Exploiting MAS-Based Simulation to Improve the Indian Railways' Efficiency. - Supriyo Ghosh; Animesh Dutta; Viviana Mascardi; Daniela Briola (MATES, 2013)

Dynamic Redeployment to Counter Congestion or Starvation in Vehicle Sharing Systems. - Supriyo Ghosh; Pradeep Varakantham; Yossiri Adulyasak; Patrick Jaillet (AAAI Workshop: AI for Cities, 2015)

Probabilistic Inference Based Message-Passing for Resource Constrained DCOPs. - Supriyo Ghosh; Akshat Kumar; Pradeep Varakantham (IJCAI, 2015)

Strategic Planning for Setting Up Base Stations in Emergency Medical Systems. - Supriyo Ghosh; Pradeep Varakantham (ICAPS, 2016)

Robust Repositioning to Counter Unpredictable Demand in Bike Sharing Systems. - Supriyo Ghosh; Michael A. Trick; Pradeep Varakantham (IJCAI, 2016)

Incentivizing the Use of Bike Trailers for Dynamic Repositioning in Bike Sharing Systems. - Supriyo Ghosh; Pradeep Varakantham (ICAPS, 2017)

Online Repositioning in Bike Sharing Systems. - Meghna Lowalekar; Pradeep Varakantham; Supriyo Ghosh; Sanjay Dominik Jena; Patrick Jaillet (ICAPS, 2017)

Dynamic Repositioning to Reduce Lost Demand in Bike Sharing Systems. - Supriyo Ghosh; Pradeep Varakantham; Yossiri Adulyasak; Patrick Jaillet (J. Artif. Intell. Res., 2017)

Dispatch Guided Allocation Optimization for Effective Emergency Response. - Supriyo Ghosh; Pradeep Varakantham (AAAI, 2018)

Reserved Optimisation: Handling Incident Priorities in Emergency Response Systems. - Muralidhar Konda; Supriyo Ghosh; Pradeep Varakantham (ICAPS, 2018)

Improving Customer Satisfaction in Bike Sharing Systems through Dynamic Repositioning. - Supriyo Ghosh; Jing Yu Koh; Patrick Jaillet (IJCAI, 2019)

A Deep Ensemble Multi-Agent Reinforcement Learning Approach for Air Traffic Control. - Supriyo Ghosh; Sean Laguna; Shiau Hong Lim; Laura Wynter; Hasan Poonawala (CoRR, 2020)

Tusas: A fully implicit parallel approach for coupled nonlinear equations. - Supriyo Ghosh; Christopher K. Newman; Marianne M. Francois (CoRR, 2020)

A Deep Ensemble Method for Multi-Agent Reinforcement Learning: A Case Study on Air Traffic Control. - Supriyo Ghosh; Sean Laguna; Shiau Hong Lim; Laura Wynter; Hasan Poonawala (ICAPS, 2021)

Picking Pearl From Seabed: Extracting Artefacts from Noisy Issue Triaging Collaborative Conversations for Hybrid Cloud Services. - Amar Prakash Azad; Supriyo Ghosh; Ajay Gupta; Harshit Kumar; Prateeti Mohapatra (CoRR, 2021)

Picking Pearl from Seabed: Extracting Artefacts from Noisy Issue Triaging Collaborative Conversations for Hybrid Cloud Services. - Amar Prakash Azad; Supriyo Ghosh; Ajay Gupta; Harshit Kumar; Prateeti Mohapatra; Lena Eckstein; Leonard Posner; Robert Kern (AAAI, 2022)

How to fight production incidents?: an empirical study on a large-scale cloud service. - Supriyo Ghosh; Manish Shetty; Chetan Bansal; Suman Nath (SoCC, 2022)

Neural-progressive hedging: Enforcing constraints in reinforcement learning with stochastic programming. - Supriyo Ghosh; Laura Wynter; Shiau Hong Lim; Duc Thien Nguyen (UAI, 2022)

An iterative security game for computing robust and adaptive network flows. - Supriyo Ghosh; Patrick Jaillet (Comput. Oper. Res., 2022)

Tusas: A fully implicit parallel approach for coupled phase-field equations. - Supriyo Ghosh; Christopher K. Newman; Marianne M. Francois (J. Comput. Phys., 2022)

Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models. - Toufique Ahmed; Supriyo Ghosh; Chetan Bansal; Thomas Zimmermann 001; Xuchao Zhang; Saravan Rajmohan (ICSE, 2023)

Deep Offline Reinforcement Learning for Real-world Treatment Optimization Applications. - Mila Nambiar; Supriyo Ghosh; Priscilla Ong; Yu En Chan; Yong Mong Bee; Pavitra Krishnaswamy (KDD, 2023)

Detection Is Better Than Cure: A Cloud Incidents Perspective. - Vaibhav Ganatra; Anjaly Parayil; Supriyo Ghosh; Yu Kang 006; Minghua Ma; Chetan Bansal; Suman Nath; Jonathan Mace (ESEC/SIGSOFT FSE, 2023)

Empowering Practical Root Cause Analysis by Large Language Models for Cloud Incidents. - Yinfang Chen; Huaibing Xie; Minghua Ma; Yu Kang 006; Xin Gao; Liu Shi; Yunjie Cao; Xuedong Gao; Hao Fan; Ming Wen 001; Jun Zeng 006; Supriyo Ghosh; et al. (CoRR, 2023)

Automatic Root Cause Analysis via Large Language Models for Cloud Incidents. - Yinfang Chen; Huaibing Xie; Minghua Ma; Yu Kang 006; Xin Gao; Liu Shi; Yunjie Cao; Xuedong Gao; Hao Fan; Ming Wen 001; Jun Zeng 006; Supriyo Ghosh; et al. (EuroSys, 2024)

X-Lifecycle Learning for Cloud Incident Management using LLMs. - Drishti Goel; Fiza Husain; Aditya Singh; Supriyo Ghosh; Anjaly Parayil; Chetan Bansal; Xuchao Zhang; Saravan Rajmohan (SIGSOFT FSE Companion, 2024)

Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4. - Xuchao Zhang; Supriyo Ghosh; Chetan Bansal; Rujia Wang; Minghua Ma; Yu Kang 006; Saravan Rajmohan (SIGSOFT FSE Companion, 2024)

Dependency Aware Incident Linking in Large Cloud Systems. - Supriyo Ghosh; Karish Grover; Jimmy Wong; Chetan Bansal; Rakesh Namineni; Mohit Verma; Saravan Rajmohan (WWW (Companion Volume), 2024)

Kinetics of orbital ordering in cooperative Jahn-Teller models: Machine-learning enabled large-scale simulations. - Supriyo Ghosh; Sheng Zhang; Chen Cheng; Gia-Wei Chern (CoRR, 2024)

TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning. - Shivam Shandilya; Menglin Xia; Supriyo Ghosh; Huiqiang Jiang; Jue Zhang; Qianhui Wu; Victor Rühle (CoRR, 2024)

Unveiling Context-Aware Criteria in Self-Assessing LLMs. - Taneesh Gupta; Shivam Shandilya; Xuchao Zhang; Supriyo Ghosh; Chetan Bansal; Huaxiu Yao; Saravan Rajmohan (CoRR, 2024)

Streetwise Agents: Empowering Offline RL Policies to Outsmart Exogenous Stochastic Disturbances in RTC. - Aditya Soni; Mayukh Das; Anjaly Parayil; Supriyo Ghosh; Shivam Shandilya; Ching-An Cheng; Vishak Gopal; Sami Khairy; Gabriel Mittag; Yasaman Hosseinkashi; Chetan Bansal (CoRR, 2024)

CARMO: Dynamic Criteria Generation for Context Aware Reward Modelling. - Taneesh Gupta; Shivam Shandilya; Xuchao Zhang; Rahul Madhavan; Supriyo Ghosh; Chetan Bansal; Huaxiu Yao; Saravan Rajmohan (ACL (Findings), 2025)

TACO-RL: Task Aware Prompt Compression Optimization with Reinforcement Learning. - Shivam Shandilya; Menglin Xia; Supriyo Ghosh; Huiqiang Jiang; Jue Zhang; Qianhui Wu; Victor Rühle; Saravan Rajmohan (ACL (Findings), 2025)

eARCO: Efficient Automated Root Cause Analysis with Prompt Optimization. - Drishti Goel; Raghav Magazine; Supriyo Ghosh; Akshay Nambi 001; Prathamesh Deshpande; Xuchao Zhang; Chetan Bansal; Saravan Rajmohan (CoRR, 2025)