Faculty Profile

• United International University, Dhaka, Bangladesh
  MSC in Computer Science and Engineering (Major in Data Science)
• Brac University, Dhaka, Bangladesh
  BSC in Computer Science and Engineering
• Notre Dame College, Dhaka, Bangladesh
  Higher Secondary School Certificate
• Motijheel Ideal School & College, Dhaka, Bangladesh
  Secondary School Certificate

• 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.