Eric Durant, Ph.D., MBA, P.E.
Professor, Program Director · Milwaukee School of Engineering
Dr. Eric Durant's research focuses on real-time audio processing with a focus on hearing aids and artificial intelligence/deep learning.
Deep Learning Audio Processing Beamforming Electrical Engineering Computer Engineering
Ray Toal
Professor of Computer Science · Loyola Marymount University
Seaver College of Science and Engineering
Computer Science Programming Languages Compilers and Interpreters Software Architecture Database Systems
James Fienup
Robert E. Hopkins Professor of Optics, Professor of Electrical and Computer Engineering, and Professor in the Center for Visual Science · University of Rochester
Fienup is a leading expert in the use of phase retrieval algorithms to carefully align mirrors on NASA satellites once they are in orbit.
Optics Webb Telescope Imaging with Sparse and Segmented-Aperture Systems Image Reconstruction Phase Retrieval
Richard J. Radke
Professor, Electrical, Computer, and Systems Engineering · Rensselaer Polytechnic Institute
Studies computer vision problems related to human-scale, occupant-aware environments
Radiotherapy Smart Lighting Social Signal Processing Video Processing Computer Vision
Yuichi Motai, Ph.D.
Associate Professor, Department of Electrical and Computer Engineering · VCU College of Engineering
Associate Professor of the Department of Electrical and Computer Engineering of Virginia Commonwealth University.
System Safety Intelligent Systems with Adaptive Tracking Online Classification Methodologies Medical Imaging Pattern Recognition
John Chandy, Ph.D.
Professor, School of Engineering · University of Connecticut
Professor focused on cybersecurity, computer hacking, Internet of Things, systems engineering, and computer hardware security.
Hardware Security Distributed System Architectures Distributed File Systems Network Storage Parallel Algorithms
Taghi Khoshgoftaar, Ph.D.
Motorola Professor · Florida Atlantic University
Taghi Khoshgoftaar researches computer security and intrusion detection systems.
Computer Security and Intrusion Detection Systems Software Engineering Machine Learning Data Mining Big Data Analytics
Keith Even Schubert, Ph.D.
Professor, Electrical & Computer Engineering · Baylor University
Keith Even Schubert, Ph.D. is professor of Electrical & Computer Engineering at Baylor University.
Digital Logic Aerospace Engineering Optimization Imaging and 3d Reconstruction Numerical Linear Algebra
John David Dionisio
Chair and Professor of Computer Science · Loyola Marymount University
Seaver College of Science and Engineering
Computer Science Interaction Design Computer Graphics
Liran Ma
Professor · Texas Christian University
Dr. Ma's current research focuses on security and privacy, data analytics, artificial intelligence, and STEM education.
Internet of Things Mobile Health and Safety Wireless Networks Security Systems Cloud Computing
Mary Simoni
Dean, School of Humanities, Arts, and Social Sciences & Professor, Arts · Rensselaer Polytechnic Institute
Works as a leading composer, author, teacher, pianist, and arts administrator
Sound Synthesis Interactive Electronics Music Education Music Theory Music Composition
David Bader
Distinguished Professor, Data Science · New Jersey Institute of Technology
Interests lie at the intersection of data science & high-performance computing, with applications in cybersecurity
Graph Analytics Massive-Scale Analytics High-Performance Computing Data Science Applications in Cybersecurity
Christopher Garcia
Associate Professor of Business · University of Mary Washington
Christopher Garcia is an expert in optimization, quantitative modeling and business analytics.
Applied Statistics Data Mining Predictive Analysis Optimization Experimental Design
Swati Gupta
Assistant Professor, Industrial and Systems Engineering · Georgia Tech - College of Engineering
Gupta's research focuses on optimization, machine learning, and bias and fairness within the AI sphere.
Data-driven Decision-making Under Partial Information Online and Machine Learning Combinatorial, Convex and Robust Optimization Fairness and Bias in Decisions
Christopher Kanan
Associate Professor of Computer Science · University of Rochester
Christopher Kanan's research focuses on deep learning
Applied Machine Learning (e.g. Medical Computer Vision) Language-guided Scene Understanding Artificial Intelligence Deep Learning Medical Computer Vision
Milos Manic, Ph.D.
Professor of Computer Science · VCU College of Engineering
Milos Manic, Ph.D., FIEEE., is director of VCU's Cybersecurity Center and an expert in cybersecurity and critical infrastructure protection.
Computational Intelligence Techniques (Machine Learning) with Applications in Energy Cybersecurity and Human Machine Interfaces Software Defined Networks Fuzzy Neural Data Mining Techniques Energy Security Human-machine Interfaces
Gustavo Vejarano
Associate Professor · Loyola Marymount University
Seaver College of Science and Engineering
Multimedia Communications
Eyuphan Bulut, Ph.D.
Associate Professor · VCU College of Engineering
Professor Bulut's research interests include wireless networks and mobile computing, cyber-physical systems, and social networks
Mobile Computing: Wireless Networks Cyber-physical Systems Mobile Social Networks Wireless Charging Security: Cyber Security Network Security Privacy and Trust Mobile (3G/4G) Systems: Mobile Packet Core Cloud Mobile Data Offloading Big Data: Internet of Things (IoT) Crowd-sensing Mobile Data Mining and Supervised Learning
Zachary Manchester
Assistant Professor · Carnegie Mellon University
Zachary Manchester is a researcher and aerospace engineer with broad interests in dynamics, control, estimation and optimization.
Legged Robots Robotics Commercial Aerospace Simulation Software Unmanned Aerial Vehicles Aerospace Engineering
Russell Schwartz
Professor and Department Head · Carnegie Mellon University
Russell Schwartz works in computational biology and the use of algorithms, AI, machine learning, and simulation in biomedical science.
Cancer Biology Biophysics Population Genetics Computational Genomics Machine Learning