Hossein Valavi is a lecturer in the Department of Electrical and Computer Engineering at Princeton University with a research focus on the intersection of machine learning and efficient hardware design. He received a Ph.D. in Electrical and Computer Engineering from Princeton University in 2020, where he worked on building the next-generation of AI chips that use in-memory computing to implement deep learning algorithms.
List of Courses Taught at Princeton University:
ECE 562 / 462: Design of Very Large-Scale Integrated (VLSI) Systems,
Fall 2022, Spring 2024
ECE 535 / 435: Machine Learning and Pattern Recognition,
Fall 2024 (co-taught with Prof. Ramadge), Fall 2023 (co-taught with Prof. Wang)
ECE 497: Senior Independent Work
Fall & Spring 2024, Fall & Spring 2023
ECE 397: Junior Independent Work
Spring 2023
ECE 302: Robotic and Autonomous Systems Lab,
Fall 2024, Fall 2023, Spring 2023, Spring 2022, Fall 2021, Spring 2021
Co-taught with Professor Stephen Lyon and Andrew Houck
ECE 206: Contemporary Logic Design,
Fall 2024, Fall 2023, Fall 2022, Fall 2021
Co-taught with Professor Sharad Malik
ECE 203: Electronic Circuit Design, Analysis and Implementation,
Spring 2024, Spring 2023, Spring 2022, Spring 2021
ECE 115: Introduction to Computing: Programming Autonomous Vehicles,
Fall 2024, Fall 2023, Fall 2022, Fall 2021
EGR 153: Foundations of Engineering: Electricity, Magnetism, and Photonics
Spring 2024, Spring 2023, Spring 2022, Spring 2021
Co-taught with Professor James Sturm & Professor Claire Gmachl