I am a fourth-year PhD student in Computer Science at the University of Illinois Chicago, advised by Professor Elena Zheleva.
My current research focuses on building unbiased and fair recommender systems by addressing biases such as position, exposure,
and popularity bias. I work across learning-to-rank, collaborative filtering, graph-based recommender systems, RecLLMs,
and social recommender systems, using methods from causal inference, econometrics, machine unlearning,
and geometric approaches to mitigate various biases. My work also includes unbiased offline evaluation of recommender systems.
I also work on causal hypothesis verification using LLMs and mentor undergraduate students on this project.
The broader impact of my research spans several real-world platforms, including e-commerce, social networks,
video-sharing platforms, lifestyle applications, search engines, and many more. I am broadly interested in
other compelling applications within recommender systems, e-commerce, and broader data science related works.
PhD Student in Computer Science (Jan. 2023 to present)
University of Illinois Chicago
B.Sc in Computer Science and Engineering
Bangladesh University of Engineering and Technology (BUET), Dhaka, Bangladesh
[1] Md Aminul Islam, Elena Zheleva, Ren Wang. Post-hoc Popularity Bias Correction in GNN-based Collaborative Filtering. In Proceedings of the ACM Web Conference 2026. pdf
[2] Md Aminul Islam, Kathryn Vasilaky, Elena Zheleva. Correcting for Position Bias in Learning to Rank: A Control Function Approach. [arXiv]
[3] Md Aminul Islam, Ahmed Sayeed Faruk, Sourav Medya, Elena Zheleva. Debiasing Message Passing to Mitigate Popularity Bias in GNN-based Collaborative Filtering.
Programming Languages: Python, Java, Swift, Kotlin, C, C++, Assembly (80X86)
Scripting Languages: JavaScript, Shell Scripts, Java Native Interface (JNI), HTML, CSS
Mobile Application Development & Frameworks: Android, iOS, Django
Database: SQL, Oracle
Security: AES (CBC & ECB), CommonCrypto API, iOS Keychain
Tools & Others: Pandas, PyTorch, Tensorflow, LLM APIs, Google Cloud, REST API, Firebase, Google ML Kit & Vision API, LaTeX