Master’s in Applied Artificial Intelligence

Dr. Khald Aboalayon is the academic director of the MS in Data Analytics Program at Clark University and holds a Ph.D. in Computer Science and Engineering from the University of Bridgeport. His research focuses on applying Machine Learning and Statistical methods to develop advanced Signal Processing models, with an emphasis on bio-physiological signals and healthcare systems. His research aims to address real-world challenges and enhance systems primarily serving human health needs. With extensive experience in AI and data analytics, he teaches Applied Machine Learning, Linear Regression & Time Series courses, and supervise capstone projects, guiding students in solving practical real-world problems.

Dr. Ahmed El-Sayed received a Ph.D. in Computer Engineering from the University of Bridgeport, Bridgeport. Currently, he is Associate Professor of Electrical and Computer Engineering, at the University of Bridgeport, and Lecture of Applied Machine and Deep Learning at the School of Professional Studies (SPS) at Clark University. He is a member of the Honor Society of Phi Kappa Phi, the Honor Society for Computing, and Information Disciplines Upsilon Pi Epsilon (UPE), the Computer Vision Foundation (CVF), ASEE, ACM, and IEEE. He published papers in the fields of machine learning, robotics, soft computing, and computer vision. His research interests include autonomous systems, artificial intelligence, deep learning, soft computing, machine learning, and computer vision.

Dr. Emre Tokgoz completed two independent Ph.D. degrees (one in mathematics and another one in Industrial Engineering) in the U.S. and four master’s degrees (one M.S. in mathematics, one M.A. in mathematics, one M.S. in computer science, and another M.S. in Engineering Management with Biomedical Engineering concentration). He has more than 14 years of professorship experience by teaching and conducting research as a professor of Mathematics, Computer Science, Industrial Engineering, and cybersecurity related programs. He has extensive Artificial Intelligence experience in both real-life settings and research-based theoretical work. His active research areas with peer-reviewed publications include Artificial Intelligence theory and practice, optimization, aerospace/engine design advancement and development, network security, cryptography, systems’ design and improvements, STEM education, biomedical engineering, supply chain, transportation, and systems’ design and improvement. He has five published books with Springer publishing house and more than 90 peer-reviewed articles and book chapters.