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Derek Riley, Ph.D.
Professor, Program Director of Computer ScienceMilwaukee School of Engineering
Dr. Derek Riley is an expert in machine learning, deep learning, artificial intelligence, simulation, and high-performance computing.
Charles Taylor, PhD
John A. Murphy Endowed Chair Professor of Marketing; Senior Research Fellow at the Center for Marketing and Consumer Insights | Villanova School of BusinessVillanova University
Charles "Ray" Taylor, PhD, is a go-to source on advertising, international marketing, branding and consumer behavior.
Kurt Rohloff
Associate Professor, Computer ScienceNew Jersey Institute of Technology
Professor Rohloff focuses on encrypted computing, homomorphic encryption, lattice-based and applied cryptography and cybersecurity
Thomas Ksiazek, PhD
Professor and Department Chair, Communication | College of Liberal Arts and SciencesVillanova University
Thomas Ksiazek, PhD, researches the media industry's constant evolution to satisfy the needs of its audience.
Allison Alford, Ph.D.
Clinical Associate Professor of Business CommunicationBaylor University
Interpersonal & business communications expert who studies the roles of daughters & mothers in the family structure
John Covach
Professor of Music and Director of the Institute for Popular Music; Professor of Theory at Eastman School of MusicUniversity of Rochester
John Covach is an expert on the history of popular and rock music, 12-tone music, and the philosophy and aesthetics of music.
Jeremy Firestone
Professor, Marine Science and PolicyUniversity of Delaware
Prof. Firestone's major research focus is renewable energy transition.
Jill C. Trepanier
Professor and Department ChairLouisiana State University
Dr. Trepanier is a hurricane climatologist and geographer focusing on the statistical estimation of extreme weather risk.
Sean Alexander
ExecutiveFormer Microsoft
AI & Business strategy executive | Board Member | Advisor
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.