Chair of Dependable Nano Computing (CDNC)
Dennis Weller

Dr.-Ing. Dennis Weller

Short Bio

Dennis D. Weller received the B.Sc. degree in electrical engineering and computer science from Karlsruhe Institute of Technology, Germany, in 2014 and the M.S. degree in electrical engineering from Karlsruhe Institute of Technology in 2016. In 2016, he started to pursue his Ph.D. degree with the Chair of Dependable Nano Computing. He received his Dr.-Ing. in December 2020 and since then is working as a Postdoc. His research interest includes the modeling, design and fabrication of printable digital and neuromorphic systems.

 

Publication

13. D. D. Weller, M. Hefenbrock, M. Beigl, J. Aghassi-Hagmann, and M. B. Tahoori  "Realization and training of an inverter-based printed neuromorphic computing system", in Nature Scientific Reports, 2021.

12. D. D. Weller, M. Hefenbrock, Michael Beigl, and Mehdi B. Tahoori , "Fast and Efficient High-Sigma Yield Analysis and Optimization using Kernel Density Estimation on a Bayesian Optimized Failure Rate Model", in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2021.

11. D. D. Weller, Nathaniel Bleier, Michael Hefenbrock, Jasmin Aghassi-Hagmann, Michael Beigl, Rakesh Kumar and Mehdi Tahoori, "Printed Stochastic Computing Neural Networks",  in proceedings of Design, Automation & Test in Europe (DATE), 2021.

10. A. T. Erozan, D. Weller, G., Y. Feng, C. Marques, J. Aghassi-Hagmann, M. B. Tahoori, " A Printed Camouflaged Cell against Reverse Engineering of Printed Electronics Circuits", in IEEE Transactions on Very Large Scale Integration Systems (TVLSI), 2020.

9. M. H. Mubarik, D. D. Weller, N. Bleier, M. Tomei, J. Aghassi-Hagmann, M. B. Tahoori, R. Kumar, "Printed Machine Learning Classifiers", in Proceedings of the 53rd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO), 2020. (Honorable Mention, Top Picks in Computer Architecture 2020)

8. A. T. Erozan, D. D. Weller, F. Rasheed, R. Bishnoi, J. Aghassi-Hagmann, M. B. Tahoori, "A Novel Printed Look-up Table based Programmable Printed Digital Circuit", in IEEE Transactions on Very Large Scale Integration Systems (TVLSI), 2020.

7. D. D. Weller, M. Hefenbrock, Mohammad S. Golanbari, Michael Beigl, Jasmin Aghassi-Hagmann, and Mehdi B. Tahoori , "Bayesian Optimized Mixture Importance Sampling for High-Sigma Failure Rate Estimation", in IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), 2020.

6. D. D. Weller, M. Hefenbrock, M.B. Tahoori, J. Aghassi-Hagmann, and M. Beigl  "Programmable Neuromorphic Circuit based on Printed Electrolyte-Gated Transistors",  in Proceedings of the Asia and South Pacific Design Automation Conference (ASPDAC), 2020, China.

5. M. Hefenbrock, D. D. Weller, M. Beigl and M.B. Tahoori, "Fast and Accurate High-Sigma Failure Rate Estimation through Extended Bayesian Optimized Importance Sampling",  in proceedings of Design, Automation & Test in Europe (DATE), 2020, France.

4. G.C. Marques, D. D. Weller, A. T. Erozan, X. Feng, M. Tahoori, and J. Aghassi-Hagmann, “Progress Report on ‘From printed electrolyte-gated metal-oxide devices to circuits'”, Advanced Materials, 2019.

3. D. D. Weller, M. Hefenbrock, M.S. Golanbari, M. Beigl and M.B. Tahoori, "Bayesian Optimized Importance Sampling for High Sigma Failure Rate Estimation",  in proceedings of Design, Automation & Test in Europe (DATE), 2019, Italy.

2. D. D. Weller, G. C. Marques, J. Aghassi-Hagmann, and M.B. Tahoori, "An Inkjet Printed Low-Voltage Latch based on Inorganic Electrolyte-Gated Transistors", in Electron Device Letters, IEEE, 2018.

1. D. D. Weller, F. Oboril, D. Lukarski, J. Becker, and M.B. Tahoori, "Energy Efficient Scientific Computing on FPGAs using OpenCL", in Proceedings of the ACM/ SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA), 2017, USA.

 
Education:
 
May 2016: Master of Science in Electrical Engineering and Computer Science at KIT
Focus on Systems and Software Engineering
 
November 2013: Bachelor of Science in Electrical Engineering and Computer Science at KIT
Focus on Optical Systems
 
Projects:
MERAGEM: Modeling, Design, Realisation and Automatisation of Printed Electronics and its
Materials.
 
Research Interests:
Printable Electronics
OpenCL-based FPGA implementations