- General Information
- Education
- Experience
- Publications
- Research Interests
- Achievement, Awards and Grants
- Seminar & Conference
- Training & Workshop
- Others
- United International University, Dhaka, Bangladesh
MSC in Computer Science and Engineering (Major in Data Science) — Ongoing, Completed 6/36 credits
CGPA: 4.00/4.00 - Brac University, Dhaka, Bangladesh
BSC in Computer Science and Engineering — May 2017 ‐ May 2021
CGPA: 3.97/4.00 - Notre Dame College, Dhaka, Bangladesh
Higher Secondary School Certificate — July 2014 ‐ August 2016
CGPA: 5.00/5.00 - Motijheel Ideal School & College, Dhaka, Bangladesh
Secondary School Certificate — January 2012 ‐ May 2014
CGPA: 5.00/5.00
- Lecturer (Full-Time), Department of Computer Science and Engineering, Presidency University, Dhaka, Bangladesh
May 2024 – Present- Currently teaching courses in Introduction to Computer Science, Digital Logic Design, Internet & Web Technologies, Computer Networks & Security, and Probability & Statistics.
- Allocating 35 hours per week to office responsibilities.
- Lecturer (Full-Time), Department of Computer Science and Engineering, Primeasia University, Dhaka, Bangladesh
Jun 2022 – Oct 2023, Jan 2024 – May 2024- Instructed courses in Computer Fundamentals, Structured Programming, Object Oriented Programming, Artificial Intelligence, Machine Learning, Theory of Computation, and Software Engineering.
- Conducted student advising for five semesters.
- Devoted 35 hours per week to office responsibilities.
- Served as Co-convener of the PAU Computer Club.
- Coached the CSE team for the PAUCL cricket leagues in 2022 and 2024.
- Contractual Lecturer (Part-Time), Department of Computer Science and Engineering, Brac University, Dhaka, Bangladesh
Sept 2021 – Aug 2023- Taught courses in Programming Language-I, Programming Language-II, Artificial Intelligence, Computer Networks, Numerical Methods, Software Engineering, and System Analysis & Design.
- Volunteered as a student advisor for four semesters.
- Paper Title: A Transformer Based Approach for Improved Rumor Classification from Tweet.
ICCIT 2023 Conference (IEEE Xplore)
2nd Author, Feb 2024- Conducted comprehensive research on rumor detection in social media using machine learning algorithms (XGBoost, SVM, Random Forest) and deep learning-based transformers (BERT, DistilBERT).
- Achieved highest accuracy (90.20%) with BERT among transformer-based models, surpassing classical machine learning models like SVM and Random Forest (89.05%).
- Demonstrated efficacy in minimizing the impact of rumors on individuals, communities, and society.
- Paper Title: An efficient deep learning approach for detecting lung disease from chest X-Ray images using transfer learning and ensemble modeling.
IEEE CSDE 2021 Conference (IEEE Xplore)
1st Author, Mar 2022- Developed an automated approach for detecting lung diseases using chest X-ray images, aiming to enhance diagnosis and treatment processes in healthcare.
- Implemented a weighted binary classifier leveraging deep neural networks such as Inception-v3, VGG16, and ResNet-50, achieving a significant improvement in accuracy compared to traditional methods.
- Utilized transfer learning techniques and rigorous academic training and testing sets to fine-tune deep neural networks, resulting in a test accuracy of 88.14% with the proposed classifier.
- Paper Title: Interpretable COVID-19 Classification Leveraging Ensemble Neural Network and XAI
BIOMESIP 2021 Conference (Springer Link)
3rd Author, Oct 2021- Developed a rapid and efficient method for detecting COVID-19 using CT scan images, addressing the urgent need for diagnostic tools during the global pandemic.
- Achieved significant accuracy rates: 85.33% with VGG16, 87.86% with VGG19, and 82.35% with ResNet101 in initial testing phases.
- Engineered an ensemble model integrating the top three classifiers, resulting in an outstanding overall accuracy of 90.89% with COV19EXAI V1 and further improved to 91.82% with COV19EXAI V2.
- Implemented eXplainable AI (XAI) techniques to enhance transparency and interpretability of the classification results, ensuring a deeper understanding of the diagnostic process.
- Domestic Competition, Brac University
IEEE Computer Society, Jun 2020- Achieved 6th place in the IEEE Educative Tutorial Competition.
- Scholarships, Brac University
May 2017 – May 2021- Received a 75% performance-based scholarship for maintaining a CGPA of 3.95 or higher.
- Awarded a 70% merit-based scholarship based on SSC and HSC examination results.
- Badges, HackerRank
Problem Solving, Jul 2021 – Present- Achieved a Gold Badge in the Python programming language.
- Achieved a Silver Badge in Algorithms and Data Structures.
- Python, Machine Learning & Web Development, Coursera
Online Certification-I, Apr 2020 – Jun 2020- Programming for Everybody (Getting started with Python).
- AI for Everyone.
- Image Processing with Python.
- Programming Foundations with JavaScript, HTML and CSS.
- Data Science, DataCamp
Online Certification-II, Jun 2022 – Aug 2022- Introduction to Data Science in Python.
- Introduction to Importing Data in Python.
- Cleaning Data in Python.
