Iosif-Angelos Fyrigos


Mr. Iosif-Angelos Fyrigos received his Diploma degree in Electrical and Computer Engineering (2017) from the Democritus University of Thrace (DUTh), Greece. Currently, he is pursuing his Ph.D. in the area of Emergent Computing with Memristors, under the supervision of Prof. Sirakoulis.

Academic Qualifications


Diploma in Electrical and Computer Engineering (D. Eng.), Master of Engineering (M. Eng)

Democritus University Of Thrace (DUTh)
October 2012 – September 2017

Publication List


Conference Proceedings

  1. I.-A. Fyrigos, V. Ntinas, G. Ch. Sirakoulis, A. Adamatzky, V. Erokhin, and A. Rubio, “Wave Computing with Passive memristive Networks,” accepted for presentation in International Symposium on Circuits and Systems 2019 (ISCAS 2019), Sapporo, Japan, May 26-29, 2019.
  2. P. Karakolis, P. Normand, P. Dimitrakis, V. Ntinas, I.-A. Fyrigos, I. Karafyllidis, and G. Ch. Sirakoulis, “Future and Emergent Materials and Devices for Resistive Switching,” in IEEE 13th Nanotechnology Materials and Devices Conference (IEEE NMDC 2018), pp. 1-5, Portland, Oregon, USA, 14-17 October, 2018. (Invited Talk).
  3. I.-A. Fyrigos, V. Ntinas, I. Karafyllidis, G. Ch. Sirakoulis, P. Karakolis, and P. Dimitrakis, “Early approach of Qubit state representation with Memristors,” in Advances in Neural Networks and Applications 2018 (ANNA 2018), pp. 1-5, St. St. Konstantin and Elena Resort, Bulgaria, 15-17 September 2018.
  4. R.-E. Karamani, I.-A. Fyrigos, V. Ntinas, I. Vourkas, G. Ch. Sirakoulis, “Game of Life in Memristor Cellular Automata Grid,” in 16th International Workshop on Cellular Nanoscale Networks and their Applications, (CNNA 2018), pp. 1-4, Budapest, Hungary, 2018.
  5. R.-E. Karamani, I.-A. Fyrigos, V. Ntinas, I. Vourkas, G. Ch. Sirakoulis, and A. Rubio, “Memristive Cellular Automata for Modeling of Epileptic Brain Activity,” in International Symposium on Circuits and Systems 2018 (ISCAS 2018), pp. 1-5, Florence, Italy, May 27-30, 2018.
Study, Design, And Development Of Electronic Circuits, Inspired By Nature, With Learning Capabilities, Using Circuit Elements With Memory (Memristors)
Supervisor: G. Ch. Sirakoulis
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