|
|
Personal bio
Mert Pilanci is an assistant professor of Electrical Engineering at Stanford University. He received his Ph.D. in Electrical Engineering and Computer Science from UC Berkeley in 2016. Prior to joining Stanford, he was an assistant professor of Electrical Engineering and Computer Science at the University of Michigan. In 2017, he was a Math+X postdoctoral fellow working with Emmanuel Candes at Stanford University. His research interests are in large scale machine learning, optimization, and information theory.
Currently teaching
EE 301: Introductory Research Seminar in Electrical Engineering
(Autumn)
EE 269: Signal Processing and Quantization for Machine Learning
(Winter)
CME 364B: Convex Optimization II
(Spring)
EE 364B: Convex Optimization II
(Spring)
EE 300: Master's Thesis and Thesis Research
(Autumn, Winter, Spring, Summer)
CME 390: Curricular Practical Training
(Autumn, Winter, Spring, Summer)
APPPHYS 290: Directed Studies in Applied Physics
(Autumn, Winter, Spring, Summer)
CME 391: Ph.D. Research Rotation
(Winter)
EE 391: Special Studies and Reports in Electrical Engineering
(Autumn, Winter, Spring, Summer)
EE 400: Thesis and Thesis Research
(Autumn, Winter, Spring, Summer)
CME 400: Ph.D. Research
(Autumn, Winter, Spring, Summer)
EE 390: Special Studies or Projects in Electrical Engineering
(Autumn, Winter, Spring, Summer)
|
Manage my profile