Zilverling

A. Yousefzadeh PhD (Amir)

Universitair docent
EEMCS-CS-CAES
Zilverling 5090
a.yousefzadeh@utwente.nl
+31534897988
Visitekaartje

Ik ben in februari 2024 bij de Universiteit Twente begonnen als universitair docent edge AI. Mijn focus ligt op het ontwerpen van embedded AI en neuromorfische systemen.


Kort CV:


Ph.D. in neuromorfische engineering bij IMSE, proefschrift: Digital Design For Neuromorphic Bio-Inspired Vision Processing

2018-2020: Bij de startup GrAI Matter Labs, later overgenomen door SNAP, heb ik voornamelijk gewerkt aan de architectuur van de NeuronFlow-processor

2020-2024: Bij imec, bij de Hardware Efficient AI-groep, heb ik voornamelijk gewerkt aan de architectuur van de SENECA-processor

2024-heden: universitair docent, Computer Architecture for Embedded Systems

Expertises

  • Computer Science

    • Neural Network
    • Computer Hardware
    • Artificial Intelligence
    • Energy Efficient
    • Electronic Learning
    • Edge AI
    • Multicore

  • Engineering

    • Artificial Neural Network

Organisaties

Mijn onderzoeksinteresses:

  • Neuromorphic Sensing and processing
  • Low Power AI processos
  • Hardware aware algorithm design

Ik gebruik uitgebreid digitale hardware-ontwerptools en gate-level simulaties om hardware-architecturen te co-optimaliseren met neurale netwerkalgoritmen. Enkele van mijn technische ervaringen:

  • Ontwerp van programmeerbare neuromorfische processoren voor ingebedde AI-toepassingen
  • On-device leeralgoritmen en hardwareversnellers
  • Bio-geïnspireerde visuele verwerking
  • Benchmarking en vergelijking van verschillende algoritme-optimalisaties in hardware

Op zoek naar PhD- of postdoc-posities: kijk op de UTwente-carrièrewebsite. Alle posities worden daar geadverteerd en sollicitaties moeten online worden ingediend. Stuur uw sollicitatie niet per e-mail.

Op zoek naar masterscriptie of stage: stuur me een e-mail met uw cv en cijfers (zowel bachelor als master).

Publicaties

2025

TrackCore-F: Deploying Transformer-Based Subatomic Particle Tracking on FPGAs (2025)[Working paper › Preprint]. ArXiv.org. Blankestijn, A., Odyurt, U. & Yousefzadeh, A.https://doi.org/10.48550/arXiv.2509.26335Memory Wall is not gone: A Critical Outlook on Memory Architecture in Digital Neuromorphic Computing (2025)In IEEE Computer Society Annual Symposium on VLSI, ISVLSI 2025 - Conference Proceedings (Proceedings of IEEE Computer Society Annual Symposium on VLSI, ISVLSI). IEEE. Yousefzadeh, A., Sohail, S. & Varbanescu, A. L.https://doi.org/10.1109/ISVLSI65124.2025.11130262Event-based optical flow on neuromorphic processor: ANN vs. SNN comparison based on activation sparsification (2025)Neural networks, 188. Article 107447. Xu, Y., Tang, G., Yousefzadeh, A., de Croon, G. C. H. E. & Sifalakis, M.https://doi.org/10.1016/j.neunet.2025.107447Sparse Convolutional Recurrent Learning for Efficient Event-based Neuromorphic Object Detection (2025)[Working paper › Preprint]. ArXiv.org. Wang, S., Xu, Y., Yousefzadeh, A., Eissa, S., Corporaal, H., Corradi, F. & Tang, G.https://doi.org/10.48550/arXiv.2506.13440Senmap: Multi-objective data-flow mapping and synthesis for hybrid scalable neuromorphic systems (2025)[Working paper › Preprint]. ArXiv.org. Nembhani, P. V., Rhodes, O., Tang, G., Dobrita, A. F., Xu, Y., Vadivel, K., Shidqi, K., Detterer, P., Konijnenburg, M., van Schaik, G.-J., Sifalakis, M., Al-Ars, Z. & Yousefzadeh, A.https://doi.org/10.48550/arXiv.2506.03450Efficient Synaptic Delay Implementation in Digital Event-Driven AI Accelerators (2025)[Working paper › Preprint]. ArXiv.org. Meijer, R., Detterer, P., Yousefzadeh, A., Patino-Saucedo, A., Tang, G., Vadivel, K., Xu, Y., Gomony, M.-D., Corradi, F., Linares-Barranco, B. & Sifalakis, M.https://doi.org/10.48550/arXiv.2501.13610Explore Activation Sparsity in Recurrent LLMs for Energy-Efficient Neuromorphic Computing (2025)[Working paper › Preprint]. ArXiv.org. Knunyants, I., Tavakol, M., Sifalakis, M., Xu, Y., Yousefzadeh, A. & Tang, G.https://doi.org/10.48550/arXiv.2501.16337

2024

EON-1: A Brain-Inspired Processor for Near-Sensor Extreme Edge Online Feature Extraction (2024)IEEE Transactions on Circuits and Systems for Artificial Intelligence, 1(2), 128-140. Article 10744412. Dobrita, A., Yousefzadeh, A., Thorpe, S., Vadivel, K., Detterer, P., Tang, G., Schaik, G.-J. v., Konijnenburg, M., Gebregiorgis, A., Hamdioui, S. & Sifalakis, M.https://doi.org/10.1109/TCASAI.2024.3491673Energy-efficient SNN Architecture using 3nm FinFET Multiport SRAM-based CIM with Online Learning (2024)In Proceedings of the 61st ACM/IEEE Design Automation Conference, DAC 2024 (pp. 1-6). Article 260 (Proceedings - Design Automation Conference). IEEE. Huijbregts, L., Liu, H. H., Detterer, P., Hamdioui, S., Yousefzadeh, A. & Bishnoi, R.https://doi.org/10.1145/3649329.3656514Invited: Neuromorphic Vision Modalities in the NimbleAI 3D Chip (2024)In Proceedings of the 61st ACM/IEEE Design Automation Conference, DAC 2024 (pp. 1-4). Article 358 (Proceedings - Design Automation Conference). IEEE. Iturbe, X., Linares-Barranco, B., Ieng, S. H., Erdmann, A., Peres, L., Rhodes, O., Tornero, R., Sifalakis, M., Van De Burgwal, M., Yousefzadeh, A., Kooli, M., Alidori, R. & Zaykov, P.https://doi.org/10.1145/3649329.3689622

Onderzoeksprofielen

Funded projects: 

  1. NeAIxt (2025): Next Generation of edge AI crossing technology fields
  2. TIRAMISU(2024): Training and Innovation in Reliable and Efficient Chip Design for Edge AI
  3. NEUROKIT2E(2023): Open-source deep learning platform dedicated to Embedded hardware and Europe
  4. REBECCA(2023): Reconfigurable Heterogeneous Highly Parallel Processing Platform for safe and secure AI
  5. NimbleAI(2022): Ultra-energy efficient and secure neuromorphic sensing and processing at the endpoint

PhD Students: 

  1. Sameed Sohail(2024-Present): Embedded Neuromorphic Processor Architecture with On-Device Adaptation

Master students: 

  1. Lennart Jensen (2026): Improving reliability of neuromorphic processor for space applications
  2. Peter Kingma (2026): Error correction for a fast asynchronous neuromorphic link
  3. Ada Dotsika (2026): Analog implementation of GRU unit for keyword spotting applications
  4. Douwe Vries (2026): Post-synthesis power optimization for digital neuromorphic processors
  5. Pratik Phadte (2026): Near sensor processing for smart lighting application
  6. Belal Elshinnawey (2026): Embedded FPGA design for neuromorphic processors
  7. Arjan Blankestijn(2026): Accelerating Transformers on ZynQ platforms (work in progress conference presentation)
  8. Bram Bremer(2025): Real-time acoustic imaging on an FPGA using recurrent neural networks
  9. Mattias Westerink(2025): Designing co-processor for RISC-V-based neuromorphic system
  10. Wiebren Wijnstra(2025): Optimizing RISC-V processors for neuromorphic workloads
  11. Wim Nijsink(2025): Measuring the reliability of existing neuromorphic solutions
  12. Sharon Moolenaar(2025): Optimizing Network on chip for neuromorphic processors
  13. Haoran Wolfgang(2024): Low latency hardware accelerator for sparse convolutional recurrent network toward neuromorphic object detection
  14. Ivan Knunyants(2024): Optimizing transformer neural networks for event-driven inference in hardware
  15. Yashwanth Gopinath(2024): Open-source RISC-V-based neuromorphic processor
  16. Roel Koopman (2023): Overcoming the Limitations of Layer Synchronization in Spiking Neural Networks
  17. Cina Arjmand (2023): Trainable Region of Interest Prediction: Hard Attention Framework for Hardware-Efficient Event-Based Computer Vision Neural Networks on Neuromorphic Processors  
  18. Lucas Huijbregts (2023): Transposable Multiport SRAM-based In-Memory Compute Engine for Binary Spiking Neural Networks in 3nm FinFET
  19. Shenqi Wang (2023): Hardware Efficient Object Detection for High Spatial Resolution Event Camera
  20. Refik Can Bilgiç (2023):  Analytical Modelling of 3D System Partitioning
  21. Pietro Martinello (2023): Forging a Multimodal Dataset: Uniting Diverse Sensor Data for Enhanced Analysis
  22. Roy Meijer (2023): Efficient Synaptic Delay Implementation in Digital Event-Driven Neuromorphic Processors
  23. Kevin Shidqi (2022): Benchmarking and Algorithm Optimization for SENeCA, a RISC-V-based Neuromorphic Processor
  24. Alexandra-Florentina Dobrit (2022): Brain-inspired feature extraction for near sensor extreme edge processing with Spiking Neural Networks
  25. Prithvish Vijaykumar Nembhani (2022): Efficient mapping of large-scale SNN and rate-based DNN on SENeCA
  26. Preetha Vijayan (2021): Temporal Delta Layer: Exploiting Temporal Sparsity in Deep Neural Networks for Time-Series Data

Bachelor students:

  1. Bas Reterink (2025): Person detection using an event-based camera on STM32
  2. Pierluigi Gatt(2025): Person detection using an event-based camera on STM32
  3. Mattijn Spitteler(2025): Improving the analogue section of IO extenders for a hydraulic cylinder controller

Visiting students:

  1. Ege Tan (2025): neuromorphic processor external communication 
  2. Ethan Milon(2024): Radar processing for smart office applications
  3. Mustafa Canitz(2024): Event-based camera processing for smart office applications
  4. YingFu Xu (2022):  Implementation of bio-inspired Optimical flow algorithm in neuromorphic processor
  5. Alberto Patino-Saucedo (2022): Hardware-aware training of models with synaptic delays for digital event-driven neuromorphic processors
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