Rate My Professor jafar alzubi

Jafar A. Alzubi is a Professor in the School of Engineering at Al-Balqa Applied University, Jordan, serving as Vice Dean of the Faculty of Engineering since 2023. He previously headed the Computer Engineering Department from 2013 to 2015 and has held positions including Associate Professor since 2021. His academic journey includes a BSc (Hons) in Electrical Engineering from the University of Engineering and Technology, Lahore, Pakistan (2001), an MSc in Electrical and Computer Engineering from New York Institute of Technology, USA (2005), and a PhD in Computer Engineering - Computer Networks Security from Swansea University, UK (2012). Alzubi began his career at Al-Balqa Applied University in 2002 as a Computer Engineer and Laboratory Supervisor, advancing to Full-time Lecturer in the School of Engineering from 2005 to 2008.

His research specializations encompass cyber security, machine learning, networks security, Internet of Things, artificial intelligence, classifications and detection of web scams, wireless sensor networks, and cryptography. With over seventy publications in high-impact journals, key works include "Exploring a Mesh-Hub-Based Wireless Sensor Network for Smart Home Electrical Monitoring" (Wireless Personal Communications, 2024), "Markov chain-based analysis and fault tolerance technique for enhancing chain-based routing in WSNs" (Concurrency and Computation: Practice and Experience, 2024), and "Battery Management Solutions for Li-Ion Batteries Based on Artificial Intelligence" (Ain Shams Engineering Journal, 2023). He has authored books such as Forward Error Correction Based On Algebraic-Geometric Theory (Springer, 2014), Deep Learning for Medical Decision Support Systems (Springer, 2020), and Smart Distributed Embedded Systems for Healthcare Applications (CRC Press, 2023). Alzubi is listed among the top 2% of scientists worldwide (Stanford University, 2022), holds Senior IEEE membership, and serves as editor and reviewer for journals including IEEE Access, Measurement: Sensors, and Future Generation Computer Systems. He has supervised theses and led projects like "Internet of Things Intrusion Detection: A Machine Learning Approach" (2022-2023).