Research & Publications

            My research focuses on AI-based diagnostics and intelligent autonomous systems.
            I have a peer-reviewed publication on automated disease detection and am actively
            contributing to international competitions — CanSat 2025 and
            SAUVC 2025 — as a researcher and team lead.
        

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01 / Publications

Published Research

2026 📖 ICTIS 2026 · Thailand · Peer-Reviewed Conference Paper

Automated Mango Disease Detection using AI & Machine Learning

An advanced machine-learning system for automated detection of diseases through image analysis, utilizing computer vision and deep learning techniques. Presented at the International Conference on Technology and Innovation in Sustainable Development (ICTIS), Thailand 2026. The system integrates Raspberry Pi, ESP Camera, and an AI-driven chatbot for real-time farmer guidance.

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2024 📖 ICCCNT 2024 · IEEE · Peer-Reviewed Conference Paper

Streamlining Rescue Efforts: A Study on the Impact of Organizational Coordination in Animal Rescue Operations

This study looks into how organizational coordination affects the effectiveness of rescue groups for dogs and cats and suggests a full web application as a solution. The tool simplifies volunteer organizing, gift administration, and animal adoptions. By efficiently managing data and facilitating communication, it improves operational efficiency while catering to the various requirements of animal welfare groups. Important results show that the number of animals rescued and the range of services offered are positively correlated. This study emphasizes how crucial creative, technologically advanced solutions are to raising the effectiveness of animal rescue efforts.

Authors: Md Nadimul Islam, Redwan Rahman, Sayeda Rahnuma Akthar, Mahady Hasan, Sadita Ahmed
Conference: 2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT) · Pages 1–7 · Publisher: IEEE

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02 / Competitions

Ongoing Research & Competitions

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CanSat 2025

Contributing to the design, programming, and deployment of a soda-can-sized satellite payload for the international CanSat Competition. Continuing from the 2024 core team experience with AutoGyro Descender upgrades.

Arduino ESP32 Telemetry

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SAUVC 2025

Team lead for the Singapore Autonomous Underwater Vehicle Challenge (SAUVC) 2025, developing an autonomous underwater robot with computer vision and embedded control systems.

Computer Vision Embedded C Python

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03 / Gallery

First Paper Presentation

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