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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 → Today - ESAT - MICAS, Microelectronics and Sensors (Division)
Member
From1 Dec 2007 → 31 Jul 2020
Projects
1 - 10 of 43 results
- Deep Learning Compiler for Hardware Accelerators and Embedded DevicesFrom1 Oct 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
- HW-algorithm co-design for approximate inference of probabilistic machine learningFrom7 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
- Hardware Efficient Training of Deep Neural NetworksFrom3 Mar 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Flipchip machine for wide-IO chip bondingFrom1 Feb 2021 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Flipchip machine for wide-IO chip bondingFrom1 Jan 2021 → TodayFunding: BOF - scientific equipment program
- Intelligent Ultra Low-Power Signal Processing for AutomotiveFrom1 Nov 2020 → TodayFunding: H2020 - Skills and Career Development (Marie Skłodowska-Curie) actions
- System Architecture exploration for AI accelerator platformsFrom2 Sep 2020 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Enabling autonomous learning and decisioning in tiny devicesFrom2 Sep 2020 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
Publications
1 - 10 of 167 results
- A 96-channel 40nm CMOS Fully-Integrated Potentiostat for Electrochemical Monitoring(2021)
Authors: Peishuo Li, Tom Molderez, Marian Verhelst
Pages: 167 - 170 - ZigZag: Enlarging Joint Architecture-Mapping Design Space Exploration for DNN Accelerators(2021)
Authors: Linyan Mei, Pouya Houshmand, Vikram Jain, Sebastian Giraldo, Marian Verhelst
Pages: 1160 - 1174Number of pages: 15 - DepFiN: A 12nm, 3.8TOPs depth-first CNN processor for high res. image processing(2021)
Authors: Koen Goetschalckx, Marian Verhelst
Pages: 1 - 2 - LOMA: Fast Auto-Scheduling on DNN Accelerators through Loop-Order-based Memory Allocation(2021)
Authors: Arne Symons, Linyan Mei, Marian Verhelst
Pages: 1 - 4 - Highly Parallel Architectures – Programmable Pipeline Systems as a Solution to the Memory Bottleneck(2021)
Authors: Sander Smets, Marian Verhelst, Toon Goedemé
- Performance analysis of in-band collision detection for dense wireless networks(2021)
Authors: Tom Vermeulen, Brecht Reynders, Fernando E Rosas, Marian Verhelst, Sofie Pollin
Number of pages: 23 - A Scalable 128-Channel, Time-Multiplexed Potentiostat for Parallel Electrochemical Experiments(2021)
Authors: Tom R Molderez, Korneel Rabaey, Marian Verhelst
Pages: 1068 - 1079Number of pages: 12 - A Scalable 128-channel, Time-multiplexed Potentiostat for Parallel Electrochemical Experiments(2021)
Authors: Tom Molderez, Korneel Rabaey, Marian Verhelst
Pages: 1068 - 1079Number of pages: 12 - A chip-based 128-channel potentiostat for high-throughput studies of bioelectrochemical systems: Optimal electrode potentials for anodic biofilms(2021)
Authors: Tom Molderez, Antonin Prévoteau, Frederik Ceyssens, Marian Verhelst, Korneel Rabaey
Number of pages: 9 - Microelectronics for Microorganisms: Measurement Instrumentation and Optimization Algorithms for Electroactive Biofilms(2021)
Authors: Tom Molderez, Marian Verhelst, Korneel Rabaey