Machine Learning and AI
Monica Bugallo
Professor
Bayesian Estimation and Inference, Monte Carlo Methods, Machine Learning and Applications, Computational Methods for Data Analysis, Engineering Education and Workforce Development, K–12 STEM Education, Educational Access and Opportunities in STEM
Diego Cuji
PRODIG+ Postdoctoral Fellow
diego.cujidutan@stonybrook.edu
Adaptive Signal Processing and Communication Systems, Underwater Acoustics, Communication in High Doppler-distorted Channels, Algorithms for Machine Learning
Petar Djuric
Distinguished Professor
Machine Learning, Artificial Intelligence, Signal and Information Processing, Bayesian Optimization, Monte Carlo methods and Distributed Signal Processing
Alex Doboli
Professor
Electronic Design Automation, Human-inspired Machine Learning, Cyber-Social Systems, Creativity in Engineering Design, Methodologies and Tools for Team-based Design, Problem Solving in Engineering Design, Design Automation for Power System Design, Software Tools for Education Support
Ji Liu
Associate Professor
Distributed Control and Optimization, Decentralized Reinforcement Learning, Distributed Quantum Computing, Network Epidemiology, Multi-Agent Systems, Network Science
Vibha Mane
Assistant Professor of Practice
Machine Learning, Artificial Intelligence, Approximate Solutions of Master Equation with applications in biochemical networks
Hyeongrak "Chuck" Choi
Assistant Professor
AI-enabled autonomous quantum experiments, physics-aware digital twins, AI-native quantum sensing and inference.
Jorge Mendez-Mendez
Assistant Professor
jorge.mendezmendez@stonybrook.edu
Lifelong learning, embodied AI, reinforcement learning.
Andrew Singer
Dean, College of Engineering and Applied Sciences & Professor
Andrew.C.Singer@stonybrook.edu
Signal Processing and Communication Systems, Algorithms for Machine Learning and Sequential Decision Making, Underwater Sensing and Signal Processing, Audio and Speech Signal Processing, Augmented Listening Systems
Murali Subarrao
Professor
murali.subarrao@stonybrook.edu
Research on Computer vision and Robot vision. Physics informed neural nets (PINNs).
Shan Lin
Associate Professor
Machine learning algorithms, generative models, and LLM applications to extract actionable insights from multi-modal data. Learning digital biomarkers, emotional cues, and closed-loop treatment policies. Physics-informed, human-centered AI for digital health monitoring and urban service analytics.
Wendy Tang
Associate Professor & Associate Chair
Parallel and distributed processing; massively parallel systems; computer architecture; neural networks
Lav R. Varshney
Della Pietra Infinity Professor / Director, AI Innovation Institute
Foundations, applications, governance, and ethics of AI.
Fan Ye
Professor & Graduate Program Director
AI algorithms and infrastructure for health sciences.
Peter Milder
Associate Professor
Reliable AI in extreme environments. Efficient hardware and software for AI.
Ji Liu
Associate Professor
Developing distributed multi-agent algorithms for learning, decision-making, and resilient coordination, as well as AI methods for mathematical discovery and reasoning.
Peng Zhang
SUNY Empire Innovation Professor
AI-enabled, programmable smart grids.
Yifan Zhou
Assistant Professor
Verifiable and physics-informed AI for power grids.
Anton Selitskiy
Professor of Practice
anton.selitskiy@stonybrook.edu
Mathematically grounded artificial intelligence; robust, reliable, interpretable, and secure AI; speech and multimodal AI; generative models for audio; synthetic and manipulated media detection; speaker verification and biometric authentication.