IEEE Galveston Bay Section

The transportation sector has to face a historical challenge to significantly reduce its greenhouse gas emissions to limit global warming. This lecture will present the recent developments in electric, hybrid, and hydrogen vehicles, and also the challenges and opportunities of electro-mobility. The different types of electrified vehicles will be firstly introduced and their advantages and limitations will be discussed. The new technologies to be integrated into the vehicles of the future will then be presented. Some key European projects on the topic will also be briefly presented. Finally, the works of the International Lab eCAMPUS (e-mobility for CAMPUs of Sustainable Universities) will provide a broader view of the e-mobility, including economics and social aspects. Speaker(s): Alain, Virtual: https://events.vtools.ieee.org/m/324197

The transportation sector has to face a historical challenge to significantly reduce its greenhouse gas emissions to limit global warming. This lecture will present the recent developments in electric, hybrid, and hydrogen vehicles, and also the challenges and opportunities of electro-mobility. The different types of electrified vehicles will be firstly introduced and their advantages and limitations will be discussed. The new technologies to be integrated into the vehicles of the future will then be presented. Some key European projects on the topic will also be briefly presented. Finally, the works of the International Lab eCAMPUS (e-mobility for CAMPUs of Sustainable Universities) will provide a broader view of the e-mobility, including economics and social aspects. Speaker(s): Alain, Virtual: https://events.vtools.ieee.org/m/324197

The transportation sector has to face a historical challenge to significantly reduce its greenhouse gas emissions to limit global warming. This lecture will present the recent developments in electric, hybrid, and hydrogen vehicles, and also the challenges and opportunities of electro-mobility. The different types of electrified vehicles will be firstly introduced and their advantages and limitations will be discussed. The new technologies to be integrated into the vehicles of the future will then be presented. Some key European projects on the topic will also be briefly presented. Finally, the works of the International Lab eCAMPUS (e-mobility for CAMPUs of Sustainable Universities) will provide a broader view of the e-mobility, including economics and social aspects. Speaker(s): Alain, Virtual: https://events.vtools.ieee.org/m/324197

The transportation sector has to face a historical challenge to significantly reduce its greenhouse gas emissions to limit global warming. This lecture will present the recent developments in electric, hybrid, and hydrogen vehicles, and also the challenges and opportunities of electro-mobility. The different types of electrified vehicles will be firstly introduced and their advantages and limitations will be discussed. The new technologies to be integrated into the vehicles of the future will then be presented. Some key European projects on the topic will also be briefly presented. Finally, the works of the International Lab eCAMPUS (e-mobility for CAMPUs of Sustainable Universities) will provide a broader view of the e-mobility, including economics and social aspects. Speaker(s): Alain, Virtual: https://events.vtools.ieee.org/m/324197

The transportation sector has to face a historical challenge to significantly reduce its greenhouse gas emissions to limit global warming. This lecture will present the recent developments in electric, hybrid, and hydrogen vehicles, and also the challenges and opportunities of electro-mobility. The different types of electrified vehicles will be firstly introduced and their advantages and limitations will be discussed. The new technologies to be integrated into the vehicles of the future will then be presented. Some key European projects on the topic will also be briefly presented. Finally, the works of the International Lab eCAMPUS (e-mobility for CAMPUs of Sustainable Universities) will provide a broader view of the e-mobility, including economics and social aspects. Speaker(s): Alain, Virtual: https://events.vtools.ieee.org/m/324197

The transportation sector has to face a historical challenge to significantly reduce its greenhouse gas emissions to limit global warming. This lecture will present the recent developments in electric, hybrid, and hydrogen vehicles, and also the challenges and opportunities of electro-mobility. The different types of electrified vehicles will be firstly introduced and their advantages and limitations will be discussed. The new technologies to be integrated into the vehicles of the future will then be presented. Some key European projects on the topic will also be briefly presented. Finally, the works of the International Lab eCAMPUS (e-mobility for CAMPUs of Sustainable Universities) will provide a broader view of the e-mobility, including economics and social aspects. Speaker(s): Alain, Virtual: https://events.vtools.ieee.org/m/324197

The transportation sector has to face a historical challenge to significantly reduce its greenhouse gas emissions to limit global warming. This lecture will present the recent developments in electric, hybrid, and hydrogen vehicles, and also the challenges and opportunities of electro-mobility. The different types of electrified vehicles will be firstly introduced and their advantages and limitations will be discussed. The new technologies to be integrated into the vehicles of the future will then be presented. Some key European projects on the topic will also be briefly presented. Finally, the works of the International Lab eCAMPUS (e-mobility for CAMPUs of Sustainable Universities) will provide a broader view of the e-mobility, including economics and social aspects. Speaker(s): Alain, Virtual: https://events.vtools.ieee.org/m/324197

The transportation sector has to face a historical challenge to significantly reduce its greenhouse gas emissions to limit global warming. This lecture will present the recent developments in electric, hybrid, and hydrogen vehicles, and also the challenges and opportunities of electro-mobility. The different types of electrified vehicles will be firstly introduced and their advantages and limitations will be discussed. The new technologies to be integrated into the vehicles of the future will then be presented. Some key European projects on the topic will also be briefly presented. Finally, the works of the International Lab eCAMPUS (e-mobility for CAMPUs of Sustainable Universities) will provide a broader view of the e-mobility, including economics and social aspects. Speaker(s): Alain, Virtual: https://events.vtools.ieee.org/m/324197

The transportation sector has to face a historical challenge to significantly reduce its greenhouse gas emissions to limit global warming. This lecture will present the recent developments in electric, hybrid, and hydrogen vehicles, and also the challenges and opportunities of electro-mobility. The different types of electrified vehicles will be firstly introduced and their advantages and limitations will be discussed. The new technologies to be integrated into the vehicles of the future will then be presented. Some key European projects on the topic will also be briefly presented. Finally, the works of the International Lab eCAMPUS (e-mobility for CAMPUs of Sustainable Universities) will provide a broader view of the e-mobility, including economics and social aspects. Speaker(s): Alain, Virtual: https://events.vtools.ieee.org/m/324197

The transportation sector has to face a historical challenge to significantly reduce its greenhouse gas emissions to limit global warming. This lecture will present the recent developments in electric, hybrid, and hydrogen vehicles, and also the challenges and opportunities of electro-mobility. The different types of electrified vehicles will be firstly introduced and their advantages and limitations will be discussed. The new technologies to be integrated into the vehicles of the future will then be presented. Some key European projects on the topic will also be briefly presented. Finally, the works of the International Lab eCAMPUS (e-mobility for CAMPUs of Sustainable Universities) will provide a broader view of the e-mobility, including economics and social aspects. Speaker(s): Alain, Virtual: https://events.vtools.ieee.org/m/324197

The transportation sector has to face a historical challenge to significantly reduce its greenhouse gas emissions to limit global warming. This lecture will present the recent developments in electric, hybrid, and hydrogen vehicles, and also the challenges and opportunities of electro-mobility. The different types of electrified vehicles will be firstly introduced and their advantages and limitations will be discussed. The new technologies to be integrated into the vehicles of the future will then be presented. Some key European projects on the topic will also be briefly presented. Finally, the works of the International Lab eCAMPUS (e-mobility for CAMPUs of Sustainable Universities) will provide a broader view of the e-mobility, including economics and social aspects. Speaker(s): Alain, Virtual: https://events.vtools.ieee.org/m/324197

The transportation sector has to face a historical challenge to significantly reduce its greenhouse gas emissions to limit global warming. This lecture will present the recent developments in electric, hybrid, and hydrogen vehicles, and also the challenges and opportunities of electro-mobility. The different types of electrified vehicles will be firstly introduced and their advantages and limitations will be discussed. The new technologies to be integrated into the vehicles of the future will then be presented. Some key European projects on the topic will also be briefly presented. Finally, the works of the International Lab eCAMPUS (e-mobility for CAMPUs of Sustainable Universities) will provide a broader view of the e-mobility, including economics and social aspects. Speaker(s): Alain, Virtual: https://events.vtools.ieee.org/m/324197

Autonomous driving takes serious computational power, which results in increased fuel consumption in internal combustion engine-based vehicles leading to additional pollution or reducing the energy available for propulsion in electric vehicles. The energy impacts of autonomous vehicles may vary significantly along two pathways: the extent to which the partial or full automation of the autonomous vehicle technology is implemented. With significant energy storage and additional electronics in pure electric vehicles, the additional electronics due to the autonomous functionality may have less impact on the overall energy consumption and hence lower or no contributions to pollution. This presentation discusses the convergence of Electric, Autonomous, and Connected vehicles; Power Consumption problems in CAVs; CAVs and Energy Impact; and the reason for choosing electric connected autonomous vehicles(ECAV). The future trends are briefly presented. Speaker(s): Prof RAJA, Virtual: https://events.vtools.ieee.org/m/324169

Autonomous driving takes serious computational power, which results in increased fuel consumption in internal combustion engine-based vehicles leading to additional pollution or reducing the energy available for propulsion in electric vehicles. The energy impacts of autonomous vehicles may vary significantly along two pathways: the extent to which the partial or full automation of the autonomous vehicle technology is implemented. With significant energy storage and additional electronics in pure electric vehicles, the additional electronics due to the autonomous functionality may have less impact on the overall energy consumption and hence lower or no contributions to pollution. This presentation discusses the convergence of Electric, Autonomous, and Connected vehicles; Power Consumption problems in CAVs; CAVs and Energy Impact; and the reason for choosing electric connected autonomous vehicles(ECAV). The future trends are briefly presented. Speaker(s): Prof RAJA, Virtual: https://events.vtools.ieee.org/m/324169

Autonomous driving takes serious computational power, which results in increased fuel consumption in internal combustion engine-based vehicles leading to additional pollution or reducing the energy available for propulsion in electric vehicles. The energy impacts of autonomous vehicles may vary significantly along two pathways: the extent to which the partial or full automation of the autonomous vehicle technology is implemented. With significant energy storage and additional electronics in pure electric vehicles, the additional electronics due to the autonomous functionality may have less impact on the overall energy consumption and hence lower or no contributions to pollution. This presentation discusses the convergence of Electric, Autonomous, and Connected vehicles; Power Consumption problems in CAVs; CAVs and Energy Impact; and the reason for choosing electric connected autonomous vehicles(ECAV). The future trends are briefly presented. Speaker(s): Prof RAJA, Virtual: https://events.vtools.ieee.org/m/324169

Autonomous driving takes serious computational power, which results in increased fuel consumption in internal combustion engine-based vehicles leading to additional pollution or reducing the energy available for propulsion in electric vehicles. The energy impacts of autonomous vehicles may vary significantly along two pathways: the extent to which the partial or full automation of the autonomous vehicle technology is implemented. With significant energy storage and additional electronics in pure electric vehicles, the additional electronics due to the autonomous functionality may have less impact on the overall energy consumption and hence lower or no contributions to pollution. This presentation discusses the convergence of Electric, Autonomous, and Connected vehicles; Power Consumption problems in CAVs; CAVs and Energy Impact; and the reason for choosing electric connected autonomous vehicles(ECAV). The future trends are briefly presented. Speaker(s): Prof RAJA, Virtual: https://events.vtools.ieee.org/m/324169

Autonomous driving takes serious computational power, which results in increased fuel consumption in internal combustion engine-based vehicles leading to additional pollution or reducing the energy available for propulsion in electric vehicles. The energy impacts of autonomous vehicles may vary significantly along two pathways: the extent to which the partial or full automation of the autonomous vehicle technology is implemented. With significant energy storage and additional electronics in pure electric vehicles, the additional electronics due to the autonomous functionality may have less impact on the overall energy consumption and hence lower or no contributions to pollution. This presentation discusses the convergence of Electric, Autonomous, and Connected vehicles; Power Consumption problems in CAVs; CAVs and Energy Impact; and the reason for choosing electric connected autonomous vehicles(ECAV). The future trends are briefly presented. Speaker(s): Prof RAJA, Virtual: https://events.vtools.ieee.org/m/324169

Autonomous driving takes serious computational power, which results in increased fuel consumption in internal combustion engine-based vehicles leading to additional pollution or reducing the energy available for propulsion in electric vehicles. The energy impacts of autonomous vehicles may vary significantly along two pathways: the extent to which the partial or full automation of the autonomous vehicle technology is implemented. With significant energy storage and additional electronics in pure electric vehicles, the additional electronics due to the autonomous functionality may have less impact on the overall energy consumption and hence lower or no contributions to pollution. This presentation discusses the convergence of Electric, Autonomous, and Connected vehicles; Power Consumption problems in CAVs; CAVs and Energy Impact; and the reason for choosing electric connected autonomous vehicles(ECAV). The future trends are briefly presented. Speaker(s): Prof RAJA, Virtual: https://events.vtools.ieee.org/m/324169

Autonomous driving takes serious computational power, which results in increased fuel consumption in internal combustion engine-based vehicles leading to additional pollution or reducing the energy available for propulsion in electric vehicles. The energy impacts of autonomous vehicles may vary significantly along two pathways: the extent to which the partial or full automation of the autonomous vehicle technology is implemented. With significant energy storage and additional electronics in pure electric vehicles, the additional electronics due to the autonomous functionality may have less impact on the overall energy consumption and hence lower or no contributions to pollution. This presentation discusses the convergence of Electric, Autonomous, and Connected vehicles; Power Consumption problems in CAVs; CAVs and Energy Impact; and the reason for choosing electric connected autonomous vehicles(ECAV). The future trends are briefly presented. Speaker(s): Prof RAJA, Virtual: https://events.vtools.ieee.org/m/324169

Autonomous driving takes serious computational power, which results in increased fuel consumption in internal combustion engine-based vehicles leading to additional pollution or reducing the energy available for propulsion in electric vehicles. The energy impacts of autonomous vehicles may vary significantly along two pathways: the extent to which the partial or full automation of the autonomous vehicle technology is implemented. With significant energy storage and additional electronics in pure electric vehicles, the additional electronics due to the autonomous functionality may have less impact on the overall energy consumption and hence lower or no contributions to pollution. This presentation discusses the convergence of Electric, Autonomous, and Connected vehicles; Power Consumption problems in CAVs; CAVs and Energy Impact; and the reason for choosing electric connected autonomous vehicles(ECAV). The future trends are briefly presented. Speaker(s): Prof RAJA, Virtual: https://events.vtools.ieee.org/m/324169

Autonomous driving takes serious computational power, which results in increased fuel consumption in internal combustion engine-based vehicles leading to additional pollution or reducing the energy available for propulsion in electric vehicles. The energy impacts of autonomous vehicles may vary significantly along two pathways: the extent to which the partial or full automation of the autonomous vehicle technology is implemented. With significant energy storage and additional electronics in pure electric vehicles, the additional electronics due to the autonomous functionality may have less impact on the overall energy consumption and hence lower or no contributions to pollution. This presentation discusses the convergence of Electric, Autonomous, and Connected vehicles; Power Consumption problems in CAVs; CAVs and Energy Impact; and the reason for choosing electric connected autonomous vehicles(ECAV). The future trends are briefly presented. Speaker(s): Prof RAJA, Virtual: https://events.vtools.ieee.org/m/324169

Autonomous driving takes serious computational power, which results in increased fuel consumption in internal combustion engine-based vehicles leading to additional pollution or reducing the energy available for propulsion in electric vehicles. The energy impacts of autonomous vehicles may vary significantly along two pathways: the extent to which the partial or full automation of the autonomous vehicle technology is implemented. With significant energy storage and additional electronics in pure electric vehicles, the additional electronics due to the autonomous functionality may have less impact on the overall energy consumption and hence lower or no contributions to pollution. This presentation discusses the convergence of Electric, Autonomous, and Connected vehicles; Power Consumption problems in CAVs; CAVs and Energy Impact; and the reason for choosing electric connected autonomous vehicles(ECAV). The future trends are briefly presented. Speaker(s): Prof RAJA, Virtual: https://events.vtools.ieee.org/m/324169

Autonomous driving takes serious computational power, which results in increased fuel consumption in internal combustion engine-based vehicles leading to additional pollution or reducing the energy available for propulsion in electric vehicles. The energy impacts of autonomous vehicles may vary significantly along two pathways: the extent to which the partial or full automation of the autonomous vehicle technology is implemented. With significant energy storage and additional electronics in pure electric vehicles, the additional electronics due to the autonomous functionality may have less impact on the overall energy consumption and hence lower or no contributions to pollution. This presentation discusses the convergence of Electric, Autonomous, and Connected vehicles; Power Consumption problems in CAVs; CAVs and Energy Impact; and the reason for choosing electric connected autonomous vehicles(ECAV). The future trends are briefly presented. Speaker(s): Prof RAJA, Virtual: https://events.vtools.ieee.org/m/324169

Autonomous driving takes serious computational power, which results in increased fuel consumption in internal combustion engine-based vehicles leading to additional pollution or reducing the energy available for propulsion in electric vehicles. The energy impacts of autonomous vehicles may vary significantly along two pathways: the extent to which the partial or full automation of the autonomous vehicle technology is implemented. With significant energy storage and additional electronics in pure electric vehicles, the additional electronics due to the autonomous functionality may have less impact on the overall energy consumption and hence lower or no contributions to pollution. This presentation discusses the convergence of Electric, Autonomous, and Connected vehicles; Power Consumption problems in CAVs; CAVs and Energy Impact; and the reason for choosing electric connected autonomous vehicles(ECAV). The future trends are briefly presented. Speaker(s): Prof RAJA, Virtual: https://events.vtools.ieee.org/m/324169

In an ever-growing populous world, the automotive industry is faced with opportunities and challenges, which have been driving fundamental and revolutionary changes to the automotive DNA. In the coming years, advances in vehicle electrification, connectivity, and autonomous driving capability will combine to make our cars and trucks much different and much safer than those on the road today. Extensive automotive research, conducted over the past 10-15 years, has paved the way for the commercial introduction of these capabilities. With these new technologies, in addition to a substantial enhancement in fuel economy, the industry will experience a dramatic leap in active safety systems and hopefully a dramatic decline in injuries and fatalities on our roadways. Speaker(s): NADY, Virtual: https://events.vtools.ieee.org/m/324202

In an ever-growing populous world, the automotive industry is faced with opportunities and challenges, which have been driving fundamental and revolutionary changes to the automotive DNA. In the coming years, advances in vehicle electrification, connectivity, and autonomous driving capability will combine to make our cars and trucks much different and much safer than those on the road today. Extensive automotive research, conducted over the past 10-15 years, has paved the way for the commercial introduction of these capabilities. With these new technologies, in addition to a substantial enhancement in fuel economy, the industry will experience a dramatic leap in active safety systems and hopefully a dramatic decline in injuries and fatalities on our roadways. Speaker(s): NADY, Virtual: https://events.vtools.ieee.org/m/324202

In an ever-growing populous world, the automotive industry is faced with opportunities and challenges, which have been driving fundamental and revolutionary changes to the automotive DNA. In the coming years, advances in vehicle electrification, connectivity, and autonomous driving capability will combine to make our cars and trucks much different and much safer than those on the road today. Extensive automotive research, conducted over the past 10-15 years, has paved the way for the commercial introduction of these capabilities. With these new technologies, in addition to a substantial enhancement in fuel economy, the industry will experience a dramatic leap in active safety systems and hopefully a dramatic decline in injuries and fatalities on our roadways. Speaker(s): NADY, Virtual: https://events.vtools.ieee.org/m/324202

In an ever-growing populous world, the automotive industry is faced with opportunities and challenges, which have been driving fundamental and revolutionary changes to the automotive DNA. In the coming years, advances in vehicle electrification, connectivity, and autonomous driving capability will combine to make our cars and trucks much different and much safer than those on the road today. Extensive automotive research, conducted over the past 10-15 years, has paved the way for the commercial introduction of these capabilities. With these new technologies, in addition to a substantial enhancement in fuel economy, the industry will experience a dramatic leap in active safety systems and hopefully a dramatic decline in injuries and fatalities on our roadways. Speaker(s): NADY, Virtual: https://events.vtools.ieee.org/m/324202

In an ever-growing populous world, the automotive industry is faced with opportunities and challenges, which have been driving fundamental and revolutionary changes to the automotive DNA. In the coming years, advances in vehicle electrification, connectivity, and autonomous driving capability will combine to make our cars and trucks much different and much safer than those on the road today. Extensive automotive research, conducted over the past 10-15 years, has paved the way for the commercial introduction of these capabilities. With these new technologies, in addition to a substantial enhancement in fuel economy, the industry will experience a dramatic leap in active safety systems and hopefully a dramatic decline in injuries and fatalities on our roadways. Speaker(s): NADY, Virtual: https://events.vtools.ieee.org/m/324202

In an ever-growing populous world, the automotive industry is faced with opportunities and challenges, which have been driving fundamental and revolutionary changes to the automotive DNA. In the coming years, advances in vehicle electrification, connectivity, and autonomous driving capability will combine to make our cars and trucks much different and much safer than those on the road today. Extensive automotive research, conducted over the past 10-15 years, has paved the way for the commercial introduction of these capabilities. With these new technologies, in addition to a substantial enhancement in fuel economy, the industry will experience a dramatic leap in active safety systems and hopefully a dramatic decline in injuries and fatalities on our roadways. Speaker(s): NADY, Virtual: https://events.vtools.ieee.org/m/324202

In an ever-growing populous world, the automotive industry is faced with opportunities and challenges, which have been driving fundamental and revolutionary changes to the automotive DNA. In the coming years, advances in vehicle electrification, connectivity, and autonomous driving capability will combine to make our cars and trucks much different and much safer than those on the road today. Extensive automotive research, conducted over the past 10-15 years, has paved the way for the commercial introduction of these capabilities. With these new technologies, in addition to a substantial enhancement in fuel economy, the industry will experience a dramatic leap in active safety systems and hopefully a dramatic decline in injuries and fatalities on our roadways. Speaker(s): NADY, Virtual: https://events.vtools.ieee.org/m/324202

In an ever-growing populous world, the automotive industry is faced with opportunities and challenges, which have been driving fundamental and revolutionary changes to the automotive DNA. In the coming years, advances in vehicle electrification, connectivity, and autonomous driving capability will combine to make our cars and trucks much different and much safer than those on the road today. Extensive automotive research, conducted over the past 10-15 years, has paved the way for the commercial introduction of these capabilities. With these new technologies, in addition to a substantial enhancement in fuel economy, the industry will experience a dramatic leap in active safety systems and hopefully a dramatic decline in injuries and fatalities on our roadways. Speaker(s): NADY, Virtual: https://events.vtools.ieee.org/m/324202

In an ever-growing populous world, the automotive industry is faced with opportunities and challenges, which have been driving fundamental and revolutionary changes to the automotive DNA. In the coming years, advances in vehicle electrification, connectivity, and autonomous driving capability will combine to make our cars and trucks much different and much safer than those on the road today. Extensive automotive research, conducted over the past 10-15 years, has paved the way for the commercial introduction of these capabilities. With these new technologies, in addition to a substantial enhancement in fuel economy, the industry will experience a dramatic leap in active safety systems and hopefully a dramatic decline in injuries and fatalities on our roadways. Speaker(s): NADY, Virtual: https://events.vtools.ieee.org/m/324202

In an ever-growing populous world, the automotive industry is faced with opportunities and challenges, which have been driving fundamental and revolutionary changes to the automotive DNA. In the coming years, advances in vehicle electrification, connectivity, and autonomous driving capability will combine to make our cars and trucks much different and much safer than those on the road today. Extensive automotive research, conducted over the past 10-15 years, has paved the way for the commercial introduction of these capabilities. With these new technologies, in addition to a substantial enhancement in fuel economy, the industry will experience a dramatic leap in active safety systems and hopefully a dramatic decline in injuries and fatalities on our roadways. Speaker(s): NADY, Virtual: https://events.vtools.ieee.org/m/324202

In an ever-growing populous world, the automotive industry is faced with opportunities and challenges, which have been driving fundamental and revolutionary changes to the automotive DNA. In the coming years, advances in vehicle electrification, connectivity, and autonomous driving capability will combine to make our cars and trucks much different and much safer than those on the road today. Extensive automotive research, conducted over the past 10-15 years, has paved the way for the commercial introduction of these capabilities. With these new technologies, in addition to a substantial enhancement in fuel economy, the industry will experience a dramatic leap in active safety systems and hopefully a dramatic decline in injuries and fatalities on our roadways. Speaker(s): NADY, Virtual: https://events.vtools.ieee.org/m/324202

In an ever-growing populous world, the automotive industry is faced with opportunities and challenges, which have been driving fundamental and revolutionary changes to the automotive DNA. In the coming years, advances in vehicle electrification, connectivity, and autonomous driving capability will combine to make our cars and trucks much different and much safer than those on the road today. Extensive automotive research, conducted over the past 10-15 years, has paved the way for the commercial introduction of these capabilities. With these new technologies, in addition to a substantial enhancement in fuel economy, the industry will experience a dramatic leap in active safety systems and hopefully a dramatic decline in injuries and fatalities on our roadways. Speaker(s): NADY, Virtual: https://events.vtools.ieee.org/m/324202

With the proliferation of surveillance cameras, society needs means to identify people from the images these cameras provide. Crime-solving websites are replete with imagery of criminals who are often disguised and/or at low resolution; terrorist attacks yield more imagery. We noticed this many years ago and were the first to develop systems that aimed to recognize people by their gait and their style of walking. This talk will describe some of the earlier approaches and their motivation, together with the recent works on deep learning. More recently we have moved to recognize from human descriptions, consistent with eyewitness statements and the limited spatial and temporal resolution of surveillance imagery, and the chance of disguise. We have shown that human descriptions can be used for recognition and retrieval and formulated ways to make these descriptions more effective. We have so far used descriptions of the face, the body, and the clothing, and our current work shows how the labels can be derived by computer vision and explore the new information available by the interface between semantic description and automated recognition. This talk thus surveys these areas, describing progress in gait and in soft biometrics. Speaker(s): Prof Nixon, Virtual: https://events.vtools.ieee.org/m/324472

With the proliferation of surveillance cameras, society needs means to identify people from the images these cameras provide. Crime-solving websites are replete with imagery of criminals who are often disguised and/or at low resolution; terrorist attacks yield more imagery. We noticed this many years ago and were the first to develop systems that aimed to recognize people by their gait and their style of walking. This talk will describe some of the earlier approaches and their motivation, together with the recent works on deep learning. More recently we have moved to recognize from human descriptions, consistent with eyewitness statements and the limited spatial and temporal resolution of surveillance imagery, and the chance of disguise. We have shown that human descriptions can be used for recognition and retrieval and formulated ways to make these descriptions more effective. We have so far used descriptions of the face, the body, and the clothing, and our current work shows how the labels can be derived by computer vision and explore the new information available by the interface between semantic description and automated recognition. This talk thus surveys these areas, describing progress in gait and in soft biometrics. Speaker(s): Prof Nixon, Virtual: https://events.vtools.ieee.org/m/324472

With the proliferation of surveillance cameras, society needs means to identify people from the images these cameras provide. Crime-solving websites are replete with imagery of criminals who are often disguised and/or at low resolution; terrorist attacks yield more imagery. We noticed this many years ago and were the first to develop systems that aimed to recognize people by their gait and their style of walking. This talk will describe some of the earlier approaches and their motivation, together with the recent works on deep learning. More recently we have moved to recognize from human descriptions, consistent with eyewitness statements and the limited spatial and temporal resolution of surveillance imagery, and the chance of disguise. We have shown that human descriptions can be used for recognition and retrieval and formulated ways to make these descriptions more effective. We have so far used descriptions of the face, the body, and the clothing, and our current work shows how the labels can be derived by computer vision and explore the new information available by the interface between semantic description and automated recognition. This talk thus surveys these areas, describing progress in gait and in soft biometrics. Speaker(s): Prof Nixon, Virtual: https://events.vtools.ieee.org/m/324472

With the proliferation of surveillance cameras, society needs means to identify people from the images these cameras provide. Crime-solving websites are replete with imagery of criminals who are often disguised and/or at low resolution; terrorist attacks yield more imagery. We noticed this many years ago and were the first to develop systems that aimed to recognize people by their gait and their style of walking. This talk will describe some of the earlier approaches and their motivation, together with the recent works on deep learning. More recently we have moved to recognize from human descriptions, consistent with eyewitness statements and the limited spatial and temporal resolution of surveillance imagery, and the chance of disguise. We have shown that human descriptions can be used for recognition and retrieval and formulated ways to make these descriptions more effective. We have so far used descriptions of the face, the body, and the clothing, and our current work shows how the labels can be derived by computer vision and explore the new information available by the interface between semantic description and automated recognition. This talk thus surveys these areas, describing progress in gait and in soft biometrics. Speaker(s): Prof Nixon, Virtual: https://events.vtools.ieee.org/m/324472

With the proliferation of surveillance cameras, society needs means to identify people from the images these cameras provide. Crime-solving websites are replete with imagery of criminals who are often disguised and/or at low resolution; terrorist attacks yield more imagery. We noticed this many years ago and were the first to develop systems that aimed to recognize people by their gait and their style of walking. This talk will describe some of the earlier approaches and their motivation, together with the recent works on deep learning. More recently we have moved to recognize from human descriptions, consistent with eyewitness statements and the limited spatial and temporal resolution of surveillance imagery, and the chance of disguise. We have shown that human descriptions can be used for recognition and retrieval and formulated ways to make these descriptions more effective. We have so far used descriptions of the face, the body, and the clothing, and our current work shows how the labels can be derived by computer vision and explore the new information available by the interface between semantic description and automated recognition. This talk thus surveys these areas, describing progress in gait and in soft biometrics. Speaker(s): Prof Nixon, Virtual: https://events.vtools.ieee.org/m/324472

With the proliferation of surveillance cameras, society needs means to identify people from the images these cameras provide. Crime-solving websites are replete with imagery of criminals who are often disguised and/or at low resolution; terrorist attacks yield more imagery. We noticed this many years ago and were the first to develop systems that aimed to recognize people by their gait and their style of walking. This talk will describe some of the earlier approaches and their motivation, together with the recent works on deep learning. More recently we have moved to recognize from human descriptions, consistent with eyewitness statements and the limited spatial and temporal resolution of surveillance imagery, and the chance of disguise. We have shown that human descriptions can be used for recognition and retrieval and formulated ways to make these descriptions more effective. We have so far used descriptions of the face, the body, and the clothing, and our current work shows how the labels can be derived by computer vision and explore the new information available by the interface between semantic description and automated recognition. This talk thus surveys these areas, describing progress in gait and in soft biometrics. Speaker(s): Prof Nixon, Virtual: https://events.vtools.ieee.org/m/324472

With the proliferation of surveillance cameras, society needs means to identify people from the images these cameras provide. Crime-solving websites are replete with imagery of criminals who are often disguised and/or at low resolution; terrorist attacks yield more imagery. We noticed this many years ago and were the first to develop systems that aimed to recognize people by their gait and their style of walking. This talk will describe some of the earlier approaches and their motivation, together with the recent works on deep learning. More recently we have moved to recognize from human descriptions, consistent with eyewitness statements and the limited spatial and temporal resolution of surveillance imagery, and the chance of disguise. We have shown that human descriptions can be used for recognition and retrieval and formulated ways to make these descriptions more effective. We have so far used descriptions of the face, the body, and the clothing, and our current work shows how the labels can be derived by computer vision and explore the new information available by the interface between semantic description and automated recognition. This talk thus surveys these areas, describing progress in gait and in soft biometrics. Speaker(s): Prof Nixon, Virtual: https://events.vtools.ieee.org/m/324472

With the proliferation of surveillance cameras, society needs means to identify people from the images these cameras provide. Crime-solving websites are replete with imagery of criminals who are often disguised and/or at low resolution; terrorist attacks yield more imagery. We noticed this many years ago and were the first to develop systems that aimed to recognize people by their gait and their style of walking. This talk will describe some of the earlier approaches and their motivation, together with the recent works on deep learning. More recently we have moved to recognize from human descriptions, consistent with eyewitness statements and the limited spatial and temporal resolution of surveillance imagery, and the chance of disguise. We have shown that human descriptions can be used for recognition and retrieval and formulated ways to make these descriptions more effective. We have so far used descriptions of the face, the body, and the clothing, and our current work shows how the labels can be derived by computer vision and explore the new information available by the interface between semantic description and automated recognition. This talk thus surveys these areas, describing progress in gait and in soft biometrics. Speaker(s): Prof Nixon, Virtual: https://events.vtools.ieee.org/m/324472

With the proliferation of surveillance cameras, society needs means to identify people from the images these cameras provide. Crime-solving websites are replete with imagery of criminals who are often disguised and/or at low resolution; terrorist attacks yield more imagery. We noticed this many years ago and were the first to develop systems that aimed to recognize people by their gait and their style of walking. This talk will describe some of the earlier approaches and their motivation, together with the recent works on deep learning. More recently we have moved to recognize from human descriptions, consistent with eyewitness statements and the limited spatial and temporal resolution of surveillance imagery, and the chance of disguise. We have shown that human descriptions can be used for recognition and retrieval and formulated ways to make these descriptions more effective. We have so far used descriptions of the face, the body, and the clothing, and our current work shows how the labels can be derived by computer vision and explore the new information available by the interface between semantic description and automated recognition. This talk thus surveys these areas, describing progress in gait and in soft biometrics. Speaker(s): Prof Nixon, Virtual: https://events.vtools.ieee.org/m/324472

With the proliferation of surveillance cameras, society needs means to identify people from the images these cameras provide. Crime-solving websites are replete with imagery of criminals who are often disguised and/or at low resolution; terrorist attacks yield more imagery. We noticed this many years ago and were the first to develop systems that aimed to recognize people by their gait and their style of walking. This talk will describe some of the earlier approaches and their motivation, together with the recent works on deep learning. More recently we have moved to recognize from human descriptions, consistent with eyewitness statements and the limited spatial and temporal resolution of surveillance imagery, and the chance of disguise. We have shown that human descriptions can be used for recognition and retrieval and formulated ways to make these descriptions more effective. We have so far used descriptions of the face, the body, and the clothing, and our current work shows how the labels can be derived by computer vision and explore the new information available by the interface between semantic description and automated recognition. This talk thus surveys these areas, describing progress in gait and in soft biometrics. Speaker(s): Prof Nixon, Virtual: https://events.vtools.ieee.org/m/324472

With the proliferation of surveillance cameras, society needs means to identify people from the images these cameras provide. Crime-solving websites are replete with imagery of criminals who are often disguised and/or at low resolution; terrorist attacks yield more imagery. We noticed this many years ago and were the first to develop systems that aimed to recognize people by their gait and their style of walking. This talk will describe some of the earlier approaches and their motivation, together with the recent works on deep learning. More recently we have moved to recognize from human descriptions, consistent with eyewitness statements and the limited spatial and temporal resolution of surveillance imagery, and the chance of disguise. We have shown that human descriptions can be used for recognition and retrieval and formulated ways to make these descriptions more effective. We have so far used descriptions of the face, the body, and the clothing, and our current work shows how the labels can be derived by computer vision and explore the new information available by the interface between semantic description and automated recognition. This talk thus surveys these areas, describing progress in gait and in soft biometrics. Speaker(s): Prof Nixon, Virtual: https://events.vtools.ieee.org/m/324472

With the proliferation of surveillance cameras, society needs means to identify people from the images these cameras provide. Crime-solving websites are replete with imagery of criminals who are often disguised and/or at low resolution; terrorist attacks yield more imagery. We noticed this many years ago and were the first to develop systems that aimed to recognize people by their gait and their style of walking. This talk will describe some of the earlier approaches and their motivation, together with the recent works on deep learning. More recently we have moved to recognize from human descriptions, consistent with eyewitness statements and the limited spatial and temporal resolution of surveillance imagery, and the chance of disguise. We have shown that human descriptions can be used for recognition and retrieval and formulated ways to make these descriptions more effective. We have so far used descriptions of the face, the body, and the clothing, and our current work shows how the labels can be derived by computer vision and explore the new information available by the interface between semantic description and automated recognition. This talk thus surveys these areas, describing progress in gait and in soft biometrics. Speaker(s): Prof Nixon, Virtual: https://events.vtools.ieee.org/m/324472

We present an overview of two decades of innovation in handwriting recognition at the Govindaraju lab at the University at Buffalo and offer a perspective on the evolution of research in this area and the future of the field. We highlight our seminal work in handwriting recognition that was at the core of the first handwritten address interpretation system used by the U.S. Postal Service, described as one of the first practical success stories of AI We journey through the HWR landscape, from lexicon-based to lexicon-free approaches, and from heuristics-driven techniques to the principal methodologies that we introduced. We explore a sample of the variety of impactful applications that resulted from our research, from the processing of healthcare forms for the NYS Department of Health for deriving early indicators of outbreaks, to access to historical documents through word spotting, transcript mapping, and other indexing schemes for digital libraries, to award-winning pre-processing techniques and multilingual OCR solutions for automated machine translation for armed forces in the theater. We introduce the novel concept of accents in handwriting and our pioneering use of handwritten CAPTCHAs to enhance security. We end with a look at some of the challenging problems that we are working on in the digital humanities space and new ideas to explore such as the potential use of whiteboard recognition technologies in the flipped classroom setting. Speaker(s): Prof Govindaraju, Virtual: https://events.vtools.ieee.org/m/324475

We present an overview of two decades of innovation in handwriting recognition at the Govindaraju lab at the University at Buffalo and offer a perspective on the evolution of research in this area and the future of the field. We highlight our seminal work in handwriting recognition that was at the core of the first handwritten address interpretation system used by the U.S. Postal Service, described as one of the first practical success stories of AI We journey through the HWR landscape, from lexicon-based to lexicon-free approaches, and from heuristics-driven techniques to the principal methodologies that we introduced. We explore a sample of the variety of impactful applications that resulted from our research, from the processing of healthcare forms for the NYS Department of Health for deriving early indicators of outbreaks, to access to historical documents through word spotting, transcript mapping, and other indexing schemes for digital libraries, to award-winning pre-processing techniques and multilingual OCR solutions for automated machine translation for armed forces in the theater. We introduce the novel concept of accents in handwriting and our pioneering use of handwritten CAPTCHAs to enhance security. We end with a look at some of the challenging problems that we are working on in the digital humanities space and new ideas to explore such as the potential use of whiteboard recognition technologies in the flipped classroom setting. Speaker(s): Prof Govindaraju, Virtual: https://events.vtools.ieee.org/m/324475

We present an overview of two decades of innovation in handwriting recognition at the Govindaraju lab at the University at Buffalo and offer a perspective on the evolution of research in this area and the future of the field. We highlight our seminal work in handwriting recognition that was at the core of the first handwritten address interpretation system used by the U.S. Postal Service, described as one of the first practical success stories of AI We journey through the HWR landscape, from lexicon-based to lexicon-free approaches, and from heuristics-driven techniques to the principal methodologies that we introduced. We explore a sample of the variety of impactful applications that resulted from our research, from the processing of healthcare forms for the NYS Department of Health for deriving early indicators of outbreaks, to access to historical documents through word spotting, transcript mapping, and other indexing schemes for digital libraries, to award-winning pre-processing techniques and multilingual OCR solutions for automated machine translation for armed forces in the theater. We introduce the novel concept of accents in handwriting and our pioneering use of handwritten CAPTCHAs to enhance security. We end with a look at some of the challenging problems that we are working on in the digital humanities space and new ideas to explore such as the potential use of whiteboard recognition technologies in the flipped classroom setting. Speaker(s): Prof Govindaraju, Virtual: https://events.vtools.ieee.org/m/324475

We present an overview of two decades of innovation in handwriting recognition at the Govindaraju lab at the University at Buffalo and offer a perspective on the evolution of research in this area and the future of the field. We highlight our seminal work in handwriting recognition that was at the core of the first handwritten address interpretation system used by the U.S. Postal Service, described as one of the first practical success stories of AI We journey through the HWR landscape, from lexicon-based to lexicon-free approaches, and from heuristics-driven techniques to the principal methodologies that we introduced. We explore a sample of the variety of impactful applications that resulted from our research, from the processing of healthcare forms for the NYS Department of Health for deriving early indicators of outbreaks, to access to historical documents through word spotting, transcript mapping, and other indexing schemes for digital libraries, to award-winning pre-processing techniques and multilingual OCR solutions for automated machine translation for armed forces in the theater. We introduce the novel concept of accents in handwriting and our pioneering use of handwritten CAPTCHAs to enhance security. We end with a look at some of the challenging problems that we are working on in the digital humanities space and new ideas to explore such as the potential use of whiteboard recognition technologies in the flipped classroom setting. Speaker(s): Prof Govindaraju, Virtual: https://events.vtools.ieee.org/m/324475

We present an overview of two decades of innovation in handwriting recognition at the Govindaraju lab at the University at Buffalo and offer a perspective on the evolution of research in this area and the future of the field. We highlight our seminal work in handwriting recognition that was at the core of the first handwritten address interpretation system used by the U.S. Postal Service, described as one of the first practical success stories of AI We journey through the HWR landscape, from lexicon-based to lexicon-free approaches, and from heuristics-driven techniques to the principal methodologies that we introduced. We explore a sample of the variety of impactful applications that resulted from our research, from the processing of healthcare forms for the NYS Department of Health for deriving early indicators of outbreaks, to access to historical documents through word spotting, transcript mapping, and other indexing schemes for digital libraries, to award-winning pre-processing techniques and multilingual OCR solutions for automated machine translation for armed forces in the theater. We introduce the novel concept of accents in handwriting and our pioneering use of handwritten CAPTCHAs to enhance security. We end with a look at some of the challenging problems that we are working on in the digital humanities space and new ideas to explore such as the potential use of whiteboard recognition technologies in the flipped classroom setting. Speaker(s): Prof Govindaraju, Virtual: https://events.vtools.ieee.org/m/324475

We present an overview of two decades of innovation in handwriting recognition at the Govindaraju lab at the University at Buffalo and offer a perspective on the evolution of research in this area and the future of the field. We highlight our seminal work in handwriting recognition that was at the core of the first handwritten address interpretation system used by the U.S. Postal Service, described as one of the first practical success stories of AI We journey through the HWR landscape, from lexicon-based to lexicon-free approaches, and from heuristics-driven techniques to the principal methodologies that we introduced. We explore a sample of the variety of impactful applications that resulted from our research, from the processing of healthcare forms for the NYS Department of Health for deriving early indicators of outbreaks, to access to historical documents through word spotting, transcript mapping, and other indexing schemes for digital libraries, to award-winning pre-processing techniques and multilingual OCR solutions for automated machine translation for armed forces in the theater. We introduce the novel concept of accents in handwriting and our pioneering use of handwritten CAPTCHAs to enhance security. We end with a look at some of the challenging problems that we are working on in the digital humanities space and new ideas to explore such as the potential use of whiteboard recognition technologies in the flipped classroom setting. Speaker(s): Prof Govindaraju, Virtual: https://events.vtools.ieee.org/m/324475

We present an overview of two decades of innovation in handwriting recognition at the Govindaraju lab at the University at Buffalo and offer a perspective on the evolution of research in this area and the future of the field. We highlight our seminal work in handwriting recognition that was at the core of the first handwritten address interpretation system used by the U.S. Postal Service, described as one of the first practical success stories of AI We journey through the HWR landscape, from lexicon-based to lexicon-free approaches, and from heuristics-driven techniques to the principal methodologies that we introduced. We explore a sample of the variety of impactful applications that resulted from our research, from the processing of healthcare forms for the NYS Department of Health for deriving early indicators of outbreaks, to access to historical documents through word spotting, transcript mapping, and other indexing schemes for digital libraries, to award-winning pre-processing techniques and multilingual OCR solutions for automated machine translation for armed forces in the theater. We introduce the novel concept of accents in handwriting and our pioneering use of handwritten CAPTCHAs to enhance security. We end with a look at some of the challenging problems that we are working on in the digital humanities space and new ideas to explore such as the potential use of whiteboard recognition technologies in the flipped classroom setting. Speaker(s): Prof Govindaraju, Virtual: https://events.vtools.ieee.org/m/324475

We present an overview of two decades of innovation in handwriting recognition at the Govindaraju lab at the University at Buffalo and offer a perspective on the evolution of research in this area and the future of the field. We highlight our seminal work in handwriting recognition that was at the core of the first handwritten address interpretation system used by the U.S. Postal Service, described as one of the first practical success stories of AI We journey through the HWR landscape, from lexicon-based to lexicon-free approaches, and from heuristics-driven techniques to the principal methodologies that we introduced. We explore a sample of the variety of impactful applications that resulted from our research, from the processing of healthcare forms for the NYS Department of Health for deriving early indicators of outbreaks, to access to historical documents through word spotting, transcript mapping, and other indexing schemes for digital libraries, to award-winning pre-processing techniques and multilingual OCR solutions for automated machine translation for armed forces in the theater. We introduce the novel concept of accents in handwriting and our pioneering use of handwritten CAPTCHAs to enhance security. We end with a look at some of the challenging problems that we are working on in the digital humanities space and new ideas to explore such as the potential use of whiteboard recognition technologies in the flipped classroom setting. Speaker(s): Prof Govindaraju, Virtual: https://events.vtools.ieee.org/m/324475

We present an overview of two decades of innovation in handwriting recognition at the Govindaraju lab at the University at Buffalo and offer a perspective on the evolution of research in this area and the future of the field. We highlight our seminal work in handwriting recognition that was at the core of the first handwritten address interpretation system used by the U.S. Postal Service, described as one of the first practical success stories of AI We journey through the HWR landscape, from lexicon-based to lexicon-free approaches, and from heuristics-driven techniques to the principal methodologies that we introduced. We explore a sample of the variety of impactful applications that resulted from our research, from the processing of healthcare forms for the NYS Department of Health for deriving early indicators of outbreaks, to access to historical documents through word spotting, transcript mapping, and other indexing schemes for digital libraries, to award-winning pre-processing techniques and multilingual OCR solutions for automated machine translation for armed forces in the theater. We introduce the novel concept of accents in handwriting and our pioneering use of handwritten CAPTCHAs to enhance security. We end with a look at some of the challenging problems that we are working on in the digital humanities space and new ideas to explore such as the potential use of whiteboard recognition technologies in the flipped classroom setting. Speaker(s): Prof Govindaraju, Virtual: https://events.vtools.ieee.org/m/324475

We present an overview of two decades of innovation in handwriting recognition at the Govindaraju lab at the University at Buffalo and offer a perspective on the evolution of research in this area and the future of the field. We highlight our seminal work in handwriting recognition that was at the core of the first handwritten address interpretation system used by the U.S. Postal Service, described as one of the first practical success stories of AI We journey through the HWR landscape, from lexicon-based to lexicon-free approaches, and from heuristics-driven techniques to the principal methodologies that we introduced. We explore a sample of the variety of impactful applications that resulted from our research, from the processing of healthcare forms for the NYS Department of Health for deriving early indicators of outbreaks, to access to historical documents through word spotting, transcript mapping, and other indexing schemes for digital libraries, to award-winning pre-processing techniques and multilingual OCR solutions for automated machine translation for armed forces in the theater. We introduce the novel concept of accents in handwriting and our pioneering use of handwritten CAPTCHAs to enhance security. We end with a look at some of the challenging problems that we are working on in the digital humanities space and new ideas to explore such as the potential use of whiteboard recognition technologies in the flipped classroom setting. Speaker(s): Prof Govindaraju, Virtual: https://events.vtools.ieee.org/m/324475

We present an overview of two decades of innovation in handwriting recognition at the Govindaraju lab at the University at Buffalo and offer a perspective on the evolution of research in this area and the future of the field. We highlight our seminal work in handwriting recognition that was at the core of the first handwritten address interpretation system used by the U.S. Postal Service, described as one of the first practical success stories of AI We journey through the HWR landscape, from lexicon-based to lexicon-free approaches, and from heuristics-driven techniques to the principal methodologies that we introduced. We explore a sample of the variety of impactful applications that resulted from our research, from the processing of healthcare forms for the NYS Department of Health for deriving early indicators of outbreaks, to access to historical documents through word spotting, transcript mapping, and other indexing schemes for digital libraries, to award-winning pre-processing techniques and multilingual OCR solutions for automated machine translation for armed forces in the theater. We introduce the novel concept of accents in handwriting and our pioneering use of handwritten CAPTCHAs to enhance security. We end with a look at some of the challenging problems that we are working on in the digital humanities space and new ideas to explore such as the potential use of whiteboard recognition technologies in the flipped classroom setting. Speaker(s): Prof Govindaraju, Virtual: https://events.vtools.ieee.org/m/324475

We present an overview of two decades of innovation in handwriting recognition at the Govindaraju lab at the University at Buffalo and offer a perspective on the evolution of research in this area and the future of the field. We highlight our seminal work in handwriting recognition that was at the core of the first handwritten address interpretation system used by the U.S. Postal Service, described as one of the first practical success stories of AI We journey through the HWR landscape, from lexicon-based to lexicon-free approaches, and from heuristics-driven techniques to the principal methodologies that we introduced. We explore a sample of the variety of impactful applications that resulted from our research, from the processing of healthcare forms for the NYS Department of Health for deriving early indicators of outbreaks, to access to historical documents through word spotting, transcript mapping, and other indexing schemes for digital libraries, to award-winning pre-processing techniques and multilingual OCR solutions for automated machine translation for armed forces in the theater. We introduce the novel concept of accents in handwriting and our pioneering use of handwritten CAPTCHAs to enhance security. We end with a look at some of the challenging problems that we are working on in the digital humanities space and new ideas to explore such as the potential use of whiteboard recognition technologies in the flipped classroom setting. Speaker(s): Prof Govindaraju, Virtual: https://events.vtools.ieee.org/m/324475

With the rapid progress in the field of sensors and instrumentation systems, day by day, there is good technological development in the industry, engineering, medicine, and other scientific fields. However, more sophisticated sensor systems are still required to be developed for fast measurements in an intelligent manner. In the present talk, the development of new nano-ultrasonic and nano-acoustic sensor systems is described for measurements in a reliable manner for remote monitoring and control of the health of old age patients living in remote and hilly areas. Advanced acoustic/ultrasonic biomedical sensors and IoT-based systems are presented for healthcare care applications, with the main emphasis on telehealth, The newly developed diagnostic and therapeutic devices by using RFID chips, nano-scale or sensor-enabled radio technologies, and sensor networks would thus be useful for solving the problem of unexplored diseases in the future, as well as for controlling the quality of medicines, drugs, equipment, and physiological event monitoring systems. WSN (Wireless Sensor Networking) is preferred to be used here with the sensing devices for remote applications. Speaker(s): Prof Singh, Virtual: https://events.vtools.ieee.org/m/324476

With the rapid progress in the field of sensors and instrumentation systems, day by day, there is good technological development in the industry, engineering, medicine, and other scientific fields. However, more sophisticated sensor systems are still required to be developed for fast measurements in an intelligent manner. In the present talk, the development of new nano-ultrasonic and nano-acoustic sensor systems is described for measurements in a reliable manner for remote monitoring and control of the health of old age patients living in remote and hilly areas. Advanced acoustic/ultrasonic biomedical sensors and IoT-based systems are presented for healthcare care applications, with the main emphasis on telehealth, The newly developed diagnostic and therapeutic devices by using RFID chips, nano-scale or sensor-enabled radio technologies, and sensor networks would thus be useful for solving the problem of unexplored diseases in the future, as well as for controlling the quality of medicines, drugs, equipment, and physiological event monitoring systems. WSN (Wireless Sensor Networking) is preferred to be used here with the sensing devices for remote applications. Speaker(s): Prof Singh, Virtual: https://events.vtools.ieee.org/m/324476

With the rapid progress in the field of sensors and instrumentation systems, day by day, there is good technological development in the industry, engineering, medicine, and other scientific fields. However, more sophisticated sensor systems are still required to be developed for fast measurements in an intelligent manner. In the present talk, the development of new nano-ultrasonic and nano-acoustic sensor systems is described for measurements in a reliable manner for remote monitoring and control of the health of old age patients living in remote and hilly areas. Advanced acoustic/ultrasonic biomedical sensors and IoT-based systems are presented for healthcare care applications, with the main emphasis on telehealth, The newly developed diagnostic and therapeutic devices by using RFID chips, nano-scale or sensor-enabled radio technologies, and sensor networks would thus be useful for solving the problem of unexplored diseases in the future, as well as for controlling the quality of medicines, drugs, equipment, and physiological event monitoring systems. WSN (Wireless Sensor Networking) is preferred to be used here with the sensing devices for remote applications. Speaker(s): Prof Singh, Virtual: https://events.vtools.ieee.org/m/324476

With the rapid progress in the field of sensors and instrumentation systems, day by day, there is good technological development in the industry, engineering, medicine, and other scientific fields. However, more sophisticated sensor systems are still required to be developed for fast measurements in an intelligent manner. In the present talk, the development of new nano-ultrasonic and nano-acoustic sensor systems is described for measurements in a reliable manner for remote monitoring and control of the health of old age patients living in remote and hilly areas. Advanced acoustic/ultrasonic biomedical sensors and IoT-based systems are presented for healthcare care applications, with the main emphasis on telehealth, The newly developed diagnostic and therapeutic devices by using RFID chips, nano-scale or sensor-enabled radio technologies, and sensor networks would thus be useful for solving the problem of unexplored diseases in the future, as well as for controlling the quality of medicines, drugs, equipment, and physiological event monitoring systems. WSN (Wireless Sensor Networking) is preferred to be used here with the sensing devices for remote applications. Speaker(s): Prof Singh, Virtual: https://events.vtools.ieee.org/m/324476

With the rapid progress in the field of sensors and instrumentation systems, day by day, there is good technological development in the industry, engineering, medicine, and other scientific fields. However, more sophisticated sensor systems are still required to be developed for fast measurements in an intelligent manner. In the present talk, the development of new nano-ultrasonic and nano-acoustic sensor systems is described for measurements in a reliable manner for remote monitoring and control of the health of old age patients living in remote and hilly areas. Advanced acoustic/ultrasonic biomedical sensors and IoT-based systems are presented for healthcare care applications, with the main emphasis on telehealth, The newly developed diagnostic and therapeutic devices by using RFID chips, nano-scale or sensor-enabled radio technologies, and sensor networks would thus be useful for solving the problem of unexplored diseases in the future, as well as for controlling the quality of medicines, drugs, equipment, and physiological event monitoring systems. WSN (Wireless Sensor Networking) is preferred to be used here with the sensing devices for remote applications. Speaker(s): Prof Singh, Virtual: https://events.vtools.ieee.org/m/324476

With the rapid progress in the field of sensors and instrumentation systems, day by day, there is good technological development in the industry, engineering, medicine, and other scientific fields. However, more sophisticated sensor systems are still required to be developed for fast measurements in an intelligent manner. In the present talk, the development of new nano-ultrasonic and nano-acoustic sensor systems is described for measurements in a reliable manner for remote monitoring and control of the health of old age patients living in remote and hilly areas. Advanced acoustic/ultrasonic biomedical sensors and IoT-based systems are presented for healthcare care applications, with the main emphasis on telehealth, The newly developed diagnostic and therapeutic devices by using RFID chips, nano-scale or sensor-enabled radio technologies, and sensor networks would thus be useful for solving the problem of unexplored diseases in the future, as well as for controlling the quality of medicines, drugs, equipment, and physiological event monitoring systems. WSN (Wireless Sensor Networking) is preferred to be used here with the sensing devices for remote applications. Speaker(s): Prof Singh, Virtual: https://events.vtools.ieee.org/m/324476

With the rapid progress in the field of sensors and instrumentation systems, day by day, there is good technological development in the industry, engineering, medicine, and other scientific fields. However, more sophisticated sensor systems are still required to be developed for fast measurements in an intelligent manner. In the present talk, the development of new nano-ultrasonic and nano-acoustic sensor systems is described for measurements in a reliable manner for remote monitoring and control of the health of old age patients living in remote and hilly areas. Advanced acoustic/ultrasonic biomedical sensors and IoT-based systems are presented for healthcare care applications, with the main emphasis on telehealth, The newly developed diagnostic and therapeutic devices by using RFID chips, nano-scale or sensor-enabled radio technologies, and sensor networks would thus be useful for solving the problem of unexplored diseases in the future, as well as for controlling the quality of medicines, drugs, equipment, and physiological event monitoring systems. WSN (Wireless Sensor Networking) is preferred to be used here with the sensing devices for remote applications. Speaker(s): Prof Singh, Virtual: https://events.vtools.ieee.org/m/324476

With the rapid progress in the field of sensors and instrumentation systems, day by day, there is good technological development in the industry, engineering, medicine, and other scientific fields. However, more sophisticated sensor systems are still required to be developed for fast measurements in an intelligent manner. In the present talk, the development of new nano-ultrasonic and nano-acoustic sensor systems is described for measurements in a reliable manner for remote monitoring and control of the health of old age patients living in remote and hilly areas. Advanced acoustic/ultrasonic biomedical sensors and IoT-based systems are presented for healthcare care applications, with the main emphasis on telehealth, The newly developed diagnostic and therapeutic devices by using RFID chips, nano-scale or sensor-enabled radio technologies, and sensor networks would thus be useful for solving the problem of unexplored diseases in the future, as well as for controlling the quality of medicines, drugs, equipment, and physiological event monitoring systems. WSN (Wireless Sensor Networking) is preferred to be used here with the sensing devices for remote applications. Speaker(s): Prof Singh, Virtual: https://events.vtools.ieee.org/m/324476

With the rapid progress in the field of sensors and instrumentation systems, day by day, there is good technological development in the industry, engineering, medicine, and other scientific fields. However, more sophisticated sensor systems are still required to be developed for fast measurements in an intelligent manner. In the present talk, the development of new nano-ultrasonic and nano-acoustic sensor systems is described for measurements in a reliable manner for remote monitoring and control of the health of old age patients living in remote and hilly areas. Advanced acoustic/ultrasonic biomedical sensors and IoT-based systems are presented for healthcare care applications, with the main emphasis on telehealth, The newly developed diagnostic and therapeutic devices by using RFID chips, nano-scale or sensor-enabled radio technologies, and sensor networks would thus be useful for solving the problem of unexplored diseases in the future, as well as for controlling the quality of medicines, drugs, equipment, and physiological event monitoring systems. WSN (Wireless Sensor Networking) is preferred to be used here with the sensing devices for remote applications. Speaker(s): Prof Singh, Virtual: https://events.vtools.ieee.org/m/324476

With the rapid progress in the field of sensors and instrumentation systems, day by day, there is good technological development in the industry, engineering, medicine, and other scientific fields. However, more sophisticated sensor systems are still required to be developed for fast measurements in an intelligent manner. In the present talk, the development of new nano-ultrasonic and nano-acoustic sensor systems is described for measurements in a reliable manner for remote monitoring and control of the health of old age patients living in remote and hilly areas. Advanced acoustic/ultrasonic biomedical sensors and IoT-based systems are presented for healthcare care applications, with the main emphasis on telehealth, The newly developed diagnostic and therapeutic devices by using RFID chips, nano-scale or sensor-enabled radio technologies, and sensor networks would thus be useful for solving the problem of unexplored diseases in the future, as well as for controlling the quality of medicines, drugs, equipment, and physiological event monitoring systems. WSN (Wireless Sensor Networking) is preferred to be used here with the sensing devices for remote applications. Speaker(s): Prof Singh, Virtual: https://events.vtools.ieee.org/m/324476

With the rapid progress in the field of sensors and instrumentation systems, day by day, there is good technological development in the industry, engineering, medicine, and other scientific fields. However, more sophisticated sensor systems are still required to be developed for fast measurements in an intelligent manner. In the present talk, the development of new nano-ultrasonic and nano-acoustic sensor systems is described for measurements in a reliable manner for remote monitoring and control of the health of old age patients living in remote and hilly areas. Advanced acoustic/ultrasonic biomedical sensors and IoT-based systems are presented for healthcare care applications, with the main emphasis on telehealth, The newly developed diagnostic and therapeutic devices by using RFID chips, nano-scale or sensor-enabled radio technologies, and sensor networks would thus be useful for solving the problem of unexplored diseases in the future, as well as for controlling the quality of medicines, drugs, equipment, and physiological event monitoring systems. WSN (Wireless Sensor Networking) is preferred to be used here with the sensing devices for remote applications. Speaker(s): Prof Singh, Virtual: https://events.vtools.ieee.org/m/324476

With the rapid progress in the field of sensors and instrumentation systems, day by day, there is good technological development in the industry, engineering, medicine, and other scientific fields. However, more sophisticated sensor systems are still required to be developed for fast measurements in an intelligent manner. In the present talk, the development of new nano-ultrasonic and nano-acoustic sensor systems is described for measurements in a reliable manner for remote monitoring and control of the health of old age patients living in remote and hilly areas. Advanced acoustic/ultrasonic biomedical sensors and IoT-based systems are presented for healthcare care applications, with the main emphasis on telehealth, The newly developed diagnostic and therapeutic devices by using RFID chips, nano-scale or sensor-enabled radio technologies, and sensor networks would thus be useful for solving the problem of unexplored diseases in the future, as well as for controlling the quality of medicines, drugs, equipment, and physiological event monitoring systems. WSN (Wireless Sensor Networking) is preferred to be used here with the sensing devices for remote applications. Speaker(s): Prof Singh, Virtual: https://events.vtools.ieee.org/m/324476

When medical devices are created for use on patients, there are robust systems engineering principles that must be applied to ensure that the devices are as safe as reasonably possible. Safety risk management is a parallel and complementary process to the product development process. This talk will provide a comprehensive overview of the relationship between product development and safety risk management throughout the product development lifecycle. Speaker(s): Mark, Virtual: https://events.vtools.ieee.org/m/324477

When medical devices are created for use on patients, there are robust systems engineering principles that must be applied to ensure that the devices are as safe as reasonably possible. Safety risk management is a parallel and complementary process to the product development process. This talk will provide a comprehensive overview of the relationship between product development and safety risk management throughout the product development lifecycle. Speaker(s): Mark, Virtual: https://events.vtools.ieee.org/m/324477

When medical devices are created for use on patients, there are robust systems engineering principles that must be applied to ensure that the devices are as safe as reasonably possible. Safety risk management is a parallel and complementary process to the product development process. This talk will provide a comprehensive overview of the relationship between product development and safety risk management throughout the product development lifecycle. Speaker(s): Mark, Virtual: https://events.vtools.ieee.org/m/324477

When medical devices are created for use on patients, there are robust systems engineering principles that must be applied to ensure that the devices are as safe as reasonably possible. Safety risk management is a parallel and complementary process to the product development process. This talk will provide a comprehensive overview of the relationship between product development and safety risk management throughout the product development lifecycle. Speaker(s): Mark, Virtual: https://events.vtools.ieee.org/m/324477

When medical devices are created for use on patients, there are robust systems engineering principles that must be applied to ensure that the devices are as safe as reasonably possible. Safety risk management is a parallel and complementary process to the product development process. This talk will provide a comprehensive overview of the relationship between product development and safety risk management throughout the product development lifecycle. Speaker(s): Mark, Virtual: https://events.vtools.ieee.org/m/324477

When medical devices are created for use on patients, there are robust systems engineering principles that must be applied to ensure that the devices are as safe as reasonably possible. Safety risk management is a parallel and complementary process to the product development process. This talk will provide a comprehensive overview of the relationship between product development and safety risk management throughout the product development lifecycle. Speaker(s): Mark, Virtual: https://events.vtools.ieee.org/m/324477

When medical devices are created for use on patients, there are robust systems engineering principles that must be applied to ensure that the devices are as safe as reasonably possible. Safety risk management is a parallel and complementary process to the product development process. This talk will provide a comprehensive overview of the relationship between product development and safety risk management throughout the product development lifecycle. Speaker(s): Mark, Virtual: https://events.vtools.ieee.org/m/324477

When medical devices are created for use on patients, there are robust systems engineering principles that must be applied to ensure that the devices are as safe as reasonably possible. Safety risk management is a parallel and complementary process to the product development process. This talk will provide a comprehensive overview of the relationship between product development and safety risk management throughout the product development lifecycle. Speaker(s): Mark, Virtual: https://events.vtools.ieee.org/m/324477

When medical devices are created for use on patients, there are robust systems engineering principles that must be applied to ensure that the devices are as safe as reasonably possible. Safety risk management is a parallel and complementary process to the product development process. This talk will provide a comprehensive overview of the relationship between product development and safety risk management throughout the product development lifecycle. Speaker(s): Mark, Virtual: https://events.vtools.ieee.org/m/324477

When medical devices are created for use on patients, there are robust systems engineering principles that must be applied to ensure that the devices are as safe as reasonably possible. Safety risk management is a parallel and complementary process to the product development process. This talk will provide a comprehensive overview of the relationship between product development and safety risk management throughout the product development lifecycle. Speaker(s): Mark, Virtual: https://events.vtools.ieee.org/m/324477

When medical devices are created for use on patients, there are robust systems engineering principles that must be applied to ensure that the devices are as safe as reasonably possible. Safety risk management is a parallel and complementary process to the product development process. This talk will provide a comprehensive overview of the relationship between product development and safety risk management throughout the product development lifecycle. Speaker(s): Mark, Virtual: https://events.vtools.ieee.org/m/324477

When medical devices are created for use on patients, there are robust systems engineering principles that must be applied to ensure that the devices are as safe as reasonably possible. Safety risk management is a parallel and complementary process to the product development process. This talk will provide a comprehensive overview of the relationship between product development and safety risk management throughout the product development lifecycle. Speaker(s): Mark, Virtual: https://events.vtools.ieee.org/m/324477

Available online health monitoring systems (HMS) using mechanical signals such as vibration & temperature for commercial air-conditioning (HVAC/ACMV) systems detect some of the critical faults only at high severity levels resulting in higher operation and maintenance costs. Moreover, multiple monitoring systems are required one for each single component at the sub-system level further decreasing affordability. Our aim is to develop a unique, single hybrid scheme involving both feature extraction and classification using electrical signals-based holistic HMS for various types of critical faults of an HVAC/ACMV and its associated component. The developed approach is capable of detecting anomalies at an early stage and provides efficient condition monitoring and predictive maintenance (PdM) scheduling in advance using mostly electrical signals in a non-intrusive way. Speaker(s): Dr. Hasmat Malik, Virtual: https://events.vtools.ieee.org/m/323107

Available online health monitoring systems (HMS) using mechanical signals such as vibration & temperature for commercial air-conditioning (HVAC/ACMV) systems detect some of the critical faults only at high severity levels resulting in higher operation and maintenance costs. Moreover, multiple monitoring systems are required one for each single component at the sub-system level further decreasing affordability. Our aim is to develop a unique, single hybrid scheme involving both feature extraction and classification using electrical signals-based holistic HMS for various types of critical faults of an HVAC/ACMV and its associated component. The developed approach is capable of detecting anomalies at an early stage and provides efficient condition monitoring and predictive maintenance (PdM) scheduling in advance using mostly electrical signals in a non-intrusive way. Speaker(s): Dr. Hasmat Malik, Virtual: https://events.vtools.ieee.org/m/323107

Available online health monitoring systems (HMS) using mechanical signals such as vibration & temperature for commercial air-conditioning (HVAC/ACMV) systems detect some of the critical faults only at high severity levels resulting in higher operation and maintenance costs. Moreover, multiple monitoring systems are required one for each single component at the sub-system level further decreasing affordability. Our aim is to develop a unique, single hybrid scheme involving both feature extraction and classification using electrical signals-based holistic HMS for various types of critical faults of an HVAC/ACMV and its associated component. The developed approach is capable of detecting anomalies at an early stage and provides efficient condition monitoring and predictive maintenance (PdM) scheduling in advance using mostly electrical signals in a non-intrusive way. Speaker(s): Dr. Hasmat Malik, Virtual: https://events.vtools.ieee.org/m/323107

Available online health monitoring systems (HMS) using mechanical signals such as vibration & temperature for commercial air-conditioning (HVAC/ACMV) systems detect some of the critical faults only at high severity levels resulting in higher operation and maintenance costs. Moreover, multiple monitoring systems are required one for each single component at the sub-system level further decreasing affordability. Our aim is to develop a unique, single hybrid scheme involving both feature extraction and classification using electrical signals-based holistic HMS for various types of critical faults of an HVAC/ACMV and its associated component. The developed approach is capable of detecting anomalies at an early stage and provides efficient condition monitoring and predictive maintenance (PdM) scheduling in advance using mostly electrical signals in a non-intrusive way. Speaker(s): Dr. Hasmat Malik, Virtual: https://events.vtools.ieee.org/m/323107

Available online health monitoring systems (HMS) using mechanical signals such as vibration & temperature for commercial air-conditioning (HVAC/ACMV) systems detect some of the critical faults only at high severity levels resulting in higher operation and maintenance costs. Moreover, multiple monitoring systems are required one for each single component at the sub-system level further decreasing affordability. Our aim is to develop a unique, single hybrid scheme involving both feature extraction and classification using electrical signals-based holistic HMS for various types of critical faults of an HVAC/ACMV and its associated component. The developed approach is capable of detecting anomalies at an early stage and provides efficient condition monitoring and predictive maintenance (PdM) scheduling in advance using mostly electrical signals in a non-intrusive way. Speaker(s): Dr. Hasmat Malik, Virtual: https://events.vtools.ieee.org/m/323107

Available online health monitoring systems (HMS) using mechanical signals such as vibration & temperature for commercial air-conditioning (HVAC/ACMV) systems detect some of the critical faults only at high severity levels resulting in higher operation and maintenance costs. Moreover, multiple monitoring systems are required one for each single component at the sub-system level further decreasing affordability. Our aim is to develop a unique, single hybrid scheme involving both feature extraction and classification using electrical signals-based holistic HMS for various types of critical faults of an HVAC/ACMV and its associated component. The developed approach is capable of detecting anomalies at an early stage and provides efficient condition monitoring and predictive maintenance (PdM) scheduling in advance using mostly electrical signals in a non-intrusive way. Speaker(s): Dr. Hasmat Malik, Virtual: https://events.vtools.ieee.org/m/323107

Available online health monitoring systems (HMS) using mechanical signals such as vibration & temperature for commercial air-conditioning (HVAC/ACMV) systems detect some of the critical faults only at high severity levels resulting in higher operation and maintenance costs. Moreover, multiple monitoring systems are required one for each single component at the sub-system level further decreasing affordability. Our aim is to develop a unique, single hybrid scheme involving both feature extraction and classification using electrical signals-based holistic HMS for various types of critical faults of an HVAC/ACMV and its associated component. The developed approach is capable of detecting anomalies at an early stage and provides efficient condition monitoring and predictive maintenance (PdM) scheduling in advance using mostly electrical signals in a non-intrusive way. Speaker(s): Dr. Hasmat Malik, Virtual: https://events.vtools.ieee.org/m/323107

Available online health monitoring systems (HMS) using mechanical signals such as vibration & temperature for commercial air-conditioning (HVAC/ACMV) systems detect some of the critical faults only at high severity levels resulting in higher operation and maintenance costs. Moreover, multiple monitoring systems are required one for each single component at the sub-system level further decreasing affordability. Our aim is to develop a unique, single hybrid scheme involving both feature extraction and classification using electrical signals-based holistic HMS for various types of critical faults of an HVAC/ACMV and its associated component. The developed approach is capable of detecting anomalies at an early stage and provides efficient condition monitoring and predictive maintenance (PdM) scheduling in advance using mostly electrical signals in a non-intrusive way. Speaker(s): Dr. Hasmat Malik, Virtual: https://events.vtools.ieee.org/m/323107

Available online health monitoring systems (HMS) using mechanical signals such as vibration & temperature for commercial air-conditioning (HVAC/ACMV) systems detect some of the critical faults only at high severity levels resulting in higher operation and maintenance costs. Moreover, multiple monitoring systems are required one for each single component at the sub-system level further decreasing affordability. Our aim is to develop a unique, single hybrid scheme involving both feature extraction and classification using electrical signals-based holistic HMS for various types of critical faults of an HVAC/ACMV and its associated component. The developed approach is capable of detecting anomalies at an early stage and provides efficient condition monitoring and predictive maintenance (PdM) scheduling in advance using mostly electrical signals in a non-intrusive way. Speaker(s): Dr. Hasmat Malik, Virtual: https://events.vtools.ieee.org/m/323107

Available online health monitoring systems (HMS) using mechanical signals such as vibration & temperature for commercial air-conditioning (HVAC/ACMV) systems detect some of the critical faults only at high severity levels resulting in higher operation and maintenance costs. Moreover, multiple monitoring systems are required one for each single component at the sub-system level further decreasing affordability. Our aim is to develop a unique, single hybrid scheme involving both feature extraction and classification using electrical signals-based holistic HMS for various types of critical faults of an HVAC/ACMV and its associated component. The developed approach is capable of detecting anomalies at an early stage and provides efficient condition monitoring and predictive maintenance (PdM) scheduling in advance using mostly electrical signals in a non-intrusive way. Speaker(s): Dr. Hasmat Malik, Virtual: https://events.vtools.ieee.org/m/323107

Available online health monitoring systems (HMS) using mechanical signals such as vibration & temperature for commercial air-conditioning (HVAC/ACMV) systems detect some of the critical faults only at high severity levels resulting in higher operation and maintenance costs. Moreover, multiple monitoring systems are required one for each single component at the sub-system level further decreasing affordability. Our aim is to develop a unique, single hybrid scheme involving both feature extraction and classification using electrical signals-based holistic HMS for various types of critical faults of an HVAC/ACMV and its associated component. The developed approach is capable of detecting anomalies at an early stage and provides efficient condition monitoring and predictive maintenance (PdM) scheduling in advance using mostly electrical signals in a non-intrusive way. Speaker(s): Dr. Hasmat Malik, Virtual: https://events.vtools.ieee.org/m/323107

Available online health monitoring systems (HMS) using mechanical signals such as vibration & temperature for commercial air-conditioning (HVAC/ACMV) systems detect some of the critical faults only at high severity levels resulting in higher operation and maintenance costs. Moreover, multiple monitoring systems are required one for each single component at the sub-system level further decreasing affordability. Our aim is to develop a unique, single hybrid scheme involving both feature extraction and classification using electrical signals-based holistic HMS for various types of critical faults of an HVAC/ACMV and its associated component. The developed approach is capable of detecting anomalies at an early stage and provides efficient condition monitoring and predictive maintenance (PdM) scheduling in advance using mostly electrical signals in a non-intrusive way. Speaker(s): Dr. Hasmat Malik, Virtual: https://events.vtools.ieee.org/m/323107