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Researcher
Marian Verhelst
- Disciplines:Nanotechnology, Sensors, biosensors and smart sensors, Other electrical and electronic engineering, Design theories and methods
Affiliations
- Electronic Circuits and Systems (ECS) (Division)
Member
From1 Aug 2020 → 30 Sep 2022 - ESAT - MICAS, Microelectronics and Sensors (Division)
Member
From1 Dec 2007 → 31 Jul 2020 - Department of Electrical Engineering (ESAT) (Department)
Member
From1 Oct 2003 → 30 Nov 2007
Projects
31 - 40 of 60
- Design Space Exploration of Deep Learning AcceleratorsFrom31 Aug 2018 → 24 Aug 2023Funding: Own budget, for example: patrimony, inscription fees, gifts
- MINERVA: MIcro- and NanoElectronics Research VAlidationFrom1 May 2018 → 30 Apr 2022Funding: FWO International research infrastructure (IRI)
- Hyper-dimensional scalable sensors: the road forward to always-on context-awareness in electronic devices? (HYPERSCALES)From1 Jan 2018 → 31 Dec 2021Funding: FWO research project (including WEAVE projects)
- Optimal Deep Learning implementations on FPGA for industrial image processing applicationsFrom25 Sep 2017 → 14 Sep 2018Funding: Own budget, for example: patrimony, inscription fees, gifts
- Optimizing Embedded Vision Efficiency across the Hardware-dataflow-algorithm StackFrom1 Sep 2017 → 26 Apr 2023Funding: Own budget, for example: patrimony, inscription fees, gifts
- Microelectronics for MicrobiologyFrom17 Aug 2017 → 17 Oct 2023Funding: Own budget, for example: patrimony, inscription fees, gifts
- Chips at the heart of application demonstrators: MICAS exploring new valorization horizons.From1 May 2017 → TodayFunding: IOF - mandates, IOF - Industrial Research Fund
- 720° perception for safe and autonomous systemsFrom1 May 2017 → 30 Apr 2021Funding: FWO Strategic Basic Research (SBO)
- Resource-efficient sensing trough dynamic attention-scalabilityFrom1 Mar 2017 → 28 Feb 2022Funding: H2020 - Frontier Research (ERC)
- Ultra Low Power Adaptive Sensor NodesFrom3 Oct 2016 → 9 Feb 2023Funding: Own budget, for example: patrimony, inscription fees, gifts
Publications
1 - 10 of 231
- Modeling and Analysis for Efficient Hardware Mapping of Neural Network Algorithms(2024)
Authors: Steven Colleman, Marian Verhelst
- Resource-Constrained Training of Deep Neural Networks for Industrial Computer Vision Applications(2023)
Authors: Robby Neven, Toon Goedemé, Marian Verhelst, Tinne Tuytelaars
- Microelectronics for Microbiology(2023)
Authors: Peishuo Li, Marian Verhelst
- The “Eagle” Approach To Train Electrical Engineers With Collaborative Problem-Solving Skills(2023)
Authors: Merijn Van Deyck, Martijn Deckers, Abdul Saboor, Pouya Mehrjouseresht, Zhenda Zhang, Arne Symons, Alexander Bodard, Marian Verhelst, Alexander Bertrand, Ruth Vazquez Sabariego, et al.
Number of pages: 14 - An Online-Spike-Sorting IC Using Unsupervised Geometry-Aware OSort Clustering for Efficient Embedded Neural-Signal Processing(2023)
Authors: Georges Gielen, Francky Catthoor, Marian Verhelst
- Design Space Exploration of Deep Learning Accelerators(2023)
Authors: Linyan Mei, Marian Verhelst
- Ultrasound In-Body Communication: Channels, Modems and Hardware for Ultrasound In-Body Communication Links(2023)
Authors: Thomas Bos, Wim Dehaene, Marian Verhelst
- An End-to-End Dual ASIC OFDM Transceiver for Ultrasound In-Body Communication(2023)
Authors: Marian Verhelst, Wim Dehaene
Pages: 664 - 673 - COAC: Cross-Layer Optimization of Accelerator Configurability for Efficient CNN Processing(2023)
Authors: Steven Colleman, Marian Verhelst
Pages: 945 - 958 - Towards Heterogeneous Multi-core Systems-on-Chip for Edge Machine Learning(2023)
Authors: Vikram Jain, Marian Verhelst, Peter Karsmakers
Patents
1 - 3 of 3