I am a Graduate Research Associate at the Center for Equitable AI and Machine Learning Systems and an M.S. candidate in Advanced Computing at Morgan State University, advised by Prof. Dr. Md Rahman. My research focuses on building explainable, data-efficient, and multimodal AI systems for applications in medical imaging, additive manufacturing, and disaster management.

My current work includes developing generative AI models for defect simulation in 3D scans, fine-tuning large vision–language models (VLMs) for clinical captioning, and improving model interpretability in high-stakes domains. I actively contribute to research funded by the NSF and the National Institute of Standards and Technology (NIST).

My research interests include:

• Multimodal Learning
• Vision–Language Models
• Explainable AI
• Medical Image Analysis
• Generative Models (GANs, VAE)
• Few-shot and Continual Learning

Previously, I earned my B.S. in Computer Science and Engineering from North South University, Bangladesh. I have also worked at iFarmer Ltd. as a Data Analyst Intern, building AI-driven document verification and Bengali-language chatbot systems.

In 2024, our team secured 2nd place in caption prediction and 9th in concept detection at ImageCLEFmedical 2024, demonstrating the impact of our work in clinical AI.

You can find more about my work via Google Scholar or connect with me on LinkedIn.

News

• [July 2025] Started working as a Research Associate at the Center for Equitable AI and Machine Learning Systems (CEAMLS), Morgan State University.
• [June 2025] Completed my PREP Research Associate term at the National Institute of Standards and Technology (NIST), focusing on generative AI for synthetic defect modeling in additive manufacturing.
• [May 2025] Received the Best M.S. Thesis Award from the Department of Computer Science, Morgan State University.
• [April 2025] Our paper "A Novel Vision Transformer-Based Approach to Detect Generative Model Fingerprint" was accepted to SPIE Medical Imaging 2025.
• [April 2025] Two papers accepted at ICMI 2025, Central Michigan University: on radiology captioning and colonoscopy image synthesis.
• [March 2025] Accepted paper on Diabetic Retinopathy Diagnosis Using Hybrid EfficientNet–ResNet with Coordinate Attention to appear in Springer Lecture Notes in Electrical Engineering (LNEE).
• [February 2025] Serving as a peer reviewer for IEEE Journal of Biomedical and Health Informatics and IEEE Access.
• [December 2024] Awarded the prestigious IBM Masters Fellowship for 2024.
• [June 2024] Our team achieved 2nd place in caption prediction and 9th in concept detection at ImageCLEFmedical 2024.
• [August 2023] Joined Morgan State University as a Graduate Research Assistant under NSF Grant #2131307.
• [May 2023] Completed a Data Analyst Internship at iFarmer Ltd., where I fine-tuned a Bengali chatbot and built document verification tools with computer vision and LLaMA 2.
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[May 2022] Completed undergraduate degree with 75% tuition scholarship and a CGPA of 3.73 from North South University, Bangladesh.
[May 2022] Finished role as Teaching Assistant for Probability & Statistics and Physics II at North South University.

Contact

3102 N Calvert St, Apt 1
Baltimore, MD 21218
Email: mahoq1@morgan.edu
Phone: +1 (443) 653-8689
Office: CEAMLS, Morgan State University