Welcome to Zubair's Homepage!
I am currently pursuing my Ph.D. in Computer Science at the University of Louisiana at Lafayette, USA, where I work as a Research Assistant at MedAI Lab under the supervision of Dr. Min Shi. Previously, I was a Lecturer in the Department of Computer Science and Engineering at Uttara University, Bangladesh, and a Remote Technical Writer specializing in Data Science and Computer Vision at Deepnote Inc., USA.
I received my B.Sc. in Computer Science and Engineering from Chittagong University of Engineering & Technology (CUET), Bangladesh. My research focuses on Fair and Trustworthy AI Models, Causal Representation Learning, Bioinformatics, and Computer Vision, with an emphasis on robust and clinically meaningful machine learning for healthcare. I also enjoy writing about AI, Machine Learning, Computer Vision, and Data Science for a broader audience.
I am always interested in collaborating on challenging research problems in Medical AI, Computer Vision, Machine Learning, and related interdisciplinary areas.
2026 Aug — One paper submitted to AAAI 2027.
2026 Jul — One paper accepted at IEEE TMI (IF 12, CiteScore 18.7).
2025 Jun — Research Assistant at MedAI Lab, UL Lafayette, USA (present).
2025 Jan — Teaching Assistant at UL Lafayette, USA (through May).
2025 Jan — Started Ph.D. at University of Louisiana at Lafayette, USA.
MultiFair: Multimodal Balanced Fairness-Aware Medical Classification with Dual-Level Gradient Modulation
An Improved K-means Clustering Algorithm Towards an Efficient Data-Driven Modeling
Automated Sensor Node Malicious Activity Detection with Explainability Analysis
Climate Data Dynamics: A High-Volume Real World Structured Weather Dataset
A Machine Learning Approach for Crop Yield and Disease Prediction Integrating Soil Nutrition and Weather Factors
Agricultural Recommendation System Based on Deep Learning: A Multivariate Weather Forecasting Approach
A Data-Driven Predictive Analysis on Cyber Security Threats with Key Risk Factors
An Intelligent Model to Suggest Top Productive Seasonal Crops Based on User Location in the Context of Bangladesh
An Efficient K-Means Clustering Algorithm for Analysing COVID-19
A Modified Naïve Bayesian-Based Spam Filter Using Support Vector Machine
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