Hello, This is Asif! I am a first-year PhD student in Informatics (Software Engineering) at the University of California, Irvine. My research interests broadly lie at the intersection of Software Engineering, Artifiicial Intelligence and Human Factors in Computing. I work 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 research also explored applied Deep Learning in healthcare domain.

When I’m not doing research, I love to travel around and see the world. 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

Check my Google Scholar page for the updated list.

• 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

Academic Services

Program Committee

• PC Member, Junior PC and Mining Challenge @ MSR 2027
• PC Member, BLP Workshop @ NAACL 2027, IJCNLP-AACL 2025
• Artifact Evaluation Committee Member, ASE 2026
• Artifact Evaluation Committee Member, ISSTA 2026
• PC Member, DL4Code Workshop @ ICML 2026
• PC Member, Agentic SE Workshop @ KDD 2026

Journal Review

• Reviewer, Empirical Software Engineering (EMSE), 2026

Organizing Committee

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