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Samir E. Abdelrahman, M.Sc., Ph.D.

Languages spoken: English

Academic Information

Departments: Biomedical Informatics - Research Assistant Professor

Academic Office Information

Research Interests

  • Data Mining in Biomedical Informatics
  • Big Data Analytics
  • Visual Analytics
  • Predictive Analytics
  • Machine Learning
  • Information Retrieval
  • Information Extraction
  • Artificial Intelligence

Dr. Abdelrahman earned B.Sc. in Operations Research, and M.Sc, Ph.D. in computer science (artificial intelligence domain). He has trained as a research scholar in highly prestigious universities; namely the University of Minnesota at Twin Cities, Vanderbilt University, the University of Illinois at Urbana–Champaign, and the University of Utah. Since 2010, he has been a research scholar in biomedical informatics domain. He has conducted several predictive analytics projects at University of Utah Health Care to predict patient risk factors and outcomes in the areas of congestive heart failure readmissions, clinic appointment no-shows/last-minute cancellations, bleeding or readmission events following left ventricular assist device implantation, pneumonia mortality, and sepsis. Currently, Dr. Abdelrahman is a faculty at Cairo University (Egypt) and the University of Utah in computer science and biomedical informatics domains respectively.

Through his academic career, Dr. Abdelrahman taught several computer science courses such as artificial intelligence, machine learning, data mining, concepts of programming languages, programming in [C#, Java, Python, and declarative languages], data structures, algorithms, compilers, databases, and operating systems. He also mentored around 20 Ph.D./M.Sc. students and supervised over 15 undergraduate projects.

"Innovative computational solutions are acquired through successful collaborations among seniors, juniors, and scholars. My research analytics, programming skills, and industrial experience enable me to be hands-on with my students".

Research Statement

Dr. Abdelrahman main research interests are data mining, visual analytics, multi-agent, information retrieval, and information extraction using natural language processing and ontologies. His current research is directed to conduct advanced big data analytics and modeling to devise computational algorithms and frameworks for biomedical computing. These solutions primarily tackle clinical data analytics problems such as temporal behaviors, data heterogeneity (structured and free-text), missing data, imbalance, and sparseness. His research lab conducts intelligent computing projects of (1) data analytics for biomedical computing, and (2) computational algorithms for real-life applications.

For most recent updates and research directions, please visit Abdelrahman' homepage ( )

Education History

Research Fellow University of Utah
Biomedical Informatics
Postdoctoral Research Fellow
Research Fellow University of Illinois at Urbana-Champaign
Postdoctoral Research Fellow
Research Fellow Vanderbilt University
Biomedical Informatics
Postdoctoral Research Fellow
Doctoral Training Cairo University, Faculty of Computers and Information
Artificial Intelligence with parsing
Graduate Training Cairo University, Computer Science Department, Institute of Statistical and Science Research
Artificial Intelligence
Diploma Cairo University, Computer Science Department, Institute of Statistical and Science Research
Computer Science
Undergraduate King Saud University
Operations Research

Global Impact

Awards & Honors

Description Country
Second Honor Class, King Saud University, Riyadh, Saudi Arabia Saudi Arabia
Best Graduate Project, Information Technology Academia Collaboration. Project Title: Mobile Hiding Information Services Egypt
One of The Best Professors, Faculty of Computers and Information, Cairo University, Cairo, Egypt Egypt
Best University Graduate Project, Egyptian Computer Society. Project Title: The Collaborative Network Administrator Services Egypt
Best Graduate Project, Communication Ministry Best Faculty Graduate Project. Project Title: Mobile Web Services Next Generation Egypt


Date Role Description Country
03/29/2017 External Examiner PhD Thesis Examiner at the University of Adelaide; Engineering, Computer and Mathematical Sciences