Niklas Penzel – Computer Vision Group Jena

Address:	Computer Vision Group
	Department of Mathematics and Computer Science
	Friedrich Schiller University of Jena
	Inselplatz 5
	07743 Jena
	Germany
Phone:	+49 (0) 3641 9 46335
E-mail:	niklas (dot) penzel (at) uni-jena (dot) de
Room:	3018
Links:	Google Scholar

Since Dec. 2020	Research Associate at the Computer Vision Group, Friedrich Schiller University Jena
2020	Master Thesis: “The Bias Uncertainty Sampling introduces into an Active Learning System”
2018-2020	M.Sc. in Computer Science at the Friedrich Schiller University Jena
2018	Bachelor Thesis: “Lebenslanges Lernen von Klassifikationssystemen ohne Vorwissen und mit intelligenter Datenhaltung” (Lifelong Learning of Classification Systems without Previous Knowledge and with Smart Data Management)
2015-2018	B.Sc. in Computer Science at the Friedrich Schiller University Jena

Tristan Piater: “Robustness of Causal Discovery Methods Towards Gradual Violations of Assumptions”. Master thesis, 2024. (joint supervision with Gideon Stein)
Phillip Rothenbeck: “SIR-based modelling of COVID-19 pandemic using PINNs”. Bachelor thesis, 2024. (joint supervision with Sai Karthikeya Vemuri)
Maria Gogolev: “Comparing and Modifying Distributions of Latent Diffusion Models to Impose Image Properties”. Master thesis, 2024. (joint supervision with Sven Sickert and Tim Büchner)
Konstantin Roppel: “Model Feature Attribution for Single Images using Conditional Independence Tests”. Master thesis, 2024 (joint supervision with Jan Blunk)
Jan Blunk: “Steering Feature Usage During Neural Network Model Training”. Master thesis, 2023 (joint supervision with Paul Bodesheim)
Tristan Piater: “Self-Attention Mechanisms for the Classification of Dermoscopic Images”. Bachelor thesis, 2022 (joint supervision with Gideon Stein)
Maria Gogolev: “Continual fine-tuning with intelligent rehearsal selection”. Bachelor thesis, 2022 (joint supervision with Julia Böhlke)

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