Sven Thijssen

Advisors

Professor Ewetz at the University of Central Florida
Professor Jha at the University of Texas at San Antonio

Research

Flow-based computing (in-memory computing), emerging technologies, verification techniques, technology mapping

Education

Ph.D. in Computer Science University of Central Florida, Orlando, United States of America In progress	2020 – 2023
Master of Computer Science University of Central Florida, Orlando, United States of America Master’s degree	2020 – 2021
Master of Computer Science (Master of Engineering) KU Leuven, Leuven, Belgium Completed 9 courses	2018 – 2019
Bachelor of Informatics (Bachelor of Science) KU Leuven, Leuven, Belgium Bachelor’s degree	2015 – 2018
Bachelor of Engineering (Bachelor of Engineering) KU Leuven, Leuven, Belgium Completed 2 courses	2014 – 2015

Awards and nominations

1. [DATE’21] Nominated for Best Paper Award
2. ORC Fellowship

Conference papers

1. Rashed, M., Thijssen, S., Yao., F., Jha, S.K., & Ewetz, R. (2022). STREAM: Towards READ-based In-Memory Computing for Streaming based Data Processing. In 2022 Asia and South Pacific Design Automation Conference (ASP-DAC).
2. Channamadhavuni, S., Thijssen, S., Jha, S. K., & Ewetz, R. (2021, June). Accelerating AI Applications using Analog In-Memory Computing: Challenges and Opportunities. In Proceedings of the 2021 on Great Lakes Symposium on VLSI (pp. 379-384).
3. Thijssen, S., Jha, S. K., & Ewetz, R. (2021, February). COMPACT: Flow-Based Computing on Nanoscale Crossbars with Minimal Semiperimeter. In 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE) (pp. 232-237). IEEE. (BEST PAPER CANDIDATE)

Software tools

• COMPACT: The source code for the publication “COMPACT: Flow-Based Computing on Nanoscale Crossbars with Minimal Semiperimeter” can be found on GitHub.