IEEE Kharagpur Section

Event Title: Low Power Smart Electronics for IoT and Similar Applications Date: April 2nd, 2025 Time: 7 P.M. - 8.30 P.M. (IST) Platform: Google Meet Speaker: Dr. Sreelal S Pillai, Senior Scientist & Avionics Engineer, ISRO Organized by: IEEE HIT SB Initiative: IEEE Virtual Speakers Bureau Event Overview IEEE HIT SB is excited to announce an upcoming virtual talk session as part of the IEEE Virtual Speakers Bureau, scheduled for April 2nd, 2025, at 7 P.M. (IST) via Google Meet. The session will feature Dr. Sreelal S Pillai, a Senior Scientist and Avionics Engineer at ISRO, who has over 33 years of experience in the field. Dr. Pillai also serves as the Chair of IEEE Circuits and Systems Society and IEEE Aerospace and Electronic Systems Society, Kerala Chapter. This session aims to provide attendees with insights into low-power smart electronics, IoT innovations, and next-generation embedded systems. What to Expect - Learn about low-power electronics for IoT applications and advancements in power optimization, circuit design, and real-world implementations. - Gain insights into cutting-edge embedded system designs that are shaping the future of smart and efficient IoT solutions. - Participate in an interactive Q&A session with Dr. Pillai, where attendees can seek expert guidance on challenges and opportunities in low-power embedded systems and AI-driven IoT. Registration & Participation This event is open to students, researchers, and professionals interested in IoT, electronics, and embedded systems. Attendees will have the opportunity to engage with an industry expert and gain valuable insights into the latest trends and technologies. Register now: https://forms.gle/yXF53CZAcwUUaPHx5 Join the session here: https://meet.google.com/iws-qxvv-ftg Conclusion IEEE HIT SB is honored to host this insightful session and looks forward to welcoming all participants. This event is designed to bridge the gap between theoretical learning and practical implementation in IoT and embedded systems. Speaker(s): , Dr. Sreelal S Pillai Virtual: https://events.vtools.ieee.org/m/477508

Brain stimulation shows significant potential in treating neurological disorders, but the challenge lies in personalizing these therapies effectively. Traditionally, identifying the optimal stimulation parameters, such as amplitude, frequency, and pulse width, requires extensive trial-and-error testing, which is both time-consuming and costly. To streamline this process, we developed an active learning framework that efficiently identifies the most effective relationships between stimulation parameters and brain responses, reducing the need for numerous experiments. We conducted three types of validation for our framework: in silico experiments using synthetic data from a Parkinson’s disease model, in silico tests with real data from a non-human primate model, and in vivo tests through real-time optogenetic stimulation in rats. In each scenario, our active learning models demonstrated superior performance over traditional random sampling methods, achieving significantly lower errors in predicting brain responses. This innovative approach enhances the efficiency and efficacy of research and clinical applications in brain stimulation, offering a more cost-effective pathway to developing personalized therapies for neurological disorders. Speaker(s): Dr Mohammed Sendi Virtual: https://events.vtools.ieee.org/m/480226