Monoronjon Dutta
Research Assistant at Charles Sturt University, Australia.
My research interests primarily focus on Deep learning, Computer Vision, Multimodal and Generative Artificial Intelligence, Explainable AI.
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Latest Updates
Joined as Research Assistant (RA) at Charles Sturt University | Bathurst, Australia
Joined as Research Intern – Explainable AI at ELITE Research Lab LLC | Queens, NY, USA
Received Recognition of Scholarly Publication in a reputed indexed journal.
Published a first-author Q1 journal paper on Acute Lymphoblastic Leukemia classification in IEEE Access.
Published two first-author conference papers at ECCE-2025.
Published a first-author Q1 journal paper on Rice Leaf Disease classification in Technologies.
Published a second-author Q2 journal paper on Alzheimer’s disease classification in Informatics in Medicine Unlocked.
Published a first-author Q3 journal paper on Breast Cancer classification in Bulletin of Electrical Engineering and Informatics.
Successfully defended B.Sc. final year thesis in Computer Science and Engineering.
Second research paper accepted at the ICCIT-2023 Conference.
First research paper accepted at the BIM-2023 Conference.
Joined as Research Assistant at the Multidisciplinary Action Research (MARS) Lab, DIU.
Appointed as Lab Teaching Assistant for Machine Learning & Data Mining under Dr. Atikur Rahaman.
Third-time recipient of the Talent Scholarship for academic excellence (Summer 2022).
Participated in the DIU Robotics and Project Competition.
Second-time recipient of the Talent Scholarship (Spring 2022).
First-time recipient of the Talent Scholarship (Fall 2021).
Work Experience
Research Assistant (RA)
Jan 2026 — PresentCharles Sturt University • Australia
I am here working on advanced AI research covering Generative AI, Deep Learning, Computer Vision, and Explainable AI under expert academic supervision.
Research Intern - Explainable AI
Jan 2026 — PresentELITE Research Lab LLC • New York, USA
I am collaborating remotely with the Explainable AI and multimodal AI research team on data analysis, including coding, results reporting, verification, model development, and manuscript preparation.
Research Assistant (RA)
Jul 2023 — Sep 2025Multidisciplinary Action Research (MARS) Lab, Daffodil International University • Dhaka, Bangladesh
I worked on Deep Learning and Explainable AI research projects. I also collaborated with foreign researchers and co-authored multiple papers. Alongside my work, I mentored junior members, helping them with data analysis and manuscript preparation.
Lab Teaching Assistant (Lab-TA)
Fall 2022FSIT, Dept. of CSE | Daffodil International University, • Dhaka, Bangladesh
I worked under the supervision of Dr. Md. Atiqur Rahman, assisting students with problems in the Machine Learning and Data Mining lab. I was also responsible for collecting and checking their lab reports.
Education
Bachelor of Science in Computer Science & Engineering
2020 - 2024Grade: ~92%
Daffodil International University • Dhaka, Bangladesh
Thesis: Retinal Fundus image classification using Generative adversarial Networks (Score: 100%).
Coursework: Data Mining and Machine Learning, Artificial Intelligence, Digital Image Processing, Research and Innovation
Publications
LEU3: An Attention Augmented-based Model for Acute Lymphoblastic Leukemia Classification.
IEEE Access | [Link]
Advancing Kidney Disease Diagnosis Using Convolutional Neural Networks on Medical Imaging.
ECCE - Conferences | [Link]
Retinal Fundus image classification using Generative adversarial Networks.
ECCE - Conferences | [Link]
An interpretable machine learning-based breast cancer classification using XGBoost, SHAP, and LIME.
Bulletin of Electrical Engineering and Informatics | [Link]
ALSA-3: Customized CNN model through ablation study for Alzheimer's disease classification.
Informatics in Medicine Unlocked | [Link]
Rice Leaf Disease Classification—A Comparative Approach Using CNN
Technologies | [Link]
Tuberculosis Disease Detection from Chest X-rays Using Deep Learning Techniques.
ICCIT Conferences | [Link]