Scholar
Dr. Shubham Kumar Nigam
Google Scholar ID: 73t3-rQAAAAJ
University of Birmingham, BharatGen, DAAD Postdoc-NeT-AI Fellow, IIT Kanpur, Adobe
AI for Health Care
Explainable Legal AI
Legal Data Analytics
NLP
Generative AI
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Citations & Impact
All-time
Citations
429
H-index
11
i10-index
11
Publications
20
Co-authors
12
list available
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Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
Introduced the Court Judgment Prediction and Explanation (CJPE) benchmark task in Legal NLP during Ph.D.
Built large-scale legal datasets: ILDC, NyayaAnumana, and TathyaNyaya.
Developed domain-specific LLMs: InLegalLLaMA, FactLegalLLaMA, and RhetoricLLaMA.
Published at top-tier venues including ACL, EMNLP, NAACL, and COLING.
Recipient of the DAAD Postdoc-NeT-AI Fellowship (Germany) for research in trustworthy and explainable AI.
Open-sourced models and datasets via BharatGen and L-NLProc on HuggingFace.
Co-authors
12 total
Arnab Bhattacharya
Computer Science and Engineering, Indian Institute of Technology, Kanpur
Kripabandhu Ghosh
Assistant Professor, IISER Kolkata, India
Ashutosh Modi
Indian Institute of Technology Kanpur
Saptarshi Ghosh
Department of CSE, Indian Institute of Technology Kharagpur, India
Debasis Ganguly
Asst. Professor, University of Glasgow
Koustav Rudra
Assistant Professor, IIT Kharagpur
Co-author 7
Pawan Goyal
Associate Professor, Computer Science and Engineering, IIT Kharagpur
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