Ongoing

LSS LMAG Officers Planning Meeting

Room 101 NW 39th St, San Antonio

Planning for future meetings. Agenda: 11:30 Start Meeting 12:00 Lunch 1:30 end of meeting Room: Open Seating Area, Bldg: Ernesto's, San Antonio, Texas, United States

IEEE LSS EMB Workshop on AI and Healthcare

STAR One Conference Center, 3055 Hunter Road, San Marcos, Texas, United States, 78666

IEEE Lone Star Section EMBS Chapter and the Life Members Affinity Group will host a daylong workshop on AI and Healthcare. Event will be held in conjunction with the Computer Sciences Department's Research Day and Poster Presentations. The website for the event is as follows: https://r5.ieee.org/lss-embs/workshop/ The purpose of the workshop is to assemble engineers and scientists with an interest in Artificial Intelligence (AI) as applied to the field of healthcare. The workshop is expected to also expand interest in EMB activities across several technical chapters, affinity groups and Section members. Additionally, the event will focus on expanding interest in EMB for students and faculty at the many academic institutions within the Lone Star Section. In addition the event will include Texas State University in San Marcos (Central Texas Section), with emphasis on its very active IEEE faculty and student branch. The workshop will featuring a Keynote, Panel Discussion, and Poster session at the (https://www.txst.edu/starpark/conference-center.html) Conference facility in San Marcos, Texas on December 6, 2024. (Room 173 and 174) Students: Please submit a title and abstracts (less than 500 words) to https://forms.gle/NaLgLeW8aypNwFqz8 by 30 November 2024. The best 5 posters abstracts will be published in IEEE Pulse Magazine. Speaker(s): Dr. Stephen T.C. Wong Agenda: Schedule 8:30 AM: Registration and breakfast 9:00-9:15 AM: Introduction and Welcome by TXST 9:15-10:15 AM: Keynote 10:15-11:15 AM: Panel Discussion – Ethics in AI - Dr. Jose Salinas, Research Scientist, U.S. Army Institute of Surgical Research - Hakima Ibaroudene, Research and Development Manager, Southwest Research Institute - Brett Bowman, Research Physicist, Air Force Research Laboratory - Dr. Robert Teague, Chief Medical Officer, Green Room Technologies 11:15-11:45 PM: IEEE Lone Star Section Presentation – Dr. Walt Downing, Section Chairman 11:45-12:45 PM: Lunch (BBQ) 12:45-2:15 PM: Poster presentations 2:15 PM: Wrap up and closing remarks 2:30 PM: Workshop Adjourn STAR One Conference Center, 3055 Hunter Road, San Marcos, Texas, United States, 78666

From Intelligent Surfaces to Noise-Driven Communication: Innovative Technologies for 6G and Beyond

Virtual: https://events.vtools.ieee.org/m/443554

From Intelligent Surfaces to Noise-Driven Communication: Innovative Technologies for 6G and Beyond Prof. Ertuğrul Başar Koç University, Turkey – [email protected] When: December 6th 2024, 11H00 AM Quebec-Canada Local Time Where: ONLINE VIA ZOOM: https://uqtr.zoom.us/j/81521084215?pwd=bchQDndZg7DTlpVuaeag6bhGwaOvn9.1 Meeting ID : 815 2108 4215 Password : 018477 Abstract - Our community has witnessed the rise of many exciting communication technologies in recent years. Notable examples include alternative waveforms, massive multiple-input multiple-output signaling, non-orthogonal multiple access, joint communications and sensing, AI-empowered systems, and so on. In this context, 6G wireless networks will inevitably require a rethinking of wireless communication systems and technologies, particularly at the physical layer, since the cellular industry reached another critical milestone with the development of 5G wireless networks with diverse applications. Within this perspective, first, this talk aims to shed light on the most recent developments in reconfigurable intelligent surface (RIS)-empowered communication towards 6G and beyond wireless networks by discussing promising candidates for future research and development. Specifically, we emphasize different RIS architectures and emerging RIS use cases. Second, taking RIS-based radio frequency chain-free transmitters one step further, we put forward the paradigm of noise-driven communication. We discuss the potential of noise-driven communication systems for three purposes: low/zero-signal-power transmission by indexing resistors or other noise sources according to information bits, noise-alike waveform/modulation design for improved communication efficiency, and unconditionally secure key generation using noise-based loops. Biography - [] Prof. Ertuğrul Başar received his Ph.D. degree from Istanbul Technical University in 2013. He is a Professor at the Department of Electrical and Electronics Engineering, Koç University, Istanbul, Turkey, and the director of the Communications Research and Innovation Laboratory (CoreLab). He had visiting positions at Ruhr University Bochum, Germany (2022, Mercator Fellow) and Princeton University, USA (2011-2012, Visiting Research Collaborator). His primary research interests include 6G and beyond wireless networks, communication theory and systems, reconfigurable intelligent surfaces, software-defined radio implementations, waveform design, physical layer security, and deep learning and signal processing for communications. In the past, Dr. Başar served as an Editor/Senior Editor for many journals, including IEEE Communications Letters (2016-2022), IEEE Transactions on Communications (2018-2022), Physical Communication (2017-2020), and IEEE Access (2016-2018). Currently, he is an Editor of Frontiers in Communications and Networks. He is the author/co-author of more than 170 international journal publications and 16 patents that received around 15K citations. He also supervised 5 PhD and 18 master’s students. He is an Associate Member of the Turkish Academy of Sciences (TÜBA). In recognition of his outstanding contributions to physical-layer design for next-generation wireless networks, Prof. Basar was elevated to IEEE Fellow in 2023, becoming one of the youngest IEEE Fellows of Turkey at the age of 37. He is also a Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA) and the Artificial Intelligence Industry Academy (AIIA). Recently, Dr. Basar has been selected as an IEEE ComSoc Distinguished Lecturer for the Class of 2024-2025. Speaker(s): Prof. Başar, Virtual: https://events.vtools.ieee.org/m/443554