Georgios  Smaragdos
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Dr.Ir. Georgios Smaragdos

  • Position: PhD, Research Technician, Erasmus MC
  • Member of:


Georgios Smaragdos was born in Thessaloniki, Greece, on July 3rd 1983. After participating in the national examinations for a university admission, he was admitted to the Technical University of Crete (TUC), in Chania, in the department of Electronics & Computer Engineering (5 year Diploma). The title of his Diploma Thesis was ”Design Of Current Mode CMOS Integrated Filters ” and was concluded under the supervision of Matthias Bucher. He obtained his Master degree from Delft University of Technology in July 2012. His Master Thesis ( " An Adaptive Defect-Tolerant Multiprocessor Array Architecture ") was completed under the supervision of Yiannis Sourdis and Christos Strydis. On March 2024 he obtained his PhD degree with the thesis titled "BrainFrame: From FPGA to heterogeneous acceleration of brain simulations" in the Erasmus MC Neuroscience Department. He is currently a Research Technician and Systems Administrator at the Erasmus MC Neuroscience Dept.

Research Interests

  1. Reconfigurable hardware
  2. Computer Architecture
  3. High Performance Computing
  4. Scientific Computing
  5. Embedded Systems




in Neuroscience Department, Erasmus MC


Master of Science

in Computer Engineering Delft University of Technology


5 year Engineering Diploma

in Electronics Engineering Technical University of Crete

Honors & Awards


Best Paper Nomination



HPC Cross-Site Collaboration Grant



1. Synthesis-Free, Flexible and Fast Hardware Library for Biophysically Plausible Neurosimulations - POSTER

Rene Miedema, Georgios Smaragdos, Mario Negrello, Zaid Al-Ars, Matthias Möller, and Christos Strydis
in FPGA '20: The 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays 2020

2. flexHH: A Flexible Hardware Library for Hodgkin-Huxley-Based Neural Simulations

3. A novel simulator for extended Hodgkin-Huxley neural networks.

4. Multinode implementation of an extended Hodgkin-Huxley simulator.

5. Prototyping a Biologically Plausible Neuron Model on a Heterogeneous CPU-FPGA Board.

Kaleb Alfaro-Badilla, Alfonso Chacon-Rodriguez, Georgios Smaragdos, Christos Strydis, Andres Arroyo-Romero, Javier Espinoza-Gonzalez, Carlos Salazar-Garcia
in 2019 IEEE 10th Latin American Symposium on Circuits & Systems 2019

6. Exploring Complex Brain-Simulation Workloads on Multi-GPU Deployments

in ACM Transactions on Architecture and Code Optimization (TACO) 2019

7. GPU Implementation of Neural-Network Simulations based on Adaptive-Exponential Models

A. Neofytou, G. Chatzikostantis, I Magkanaris, G. Smaragdos, C. Strydis, D. Soudris
in IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE) 2019

8. Improving the Simulation of Biologically Accurate Neural Networks Using Data Flow HLS Transformations on Heterogeneous SoC-FPGA Platforms

K. Alfaro-Badilla, A. Arroyo-Romero, C. Salazar-García, L.G.L. Vega, J. Espinoza-González, F. Hernández- Castro, A. Chacón-Rodríguez, G. Smaragdos, C. Strydis
in CARLA 2019: High Performance Computing 2019

9. A Real-Time Reconfigurable Multichip Architecture for Large-Scale Biophysically Accurate Neuron Simulation.

Amir Zjajo, Jaco Hofmann, Gerrit Jan Christiaanse, Martijn F. van Eijk, Georgios Smaragdos, Christos Strydis, Alexander de Graaf, Carlo Galuzzi, Rene van Leuken
in IEEE Trans. Biomed. Circuits and Systems 2018

10. BrainFrame: a node-level heterogeneous accelerator platform for neuron simulations.

Smaragdos G, Chatzikonstantis G, Kukreja R, Sidiropoulos H, Rodopoulos D, Sourdis I, Al-Ars Z, Kachris C, Soudris D, De Zeeuw CI, Strydis C
in Journal of neural engineering 2017
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