Professor Sherief Abdallah

I am also interested in applying the techniques I have devloped in realistic settings that span over interdisciplinary areas, including atmospheric studies, e-commerce, information retrieval, mobile devices, sensor nets, and network management.

His research focuses on developing reinforcement learning algorithms that are scalable and have some guarantee of convergence in a multi-agent context. He is also interested in applying data mining techniques to real and novel problems, including mobile devices, network management, and information retrieval. He collaborated with world-class researchers in the United States, South America, and Europe. He worked on research projects funded by the National Science Foundation (USA), some of which involved hundred researchers from interdisciplinary areas.

Degrees/Professional Qualifications

1. PhD in Computer Science University of Massachusetts, Amherst
2. MS in Computer Science University of Massachusetts, Amherst
3. MS in Computer Engineering, Cairo University, Egypt
4. BSc in Computer Engineering, Cairo University, Egypt