Liran Ma

Associate Professor · Texas Christian University

Computer science expert, specializing in security and reliability of networked information systems

Mobile Health and Safety Wireless Networks Security Systems

Eric Durant, P.E., Ph.D.

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

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

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

Krishnan Pillaipakkamnatt

Professor of Computer Science · Hofstra University

Krishnan Pillaipakkamnatt specializes in data mining, machine learning, and computational learning theory.

Algorithms Data Structures Discrete Mathematics Operating Systems Programming

Meera Sitharam

Professor · University of Florida

Meera Sitharam's expertise is in computational geometry with research in algorithms, bioinformatics and machine learning.

Artificial Intelligence Combinatorial and Geometric Rigidity Discrete Geometry Softmatter and Microstructure Mathematical and Computational Modeling

Malik Magdon-Ismail

Professor, Computer Science · Rensselaer Polytechnic Institute

Learning from data and decision-making in complex data systems

Probability and Stochastic Processes Pattern Recognition Machine Learning Big Data Algorithms

Michael H. Peters, Ph.D.

Professor, Department of Chemical and Life Science Engineering · VCU College of Engineering

Professor Peters conducts experimental and theoretical research in the field of protein engineering.

Peptidyl-Biomimetics Inhibitors for Breast Cancer Targets OpenContact: A Simple Static Protein-Protein Mapping Algorithm Extended Liouville Equation for Open Systems Neuronal Stem Cell Delivery Systems Protein Engineering

David Bader

Distinguished Professor, Computer Science · New Jersey Institute of Technology

Interests lie at the intersection of data science & high-performance computing, with applications in cybersecurity

Computational Genomics Applications in Cybersecurity Data Science High-Performance Computing Massive-Scale 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.

Computer Architecture Bio-medical Applications of Computer Science and Engineering Filtering Applied Mathematics Control Systems

Rachel Cummings

Assistant Professor, Industrial and Systems Engineering · Georgia Tech - COE

Rachel Cummings is an expert in data privacy, algorithmic economics, optimization, statistics, and information theory.

Medical Instrumentation Home Monitoring of Chronic Disease Data Generation Machine Learning Data Privacy

Ashok Krishnamurthy, Ph.D.

Deputy Director, Renaissance Computing Institute (RENCI) · UNC at Chapel Hill

Dr. Krishnamurthy is known for working successfully with stakeholders involved in university-based technology research organizations.

High Performance Computing Simulations Scientific Computing Algorithms Matlab

Thang Dinh, Ph.D.

Associate Professor · VCU College of Engineering

Computer scientist focusing on security and optimization challenges in complex systems including social networks.

Network vulnerability assessment Security and privacy in social networks and wireless networks Combinatorial Optimization Approximation algorithm

Serghei Mangul, PhD

Assistant Professor of Clinical Pharmacy · USC School of Pharmacy

Serghei Mangul's research focuses on improving the techniques of bioinformatics.

Bioinformatics Quantitative Biosciences Clinical Pharmacy Computational Biosciences Computational Biology

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

Krzysztof “Krys” Cios, Ph.D., D.Sc., M.B.A.

Professor, Department of Computer Science · VCU College of Engineering

Research in data mining, machine learning and biomedical informatics.

Data Science Data Mining Machine Learning Computational Neuroscience Biomedical Informatics

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

Kristina Wagstrom, Ph.D.

Eversource Energy Assistant Professor of Environmental Engineering Education · University of Connecticut

Professor Wagstrom is a chemical engineer with a specialization in atmospheric chemistry.

Biofuels Woman in STEM Air Pollution Atmospheric Chemistry Biomolecular Engineering

Derek Riley, Ph.D.

Associate Professor, Computer Science Program Director · Milwaukee School of Engineering

Dr. Derek Riley's is an expert in big data, artificial intelligence, computer modeling and simulation, and mobile computing/programming.

Process Modeling and Simulation Big Data Computer Science Software Engineering Algorithms

Christina Eubanks-Turner

Graduate Program Director and Associate Professor of Mathematics · Loyola Marymount University

Seaver College of Science and Engineering

Mathematics Commutative Algebra Graph Theory Mathematics Education Broadening Participation in Mathematical Sciences