I enjoy teaching courses in the field of computer science and data science such as machine learning, data mining, computer networks, data structures and algorithms and programming using Python. In my courses, studentsundertake a number of projects to gain knowledge, acquireproblem solving skills, learn to collaborate with others, and develop the flexible professional skills that are required for work in the computer science field.
Many senior and junior-year students work with me in my research on machine learning, data mining, data fusion, biometrics, and digital image processing. Currently I am working on three different projects. In the first project, we employ deep learning machine techniques and federated learning to develop a classifier for certain diseases. In the second project, we employ machine learning techniques and image processing techniques to develop a fully automated classifier to extract and predict circular atmospheric patterns to have more understanding of global climate change. In the third project, we use transfer learning techniquesin Internet of Things (IoTs) applications.
In my social life, I like spending time with my family, watching movies and basketball, and cooking food.
Bachelor of Engineering in Electrical Engineering, Damascus University
Master of Engineering in Computer Engineering, Stevens Institute of Technology
PhD in Computer Engineering, West Virginia University
Introduction to Object Oriented Programming
Threads and Operating Systems
Data Structure and Algorithms
Introduction to Computer Hardware
Computer Architecture
Computer Networks
Mobile Applications
Eyad’s research includes topics in biometrics, digital image processing, medical imaging, data mining and data fusion to develop fully automated systems for identification, prediction and classification purposes. More specifically, He worked in development of fully Automated Dental Identification System (ADIS) with goals and objectives similar to Automated Fingerprints Identification System (AFIS) but using dental characteristics extracted from dental x-rays images instead of fingerprints. He also worked to develop new tools that help in understanding climate change and predict future disasters related to weather, such as hurricanes and forest fires. In addition, he worked in development of prediction based methods to compare (and fuse) two sources of satellite data that have different modalities and characteristics. Eyad taught several course in the field of computer science and he has experience in ABET accreditation.
Sameh S. Ahmed, Yousef H. Okour, Eyad Haj Said, “A Methodology Based on Advanced Modeling Techniques for Groundwater Monitoring and Management-Part A, International Journal for Research and Development in Technology, Volume-3,Issue-1, Jan 2015, ISSN (O) :- 2349-3585
Mohamed Gebril, Eric Kihn, Eyad Haj Said, and Abdollah Homaifar, “Detecting Environmental Change Using Self-Organizing Map Techniques Applied to the ERA-40 Database” Data Science Journal, vol. 10 (2011) pp.1-12
Eyad Haj Said, Diaa Nassar, Gamal Fahmy, and Hany Ammar , “ Teeth Segmentation in Digitized Dental X-Rays Films using Mathematical Morphology” IEEE Transactions on Information Forensics and Security, Vol. 1, No. 2, June 2006.
Fahmy, D. Nassar, E. Haj Said, H. Ammar, M. Abdel-Mottaleb, H. Chen, and A. Jain, “Toward an Automated Dental Identification System”, Journal of Electronic Imaging, Vol. 14, No. 4, 2005.
