Professor Directory

This is a list of professors believed to be working in AI-related fields. It may be out of date. If you spot errors, please use the Contact page.

Adam R. Klivans

Computer Science (UT Austin)

Topics: machine learning, learning theory, theoretical computer science, foundations of AI

Lab Page Google Scholar klivans@cs.utexas.edu

Director-level ML/foundations leadership; strong fit for theory-oriented students.

Alex Dimakis

Electrical & Computer Engineering (UT Austin)

Topics: machine learning, information theory, distributed learning, foundations of AI

Lab Page Google Scholar dimakis@austin.utexas.edu

IFML leadership; strong for theoretical/foundational ML.

Amy Zhang

Electrical & Computer Engineering (UT Austin)

Topics: reinforcement learning, robot learning, generalization, sample efficiency, machine learning

Lab Page Google Scholar

Good fit for RL-focused students.

Chandrajit L. Bajaj

Computer Science / Oden Institute / TACC (UT Austin)

Topics: machine learning, visualization, scientific computing, computational AI

Lab Page Google Scholar

AI-adjacent with strong computational/scientific ML alignment.

Haris Vikalo

Electrical & Computer Engineering (UT Austin)

Topics: machine learning, optimization, signal processing, inference

Lab Page Google Scholar hvikalo@ece.utexas.edu

Good fit for applied ML + optimization collaborations.

Joydeep Biswas

Computer Science (UT Austin)

Topics: robotics, artificial intelligence, autonomous systems, machine perception, planning

Lab Page Google Scholar joydeepb@cs.utexas.edu

Good fit for autonomy and service robotics work.

Justin W. Hart

Computer Science (UT Austin)

Topics: artificial intelligence, robotics, human-robot interaction, semantic mapping

Lab Page Google Scholar hart@cs.utexas.edu

Teaching/practice-focused robotics/AI contact for applied student projects.

Kristen L. Grauman

Computer Science (UT Austin)

Topics: artificial intelligence, computer vision, machine learning, multimodal perception, egocentric vision

Lab Page Google Scholar grauman@cs.utexas.edu

Excellent for CV/perception/vision projects.

Matthew A. Lease

School of Information (UT Austin)

Topics: responsible AI, human-in-the-loop AI, nlp, information retrieval, disinformation

Lab Page Google Scholar ml@utexas.edu

Strong for human-centered and responsible AI projects.

Peter H. Stone

Computer Science (UT Austin)

Topics: artificial intelligence, robotics, multi-agent systems, reinforcement learning, machine learning

Lab Page Google Scholar pstone@cs.utexas.edu

Department chair and major AI faculty; strong fit for multi-agent/robotics interests.

Qiang Liu

Computer Science (UT Austin)

Topics: machine learning, probabilistic inference, bayesian methods, artificial intelligence

Lab Page Google Scholar qiangliu@cs.utexas.edu

Great fit for probabilistic ML and theoretical-practical ML crossover.

Raymond J. Mooney

Computer Science (UT Austin)

Topics: artificial intelligence, machine learning, natural language processing, computational biology

Lab Page Google Scholar mooney@cs.utexas.edu

Strong NLP/ML alignment for students seeking language-focused research.

Risto P. Miikkulainen

Computer Science (UT Austin)

Topics: artificial intelligence, neural networks, machine learning, neuroevolution, nlp, vision

Lab Page Google Scholar risto@cs.utexas.edu

Broad AI coverage and long-running ML research track.

Scott Niekum

Computer Science (UT Austin)

Topics: robot learning, human-robot interaction, reinforcement learning, artificial intelligence

Lab Page Google Scholar sniekum@cs.utexas.edu

Strong match for HRI and interactive robot learning.

Stella S. Offner

Astronomy (UT Austin)

Topics: machine learning, artificial intelligence, computational astrophysics, applied AI

Lab Page Google Scholar soffner@astro.as.utexas.edu

AI-adjacent application area (astro + ML); useful for interdisciplinary projects.

Suzanne Barber

Electrical & Computer Engineering (UT Austin)

Topics: distributed AI, multi-agent systems, software engineering for AI, trustworthy systems

Lab Page Google Scholar sbarber@identity.utexas.edu

AI systems and trust/security crossover.

Swarat Chaudhuri

Computer Science (UT Austin)

Topics: artificial intelligence, trustworthy ML, formal methods, program synthesis, safe autonomy

Lab Page Google Scholar swarat@cs.utexas.edu

Strong fit for safe/verified AI topics.

Ufuk Topcu

Aerospace Engineering & Engineering Mechanics (UT Austin)

Topics: autonomous systems, safe AI, control + learning, robotics, formal methods

Lab Page Google Scholar

Strong fit for safe/autonomous systems research.

Yuke Zhu

Computer Science (UT Austin)

Topics: artificial intelligence, robot learning, computer vision, machine learning, interactive perception

Lab Page Google Scholar yukez@cs.utexas.edu

Excellent fit for embodied AI and robot learning.

Zhangyang (Atlas) Wang

Electrical & Computer Engineering (UT Austin)

Topics: machine learning, computer vision, efficient AI, robustness, deep learning

Lab Page Google Scholar atlaswang@utexas.edu

Major ECE AI/ML faculty; good fit for modern deep learning topics.