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Faculty & Staff Directory

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10 Items found

Octavia Camps

Electrical and Computer Engineering

Computer Vision, Machine Learning, Artificial Intelligence and Image Processing

Jennifer Dy

Electrical and Computer Engineering

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

Deniz Erdogmus

Professor and Associate Chair for Research, 
Electrical and Computer Engineering

machine learning, signal and image analytics, cyber-human systems

Yun Raymond Fu

jointly appointed in Electrical and Computer Engineering & Khoury College of Computer Sciences

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

Stratis Ioannidis

Assistant Professor, 
Electrical and Computer Engineering

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

Jose Martinez Lorenzo

Associate Professor, 
jointly appointed in Mechanical and Industrial Engineering & Electrical and Computer Engineering

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.

Waleed Meleis

Interim Associate Dean for Graduate Education, 
Office of the Dean

Combinatorial optimization, algorithm design and analysis, scheduling, machine learning, parallel computing.

Sarah Ostadabbas

Assistant Professor, 
Electrical and Computer Engineering

Machine learning/pattern recognition; computer vision, affective computing, human-machine interaction

Milad Siami

Assistant Professor, 
Electrical & Computer Engineering

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

Hao Sun

Assistant Professor, 
Civil and Environmental Engineering

(1) physics-informed AI for engineering applications; (2) physics-encoded deep learning for scarce data interpretation; (3) data-driven governing law discovery; (4) smart and resilient infrastructure; (5) advanced sensing, big data analytics, machine/deep learning, uncertainty quantification and inverse computational mechanics with applications to civil infrastructure monitoring and resilience assessment