Mohammad Mominur Rahman
Ph.D. in CSE Department,
Hamad Bin Khalifa University, Qatar.
I'm currently pursuing my Ph.D. in Computer Science and Engineering at Hamad Bin Khalifa University, Doha, Qatar, focusing on the intersection of advanced Explainable AI (XAI) and Human-Computer Interaction.
With a diverse research background spanning Electric Vehicle grid integration with Renewable Energy and Nanomaterials like Phase Change Material and Cadmium Selenium Quantum Dots Solar Cells, I am dedicated to shaping the future of AI towards responsible and trustworthy systems.
My research ethos revolves around bridging emerging AI techniques with user-centered design principles to craft AI solutions that not only excel in performance but also prioritize ethical considerations. Through meticulously designed experiments and quantitative research, I strive to pave the way for Human-Centered AI that benefits society while mitigating potential risks.
Publications
Electric vehicles standards, charging infrastructure, and impact on grid integration: A technological review, HS Das, MM Rahman, S Li, CW Tan, Renewable and Sustainable Energy Reviews 120, 109618
"Comparative Analysis of Machine Learning Approaches in Enhancing Power System Stability," Md IH Pathan, Mohammad S Shahriar, Mohammad M Rahman, Md Sanwar Hossain, Nadia Awatif, Md Shafiullah, 2023 Journal Artificial Intelligence‐based Smart Power Systems, 157-177, John Wiley & Sons, Inc.
Comprehensive Impact Analysis of Plug-In Hybrid Electric Vehicle Charging Scheduling on Load Duration Curve”, Mohammad Mominur Rahman, Essam Al-Ammar, Himadry Shekhar Das, Wonsuk Ko, “Computers & Electrical Engineering”, Elsevier, Volume 85, 106673, 2020
Cadmium Selenide based Quantum Dots for Solar Cells Applications: A review”, Mohammad Mominur Rahman, Mohammad Rezaul Karim, Hamad F. Alharbi, Belal Aldokhayel, Md. Hasan Zahir, Tauriq uz Zaman, “Chemistry - An Asian Journal”. 21 February 2021