Hello, This is Asif! I am a first-year PhD student in Informatics (Software Engineering) at the University of California, Irvine. My research interests lie at the intersection of Artifiicial Intelligence and Software Engineering, with a growing focus in Quantum Computing. I am excited to be working with Professor Thomas Zimmermann, as one of the first members of our Capybara Science Lab on the Future of Software.

Born and raised in Bangladesh, I am currently on study leave from BRAC University, where I served one year as a Lecturer in Computer Science and Engineering (CSE). Before that, I completed my Bachelor’s degree in the same major from Bangladesh University of Engineering and Technology (BUET). Awarded the undergraduate research grant there, I led our thesis work on Large Language Models for Automated Code Review and Repair. My previous works explored Deep Learning for healthcare applications as well.

I love to travel around during my vacations. I also deeply enjoy books, music, and movies! My fascination for the stage has taken different forms over the years: ranging from doing vocals in our hobby rock/metal band during college days to performing with my high school theatre club at national festivals.

Selected Publications

• Understanding Dominant Themes in Reviewing Agentic AI-authored Code
  Md. Asif Haider, Thomas Zimmermann | MSR 2026

• Leveraging Complementary Attention Maps in Vision Transformers for OCT Image Analysis
  H.A.Z. Sameen Shahgir, Tanjeem Azwad Zaman, Khondker Salman Sayeed, Md. Asif Haider, Sheikh Saifur Rahman Jony, M. Sohel Rahman | ICIP 2025

• Prompting and Fine-tuning Large Language Models for Automated Code Review Comment Generation
  Md. Asif Haider, Ayesha Binte Mostofa, Sk. Sabit Bin Mosaddek, Anindya Iqbal, Toufique Ahmed | arXiv, 2024

• Zero-shot Prompting for Code Complexity Prediction Using GitHub Copilot
  Mohammed Latif Siddiq, Abdus Samee, Sk Ruhul Azgor, Md. Asif Haider, Shehabul Islam Sawraz, Joanna Cecilia da Silva Santos | NLBSE Workshop, ICSE 2023

• Forecasting COVID-19 Cases: A Comparative Analysis between Recurrent and Convolutional Neural Networks
  Khondoker Nazmoon Nabi, Md Toki Tahmid, Abdur Rafi, Muhammad Ehsanul Kader, Md. Asif Haider | Results in Physics, Elsevier, 2021

Check my Google Scholar for the updated list.

Academic Services

Program Committee

• Artifact Evaluation Committee Member, ISSTA 2026
• PC Member, DL4Code Workshop @ ICML 2026
• PC Member, Agentic SE Workshop @ KDD 2026
• PC Member, BLP Workshop @ IJCNLP-AACL 2025

Organizing Committee

• Schedule Chair, IEEE/ACM ICSE 2026
• Co-organizer, Deep Learning Sprint 2.0 Kaggle Competition, BUET CSE Fest 2023