Research in artificial intelligence (AI), which includes machine learning (ML), computer vision (CV), and natural language processing (NLP), aims to develop and analyze computational approaches to automated reasoning in the presence of uncertainties. Such systems grounded in using insights from data will ultimately enhance human decision making capabilities in complex tasks, through the ability to process large amounts of data efficiently. In some cases this type of decision making can even reliably replace human decision making entirely.
Within the Department of Computer Science our AI/ML research interests span multiple areas: Foundational methods in ML and probabilistic methods (Kwang-Sung Jun, Jason Pacheco, Chicheng Zhang); Natural language processing (Mihai Surdeanu / CLU lab); Inferring statistical models from data with applications in computer vision and scientific data (Kobus Barnard / IVILAB).
Our group is highly collaborative, both within CS and across the university. The vibrant NSF-funded program for Transdisciplinary Research in Principles of Data Science (TRIPODS) fosters collaboration between Mathematics, Statistics and Computer Science. Large-scale collaborative projects are common, such as the recent DARPA-funded efforts for Theory of Mind-based Cognitive Architecture for Teams (ToMCAT) and the World Modelers project, which aims to build models of global-scale events.
We encourage you to visit ml.arizona.edu to learn more about AI/ML at the University of Arizona.
2024
- Yichen Li and Chicheng Zhang. Agnostic interactive imitation learning: New theory and practical algorithms. International Conference on Machine Learning (ICML), 2024.
- Kyoungseok Jang, Chicheng Zhang, and Kwang-Sung Jun. Efficient low-rank matrix estimation, experimental design, and arm-set-dependent low-rank bandits. International Conference on Machine Learning (ICML), 2024.
- Tom Yan and Chicheng Zhang. The human-ai substitution game: active learning from a strategic labeler. In 12th International Conference on Learning Representations (ICLR), 2024.
- A Unified Confidence Sequence for Generalized Linear Models, with Applications to Bandits Junghyun Lee, Se-Young Yun, and Kwang-Sung Jun In Neural Information Processing Systems (NeurIPS), 2024
- Adaptive Experimentation When You Can't Experiment Yao Zhao, Kwang-Sung Jun, Tanner Fiez, Lalit Jain In Neural Information Processing Systems (NeurIPS), 2024
- Noise-Adaptive Confidence Sets for Linear Bandits and Application to Bayesian Optimization Kwang-Sung Jun, Jungtaek Kim In International Conference on Machine Learning (ICML), 2024
2022
- ICML outstanding paper runner-up award (top 15 over 1200 accepted papers) 2022
Grant award: 2023-2026 "CIF: Small: Theory and Algorithms for Efficient and Large-Scale Monte Carlo Tree Search,"
Artificial Intelligence Faculty
Kobus Barnard
ProfessorOffice: GS 708
Interests: Computer vision, machine learning, scientific applications, multimedia data.
(Ph.D., Simon Fraser University, 1999)
Eduardo Blanco
Associate ProfessorOffice: GS 739
Interests: Natural language processing
(Ph.D., The University of Texas at Dallas, 2011)
Kwang-Sung Jun
Assistant ProfessorOffice: GS 746
Interests: Interactive machine learning, reinforcement learning and bandits, learning theory
(Ph.D., University of Wisconsin-Madison, 2015)
Jason Pacheco
Assistant ProfessorOffice: GS 724
Interests: Statistical machine learning, probabilistic graphical models, approximate inference algorithms, and information-theoretic decision making
(Ph.D., Brown University, 2016)
Ellen Riloff
Department Head and ProfessorOffice: GS 805
Interests:
(Ph.D., University of Massachusetts at Amherst, 1994)
Mihai Surdeanu
ProfessorOffice: GS 745
Interests: Natural language processing, applied machine learning, artificial intelligence.
(Ph.D., Southern Methodist University, 2001)
Chicheng Zhang
Assistant ProfessorOffice: 720
Interests: Interactive machine learning, Reinforcement learning and bandits, Learning theory
(Ph.D., University of California at San Diego, 2017)
PhD Students
Fahmida Alam
PhD StudentOffice: GS 710
Interests: Machine Learning, Natural Language Processing, Computer Security
Advisor: Dr. Ellen Riloff and Dr. Mihai Surdeanu
Ehsan Azimi
Assistant Professor of Electrical and Computer EngineeringOffice: ECE 230
Interests: Human-AI Interaction, Extended Reality (including Augmented, Virtual, and Mixed Reality), Robotics, Digital Twins, Human-Computer Interaction, and Digital Health
(PhD, Johns Hopkins University)
Kapilan Balagopalan
PhD StudentOffice: GS 725
Interests: Machine Learning and Artifical Intelligence
Advisor: Dr. Kwang-Sung Jun
Eric Duong
PhD StudentOffice: N/A
Interests: Artificial Intelligence (NLP, ML, Vision)
Advisor: Dr. Kobus Barnard
Thang Nhat Duong
PhD StudentOffice: GS 718
Interests: Artificial Intelligence (NLP, ML, Vision)
Advisor: Dr. Chicheng Zhang
Enfa George
PhD StudentOffice: GS 710
Interests: Natural Language Processing; Ethics and Bias ; Social Computing
Advisor: Dr. Mihai Surdeanu and Dr. Eduardo Blanco
Shahriar Golchin
PhD StudentOffice: N/A
Interests: Natural Language Processing (NLP), Large Language Models (LLMs), Deep Learning, Machine Learning
Advisor: Dr. Mihai Surdeanu
Alonso Granados
PhD StudentOffice: GS 725
Interests: Reinforcement Learning, Computer Vision, Probabilistic Graphical Models and Deep Learning
Advisor: Dr. Jason Pacheco
Oghenevovwe Ikumariegbe
PhD StudentOffice: GS 710
Interests: Artificial Intelligence (NLP, ML, Vision)
Advisor: Dr. Eduardo Blanco
Md Asiful Islam
PhD StudentOffice: GS 710
Interests: Artificial Intelligence, Machine Learning
Advisor: Dr. Mihai Surdeanu
Yichen Li
PhD StudentOffice: GS 718
Interests: Reinforcement Learning and Imitation Learning
Advisor: Dr. Chicheng Zhang
Yinan Li
PhD StudentOffice: GS 725
Interests: Machine Learning
Advisor: Dr. Kwang-Sung Jun
Tuan Ngo Nguyen
PhD StudentOffice: GS 725
Interests: Deep Unsupervised, Semi-supervised, Domain Adaptation, Interpretability
Advisor: Dr. Kwang-Sung Jun
Mahdi Rahimi
PhD StudentOffice: GS 718
Interests: Artificial Intelligence, Machine Learning and Robotics
Advisor: Dr. Mihai Surdeanu
Haris Riaz
PhD StudentOffice: GS 710
Interests: Machine Learning, Natural Language Processing, Neuro-Symbolic AI and Reinforcement Learning
Advisor: Dr. Mihai Surdeanu
Saiful Islam Salim
PhD StudentOffice: GS 710
Interests: Security, Natural Language Processing, Machine Learning
Advisor: Dr. Mihai Surdeanu
Jianwei (James) Shen
PhD StudentOffice: GS 725
Interests: Machine learning
Advisor: Dr. Jason Pacheco
Mayank Singh
PhD StudentOffice: GS 710
Interests: Natural Language Processing, Large Language Models, Machine Learning, Commonsense reasoning, Question Answering, Computational Semantics
Advisor: Dr. Eduardo Blanco
Robert Vacareanu
PhD StudentOffice: GS 710
Interests: Natural Language Processing, Machine Learning and Artificial Intelligence
Advisor: Dr. Mihai Surdeanu
Zijie Wang
PhD StudentOffice: GS 710
Interests: Natural language processing,
Advisor: Dr. Eduardo Blanco
Yao Zhao
PhD StudentOffice: GS 725
Interests: Machine Learning, Bandit Problem and Mathematical Optimization
Advisor: Dr. Kwang-Sung Jun
