Biography
Dr. Ali Ibrahim Siam is an Assistant Professor in the College of Computer Science at Umm Al Quwain University. His academic and professional interests span artificial intelligence, machine learning, cybersecurity, intelligent systems, and data-driven applications. He is actively involved in teaching, research, curriculum development, and academic quality assurance, with a particular interest in applying emerging computing technologies to real-world challenges.
Prior to joining Umm Al Quwain University, Dr. Siam held academic and research positions at the University of Sharjah in the UAE and Kafrelsheikh University in Egypt. His previous academic experience includes teaching and supervising students in computing and artificial intelligence-related disciplines, as well as contributing to academic and curriculum development activities.
Dr. Siam's research focuses on the development of intelligent and explainable machine learning and deep learning approaches for applications in areas such as cybersecurity, computer vision, healthcare, transportation, environmental prediction, and industrial systems. His research work emphasizes the development of practical, data-driven solutions while incorporating explainability and robust evaluation into intelligent systems. His publications have appeared in international peer-reviewed journals and conferences, and he contributes regularly to the academic community through research review and scholarly activities.
At Umm Al Quwain University, Dr. Siam contributes to the development and delivery of computing programs and courses, including subjects related to digital systems, programming, artificial intelligence, and cybersecurity. He is also involved in curriculum development, program assessment, accreditation activities, and the integration of emerging technologies into computing education.
Dr. Siam has served on academic and quality assurance committees and has contributed to curriculum development and program evaluation at both institutional and external levels. His professional activities also include evaluating student capstone projects, reviewing academic programs and curricula, and collaborating with academic and industry stakeholders to strengthen the connection between higher education and professional practice.
His academic philosophy emphasizes combining strong theoretical foundations with practical learning, problem-solving, innovation, and the responsible application of emerging technologies. Through his teaching, research, and academic service, he aims to contribute to the development of highly skilled computing graduates who are prepared to address evolving technological and societal challenges.
Terminal Degree: Ph.D. in Electronics and Electrical Communications Engineering, Menoufia University (Egypt), 2021.