Apr 28, 2025:
Our paper titled "A Deep Learning Model with Interpretable Squeeze and Excitation
for Automated Rehabilitation Exercise Assessment" has been accepted for publication in Medical &
Biological Engineering & Computing (Springer).
Apr 7, 2025:
Our paper titled "Rehabilitation Exercise Score Prediction Through Integration of
Spatial Feature with Graph Structural Learning" has been accepted for publication in Engineering
Applications of Artificial Intelligence (Elsevier).
Dec 30, 2024:
I was awarded a fellowship for my M. Sc. thesis on "A Novel Spatio-Temporal AI
Framework for Parkinson's Disease Detection Using Physiological Signals".
Nov (22-23), 2024:
Presented our research paper titled 'Rehabilitation Exercise Assessment Using
Convolutional Neural Network with Feature Prioritization using Whale Optimization and Shapley Values' at
Symposium 2024, organized by the IEEE Computer Society BD Chapter, hosted at Jagannath University,
BD.
Nov (1-2), 2024:
Volunteered in the coordination of International SPICSCON 2024 conference,
organized by the IEEE BD Section and IEEE Signal Processing Society BD Chapter, hosted at Khulna
University, BD.
Nov 1, 2024:
Contributed to the successful coordination of SYMPSIST 2024, a joint effort by
the IEEE BD Section, IEEE SSIT BD Chapter, IEEE Region 10, with exceptional support from the amazing
team at IEEE KU SB.
Oct 26, 2024:
Led the organization of TechFusion 2024: ML Blitz, Poster Presentation, and
Webinar at Khulna University, coordinated by the IEEE KU Student Branch.
Sept 4, 2024:
Released ML-based sign language prediction website for my paper
'Bengali-Sign: A Machine Learning-Based Bengali Sign Language Interpretation for Deaf and Non-Verbal
People
June 29, 2024:
Published a journal paper "Bengali-Sign: A Machine Learning-Based Bengali Sign
Language Interpretation for Deaf and Non-Verbal People".
June 21, 2024:
Became chairperson of IEEE Khulna University Student Branch.
Nov 25, 2023:
Khulna University day 2023: Recognized by Khulna University for my
extracurricular involvement
Oct (6-7), 2023:
Regional champion in NASA Space App Challange "Storms End: AI enabled solution
to visualize and predict Geomagnetic Storms from NASAs' "DISCOVR" spacecraft".
June (9-10), 2023:
Attended a summer symposium "Assessing The Rehabilitation Exercise Using GWO
Optimized CNN-SE Network and Interpretation of The Model Using SHAP.".
Aug 27, 2023:
Undergrad project "Integrated Remote Health Monitoring and Disease
Detection System.".
May 13, 2023:
Champion of App Idea Compition "Autistic Kids Companion: An Automatic Exercise
Assessment and Companion for Autistic Kids and Motor Dysfunction Patients Using ML.".
April 30, 2023:
Published a book chapter "Classification of Histopathological Colon Cancer
Images Using Particle Swarm Optimization-Based Feature Selection Algorithm.".
April 17, 2023:
Published a journal paper "Detection of The Chronic Kidney Disease Using
XGBoost
Classifier And Explaining The Influence of The Attributes on The Model Using SHAP.".
April 2, 2023:
Undergrad project "Gesture-Driven Robotic Arm: Utilizing Computer Vision for
Enhanced Human-Machine Interaction.".
Nov 4, 2022:
Published a journal paper "Breast Cancer Classification Along With Feature
Prioritization Using Machine Learning Algorithms".
Oct 1, 2022:
Published a book chapter "Histopathological breast cancer image classification
with feature prioritization using a heuristic algorithm.".
July (1-3), 2022:
Published a conference paper "Smart Human Following Baby Stroller Using
Computer
Vision".
April 23, 2022:
Undergrad project "Automated Hand Exercise Machine with Monitoring System for
Paralysis Patients.".
Nov 11, 2021:
Published a journal paper "Malaria Cell Image Classification by Explainable
Artificial Intelligence.".
Aug (16-20), 2021:
Published a conference paper "Automated Rehabilitation Exercise Assessment by
Genetic Algorithm-Optimized CNN".