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A list of all the posts and pages found on the site. For you robots out there, there is an XML version available for digesting as well.
Pages
Posts
Cooperative MARL for Mammogram ROI Classification, in Full
Published:
The full write-up behind the MARL portfolio entry — POMDP formulation, the five-module agent architecture, and an honest read of a result that doesn’t beat CNN baselines.
Cauli-Det, in Full: Problem, Architecture, and the Ablations Behind the 91.1% mAP
Published:
The full write-up behind the Cauli-Det portfolio entry — problem motivation, architecture, all four ablation studies, and the honest per-class weak spot the headline number hides.
portfolio
Cauli-Det: Modified YOLOv8 for Cauliflower Disease Detection
ResearchComputer Vision
91.1% mAP across three cauliflower disease classes from smartphone-captured field images. Published in Frontiers in Plant Science.
Formal Verification of Mechanistic Interpretability Interventions (In Progress)
ResearchAI Safety
Developing methods to formally verify safety properties of activation-editing techniques in transformer models, on toy models, aimed at a top-tier conference submission.
Cooperative Multi-Agent RL for Mammogram ROI Classification
ResearchReinforcement Learning
Multiple RL agents independently observe local patches of a mammogram ROI, communicate, and reach a decentralized consensus classification. Presented at IEEE ICDABI 2023.
NL-to-SQL / RAG Data Extraction System
SoftwareAI Agent
Converts natural-language requests into SQL, executes them, and returns results conversationally — prompt engineering, RAG, vector databases, Gemini and OpenAI APIs.
publications
Using Cooperative Multi-Agent Reinforcement Learning for Mammogram ROI Classification
Published in 2023 4th International Conference on Data Analytics for Business and Industry (ICDABI), IEEE, 2023
A cooperative multi-agent reinforcement learning framework where agents independently observe regions of mammogram images, communicate, and reach consensus for breast cancer classification.
Cauli-Det: enhancing cauliflower disease detection with modified YOLOv8
Q1Scopus Indexed
Published in Frontiers in Plant Science, Vol. 15, 2024
A modified YOLOv8 architecture for multi-class cauliflower disease detection and localization from smartphone-captured images, achieving 91.1% mAP across three disease categories.
Enhancing Breast Cancer Detection Systems: Augmenting Mammogram Images Using Generative Adversarial Networks
Scopus Indexed
Published in Data-Driven Clinical Decision-Making Using Deep Learning in Imaging (Studies in Big Data, Vol. 152), Springer, 2024
A generator–discriminator GAN architecture to synthesize breast-cancer ROI images, augmenting sparse mammogram datasets to support downstream classification model training.
talks
Using Cooperative Multi-Agent Reinforcement Learning for Mammogram ROI Classification
Published:
Presented the multi-agent reinforcement learning framework for mammogram ROI classification described in the accompanying paper.
teaching
Lecturer, Dept. of Computer Science
Undergraduate courses, American International University-Bangladesh (AIUB), 2024
Teaching programming, computer architecture, operating systems, software engineering, and web development to undergraduate Computer Science students. Dec 2024 – Present.
Lead Developer, Web Development & Automation Team — designing and building internal systems to digitize and automate departmental activities and ensure smooth, efficient operation.
Contributor, Course Registration & Admission Management Systems — contributed to the student course registration system supporting AIUB’s open-credit registration model, and to the admission management system.