Christos  Strydis
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Dr. Ir. Christos Strydis (C)

  • Position: PhD, Associate Professor, Erasmus Medical Center & Delft University of Technology
  • Lab Head in:

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.

Research Interests

  1. -- General --
  2. High-Performance Computing (HPC)
  3. Hardware acceleration
  4. Reconfigurable computing
  5. Cloud computing
  6. (Ultra-) Low-power design
  7. Hardware security
  8. Hardware fault tolerance
  9. -- Current --
  10. Brain simulations
  11. Next-generation neural implants
  12. Functional-Ultrasound (fUS) brain imaging

Education

2011

Doctor of Philosophy

in Computer Engineering, Delft University of Technology

2005

Master of Science

in Computer Engineering (Major) & Biomedical Engineering (Minor), Delft University of Technology

2003

Bachelor of Science

in Electronic & Computer Engineering, Technical University of Crete

Positions

2021

Associate Professor

in Erasmus Medical Center & Delft University of Technology

2016

Assistant Professor

in Erasmus Medical Center

2011

Chief Engineer

in Neurasmus BV

2011

Post-Doctoral Researcher

in Erasmus Medical Center

Publications

1. Four-dimensional computational ultrasound imaging of brain hemodynamics.

2. ExaFlexHH: an exascale-ready, flexible multi-FPGA library for biologically plausible brain simulations.

in Frontiers in neuroinformatics 2024

3. Tricking AI chips into simulating the human brain: A detailed performance analysis

Landsmeer L, Engelen M, Miedema R, Strydis C
in Neurocomputing 2024

4. SDK4ED: a platform for building energy efficient, dependable, and maintainable embedded software.

Miltiadis G. Siavvas, Dimitrios Tsoukalas, Charalambos Marantos, Lazaros Papadopoulos, Christos P. Lamprakos, Oliviu Matei, Christos Strydis, Muhammad Ali Siddiqi, Philippe Chrobocinski, Katarzyna Filus, Joanna Domanska, Paris Avgeriou, Apostolos Ampatzoglou, Dimitrios Soudris, Alexander Chatzigeorgiou, Erol Gelenbe, Dionisis D. Kehagias, Dimitrios Tzovaras
in Autom. Softw. Eng. 2024

5. A Lightweight Architecture for Real-Time Neuronal-Spike Classification.

Muhammad Ali Siddiqi, David Vrijenhoek, Lennart P. L. Landsmeer, Job van der Kleij, Anteneh Gebregiorgis, Vincenzo Romano, Rajendra Bishnoi, Said Hamdioui, Christos Strydis
in 2024

6. A Reconfigurable Architecture of a Scalable, Ultrafast, Ultrasound, Delay-and-Sum Beamformer.

Vasilis Kypriotis, Georgios Smaragdos, Pieter Kruizinga, Dimitrios Soudris, Christos Strydis
in 2024

7. Oikonomos: An Opportunistic, Deep-Learning, Resource-Recommendation System for Cloud HPC.

8. Oikonomos-II: A Reinforcement-Learning, Resource-Recommendation System for Cloud HPC.

9. Memristor-Based Lightweight Encryption.

Muhammad Ali Siddiqi, Jan Andrés Galvan Hernández, Anteneh Gebreziorgis, Rajendra Bishnoi, Christos Strydis, Said Hamdioui, Mottaqiallah Taouil
in 2023

10. Improving the Security of the IEEE 802.15.6 Standard for Medical BANs.

Muhammad Ali Siddiqi, Georg Hahn, Said Hamdioui, Wouter A. Serdijn, Christos Strydis
in IEEE Access 2022
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