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Gennady Miloshevsky, Ph.D.
Associate Professor, Department of Mechanical and Nuclear EngineeringVCU College of Engineering
Professor Miloshevsky researches computational physics with emphasis on effects of plasma, laser and particle beams on materials.
Brooke Flammang
Assistant Professor, Biological SciencesNew Jersey Institute of Technology
Professor Flammang specializes in functional morphology, biomechanics, and bioinspired technology of fishes, including sharks and remora.
Naomi Ekas
Department Chair & Professor of PsychologyTexas Christian University
Naomi Ekas is an expert in autistic and non-autistic children's emotional development.
Nigel Newbutt
Assistant ProfessorUniversity of Florida
Nigel Newbutt is a leading expert in the use of technologies with autistic groups, specifically virtual reality and immersive technologies.
Craig Albert, PhD
Graduate Director, PhD in Intelligence, Defense, and Cybersecurity Policy and Master of Arts in Intelligence and Security StudiesAugusta University
Dr. Craig Albert focuses on propaganda, information warfare, national security studies, cyberconflict, and political thought.
Hugh Jack
ProfessorWestern Carolina University
Hugh Jack holds degrees in both electrical and mechanical engineering.
Pramod Abichandani
Associate Professor of Applied Engineering and TechnologyNew Jersey Institute of Technology
Researches drones, robotics and embedded systems
Hashem Ashrafiuon, PhD
Professor of Mechanical Engineering; Director, Heterogeneous Autonomous Vehicles Laboratory (HAVLab); Director, Unmanned Surface and Underwater Vehicles | College of EngineeringVillanova University
Hashem Ashrafiuon, PhD, is an expert on robotics, autonomous vehicles and nonlinear dynamics and control.
Hongwu Wang
Assistant ProfessorUniversity of Florida
Hongwu Wang is a biomedical engineer merging AI, wearables, rehab robotics, and assistive tech into real-world aging/disability solutions.
Zico Kolter
Associate Professor and Director of Machine LearningCarnegie Mellon University
Zico Kolter researches how to make deep learning algorithms more robust, safer, and understand how data impacts how models function.