Prince Waqas Khan
Assistant Teaching Professor
School of Computing,
College of Science and Mathematics,
Montclair State University, NJ, USA
khanp[at]montclair.edu
MSU Faculty Profile
Biography
I am an Assistant Teaching Professor at the School of Computing, Montclair State University specializing in AI, machine learning, and smart manufacturing. I am committed to mentoring students and fostering a dynamic learning environment that encourages curiosity, creativity, and critical thinking. My academic journey has taken me through research and teaching positions in the USA, South Korea, China, and Pakistan, where I have developed a passion for interdisciplinary innovation. I focus on bridging advanced computational methods with real-world industrial applications, and I actively collaborate with international teams to drive impactful research. My research interests include:
- AI & Machine Learning
- Blockchain
- Time Series Data
- Renewable Energy
- Internet of Things
- Smart Manufacturing
Experience
- Assistant Teaching Professor [01/2025 - ~]
Montclair State University, NJ, USA - Postdoctoral Researcher [07/2023 - 12/2024]
West Virginia University, Morgantown, WV, USA - Assistant Professor (Research) [04/2023 - 06/2023]
Gachon University, Seoul, South Korea - Researcher [09/2018 - 08/2019]
Chongqing University of Posts and Telecommunications, Chongqing, China - Web Developer [04/2015 - 06/2018]
University of Agriculture, Faisalabad, Pakistan
Recent News
- Aug 2025: Appointed Associate Editor of Blockchain Journal.
- Jul 2025: Concluded a 5-day NSF-sponsored workshop on Parallel and Distributed Computing Curriculum Adopters at the University of Massachusetts, Amherst. Insightful experience connecting with educators and PDC experts; details at https://tcpp.cs.gsu.edu/curriculum/?q=NSF_Cybertraining.
- Jan 2025: Joined School of Computing at Montclair State University, NJ, USA, as an Assistant Teaching Professor in Spring 2025.
- Dec 2024: Research paper "Fault prognosis of wind turbines using multimodal machine learning", co-authored with Professor Yung-Cheol Byun, has been published in Energy Reports (Elsevier). Another paper, "Recent advances and applications of machine learning in the variable renewable energy sector," co-authored with Subhajit Chatterjee and Professor Yung-Cheol Byun, has also been published in the same journal.
- CFP: As Guest Editor of the Special Issue on "Applications of Artificial Intelligence in Smart Manufacturing" in the journal CMC-Computers, Materials & Continua, I would like to invite you to submit a manuscript for consideration and possible publication. [Submit] Deadline: 01 July 2025
For older 'news', see [News Section]