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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
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
11 - 20 of 227
- DepFiN: A 12-nm Depth-First, High-Resolution CNN Processor for IO-Efficient Inference(2023)
Authors: Koen Goetschalckx, Marian Verhelst
- Optimizing Embedded Vision Efficiency across the Hardware-dataflow-algorithm Stack(2023)
Authors: Koen Goetschalckx, Marian Verhelst
- Real-Time Acoustic Perception for Automotive Applications(2023)
Authors: Stefano Damiano, Marian Verhelst, Toon van Waterschoot
Number of pages: 6 - Ultra Low Power Adaptive Sensor Nodes(2023)
Authors: Jaro De Roose, Marian Verhelst
- Efficient Execution of Irregular Dataflow Graphs: Hardware/Software Co-optimization for Probabilistic AI and Sparse Triangular Systems(2023)
Authors: Nimish Shirishbhai Shah, Marian Verhelst, Wannes Meert
- TinyVers: A Tiny Versatile System-on-Chip With State-Retentive eMRAM for ML Inference at the Extreme Edge(2023)
Authors: Vikram Jain, Linyan Mei, Marian Verhelst
Pages: 1 - 12 - DIANA: An End-to-End Hybrid DIgital and ANAlog Neural Network SoC for the Edge(2023)
Authors: Vikram Jain, Kodai Ueyoshi, Marian Verhelst
Pages: 203 - 215 - A 16nm 128kB high-density fully digital In Memory Compute macro with reverse SRAM pre-charge achieving 0.36TOPs/mm2, 256kB/mm2 and 23. 8TOPs/W(2023)
Authors: Pouya Houshmand, Marian Verhelst, Wim Dehaene
Pages: 409 - 412 - Stream: A Modeling Framework for Fine-grained Layer Fusion on Multi-core DNN Accelerators(2023)
Authors: Arne Symons, Linyan Mei, Pouya Houshmand, Marian Verhelst
Pages: 355 - 357Number of pages: 3 - A 96-channel 40nm CMOS Potentiostat for Parallel Experiments on Microbial Electrochemical Systems(2023)
Authors: Peishuo Li, Marian Verhelst
Patents
1 - 3 of 3