Dr. Rushit Dave, Ph.D.

Rushit Dave
  • Assistant Professor
  • Computer Science
Teaching Interests
  • Algorithms
  • Programming languages
  • Software Engineering
  • Artificial intelligence and machine learning
  • Big Data Analysis
  • Data Mining 
Responsibilities
  • CSCI 330 Programming Languages [ Spring 22 ] 
  • CSCI 355 Software Engineering I [ Spring 22 ]
  • CSCI 492 Research in Computer Science-II [ Spring 22 ]
Research and Creative Activities
  • Securing IOT devices using Pattern Recognition
  • Prediction Analysis using Machine Learning in Mobile Devices
  • Authentication and Security Using Machine Learning
  • Theoretical Foundations 

Advisor of OmTech Student Organization Group

Organizing Chair of Programming Workshop on Python & Machine Learning Fall2021- Spring2022

Director of AIMS – Artificial Intelligence & Machine Learning Security Research Group 

Current Projects:

  1. User Authentication using mouse movement detection based on Machine Learning
  2. Machine Learning based Authentication Schemes using Behavioral Biometrics
  3. Data privacy and Security for Autonomous Vehicles
  4. Web Development project for improving existing Canvas/Blackboard systems
  5. Human Activity Recognition in wearable devices using Machine Learning
  6. Data-Driven Investigation of Curiosity in Student Text Responses
  7. Securing IoT devices in wireless networks using Machine Learning
  8. Edge Computing for Healthcare and Smart Cities

Other Projects:

  • Malware Attack Patterns in Mobile Phones
  • Facial Recognition using Machine Learning
  • Object detection using Machine Learning

 

Education
  • 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 Science)
Published Research
  1. “An Analysis of IoT Cyber Security Utilizing Machine Learning”, paper accepted in 3rd International conference of Communications and Computing Technologies 2021, LNNS Springer.
  2. “An Examination of User Authentication Schemes Using Machine Learning Methods”, paper accepted in 3rd International conference of Communications and Computing Technologies 2021, LNNS Springer.
  3. “A Study of Machine Learning Based Pattern Recognition in IoT Devices”, paper accepted in 3rd International conference of Communications and Computing Technologies 2021, LNNS Springer.
  4. "An Investigation of Biometric Authentication in the Healthcare Environment", Array journal Elsevier, Volume 8,2020
Professional Memberships
  • Institute of Electrical and Electronics Member [IEEE Robotics & Automation Society]
  • Association of Computing Machinery Member [ACM]
  • American Society of Engineering Education Member [ASEE]