Haitham Tayyar
Adjunct Faculty,
Multidisciplinary Graduate Engineering Programs
Contact
- h.tayyar@northeastern.edu
- First Canadian Place, 100 King St. West, Suite 4620
Toronto, ON, M5X 1E2
About
Dr. Haitham Tayyar is a seasoned academic and industry professional with expertise in Electrical and Computer Engineering. He earned his Ph.D. in Electrical and Computer Engineering from the University of British Columbia in 2002, focusing on computer networks. He holds a Master of Science and a Bachelor of Science in Electrical Engineering, as well as a Bachelor of Science in Mathematics, all from King Fahd University of Petroleum and Minerals, graduating first in his class. His research interests span control systems, data networks, and communications.
Dr. Tayyar has held faculty positions at numerous prestigious institutions, including the University of Sharjah, the American University of Bahrain, and the Higher Colleges of Technology in the UAE, where he taught courses on topics like digital logic design, computer security, and embedded systems. He has also contributed to multiple academic committees, helping shape curriculum development and research initiatives.
In industry, Dr. Tayyar has worked as a software engineer with Spirent Communications and Nortel Networks, focusing on streaming media protocols and Quality-of-Service (QoS) for networking products. He holds multiple patents in the area of fair queuing schedulers and has published extensively in IEEE conferences and journals. His broad skill set includes programming languages such as C++, Python, and Verilog, along with expertise in AI, data science, and embedded systems development.
Selected Publications
- Weighted fair queuing scheduler, Inventors: Haitham F Tayyar, Hussein Alnuweiri, Publication date: 2008/12/2
- Analysis of virtual-time complexity in weighted fair queuing, Authors: Hussein Alnuweiri, Haitham Tayyar, Publication date: 2005/5/2
- A minimum-work weighted fair queuing algorithm for guaranteed end-to-end and quality-of-service in packet networks, Authors: Haitham Fahmi Tayyar, Publication date: 2002

Oct 16, 2025
New AI Tool Detects Sepsis Early
MGEN Teaching Professor Sergey Aitan has led a research project that has been working on developing an innovative medical tool using artificial intelligence that detects septic shock in the body.