Prince Waqas Khan
Postdoctoral Researcher Industrial and Management Systems Engineering Department West Virginia University, Morgantown, WV, USA princewaqas.khan@mail.wvu.edu princewaqas.uaf@gmail.com
Biography
I am working in the team of Dr. Thorsten Wuest, as a postdoc
researcher at the Department of Industrial and Management Systems Engineering,
West
Virginia University, USA.
I received my master's degree in Computer Science from the
University of Agriculture Faisalabad, Pakistan, in 2017. Following that,
I pursued a Ph.D. degree at the Machine Learning Laboratory in the Department of
Computer Engineering, Jeju National University, Jeju, South Korea.
Previously, I served as an Assistant Professor at the School of Computing, Gachon University, South Korea, and worked as a Lecturer
for the Department of Computer Science at the University of Agriculture
Faisalabad. Additionally, I gained research experience as a Researcher
at the Chongqing Key Laboratory of Cyberspace and Information Security, Chongqing University of Posts and Telecommunications,
Chongqing, China. My research interests include the following areas
- AI & Machine Learning
- Renewable Energy
- Time Series Data
- Blockchain
- Internet of Things
- Smart Manufacturing
Experience
- Postdoctoral Researcher [07/2023 - ~]
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
- Oct 2024: Joined as a member of the Editorial Board of the Journal of Testing and Evaluation.
- Sep 2024: Listed in Top 2% Scientists in the World by Stanford/Elsevier, 2024. Ranked 2672 out of 206482 authors in the feild of Networking & Telecommunications.
- 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
- Aug 2024: Article entitled "Detecting Anomaly Classification using PCA-Kmeans and Ensembled Classifier for Wind Turbine" has been published in the IEEE Open Access Journal of Power and Energy
For older 'news', see [News Section]