Faculty
Banani Roy
Assistant ProfessorDr. Banani Roy is an Assistant Professor at the Department of Computer Science, University of Saskatchewan and the Director of iSE Lab (I see lab). Her research mission is to develop tools and techniques for engineering usable software systems and to increase software developers productivity. Her details could be found at her homepage.
Current Graduate Students
I am fortunate to have the following outstanding graduate students. A few of them are co-supervised with Dr. Kevin Schneider and Dr. Chanchal Roy.
Sristy S. Nath
PHD CANDIDATEThesis/Project Title: Humanizing the Release Notes Generation Process
Khairul Alam
PHD CANDIDATEKhairul Alam is a PhD student who joined the lab after completing his Master’s from the same department. His research interest is in large-scale data analysis with scientific workflows. He also works with crowdsource knowledge base (e.g., Workflow Repositories, StackOverflow) and software repositories (e.g., GitHub)to retrieve valuable insights. He develops tools and techniques to assist software developers and domain scientists.
Saumendu Roy (Saumo)
PHD CANDIDATESaumo is a third-year Ph.D. student who joined the lab after completing his Bachelor’s and Master’s in Computer Science and Engineering from Jessore University of Science and Technology (JUST), Bangladesh. He works with Explainable Machine Learning (XAI), a cutting-edge AI and ML research topic. It brings together computer science, data science, psychology, ethics, and more professionals to demystify AI and ensure these powerful technologies function as reliable decision-support tools. His research interests are mostly explainability, software engineering, maintenance, and machine learning.
Shamse T. Cynthia
PHD CANDIDATEShamse Tasnim Cynthia is a PhD student in the iSE Lab. She finished her Master’s from the same lab. Her research focuses on modelling adaptive user interfaces in Scientific Workflow Management Systems and investigating how preferences affect modelling in different environments, including graphical, textual, and visually guided scripting editors.
Palash Ranjan Roy
MSc CANDIDATEPalash is a passionate Masters’s student in computer science, deeply engrossed in research focused on the intersection of Software Clones and Large Language Models. In the realm of Software Clones, he tirelessly explores the intricacies of code duplication, striving to enhance code quality, reduce maintenance challenges, and uncover opportunities for innovation in software development. Simultaneously, he delves into the world of Large Language Models, harnessing their immense potential to revolutionize natural language understanding, text generation and even automate complex tasks. This dual research focus not only exemplifies his commitment to advancing both software engineering and artificial intelligence but also fuels his drive to contribute meaningfully to the dynamic realms of computer science and robotics, where these two domains often intersect in transformative ways.
Parnian Eslamloo
MSc CANDIDATEParnian completed her Bachelor’s degree in Information Technology in Iran and has since pursued her master’s studies here at the U of S. She has a profound interest in research areas related to Natural Language Processing (NLP) and human-centric software. Her overarching goal is to harness NLP and related techniques to facilitate and enhance the interaction between humans and computers, making technology more accessible and user-friendly.
Mostafa AbediniAla
MSc StudentThesis/Project Title: Developing a framework for provenance analysis in real-time Collaborative Scientific Workflow Management System.
Naz Zarreen Oishie
MSc CandidateThesis/Project Title: Usability pattern analysis for bug inducing commits (Co-supervised).
Avijit Bhattacharjee
MSc CandidateThesis/Project Title: Interactive and Visual Software Analytics for Software Renovation.
Muhammad Mainul Hossain
PhD Candidate and Senior Research ScientistThesis/Project Title: A Visually Guided Scripting Framework for Supporting Complex Scientific Data Analysis (co-supervised).
Kawser Wazed Nafi
PhD CandidateThesis/Project Title: Cross language program similarity analysis for recommending tools in building scientific workflows (co-supervised).
Current Research Assistants/Summer Interns
I work with undergraduate students for training them to get acquainted with my research program and to facilitate my team’s research progress.
Paromita Sengupta
Research AssistantProject: Developing an architectural analysis tool to facilitate understanding of a legacy System: A case study with CRHM.
Justin Schneider
Summer InternProject: Nex-Gen CRHM JSON Modelling Tool Development.
Students (co-)supervised
Debasish Chakroborti (Joy)
MSc (co-supervised)Thesis/Project Title: Optimized Storing of Workflow Outputs for better Scientific Workflow. Joy defended his thesis in August 2019.
Orthi Podder
Summer StudentProject: Facilitating user study design for the research project VizSciFlow. Worked in summer 2019,
Past Mentored Students
(Unofficially co-supervised as Lead Research Associate)
Golam Mostaeen
MSc. StudentThesis/Project Title: Towards Collaborative Scientific Workflow Management System. Defended his thesis in December 2018.
Rayhan Ferdous
MSc StudentThesis/Project Title: Workflow Provenance: from Modeling to Reporting. Defended his thesis in December 2018.
Amit Kumar Mondal
MSc StudentTowards a Reference Architecture for Cloud-Based Plant Genotyping and Phenotyping Analysis Frameworks
Shahriar Rahman
Summer InternProject: Developing automated scripts for developing Haddop/Spark cluster using Ansible and Heat. Worked as a summer intern in 2018.