About me
Ph.D. student
Department of Computer Science
University of Central Florida
“Knowledge is in every country the surest basis of public happiness.”
– George Washington, First Annual Address, Friday, January 08, 1790

Advisors
Professor Ewetz at the University of Central Florida
Professor Jha at the University of Texas at San Antonio
Research
Emerging technologies, path-based computing (in-memory computing), flow-based computing (in-memory computing), technology mapping
Journal publications
- Rashed, M. R. H., Thijssen, S., Jha, S. K., Yao, F., & Ewetz, R. (2023). STREAM: Towards READ-based In-Memory Computing for Streaming Based Processing for Data-Intensive Applications. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.
- Thijssen, S., Jha, S. K., & Ewetz, R. (2021). COMPACT: Flow-Based Computing on Nanoscale Crossbars with Minimal Semiperimeter and Maximum Dimension. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems.”
Conference publications
- Thijssen, S., Rashed, M., Jha, S. K., & Ewetz, R. UpTime: Towards Flow-based In-Memory Computing with High Fault-Tolerance, In 59th Design Automation Conference (DAC), 2023 (accepted).
- Thijssen, S., Jha, S. K., & Ewetz, R. (2023, January). FLOW-3D: Flow-Based Computing on 3D Nanoscale Crossbars with Minimal Semiperimeter. In Proceedings of the 28th Asia and South Pacific Design Automation Conference (pp. 775-780).
- Thijssen, S., Jha, S. K., & Ewetz, R. (2022, October). Equivalence Checking for Flow-Based Computing. In 2022 IEEE 40th International Conference on Computer Design (ICCD) (pp. 656-663). IEEE.
- Thijssen, S., Jha, S. K., & Ewetz, R. (2022, July). Path: Evaluation of boolean logic using path-based in-memory computing. In Proceedings of the 59th ACM/IEEE Design Automation Conference (pp. 1129-1134).
- 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).
- 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).
- 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.
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Awards and nominations
- [DATE’21] Nominated for Best Paper Award
- ORC Fellowship
Education
Ph.D. in Computer Science University of Central Florida, Orlando, United States of America In progress | 2020 – 2024 |
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 |
Software tools
- FLOW-3D: The source code for the publication “FLOW-3D: Flow-Based Computing on 3D Nanoscale Crossbars with Minimal Semiperimeter” can be found on GitHub.
- CHECK: The source code for the publication “Equivalence Checking for Flow-Based Computing” can be found on GitHub.
- PATH: The source code for the publication “PATH: Evaluation of Boolean Logic using Path-based In-Memory Computing” can be found on GitHub.
- COMPACT: The source code for the publication “COMPACT: Flow-Based Computing on Nanoscale Crossbars with Minimal Semiperimeter” can be found on GitHub.