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Mohammad Mominur Rahman

AI Research Scientist, MADA Centre, Doha, Qatar

PhD 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 in Doha, Qatar, with an expected completion in Spring 2026. My research focuses on the intersection of advanced Explainable AI (XAI) and Human-Computer Interaction (HCI), emphasizing user-centered design to create ethical, trustworthy AI systems.
With a diverse background spanning electric vehicle grid integration with renewable energy sources, nanomaterials such as phase change materials, and cadmium selenide quantum dots for solar cells, I am committed to advancing AI technologies that prioritize societal benefits and risk mitigation.

I joined the Mada Center in Qatar as an AI Research Scientist. As the world's leading hub for Arabic digital accessibility, Mada is a non-profit organization founded in 2010 under the Ministry of Communications and Information Technology. In this role, I apply my HCI expertise to enhance accessible AI solutions, aligning with Mada's mission to empower users and bridge digital divides.
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.

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Research Interests

My research interests center on leveraging artificial intelligence (AI) and machine learning (ML) techniques within big data platforms to extract actionable insights and optimize complex systems. Additionally, I explore behavioral and information technology to understand human-AI interactions, alongside practical applications in electric vehicle (EV) grid integration for sustainable energy management, renewable energy innovations, and interdisciplinary human-centered AI solutions that prioritize ethics, accessibility, and user trust.

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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

Contact

Contact
Information

Education city, Student Male housing,

Al- Rayyan, Doha, Qatar.

Home: Rupnagar R/A, Mirpur, Dhaka-1216, Bangladesh.

E-mail: mrahman@mada.org.qa,
           mora28982@hbku.edu.qa,  

           momin128@gmail.com

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