Mir Riyanul Islam, Post Doc
Mir Riyanul Islam is a Postdoctoral Researcher working as a member of the Artificial Intelligence and Intelligent Systems group. His research interest lies over Theoretical Machine Learning and Learning Theory along with various intelligent applications built with technologies involving Artificial Intelligence.
He is involved in research and development since 2015 after completing his M.Sc. in Computer Science from American International University - Bangladesh. He completed his B.Sc. in Computer Science & Engineering from the same university in 2014.
Prior to his doctoral studies, Mir Riyanul Islam participated in active teaching as a Lecturer in the Department of Computer Science in the Faculty of Science & Technology at American International University - Bangladesh. He conducted several basic courses of Computer Science Domain like Introduction to Programming Language, Data Structure, Algorithms, Artificial Intelligence and Expert Systems, Concrete Mathematics, Object Oriented Analysis and Design etc.
Challenges and Future Directions for AI-based Systems for Remote Digital Towers (May 2026) Mir Riyanul Islam, Alexandre Veyrie , Shaibal Barua, Mobyen Uddin Ahmed, Shahina Begum, Christophe Hurter , Pietro Aricò International Conference on Modern Artificial Intelligence and Data Science Systems (MAIDSS26)
Enhancing Trust in AI for Remote Digital Towers: From Gap Analysis to Integration (Jan 2026) Sara Kebir , Alexandre Veyrie , Nicola Cavagnetto , Mobyen Uddin Ahmed, Shaibal Barua, Mir Riyanul Islam, Pietro Aricò , Christophe Hurter SESAR Innovation Days (SIDs) (SID2025)
A Multimodal Approach for Enhancing Decision Support in Remote Digital Tower (Oct 2025) Mobyen Uddin Ahmed, Shaibal Barua, Mir Riyanul Islam, Ricky Stanley D Cruze , Shahina Begum, Sara Kebir , Alexandre Veyrie , Christophe Hurter 2025 10th International Conference on Machine Learning Technologies (ICMLT 2025)
Privacy-preserving Ground-truth Data for Evaluating Additive Feature Attribution in Regression Models with Additive CBR and CQV (Oct 2025) Mir Riyanul Islam, Rosina O Weber , Mobyen Uddin Ahmed, Shahina Begum Knowledge-Based Systems (KBS)
Integration of Explainable Artificial Intelligence and Multimodal Machine Learning for Drivers’ Fitness (Oct 2025) Mobyen Uddin Ahmed, Arnab Barua, Mir Riyanul Islam, Shaibal Barua, Shahina Begum International conference on Advanced Machine Learning and Data Science (AMLDS 25)
A Theoretical Probabilistic Framework for Explaining Generative AI (Oct 2025) Shahina Begum, Shaibal Barua, Mobyen Uddin Ahmed, Mir Riyanul Islam International conference on Advanced Machine Learning and Data Science (AMLDS 25)