Studies MSc in Computer Science
Graduate Teaching Assistant
at University of Saskatchewan
Currently, I am affiliated with the Software Research Lab at the University of Saskatchewan, where I am immersed in cutting-edge research spanning automated program repair, software mining, and the utilization of large language models in software engineering. This journey is part of my thesis-based master's program, guided by the esteemed Prof. Chanchal Roy. My academic journey began at BRAC University, where I graduated with Highest Distinction in 2020. During my time there, my passion for research blossomed, particularly in the realms of machine learning and signal processing. Under the guidance of Prof. Md. Jalil Piran and Prof. Amitabha Chakraborty, I delved into various projects, laying the groundwork for my current pursuits. Additionally, I had the privilege of contributing as a volunteer teacher for Stanford University's Code in Place program and served as a mentor for the Natural Language Processing Specialization offered by DeepLearning.AI, further enriching my understanding and passion for the field.
Investigating the Utility of ChatGPT in the Issue Tracking System: An Exploratory Study
Joy Krishan Das, Saikat Mondal, Chanchal K Roy
Conference: Mining Software Repositories 2024
[Paper]
Environmental sound classification using convolution neural networks with different integrated loss functions.
Joy Krishan Das, Md. Jalil Piran, Amitabha Chakrabarty
Expert Systems 39, no. 5 (2022): e12804.
[Paper]
Urban sound classification using convolutional neural network and long short term memory based on multiple features.
Joy Krishan Das, Arka Ghosh, Abhijit Kumar Pal, Sumit Dutta, Amitabha Chakrabarty
in Proceedings 2020 Fourth International Conference On Intelligent Computing in Data Sciences (ICDS), pp. 1-9. IEEE, 2020.
[Paper]