AI Transformation in Analog Systems

Wednesday, September 28, 2022 | 12:00 – 1:00pm ET, RLE Room 36-462
Speaker: Wenjie Lu, Analog Devices

Join members of the MIT, MTL, and AI Hardware Program communities
for a Joint MTL/AI Hardware Program Seminar

Seminar Summary: Wenjie Lu of Analog Devices Inc., will discuss their research on “AI for hardware”. Complementing the exploding interest in the community on “hardware for AI”, “AI for hardware” refers to a data-driven approach to attack challenging problems in nonlinear systems. These types of problems require deep domain knowledge and often there are no public datasets to train models. An example is edge intelligence right next to the signal chain in a communication system.

Speaker Bio: Wenjie Lu is a Research Scientist with Analog Devices Inc., and a graduate of MIT receiving a PhD in Electrical Engineering and Computer Science, under the supervision of Prof. J. A. del Alamo. Lu’s current research interests include the design and fabrication of nano-electronic devices for future logic and analog applications. Lu has been a recipient of several awards including the prestigious 2018 Roger A. Haken Best Student Paper Award at the plenary session of the 2019 International Electron Devices Meeting (IEDM), and the 2017 Best Student Paper Award at the Compound Semiconductor Week (CSW). In addition to his PhD, Lu received an MS in Electrical Engineering and Computer Science from MIT, and two BS degrees in Electrical and Electronics Engineering and in Mathematics from the University of Wisconsin-Madison.