AI • ML • IoT • Research

Hello, I’m Abtahi Noor

CSE graduate from BRAC University (CGPA 3.75, Merit-based Scholarship) specializing in ML, DL, CV, and IoT.

About Me

I am a Computer Science and Engineering graduate from BRAC University with teaching, research, and leadership experience. Research Assistant at BRAC Business School, Student Tutor (STA201), and President of BURED. Internship at Nagad in the Technology Department.

Skills

Python C/C++ Java PHP HTML/CSS/JS MySQL SQLite TensorFlow Keras PyTorch CNN/OpenCV IoT (Arduino, STM32, ESP32, Raspberry Pi) MATLAB/Simulink Git/GitHub

Research Interests

My primary research interests lie in Machine Learning, Deep Learning, Computer Vision, and Natural Language Processing. I am particularly interested in medical image analysis, Bangla NLP, IoT-based intelligent systems, and explainable AI to ensure transparency and reliability in critical decision-making domains such as healthcare and education.

Research Experience

Primary Dataset Creation for Fall Detection

RSGI Funded • Team Lead • Supervisor: Dr. Aniqua Zereen

Federated Learning in Healthcare

Survey Paper (under review, Q1 Journal)

Vision-based Fall Detection Systems

Review Paper submitted to ICCIT 2025

Projects

PlantSegNet

Plant Disease Segmentation using U-Net.

Report

Office Management System Website

Full-stack app with auth & database integration.

Report

Publications

Cross-Domain AI Fusion: Integrating Smart Grid Environmental Signals with Diabetes Risk Prediction

ICSCSS 2025 • Paper

Sustainable Cohesive HRM Framework linking HRM Compliance Modules to Reduce Financial Risks using Soft-Systems Design

International Journal of Entrepreneurship • Paper

Robotics: Future of Schooling in Bangladesh

Experience

Intern — Nagad (Tech Dept)

Jan 2025 – Feb 2025

President — BURED

Jan 2024 – Jan 2025

Student Tutor — BRAC University (STA201)

Sep 2023 – Dec 2024

Research Assistant — BRAC Business School

Oct 2024 – Dec 2024

Education

BRAC University — B.Sc. CSE

CGPA: 3.75 (Merit-based Scholarship)

Thesis: Lightweight VQA for Skin Disease Detection — Thesis Book (PDF)

Notre Dame College — HSC

GPA: 5.00