Diptikalyan Saha  Diptikalyan Saha photo         

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Senior Technical Staff Member and Manager
India Research Laboratory, Bangalore, India
  +91dash80dash67043702

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Professional Associations:  ACM

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I am a Senior Technical Staff Member and manager of Reliable AI team in Data&AI department of IBM Research at Bangalore. 

My research interest includes Artificial Intelligence, Natural Language Processing, Knowledge representation, Program Analysis, Security, Software Debugging, Testing, Verification, and Programming Languages.  My current focus is on building dependable AI systems using bias and adversarial AI testing, debugging, and verification. I am also building natural language dialogue systems for cognitive interaction with structured and unstructured data. My past projects in IBM are related to Automated Fault Localization, Program Repair, Program Equivalence, Program Refactoring, Program Tracing and Profiling, Program Migration/Translation, API Extraction, and Grammar Inference.

 

I received my Ph.D. degree in Computer Science from the State University of New York at Stony Brook. My advisors were Prof. C. R. Ramakrishnan and Prof. Scott A. Smolka. I received my B.E. degree in Computer Science and Engineering from Jadavpur University. Prior to joining IBM Research, I have worked with Motorola India Research Lab at Bangalore and Interra IT at Noida.

Latest News:

 

  • Paper accepted at AAAI'21 titled "Generate Your Counterfactuals: Towards Controlled Counterfactual Generation for Text"
    - Nishtha Madaan, Inkit Padhi, Naveen Panwar, Diptikalyan Saha
  • I am invited to serve on the PC of ISEC 2021 
  • I am invited to serve on the PC of ICDE 2021 (Demo Track)
  • I am invited to serve on the PC of FAcct 2021 (Research Track)
  • 3 Papers accepted at CODS-COMAD 2021
  • Paper accepted at VLDB 2020 titled ATHENA++: Natural Language Querying for Complex Nested SQL Queries. 
  • I am invited to serve on the PC of ICSE 2021 (Research Track)
  • I am invited to serve on the PC of ESEC/FSE 2021 (Research Track)
  • Our work on Data Rule creation and anomaly detection is available through CP4D
  • I am invited to serve on the PC of AI4SG 2020 workshop 
  • I am invited to serve on the PC of ICSOC 2021 (Research Track)
  • Our work on Fairness Verification got accepted at UAI 2020. Code and Paper is available thru http://www.auai.org/uai2020/accepted.php
  • Our work on Explainable Payload Data Drift in AI Systems is available through AI OpenScale in IBM Cloud
  • I am invited to serve on the PC of ESEC/FSE 2020 https://2020.esec-fse.org/
  • I am invited to serve on the PC of ICSOC 2020 (Research Track)
  • I am invited to serve on the PC of VLDB 2020 (Research Track)
  • I am invited to serve as the PC Co-Chair of ISEC 2020
  • I am invited to serve on the PC of CODS-COMADS 2020 
  • Our work on Bias in AI Systems is available through AI OpenScale in IBM Cloud as well as thru open-source AI Fairness 360