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MH

Md. Mehedi Hasan

AI × Healthcare × Neuroimaging × Research

CSE graduate and AI/ML researcher with experience in biomedical AI, medical imaging, brain MRI analysis, deep learning, graph based learning, and Explainable AI. My research interests span computational neuroimaging, medical AI, and computational modeling, with a growing focus on understanding complex biological and cognitive processes through machine learning.

Open to
MSc / PhD positionsResearch collaborationAI/ML engineering roles
Md. Mehedi Hasan — portrait

At a glance

Research

Research directions

Exploring machine learning and computational modeling for neuroimaging and neuroscience, with an interest in understanding neural representations underlying cognition and emotion.

Developing machine learning and deep learning methods for medical image analysis, clinical decision support, and explainable healthcare AI.

Graph and transformer architectures applied to biological interaction data. Evidenced by X-GNN, published at IEEE ICECTE 2026, on human protein–protein interaction prediction.

ActiveFeatured

Explainable AI

Making model decisions inspectable, which is a precondition for clinical use rather than an add-on. Evidenced by Grad-CAM in NeuroVision AI and RetinaVision AI, SHAP in the Parkinson's work, and "Explainable" in the title of the published paper.

Research methods

Methods I work with

Problem

  • Problem Formulation
  • Research Question
  • Use-case Analysis
  • Stakeholder / Domain Analysis
  • Literature Review
  • Research Gap Identification

Technical stack

Languages, frameworks and tools

AI / ML

  • PyTorch
  • Scikit-learn
  • NumPy
  • Pandas
  • Matplotlib
  • +5 more

Data

  • MySQL
  • PostgreSQL
  • MS SQL Server
  • Firebase
  • Supabase
  • +7 more

Engineering

  • Python
  • SQL
  • C++
  • Java
  • JavaScript
  • +15 more

Tools

  • Docker
  • Linux
  • Google Colab
  • Kaggle
  • Anaconda
  • +4 more

Projects

Selected projects

Medical AI / Medical ImagingFeaturedAug 2026

Cardio Vision AI

Multimodal Cardiovascular AI for Echocardiography, CCTA, and ECG

  • Python
  • PyTorch
  • FastAPI
  • +11 more
Healthcare AI / Medical ImagingFeatured

NeuroVision AI

Explainable Brain MRI Classification

  • Python
  • PyTorch
  • EfficientNet-B0
  • +5 more
Healthcare AI / Medical ImagingFeatured

RetinaVision AI

Explainable Retinal Image Analysis

  • Python
  • PyTorch
  • ResNet50
  • +5 more

Experience

Research and engineering roles

Education

Degrees

Jan 2022 – Dec 2025

Bachelor of Science in EngineeringComputer Science and Engineering

Bangladesh University of Business and Technology (BUBT)

CGPA3.82 / 4.00
Jul 2018 – Mar 2020

Higher Secondary Certificate (H.S.C.)

Begum Sheikh Fazilatun Nessa Mujib Govt. College

GPA4.00 / 5.00

Gatherings

Conferences, workshops and research events

ieeepsbdcgala

Image 1 of 2

4 July 2026MeetingCommittee Member

IEEE Photonics Society Bangladesh Chapter Executive Committee Meeting

IEEE Photonics Society Bangladesh Chapter · Sky Lounge, Mirpur-1,Dhaka,Bangladesh

A productive evening with brilliant minds at the IEEE Photonics Society Bangladesh Chapter Executive Committee Meeting. The meeting brought…

Event page (opens in a new tab)

Publications

Peer-reviewed work

PublishedConference paper2026

X-GNN: An Explainable Ensemble Graph–Transformer Framework for Human Protein–Protein Interaction Prediction

“X-GNN: An Explainable Ensemble Graph–Transformer Framework for Human Protein–Protein Interaction Prediction”, 2026 5th International Conference on Electrical, Computer & Telecommunication Engineering (ICECTE), 2026.

Leadership & engagement

Roles and service

Jan 2024 – Dec 2025

Mentor

IEEE Computer Society Bangladesh Chapter

Recognition

Awards and honours

Get in touch

Open to research collaborations, PhD and MSc supervision enquiries, and applied AI work in healthcare.