Md Liakat Ali

Md Liakat Ali is an Associate Professor in the Department of Computer Science and Physics at Rider University, New Jersey. He holds a Ph.D. in Computer Science from Pace University and multiple Master's degrees from Blekinge Institute of Technology and International Islamic University Chittagong. His academic career includes roles at Rider University since 2018, prior positions at Caldwell University, Rowan University, and adjunct roles at several institutions.

His research focuses on Machine Learning, Artificial Intelligence, Behavioral Biometrics, Cybersecurity, and Data Science. Notable contributions include studies on keystroke dynamics for authentication, phishing detection, and cybersecurity threats. He has received grants including an NSF award (Co-PI) for STEM education and multiple Best Paper Awards at IEEE conferences (2022, 2021, 2018, 2017).

Ali has authored/co-authored over 40 publications, including a book on wireless security and journals in Electronics, IEEE Transactions, and conference proceedings. His work spans fraud detection, healthcare analytics, and blockchain security. He has led presentations on topics like biometrics, neural networks, and cybersecurity at international venues such as CVCI, IVSP, and IEEE conferences.

• Education:
  • Ph.D., Computer Science, Pace University, New York
  • M.S., Electrical Engineering, Blekinge Institute of Technology, Sweden
  • B.S., Computer Science & Engineering, International Islamic University Chittagong

His grants include NSF funding for STEM education initiatives and a Rider University grant for online course development. He has collaborated on projects like CUE-T to broaden computing participation and enhance active learning strategies.

Ali’s lab focuses on cybersecurity, biometric systems, and machine learning applications. His research teams address challenges in fraud detection, medical diagnosis, and secure software development, reflecting his interdisciplinary approach to technological innovation.