Tiny Robot Learning: Challenges and Directions for Machine Learning in Resource-Constrained Robots. - Sabrina M. Neuman; Brian Plancher; Bardienus Pieter Duisterhof; Srivatsan Krishnan; Colby R. Banbury; Mark Mazumder; Shvetank Prakash; Jason Jabbour; Aleksandra Faust; Guido C. H. E. de Croon; Vijay Janapa Reddi (AICAS, 2022)

Integrating Voice-Based Machine Learning Technology into Complex Home Environments. - Ye Gao; Jason Jabbour; Eunjung Ko; Lahiru Nuwan Wijayasingha; Sooyoung Kim; Zetao Wang; Meiyi Ma; Karen Rose 001; Kristina Gordon; Hongning Wang; John A. Stankovic (CoRR, 2022)

Out-of-the-Box Deployment to Support Research on In-Home Care of Alzheimer's Patients. - Ye Gao; Jason Jabbour; Emma C. Schlegel; Meiyi Ma; Matthew McCall; Lahiru N. S. Wijayasingha; Eunjung Ko; Kristina Gordon; Karen Rose 001; Hongning Wang; John A. Stankovic (IEEE Pervasive Comput., 2022)

ArchGym: An Open-Source Gymnasium for Machine Learning Assisted Architecture Design. - Srivatsan Krishnan; Amir Yazdanbakhsh; Shvetank Prakash; Jason Jabbour; Ikechukwu Uchendu; Susobhan Ghosh; Behzad Boroujerdian; Daniel Richins; Devashree Tripathy; Aleksandra Faust; Vijay Janapa Reddi (ISCA, 2023)

RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance. - Víctor Mayoral Vilches; Jason Jabbour; Yu-Shun Hsiao; Zishen Wan; Alejandra Martínez-Fariña; Martiño Crespo-Álvarez; Matthew Stewart; Juan Manuel Reina-Muñoz; Prateek Nagras; Gaurav Vikhe; Mohammad Bakhshalipour; Martin Pinzger 001; et al. (CoRR, 2023)

Generative AI Agents in Autonomous Machines: A Safety Perspective. - Jason Jabbour; Vijay Janapa Reddi (ICCAD, 2024)

RobotPerf: An Open-Source, Vendor-Agnostic, Benchmarking Suite for Evaluating Robotics Computing System Performance. - Víctor Mayoral Vilches; Jason Jabbour; Yu-Shun Hsiao; Zishen Wan; Martiño Crespo-Álvarez; Matthew Stewart; Juan Manuel Reina-Muñoz; Prateek Nagras; Gaurav Vikhe; Mohammad Bakhshalipour; Martin Pinzger 001; Stefan Rass; et al. (ICRA, 2024)

ReCA: Integrated Acceleration for Real-Time and Efficient Cooperative Embodied Autonomous Agents. - Zishen Wan; Yuhang Du; Mohamed Ibrahim 002; Jiayi Qian; Jason Jabbour; Yang (Katie) Zhao; Tushar Krishna; Arijit Raychowdhury; Vijay Janapa Reddi (ASPLOS (2), 2025)

Generative AI in Embodied Systems: System-Level Analysis of Performance, Efficiency and Scalability. - Zishen Wan; Jiayi Qian; Yuhang Du; Jason Jabbour; Yilun Du; Yang Zhao 013; Arijit Raychowdhury; Tushar Krishna; Vijay Janapa Reddi (ISPASS, 2025)

SocratiQ: A Generative AI-Powered Learning Companion for Personalized Education and Broader Accessibility. - Jason Jabbour; Kai Kleinbard; Olivia Miller; Robert Haussman; Vijay Janapa Reddi (CoRR, 2025)

A2Perf: Real-World Autonomous Agents Benchmark. - Ikechukwu Uchendu; Jason Jabbour; Korneel Van den Berghe; Joel Runevic; Matthew Stewart; Jeffrey Ma; Srivatsan Krishnan; Izzeddin Gur; Austin Huang; Colton Bishop; Paige Bailey; Wenjie Jiang 001; et al. (CoRR, 2025)

Multi-Agent Reinforcement Learning for Sample-Efficient Deep Neural Network Mapping. - Srivatsan Krishnan; Jason Jabbour; Dan Zhang; Natasha Jaques; Aleksandra Faust; Shayegan Omidshafiei; Vijay Janapa Reddi (CoRR, 2025)