Artificial Intelligence and Machine Learning
Artificial intelligence (AI) is a broad and interdisciplinary field of computer science that deals with creating machines that can perform tasks that typically require human intelligence, such as perception, reasoning, learning, and problem-solving. Faculty and students in this area explore a diverse range of topics, including:
- Classifiers and statistical learning methods
- Convex and nonconvex optimization
- Deep learning
- Evolutionary algorithms
- Explainable AI
- Knowledge representation
- Perception
- Search and optimization
Core Faculty

Xiaojun Bi

Paola Cascante-Bonilla

Tuhin Chakrabarty

Akshat Dave

Paul Fodor

Arie Kaufman

Klaus Mueller

Amir Rahmati

Dimitris Samaras

I.V. Ramakrishnan

Michael Ryoo

Yifan Sun

Ting Wang

Zhaozheng Yin
Affiliated Faculty
Niranjan Balasubramanian
Nilanjan Chakraborty
Chao Chen
Yi Liu
Prateek Prasanna
Chenyu (Charles) You
Rong Zhao
Affiliated Faculty

Niranjan Balasubramanian

Nilanjan Chakraborty

Chao Chen

Yi Liu

Prateek Prasanna

Chenyu (Charles) You

Rong Zhao