Christos Strydis

1. 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

2. 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

3. 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

4. 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

5. 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

6. 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

7. 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

8. 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

9. 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

10. 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

11. 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

12. 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

13. 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

14. 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

15. 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

16. 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

17. 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

18. 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

19. 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

20. 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

21. 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

22. 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

23. 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

24. 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

25. 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

26. 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

27. 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.

28. 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

29. 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

30. 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

31. 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

32. 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

33. 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

34. 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

35. 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

36. 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

37. 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.

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