Dr. Ghassan Zaki Qadah | American University of Sharjah
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Profile

College / Department

College of Engineering
Department of Computer Science and Engineering

Teaching areas

digital systems, C++ & Java programming, data-strucutres and algorithms, database systems, information retrieval and Information Technology for Engineering Managers.

Research areas

Traditional and non-traditional database systems, serial and parallel algorithms, information retrieval,data mining and machine learning in health informatics, and e-health.

Education

PhD, Computer Engineering, University of Michigan - Ann Arbor, United States, 1983
MS, Computer Engineering, University of Michigan - Ann Arbor, United States, 1977
BS, Electrical Engineering, Ain-Shames University, 1974

Professional experience

American University Of Sharjah, American University of Sharjah, United Arab Emirates, 2002 - Present
Senior Technology Advisor., Worldbank-funded Mission, Palestinian National Authority (PNA), 1997 - 2002
At&t And Lucent, Technologies Bell Labs, NJ, United States, 1991 - 1997
Northwestern University, Computer Engineering, Northwestern University, IL, United States, 1983 - 1991

Contact

[email protected]
+971 6 515 2913

Dr. Ghassan Zaki Qadah

Associate Professor

Ghassan Qadah has taught in computer science and engineering departments at institutions such as Northwestern University, the Swiss Federal Institute of Technology, Zurich and American University of Sharjah. He also worked at AT&T/Lucent Technologies Bell Labs. His area of research and teaching interests are programming, traditional and non-traditional database systems, serial and parallel algorithms, information retrieval, data mining and machine learning in health informatics. Dr. Qadah has served as a symposium chair, track chair and a member of technical program committees of internati...

Publications

Ghassan Qadah, Khouloud Eljil And Michel Pasquier. Predicting Hypoglycemia in Diabetic Patients Using Time-Sensitive Artificial Neural Networks, International Journal Of Healthcare Information Systems And Informatics, October (4th Quarter/Autumn) October (4th Quarter/Autumn) 2016
Khouloud Eljil, Ghassan Qadah And Michel Pasquier. Predicting Hypoglycemia in Diabetic Patients Using Time-Sensitive Artificial Neural Networks, International Journal Of Healthcare Information Systems And Informatics, October (4th Quarter/Autumn) October (4th Quarter/Autumn) 2016
Soha Ahmed, Michel Pasquier And Ghassan Qadah. Study in Conducting Sentiment Analysis on Arabic Social Media Text, Linguistica Communicatio, 2014
Khouloud Eljil, Ghassan Qadah And Michel Pasquier. Predicting hypoglycemia in diabetic patients using data mining techniques, March March 2013
Ghassan Qadah, Khouloud Eljil And Michel Pasquier. Predicting Hypoglycemia in Diabetic Patients Using Data Mining Techniques, March March 2013
Mahmoud Younes, Basma Almoshaigih, Michel Pasquier And Ghassan Qadah. A Sign Reading System for the Visually Impaired, February February 2011
Mahmoud Younes, Basma Almoshaigih, Michel Pasquier And Ghassan Qadah. A sign reading system for the visually impaired, February February 2011

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