Afif Al Mamun

I am Afif, a graduate student at the University of Calgary, supervised by Dr. Gias Uddin and working with IBM CAS Canada. I also serve as a Graduate Assistant in Research & Teaching at UCalgary. Alongside my studies, I am currently working as an intern at IBM Canada through Mitacs Accelerate. My current research centers on Large Language Models and Software Engineering, areas I am deeply passionate about. Before my graduate studies, I worked for several years as a Software Engineer specializing in AI. During this time, I had the opportunity to contribute to various cutting-edge projects across different domains. I was also honored with a gold medal upon receiving my Bachelor of Science degree.

Homepage: https://afif.me

Awards & Honors

• Alberta Graduate Excellence Scholarship (AGES)
  University of Calgary, 2025

• ESE Graduate Research Award
  University of Calgary, 2025

• ACM SIGSOFT Distinguished Paper Award
  ACM International Conference on the Foundations of Software Engineering (FSE), 2025
  Awarded for the paper “Hallucination Detection in Large Language Models with Metamorphic Relations.”

• IBM CAS Project of the Year Award
  IBM Canada, 2024

• Alberta Graduate Excellence Scholarship (AGES)
  University of Calgary, 2024

• ESE Graduate Research Award
  University of Calgary, 2024

• 50 Years Victory of Bangladesh Gold Medal
  Daffodil International University, 2022

• Professor Dr. M. Lutfar Rahman Scholarship
  Daffodil International University, 2017

Publications & Research Contributions

• Hallucination Detection in Large Language Models with Metamorphic Relations
  Yang Borui, Md Afif Al Mamun, Jie Zhang, Gias Uddin
  Proceedings of the ACM International Conference on the Foundations of Software Engineering (FSE), 2025.
  🏆 ACM SIGSOFT Distinguished Paper Award.
  This work introduces metamorphic relations to systematically detect hallucinations in LLMs, advancing reliability analysis for AI-assisted software engineering.

• Evaluating Deep Learning Based Domain Generalization for Motion Mitigation in Multi-Center Brain MRI
  Saad Ashraf, Md Afif Al Mamun, Mumu Akter, Roberto Souza, Mariana Bento
  Reconstruction and Imaging Motion Estimation (RIME), 2025.
  Investigates domain generalization strategies to improve robustness of motion mitigation models across multi-center MRI datasets.

• TLNet: A Deep CNN Model for Prediction of Tomato Leaf Diseases
  Md Afif Al Mamun, Dewan Ziaul Karim, Subroto Nag Pinku, Tasfia Anika Bushra
  International Conference on Computer and Information Technology (ICCIT), 2020.
  Proposes a convolutional neural network for accurate plant disease detection from leaf images.

• Bangla Music Genre Classification Using Neural Network
  Md Afif Al Mamun, Imamul Kadir, AKM Shahariar Azad Rabby, Abdullah Al Azmi
  International Conference on System Modeling and Advancement in Research Trends (SMART), 2019.
  Presents a neural-network-based approach for genre classification in Bangla music.

Undegrad Thesis

• an-Eye: Safe Navigation in Footpath for Visually Impaired Using Computer Vision Techniques
  Md Afif Al Mamun (Undergraduate Thesis), 2020.
  A computer-vision-driven assistive navigation system designed to enhance mobility for visually impaired individuals.