Prof. Dr. Ronald Tetzlaff
Person

Affiliations

Chair of Fundamentals of Electrical Engineering
- Full Professor
Technische Universität Dresden
- Chief Officer Technology Transfer and Internationalisation
Faculty of Computer Sciences
- Associated/Co-opted member of the faculty

Identification Numbers

ORCID	0000-0001-7436-0103
Scopus author ID	56829108400

Fault Impact Map for Memristive Crossbar Neural Networks

Schroedter, R., Haidar, A. & Tetzlaff, R., 28 Jun 2024, 2024 13th International Conference on Modern Circuits and Systems Technologies (MOCAST). IEEE, p. 1-4 4 p. 10615515

Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Contributed › peer-review

Towards Generalizable Classification of Partial Discharges in Gas-Insulated HVDC Systems using Neural Networks: Protrusions and Particles

Seitz, S., Götz, T., Lindenberg, C., Tetzlaff, R. & Schlegel, S., 1 Jun 2024, In: IEEE transactions on power delivery. 39, 3, p. 1491-1499 9 p., 10444905.

Research output: Contribution to journal › Research article › Contributed › peer-review

Modeling Excitable Cells with Memristors

Sah, M., Ascoli, A., Tetzlaff, R., Rajamani, V. & Budhathoki, R. K., Jun 2024, In: Journal of Low Power Electronics and Applications. 14, 2, 31.

Research output: Contribution to journal › Research article › Contributed › peer-review

Deep Memristive Cellular Neural Networks for Image Classification and Segmentation

Horvath, A., Rajki, F., Ascoli, A. & Tetzlaff, R., 2024, In: IEEE transactions on nanotechnology. 23, p. 718-726 9 p.

Research output: Contribution to journal › Research article › Contributed › peer-review

Frequency Dependent Bistability in a Volatile Threshold Switch

Messaris, I., Demirkol, A. S., Ascoli, A., Ntinas, V., Prousalis, D., Schmitt, N. & Tetzlaff, R., 2024, 2024 13th International Conference on Modern Circuits and Systems Technologies, MOCAST 2024 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 1-4 (International Conference on Modern Circuits and Systems Technologies (MOCAST)).

Research output: Contribution to book/conference proceedings/anthology/report › Conference contribution › Contributed › peer-review

View all research output (181)

Best Paper Award on Emerging Technologies and Applications

Ntinas, V. (Recipient), Patel, D. (Recipient), Wang, Y. (Recipient), Messaris, I. (Recipient), Rana, V. (Recipient), Menzel, S. (Recipient), Ascoli, A. (Recipient) & Tetzlaff, R. (Recipient), 5 Jul 2023

Prize: Publication/Conference prize

IEEE Transactions on Circuits and Systems Darlington Best Paper Award

Kang, S. (Recipient), Choi, D. (Recipient), Eshraghian, J. K. (Recipient), Zhou, P. (Recipient), Kim, J. (Recipient), Kong, B. (Recipient), Zhu, X. (Recipient), Demirkol, A. S. (Recipient), Ascoli, A. (Recipient), Tetzlaff, R. (Recipient), Lu, W. D. (Recipient) & Chua, L. O. (Recipient), 2023

Prize: Publication/Conference prize

Best Paper Award in Electronics (MOCAST'22)

Schroedter, R. (Recipient), Demirkol, A. S. (Recipient), Ascoli, A. (Recipient), Tetzlaff, R. (Recipient), Mgeladze, E. (Recipient), Herzig, M. (Recipient), Slesazeck, S. (Recipient) & Mikolajick, T. (Recipient), 10 Jun 2022

Prize: Publication/Conference prize

View all prizes (3)

Research Portal of the TU Dresden

Prof. Dr. Ronald Tetzlaff
Person

Affiliations

Identification Numbers

Related content

Fault Impact Map for Memristive Crossbar Neural Networks

Towards Generalizable Classification of Partial Discharges in Gas-Insulated HVDC Systems using Neural Networks: Protrusions and Particles

Modeling Excitable Cells with Memristors

Deep Memristive Cellular Neural Networks for Image Classification and Segmentation

Frequency Dependent Bistability in a Volatile Threshold Switch

Best Paper Award on Emerging Technologies and Applications

IEEE Transactions on Circuits and Systems Darlington Best Paper Award

Best Paper Award in Electronics (MOCAST'22)