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
1 - 10 of 60
- Explore chiplet-based processors that can be easily integrated together / tiled in a heterogeneous wayFrom29 Apr 2024 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Bringing generative AI to edge devices through interoperable heterogeneous compute coresFrom5 Mar 2024 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Lifelong-Learning Electronic Systems: edge-devices that get smarter day-by-day [LifeLinES]From1 Jan 2024 → TodayFunding: BOF - Methusalem
- Digital in memory compute for low energy biomedical machine learning applicationsFrom23 Nov 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Scalable large array nanopore readouts for proteomics and next-generation sequencingFrom2 Oct 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Efficient scheduling and compilation of embedded multi-core AI platformsFrom1 Sep 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Efficient multi-core processor design for heterogeneous AI workloadsFrom7 Aug 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
- Outplaying the hardware lottery for embedded AIFrom1 Jun 2023 → TodayFunding: Horizon Europe - European Research Council (ERC)
- System-Technology Co-optimization for enablement of MRAM-based Machine LearningFrom25 May 2023 → 7 Mar 2024Funding: Own budget, for example: patrimony, inscription fees, gifts
- Design Automation and Exploration for Energy Efficient Machine Learning SoCs and ChipletsFrom31 Jan 2023 → TodayFunding: Own budget, for example: patrimony, inscription fees, gifts
Publications
131 - 140 of 231
- Exploring the unknown through low power and low resource versatile agents(2017)
Authors: Martin Andraud, Gonenc Berkol, Jaro De Roose, Santosh Gannavarapu, Haoming Xin, Eugenio Cantatore, Pieter Harpe, Marian Verhelst, Pieter Baltus
Pages: 290 - 293 - Exploring the unknown through successive generations of low power and low resource versatile agents(2017)
Authors: Martin Andraud, Jaro De Roose, Marian Verhelst
Pages: 290 - 293 - Saving energy in WSNs for acoustic surveillance applications while maintaining QoS(2017)
Authors: Bart Thoen, Geoffrey Ottoy, Steven Lauwereins, Sreeraj Rajendran, Lieven De Strycker, Sofie Pollin, Marian Verhelst
Pages: 1 - 6 - Split-Delta Background Calibration for SAR ADCs(2017)
Authors: JC Peña Ramos, Marian Verhelst
Pages: 221 - 225 - Envision: A 0.26-to-10 TOPS/W Subword-Parallel Dynamic-Voltage-Accuracy-Frequency-Scalable Convolutional Neural Network Processor in 28nm FDSOI(2017)
Authors: Bert Moons, Roel Uytterhoeven, Wim Dehaene, Marian Verhelst
Pages: 246 - 247 - Impact of Interference Correlation on the Decoding Error Statistics(2017)
Authors: Mohammad Mahdi Azari, Marian Verhelst, Sofie Pollin
Pages: 1115 - 1119Number of pages: 5 - A review on Internet of Things Solutions for Intelligent Energy control in buildings for smart city applications(2017)
Authors: Marian Verhelst, Georges Gielen
Pages: 770 - 779 - A 172 $\mu$W Compressively Sampled Photoplethysmographic (PPG) readout ASIC with Heart Rate Estimation Directly from Compressively Sampled Data(2017)
Authors: Venkata Rajesh Pamula, Chris Van Hoof, Marian Verhelst
Pages: 487 - 496 - An ultra-low power, robust photoplethysmographic readout exploiting compressive sampling, artifact reduction and sensor fusion(2017)
Authors: Chris Van Hoof, Marian Verhelst
Pages: 145 - 163 - An 8-11 Bit 320kS/S Resolution Scalable Noise Shaping SAR ADC(2017)
Authors: Thomas Bos, Komail Badami, Wim Dehaene, Marian Verhelst
Pages: 209 - 212
Patents
1 - 3 of 3