Publications

Browse our complete collection of research publications.

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Type

Author

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Showing 1-20 of 236 publications

HELM: Compiler-Guided Heterogeneous Execution for Large Language Models on Memory-Constrained Systems

Shashwat Pandey

2026

ADAPT: Asymmetric Device Adaptive Parallel Training for Small-Scale Heterogeneous Systems

Rishab Kashyap

2026

ProGIP: Protecting Gradient-based Input Perturbation Approaches for Out-of-distribution Detection From Soft Errors

Sumedh Joshi; Hwisoo So; Aviral Shrivastava

2025Proceedings of the 2025 International Conference on Hardware/Software Codesign and System Synthesis

SIGN: A Scalable Incident Detection, Localization, and Severity Estimation using Graph Neural Networks

Kaustubh Harapanahalli

2025

LUCI: Lightweight UI Command Interface

Guna Lagudu; Vinayak Sharma; Aviral Shrivastava

2025Proceedings of Languages, Compilers, Tools and Theory of Embedded Systems (LCTES)

DSP-MLIR: A Domain-Specific Language and MLIR Dialect for Digital Signal Processing

Abhinav Kumar; Atharva Khedkar; Hwisoo So; Megan Kuo; Ameya Gurjar; Partha Biswas; Aviral Shrivastava

2025Proceedings of Languages, Compilers, Tools and Theory of Embedded Systems (LCTES)

Cooperative Driving of Connected Autonomous Vehicles in Smart Cities using Responsibility-Sensitive Safety Rules

Mohammad Khayatian; Mohammadreza Mehrabian; Harshith Alamsetti; Aviral Shrivastava

2025

TIPANGLE: Traffic Tracking at City Scale by Pose Estimation of Pan and Tilt Traffic Cameras on Edge Devices

Shreehari Jagadeesha; Edward Andert; Aviral Shrivastava

2025IEEE International Conference on Very Large System Integration and Embedded Systems

Adversarial Defense on Harmony: Reverse Attack for Robust Models Against Adversarial Attack

Yebon Kim; Jinhyo Jung; Hyunjun Kim; Hwisoo So; Yohan Ko; Aviral Shrivastava; Kyoungwoo Lee; Uiwon Hwang

2024IEEE Access
Paper

ProGIP: Protecting Gradient-based Input Perturbation Approaches for Out-of-distribution Detection From Soft Errors

Sumedh Joshi

2024

AEGIS: A Special-Purpose Computer Network For Strategic Cyber Defense

Francis Mendoza

2024

Primer on Data in Quantum Machine Learning

Aviral Shrivastava; Vinayak Sharma

20242024 International Conference on Compilers, Architecture, and Synthesis for Embedded Systems (CASES)

DSP-MLIR: A Compiler for Digital Signal Processing in MLIR

Abhinav Kumar; Aviral Shrivastava

2024

IncidentNet: Traffic Incident Detection, Localization and Severity Estimation with Sparse Sensing

Sai Shashank Peddiraju; Kaustubh Harapanahalli; Edward Andert; Aviral Shrivastava

20242024 IEEE 27th International Conference on Intelligent Transportation Systems (ITSC)

Conclave - Secure and Robust Cooperative Perception for Connected Autonomous Vehicle Using Authenticated Consensus and Trust Scoring

Edward Andert; Francis Mendoza; Hans Behrens; Aviral Shrivastava

2024Proceedings of the 61st ACM/IEEE Design Automation Conference

Maintaining Sanity: Algorithm-based Comprehensive Fault Tolerance for CNNs

Jinhyo Jung; Hwisoo So; Woobin Ko; Sumedh Shridhar Joshi; Yebon Kim; Yohan Ko; Aviral Shrivastava; Kyoungwoo Lee

2024Proceedings of the 61st ACM/IEEE Design Automation Conference

An Agile Methodology for Designing Efficient Domain-Specific Architectures

Shail Dave

2024

IncidentNet: Traffic Incident Detection, Localization and Severity Estimation with Sparse Sensing

Sai Shashank Peddiraju

2024

Systems and methods for agile and explainable optimization of efficient hardware/software codesigns for domain-specific computing systems using bottleneck analysis

Shail Dave; Aviral Shrivastava; Tony Nowatzki

2024

LUCI: Multi-Application Orchestration Agent

Guna Lagudu

2024
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