systems Experts
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Michelle Zabel, MSS
Executive Director of Innovations InstituteUniversity of Connecticut
Michelle Zabel and her team advance research-based, culturally responsive solutions for child, youth, and family-serving public systems.
Professor Nigel Crook
Professor of AI and Robotics and Founding Director of the Institute for Ethical AIOxford Brookes University
His work addresses how to equip artificially intelligent robotic systems with moral competence.
Dr. Akramul Azim
Assistant Professor, Faculty of Engineering and Applied ScienceUniversity of Ontario Institute of Technology
Computer science expert, exploring the advantages of state-based communication scheduling and network code in real-time systems
Marlene Matarese, Ph.D.
Research ProfessorUniversity of Connecticut
Marlene Matarese works to improve access to and the quality of systems and services for children and youth with public system involvement.
Sue Metzger
Professor of the Practice, Information Systems; Faculty Director, VU Women in Tech | Villanova School of BusinessVillanova University
Sue Metzger, MS, is an expert in advancing women in technology, mobile app development and entrepreneurship, and enterprise computing.
Sam Coogan
Assistant Professor, Electrical and Computer EngineeringGeorgia Tech - COE
Sam Coogan researches in the area of dynamical systems and focuses on developing tools for cyber-physical systems.
Sarah Schaumann, PhD
Postdoctoral AssociateMIT Center for Transportation & Logistics
Dr. Schaumann leverages AI, machine learning, and optimization methods to tackle real-world challenges in logistics.
Rick Hoadley
Adjunct ProfessorMilwaukee School of Engineering
Rick Hoadley is an electrical engineer with expertise in DC and AC drives, drive applications, transformers, power electronics and quality.
Bridge Zhao
Assistant Professor of Electrical and Computer EngineeringLoyola Marymount University
Develops human-centered AI for safer, more sustainable mobility—from human behavior to intelligent vehicles and transportation networks.
Christopher Kanan
Associate Professor of Computer ScienceUniversity of Rochester
Christopher Kanan's research focuses on deep learning and Artificial Intelligence (AI)