Jerome Quenum is an Electrical Engineering Ph.D. student at UC Berkeley. His research interests include Signal Processing, Machine Learning, and Computer Vision. He is affiliated with the Berkeley Artificial Intelligence Research (BAIR) Lab and is advised by Prof. Zakhor.
Previously, Quenum attended the University of Maryland, College Park where he was awarded the University Medal. Throughout his journey, he has participated in various academic research programs and many outreach community volunteering initiatives.
Quenum has served in automated logistics before serving currently as a signal officer in the U.S. Army. His Work is supported by the UC Berkeley Chancellor’s Fellowship and the U.S. Department of Defense’s National Defense Science and Engineering Graduate (DoD NDSEG) Fellowship.
Ph.D. in Electrical Engineering, 2024
University of California, Berkeley
B.S. in Electrical Engineering, 2019
University of Maryland, College Park
These past projects involve the design and implementation of various classification schemes
These past projects involve the design and fabrication schemes for integrated circuits (ICs)
These past projects involve the Lagrangian approach of the rain drop problem and the design of cellular remote control system.
Please, email the contact above for an updated copy of Quenum’s CV.