Faculty & Staff Directory

Assistant Professor, 

Autonomous systems, control theory, formal methods, machine learning, and aerospace systems

Professor, 

Computer Vision, Machine Learning, Artificial Intelligence and Image Processing

Professor, 

Machine learning; data mining; statistical pattern recognition; computer vision and image processing

Professor, 

Statistical signal and image analysis, machine learning, neural interfaces, biomedical data analysis, human-intent inference for CPS

COE Distinguished Professor, 

Artificial Intelligence: Machine Learning and Computational Intelligence, Computer Vision and Pattern Recognition, Big Data Mining and Social Media Analytics

Assistant Professor, 

Machine Learning, Control/Learning Theory, Bayesian Statistics, Signal Processing

Assistant Research Professor, 

Professor, 

Distributed systems, networking, machine learning, big data, and privacy

Assistant Professor, 

Intersection of neuroscience, engineering, and autism

Associate Professor, 

Coding and information theory, wireless communications, data privacy and security, privacy-preserving computing and learning

Professor, 

Devices, circuits and sensing; antenna analysis, modeling, design, and optimization; subsurface scattering analysis; computational methods of electromagnetics; novel radar system specification and design; explosives detection

Vice Provost for Graduate Education, 

Combinatorial optimization, function approximation for large-scale machine learning, platforms for large-scale social experimentation, assistive technology

Associate Professor, 

Computer Vision; Machine Learning; Artificial Intelligence; Augmented Cognition with Medical Applications; Augmented/Virtual Reality

Assistant Professor, 

Robotics, computer vision, machine learning, optimization, geometry and topology, probability and statistics

Assistant Professor, 

Sparse Sensing and Control in Cyber-Physical Networks and Robotics; Distributed Systems Theory and Applications; Network Optimization and Control; Hard Limits and Tradeoff s in Large-Scale Dynamical Networks

Assistant Professor, 

Distributed machine learning, security and fault-tolerance, neural computation, bio-inspired distributed algorithms, blockchains, autonomous cars, algorithm design

Associate Professor, 

Real-time and energy-efficient deep learning and artificial intelligence systems, model compression of deep neural networks (DNNs), neuromorphic computing and non-von Neumann computing paradigms

Associate Teaching Professor, 

Assistant Professor, 

Hardware security, Machine Learning, AI Security, Energy-efficient Deep Learning, Computer Architecture, Embedded Systems, VLSI

Professor, 

Networked machine learning; networking and systems for data-intensive engineering, science, health applications; caching, edge computing; wireless network optimization; coding for low latency, network coding, polar codes; interdependent networks, cascading failure, information dissemination; network economics.