2020 IEEE 7th International Conference on Energy Smart Systems (ESS) · 2020
Cited
8
Resume (English only)
Academic Achievements
Authored numerous peer-reviewed research papers and actively engages in public and professional service contributing to academic conferences.
Research Experience
Associate Professor at the Department of Information Technology since Sept. 2013. Over 15 years of academic experience and over five years of industrial experience as a Data Scientist, contributing to the R&D of AI, DS, and ML/DL tools and services, including MLOps and cloud deployment.
Education
PhD in Engineering (Computer Systems and Components) since July 2009; Associate Professor (Computer and Software Engineering) since Nov. 2012.
Background
Research interests include Machine Learning-based Digital Signal Processing approaches to optimize the efficiency of the Physical Layer in Digital Data Communications, Software Defined Radio, Software Defined Networks, quantum ML algorithms, and AI-driven models for autonomous mobile robotics. He is an expert in teaching AI, Data Science, and Machine/Deep Learning, demonstrating exceptional proficiency and commitment.