dr.ir. C. Strydis

Guest
Bioelectronics (BE), Department of Microelectronics

Expertise: High-performance computational-neuroscience applications, dependable computer architectures, low-power embedded systems and biomedical microelectronic implants

Themes: Health and Wellbeing

Biography

Christos Strydis holds a joint associate-professor with the Neuroscience department of the Erasmus Medical Center and with the Quantum & Computer Engineering department of Delft University of Technology. He is also a chief engineer with Neurasmus BV, the Netherlands. He is the founder and head of the Neurocomputing Laboratory (https://neurocomputinglab.com) and a senior member of the IEEE. Dr. Strydis studied Electronics & Computer Engineering at the Technical University of Crete, Greece, and in 2003 received his bachelor's diploma (magna cum laude). In 2005, he obtained his M.Sc. degree (magna cum laude) in Computer Engineering from the Delft University of Technology, The Netherlands, with a minor in Biomedical Engineering. In 2011, he obtained his Ph.D. degree in Computer Engineering from the Delft University of Technology and funding by the ICT Delft Research Centre (DRC-ICT) and Google Inc. Christos has acted as technical-program-committee member in various international conferences. He has also peer-reviewed for as well as published manuscripts in well-known international conferences and journals, and delivered invited talks in various venues. He has been awarded a number of national- and EU-level research projects. Christos has supervised multiple BSc, MSc and PhD students, and teaches several bachelor- and master-level courses. His current research interests span the fields of brain simulations, high-performance computing, low-power embedded (in particular, implantable) systems and functional ultrasound imaging.

EE4555 Active implantable biomedical microsystems

Cardiac pacemakers, cochlear implants, neuroprostheses, brain–computer interfaces, deep organ pressure sensors, precise drug delivery units, bioelectronic medicine and electroceuticals

TM12003 Electrostimulation of Neurophysiological systems

  1. Zero-Power Defense Done Right: Shielding IMDs from Battery-Depletion Attacks
    Muhammad Ali Siddiqi; Wouter A. Serdijn; Christos Strydis;
    Journal of Signal Processing Systems (Elsevier),
    8 April 2020. DOI: https://doi.org/10.1007/s11265-020-01530-5
    document

  2. A real-time reconfigurable architecture for large-scale biophysically-accurate neuron simulation
    A. Zjajo; J. Hofmann; G.J. Christiaanse; M. van Eijk; G. Smaragdos; C. Strydis; A. de Graaf; C. Galuzzi; R. van Leuken;
    IEEE Transactions on Biomedical Circuits and Systems,
    Volume 12, Issue 2, pp. 326-337, 2018. DOI: 10.1109/TBCAS.2017.2780287
    document

  3. Efficient and Flexible Spatiotemporal Clutter Filtering of High Frame Rate Images Using Subspace Tracking
    B.S. Generowicz; G. Leus; S.S. Tbalvandanv; W.S. Van Hoogstraten; C. Strydis; J.G. Bosch; A.F.W. van der Steen; C.I. de Zeeuw; S.K.E. Koekkoek; P. Kruizinga;
    In 2018 IEEE International Ultrasonics Symposium (IUS),
    pp. 206-212, Oct. 2018. ISSN 1948-5727. DOI: 10.1109/ULTSYM.2018.8579775
    document

  4. High Frequency Functional Ultrasound in Mice
    S.K.E. Koekkoek; S.S. Tbalvandany; B.S. Generowicz; W.S. van Hoogstraten; N.L. de Oude; H.J. Boele; C. Strydis; G. Leus; J.G. Bosch; A.F.W. van der Steen; C.I. de Zeeuw; P. Kruizinga;
    In 2018 IEEE International Ultrasonics Symposium (IUS),
    pp. 1-4, Oct. 2018. ISSN 1948-5727. DOI: 10.1109/ULTSYM.2018.8579865
    document

  5. Resilient chip multiprocessors with mixed-grained reconfigurability
    Sourdis, I., Khan, D.A., Malek, A., Tzilis, S., Smaragdos, G.; Strydis, C.;
    IEEE Micro,
    Volume 36, Issue 1, pp. 35-45, 2016.
    document

  6. The VINEYARD approach: Versatile, integrated, accelerator-based, heterogeneous data centres
    Kachris, C., Soudris, D., Gaydadjiev, G., Nguyen, H.-N., Nikolopoulos, D.S., Bilas, A., Morgan, N.; Strydis, C.; Tsalidis, C., Balafas, J., Jimenez-Peris, R., Almeida, A.;
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),
    Volume 9625, pp. 3-13, 2016.
    document

  7. Balancing Accuracy, Delay and Battery Autonomy for Pervasive Seizure Detection
    Athanasios Karapatis; Robert Mark Seepers; Marijn van Dongen; Wouter A. Serdijn; Christos Strydis;
    In 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC 2016),
    Orlando, Florida, USA, IEEE, August 16-20 2016.
    document

  8. First impressions from detailed brain model simulations on a xeon/xeon-phi node
    Chatzikonstantis, G., Rodopoulos, D., Nomikou, S.; Strydis, C.; De Zeeuw, C.I., Soudris, D.;
    In 2016 ACM International Conference on Computing Frontiers - Proceedings,
    pp. 361-364, 2016.
    document

  9. MCluster: A Software Framework for Portable Device-Based Volunteer Computing
    Theodoropoulos, D., Chrysos, G., Koidis, I., Charitopoulos, G., Pissadakis, E., Varikos, A., Pnevmatikatos, D., Smaragdos, G.; Strydis, C.; Zervos, N.;
    In Proceedings - 2016 16th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing, CCGrid 2016,
    pp. 336-341, 2016.
    document

  10. Runtime interval optimization and dependable performance for application-level checkpointing
    Kokolis, A., Mavrogiannis, A., Rodopoulos, D.; Strydis, C.; Soudris, D.;
    In Proceedings of the 2016 Design, Automation and Test in Europe Conference and Exhibition, DATE 2016,
    pp. 594-599, 2016.
    document

  11. The VINEYARD project: Versatile integrated accelerator-based heterogeneous data centres
    Kachris, C., Gaydadjiev, G., Nguyen, H.-N., Nikolopoulos, D.S., Bilas, A., Morgan, N.; Strydis, C.; Spatadakis, V., Gardelis, D., Jimenez-Peris, R., Almeida, A.;
    In 2016 5th International Conference on Modern Circuits and Systems Technologies, MOCAST 2016,
    2016.
    document

  12. Performance analysis of accelerated biophysically-meaningful neuron simulations
    Smaragdos, G., Chatzikostantis, G., Nomikou, S., Rodopoulos, D., Sourdis, I., Soudris, D., De Zeeuw, C.I.; Strydis, C.;
    In ISPASS 2016 - International Symposium on Performance Analysis of Systems and Software,
    pp. 1-11, 2016.
    document

  13. Secure key-exchange protocol for implants using heartbeats
    Seepers, R.M., Weber, J.H., Erkin, Z., Sourdis, I.; Strydis, C.;
    In 2016 ACM International Conference on Computing Frontiers - Proceedings,
    pp. 119-126, 2016.
    document

  14. Cerebellar output controls generalized spike-and-wave discharge occurrence
    Kros, Lieke; Eelkman Rooda, Oscar H.J.; Spanke, Jochen K.; Alva, Parimala; van Dongen, Marijn N.; Karapatis, Athanasios; Tolner, Else A.; Strydis, Christos; Davey, Neil; Winkelman, Beerend H.J.; Negrello, Mario; Serdijn, W;
    Annals of Neurology,
    Volume 77, Issue 6, pp. 1027–-1049, June 2015.
    document

  15. Dependable multicore architectures at nanoscale: The view from Europe
    Ottavi, M., Pontarelli, S., Gizopoulos, D., Paschalis, A., Bolchini, C., Michael, M.K., Anghel, L., Tahoori, M., Reviriego, P., Bringmann, O., Izosimov, V., Manhaeve, H.; Strydis, C.; Hamdioui, S.;
    IEEE Design and Test,
    Volume 32, Issue 2, pp. 17-28, 2015.
    document

  16. Increasing the trustworthiness of embedded applications
    Athanasopoulos, E., Boehner, M., Giuffrida, C., Pidan, D., Prevelakis, V., Sourdis, I.; Strydis, C.; Thomson, J.;
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),
    Volume 9229, pp. 321-322, 2015.
    document

  17. Secure hardware-software architectures for robust computing systems
    Athanasopoulos, E., Boehner, M., Ioannidis, S., Giuffrida, C., Pidan, D., Prevelakis, V., Sourdis, I.; Strydis, C.; Thomson, J.;
    Communications in Computer and Information Science,
    Volume 570, pp. 209-212, 2015.
    document

  18. Accelerating complex brain-model simulations on GPU platforms
    Nguyen, H.A.D., Al-Ars, Z., Smaragdos, G.; Strydis, C.;
    In Proceedings -Design, Automation and Test in Europe, DATE,
    pp. 974-979, 2015.
    document

  19. Reducing the performance overhead of resilient CMPs with substitutable resources
    Malek, A., Tzilis, S., Khan, D.A., Sourdis, I., Smaragdos, G.; Strydis, C.;
    In Proceedings of the 2015 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems, DFTS 2015,
    pp. 191-196, 2015.
    document

  20. On using a von neumann extractor in heart-beat-based security
    Seepers, R.M.; Strydis, C.; Sourdis, I., De Zeeuw, C.I.;
    In Proceedings - 14th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom 2015,
    pp. 491-498, 2015.
    document

  21. Cerebellar control of gait and interlimb coordination
    Vinueza Veloz, M.F., Zhou, K., Bosman, L.W.J., Potters, J.-W., Negrello, M., Seepers, R.M.; Strydis, C.; Koekkoek, S.K.E., De Zeeuw, C.I.;
    Brain Structure and Function,
    Volume 220, Issue 6, pp. 3513-3536, 2014.
    document

  22. Real-time olivary neuron simulations on dataflow computing machines
    Smaragdos, G., Davies, C.; Strydis, C.; Sourdis, I., Ciobanu, C., Mencer, O., De Zeeuw, C.I.;
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),
    Volume 8488 LNCS, pp. 487-497, 2014.
    document

  23. DeSyRe: On-demand adaptive and reconfigurable fault-tolerant SoCs
    Sourdis, I.; Strydis, C.; Armato, A., Bouganis, C.-S., Falsafi, B., Gaydadjiev, G.N., Isaza, S., Malek, A., Mariani, R., Pagliarini, S., Pnevmatikatos, D.N., Pradhan, D.K., Rauwerda, G., Seepers, R.M., Shafik, R.A., Smaragdos, G., Theodoropoulos, D.;
    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics),
    Volume 8405 LNCS, pp. 312-317, 2014.
    document

  24. Towards scalable arithmetic units with graceful degradation
    Riemens, D.P., Gaydadjiev, G.N., De Zeeuw, C.I.; Strydis, C.;
    ACM Transactions on Embedded Computing Systems,
    Volume 13, Issue 4, 2014.
    document

  25. ESL design of customizable real-time neuron networks
    M. van Eijk; C. Galuzzi; A. Zjajo; G. Smargdos; C. Strydis; R. van Leuken;
    In IEEE Biomedical Circuits and Systems Conference,
    Lausanne, Switzerland, pp. 1-4, 2014.

  26. FPGA-based Biophysically-meaningful Modeling of Olivocerebellar Neurons
    G. Smaragdos; S. Isaza; M.F. van Eijk; I. Sourdis; C. Strydis;
    In Proc. 2014 ACM/SIGDA International Symposium on Field-programmable Gate Arrays (FPGA'14),
    Monterey, California, USA, ACM, pp. 89-98, 2014. ISBN 978-1-4503-2671-1. DOI: 10.1145/2554688.2554790
    document

  27. FPGA-based biophysically-meaningful modeling of olivocerebellar neurons
    Smaragdos, G., Isaza, S., Van Eijk, M., Sourdis, I.; Strydis, C.;
    In ACM/SIGDA International Symposium on Field Programmable Gate Arrays - FPGA,
    pp. 89-98, 2014.
    document

  28. Special session on 'brain-targeted and brain-inspired computing'
    Strydis, C.;
    In Proceedings - International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation, SAMOS 2014,
    pp. 358, 2014.
    document

  29. Adaptive entity-identifier generation for IMD emergency access
    Seepers, R.M.; Strydis, C.; Sourdis, I., De Zeeuw, C.I.;
    In ACM International Conference Proceeding Series,
    pp. 41-44, 2014.
    document

  30. Optimal mapping of inferior olive neuron simulations on the Single-Chip Cloud Computer
    Rodopoulos, D., Chatzikonstantis, G., Pantelopoulos, A., Soudris, D., De Zeeuw, C.I.; Strydis, C.;
    In Proceedings - International Conference on Embedded Computer Systems: Architectures, Modeling and Simulation, SAMOS 2014,
    pp. 367-374, 2014.
    document

  31. A dependable coarse-grain reconfigurable multicore array
    Smaragdos, G., Khan, D.A., Sourdis, I.; Strydis, C.; Malek, A., Tzilis, S.;
    In Proceedings of the International Parallel and Distributed Processing Symposium, IPDPS,
    pp. 141-150, 2014.
    document

  32. A probabilistic analysis of resilient reconfigurable designs
    Malek, A., Tzilis, S., Khan, D.A., Sourdis, I., Smaragdos, G.; Strydis, C.;
    In Proceedings - IEEE International Symposium on Defect and Fault Tolerance in VLSI Systems,
    pp. 141-146, 2014.
    document

  33. Peak misdetection in heart-beat-based security: Characterization and tolerance
    Seepers, R.M.; Strydis, C.; Peris-Lopez, P., Sourdis, I., De Zeeuw, C.I.;
    In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014,
    pp. 5401-5405, 2014.
    document

  34. Does enriched acoustic environment in humans abolish chronic tinnitus clinically and electrophysiologically? A double blind placebo controlled study
    Vanneste, S; van Dongen, M; De Vree, B; Hiseni, S; van der Velden, E; Strydis, C; Kathleen, J; Norena, A; Serdijn, W; De Ridder, D;
    Hearing Research,
    Oct. 23 2012. pii: S0378-5955(12)00244-4. doi: 10.1016/j.heares.2012.10.003.
    document

  35. Design and prototype development of a wearable neural stimulator system with flexible waveform adjustments
    Marijn van Dongen; Wouter Serdijn; Robert van Spyk; Christos Strydis; Georgi Gaydadjiev;
    In Book of Abstracts, 3rd Dutch Conference on Bio-Medical Engineering (BME),
    Egmond aan Zee, the Netherlands, Jan. 20-21 2011.

BibTeX support

Last updated: 27 Apr 2021