Vahid Tarokh

NAE Member

Electrical and Computer Engineering

Rhodes Family Distinguished Professor of Electrical and Computer Engineering

Vahid Tarokh Profile Photo
Vahid Tarokh Profile Photo

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

  • COMPSCI 590: Advanced Topics in Computer Science
  • COMPSCI 675D: Introduction to Deep Learning
  • ECE 392: Projects in Electrical and Computer Engineering
  • ECE 493: Projects in Electrical and Computer Engineering
  • ECE 494: Projects in Electrical and Computer Engineering
  • ECE 590: Advanced Topics in Electrical and Computer Engineering
  • ECE 685D: Introduction to Deep Learning
  • ECE 891: Internship
  • ECE 899: Special Readings in Electrical Engineering
  • MATH 493: Research Independent Study