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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
41 - 50 of 60
- Ultrasound Waves Based Body Area NetworksFrom3 Oct 2016 → 21 Aug 2023Funding: FWO Strategic Basic Research Grant
- Whispering through my body: ultrasound waves based body area networksFrom1 Oct 2016 → 30 Sep 2018Funding: IOF - Industrial Research Fund
- MICRO2: Micro-electronics for microbiologyFrom1 Jan 2016 → 31 Dec 2019Funding: FWO research project (including WEAVE projects)
- Hardware-Aware Probabilistic Models: Learning, Inference and Use CasesFrom7 Oct 2015 → 24 Nov 2020Funding: Own budget, for example: patrimony, inscription fees, gifts
- Design of self-learning control and measurement circuitry for adaptive bio-electrochemical arraysFrom14 Sep 2015 → 11 Feb 2021Funding: FWO fellowships
- Exploring the Unknown trough Reincarnation and Co-evolutionFrom1 Sep 2015 → 30 Sep 2019Funding: H2020 - Future and Emerging Technologies (FET)
- Context-Aware Pervasive Aerial CommunIcaTion and sIgnal procEssing Systems (CAP ACITIES).From1 Oct 2014 → 30 Sep 2018Funding: BOF - Concerted Research Project from 1994
- Hardware-aware, context-scalable processing for embedded visual navigationFrom2 Sep 2014 → 2 Jun 2021Funding: FWO fellowships
- Multi-functional 5G software defined radio testbedFrom19 May 2014 → 18 Nov 2018Funding: Hercules - Small and Medium size research infrastructure
- Generation And Measurement of Broadband Analog SignalsFrom19 May 2014 → 18 Nov 2018Funding: Hercules - Small and Medium size research infrastructure
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