Prof. Dr.-Ing. Holger Blume

Prof. Dr.-Ing. Holger Blume
Address
Appelstr. 4
30167 Hannover
Prof. Dr.-Ing. Holger Blume
Address
Appelstr. 4
30167 Hannover

Career

Holger Blume, born in 1967, studied electrical engineering at the University of Dortmund from 1987 to 1992. During his studies he was a scholarship holder of the German National Academic Foundation. From 1993 to 1996 he was a research assistant in the Circuits for Information Processing group at the University of Dortmund (Prof. Dr. H. Schröder). From 1996-1998 he was employed as a research associate at the Informatik Centrum Dortmund (ICD). In 1997, he received his PhD with honors from the University of Dortmund on the topic of "Nonlinear Fault-Tolerant Interpolation of Intermediate Images".

From 1998 to 2008, he worked first as a senior engineer and later as an academic senior councillor at the Department of General Electrical Engineering and Data Processing Systems at RWTH Aachen University (Prof. Dr. T. G. Noll). In February 2008 he habilitated there with a thesis on "Exploration of the Design Space for Heterogeneous Architectures for Digital Video Signal Processing".

In July 2008, he followed a call to Leibniz Universität Hannover where he has been working since then as professor for "Architectures and Systems" and as managing director of the Institute for Microelectronic Systems (IMS).

  • Publications

    Showing results 1 - 20 out of 348

    An Intelligent and Efficient Workflow for Path-Oriented 3D Bioprinting of Tubular Scaffolds. / Baroth, Timo; Loewner, Sebastian; Heymann, Henrik et al.
    In: 3D Printing and Additive Manufacturing, Vol. 11, No. 1, 15.02.2024, p. 323-332.

    Research output: Contribution to journalArticleResearchpeer review

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    Sub-Microsecond Time Synchronization for Network-Connected Microcontrollers. / Schleusner, Jens; Fahnemann, Christian; Pfleiderer, Richard et al.
    2024 IEEE International Conference on Consumer Electronics (ICCE). 2024. (Digest of Technical Papers - IEEE International Conference on Consumer Electronics).

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

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    Exploiting Subword Permutations to Maximize CNN Compute Performance and Efficiency. / Beyer, Michael; Gesper, Sven; Guntoro, Andre et al.
    Proceedings - 2023 IEEE 34th International Conference on Application-Specific Systems, Architectures and Processors, ASAP 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 61-68 (Proceedings of the International Conference on Application-Specific Systems, Architectures and Processors; Vol. 2023-July).

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

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    Online Quantization Adaptation for Fault-Tolerant Neural Network Inference. / Beyer, Michael; Borrmann, Jan Micha; Guntoro, Andre et al.
    Computer Safety, Reliability, and Security: 42nd International Conference, SAFECOMP 2023, Toulouse, France, September 20–22, 2023, Proceedings. ed. / Jérémie Guiochet; Stefano Tonetta; Friedemann Bitsch. Springer International Publishing AG, 2023. p. 243–256 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14181 LNCS).

    Research output: Chapter in book/report/conference proceedingContribution to book/anthologyResearchpeer review

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    A Dual-Species Atom Interferometer Payload for Operation on Sounding Rockets. / Elsen, Michael; Piest, Baptist; Adam, Fabian et al.
    In: Microgravity Science and Technology, Vol. 35, No. 5, 48, 07.09.2023.

    Research output: Contribution to journalArticleResearchpeer review

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    N2V2PRO: Neural Network Mapping Framework for a Custom Vector Processor Architecture. / Gesper, Sven; Thieu, Gia Bao; Kohler, Daniel et al.
    2023 IEEE 13th International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2023. IEEE Computer Society, 2023. p. 94-99 (IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin).

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

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    High Performance Instruction Fetch Structure within a RISC-V Processor for Use in Harsh Environments. / Hawich, Malte; Rumpeltin, Nico (Contributor); Rücker, Malte (Contributor) et al.
    Lecture Notes in Computer Science: Embedded Computer Systems: Architectures, Modeling, and Simulation 23rd International Conference, SAMOS 2023 Samos, Greece, July 2–6, 2023 Proceedings. ed. / Cristina Silvano; Marc Reichenbach; Christian Pilato. Vol. 23 Springer, 2023. p. 255-268 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14385 LNCS).

    Research output: Chapter in book/report/conference proceedingContribution to book/anthologyResearchpeer review

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    A promising protocol for the endothelialization of vascular grafts in an instrumented rotating bioreactor towards clinical application. / Heene, Sebastian; Renzelmann, Jannis; Müller, Caroline et al.
    In: Biochemical engineering journal, Vol. 200, 109095, 11.2023.

    Research output: Contribution to journalArticleResearchpeer review

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    Technical concepts of automotive LiDAR sensors: a review. / Holzhüter, Hanno; Bödewadt, Jörn; Bayesteh, Shima et al.
    In: Optical engineering, Vol. 62, No. 3, 031213, 03.2023.

    Research output: Contribution to journalReview articleResearchpeer review

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    DoA Estimation in Automotive MIMO Radar With Sparse Array via Fast Variational Bayesian Method. / Jauch, Alisa; Meinl, Frank; Blume, Holger.
    2023 IEEE Conference on Antenna Measurements and Applications, CAMA 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 892-897 (IEEE Conference on Antenna Measurements and Applications, CAMA).

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

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    A High-Performance, Low Power Research Hearing Aid featuring a High-Level Programmable Custom 22nm FDSOI SoC . / Karrenbauer, Jens; Schonewald, Sven; Klein, Simon et al.
    2023 45th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, 2023. p. 1-5 (Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference).

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

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    The ZuSE-KI-Mobil AI Accelerator SoC: Overview and a Functional Safety Perspective. / Kempf, Fabian; Hoefer, Julian; Harbaum, Tanja et al.
    2023 Design, Automation and Test in Europe Conference and Exhibition, DATE 2023 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2023. (Proceedings -Design, Automation and Test in Europe, DATE; Vol. 2023-April).

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

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    Improved Multi-Scale Grid Rendering of Point Clouds for Radar Object Detection Networks. / Köhler, Daniel; Quach, Maurice; Ulrich, Michael et al.
    2023 26th International Conference on Information Fusion, FUSION 2023. IEEE, 2023.

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

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    Successful endothelial monolayer formation on melt electrowritten scaffolds under dynamic conditions to mimic tunica intima. / Loewner, Sebastian; Heene, Sebastian; Cholewa, Fabian et al.
    In: International Journal of Bioprinting, Vol. 10, No. 1, 11.09.2023, p. 477-491.

    Research output: Contribution to journalArticleResearchpeer review

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    Fault Detection Mechanisms for COTS FPGA Systems Used in Low Earth Orbit. / Oberschulte, Tim; Marten, Jakob; Blume, Holger.
    Embedded Computer Systems: Architectures, Modeling, and Simulation - 23rd International Conference, SAMOS 2023, Proceedings. ed. / Cristina Silvano; Marc Reichenbach; Christian Pilato. Springer International Publishing AG, 2023. p. 19-32 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 14385 LNCS).

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

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    Fault Detection on Multi COTS FPGA Systems for Physics Experiments on the International Space Station. / Oberschulte, Tim; Marten, Jakob; Blume, Holger.
    FPGA '23: Proceedings of the 2023 ACM/SIGDA International Symposium on Field Programmable Gate Arrays. Association for Computing Machinery (ACM), 2023.

    Research output: Chapter in book/report/conference proceedingOther contribution in a book, report, anthology or conference proceedingResearchpeer review

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    Synthetic Aperture Radar Algorithms on Transport Triggered Architecture Processors using OpenCL. / Rother, Niklas; Mätzner, Leonard; Jääskeläinen, Pekka et al.
    Proceedings of the International Radar Conference 2023. 2023. (Proceedings of the IEEE Radar Conference).

    Research output: Chapter in book/report/conference proceedingConference contributionResearchpeer review

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    Dynamic Model-Based Safety Margins for High-Density Matrix Headlight Systems. / Schleusner, Jens; Blume, Holger; Lampe, Sebastian.
    In: IEEE Transactions on Intelligent Transportation Systems, Vol. 24, No. 7, 07.07.2023, p. 7296-7305.

    Research output: Contribution to journalArticleResearchpeer review

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    Low impact of regular PCR testing on presence at work site during the COVID-19 pandemic: experiences during an open observational study in Lower Saxony 2020-21. / Seiler, Lisa K.; Stolpe, Susanne; Stanislawski, Nils et al.
    In: BMC PUBLIC HEALTH, Vol. 23, No. 1, 240, 03.02.2023.

    Research output: Contribution to journalArticleResearchpeer review

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    Mobile Corona-Analytik made in Hannover. / Stanislawski, Nils Hendrik; Blume, Holger Christoph; Stiesch, Meike et al.
    In: Unimagazin: Forschungsmagazin der Leibniz Universität Hannover, Vol. 2023, No. 1/2, 19.05.2023, p. 40-43.

    Research output: Contribution to specialist publicationContribution in popular science journalTransfer

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  • Research Projects

    Processor Architectures

    • High Temperature Measurement While Drilling
      The goal of the research is an MWD processor system for drilling tools used for geothermal drilling in ambient temperatures up to 300 °C. The processing of the project includes research aspects in the fields of hardware design, fault tolerance of digital systems and ASIC design.
      Led by: Prof. Dr.-Ing. H. Blume
      Team: Dipl.-Ing. Rochus Nowosielski
      Year: 2014
      Duration: 2012-2014
    • GEBO - High Temperature Electronic
      In this project, the design of mixed-signal circuits for signal processing is studied under high temperature conditions. For this, research on analog circuits and digital signal processing architectures will be conducted in order to adapt common design approaches to the requirements of high temperature technology.
      Led by: Prof. Dr.-Ing. H. Blume
      Team: Dipl.-Ing. Rochus Nowosielski
      Year: 2014
      Duration: 2009-20111
    • OPARO
      In the development of integrated, programmable circuits, the optimization of power dissipation and temperature distribution is becoming increasingly important. So far, however, these can only be determined by very time-consuming simulations. Therefore, precise models for the determination of power dissipation shall be developed and mapped together with the functional emulation on FPGAs. By accelerating the determination of power dissipation and temperature distribution, specific optimizations of the architecture and the application code can then be made taking real input data into account.
      Led by: Prof. Dr.-Ing. H. Blume
      Team: Dipl.-Wirtsch.-Ing. Sebastian Hesselbarth
      Year: 2014
    • Hearing4All
      The joint venture "Hearing4all" that the IMS-AS participates in with multiple sub-projects, has been chosen as one of the federal cluster of excellence projects Friday June 15th 2012. In the scope of this project the IMS-AS aims to develop high-performance and low-power processor architectures for digital hearing systems, such as cochlear implants or hearing aids.
      Led by: Prof. Dr.-Ing. H. Blume, Jun.-Prof. Dr.-Ing. G. Payá-Vayá
      Team: M.Sc. C. Seifert, Dipl.-Ing. L. Gerlach
      Year: 2015
      Duration: November 2012 - December 2018
    • Stochastic Processor
      Stochastic computing has recently emerged as a promising approach for designing energy-efficient embedded hardware systems, taking into account the ability of many applications (e.g., computer vision) to tolerate the loss of precision in the computed results. Rather than designing the hardware for worst case scenarios featuring expensive guard-bands, designers can relax the implementation constraints and deliberately expose hardware variability, obtaining significant processing performance improvements and energy benefits.
      Led by: Jun.-Prof. Dr.-Ing. G. Payá-Vayá, Prof. Dr.-Ing. Holger Blume
      Team: M.Sc. Moritz Weißbrich
      Year: 2015
      Funding: Deutsche Forschungsgemeinschaft (DFG)
      Duration: February 2016 - January 2019
    • TETRACOM
      Nowadays, continuous development of digital signal processing applications, e.g., video-based advanced driver assistance systems, are pushing the limits of existing embedded systems and are forcing system developers to spend more time on code optimization. These applications often involve complex mathematical functions like trigonometric, logarithmic, exponential, or square root operations. In particular, these functions can only efficiently be computed on standard general purpose embedded processors, using highly optimized, processor specific arithmetic evaluation software libraries. Another alternative is to extend the embedded processor architectures with a specific hardware accelerator.
      Led by: Jun.-Prof. Dr.-Ing. G. Payá-Vayá
      Team: Dipl.-Ing. S. Nolting, Dipl.-Ing. L. Gerlach
      Year: 2016
      Duration: January 2016 - July 2016
    • Multi-Energy Harvesting (MEH) - A Flexible Platform for Energy Harvesting in Home Automation
      In this project, a platform concept for intelligent home automation components is developed, which can serve as a basis for next-generation sensors and actors. The main characteristic of this platform concept is ultra-low power consumption and ultra-low voltage operation. In combination with harvested energy from multiple sources (multi-energy harvesting), an extended lifetime and reduced battery cell requirements become possible compared to current systems.
      Led by: Prof. Dr.-Ing. H. Blume, Prof. Dr.-Ing. B. Wicht, apl. Prof. Dr.-Ing. G. Payá Vayá
      Team: M.Sc. Moritz Weißbrich, M.Sc. Lars-Christian Kähler
      Year: 2019
      Funding: BMBF
      Duration: October 2018 - March 2021
    • EcoMobility
      During the European project "EcoMobility", the IMS will improve autonomous electric vehicles in regards to sustainability, connectivity and safety together with 46 partners from all over Europe. The IMS will especially focus on intelligent scheduling of tasks on heterogeneous processor systems.
      Led by: Prof. Dr.-Ing. Holger Blume, M.Sc. Matthias Lüders
      Team: M.Sc. Jonas Hollmann
      Year: 2023
      Funding: KDT JU
      Duration: 2023-2025
      [Translate to English:] Offizielles Logo von "EcoMobility" [Translate to English:] Offizielles Logo von "EcoMobility"

    Analog/Mixed-Signal-Design

    • GEBO - High Temperature Electronic
      In this project, the design of mixed-signal circuits for signal processing is studied under high temperature conditions. For this, research on analog circuits and digital signal processing architectures will be conducted in order to adapt common design approaches to the requirements of high temperature technology.
      Led by: Prof. Dr.-Ing. H. Blume
      Team: Dipl.-Ing. Rochus Nowosielski
      Year: 2014
      Duration: 2009-20111
    • Multi-Energy Harvesting (MEH) - A Flexible Platform for Energy Harvesting in Home Automation
      In this project, a platform concept for intelligent home automation components is developed, which can serve as a basis for next-generation sensors and actors. The main characteristic of this platform concept is ultra-low power consumption and ultra-low voltage operation. In combination with harvested energy from multiple sources (multi-energy harvesting), an extended lifetime and reduced battery cell requirements become possible compared to current systems.
      Led by: Prof. Dr.-Ing. H. Blume, Prof. Dr.-Ing. B. Wicht, apl. Prof. Dr.-Ing. G. Payá Vayá
      Team: M.Sc. Moritz Weißbrich, M.Sc. Lars-Christian Kähler
      Year: 2019
      Funding: BMBF
      Duration: October 2018 - March 2021

    Design Space Exploration

    • EFdiS – Use of airborne SAR with digital interface
      The goal of this research project is the processing of FMCW sensor signals. The first step is intended to digitize the analog data on board through a suitable expansion card. In the second step, the digitized data is to be processed on board, and thus converted to an aerial image.
      Led by: Prof. Dr.-Ing. H. Blume
      Team: Dipl.-Ing. M. Wielage
      Year: 2014
      Duration: October 2012 - December 2014
    • OPARO
      In the development of integrated, programmable circuits, the optimization of power dissipation and temperature distribution is becoming increasingly important. So far, however, these can only be determined by very time-consuming simulations. Therefore, precise models for the determination of power dissipation shall be developed and mapped together with the functional emulation on FPGAs. By accelerating the determination of power dissipation and temperature distribution, specific optimizations of the architecture and the application code can then be made taking real input data into account.
      Led by: Prof. Dr.-Ing. H. Blume
      Team: Dipl.-Wirtsch.-Ing. Sebastian Hesselbarth
      Year: 2014
    • Digital Video-processing for automation in agriculture
      Within this project, algorithms are developed, architectures explored and a final hardware-platform designed and evaluated. The overall system will be tested in a field test.
      Led by: Prof. Dr.-Ing. H. Blume
      Team: J. Hartig, S. Gesper
      Year: 2019
      Duration: a 2017-2019
    • Compact Realtime SAR-Image processor
      The goals of this project are the generation and compression of high resolution Synthetic Aperture Radar (SAR) images under real time conditions. Compared to camera based electro-optical sensors, a SAR system operates almost independent from daylight and weather conditions. State-of-the-art SAR sensor systems achieve spatial resolutions up to 10 cm at 10 km altitude. By using FPGAs for high performance digital signal processing tasks, aerial images can be generated in real time even in case of very large image dimensions.
      Led by: Prof. Dr.-Ing. H. Blume
      Team: F. Cholewa, C. Fahnemann, N. Rother
      Year: 2020
      Duration: 2008-2020

    Driver Assistance Systems

    • OpenFAS
      In the scope of this project, a library of modules for driver assistence systems, based on a multicore processor architecture will be created. The project is in collaboration with the videantis corporation.
      Led by: Prof. Dr.-Ing. Holger Blume
      Team: Dipl.-Ing. Christopher Bartels
      Year: 2012
      Funding: "Zentrales Innovationsprogramm Mittelstand" des Bundesministeriums für Wirtschaft und Technologie (BMWi)
      Duration: Juni 2012 - Oktober 2013
    • DESERVE - Development Platform for Safe and Efficient Drive
      DESERVE is a project funded by the European Union. The aim of the project is the promotion and evolution of advanced driver assistance systems (ADAS). These systems are devoted to support the driver in the safe control of the vehicle. For this purpose, the DESERVE platform is planned to be developed. This platform will be the base for future development of advanced driver assistance systems in Europe.
      Led by: Prof. Dr.-Ing. H. Blume, apl. Prof. Dr.-Ing. G. Payá Vayá
      Team: Florian Giesemann, Frank Meinl, Nico Mentzer
      Year: 2013
      Funding: Europäische Union, Bundesministerium für Bildung und Forschung
      Duration: September 2012 - August 2015
    • ASEV
      The goal of this sub-project of the BMBF project "Automatic Situation Interpretation for Event Triggered Video Surveillance" is to elaborate a concept for a hardware architecture that enables a SIFT (Scale Invariant Feature Transform) feature extraction under application-specific processing conditions as performance and power consumption. SIFT features offer a good basis for robust object identification and tracking for event triggered video surveillance. The field of application is thereby the airport apron, which is highly relevant to security. The concept was implemented on a FPGA-based hardware platform to build a demonstrator which was tested at the end of the project at the airport of Braunschweig.
      Led by: Prof. Dr.-Ing. H. Blume, Jun.-Prof. Dr.-Ing. G. Payá-Vayá
      Team: Dipl.-Ing. Nico Mentzer
      Year: 2014
      Funding: Bundesministerium für Bildung und Forschung (BMBF)
      Duration: Mai 2010 - April 2013
    • Efficient Hardware Architectures for Fast Image Sequence Analysis
      In practice, general reliability of modern driver assistance systems under arbitrary traffic, weather and illumination conditions often is a problem. Because more robust algorithms are computationally very intensive, this project deals with the examination of heterogenous hardware architectures and the evaluation of new mechanisms for complex applications in the field of camera-based driver assistance.
      Led by: Prof. Dr.-Ing. H. Blume
      Team: Julian Hartig
      Year: 2014
      Funding: Hans L. Merkle Stiftung
      Duration: February 2014 - February 2017
    • mDAS - Implementation of a real-time demonstrator for multicore-based driver assistance systems
      The goal of this Project is the conceptual design of a real-time mutlicore-based demonstrator for video-based driver assistance algorithms. Therefore, different performance metrics will be displayed in order to compare platform-specific performance characteristics.
      Led by: Prof. Dr.-Ing. Holger Blume
      Team: Dipl.-Ing. Jakob Arndt
      Year: 2014
      Funding: Siemens AG
      Duration: February 2014 - August 2014
    • ZIM Dream Chip Technologies GmbH
      In cooperation with Dream Chip Technologies GmbH, Garben, Germany, the Institute of Microelectronic Systems develops with funding from the Federal Ministry of Economic Affairs and Energy a camera system with integrated algorithms for high quality real time motion estimation in the area of driver assistance systems.
      Led by: Prof. Dr.-Ing. H. Blume
      Team: Gregor Schewior, Nicolai Behmann
      Year: 2015
      Funding: Bundesministerium für Wirtschaft und Energie
      Duration: September 2015 - December 2016
    • THINGS2DO - THIN but Great Silicon 2 Design Objects
      THINGS2DO is an ENIAC project, funded by the European Union and the Federal Ministry of Education and Research. The project aims to develop the new Fully Depleted Silicon On Insulator (FD-SOI) technology and the corresponding tool environment for high efficient and highly integrated circuits. The capabilities of the technology are further demonstrated through a demonstrator in the area of Advanced Driver Assistance Systems (ADAS).
      Led by: Prof. Dr.-Ing. H. Blume
      Team: Gregor Schewior, Nicolai Behmann
      Year: 2016
      Funding: Europäische Union, Bundesministerium für Bildung und Forschung
      Duration: February 2016 - March 2018
    • GreenML
      The project "GreenML" aims to exemplify a holistic AI design process by the highly efficient and resource-optimized implementation of essential FAS functions like object detection, object classification, and scene contextualization on particular hardware. Deep Learning (DL) has become a central approach for modern AI applications. Even though energy-efficient DL has become a target in research, currently isolated solutions are often created that do not unleash the full potential for resource-efficient AI. In this project, we will focus on a holistic approach: from hardware to efficient coding and transfer of data and models to dynamic and resource-adaptive software to enable multi-criteria optimization of all facets of an AI-enabled system. As an example, we demonstrate the potential of this approach using the scenario of a modern driver assistance system (FAS). With about 67 million registered vehicles and increased e-mobility, saving required energy by combining efficient algorithms, communication, and hardware is urgently needed. Our "Green Assisted Driving" project addresses different energy consumption, safety, and flexibility metrics. The consortium combines low-power hardware, learning of efficient representations from large data sets, hyperparameter optimization, and network design using AutoML, as well as methods of transfer learning, semi-supervised learning, and network pruning to prototype highly efficient and dynamically controllable models on a FAS. and demonstrate the savings potential of a holistic approach.
      Led by: Prof. Dr.-Ing. habil H. Blume
      Team: Matthias Lüders
      Year: 2023
      Duration: 2023-2026
    • EcoMobility
      During the European project "EcoMobility", the IMS will improve autonomous electric vehicles in regards to sustainability, connectivity and safety together with 46 partners from all over Europe. The IMS will especially focus on intelligent scheduling of tasks on heterogeneous processor systems.
      Led by: Prof. Dr.-Ing. Holger Blume, M.Sc. Matthias Lüders
      Team: M.Sc. Jonas Hollmann
      Year: 2023
      Funding: KDT JU
      Duration: 2023-2025
      [Translate to English:] Offizielles Logo von "EcoMobility" [Translate to English:] Offizielles Logo von "EcoMobility"

    Biomedical Engineering

    • Real-time, low-latency sonification of complex movements
      The goal of this research project in the field of biomedical engineering is to generate an auditory feedback (sonification) of human movements. The IMS focuses on examing the performance of different hardware platforms for this application. Relevant performance parameters are the platforms power dissipation and the overall latency. Finally, the project goal is to enhance stroke rehabilitation by additionally providing auditory arm movement feedback. This could lead to shortened rehabilitation periods. Furthermore, the mobile hardware platform developed at the IMS allows home based rehabilitation.
      Led by: Prof. Dr.-Ing. Blume
      Team: Dipl.-Ing. (FH) H.-P. Brückner
      Year: 2013
      Funding: Europäischer Fonds für regionale Entwicklung (EFRE)
      Duration: February 2011 - June 2013
    • BIOFABRICATION for NIFE
      BIOFABRICATION for NIFE ist ein interdisciplinary research network between the Hanover Medical School, the Leibniz University of Hanover and the Hanover University of Music, Drama and Media. The goal of this research network is to achieve methods for growing biocompatible organic implants with heavily reduced rejection reactions.
      Led by: Prof. Dr.-Ing. Blume
      Team: Dipl.-Ing. Christian Leibold
      Year: 2014
      Funding: VolkswagenStiftung and County Lower Saxony
      Duration: May 2013 - June 2018
    • Hearing4All
      The joint venture "Hearing4all" that the IMS-AS participates in with multiple sub-projects, has been chosen as one of the federal cluster of excellence projects Friday June 15th 2012. In the scope of this project the IMS-AS aims to develop high-performance and low-power processor architectures for digital hearing systems, such as cochlear implants or hearing aids.
      Led by: Prof. Dr.-Ing. H. Blume, Jun.-Prof. Dr.-Ing. G. Payá-Vayá
      Team: M.Sc. C. Seifert, Dipl.-Ing. L. Gerlach
      Year: 2015
      Duration: November 2012 - December 2018
    • Optogenetic
      Within this cooperation with the Institute of Technical Chemistry and the Institute of Quantum Optics of the Leibniz Universität Hannover, methods are being studied to control the behavior of intracellular processes from the outside with light. Optogenetics can be used to specifically modify light-insensitive cells in order to respond to the influence of light. Due to the common previous experience between the project partners, especially optogenetic questions in the context of tissue engineering are focussed.
      Led by: Prof. Dr.-Ing. Holger Blume
      Team: Marc-Nils Wahalla, Dipl.-Ing.
      Year: 2016
    • Efficient Real-time Processing of EEG-Signals
      A brain-computer interface (BCI) is a system that generates signals to control an artificial system based on measurements of the activity of the central nervous system, for example, to replace, enhance or supplement certain tasks of human action. Modern BCIs are often based on the decoding or interpretation of EEG signals, as such systems are both non-invasive and cost-effectively available. These sensors detect a variety of independent, superimposed signals that make their immediate use for controlling a digital system difficult. Therefore, each application and corresponding application environment requires specifically designed and customized algorithms. This project therefore investigates methods for the efficient real-time processing of EEG signals. For this purpose, the Institute of Microelectronic Systems is developing a complete system of dedicated, configurable hardware in combination with a signal-processing framework specially adapted for the processing of EEG signals.
      Led by: Prof. Dr.-Ing. Holger Blume, Jun.-Prof. Dr.-Ing. G. Payá-Vayá
      Team: Marc-Nils Wahalla, Dipl.-Ing.
      Year: 2017
    • ZIM D-Sense - Development of a Testing System for the Diagnosis of Sensorimotor Regulation Abilities in Athletes
      The aim of the project is to develop a mobile diagnostics system which can be used to to assess the sensorimotor regulation abilities in athletes. The system should consist of multiple sensor units and allow the athlete or coach to quickly and precisely perform different functional sensorimotor tests. The sensor units can be placed at different points on or next to the subject's body, depending on the concrete test being performed. Also depending on the test, different algorithms are to be used for classifying and evaluating the measurements from the sensor units. A database helps the user to interpret the test results and provides reference values for risk assessments regarding injuries.
      Led by: Prof. Dr.-Ing. H. Blume
      Team: M.Sc. Fritz Webering
      Year: 2017
      Funding: „Zentrales Innovationsprogramm Mittelstand“ of the BMWi - Federal Ministry for Economic Affairs and Energy
      Duration: 2017-2019

    System Design

    • GEBO - High Temperature Electronic
      In this project, the design of mixed-signal circuits for signal processing is studied under high temperature conditions. For this, research on analog circuits and digital signal processing architectures will be conducted in order to adapt common design approaches to the requirements of high temperature technology.
      Led by: Prof. Dr.-Ing. H. Blume
      Team: Dipl.-Ing. Rochus Nowosielski
      Year: 2014
      Duration: 2009-20111
    • Efficient Real-time Processing of EEG-Signals
      A brain-computer interface (BCI) is a system that generates signals to control an artificial system based on measurements of the activity of the central nervous system, for example, to replace, enhance or supplement certain tasks of human action. Modern BCIs are often based on the decoding or interpretation of EEG signals, as such systems are both non-invasive and cost-effectively available. These sensors detect a variety of independent, superimposed signals that make their immediate use for controlling a digital system difficult. Therefore, each application and corresponding application environment requires specifically designed and customized algorithms. This project therefore investigates methods for the efficient real-time processing of EEG signals. For this purpose, the Institute of Microelectronic Systems is developing a complete system of dedicated, configurable hardware in combination with a signal-processing framework specially adapted for the processing of EEG signals.
      Led by: Prof. Dr.-Ing. Holger Blume, Jun.-Prof. Dr.-Ing. G. Payá-Vayá
      Team: Marc-Nils Wahalla, Dipl.-Ing.
      Year: 2017
    • ZIM D-Sense - Development of a Testing System for the Diagnosis of Sensorimotor Regulation Abilities in Athletes
      The aim of the project is to develop a mobile diagnostics system which can be used to to assess the sensorimotor regulation abilities in athletes. The system should consist of multiple sensor units and allow the athlete or coach to quickly and precisely perform different functional sensorimotor tests. The sensor units can be placed at different points on or next to the subject's body, depending on the concrete test being performed. Also depending on the test, different algorithms are to be used for classifying and evaluating the measurements from the sensor units. A database helps the user to interpret the test results and provides reference values for risk assessments regarding injuries.
      Led by: Prof. Dr.-Ing. H. Blume
      Team: M.Sc. Fritz Webering
      Year: 2017
      Funding: „Zentrales Innovationsprogramm Mittelstand“ of the BMWi - Federal Ministry for Economic Affairs and Energy
      Duration: 2017-2019

    Reconfigurable Architectures

    • Circuit Design and Physical Design for a Novel FPGA Architecture
      Evaluation and analysis of the implemtability and performance of a new type of field programmable gate array (FPGA).
      Led by: Prof. Dr.-Ing. H. Blume, apl. Prof. Dr.-Ing. G. Payá Vayá
      Team: B. Bredthauer, C. Spindeldreier
      Year: 2013
      Funding: Federal Ministry of Education and Reserach
      Duration: May 2013 - June 2014
    • TUKUTURI
      In the TUKUTURI-project, a for ASIC-synthesis optimized VHDL-description of a soft core processor architecture will be optimized for FPGA synthesis. The suitability of special functional units for specific applications with regard to performance and area consumption will be analyzed.
      Led by: Jun.-Prof. Dr.-Ing. G. Payá-Vayá
      Team: M. Sc. Florian Giesemann
      Year: 2014
      Funding: Wege in die Forschung II