Muhammad Hataba

Dr. Hataba a dedicated researcher and educator specializing in cybersecurity, software engineering, AI and cloud computing, with over 15 years of experience. Holding Ph.Ds., an M.Sc., and a B.Sc. in Computer Science and Engineering, he has taught several courses domestically and abroad from undergraduate level to graduate level students and gave professional engineering training on a variety of topics in the field. Moreover, he has gained culturally diverse experience engaging with international students, colleagues and faculty and collaborated with renowned world-class experts from different countries in 4 continents to develop cutting-edge security solutions. His research work spans secure compilation, obfuscation techniques, privacy-preserving authentication, cryptography and data encryption, blockchain technologies and AI-driven threat analysis, with applications in autonomous vehicles, smart grids, distributed systems, and embedded systems. He has an extensive publication record in high-impact venues, a strong background in parallel programming, algorithm optimization, natural language processing, machine learning and deep learning, and a proven track record in mentoring, teaching, and research leadership.Dr. Hataba a dedicated researcher and educator specializing in cybersecurity, software engineering, AI and cloud computing, with over 15 years of experience. Holding Ph.Ds., an M.Sc., and a B.Sc. in Computer Science and Engineering, he has taught several courses domestically and abroad from undergraduate level to graduate level students and gave professional engineering training on a variety of topics in the field. Moreover, he has gained culturally diverse experience engaging with international students, colleagues and faculty and collaborated with renowned world-class experts from different countries in 4 continents to develop cutting-edge security solutions. His research work spans secure compilation, obfuscation techniques, privacy-preserving authentication, cryptography and data encryption, blockchain technologies and AI-driven threat analysis, with applications in autonomous vehicles, smart grids, distributed systems, and embedded systems. He has an extensive publication record in high-impact venues, a strong background in parallel programming, algorithm optimization, natural language processing, machine learning and deep learning, and a proven track record in mentoring, teaching, and research leadership.