Publications

Thesis

A. Gujarati. Towards ‘Ultra-Reliable’ CPS: Reliability Analysis of Distributed Real-Time Systems. MPI-SWS and TU Kaiserslautern, 2020. SIGBED Paul Caspi Memorial Dissertation Award | PDF | Slides | BibTex

Conferences

H. Zhao, Z. Zhao, A. Gujarati. SAGA: Schedule Abstraction Graphs at GPU Speed To appear at RTSS 2026.

P. Schowitz, S. Sharma, S. Sinha, A. Gujarati. GPU-Aware Response-Time Analysis for Holoscan Applications under CUDA Green Contexts. To appear at RTSS 2026.

P. Schowitz, S. Sharma, S. Balodi, S. Sinha, B. Shepherd, and A. Gujarati. Faster, Exact, More General Response-time Analysis for NVIDIA Holoscan Applications. RTSS 2025. PDF | Slides | Code

V. Bode, W. Shen, A. Gujarati. EtherTime: Cross-vendor Evaluation of PTP/NTP on Ethernet-based COTS Embedded Platforms. RTCSA 2025. Best Student Paper Award | PDF | Slides | Code | Dataset

A. Chan, A. Gujarati, K. Pattabiraman, and S. Gopalakrishnan. ReMIX: Resilience for ML Ensembles using XAI at Inference against Faulty Training Data. DSN 2025. PDF | Slides | Code

A. Chan, A. Gujarati, K. Pattabiraman, and S. Gopalakrishnan. D-semble: Efficient Diversity-Guided Search for Resilient ML Ensembles. SAC 2025. PDF | Slides | Code

P. Schowitz, S. Sinha, and A. Gujarati. Response-Time Analysis of a Soft Real-time NVIDIA Holoscan Application. RTSS 2024. PDF | Slides | Code

Z. Wattoo, P. Vitis, R. Zhu, N. Depner, I. Zhang, J. Hein, A. Gujarati, and M. Seltzer. Practical Experience Report: RABIT, a Robot Arm Bug Intervention Tool for Self-Driving Labs. DSN 2024. PDF | Code

A. Chan, A. Gujarati, K. Pattabiraman, and S. Gopalakrishnan. Evaluating the Effect of Common Annotation Faults on Object Detection Techniques. ISSRE 2023. PDF | Code

A. Gujarati, N. Yang, and B. Brandenburg. In-ConcReTeS: Interactive Consistency meets Distributed Real-Time Systems, Again! RTSS 2022. Best Paper Award | PDF | Slides | Teaser Video | Code

A. Gujarati, Z. Wattoo, M. Aliabadi, S. Clark, X. Liu, P. Shiri, A. Trivedi, R. Zhu, J. Hein, and M. Seltzer. Arming IDS Researchers with a Robotic Arm Dataset. DSN 2022. PDF | Slides | Video | Teaser Video | Code

A. Chan, A. Gujarati, K. Pattabiraman, and S. Gopalakrishnan. The Fault in Our Data Stars: Studying Mitigation Techniques against Faulty Training Data in ML Applications. DSN 2022. PDF | Slides | Teaser Video | Code

A. Chan, N. Narayanan, A. Gujarati, K. Pattabiraman, and S. Gopalakrishnan. Understanding the Resilience of Neural Network Ensembles against Faulty Training Data. QRS 2021. Best Paper Award | PDF | Video | Code

A. Gujarati, S. Bozhko, and B. Brandenburg. Real-Time Replica Consistency over Ethernet with Reliability Bounds. RTAS 2020. Distinguished Paper Award | PDF | Extended Version | Slides | Video

A. Gujarati, M. Nasri, R. Majumdar, and B. Brandenburg. From Iteration to System Failure: Characterizing the FITness of Periodic Weakly-Hard Systems. ECRTS 2019. PDF | Extended Version | Slides

A. Gujarati, M. Nasri, and B. Brandenburg. Quantifying the Resiliency of Fail-Operational Real-Time Networked Control Systems. ECRTS 2018. Best Presentation Award | PDF | Extended Version | Slides | Poster

M. Vanga, A. Gujarati, and B. Brandenburg. Tableau: A High-Throughput and Predictable VM Scheduler for High-Density Workloads. EuroSys 2018. PDF

A. Gujarati, S. Elnikety, Y. He, K. McKinley, and B. Brandenburg. Swayam: Distributed Autoscaling to Meet SLAs of Machine Learning Inference Services with Resource Efficiency. Middleware 2017. Best Student Paper Award | Paper | Appendix | Slides

A. Gujarati, and B. Brandenburg. When is CAN the Weakest Link? A Bound on Failures-In-Time in CAN-Based Real-Time Systems. RTSS 2015. PDF | Slides | Poster

F. Cerqueira, A. Gujarati, and B. Brandenburg. Linux’s Processor Affinity API, Refined: Shifting Real-Time Tasks towards Higher Schedulability. RTSS 2014. PDF | Slides | RTEMS Patch

A. Gujarati, F. Cerqueira, and B. Brandenburg. Schedulability Analysis of the Linux Push and Pull Scheduler with Arbitrary Processor Affinities. ECRTS 2013. Outstanding Paper Award | PDF | Slides | Poster

Journals

O. Pandith, M. K. Pandit, A. Gujarati, A. Mehta, R. Sen. IceEdge: Thermal-Aware Machine Learning Inference Serving for Emerging Edge Applications. ACM Transactions on Sensor Networks 2026. PDF | ACM DL Link

A. Gujarati, F. Cerqueira, B. Brandenburg, and G. Nelissen. Correspondence Article: A Correction of the Reduction-Based Schedulability Analysis for APA Scheduling. Real-Time Systems 2018. PDF | Springer Link

A. Gujarati, F. Cerqueira, and B. Brandenburg. Multiprocessor Real-Time Scheduling with Arbitrary Processor Affinities: From Practice to Theory. Real-Time Systems 2015. PDF | Springer Link

Workshops

A. Chan, A. Gujarati, K. Pattabiraman, and S. Gopalakrishnan. Hierarchical Unlearning Framework for Multi-Class Classification. FITML 2024. PDF | Slides

A. Chan, A. Gujarati, K. Pattabiraman, and S. Gopalakrishnan. Harnessing Explainability to Improve ML Ensemble Resilience. DSN 2024 Disrupt Track. PDF | Slides

A. Gujarati, S. Gopalakrishnan, and K. Pattabiraman. New Wine in an Old Bottle: N-Version Programming for Machine Learning Components. WoSoCer 2020. PDF | Slides

M. Nasri, A. Gujarati, and B. Brandenburg. Using Schedule-Abstraction Graphs for the Analysis of CAN Message Response Times. CERTS 2018. PDF | Slides

A. Gujarati, M. Nasri, and B. Brandenburg. Lower-Bounding the MTTF for Systems with (m, k) Constraints and IID Iteration Failure Probabilities. CERTS 2017. PDF | Technical Report | Slides