Artificial Intelligence (Natural Language Processing, Machine Learning, Vision)

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 JunJason PachecoChicheng 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
 

Artificial Intelligence Faculty

Image
Kobus Barnard headshot

Kobus Barnard

Professor
Office: GS 708
Interests: Computer vision, machine learning, scientific applications, multimedia data.
(Ph.D., Simon Fraser University, 1999)
Image
Dr. Eduardo Blanco

Eduardo Blanco

Associate Professor
Office: GS 739
Interests: Natural language processing
(Ph.D., The University of Texas at Dallas, 2011)
Image
Kwnag-Sung Jun headshot

Kwang-Sung Jun

Assistant Professor
Office: GS 746
Interests: Interactive machine learning, reinforcement learning and bandits, learning theory
(Ph.D., University of Wisconsin-Madison, 2015)
Image
Jason Pacheco headshot

Jason Pacheco

Assistant Professor
Office: GS 724
Interests: Statistical machine learning, probabilistic graphical models, approximate inference algorithms, and information-theoretic decision making
(Ph.D., Brown University, 2016)
Image
Ellen Riloff

Ellen Riloff

Department Head and Professor
Office: GS 805
Interests:
(Ph.D., University of Massachusetts at Amherst, 1994)
Image
Mihai Surdeanu headshot

Mihai Surdeanu

Professor
Office: GS 745
Interests: Natural language processing, applied machine learning, artificial intelligence.
(Ph.D., Southern Methodist University, 2001)
Image
Chicheng Zhang headshot

Chicheng Zhang

Assistant Professor
Office: 720
Interests: Interactive machine learning, Reinforcement learning and bandits, Learning theory
(Ph.D., University of California at San Diego, 2017)

PhD Students

Image
Fahmida Alam Headshot

Fahmida Alam

PhD Student
Office: GS 710
Interests: Machine Learning, Natural Language Processing, Computer Security
Advisor: Dr. Ellen Riloff and Dr. Mihai Surdeanu
Image
Kapilan Balagopalan headshot

Kapilan Balagopalan

PhD Student
Office: GS 725
Interests: Machine Learning and Artifical Intelligence
Advisor: Dr. Kwang-Sung Jun
Image
UA Blue and Red roadrunner standing on an open laptop

Aunabil Chakma

PhD Student
Office: GS 718
Advisor: Dr. Ellen Riloff
Image
UA Blue and Red roadrunner standing on an open laptop

Răzvan-Gabriel Dumitru

PhD Student
Office: GS 710
Advisor: Dr. Mihai Surdeanu
Image
Eric Duong headshot

Eric Duong

PhD Student
Office: N/A
Interests: Artificial Intelligence (NLP, ML, Vision)
Advisor: Dr. Kobus Barnard
Image
Tuan Ngo Nguyen headshot

Thang Nhat Duong

PhD Student
Office: GS 718
Interests: Artificial Intelligence (NLP, ML, Vision)
Advisor: Dr. Chicheng Zhang
Image
Enfa George Headshot

Enfa George

PhD Student
Office: GS 710
Interests: Natural Language Processing; Ethics and Bias ; Social Computing
Advisor: Dr. Mihai Surdeanu and Dr. Eduardo Blanco
Image
Shahriar Golchin headshot

Shahriar Golchin

PhD Student
Office: N/A
Interests: Natural Language Processing (NLP), Large Language Models (LLMs), Deep Learning, Machine Learning
Advisor: Dr. Mihai Surdeanu
Image
Alonso Granados headshot

Alonso Granados

PhD Student
Office: GS 725
Interests: Reinforcement Learning, Computer Vision, Probabilistic Graphical Models and Deep Learning
Advisor: Dr. Jason Pacheco
Image
Brenda

Brenda Huppenthal

PhD Student
Office: GS 725
Advisors: Dr. Kobus Barnard
Image
Oghenevovwe Ikumariegbe Headshot

Oghenevovwe Ikumariegbe

PhD Student
Office: GS 710
Interests: Artificial Intelligence (NLP, ML, Vision)
Advisor: Dr. Eduardo Blanco
Image
Md Asiful Islam Headshot

Md Asiful Islam

PhD Student
Office: GS 710
Interests: Artificial Intelligence, Machine Learning
Advisor: Dr. Mihai Surdeanu
Image
Yichen Li Headshot

Yichen Li

PhD Student
Office: GS 718
Interests: Reinforcement Learning and Imitation Learning
Advisor: Dr. Chicheng Zhang
Image
Yinan Li headshot

Yinan Li

PhD Student
Office: GS 725
Interests: Machine Learning
Advisor: Dr. Kwang-Sung Jun
Image
Tuan Ngo Nguyen headshot

Tuan Ngo Nguyen

PhD Student
Office: GS 725
Interests: Deep Unsupervised, Semi-supervised, Domain Adaptation, Interpretability
Advisor: Dr. Kwang-Sung Jun
Image
Mahdi Rahimi headshot

Mahdi Rahimi

PhD Student
Office: GS 718
Interests: Artificial Intelligence, Machine Learning and Robotics
Advisor: Dr. Mihai Surdeanu
Image
Haris Riaz Headshot

Haris Riaz

PhD Student
Office: GS 710
Interests: Machine Learning, Natural Language Processing, Neuro-Symbolic AI and Reinforcement Learning
Advisor: Dr. Mihai Surdeanu
Image
Saiful Islam Salim headshot

Saiful Islam Salim

PhD Student
Office: GS 710
Interests: Security, Natural Language Processing, Machine Learning
Advisor: Dr. Mihai Surdeanu
Image
Jianwei Shen Headshot

Jianwei (James) Shen

PhD Student
Office: GS 725
Interests: Machine learning
Advisor: Dr. Jason Pacheco
Image
Mayank Singh Headshot

Mayank Singh

PhD Student
Office: GS 710
Interests: Natural Language Processing, Large Language Models, Machine Learning, Commonsense reasoning, Question Answering, Computational Semantics
Advisor: Dr. Eduardo Blanco
Image
UA Blue and Red roadrunner standing on an open laptop

Neha Sontakke

PhD Student
Advisor: Dr. Mihai Surdeanu
Image
Robert Vacareanu headshot

Robert Vacareanu

PhD Student
Office: GS 710
Interests: Natural Language Processing, Machine Learning and Artificial Intelligence
Advisor: Dr. Mihai Surdeanu
Image
Zijie Wang headshot

Zijie Wang

PhD Student
Office: GS 710
Interests: Natural language processing,
Advisor: Dr. Eduardo Blanco
Image
Yao Zhao headshot

Yao Zhao

PhD Student
Office: GS 725
Interests: Machine Learning, Bandit Problem and Mathematical Optimization
Advisor: Dr. Kwang-Sung Jun