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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
11 - 20 of 60
- Seamless design of smart edge processorsFrom1 Nov 2022 → TodayFunding: Horizon Europe - Digital, Industry and Space
- heterogeneous multi-processors for data-centric workloadsFrom29 Aug 2022 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Matchmaker: Marrying Emerging AI Algorithms to Emerging AI Hardware through CompilersFrom1 Oct 2021 → TodayFunding: FWO Strategic Basic Research Grant
- HW-algorithm co-design for approximate inference of probabilistic machine learningFrom7 May 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Hardware-algorithm co-optimization of embedded machine learning systemsFrom7 May 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Intelligent Ultra Low-Power Signal Processing for AutomotiveFrom2 Apr 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Block-quantized and data-efficient DNNs on vector processors at the edgeFrom3 Mar 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- PACTIOSTAT: a widely parallel active potentiostat for accelerating electrochemical experimentsFrom1 Feb 2021 → 31 Dec 2022Funding: IOF - technology validation in lab
- IMPULS-AI-2021From1 Jan 2021 → 31 Dec 2023Funding: Department General Affairs and Finance
- Flipchip machine for wide-IO chip bondingFrom1 Jan 2021 → 31 Dec 2022Funding: BOF - scientific equipment program
Publications
1 - 10 of 227
- 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
- CNN-based Robust Sound Source Localization with SRP-PHAT for the Extreme Edge(2023)
Authors: Marian Verhelst
Patents
1 - 3 of 3