dr.ir. C. Strydis
Bioelectronics (BE), Department of Microelectronics
Expertise: High-performance computational-neuroscience applications, dependable computer architectures, low-power embedded systems and biomedical microelectronic implants
Themes: BiocomputingBiography
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
- NeuroDots: From Single-Target to Brain-Network Modulation: Why and What Is Needed?
Dirk de Ridder; Muhammad Ali Siddiqi; Justin Dauwels; Wouter A. Serdijn; Christos Strydis;
Neuromodulation,
April 16, 2024. DOI: https://doi.org/10.1016/j.neurom.2024.01.003
document - Improving the Security of the IEEE 802.15.6 Standard for Medical BANs
M.A. Siddiqi; G. Hahn; S. Hamdioui; W.A. Serdijn; C. Strydis;
IEEE Access,
Volume 10, pp. 62953-62975, 2022. DOI: 10.1109/ACCESS.2022.3181630
document - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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 - 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
Christos Strydis
- +31 10 70 43294
- C.Strydis@erasmusmc.nl
- Room: Ee1291a (Erasmus MC)
- Personal webpage
- List of publications
MSc students
MSc project proposals
- [2020] Body-coupled communication to enhance IMD security
- [2023] Porting of a spike-classification kernel on Memristor-based circuits for next-generation Brain-Machine Interfaces
- [2023] GPU acceleration of neural-interface processing for closed-loop brain stimulation
- [2023] Porting a neural-recording kernel on FPGA & Memristor-based circuits for next-generation Brain-Machine Interfaces
- [2023] Exploring the use of FPGAs & ASIPs in next-generation neural implants
- [2023] Memristor implementation of compressive-imaging algorithm for revolutionary brain imaging