Staff Profile List
Prof. Mohamed Ismail Roushdy
Biography
Prof. Dr. Mohamed Ismail Roushdy received his Ph.D. in 1993, M.Sc. degree in 1984 and B.Sc. degree in 1979 from the Faculty of Science, Ain Shams University. His experimental doctoral research work was conducted at Bochum University in Germany during 1989-1991. He is a Professor of Computer Science since 2007 and Dean of the Faculty of Computer and Information Sciences, Ain Shams University, Cairo, Egypt since 2010 till 2018 and Dean of Faculty of Computer and Information Technology, Future University in Egypt from 2019 till 2023 and Dean of Faculty of Computer and Information Technology, Innovation University from 2024 till 2025 as sabbatical. Now he is working as an Emeritus Professor in Computer Science Department, Faculty of Computer & Information Sciences, Ain Shams University as a permanent Job. Also, he is working as Rapporteur of the Scientific Committee for Promotion of Professors and Associate Professors in Computer Science and Information at the Supreme Council of Egyptian Universities from 1/10/2025 till now. He was awarded Ain Shams University Appreciation Award in Technological Sciences (Year 2019) His areas of research are Artificial Intelligence, Knowledge engineering, Machine Learning, Expert Systems, Medical Informatics, Image Processing, Pattern Recognition, Biometrics. He published more than 160 scientific papers in International Journals, International Conferences and Book Chapter. He has been involved in more than 50 conferences and workshops as a Keynote speaker, member of several international program committees, organizer and session chair.
- Faculty: Faculty of Computer and Information Sciences
- Department: Department of Computer Science
- General Specialization : Computer Science
- Specialization: Artificial intelligence
- Degree: Emeritus Professor
- Current Status: In Working
- Official Email: mroushdy@cis.asu.edu.eg
- Google Scholar: Google Scholar Link
- Research Gate: Research Gate Link
- Scopus: Scopus Link
- H-index: 17
- Orcid: https://orcid.org/0000-0002-9655-3229
- Research Fields: Artificial Intelligence, Image Processing, Pattern Recognition, Biometrics, Medical Data Mining and Expert Systems s.
- CV: Download CV
My Statistics
Scientifc Research Portal
Citations
Awards
Research Citations Chart
Education
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- Bachelor
- 1979
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- Master
- 1984
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- Phd
- 1993
- Remote Sensing by Electromagnetic Waves Using the Concept of Tomography
Career Progression
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- Dean of the Faculty
- Year : 2010
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- Faculty vice for Education and Student Affairs
- Year : 2009
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- Professor
- Year : 2007
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- Associate Professor
- Year : 2000
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- Lecturer
- Year : 1993
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- Assistant Lecturer
- Year : 1984
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- Teaching Assistant
- Year : 1979
Workshops
Conferences
“Machine Learning Approaches for Detecting Lung Cancer: A Review”, 12th IEEE International Conference on Intelligent Computing and Information Systems ICICIS 2025, pp. 601-607.
“TL-IDS: A Transfer Learning Technique for Botnet Detection in IoT”, 6th International Conference on Computing and Informatics (ICCI), 6-7 March 2024, pp. 315 – 321.
“O-glycosylation Site Prediction Using Randome Forest Importance and Support Vector Machine”, 2022 IEEE 3rd International Conference on System Analysis & Intelligent Computing (SAIC), pp.84-88.
"Road Network Extraction from Satellite Images: A Comparative Study”,Middle-East Geoscience and Remote Sensing Symposium (M2GARSS), 2022, 46-49.
“Shallow And Deep Learning In Footstep Recognition: A Survey”, 5th International Conference on Computing and Informatics (ICCI’2022) IEEE, pp. 364 - 368.
“Predicting Banking Customer Churn based on Artificial Neural Network”, 5th International Conference on Computing and Informatics (ICCI’2022) IEEE, pp. 132 – 139.
“A Survey on Learning-Based Intrusion Detection Systems for IoT Networks”, Salma Abdelhamid,Mostafa Aref, Islam Hegazy, Mohamed Roushdy,10th IEEE International Conference on Intelligent Computing and Information Systems, Cairo, Egypt, December 5-6, 2021, pp. 284-295.
"A Hybrid Mutual Information-LASSO-Genetic Algorithm Selection Approach for Classifying Breast Cancer”, “Digital Transformation Technology”, Proceedings of ITAF 2020 (Internet of Things: Applications & Future 2020), Springer, Part of Lecture Notes in Networks and Systems Volume 224, pp. 547-560.
"Deep Learning Architectures For Aided Melanoma Skin Disease Recognition: A Review ”, International Mobile, Intelligent, and Ubiquitous Computing Conference (MIUCC 2021), pp. 324-329.
“Artificial Intelligence for Glycation Site Prediction”, ICTF 2020, IEICE Information and Communication Technology Forum, 10-12 of September 2020, DOI:10.34385/proc.64.ICTF2020_paper_16
“Computational Intelligence for Financial Fraud Detection under Internet of Things Environment: Techniques, Opportunities and Challenges”, ICTF 2020, IEICE Information and Communication Technology Forum, 10-12 of September 2020, DOI:10.34385/proc.64.ICTF2020_paper_18
“Improving the Design of Convolution Neural Network Architecture: Enhancement Methods, Applications and Challenges”, and Abdel-Badeeh M. Salem, Proceeding of the 10th International Conference on Applied Internet and Information Technologies AIIT 2020 Conference, pp. 289-295.
ASU Awards
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2018
Award: Ain Shams Appreciation Award
- Provider: Ain Shams University
- Field: Technological sciences
- Category: Ain Shams Appreciation Award
Scientifc Research Portal (184)
| Journal Name | Published Date | Sector | Journal Website | ISSN |
|---|---|---|---|---|
| Big Data and Cognitive Computing | 2024-09-09 | Engineering And Technology | Journal Website | 2504-2289 |
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