Vahid Tarokh
NAE MemberElectrical and Computer Engineering
Rhodes Family Distinguished Professor of Electrical and Computer Engineering
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