Nima Kavand



Visitor's Address

+49 351 463-40924

Helmholtzstrasse 18,  BAR-III61

Nima Kavand is working as a Research Associate on the project "Electronic design automation for designing secure circuits". He received his B.Sc. degree in Computer Engineering (hardware design) from the Shahid Beheshti University and M.Sc. degree in Computer Systems Architecture from the Sharif University of Technology, Tehran, Iran. His master's thesis focused on FPGA-accelerated stream Big Data processing. After his M.Sc., he was researching on HW acceleration of Machine Learning applications for about two years at the Sharif University of Technology. Nima joined the Chair of Processor Design at Technische Universität Dresden (TUD) in March 2021. His current research interests include VLSI design, FPGA and reconfigurable devices, large-scale computing systems, and Machine Learning.


  • 2022

  • Nima Kavand, Armin Darjani, Shubham Rai, Akash Kumar, "Securing Hardware through Reconfigurable Nano-structures", In Proceeding: International Conference on Computer-Aided Design (ICCAD), ACM, Nov 2022. [Bibtex & Downloads]
  • Armin Darjani, Nima Kavand, Shubham Rai, Mark Wijtvliet, Akash Kumar, "ENTANGLE: An Enhanced Logic-locking Technique for Thwarting SAT and Structural Attacks", In Proceeding: ACM Great Lakes Symposium on VLSI (GLSVLSI), 6/2022. [doi] [Bibtex & Downloads]

Previous Publications

Nima Kavand, Armin Darjani, Hamid Nasiri Bezenjani, and Maziar Goudarzi. "Accelerating distributed stream processing." U.S. Patent 10534737, issued January 14, 2020.