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Seminar: Modeling Contagions on Large Networked Populations; Empowering Students and Researchers with Learning and Computing Resources

Sherif Abdelhamid

Assistant Professor, Arab Academy for Science, Technology, and Maritime Transport

Friday, April 24, 2020
10:00am - 11:00pm
(Zoom Only)

Sherif Abdelhamid


Network dynamics is a major interdisciplinary area within network science where students and researchers, from computer science and other domains, study different forms of processes in networked populations, such as the spread of emotions, influence, opinions, flu, ebola, and mass movements. These processes are often referred to as contagions. Contagions are increasingly studied because of their economic, social, and political impacts. Yet, learning and computational resources for studying network dynamics are largely dispersed and stand-alone. Furthermore, many students and researchers interested in the study of networks are not computer scientists. As a result, they may not have programming skills or easy access to computing and data resources. Even with the presence of skills or resources, it is sometimes challenging to install, build, and maintain software, especially on high-performance computers.

In the first part of the talk, I will focus on these challenges that create a barrier for students and researchers. I will give an overview of my research framework for modeling contagions on large networked populations. The framework consists of various systems and services that provide support for students and researchers at different stages of their research workflow.

In the second part of the talk, I will give an overview of my teaching experience, philosophy, curriculum improvements, and interests.

I will conclude my talk with a brief overview of my future research and teaching directions.


Dr. Sherif E. Abdelhamid serves as an Assistant Professor of Computer Science at the College of Computing and Information Technology (Arab Academy for Science and Technology - Smart Village Campus, Egypt). Before joining CCIT in 2018, he was an Infrastructure Software Engineer at the Center for Open Science, Virginia, USA. He received his Ph.D. and M.Sc. in Computer Science from Virginia Tech and M.Sc. and B.Sc. in Computer Science from the Arab Academy for Science and Technology (AAST).

His research work lies at the intersection of computation and education. In particular, he is interested in enriching the students’ learning environment through building and evaluating software systems and services that enable students, researchers, and educators to easily access and interact with various learning resources and perform large-scale data analyses and simulations.