Farhana

System adaptivity has been studied since the mid-60s and recently there has been a surge in interest in self-adaptive systems, especially in the software engineering community, with its main application is cybernetics. This talk introduces the concept of a self-adaptive system as it is extended to wireless communication, where channel characteristics are exploited to intelligently modify operation of the physical layer of the radio to optimize energy consumption and connectivity. The architectural and circuit foundations required to realize a wide-band “learning-based” transceiver architecture are detailed in the design and implementation of configurable PHY subsystems that can be dynamically programmed to realize intelligent radios. Current advancements in the application of AI/ML to wireless systems and how these may be leveraged at the PHY level are briefly discussed followed by an overview of future research required to build intelligently adaptive radio systems.

Biography:

Dr. Farhana Sheikh is a Principal Engineer at Intel’s Programmable Solutions Group.  She has over 15 years of experience in ASIC and DSP/communications research including adaptive DSP, crypto, graphics, quantum wireless control, and 5G+ wireless. Since joining PSG, after 10+ years in Intel Labs, Farhana’s research focuses on 2D and 3D chiplet + FPGA integration research, with a focus on 3D heterogeneous integration for next generation wireless and sensing applications. Farhana has published over 50 papers and filed 22 patents, has initiated the AIB-3D open-source specification for 3D chiplet heterogeneous integration.  Farhana was instrumental in enabling Intel 16 for Intel’s IDM2.0 and is the co-creator of Intel’s University Shuttle Program.  Outside of Intel she volunteers for IEEE Solid-State Circuits Society (SSCS) and is the SSCS Women in Circuits Committee Chair.  Farhana is a co-recipient of 2020, 2019, and 2012 IEEE ISSCC Outstanding Paper Awards. In 2021, Farhana was recognized for her mentorship work with students and faculty by the Semiconductor Research Corporation (SRC) that awarded her the 2021 Mahboob Khan Outstanding Industry Liaison Award. She is IEEE SSCS Member-at-Large for 2022-2024, and IEEE SSCS Distinguished Lecturer for 2023 and 2024.