Research in AI:

Golisano College of Computing and Information Sciences

As an important and growing subfield of computing, with many applications to other computing subfields and other disciplines, artificial intelligence is part of undergraduate and graduate courses across many of our academic programs.

Coursework ranges from introductory courses that are open to all students to specialized technology, theory, and research courses for graduate students. Our faculty and students have been conducting research in artificial intelligence on both foundational AI technologies and applications of societal importance where AI changes how we live, work, and interact.

Faculty Research Expertise Areas

  • Machine Learning/Deep Learning: Secure, Trustworthy, Interpretable, and Federated;
  • Computer Vision and Pattern Recognition;
  • Natural Language Processing.
  • Multiagent Systems;
  • Nature-Inspired Machine Learning;    
  • Human-in-the-Loop;
  • AI for Social Good;
  • AI for Cybersecurity;
  • AI for Healthcare;
  • AI for Games

Graduate students (Ph.D. and MS) are often working in our various labs with faculty mentors, while undergraduates may work alongside them.

Faculty doing research in AI

Ivona Bezakova
Professor, Computer Science
585-475-4526

machine learning, learning theory

Reynold Bailey
Professor, Computer Science
585-475-6181

visual perception, multimodal human sensing

Travis Desell
Professor, Software Engineering
585-475-2991

nature inspired computation, computer vision

Edith Hemaspaandra
Professor, Computer Science

multiagent systems, computational social choice

Christopher Homan
Associate Professor, Computer Science
5857196835

machine learning, natural language processing

Matt Huenerfauth
Dean, Golisano College of Computing and Information Sciences
585-475-7203

AI for accessibility, usability of AI-based systems

Ashique KhudaBukhsh
Assistant Professor, Software Engineering

natural language processing, AI for social impact

Daniel Krutz
Associate Professor, Software Engineering

machine learning, strategic reasoning

Richard Lange
Assistant Professor, Computer Science
585-475-7923

machine learning, cognitive science

Rui Li
Associate Professor, Computing and Info Sciences
585-475-2521

statistical machine learning, biomedical informatics, human visual attention

Xumin Liu
Professor, Computer Science
585-475-7459

machine learning, web service

Alexander Ororbia
Associate Professor, Computer Science
585-475-2622

nature inspired computation, predictive coding

Yin Pan
Professor, Cybersecurity

machine learning, digital forensics

Nidhi Rastogi
Assistant Professor, Software Engineering

interpretable AI, AI for security

Leon Reznik
Professor, Computer Science
585-475-7210

data quality and analytics, AI for security

Justus Robertson
Assistant Professor, Interactive Games and Media

AI for games, interactive narrative

Naveen Sharma
Associate Dean for Faculty Affairs and Industry Engagement
585-475-2472

smart cities, AI for security

Pengcheng Shi
Associate Dean for Research and Scholarship/PhD Program Director
585-475-6147

integrated human-machine intelligence, biomedical informatics

Zhiqiang Tao
Assistant Professor, School of Information

machine learning, computer vision

Linwei Wang
Bruce B Bates Professor
585-475-4238

deep learning, biomedical informatics

Matthew Wright
O'Sullivan Professor and Department Chair
585-475-5432

adversarial machine learning, AI for security

Haibo Yang
Assistant Professor, Computing and Info Sciences
585-475-2571

distributed/federated learning, large models

Qi Yu
Professor, School of Information
585-475-6929

interpretable machine learning, human-in-the-loop, health informatics

Zhe Yu
Assistant Professor, Software Engineering

human-in-the-loop, AI for social good

Bo Yuan
Professor, Cybersecurity
585-475-4468

machine learning, AI for security

Richard Zanibbi
Professor, Computer Science
585-475-5023

pattern recognition, machine learning

Weijie Zhao
Assistant Professor, Computer Science
585-475-2118

secured and trustworthy machine learning