Special Status Faculty

Anuradha Ravi, Research Assistant Professor

Anuradha Ravi poses for a photo inside a roomDr. Ravi is a Research Assistant Professor in Information Systems at UMBC. Her research interests include edge computing, developing low-power machine learning models for IoT, IoT-enhanced smart spaces, and wireless networking. Prior to joining UMBC, Dr. Ravi worked as a  Research Scientist (PostDoc) at Singapore Management University (Oct 2018 – Mar 2023). She completed her Ph.D. at the Indian Institute of Technology, Roorkee, India, in 2016. Dr. Ravi was awarded the “SMU Research Excellence” award for her contribution to the “AI-Based Occupancy Aware Smart Building Energy Optimization project,” which includes indoor localization for occupancy sensing in Smart Buildings. She has vast experience building real-time working prototypes to convert research into real-time demonstration.

Personal Website: https://sites.google.com/view/anuradhar

LinkedIn: https://www.linkedin.com/in/anuradha-ravi-ph-d-36564a3b/

Philip Feldman, M.S. ’14, human-centered computing, and Ph.D. ’20, human-centered computing, Adjunct Assistant Professor

Philip Feldman headshotDr. Feldman has been an Adjunct Research Assistant Professor of Information Systems at UMBC since 2020. He has a diverse and extensive professional background, having served as an AI/ML Futurist at ASRC Federal, Technology Architect at Novetta, Inc, and in various technical and leadership roles at other organizations. His educational background includes a PhD and MS in Human-Centered Computing from UMBC, an MS in Interdisciplinary Studies from Johns Hopkins University, and a BA in Interdisciplinary Studies from the University of Maryland. He has been a speaker at several prominent events and has authored the book “Stampede Theory: Human Nature, Technology, and Runaway Social Realities” published by Elsevier in 2023. Additionally, he has a rich history of publications, speaking engagements, and patents in the fields of AI, machine learning, and human-centered computing. His research interests include societal-scale AI conflict, intelligent control systems, simulation, ethics, and the impact of technology on society.

Personal Website: https://philfeldman.com

LinkedIn: https://www.linkedin.com/in/phil-feldman-phd/