معرفی
Hazem Abbas is a Continuing Adjunct Professor at Queen’s University’s School of Computing within the Faculty of Arts and Science. His research focuses on machine learning, neural computing, and their applications in computer vision, image processing, and natural language processing. He holds a Ph.D. in Electrical and Computer Engineering from Queen’s University and has held leadership roles, including Department Chair at Ain Shams University and Dean of Media and Engineering Technology at the German University in Cairo.
Education:
- B.Sc. and M.Sc. in Computer Engineering, Ain Shams University, Cairo, Egypt
- Ph.D. in Electrical and Computer Engineering, Queen’s University, Canada
Research Interests:
- Machine learning model development
- Neural computing for computer vision and NLP
- Evolutionary algorithms in neural network design
- Systems and networks optimization
His recent articles explore topics like large language models, federated learning, 5G networks, and bioinformatics applications. Notable contributions include frameworks for robust visual tracking and secure vehicular networks.
Scientific Awards:
- Senior Member, IEEE
Prof. Abbas has collaborated on grants related to cloud computing optimization and neural cryptography. He chairs IEEE Signal Processing and IAPR Technical Committees, reflecting his leadership in pattern recognition research. His work spans lab initiatives in analog layout automation and cybersecurity for IoT systems.
