IEEE Region 5

Region 5 is hosting an event on Monday, October 28 at 6:30 pm Mountain Time/7:30 pm Central Time. This event will focus on sections in R5 West Area including Denver, El Paso, High Plains, Panhandle, Pikes Peak, and South Plains. Each section will present for less than 10 minutes on activities, best practices, resources, and seeking any resources to assist future activities. Topics can include section info, YP, LMAG, and other affiliates. Virtual: https://events.vtools.ieee.org/m/440362

This discussion will focus on major issues addressed in several of the IEEE 1547 series of standards that have been updated in the last few years. We will also discuss ongoing efforts currently taking place to update these standards further. Room: 2500, 777 Main Street, Fort Worth, Texas, United States, 76102

IEEE unt executives with the HKN Lamba Zeta executives weekly planning meeting. Discovery park, denton, Texas, United States

On behalf of TAMUSA and the CEMS Department, we’d like to express our sincere gratitude for your hard work and dedication this past year. Your contributions to the IEEE TAMUSA community have been invaluable. As a token of our appreciation, we invite you to join us for a student and faculty appreciation dinner! It will be a great opportunity to relax, enjoy a delicious meal, and connect with your colleagues and faculty. Co-sponsored by: TAMUSA Agenda: Appreciation Dinner for TAMUSA Student and Faculty, sponsored by the CEMS Department Bldg: Near Campus Restaurant, 1University Way, San Antonio, Texas, United States, 78224

Khandakar Nusrat Islam will conduct a deep dive on her experience as an RF/Microwave Solutions Engineer at Keysight Technologies, where she excels in both engineering and project management. Specializing in RF solutions architecture and project oversight, Nusrat is instrumental in developing custom global solution delivery next-generation solutions at Keysight Technologies. Dr. Islam's career in technology is crucial for driving innovation and addressing pressing global challenges. Her work in developing cutting-edge solutions at Keysight Technologies not only advances engineering practices but also enhances connectivity and improves quality of life. By driving technological progress, she contributes to transformative breakthroughs that benefit industries and communities worldwide. Co-sponsored by: Martha Dodge Speaker(s): Khandakar Nusrat Islam, PhD Virtual: https://events.vtools.ieee.org/m/434310

This registration is to only be used for retroactive payment for corporate registration for IEEE PES/IAS Kansas City Chapter technical seminar sessions held on 4/2/2024, 4/9/2024, 4/16/2024, and 4/30/2024. Virtual: https://events.vtools.ieee.org/m/436943

Please join us at UCCS For Our 2nd Electronic Devices/Circuits & Systems Meeting of 2024. Hear information on the latest storage developments from the UCCS Microelectronics Labs and enjoy lunch provided by the Pikes Peak Section. A New Nonvolatile Switch for the Age of AI Prof. Carlos Araujo, Distinguished Professor, IEEE Fellow University of Colorado-Colorado Springs ECE Department Memory and artificial synapses are the two areas that require major innovation for the next generation of AI engines. Today’s memory of choice for the highest performance AI systems in High Bandwidth Memory (HBM) providing incredible bandwidth in a small space. A Micron HBM3E has an energy efficiency quoted at 1E-12 J per switching operation. While good, there is much concern about the energy consumption of AI data centers, some which may require a nuclear power plant to supply their energy. In this lecture, I describe a non-volatile switch that has been made at UCCS and IMEC using the Mott Quantum Switch (MQS) at 45 nm design rules with energy performance of 1E-18 J. It has the potential to scale to the most advanced feature size using nanosheets made using common gate oxide Hafnium Oxide (HfO2) with doping with Carbon. These fast switches have excellent nonvolatile properties from 2 degrees Kelvin to 200 degrees C with less than 2 ns switching times and require only 3-4 mask steps. This makes them ideal for low power nonvolatile storage in future AI systems. For synapses used in neural nets, these switches have programmable levels of resistivity in a deterministic way for programmable neuron weights. Speaker(s): Carlos Araujo, Room: Tom Saponas Lounge, Bldg: Engineering Building, 2nd Floor, 1420 Austin Bluffs Parkway, Colorado Springs, Colorado, United States, 80918

RICE Center Engineering Leadership Information & Networking Event In the digital revolution, all companies are or must become technology companies. And technology companies must hire and produce Industry 4.0 engineering manager leaders, if they are to modernize their engineering workforce and produce the best products and services. The Master of Engineering Management & Leadership (MEML) degree and the new graduate Certificate in Engineering Management & Leadership (CEML) program was designed to help traditional engineers pivot into the new generation of digital transformation technical leaders. The series exposes engineers and scientists to selected skills and concepts presented in the MEML degree and the CEML program. The Rice Center for Engineering Leadership (RCEL) is hosting this information session and networking mixer at the Ion for its corporate partners and affiliated professional organizations as well as affinity groups. There will be a brief presentation highlighting RCEL’s different programs and the opportunity to meet with RCEL faculty to answer questions about the programs. This networking mixer will also be a great way to connect with other Science, Technology, Engineering, and Mathematics (STEM) professionals within the Ion District’s Innovation Ecosystem. Register to attend and come enjoy refreshments while gaining enlightenment and meeting professionals! Leading Engineering and Technology Innovation in the Digital Revolution Series This seminar is part of the continuing series from Rice University Leading Engineering and Technology Innovation in the Digital Revolution. Two additional seminars and a networking event are planned for Fall 2024. The series is designed to expose engineers at corporations and scaling startups to skills needed to lead engineering without leaving engineering. It is brought to you by Rice University’s engineering faculty in collaboration with Ion. Rice faculty will provide introductions to concepts to help engineers take leadership roles in producing the best products and services for the market. Co-sponsored by: NSBE Houston Professionals Speaker(s): Dr Joshua Gray, Dr Claudia Zettner, Dr Uyiosa Abusomwan Bldg: Ion - Classroom 031, 4201 Main Street, Houston, Texas, United States, 77002

Techniques for Developing an Adversarial Mindset in Computing: Learn how to cultivate and apply an adversarial mindset when programming or developing software through engaging games and activities. (Bring your own laptop) Co-sponsored by: Christian Servin Speaker(s): Christian Servin, Agenda: TBD by presenter Room: 307, Bldg: AST, El Paso Community College (EPCC) , 919 Hunter Dr., El Paso, Texas, United States, 79915

Efficient Computing for AI and Robotics: From Hardware Accelerators to Algorithm Design The compute demands of AI and robotics continue to rise due to the rapidly growing volume of data to be processed; the increasingly complex algorithms for higher quality of results; and the demands for energy efficiency and real-time performance. In this talk, we will discuss the design of efficient tailored hardware accelerators and the co-design of algorithms and hardware that reduce the energy consumption while delivering swift real-time and robust performance for applications including deep neural networks, data analytics with sparse tensor algebra, and autonomous navigation. Throughout the talk, we will highlight important design principles, methodologies, and tools that can facilitate an effective design process and various forms of co-design that can broaden the design space. Vivienne Sze is a Professor in the Electrical Engineering and Computer Science Department at MIT. She works on computing systems that enable energy-efficient machine learning, computer vision, and video compression/processing for a wide range of applications, including autonomous navigation, digital health, and the internet of things. Her work has been recognized by various awards, including faculty awards from Google, Facebook, and Qualcomm, the Symposium on VLSI Circuits Best Student Paper Award, the IEEE Custom Integrated Circuits Conference Outstanding Invited Paper Award, the IEEE Micro Top Picks Award and the International Symposium on Performance Analysis of Systems and Software Best Paper Award. As a member of the Joint Collaborative Team on Video Coding, she received the Primetime Engineering Emmy Award for the development of the High-Efficiency Video Coding video compression standard. She is a co-editor of High Efficiency Video Coding (HEVC): Algorithms and Architectures (Springer, 2014) and co-author of Efficient Processing of Deep Neural Networks (Synthesis Lectures on Computer Architecture, Morgan Claypool, 2020). For more information about Prof. Sze’s research, please visit (http://sze.mit.edu/). Co-sponsored by: University of Texas at Austin Speaker(s): Vivienne Sze, Room: 1.518, Bldg: EER, 2501 Speedway Dr. , Austin, Texas, United States, 78712 , Virtual: https://events.vtools.ieee.org/m/440366

A presentation over the real-world importance of understanding your pproducts. Room: PCTR 2010, Bldg: efactory, 405 N. Jefferson Ave., Springfield, Missouri, United States, 65806

The main goal of these joint workshops is to initiate and exchange interaction, exchange ideas, and foster potential collaborations between researchers, educators, and students in the region. This event is a unique opportunity to connect with fellow scholars, explore presentation, posters, and engage with current research trends in computing and related fields. It also offers a platform for students to gain exposure to ongoing research and expand their academic and professional horizons. Co-sponsored by: Christian Servin Agenda: https://www.cs.utep.edu/vladik/utepnmsu24.html Room: CCSB G.0208, Bldg: Chemestry and Computer Science Builiding, University of Texas at El Paso, 1801-2021 Hawthorne St, El Paso, Texas, United States, 79902