Rate My Professor Thorsten Jungeblut

Prof. Dr.-Ing. habil. Thorsten Jungeblut is Professor for Industrial Internet of Things at the Department of Engineering and Mathematics, Bielefeld University of Applied Sciences, since April 2020. From 2011 to 2020, he led the Nanoelectronics group within the Kognitronik und Sensorik working group at the Excellence Cluster for Cognitive Interaction Technology (CITEC), Universität Bielefeld. Between 2005 and 2010, he worked at the Heinz Nixdorf Institute, Universität Paderborn. He completed his Diploma in Electrical Engineering with a focus on Communication Technology at Universität Paderborn, obtained his Dr.-Ing. degree in 2011 from Universität Bielefeld with the dissertation titled "Entwurfsraumexploration ressourceneffizienter VLIW-Prozessoren," and earned his habilitation in 2019 from Universität Bielefeld on "Design-Space Exploration of Embedded Many-Core Architectures." Jungeblut also serves as deputy chairman of the board of KogniHome e.V. and coordinated AI-focused research in the it's OWL top cluster and the "Digital in NRW" competence center at Universität Bielefeld.

Jungeblut's research focuses on resource-efficient massively parallel processor architectures, cognitive edge architectures, and embedded cognitive-edge systems for Internet of Things (IoT) and smart home applications. Notable publications include "A 65 nm 32 b subthreshold processor with 9T multi-Vt SRAM and adaptive supply voltage control" (IEEE Journal of Solid-State Circuits, 2012), "A modular design flow for very large design space explorations" (2010), "Exploring spiking neural networks: a comprehensive analysis of mathematical models and applications" (Frontiers in Computational Neuroscience, 2023), "A 200mV 32b subthreshold processor with adaptive supply voltage control" (IEEE International Solid-State Circuits Conference, 2012), and "CoreVA-MPSoC: A many-core architecture with tightly coupled shared and local data memories" (IEEE Transactions on Parallel and Distributed Systems, 2017). His scholarship has garnered over 500 citations on Google Scholar, advancing low-power VLSI, embedded systems, and AI in IoT.