An automated video surveillance system using Viewpoint Feature Histogram and CUDA-enabled GPUs. - Saurabh Jha; Priyank Trivedi (ICACCI, 2013)

Exploiting data parallelism in the yConvex hypergraph algorithm for image representation using GPGPUs. - Saurabh Jha; Tejaswi Agarwal; B. Rajesh Kanna (ICS, 2013)

P-HGRMS: A Parallel Hypergraph Based Root Mean Square Algorithm for Image Denoising. - Tejaswi Agarwal; Saurabh Jha; B. Rajesh Kanna (CoRR, 2013)

A Parallel Simulated Annealing Approach for the Mirrored Traveling Tournament Problem. - Vijay Menon; Saurabh Jha (CoRR, 2013)

BbmTTP: beat-based parallel simulated annealing algorithm on GPGPUs for the mirrored traveling tournament problem. - Saurabh Jha; Vijay Menon (SpringSim (HPS), 2014)

LogDiver: A Tool for Measuring Resilience of Extreme-Scale Systems and Applications. - Catello Di Martino; Saurabh Jha; William Kramer 001; Zbigniew T. Kalbarczyk; Ravishankar K. Iyer (FTXS@HPDC, 2015)

Improving Main Memory Hash Joins on Intel Xeon Phi Processors: An Experimental Approach. - Saurabh Jha; Bingsheng He; Mian Lu; Xuntao Cheng; Huynh Phung Huynh (Proc. VLDB Endow., 2015)

Holistic Measurement-Driven System Assessment. - Saurabh Jha; Jim M. Brandt; Ann C. Gentile; Zbigniew Kalbarczyk; Gregory H. Bauer; Jeremy Enos; Michael T. Showerman; Larry Kaplan; Brett M. Bode; Annette Greiner; Amanda Bonnie; Mike Mason; et al. (CLUSTER, 2017)

Characterizing Supercomputer Traffic Networks Through Link-Level Analysis. - Saurabh Jha; Jim M. Brandt; Ann C. Gentile; Zbigniew Kalbarczyk; Ravishankar K. Iyer (CLUSTER, 2018)

Hands Off the Wheel in Autonomous Vehicles?: A Systems Perspective on over a Million Miles of Field Data. - Subho S. Banerjee; Saurabh Jha; James Cyriac; Zbigniew T. Kalbarczyk; Ravishankar K. Iyer (DSN, 2018)

AVFI: Fault Injection for Autonomous Vehicles. - Saurabh Jha; Subho S. Banerjee; James Cyriac; Zbigniew T. Kalbarczyk; Ravishankar K. Iyer (DSN Workshops, 2018)

Resiliency of HPC Interconnects: A Case Study of Interconnect Failures and Recovery in Blue Waters. - Saurabh Jha; Valerio Formicola; Catello Di Martino; Mark Dalton; William T. Kramer; Zbigniew Kalbarczyk; Ravishankar K. Iyer (IEEE Trans. Dependable Secur. Comput., 2018)

Towards a Bayesian Approach for Assessing Fault Tolerance of Deep Neural Networks. - Subho S. Banerjee; James Cyriac; Saurabh Jha; Zbigniew T. Kalbarczyk; Ravishankar K. Iyer (DSN (Supplements), 2019)

ML-Based Fault Injection for Autonomous Vehicles: A Case for Bayesian Fault Injection. - Saurabh Jha; Subho S. Banerjee; Timothy Tsai 002; Siva Kumar Sastry Hari; Michael B. Sullivan 001; Zbigniew T. Kalbarczyk; Stephen W. Keckler; Ravishankar K. Iyer (DSN, 2019)

A Study of Network Congestion in Two Supercomputing High-Speed Interconnects. - Saurabh Jha; Archit Patke; Jim M. Brandt; Ann C. Gentile; Mike Showerman; Eric Roman; Zbigniew T. Kalbarczyk; Bill Kramer 001; Ravishankar K. Iyer (Hot Interconnects, 2019)

Understanding Fault Scenarios and Impacts through Fault Injection Experiments in Cielo. - Valerio Formicola; Saurabh Jha; Daniel Chen 001; Fei Deng; Amanda Bonnie; Mike Mason; Jim M. Brandt; Ann C. Gentile; Larry Kaplan; Jason Repik; Jeremy Enos; Mike Showerman; et al. (CoRR, 2019)

Kayotee: A Fault Injection-based System to Assess the Safety and Reliability of Autonomous Vehicles to Faults and Errors. - Saurabh Jha; Timothy Tsai 002; Siva Kumar Sastry Hari; Michael B. Sullivan 001; Zbigniew Kalbarczyk; Stephen W. Keckler; Ravishankar K. Iyer (CoRR, 2019)

Live Forensics for Distributed Storage Systems. - Saurabh Jha; Shengkun Cui; Tianyin Xu; Jeremy Enos; Mike Showerman; Mark Dalton; Zbigniew T. Kalbarczyk; William T. Kramer; Ravishankar K. Iyer (CoRR, 2019)

Inductive Bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters. - Subho S. Banerjee; Saurabh Jha; Ravishankar K. Iyer (CoRR, 2019)

ML-Driven Malware that Targets AV Safety. - Saurabh Jha; Shengkun Cui; Subho S. Banerjee; James Cyriac; Timothy Tsai 002; Zbigniew Kalbarczyk; Ravishankar K. Iyer (DSN, 2020)

Inductive-bias-driven Reinforcement Learning For Efficient Schedules in Heterogeneous Clusters. - Subho S. Banerjee; Saurabh Jha; Zbigniew Kalbarczyk; Ravishankar K. Iyer (ICML, 2020)

AV-FUZZER: Finding Safety Violations in Autonomous Driving Systems. - Guanpeng Li; Yiran Li; Saurabh Jha; Timothy Tsai 002; Michael B. Sullivan 001; Siva Kumar Sastry Hari; Zbigniew Kalbarczyk; Ravishankar K. Iyer (ISSRE, 2020)

Measuring Congestion in High-Performance Datacenter Interconnects. - Saurabh Jha; Archit Patke; Jim M. Brandt; Ann C. Gentile; Benjamin Lim; Mike Showerman; Greg Bauer 001; Larry Kaplan; Zbigniew Kalbarczyk; William Kramer 001; Ravi K. Iyer (NSDI, 2020)

FIRM: An Intelligent Fine-grained Resource Management Framework for SLO-Oriented Microservices. - Haoran Qiu; Subho S. Banerjee; Saurabh Jha; Zbigniew T. Kalbarczyk; Ravishankar K. Iyer (OSDI, 2020)

Live forensics for HPC systems: a case study on distributed storage systems. - Saurabh Jha; Shengkun Cui; Subho S. Banerjee; Tianyin Xu; Jeremy Enos; Mike Showerman; Zbigniew T. Kalbarczyk; Ravishankar K. Iyer (SC, 2020)

ML-driven Malware that Targets AV Safety. - Saurabh Jha; Shengkun Cui; Subho S. Banerjee; Timothy Tsai 002; Zbigniew Kalbarczyk; Ravishankar K. Iyer (CoRR, 2020)

Application-aware Congestion Mitigation forHigh-Performance Computing Systems. - Archit Patke; Saurabh Jha; Haoran Qiu; Jim M. Brandt; Ann C. Gentile; Joe Greenseid; Zbigniew Kalbarczyk; Ravishankar K. Iyer (CoRR, 2020)

A fuzzy logic based approach for prediction of basal cell carcinoma and squamous cell carcinoma among the data of skin cancer. - Saurabh Jha; Ashok Kumar Mehta; Chandrashekhar Azad (EAI Endorsed Trans. Pervasive Health Technol., 2020)

BayesPerf: minimizing performance monitoring errors using Bayesian statistics. - Subho S. Banerjee; Saurabh Jha; Zbigniew Kalbarczyk; Ravishankar K. Iyer (ASPLOS, 2021)

Computer-Aided Segmentation of Polyps Using Mask R-CNN and Approach to Reduce False Positives. - Saurabh Jha; Balaji Jagtap; Srijan Mazumdar; Saugata Sinha (FICTA (1), 2021)

Delay sensitivity-driven congestion mitigation for HPC systems. - Archit Patke; Saurabh Jha; Haoran Qiu; Jim M. Brandt; Ann C. Gentile; Joe Greenseid; Zbigniew Kalbarczyk; Ravishankar K. Iyer (ICS, 2021)

Decoding Radiology: A Brief History. - Saurabh Jha (Computer-Aided Diagnosis, 2021)

Is Function-as-a-Service a Good Fit for Latency-Critical Services? - Haoran Qiu; Saurabh Jha; Subho S. Banerjee; Archit Patke; Chen Wang 039; Hubertus Franke; Zbigniew T. Kalbarczyk; Ravishankar K. Iyer (WOSC@Middleware, 2021)

Watch out for the risky actors: Assessing risk in dynamic environments for safe driving. - Saurabh Jha; Yan Miao; Zbigniew Kalbarczyk; Ravishankar K. Iyer (CoRR, 2021)

Localizing and Explaining Faults in Microservices Using Distributed Tracing. - Jesus Rios; Saurabh Jha; Laura Shwartz (CLOUD, 2022)

Exploiting Temporal Data Diversity for Detecting Safety-critical Faults in AV Compute Systems. - Saurabh Jha; Shengkun Cui; Timothy Tsai 002; Siva Kumar Sastry Hari; Michael B. Sullivan 001; Zbigniew T. Kalbarczyk; Stephen W. Keckler; Ravishankar K. Iyer (DSN, 2022)

Evaluating Hardware Memory Disaggregation under Delay and Contention. - Archit Patke; Haoran Qiu; Saurabh Jha; Srikumar Venugopal; Michele Gazzetti; Christian Pinto; Zbigniew Kalbarczyk; Ravishankar K. Iyer (IPDPS Workshops, 2022)

A fault injection platform for learning AIOps models. - Frank Bagehorn; Jesus Rios; Saurabh Jha; Robert Filepp; Larisa Shwartz; Naoki Abe; Xi Yang (ASE, 2022)

An evolutionary algorithm based feature selection and fuzzy rule reduction technique for the prediction of skin cancer. - Saurabh Jha; Ashok Kumar Mehta (Concurr. Comput. Pract. Exp., 2022)

Watch Out for the Safety-Threatening Actors: Proactively Mitigating Safety Hazards. - Saurabh Jha; Shengkun Cui; Zbigniew Kalbarczyk; Ravishankar K. Iyer (CoRR, 2022)

Data-Driven Application-Oriented Reliability Model of a High-Performance Computing System. - Bentolhoda Jafary; Saurabh Jha; Lance Fiondella; Ravishankar K. Iyer (IEEE Trans. Reliab., 2022)

Fault Injection Based Interventional Causal Learning for Distributed Applications. - Qing Wang 016; Jesus Rios; Saurabh Jha; Karthikeyan Shanmugam; Frank Bagehorn; Xi Yang; Robert Filepp; Naoki Abe; Larisa Shwartz (AAAI, 2023)

Meta-learning Generalized AIOps Models for Multi-cloud Computer using Digital Twins. - Xi Yang; Saurabh Jha; Paulito Palmes; Bekir O. Turkkan; Gerard Vanloo; Chandra Narayanaswami; Larisa Shwartz (CASCON, 2023)

SAM: Subseries Augmentation-Based Meta-Learning for Generalizing AIOps Models in Multi-Cloud Migration. - Xi Yang; Paulito Palmes; Saurabh Jha; Bekir O. Turkkan; Gerard Vanloo; Frank Bagehorn; Chandra Narayanaswami; Larisa Shwartz; Naoki Abe; Yu Deng 004; Daby M. Sow (CLOUD, 2024)

Optimizing IT FinOps and Sustainability through Unsupervised Workload Characterization. - Xi Yang; Rohan R. Arora; Saurabh Jha; Chandra Narayanaswami; Cheuk Lam; Jerrold Leichter; Yu Deng 004; Daby M. Sow (AAAI, 2024)

Queue Management for SLO-Oriented Large Language Model Serving. - Archit Patke; Dhemath Reddy; Saurabh Jha; Haoran Qiu; Christian Pinto; Chandra Narayanaswami; Zbigniew Kalbarczyk; Ravishankar K. Iyer (SoCC, 2024)

iPrism: Characterize and Mitigate Risk by Quantifying Change in Escape Routes. - Shengkun Cui; Saurabh Jha; Ziheng Chen 006; Zbigniew T. Kalbarczvk; Ravishankar K. Iyer (DSN, 2024)

Fault Localization Using Interventional Causal Learning for Cloud-Native Applications. - Saurabh Jha; Jesus Rios; Naoki Abe; Frank Bagehorn; Laura Shwartz (DSN-S, 2024)

When Green Computing Meets Performance and Resilience SLOs. - Haoran Qiu; Weichao Mao; Chen Wang 039; Saurabh Jha; Hubertus Franke; Chandra Narayanaswami; Zbigniew Kalbarczyk; Tamer Basar; Ravishankar K. Iyer (DSN-S, 2024)

Power-aware Deep Learning Model Serving with μ-Serve. - Haoran Qiu; Weichao Mao; Archit Patke; Shengkun Cui; Saurabh Jha; Chen Wang 039; Hubertus Franke; Zbigniew Kalbarczyk; Tamer Basar; Ravishankar K. Iyer (USENIX ATC, 2024)

Blue Waters system and component reliability. - Brett M. Bode; David King; Celso L. Mendes; William T. Kramer; Saurabh Jha; Roger Ford; Justin Davis; Steven Dramstad (Concurr. Comput. Pract. Exp., 2024)

Efficient Interactive LLM Serving with Proxy Model-based Sequence Length Prediction. - Haoran Qiu; Weichao Mao; Archit Patke; Shengkun Cui; Saurabh Jha; Chen Wang 039; Hubertus Franke; Zbigniew T. Kalbarczyk; Tamer Basar; Ravishankar K. Iyer (CoRR, 2024)

One Queue Is All You Need: Resolving Head-of-Line Blocking in Large Language Model Serving. - Archit Patke; Dhemath Reddy; Saurabh Jha; Haoran Qiu; Christian Pinto; Shengkun Cui; Chandra Narayanaswami; Zbigniew Kalbarczyk; Ravishankar K. Iyer (CoRR, 2024)

Benchmarking AI Agents for IT Automation Tasks with ITBench. - Jackson Clark; Rohan R. Arora; Saurabh Jha (DSN-S, 2025)

Characterizing Modern GPU Resilience and Impact in HPC Systems: A Case Study of A100 GPUs. - Shengkun Cui; Archit Patke; Ziheng Chen 006; Aditya Ranjan; Hung Nguyen; Phuong Cao; Brett M. Bode; Gregory H. Bauer; Saurabh Jha; Chandra Narayanaswami; Daby Sow; Catello Di Martino; et al. (DSN-W, 2025)

Hierarchical Autoscaling for Large Language Model Serving with Chiron. - Archit Patke; Dhemath Reddy; Saurabh Jha; Chandra Narayanaswami; Zbigniew Kalbarczyk; Ravishankar K. Iyer (CoRR, 2025)

ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks. - Saurabh Jha; Rohan R. Arora; Yuji Watanabe; Takumi Yanagawa; Yinfang Chen; Jackson Clark; Bhavya; Mudit Verma; Harshit Kumar; Hirokuni Kitahara; Noah Zheutlin; Saki Takano; et al. (CoRR, 2025)

Causal AI-based Root Cause Identification: Research to Practice at Scale. - Saurabh Jha; Ameet Rahane; Laura Shwartz; Marc Palaci-Olgun; Frank Bagehorn; Jesus Rios; Dan Stingaciu; Ragu Kattinakere; Debasish Banerjee (CoRR, 2025)

Characterizing GPU Resilience and Impact on AI/HPC Systems. - Shengkun Cui; Archit Patke; Ziheng Chen 006; Aditya Ranjan; Hung Nguyen; Phuong Cao; Saurabh Jha; Brett M. Bode; Gregory H. Bauer; Chandra Narayanaswami; Daby Sow; Catello Di Martino; et al. (CoRR, 2025)

INDIGO: Page Migration for Hardware Memory Disaggregation Across a Network. - Archit Patke; Christian Pinto; Saurabh Jha; Haoran Qiu; Zbigniew Kalbarczyk; Ravishankar K. Iyer (CoRR, 2025)

STRATUS: A Multi-agent System for Autonomous Reliability Engineering of Modern Clouds. - Yinfang Chen; Jiaqi Pan; Jackson Clark; Yiming Su; Noah Zheutlin; Bhavya; Rohan R. Arora; Yu Deng 004; Saurabh Jha; Tianyin Xu (CoRR, 2025)

CogniSQL-R1-Zero: Lightweight Reinforced Reasoning for Efficient SQL Generation. - Kushal Gajjar; Harshit Sikchi; Arpit Singh Gautam; Marc Hammons; Saurabh Jha (CoRR, 2025)