Prof. Dr.-Ing. Jürgen Teich

Lehrstuhl für Informatik 12 (Hardware-Software-Co-Design)

Symbolic Energy Analysis for Nested Loop Accelerators (2026) Mahesh Nirmala A, Walter D, Hannig F, Teich J Conference contribution, Conference Contribution Early-Exit Neural Architecture Search for Energy-Harvesting Edge Computing (2025) Sixdenier PL, Deutel M, Teich J Conference contribution, Original article Unsupervised Learning of Variational Autoencoders on Cortex-M Microcontrollers (2025) Deutel M, Plinge A, Seuss D, Mutschler C, Hannig F, Teich J Conference contribution, Conference Contribution Special Session – Hardware-Software Co-Design for Machine Learning Systems Made Open-Source (2025) Tahoori M, Meyers V, Sadeghipour Roodsari M, Xu H, Becker J, Harbaum T, Frombach F, et al. Conference contribution, Conference Contribution Design of Machine Learning Accelerators as RISC-V Extensions using an Open Source Tool Flow (2025) Sesli B, Sabih M, Hannig F, Teich J Conference contribution, Conference Contribution A SIMD MAC RISC-V Extension with Approximate Multipliers for Accelerating CNN Inference in Tiny Embedded Devices (2025) Hernandez Morales JJ, Hannig F, Teich J Conference contribution, Original article Beyond BNNs: Design and Acceleration of Sub-Bit Neural Networks using RISC-V Custom Functional Units (2025) Sabih M, Abdo M, Hannig F, Teich J Journal article, Original article Combining Multi-Objective Bayesian Optimization with Reinforcement Learning for TinyML (2025) Deutel M, Kontes G, Mutschler C, Teich J Journal article, Original article Multi-Objective Bayesian Optimization with Reinforcement Learning for Edge Deployment of DNNs on Microcontrollers (2025) Deutel M, Kontes G, Mutschler C, Teich J Conference contribution, Conference Contribution Breaking Confidentiality of XTS-AES Encrypted Data at Rest on Microprocessors using Electromagnetic Side-Channel Attacks (2025) Krüger P, Wildermann S, Teich J Conference contribution, Conference Contribution