Explanation Ontology: A General-Purpose, Semantic Representation for Supporting User-Centered Explanations
Shruthi Chari, Oshani Seneviratne, Mohamed Ghalwash, Sola Shirai, Daniel M Gruen, Pablo Meyer, Prithwish Chakraborty, Deborah L McGuinness
Mohamed Ghalwash is an Associate Professor of Artificial Intelligence at Ain Shams University and Zewail City of Science, Technology, and Innovation. His research focuses on interpretable machine learning for spatio-temporal pattern discovery, with applications in healthcare analytics, health behavior modeling, and decision support, drawing on prior research leadership at IBM and Temple University. He has supervised eight postgraduate students across Ain Shams University and Zewail City, with thesis topics spanning security applications, Bayesian structure learning, and explainable AI, and currently serves as co-PI on a three-year STDF-funded grant (2026–2029, 2,700,000 LE) developing AI-driven immunoinformatics approaches for Foot-and-Mouth Disease vaccine design.
Alongside his academic research, he brings more than ten years of software engineering leadership across senior roles at IBM, Proteinea, Raya Software, and Asset Technology Group, spanning technical team leadership, software architecture, and large-scale enterprise system delivery. This engineering background has also shaped his applied research, extending into machine learning for security and biotech domains, including cryptanalysis and AI-driven vaccine design.
PhD in Machine Learning
2009-2013
Temple University, USA
BSc in Pure Mathematics and Computer Science
1994-1998
Ain Shams University, Egypt
Shruthi Chari, Oshani Seneviratne, Mohamed Ghalwash, Sola Shirai, Daniel M Gruen, Pablo Meyer, Prithwish Chakraborty, Deborah L McGuinness
Brigitte I. Frohnert, Mohamed Ghalwash, Ying Li, Kenney Ng, Jessica L. Dunne, Markus Lundgren, William Hagopian, Olivia Lou, Christiane Winkler, Jorma Toppari, Riitta Veijola, Vibha, Anand, the T1DI Study Group
Shruthi Chari, Prasant Acharya, Daniel M. Gruen, Olivia Zhang, Elif K. Eyigoz, Mohamed Ghalwash, Oshani Seneviratne, Fernando S. Saiz, Pablo Meyer, Prithwish Chakraborty, Deborah L. McGuinness
Editorial Board Member
Session Chair
PC Member
Reviewer
Ad-hoc Reviewer
Feature Extraction for Electroencephalogram Signals Classification
Faculty of Science - Ain Shams University
Cryptanalysis using Machine Learning
Faculty of Science - Ain Shams University
Intelligent Learning Models for Steganography
Faculty of Science - Ain Shams University
Development of a New Circular-Linear Distribution for Structure Learning in Bayesian Networks
Faculty of Science - Ain Shams University
Distributed Concept Localization in Images
Faculty of Engineering - Ain Shams University
Machine Learning for Side Channel Attacks
Faculty of Science - Ain Shams University
School of Computational Sciences and Artificial Intelligence, Zewail City of Science, Innovation, and Technology
Proteinea
IBM T.J. Watson Research Center
Faculty of Science, Ain Shams University
IBM T.J. Watson Research Center
Center for Data Analytics and Biomedical Informatics, Temple University
Faculty of Science, Ain Shams University
Center for Data Analytics and Biomedical Informatics, Temple University
Center for Data Analytics and Biomedical Informatics, Temple University
Department of Computer and Information Science, Temple University, USA
Asset Technology Group
Raya Software
Nile Soft
Allied Consultant
Faculty of Science, Ain Shams University
Temple University, USA
Ain Shams University, Egypt

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STDF · 2026 - 2029
PI: Mohamed Hassan · Co-PI: Mohamed Ghalwash
El-Khalifa El-Maamoun
El Weili, Cairo 4392001
Egypt
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