Batuhan Sesli

Chair of Computer Science 12 (Hardware/Software Co-Design)

Research associates

Address

Cauerstraße 11 91058 Erlangen

Contact

Email: batuhan.sesli@fau.de

Curriculum Vitæ

since July 2024

Researcher at the Department of Computer Science 12 (Hardware-Software-Co-Design), Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany

2022 - 2024

M. Sc in Information and Communication Technology , Friedrich-Alexander-Universität Erlangen-Nürnberg, Germany
Track : Embedded Systems
Thesis: Compiler Loop Optimizations for Efficient DNN Deployment

2016 - 2021

B. Sc. in Electrical & Electronics Engineering Istanbul Ozyegin University - Türkiye
Area of Specialization: Embedded Systems
Minor Degree: Computer Science

Teaching

WS2024/2025 , WS2025/2026, WS2026/2027

SS2025, SS2026

Tutorial : Embedded Systems

Tutorial : Parallel Systems

Research Projects

DI-EDAI : Open-Source Design Tools for the Co-Development of AI Algorithms and AI Chips

Research Interests

Acceleration techniques for machine learning workloads through the design of RISC-V ISA extensions and specialized hardware accelerators.
Efficient deployment techniques for TinyML applications on low-power and resource-constraint devices
Co-design and co-exploration of AI algorithms and hardware

Supervised Works

Compressing Deep Neural Networks Using Trainable Activation Functions (Master Thesis)
Collaborative Optimization in Neural Network Training (Research Project)
Machine-learning-based Digital Signal Processing on RISC-V Processors (IAESTE Internship)
Python-Based FPGA Programming for Machine Learning Dataflows (IAESTE Internship)

We frequently look for talented and committed students to work together on theses and projects. If you have experience in hardware and software design, take a look at our current openings and feel free to get in touch.

Publications

2027

Sesli B., Sabih M., Hannig F., Teich J.:
CoD-MiCo: Co-Design of Mixed-Compression RISC-V Extensions for Neural Networks on FPGAs
32nd Asia and South Pacific Design Automation Conference (ASP-DAC) (Tokyo, 25. January 2027 - 28. January 2027)
In: Proceedings of the 32nd Asia and South Pacific Design Automation Conference (ASP-DAC) 2027
BibTeX: Download

2026

Sesli B., Hernandez Morales JJ., Mentzos G., Zervakis G., Hannig F., Henkel J., Teich J.:
Co-Designing TinyML-powered Digital Health Applications for FPGA-based Wearable Devices
IEEE International Conference on Omni-layer Intelligent Systems (Bologna, 7. September 2026 - 9. September 2026)
In: 2026 IEEE International Conference on Omni-layer Intelligent Systems (COINS) 2026
BibTeX: Download
Sotiropoulos G., Frombach F., Höfer J., Harbaum T., Becker J., Thorøe HI., Meyers V., Tahoori M., Demirdag Z., Sikal MB., Nassar H., Khdr H., Henkel J., Wolters C., van Kempen P., Geier J., Schlichtmann U., Sesli B., Sabih M., Wittmann J., Hannig F., Teich J., Steiner L., Wehn N., Shelkamy Ali M., Schmitz P., Kunz W., Kögler S., Sigl G.:
Multi-Partner Project: A Holistic and Open-Source Approach to Efficient, Secure and Reliable AI Hardware Deployment in DI-EDAI
Conference on Design, Automation and Test in Europe (DATE) (Verona, 20. April 2026 - 22. April 2026)
In: Proceedings of the Conference on Design, Automation and Test in Europe (DATE) 2026
DOI: 10.23919/DATE69613.2026.11539555
BibTeX: Download

2025

Sesli B., Sabih M., Hannig F., Teich J.:
Design of Machine Learning Accelerators as RISC-V Extensions using an Open Source Tool Flow
International Conference on Computer Aided Design (ICCAD) (Munich, 26. October 2025 - 30. October 2025)
In: IEEE (ed.): Proceedings of the International Conference on Computer Aided Design (ICCAD) 2025
DOI: 10.1109/ICCAD66269.2025.11240834
URL: https://ieeexplore.ieee.org/document/11240834
BibTeX: Download
Tahoori M., Meyers V., Sadeghipour Roodsari M., Xu H., Becker J., Harbaum T., Frombach F., Höfer J., Sotiropoulos G., Henkel J., Demirdag Z., Khdr H., Nassar H., Schlichtmann U., Geier J., van Kempen P., Sigl G., Kögler S., Probst M., Teich J., Hannig F., Sabih M., Sesli B., Wehn N., Steiner L., Kunz W., Shelkamy Ali M.:
Special Session – Hardware-Software Co-Design for Machine Learning Systems Made Open-Source
International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS) (Taipei, 28. September 2025 - 3. October 2025)
In: ACM (ed.): Proceedings of the International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS) 2025
DOI: 10.1145/3742873.3756928
URL: https://dl.acm.org/doi/10.1145/3742873.3756928
BibTeX: Download

2024

Sabih M., Sesli B., Hannig F., Teich J.:
Accelerating DNNs using Weight Clustering on RISC-V Custom Functional Units
Conference on Design, Automation and Test in Europe (DATE) (Valencia, 25. March 2024 - 27. March 2024)
In: Proceedings of the Conference on Design, Automation and Test in Europe (DATE) 2024
BibTeX: Download