Scholar
Diptikalyan Saha
Google Scholar ID: epwtlHgAAAAJ
Researcher at IBM Research India
Citations & Impact
Citations
3,965
H-index
19
i10-index
33
Publications
20
Co-authors
0
Contact
Publications
Resume (English only)
Academic Achievements
- Papers accepted at ICSE 2026, ASE 2025, FSE 2025, and other conferences. Organized the First workshop on 'AI for Software Modernization' (AISM) at ASE 2025. Invited to serve as PC Co-Chair of FSE Industry Track 2023 and workshop chair for ISEC 2023. Presented at multiple international conferences.
Research Experience
- Before joining IBM Research, he worked at Motorola India Research Lab, Bangalore, and Interra IT, Noida. His current research focuses on API Testing, Z Testing, ABAP Testing, and Chaos Testing. He also works on evaluating AI models for fairness, robustness, and explainability, as well as broader challenges including model comparison, fault localization, and verification of AI systems.
Education
- Ph.D. in Computer Science from the State University of New York at Stony Brook, advised by Prof. C. R. Ramakrishnan and Prof. Scott A. Smolka. B.E. in Computer Science and Engineering from Jadavpur University.
Background
- A Senior Technical Staff Member and Master Inventor at IBM Research, Bangalore. His research interests span Artificial Intelligence (AI), Natural Language Processing (NLP), Knowledge Representation, Program Analysis, Security, Software Debugging, Testing and Verification, and Programming Languages. His current focus is on AI Testing, which he categorizes into two complementary areas: AI4Testing – applying AI techniques to improve software testing; and Testing4AI – testing AI models to ensure their trustworthiness.
Co-authors