May 2024: Presented our upcoming project
"Private Blockchain-Enabled Federated Learning Framework for Distributed Manufacturing Networks"
at the Purdue University. Mar 2024: Appointed as a member of Editorial Board of CMC-Computers, Materials & Continua JournalOct 2023: Listed in Top 2% Scientists in the World by Stanford University, 2023 CFP: As Guest Editor of the Special Issue on "Emerging Topics in Industrial IoT, Networks, and Machine
Learning" in the journal
Electronics , I would like to invite you to submit a manuscript for consideration and possible
publication. [Submit closed Sep 2023: Presented our work titled
"Towards Industry 5.0: Empowering SMEs with Blockchain-Based Supplier Collaboration Network"
at the APMS2023 Conference in Trondheim, Norway. Jul 2023: Article entitled "Optimized Dissolved Oxygen Prediction Using Genetic
Algorithm and Bagging Ensemble Learning for Smart Fish Farm " has been
published in "IEEE Sensors Journal." Jun 2023: Article entitled "Fault detection of wind turbines using SCADA data and
genetic algorithm-based ensemble learning" has been published in
"Engineering Failure Analysis" journal. Jun 2023: Joined West Virgina University as a Postdoc. Apr 2023: Joined as an Assistant Professor (Research) at Gachon University, South Korea. Feb 2023: Received "Excellent Researcher Award" Jeju National University, for Outstanding Ph.D. Research. Nov 2022: Successfully defended my Ph.D. dissertation titled "Multimodal Machine Learning Based Fault Detection And Classification For Wind Turbine Digital Twin." Oct 2021: Invited Speaker at CICT Virtual Research Cafe - Research Problem Generation for New and Emerging ICT Research Areas, WVSU, Iloilo City, Philippines.
