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
- HW/SW Co-Design of Scalable ML Multi-Core Processor for Large Scale DNN ModelsFrom23 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
- 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
151 - 160 of 231
- A 172_x0019_$lW compressive sampling photoplethysmographic readout with embedded direct heart-rate and variability extraction from compressively sampled data(2016)
Authors: Venkata Rajesh Pamula, Chris Van Hoof, Marian Verhelst
Pages: 386 - 387 - Optimizing the Code Rate of Energy-Constrained Wireless Communications with HARQ(2016)
Authors: Fernando Rosas, Marian Verhelst, Sofie Pollin
Pages: 191 - 205 - Technology optimization for high bandwidth density applications on 3D interposer(2016)
Authors: Nicolas Pantano, Marian Verhelst, Marc Heyns
Pages: 1 - 6 - Extending naive Bayes with precision-tunable feature variables for resource-efficient sensor fusion(2016)
Authors: Laura Isabel Galindez Olascoaga, Wannes Meert, Herman Bruyninckx, Marian Verhelst
Pages: 23 - 30 - A 17nA, 47.2dB Dynamic Range, Adaptive Sampling Controller for Online Data Rate Reduction in Low Power ECG Systems(2016)
Authors: Marian Verhelst, Chris Van Hoof
Pages: 272 - 275 - A 90 nm CMOS, 6 μW Power-Proportional Acoustic Sensing Frontend for Voice Activity Detection(2016)
Authors: Komail Badami, Steven Lauwereins, Wannes Meert, Marian Verhelst
Pages: 291 - 302 - A Switched-Capacitor degenerated, scalable gm - C filter-bank for acoustic front-ends(2016)
Authors: Komail Badami, Venkata Rajesh Pamula, Marian Verhelst
Pages: 818 - 821 - Performance Analysis of In-Band Full Duplex Collision and Interference Detection in Dense Networks(2016)
Authors: Tom Vermeulen, Fernando Rosas, Marian Verhelst, Sofie Pollin
Pages: 595 - 601 - Exploiting System Configurability towards Dynamic Accuracy-Power Trade-offs in Sensor Front-ends(2016)
Authors: Laura Isabel Galindez Olascoaga, Komail Badami, Venkata Rajesh Pamula, Steven Lauwereins, Wannes Meert, Marian Verhelst
Pages: 1027 - 1031Number of pages: 5 - A 90 nm CMOS, 6 μW Power-Proportional Acoustic Sensing Frontend for Voice Activity Detection(2016)
Authors: Komail Badami, Steven Lauwereins, Wannes Meert, Marian Verhelst
Pages: 291 - 302
Patents
1 - 3 of 3