IT service management automation - A hybrid methodology to integrate and orchestrate collaborative human centric and automation centric workflows. - Naga Ayachitula; Melissa J. Buco; Yixin Diao; Maheswaran Surendra; Raju Pavuluri; Larisa Shwartz; Christopher Ward (IEEE SCC, 2007)

Implementing a high-volume, low-latency market data processing system on commodity hardware using IBM middleware. - Xiaolan Joy Zhang; Henrique Andrade; Bugra Gedik; Richard King; John F. Morar; Senthil Nathan; Yoonho Park; Raju Pavuluri; Edward Pring; Randall Schnier; Philippe Selo; Michael Spicer; et al. (SC-WHPCF, 2009)

A Prediction-Optimization Framework for Site-Wide Process Optimization. - Dharmashankar Subramanian; Pavankumar Murali; Nianjun Zhou; Xiang Ma; Giovane Cesar Da Silva; Raju Pavuluri; Jayant Kalagnanam (ICIOT, 2019)

Automating Multi-level Performance Elastic Components for IBM Streams. - Xiang Ni; Scott Schneider 001; Raju Pavuluri; Jonathan Kaus; Kun-Lung Wu (Middleware, 2019)

Automated multi-dimensional elasticity for streaming runtimes: poster. - Xiang Ni; Scott Schneider 001; Raju Pavuluri; Jonathan Kaus; Kun-Lung Wu (PPoPP, 2019)

Time Series Representation Learning with Contrastive Triplet Selection. - Yuan-Chi Chang; Dharmashankar Subramanian; Raju Pavuluri; Timothy Dinger (COMAD/CODS, 2022)

AI-Based Real-Time Site-Wide Optimization for Process Manufacturing. - Jayant Kalagnanam; Dzung T. Phan; Pavankumar Murali; Lam M. Nguyen; Nianjun Zhou; Dharmashankar Subramanian; Raju Pavuluri; Xiang Ma; Crystal Lui; Giovane Cesar Da Silva (INFORMS J. Appl. Anal., 2022)

CoSiNES: Contrastive Siamese Network for Entity Standardization. - Jiaqing Yuan; Michele Merler; Mihir Choudhury; Raju Pavuluri; Munindar P. Singh; Maja Vukovic (CoRR, 2023)

Understanding the Effectiveness of Large Language Models in Code Translation. - Rangeet Pan; Ali Reza Ibrahimzada; Rahul Krishna; Divya Sankar; Lambert Pouguem Wassi; Michele Merler; Boris Sobolev; Raju Pavuluri; Saurabh Sinha; Reyhaneh Jabbarvand (CoRR, 2023)

On Coordinating LLMs and Platform Knowledge for Software Modernization and New Developments. - Hong Linh Truong 001; Maja Vukovic; Raju Pavuluri (SSE, 2024)

Lost in Translation: A Study of Bugs Introduced by Large Language Models while Translating Code. - Rangeet Pan; Ali Reza Ibrahimzada; Rahul Krishna; Divya Sankar; Lambert Pouguem Wassi; Michele Merler; Boris Sobolev; Raju Pavuluri; Saurabh Sinha; Reyhaneh Jabbarvand (ICSE, 2024)

Granite Code Models: A Family of Open Foundation Models for Code Intelligence. - Mayank Mishra; Matt Stallone; Gaoyuan Zhang; Yikang Shen; Aditya Prasad; Adriana Meza Soria; Michele Merler; Parameswaran Selvam; Saptha Surendran; Shivdeep Singh; Manish Sethi; Xuan-Hong Dang; et al. (CoRR, 2024)

Multi-language Unit Test Generation using LLMs. - Rangeet Pan; Myeongsoo Kim; Rahul Krishna; Raju Pavuluri; Saurabh Sinha (CoRR, 2024)

Codellm-Devkit: A Framework for Contextualizing Code LLMs with Program Analysis Insights. - Rahul Krishna; Rangeet Pan; Saurabh Sinha; Srikanth Tamilselvam; Raju Pavuluri; Maja Vukovic (SIGSOFT FSE Companion, 2025)