News
Updates on recent activities, achievements, and milestones.
2026
Guest Editor: Special Issue on “Hybrid AI and Blockchain Systems for Privacy-Preserving Data Sharing in Genomic Research” in IEEE Journal of Biomedical and Health Informatics (J-BHI).
Guest Editor: Special Issue on “Convergence of Blockchain and AIoT: Secure and Intelligent Systems” in Computers.
Listed in Top 2% Scientists in the World by Stanford/Elsevier, 2025. Ranked 5006 out of 343,394 Researchers in the field of "Energy".
Appointed Associate Editor of Blockchain Journal.
Concluded a 5-day NSF-sponsored workshop on Parallel and Distributed Computing Curriculum Adopters at the University of Massachusetts, Amherst.
Joined School of Computing at Montclair State University, NJ, USA, as an Assistant Teaching Professor.
Research paper "Fault prognosis of wind turbines using multimodal machine learning" published in Energy Reports.
Guest Editor: Special Issue on " Special Issue on "Applications of Artificial Intelligence in Smart Manufacturing" in CMC-Computers, Materials & Continua. (Closed: Jul 2025)
Joined Editorial Board of the Journal of Testing and Evaluation.
Listed in Top 2% Scientists in the World by Stanford/Elsevier, 2024. Ranked 2672 out of 206,482 authors in Networking & Telecommunications.
Research paper "Detecting Anomaly Classification using PCA-Kmeans and Ensembled Classifier for Wind Turbine" published in IEEE Open Access Journal of Power and Energy.
Guest Editor: Special Issue on "Leveraging Advanced AI for Smart and Sustainable Industry 4.0 Solutions" in Sensors. (Closed: Aug 2025)
Presented project "Private Blockchain-Enabled Federated Learning" at Purdue University.
Appointed as Editorial Board member of CMC-Computers, Materials & Continua.
Listed in Top 2% Scientists in the World by Stanford University, 2023.
Guest Editor: Special Issue on "Emerging Topics in Industrial IoT, Networks, and Machine Learning" in Electronics.(Closed Dec 2023)
Presented work at APMS2023 Conference in Trondheim, Norway.
Research paper "Optimized Dissolved Oxygen Concentration Prediction in Aquaculture using Aeration Machine Control and Machine Learning" published in IEEE Sensors Journal.
Research paper "Cause analysis of wind turbine blade failure using SCADA data and machine learning" published in Engineering Failure Analysis.
Joined West Virginia University as a Postdoc.
Joined Gachon University, South Korea, as an Assistant Professor (Research).
Received "Excellent Researcher Award" from Jeju National University for Outstanding Ph.D. Research.
Successfully defended Ph.D. dissertation titled "Multimodal Machine Learning Based Fault Detection And Classification For Wind Turbine Digital Twin."
Invited Speaker at CICT Virtual Research Cafe, WVSU, Philippines.