Krishnasuri Narayanam

Employment

• IBM Research - India
  2010 - Present
• Symantec Software India Pvt. Ltd.
  2006 - 2010

Education

• Indian Institute of Technology Madras M.S (By Research)
  2004 - 2006
• Acharya Nagarjuna University B.Tech
  2000 - 2004

Projects & Funding

Projects & funding information is unavailable.

Publications (29)

• Sustainable Computing: State-of-the-Art and Future Outlook
  2026 DOI: 10.1145/3803520
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• Towards Performance and Energy Aware Kubernetes Scheduler
  ACM SIGEnergy Energy Informatics Review 2025 DOI: 10.1145/3757892.3757902
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• CodeGenWrangler: Data Wrangling task automation using Code-Generating Models
  Proceedings of the 2025 Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics Human Language Technologies Long Papers Naacl Hlt 2025 2025 DOI: 10.18653/v1/2025.naacl-industry.70
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• Data Wrangling Task Automation Using Code-Generating Language Models
  Proceedings of the Aaai Conference on Artificial Intelligence 2025 DOI: 10.1609/aaai.v39i28.35344
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• Data Wrangling Task Automation Using Code-Generating Language Models
  Arxiv 2025 DOI: 10.48550/arXiv.2502.15732
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• Quality Assessment of Tabular Data using Large Language Models and Code Generation
  Emnlp 2025 2025 Conference on Empirical Methods in Natural Language Processing Proceedings of the Industry Track 2025 DOI: 10.18653/v1/2025.emnlp-industry.183
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• Quality Assessment of Tabular Data using Large Language Models and Code Generation
  Arxiv 2025 DOI: 10.48550/arXiv.2509.10572
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• Question-guided Insights Generation for Automated Exploratory Data Analysis
  Proceedings of the Aaai Conference on Artificial Intelligence 2025 DOI: 10.1609/aaai.v39i28.35360
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• Energy-minimizing workload splitting and frequency selection for guaranteed performance over heterogeneous cores
  2024 DOI: 10.1145/3632775.3661968
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• QUIS: Question-guided Insights Generation for Automated Exploratory Data Analysis
  Emnlp 2024 2024 Conference on Empirical Methods in Natural Language Processing Proceedings of the Industry Track 2024 DOI: 10.18653/v1/2024.emnlp-industry.111
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