Saeed Ullah

Saeed Ullah is a Lecturer in Data Services at the College of Science and Engineering. His work bridges technical and medical domains, with research contributions to cybersecurity, video streaming optimization, and public health analysis.

Research Interests:

• Technical: Machine Learning for Intrusion Detection, Information-Centric Networking, Scalable Video Coding, Device-to-Device Communication, Congestion Control, Network Caching
• Medical: Vision Impairment Epidemiology, Childhood Vaccination Trends, Diarrheal Disease Burden, Diabetes in Pregnancy, Cardiovascular Risk Assessment

Publication Trends: His recent work spans 2025 Global Burden of Disease studies (vision impairment, vaccination coverage, diarrheal diseases) and 2024–2019 contributions to IoT security, video caching, and clinical medicine. Technical publications focus on ensemble models, D2D networks, and Named Data Networking, while medical works emphasize epidemiological modeling and systematic reviews.