B.S. Computer Engineering 2003, Drexel University

Ph.D. Electrical Engineering 2008, Drexel University


Engineering Consultant

Dr. Anthony Deese, Ph.D. is the Department Chair and Associate Professor of Electrical and Computer Engineering at The College of New Jersey (TCNJ). He received his Bachelor of Science (BS) in computer engineering as well as Doctorate of Philosophy (PhD) in electrical engineering from Philadelphia's Drexel University in 2003 and 2008 respectively. Before joining TCNJ in Fall 2010, he spent two years as a postdoctoral research fellow and adjunct assistant professor at Drexel's Center for Electric Power Engineering (CEPE). His technical interests (see word maps to left) include custom the Internet of Things (IoT) and LPWAN, custom analog circuit and PCB design, software development for mobile and React.JS platforms, embedded systems (e.g. Cypress PSoC6), neural networks and machine learning, nonlinear system optimization, as well as renewable energy for power systems. He has published more than 20 peer-reviewed research works and served as principal investigator (PI) for more than $150,000.00 in external funding. His recent work is featured in both the IEEE Transactions on Power Systems and IEEE Transactions on Smart Grid. He is a member of the IEEE Power and Energy Society, serving regularly as a reviewer for IEEE conferences and journals as well as NSF funding panels. Deese has consulted for many companies such as Viridity Energy.

Machine Learning Mobile Application for Android

For this project, Deese developed a mobile application in Android Studio that 1) allowed users to login securely, 2) stored their encypted information on Amazon Web Services (AWS) Dynamo DB, 3) collected information about users' demographics and gift preferences, 4) applied machine learning implemented within AWS Lambda to this collected data set, and 5) predicted the gift preferences of others from those results. This application is currently being adapted to include greater advertising capabilities for commercial distribution.

Project Portfolio