Mostafijur Rahman Akhond

PhD Student, York University

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EECS

York University

I am a PhD student at York University, Canada. My research interests lie at the intersection of Software Engineering, Large Language Models (LLMs), and AI-driven software systems, with a particular focus on software verification, AI for Software Engineering (AI4SE), and Software Engineering for AI (SE4AI).

Previously, I served as an Assistant Professor in the Department of Computer Science and Engineering at Jashore University of Science and Technology (JUST), Bangladesh, where I am currently on study leave. I completed my MSc in Computer Science and Engineering at Kyung Hee University, South Korea, under the supervision of Prof. Young-Koo Lee at the Data and Knowledge Engineering (DKE) Lab. I obtained my BSc in Software Engineering from the Institute of Information Technology, University of Dhaka.

Before joining academia, I worked as a Software Engineer and Research Assistant across multiple institutions and industry organizations. My research spans community search, big data, distributed systems, data mining, machine learning, and software engineering, with recent emphasis on generative AI and formal verification.

Publications

2025

  • Applications and Challenges of Fairness APIs in Machine Learning Software
    Ajoy Das, Gias Uddin, Shaiful Chowdhury, Mostafijur Rahman Akhond, Hadi Hemmati
    ACM Transactions on Software Engineering and Methodology (TOSEM), 2025.

  • LLM for Loop Invariant Generation and Fixing: How Far Are We?
    Mostafijur Rahman Akhond, Saikat Chakraborty, Gias Uddin
    arXiv preprint, 2025.

  • LLM-Assisted Coding with Metamorphic Specification Mutation Agent
    Mostafijur Rahman Akhond, Gias Uddin
    arXiv preprint, 2025.

2024

  • Behavioral Intentions of University Teachers and Students Toward the Adoption of the Hyb-Blended Learning Method: Evidence from Bangladesh
    Mohammad Kamal Hossain, Md Abdus Salam, Mostafijur Rahman Akhond
    Heliyon, vol. 10, no. 14, 2024.

  • Software Test Case Minimization Using Modified Firefly Technique
    Md Shazzad Ali Sobuj, Syed Rizwan, Mostafijur Rahman Akhond
    International Congress on Information and Communication Technology (ICICT), Springer, 2024.

2023

  • Enhancing Rice Crop Management: Disease Classification Using Convolutional Neural Networks and Mobile Application Integration
    Md Mehedi Hasan, Touficur Rahman, AFM Shahab Uddin, Syed Md Galib, Mostafijur Rahman Akhond, Md Jashim Uddin, Md Alam Hossain
    Agriculture, vol. 13, no. 8, 2023.

  • Machine Learning and Image Processing Techniques for Rice Disease Detection: A Critical Analysis
    Md Mehedi Hasan, AFM Shahab Uddin, Mostafijur Rahman Akhond, Md Jashim Uddin, Md Alamgir Hossain, Md Alam Hossain
    International Journal of Plant Biology, vol. 14, no. 4, 2023.

  • Decision Support System for Agriculture: Crop Disease Recognition and Classification Through an Optimized CNN
    Md Taslim, Md Shafiuzzaman, Mostafijur Rahman Akhond, Md Alam Hossain
    E-PALLI International Conferences (EIC), 2023.

2022

  • Protein Secondary Structure Prediction Using Hybrid Recurrent Neural Networks
    Romana Rahman Ema, A. Khatun, MdA Hossain, Mostafijur Rahman Akhond, Nazmul Hossain, Md Yasir Arafat
    Journal of Computer Science, vol. 18, no. 7, pp. 599–611, 2022.

  • Rainfall Prediction System for Bangladesh Using Long Short-Term Memory
    Mustain Billah, Md Nasim Adnan, Mostafijur Rahman Akhond, Romana Rahman Ema, Md Alam Hossain, Syed Md Galib
    Open Computer Science, vol. 12, no. 1, pp. 323–331, 2022.

  • A Systematic Review of Sentiment Analysis from Bengali Text Using NLP
    Atish Kumar Dipongkor Suma Hira, Saumik Chowdhury, Mostafijur Rahman Akhond, Syed Md Galib, et al.
    American Journal of Agricultural Science, Engineering and Technology, vol. 6, no. 3, 2022.

  • A Survey on Software Test Case Minimization
    Syed Rizwan, Md Shazzad Ali Sobuj, Mostafijur Rahman Akhond
    International Conference on Contemporary

2021

  • RansomListener: Ransom Call Sound Investigation Using LSTM and CNN Architectures
    Rafeed Rahman, Mehfuz A. Rahman, Shahriar Hossain, Sajid Hossain, Mostafijur Rahman Akhond, Muhammad Iqbal Hossain
    IEEE ICICT, 2021.

2020

  • Evaluation of Earthquake Resistance of Urban Buildings Using Image Processing and Machine Learning Techniques
    Tahsinur Rahman, Yasin Ahmed, Tawsiful Alam, Md Hasibur Rahman Shakil, Md Tanjidul Hossain, Fiaruz Nawer Khan, Shakib Mahmud Dipto, Mostafijur Rahman Akhond, Md Ashraful Alam
    IEEE CSDE, 2020.

  • Dominance of Deep LSTM in Smartphone Sensor-Based Human Activity Classification
    Amir Faiyaz, Md Sifat Ibn Awlad, Nazmuddin Al Masood, Mostafijur Rahman Akhond, Md Golam Rabiul Alam
    IEEE CSDE, 2020.

2018

  • Similarity Estimation for Large-Scale Human Action Video Data on Spark
    Weihua Xu, Md Azher Uddin, Batjargal Dolgorsuren, Mostafijur Rahman Akhond, Kifayat Ullah Khan, Md Ibrahim Hossain, Young-Koo Lee
    Applied Sciences, vol. 8, no. 5, 2018.

  • Dynamic Scene Recognition Using Spatiotemporal-Based DLTP on Spark
    Md Azher Uddin, Mostafijur Rahman Akhond, Young-Koo Lee
    IEEE Access, vol. 6, pp. 66123–66133, 2018.

  • Distributed In-Memory Granularity-Based Time-Series Graph Compression
    Aftab Alam, Muhammad Umair, Batjargal Dolgorsuren, Mostafijur Rahman Akhond, Mohammed A. S. Ali, Umair Qudus, Young-Koo Lee
    Proceedings of the Korean Information Science Society Conference, 2018.