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 include Empirical Software Engineering, Developer Experience, and Software Repository Mining. 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 Engineering.

Originally from 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 Code Review and Repair Generation.

I usually travel quite a bit during my vacations. I also enjoy books, music, and movies! My love for the stage has taken different forms over the years: from doing vocals in our (amateur) rock/metal band during college days to performing with my high school theatre club at national festivals. In an alternate universe, I would have become a full-time poet. In this one, maybe owning a cattle ranch somewhere in Texas and doing nothing else could still fix me.

Selected Publications

• Understanding Dominant Themes in Reviewing Agentic AI-authored Code
  Md. Asif Haider, Thomas Zimmermann | MSR ‘26

• Advancing Automatic Code Review and Code Refinement Generation Using Large Language Models
  Md. Asif Haider, Ayesha Binte Mostofa, Sk. Sabit Bin Mosaddek, Anindya Iqbal, Toufique Ahmed | arXiv

• 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 ‘25

• 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 ‘23

• 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

See my Google Scholar for the updated list.