Dr. Abdelkarim Erradi
Office: C07-132, Women’s Engineering Building
Qatar University, PO Box 2713 Doha Qatar
Phone: +974-4403-4254
erradi (at) qu.edu.qa

Biography

Abdelkarim Erradi is an Assistant Professor in the Computer Science and Engineering Department at Qatar University where he teaches and conducts research in the area of computer science, with specific interests in autonomic computing systems, self-managing systems, cloud security and cybersecurity. He has several NPRP funded projects in these areas. He has authored several scientific papers in international conferences and journals. Abdelkarim Erradi received his Ph.D. in computer science from the University of New South Wales, Sydney, Australia. Besides his academic experience, he possesses 12 years professional experience as a Designer and a Developer of large scale enterprise applications for leading corporations in Australia.

Education

– PhD in Computer Science (2004 – 2008) – School of Computer Science and Engineering, University of New South Wales (UNSW), Sydney, Australia

– Master of Science in Internetworking (2001 – 2003) – University of Technology Sydney (UTS), Sydney, Australia

– Software Engineering Diploma (1999 – 2001) – North Sydney Technical and Further Education (TAFE) Institute, Sydney, Australia

– Bachelor of Science in Informatics (1992 – 1996) – High Institute of Technology Oujda (ESTO) Morocco with one year as exchange student at the University of Ottawa, Canada

Research Interests

– Autonomic computing
– Web service technologies (WS-*, REST, Mashups, Cloud Services)
– Cloud Computing particular intrusion detection and prevention
– Risk and vulnerability analysis using attack modelling for Industrial Control Systems
– Security modeling and Analysis using analytic models, simulation, and controlled experiments
– Intrusion Detection and Prevention, Response techniques and systems

Acknowledgement

Visual Paradigm provides Qatar University with UML, BPMN, Project Management and EA tools under the Academic Training Partner Program