He completed his PhD in Electrical and Computer Engineering at University of Connecticut in 2018. He obtained his Master degree in Electrical Engineering in Fall 2016 from UConn. His research mainly is focused on security and privacy of biometrics, Internet of Things and hardware security, computer vision, and machine learning. His research has resulted in one book chapter, six journals in premier ACM/IEEE, and sixteen per reviewed conference papers. His research has been recognized by several awards including IAPR TC4 Best Student Paper Award from International Joint Conference on Biometrics, Best Paper Award from International Conference on VLSI Design and Embedded Systems (VLSID), Best Poster Award for hardware security at Florida Institute for Cybersecurity Research conference and UConn’s prestigious Doctoral Dissertation award.