8
Publications
100
Citations
6
h-index
3
Research Areas

Research Areas

AI Reliability
Developing methods to improve the dependability and trustworthiness of AI systems through fault detection, diagnosis, and prevention techniques.
Automated Debugging
Creating innovative approaches to detect, analyze, and repair faults in AI systems using automated tools and techniques.
Software Engineering for AI
Bridging the gap between traditional software engineering practices and AI development to improve development workflows.

Presentations & Talks

2025
Article Presentation: "Can Hessian-Based Insights Support Fault Diagnosis in Attention-Based Models?"
FSE, Trondheim, Norway, June 2025
2025
Article Presentation: "Improved Detection and Diagnosis of Faults in Deep Neural Networks Using Hierarchical and Explainable Classification"
ICSE, Ottawa, Canada, May 2025
2025
Research Talk: "Improved Detection and Diagnosis of Faults in Deep Neural Networks"
Consortium for Software Engineering Research (CSER), Halifax, Canada, Spring 2025
2025
Research Talk: "Improved Understanding, Detection, and Diagnosis of Faults in Deep Neural Networks"
Paul Gauthier Visit, Dalhousie University AI Institute, Halifax, NS, July 2025
2024
Poster Presentation: "Towards Understanding the Challenges of Bug Localization in Deep Learning Systems"
SEMLA Symposium, Montreal, Canada, June 2024
2023
Article Presentation: "Towards Understanding the Impacts of Textual Dissimilarity on Duplicate Bug Report Detection"
SANER, Macao, China, March 2023
2020
Article Presentation: "Deep Residual Learning Approach for Plant Disease Recognition"
ICMCSI, Kathmandu, Nepal, January 2020
2025
Workshop: "Behind the Scenes: Shared Practices for Effective Teaching Assistants"
TA Days Workshop, Dalhousie University, Halifax, NS, September 2025
2025
Workshop Panelist: "ChatGPT: What is it? Should you use it? Can you use it? How do you use it?"
OpenThink Program & Dalhousie Faculty of Graduate Studies, April 2025
2024
Workshop Panelist: "Community-Engaged Learning: Exploring New Opportunities for Moving Student Learning into Community"
Lifting Nova Scotia Workshop, Dalhousie University, May 2024

Publications

Why Attention Fails: A Taxonomy of Faults in Attention-Based Neural Networks
Sigma Jahan, S. Rajput, T. Sharma, M.M. Rahman
48th IEEE/ACM International Conference on Software Engineering (ICSE) A* , 2026, Research Track (Accepted) Acceptance: 9.06% (direct)
1 citations
2026
conference
Can Hessian-Based Insights Support Fault Diagnosis in Attention-Based Models?
Sigma Jahan, M.M. Rahman
33rd ACM SIGSOFT International Symposium on the Foundations of Software Engineering (FSE) A* , 2025, Ideas, Visions, and Reflections Track (Published) Acceptance: 22.06%
0 citations
2025
conference
Improved Detection and Diagnosis of Faults in Deep Neural Networks Using Hierarchical and Explainable Classification
Sigma Jahan, B.M. Shah, M. Parvez Robin, M.M. Rahman
47th IEEE/ACM International Conference on Software Engineering (ICSE) A* , 2025, Research Track (Published) Acceptance: 21.30%
7 citations
2025
conference
Towards Understanding the Challenges of Bug Localization in Deep Learning Systems
Sigma Jahan, B.M. Shah, M.M. Rahman
Empirical Software Engineering (EMSE) A , 2025, Vol. 30, Article 156 (Published)
6 citations
2025
journal
Towards Understanding the Impacts of Textual Dissimilarity on Duplicate Bug Report Detection
Sigma Jahan, M.M. Rahman
IEEE International Conference on Software Analysis, Evolution and Reengineering (SANER) A , 2023, Research Track (Published) Acceptance: 27%
19 citations
2023
conference
Botnet Detection in IoT Devices Using Random Forest Classifier with Independent Component Analysis
N.S. Akash, S. Rouf, Sigma Jahan, A. Chowdhury, J. Uddin
Journal of Information and Communication Technology (JICT) Scopus Q3 , 2022, Vol. 21, No. 2, pp. 201–232 (Published)
34 citations
2022
journal
A Novel Hybrid Signal Decomposition Technique for Transfer Learning Based Industrial Fault Diagnosis
Z.M. Ruhi, Sigma Jahan, J. Uddin
Annals of Emerging Technologies in Computing (AETiC) Scopus Q3 , 2021, Vol. 5, No. 4, pp. 37–53 (Published)
7 citations
2021
journal
Deep Residual Learning Approach for Plant Disease Recognition
M.I. Pavel, R.I. Rumi, F. Fairooz, Sigma Jahan, M.A. Hossain
International Conference on Mobile Computing and Sustainable Informatics (ICMCSI) , 2020, pp. 511–521, Springer (Published)
26 citations
2020
conference