Mir Riyanul Islam is a Doctoral Student 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.
Interpretable Machine Learning for Modelling and Explaining Car Drivers' Behaviour: An Exploratory Analysis on Heterogeneous Data (Feb 2023) Mir Riyanul Islam, Mobyen Uddin Ahmed, Shahina Begum 15th International Conference on Agents and Artificial Intelligence (ICAART2023)
Usage of more transparent and explainable conflict resolution algorithm: air traffic controller feedback (Oct 2022) Christophe Hurter , Augustin Degas , Arnaud Guibert , Nicolas Durand , Mir Riyanul Islam, Shaibal Barua, Mobyen Uddin Ahmed, Shahina Begum, Stefano Bonelli , Giulia Cartocci , Gianluca Di Flumeri , Gianluca Borghini , Pietro Aricò , Fabio Babiloni Conference of the European Association for Aviation Psychology (EAAP22)
When a CBR in Hand is Better than Twins in the Bush (Sep 2022) Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum, Mir Riyanul Islam, Rosina O Weber Fourth Workshop on XCBR: Case-Based Reasoning for the Explanation of Intelligent Systems (XCBR)
Transparent Artificial Intelligence and Automation to Air Traffic Management Systems: Conflict Detection and Resolution (Aug 2022) Christophe Hurter , Augustin Degas , Mir Riyanul Islam, Shaibal Barua, Hamidur Rahman, Minesh Poudel , Daniele Ruscio , Mobyen Uddin Ahmed, Shahina Begum, Md Aquif Rahman, Stefano Bonelli , Giulia Cartocci , Gianluca Di Flumeri , Gianluca Borghini , Pietro Aricò , Fabio Babiloni International Conference on Cognitive Aircraft Systems ICCAS (ICCAS2022)
A Systematic Review of Explainable Artificial Intelligence in terms of Different Application Domains and Tasks (Jan 2022) Mir Riyanul Islam, Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum Applied Sciences (ApplSci)
A Survey on Artificial Intelligence (AI) and eXplainable AI in Air Traffic Management: Current Trends and Development with Future Research Trajectory (Jan 2022) Augustin Degas , Mir Riyanul Islam, Christophe Hurter , Shaibal Barua, Hamidur Rahman, Minesh Poudel , Daniele Ruscio , Mobyen Uddin Ahmed, Shahina Begum, Md Aquif Rahman, Stefano Bonelli , Giulia Cartocci , Gianluca Di Flumeri , Gianluca Borghini , Fabio Babiloni , Pietro Aricò Applied Sciences (ApplSci)
|ARTIMATION :TRANSPARENT ARTIFICIAL INTELLIGENCE AND AUTOMATION TO AIR TRAFFIC MANAGEMENT SYSTEMS||active|
|BRAINSAFEDRIVE: A Technology to detect Mental States During Drive for improving the Safety of the road||active|
|SimuSafe : Simulator of Behavioural Aspects for Safer Transport||finished|