Dr.Rushit Dave

PhD | Faculty

Address:
Phone:
Email: rushit.dave@mnsu.edu

DEGREEs

  • Ph.D., North Carolina A&T State University, Greensboro, NC, USA (Computer Science)
  • M.S., New York Institute of Technology, NY, USA (Computer Science)
  • B.Tech, Dharmasinh Desai University, India (Computer Engineering)

RESEARCH INTERESTS

  • Machine learning & Applications
  • Cyber Security
  • Biometrics Authentication schemes
  • Touch and Click stream analysis
  • Data Mining
  • Deep Learning and Reinforcement Learning

BIO

Dr. Rushit Dave is an Assistant Professor in the Computer Information Science Department at Minnesota State University Mankato. Prior joining to MNSU Dr. Dave was an Assistant Professor in the Computer Science Department at University of Wisconsin Eau Claire [2020-2022]. He received his Doctor of Philosophy degree in Computer Science from North Carolina A&T State University and his Master of Science degree in Computer Science from New York Institute of Technology. He has published multiple journal and conference papers in reputed platforms. Dr. Dave also holds position in Editorial and Reviewer board at many Computer Science and Engineering journal and conference platforms. His current research focus is on Machine Learning & Deep Learning Applications of Cyber Security, Biometrics, IoT Security in wireless networks, Machine Learning Applications of Computing in Education, Object detection using Machine Learning, Human Activity Recognition using Machine Learning and Canvas System 2.0.

He helped found, and is currently Director of Artificial Intelligence, Machine learning & Security Research [AIMS] Group. This research group collaborates with Minnesota State University, North Carolina A&T State University, Northern Kentucky University and University of Wisconsin Eau Claire.

If you are interested in working on any of the projects based on Machine Learning and Deep Learning, please send your Resume to rushit.dave@mnsu.edu

His teaching interests include analysis of algorithms, programming languages, data structures, database systems, machine learning, Intro to data mining, software engineering, mobile application development and operating systems.

 

 

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