Ryan Antonio

Phd student

Hardware-efficient AI and ML

+32 498 85 99 85

ryan.antonio@esat.kuleuven.be

Marian Verhelst

Or meet the full MICAS team

Current research topic

A Scalable Heterogenous Multi-accelerator Platform for AI and ML - Marian Verhelst
Heterogeneous Multi-core System-on-Chips for Ultra Low Power Machine Learning Application at the Edge - Marian Verhelst

Publications

< /i>FlexiGen< //i>: An Automated AI Accelerator Generation Framework With Decoupled-Access-Execute and Dynamic Dataflows Xiaoling Yi, Man Shi, Joren Dumoulin, Jiacong Sun, Yunhao Deng, Ryan Antonio, Fanchen Kong, Yu Zhang, Yuqi Jiang, and Marian Verhelst · Article · Jun 1. 2026 IEEE Transactions On Circuits And Systems I-Regular Papers; 2026; Vol. 73; iss. 6; pp. 4164 - 4177

The Configuration Wall: Characterization and Elimination of Accelerator Configuration Overhead Josse Van Delm, Anton Lydike, Joren Dumoulin, Jonas Crols, Xiaoling Yi, Ryan Antonio, Jackson Woodruff, Tobias Grosser, and Marian Verhelst · Conference Proceeding · Jan 1. 2026 PROCEEDINGS OF THE 31ST ACM INTERNATIONAL CONFERENCE ON ARCHITECTURAL SUPPORT FOR PROGRAMMING LANGUAGES AND OPERATING SYSTEMS, VOL 1, ASPLOS 2026; 2026; pp. 265 - 280