Please join the webinar by Prof. Nicole McFarlane. Title: Technologies for Biosensing Applications Abstract: Wearable and portable health sensor systems have been widely sought as a means to provide long term minimally invasive, portable, and low cost sensing solutions. These systems have applications in both assessing human health and in identifying threats present in the environment. Key challenges in developing these types of systems include sensor metrics such as sensitivity and specificity to an analyte along with sensor robustness and ease of fabrication. In addition, size, weight, power, and cost can impede adoption of any technology particularly when implemented in low resource environments. In this presentation we will discuss our efforts to develop multimodal sensors that take advantage of commercial foundry capabilities, mixed signal design approaches, and novel devices (biological and non-biological) to address these criteria. Specifically, we explore low power sensors based on electrochemical, impedance, temperature, pH, and light measurements integrated with secure hardware encryption, power management, wireless transmission, and microprocessors for signal processing. Bio: Nicole McFarlane is currently an Associate Professor in Electrical Engineering & Computer Science and currently serves as the TCE Advance Professor (2020, 2021, 2022 academic years) at the University of Tennessee. She earned her undergraduate and Master’s degree at Howard University and her PhD from the University of Maryland, College Park. She runs the Microbioelectronics lab at UTK where she combines advanced microfabrication techniques with CMOS readout to enable the development of low cost sensing systems. The core topics of her research are developing electrochemical sensing systems, new electrodes for cell based sensing, CMOS based neutron detection, lab-on-chip cell based sensing, multi-modal sensing, energy and power tradeoffs, and hardware and biosensor security. She has served on various conference organizing committees, is a member of the Circuits and Systems Biomedical and Life Science Circuits and Systems and the Sensory Systems Technical Committees, is an Associate Editor for IEEE TBioCAS and Associate Editor in Chief for Digital Communications for IEEE OJCAS, and is currently in the 2nd year of her second term on the IEEE CASS Board of Governors. Ways to join: Join from the webinar link https://ieeemeetings.webex.com/ieeemeetings/j.php?MTID=m685d42f4d3263a6fa116f44272a77f39 Join by the webinar number Webinar number (access code): 2530 137 8965 Webinar password: u7Ui8ubJRz9 (87848825 from phones) Tap to join from a mobile device (attendees only) (tel:%2B1-415-655-0002,,*01*25301378965%2387848825%23*01*) United States Toll (tel:1-855-282-6330,,*01*25301378965%2387848825%23*01*) United States Toll Free Some mobile devices may ask attendees to enter a numeric password. For any questions please contact: kolivera@ieee.org. Agenda: Agenda: - Presentation: 45-50 min - Q&A: 15-10 min Oak Ridge , Tennessee, United States

Please join the webinar by Dr. Neena Imam. Title: Accelerated Computing and AI Hardware Abstract: One of the technological drivers that are changing the nature of today’s computing ecosystem is the plateauing of Moore’s law. CPU performance has plateued due to a variety of factors, including challenges with power and frequency management. New strategies, such as accelerated computing, are needed to meet our computing demands . In accelerated computing, an accelerator hardware, such as a GPU or FPGA, is used to speed up parts of the computation. The second technological driver is the explosion of big data. 90% of world’s data was created in last 2 years – now reaching an incredible 175 Zettabytes. Analyzing this data requires AI models that continue to grow in complexity. For state-of-the-art AI, we have seen the size of the models grow by 3 orders of magnitude in last 3 years. The concurrent plateauing of CPU performance, the world’s demand for more computing power, and the emergence of AI made it necessary to develop accelerated hardware, or AI chips. There is a large ecosystem of AI hardware. In this talk, we will discuss these special purpose hardware and applications. Bio: Neena Imam recently joined NVIDIA as the Director of Strategic Researcher Engagement. Before NVIDIA, Neena served as the Deputy Director of Research Collaboration in the Computing and Computational Sciences Directorate (CCSD) at Oak Ridge National Laboratory (ORNL), performing research in extreme-scale computing. Neena holds a Doctoral degree in Electrical Engineering from Georgia Institute of Technology, with Master's and Bachelor's degrees in the same field from Case Western Reserve University and California Institute of Technology, respectively. Neena also served as the Science and Technology Fellow for Senator Lamar Alexander in Washington D.C. (2010-2012) and is a senior member of IEEE. Ways to join: Webex (try this method first): Join from the webinar link https://ieeemeetings.webex.com/ieeemeetings/j.php?MTID=mfda0673306d441b603805ce0168596e6 Join by the Meeting number Meeting number (access code): 2536 624 3038 Meeting password: FkZpuPkn573 (87848825 from phones) Tap to join from a mobile device (attendees only) +1-415-655-0002,,25366243038## United States Toll 1-855-282-6330,,25366243038## United States Toll Free Join by phone +1-415-655-0002 United States Toll 1-855-282-6330 United States Toll Free Google Meet (if technical difficulties with Webex): meet.google.com/dqy-qebw-ixn Dial-in: (US) +1 650-667-3720 PIN: 797 946 048# For any questions please contact: kolivera@ieee.org. Agenda: Agenda: - Presentation: 45-50 min - Q&A: 15-10 min Oak Ridge, Tennessee, United States