| Title | Assistant Professor |
|---|---|
| Department | Computer Science |
| Office | Meier Hall 208A |
| Phone | 978.542.4240 |
| ihab.agha@salemstate.edu |
| CSC 315A | Computer Networks and Data Communications |
|---|---|
| ITE 215 | Computer Networks |
| ITE 315 | Information Security |
| ITE 320 | Information Management Systems |
| ITE 345 | Digital Forensics Tools and Techniques |
| ITE 501 | Information Technology Capstone Project Specification |
| ITE 505 | Information Technology Capstone Project |
Ihab A. Agha, Ph.D., FHEA, MCCE, CCNA
www.iagha.com
Dr. Ihab A. Agha is an Assistant Professor in the Computer Science and Information Technology Department at Salem State University (Massachusetts, USA). A Fellow of the Higher Education Academy (FHEA), he holds a Ph.D. in Computer Science from Université Bourgogne Franche-Comté (UBFC/UTBM), a Master of Science in Computer and Communication Engineering, and a Bachelor of Science in Computer Engineering from the Lebanese International University (LIU).
Before joining Salem State University, Dr. Agha served as a Module Leader and Lecturer at Coventry University (UK), hosted by The Knowledge Hub Universities in Cairo, Egypt, where he led cybersecurity and computing modules and supervised numerous student research projects. He also spent over a decade at the Lebanese International University (LIU), serving as a Course Coordinator, Lecturer, Academic Advisor, Cisco Certified Instructor, IT Coordinator, and Staff Development Coordinator.
Dr. Agha’s expertise spans cybersecurity, digital forensics, computer networking, machine learning, and data science. His technical skill set includes proficiency in Python, C++, Java, SQL, TensorFlow, Keras, Wireshark, GNS3, OMNet++, and Autopsy, among others.
His research interests focus on artificial intelligence applications in cybersecurity, network security, and natural language processing, with publications including “Detecting Impersonation in Social Media: An NLP and Machine Learning Perspective” (IEEE IICAIET 2025) and “A Physiological Approach for Minimizing Dead Reckoning Velocity Readings Drifts” (SSRN, 2018).
A recipient of multiple teaching and service awards, Dr. Agha has made significant contributions to ABET accreditation processes, curriculum development, and faculty mentoring. He also serves as a reviewer for IEEE Access and IEEE Transactions on Instrumentation.
Awards & Recognition
Upsilon Pi Epsilon Faculty Member Honor (2024) – The Delta Chapter of Massachusetts, recognizing academic excellence and contribution to the computing discipline.
Cisco Networking Academy Awards – Honored for five years of active participation and dedicated service (2019), and for advanced-level instructor excellence (2015).
Lebanese International University Awards (2015–2017) – Multiple distinctions for outstanding performance and service: Award of the Year (2017), Icon of Devotion (2017), and Appreciation Awards (2015–2016), recognizing continuous dedication and contribution to the university’s mission.
Beyond academia, Dr. Agha is a YouTube content creator dedicated to open-access education in computer science and engineering. His channel @iagha offers practical tutorials and academic content to empower students and professionals in the field.
Biking, Snowboarding, Hiking, and Cooking.