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.
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)
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 - Computing and Artificial Intelligence (Special Issue: Explainable Artificial Intelligence (XAI)) (ApplSci XAI)
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 - Computing and Artificial Intelligence (Special Issue: Explainable Artificial Intelligence (XAI)) (ApplSci XAI)
Local and Global Interpretability using Mutual Information in Explainable Artificial Intelligence (Nov 2021) Mir Riyanul Islam, Mobyen Uddin Ahmed, Shahina Begum The 8th International Conference on Soft Computing & Machine Intelligence (ISCMI 2021)
Study on Human Subjects - Influence of Stress and Alcohol in Simulated Traffic Situations (Jul 2021) Mobyen Uddin Ahmed, Mir Riyanul Islam, Shaibal Barua, Bertil Hök, Emma Jonforsen , Shahina Begum Open Research Europe (ORE)
A Novel Mutual Information based Feature Set for Drivers’ Mental Workload Evaluation using Machine Learning (Aug 2020) Mir Riyanul Islam, Shaibal Barua, Mobyen Uddin Ahmed, Shahina Begum, Pietro Aricò , Gianluca Borghini , Gianluca Di Flumeri Brain Sciences (Special Issue: Brain Plasticity, Cognitive Training and Mental States Assessment) (Brain Sci)
|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||active|