Posts by Collection

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.

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.

DOI: https://doi.org/10.1109/ICDABI60145.2023.10629500

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.

DOI: https://doi.org/10.3389/fpls.2024.1373590

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.

DOI: https://doi.org/10.1007/978-981-97-3966-0_9

Using Cooperative Multi-Agent Reinforcement Learning for Mammogram ROI Classification

Published: October 25, 2023

Presented the multi-agent reinforcement learning framework for mammogram ROI classification described in the accompanying paper.

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.