Vahid Tarokh

NAE Member

Electrical and Computer Engineering

Rhodes Family Distinguished Professor of Electrical and Computer Engineering

Vahid Tarokh Profile Photo

Research Themes

Applications, Artificial Intelligence & Machine Learning, Theory

Research Interests

Foundations of AI, Foundations of Signal Processing, Learning Representations, Transfer Learning, Meta-Learning, Physics Infused Learning, Extreme Value Theory, Dependence Modeling, Hypothesis Testing, Sequential Analysis.

Bio

Vahid Tarokh’s research is in pursuing new formulations and approaches to getting the most out of datasets.

Positions

Rhodes Family Distinguished Professor of Electrical and Computer Engineering
Professor of Electrical and Computer Engineering

Awards, Honors, and Distinctions

Member. National Academy of Engineering. 2019

Courses Taught

MATH 493: Research Independent Study
ECE 899: Special Readings in Electrical Engineering
ECE 891: Internship
ECE 689: Advanced Topics in Deep Learning
ECE 685D: Introduction to Deep Learning
ECE 590: Advanced Topics in Electrical and Computer Engineering
ECE 493: Projects in Electrical and Computer Engineering
COMPSCI 676: Advanced Topics in Deep Learning
COMPSCI 675D: Introduction to Deep Learning
COMPSCI 590: Advanced Topics in Computer Science