SOME OF MY MOST RECENT SCHOLARLY WORK
I have pursued research in many aspects of Computer Systems Design including parallel architectures, programmability, fault-tolerance and reliability, hardware computer security, and design of Autonomous Driving Systems. My work has been published in some of the most prestigious venues in our field, including various IEEE publications and I have given many invited presentations at international conferences, universities, and industrial organisations (e.g., CCF Chips 2025, Technion, IBM). Most recently, I have published some of the following accomplishments:
Technology Forecasting
- 2026 IEEE International Roadmap on Devices and Systems (IRDS) - Autonomous Machine Computing May 2026
- IEEE Computer Society Technology Predictions 2025-2026
- IEEE Computer Society Technology Predictions 2024 (Cyber Security focus) – IEEE Computer
- 2023 IEEE International Roadmap on Devices and Systems (IRDS) - Autonomous Machine Computing (White Paper)
Education
- Engineering Education in the Age of Autonomous Machines. Shaoshan Liu, Jean-Luc Gaudiot, and Hironori Kasahara, Computer, April 2021
- Computer Education in the Age of COVID-19. Jean-Luc Gaudiot and Hironori Kasahara, Computer, Oct. 2020
- RHE: A JVM Courseware. Shaoshan Liu, Jie Tang, Chengrui Deng, Xiao-Feng Li and Jean-Luc Gaudiot, IEEE Transactions on Education, April, 2010
Autonomous Driving Systems
- Dataflow Accelerator Architecture for Autonomous Machine Computing. Shaoshan Liu, Yuhao Zhu, Bo Yu, Jean-Luc Gaudiot, and Guang R. Gao, 2024 ACM/IEEE International Conference on Computer-Aided Design
- Creating Autonomous Vehicle Systems, Second Edition. Shaoshan Liu, Liyun Li, Jie Tang, Shuang Wu, and Jean-Luc Gaudiot, Morgan & Claypool Publishers, 2020
- Rise of the Autonomous Machines. Shaoshan Liu and Jean-Luc Gaudiot, IEEE Computer, January 2022
- A
Container Based Edge Offloading Framework For Autonomous Driving.
Jie Tang, Rao Yu, Shaoshan Liu, and Jean-Luc Gaudiot , IEEE Access, February 2020
- Autonomous Vehicles
Should Start Small, Go Slow. Shaoshan Liu and Jean-Luc Gaudiot,
IEEE Spectrum, March 2020
Hardware Cyber Security
- A Data-Driven Approach Using Hardware Performance Counters to Detect Micro-Architectural Attacks . Jaya Kotha and Jean-Luc Gaudiot, 2025 IEEE 49th Annual Computers, Software, and Applications Conference (COMPSAC), July 2025
- Detecting Spectre Attacks Using Hardware Performance Counters. Congmiao Li and Jean-Luc Gaudiot, IEEE Transactions on Computers, June 2022 (Article of the Month)
Machine Learning Strategies
- Adaptive Aggregated
Drift Detector. Beverly Abadines Quon and Jean-Luc Gaudiot
Data-centric Machine Learning Research (DMLR) Workshop at ICML 2023 - Concept drift detection for distributed multi-model machine learning systems. Beverly Abadines Quon and Jean-Luc Gaudiot, 2022 COMPSAC
Heterogeneous Parallel Architectures
- PDAWL: Profile-based Iterative Dynamic Adaptive WorkLoad Balance on Heterogeneous Architectures. Tongsheng Geng, Marcos Amaris, Stephane Zuckerman, Alfredo Goldman, Guang R. Gao, and Jean-Luc Gaudiot, 23rd Workshop on Job Scheduling Strategies for Parallel Processing (JSSPP 2020), May 22, 2020
