Research

Current Research Interests

• Machine Learning
• Medical Imaging
• Explainable AI
• Natural Language Processing
• Bias, Fairness and Safety in Medical Domain Data

Awards & Achievements

• Highest Distinction Award — CGPA 4.00/4.00, BRAC University (2023)
• Best Paper Award — Human-Centric Intelligent Systems Journal (2022)
• Best Paper Award — AI and Machine Learning Session, IEEE CCWC (2022)
• Best Presenter Award — Big Data Management and Analytics Session, IEEE CCWC (2022)
• Best Paper Award — Signal Detection and Processing Session, IEEE IEMCON (2021)
• Best Paper Award and Best Presenter Award — Machine Intelligence Session, IEEE ICCIT (2018)
• Honorable Mention — Coach — ICPC Asia Dhaka Regional Contest (2021)
• MSc Scholarship — BRAC University (2022)
• Nominated Best Faculty Award — Fall 2018, Department of CSE, Bangladesh University
• Certificate of Appreciation — Research publication recognition (2022–2023), BUBT Research and Innovation Center (2024)

Research Experience

Postgraduate Research, Department of CSE, BRAC University (July 2021 – February 2022) Thesis: Sentiment Analysis on Bangladesh Airlines Review Data using Machine Learning Supervisor: Md. Golam Rabiul Alam, PhD

Undergraduate Research, Department of CSE, AUST (June 2017 – May 2018) Thesis: A Hybrid Under-Sampling Method to Classify Imbalanced Data Supervisor: Faisal Muhammad Shah

Research Group

• Lead Researcher — Advanced Machine Intelligence Research Lab (AMIRL), 2023 – Present
• Member — Decision Support and Analytics Research Group (DSARG), UNSW Canberra, 2025 – Present

Conference Presentations

• DICTA 2023 — International Conference on Digital Image Computing: Techniques and Applications, Port Macquarie, Australia
• TENCON 2022 — IEEE Region 10 Conference, Hong Kong
• HIS 2022 — 22nd International Conference on Hybrid Intelligent Systems, USA
• CCWC 2022 — IEEE 12th Annual Computing and Communication Workshop and Conference, Las Vegas, USA
• AIIoT 2022 — IEEE World AI IoT Congress, Washington, USA
• IEMCON 2021 — IEEE 12th Annual Information Technology, Electronics and Mobile Communication Conference, Vancouver, Canada
• IJCNN 2021 — IEEE International Joint Conference on Neural Networks, Shenzhen, China

Research Talks

• Keynote Speaker — Harnessing Large Language Models (LLMs) for Next-Gen AI Research & PhD Funding Pathways in Australia, organized by AMIRL (May 2025)
• Keynote Speaker — PhD in Australia, organized by IEEE BUBT Student Branch (September 2024)
• Guest Speaker — “Research Techniques and a Quality-Oriented Mindset”, IEEE BUBT Student Branch

Selected Academic Projects

Speckle Noise Reduction in Ultrasound Images Developed a context-based model for adaptive threshold selection within a wavelet thresholding framework using Matlab.

Credit Card Fraud Detection using Explainable AI Applied Decision Tree, KNN, SVM, Random Forest, and XGBoost with LIME for credit card fraud detection.

Image Text to Speech Conversion Using Azure Cognitive Services Built a facial recognition model with image-to-speech conversion using Azure Cognitive Services in serverless architecture.

Sentiment Analysis on Twitter Data for US Airline Services Analyzed US airline sentiment using deep learning approaches with term embedding for sentiment classification.

Find me on

Google Scholar | ResearchGate | Semantic Scholar | ORCID | LinkedIn | GitHub | X (Twitter)