Rahul Kumar Kundu
Research Assistant, Qatar University
B.Sc. in Electrical and Computer Engineering
Rajshahi University of Engineering and Technology, Bangladesh
rahulkumarkundu.bd@gmail.com | rahulkumarkundu.ece@gmail.com
Jashore, Khulna, Bangladesh
I am Rahul Kumar Kundu, a researcher in machine learning and trustworthy artificial intelligence. I completed my B.Sc. in Electrical and Computer Engineering at Rajshahi University of Engineering and Technology (RUET), Bangladesh, graduating with a CGPA of 3.79/4.00 and ranking 7th among 60 students. I am currently working as a Research Assistant under Dr. Amith Khandakar at Qatar University (remote).
My research focuses on developing reliable, interpretable, and deployable machine learning systems for healthcare and intelligent sensing. I am particularly interested in medical image analysis, multimodal learning, explainable AI, trustworthy AI, and machine learning for cybersecurity. My work has resulted in a journal publication in Biomedical Signal Processing and Control (Elsevier Q1), two IEEE conference papers, and two manuscripts currently under review at IEEE Open Journal of the Computer Society and Computer Methods and Programs in Biomedicine (Elsevier Q1).
Beyond research, I served as Chair of the IEEE RUET Signal Processing Society (SPS) Student Branch Chapter from 2024 to 2025, where I led technical events, workshops, and research seminars. I also served as Vice President (Information) of the Astronomy and Science Society of RUET (ASSR) from 2024 to 2025, where I led the development of the official society website. Previously, I served as Webmaster of the IEEE RUET Student Branch and as Secretary for Website and CMT Management at the 2025 IEEE PEEIACON conference.
I am seeking funded graduate research opportunities for Fall 2027, primarily PhD positions in medical image analysis, multimodal learning, trustworthy AI, and intelligent sensing. I am also open to funded, thesis-based master’s programs that provide a strong pathway toward doctoral research.
My research focuses on developing reliable, interpretable, and deployable machine learning systems for healthcare and intelligent sensing. I am particularly interested in medical image analysis, multimodal learning, explainable AI, trustworthy AI, and machine learning for cybersecurity. My work has resulted in a journal publication in Biomedical Signal Processing and Control (Elsevier Q1), two IEEE conference papers, and two manuscripts currently under review at IEEE Open Journal of the Computer Society and Computer Methods and Programs in Biomedicine (Elsevier Q1).
Beyond research, I served as Chair of the IEEE RUET Signal Processing Society (SPS) Student Branch Chapter from 2024 to 2025, where I led technical events, workshops, and research seminars. I also served as Vice President (Information) of the Astronomy and Science Society of RUET (ASSR) from 2024 to 2025, where I led the development of the official society website. Previously, I served as Webmaster of the IEEE RUET Student Branch and as Secretary for Website and CMT Management at the 2025 IEEE PEEIACON conference.
I am seeking funded graduate research opportunities for Fall 2027, primarily PhD positions in medical image analysis, multimodal learning, trustworthy AI, and intelligent sensing. I am also open to funded, thesis-based master’s programs that provide a strong pathway toward doctoral research.
News
| Jun 01, 2026 | Started as a Research Assistant at Qatar University under Dr. Amith Khandakar, conducting research in machine learning, deep learning, and multimodal learning, with contributions to model development, statistical evaluation, reproducible experimentation, and manuscript preparation. |
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| May 04, 2026 | ED-Net Published in Biomedical Signal Processing and Control |
| Oct 01, 2025 | Phishing Website Detection Paper Published at ICCIT 2025 |
| Jun 01, 2025 | Tea Leaf Disease Classification Paper Published in IEEE Xplore |