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Themistoklis Prodromakis

Themistoklis Prodromakis

D-Index & Metrics

Engineering and Technology

D-Index
43
Citations
8436
World Ranking
6078
National Ranking
389

Overview

Themistoklis Prodromakis is affiliated with the University of Southampton in the United Kingdom. Their research spans multiple domains within engineering and neuroscience, focusing on fields such as electrical and electronic engineering, cellular and molecular neuroscience, and cognitive neuroscience.

Themistoklis Prodromakis has contributed extensively to several key topics including advanced memory and neural computing, neuroscience and neural engineering, ferroelectric and negative capacitance devices, CCD and CMOS imaging sensors, neural dynamics and brain function, semiconductor materials and devices, and photoreceptor and optogenetics research.

Among recent publications authored or co-authored by Themistoklis Prodromakis are:

  • Standards for the Characterization of Endurance in Resistive Switching Devices (2021, ACS Nano)
  • Low-power electronic technologies for harsh radiation environments (2021, Nature Electronics)
  • Poly(N-isopropylacrylamide) based thin microgel films for use in cell culture applications (2020, Scientific Reports)
  • Memristive synapses connect brain and silicon spiking neurons (2020, Scientific Reports)
  • Flexible Oxide Thin Film Transistors, Memristors, and Their Integration (2023, Advanced Functional Materials)

Themistoklis collaborates frequently with a group of co-authors who have contributed to many joint publications. Notable frequent co-authors include:

  • Alexantrou Serb
  • Spyros Stathopoulos
  • Shiwei Wang
  • Shady Agwa
  • Christos Papavassiliou

Themistoklis Prodromakis has published in a variety of scientific venues. Most frequent among these are:

  • arXiv (Cornell University)
  • Scientific Reports
  • IEEE Transactions on Circuits and Systems I Regular Papers
  • IEEE Transactions on Electron Devices
  • ePrints Soton (University of Southampton)

The body of work is centered primarily in the multidisciplinary interface of engineering and neuroscience, integrating device engineering approaches with neural system functionalities.

Best Publications

  • Integration of nanoscale memristor synapses in neuromorphic computing architectures

    Giacomo Indiveri;Bernabé Linares-Barranco;Robert A. Legenstein;George Deligeorgis

  • STDP and STDP variations with memristors for spiking neuromorphic learning systems.

    Teresa Serrano-Gotarredona;Timothée Masquelier;Themistoklis Prodromakis;Giacomo Indiveri

  • A Versatile Memristor Model With Nonlinear Dopant Kinetics

    Themistoklis Prodromakis;Boon Pin Peh;Christos Papavassiliou;Christofer Toumazou

  • Unsupervised learning in probabilistic neural networks with multi-state metal-oxide memristive synapses.

    Alexander Serb;Johannes Bill;Ali Khiat;Radu Berdan

  • Two centuries of memristors

    Themistoklis Prodromakis;Christofer Toumazou;Leon Chua

  • Multibit memory operation of metal-oxide bi-layer memristors

    Spyridon Stathopoulos;Ali Khiat;Maria Trapatseli;Simone Cortese

  • Engineering the Maxwell-Wagner polarization effect

    T. Prodromakis;C. Papavassiliou

  • Standards for the Characterization of Endurance in Resistive Switching Devices.

    Mario Lanza;Rainer Waser;Rainer Waser;Daniele Ielmini;J. Joshua Yang

  • The effect of microgrooved culture substrates on calcium cycling of cardiac myocytes derived from human induced pluripotent stem cells

    Christopher Rao;Themistoklis Prodromakis;Ljudmila Kolker;Ljudmila Kolker;Umar A.R. Chaudhry

  • Analog Memristive Synapse in Spiking Networks Implementing Unsupervised Learning.

    Erika Covi;Stefano Brivio;Alexander Serb;Themis Prodromakis

  • Real-time encoding and compression of neuronal spikes by metal-oxide memristors.

    Isha Gupta;Alexantrou Serb;Ali Khiat;Ralf Zeitler

  • Emulating short-term synaptic dynamics with memristive devices

    Radu Berdan;Eleni Vasilaki;Ali Khiat;Giacomo Indiveri

  • Memory Impedance in TiO2 based Metal-Insulator-Metal Devices

    Li Qingjiang;Ali Khiat;Iulia Salaoru;Christos Papavassiliou

  • A review on memristive devices and applications

    T. Prodromakis;C. Toumazou

  • Challenges hindering memristive neuromorphic hardware from going mainstream.

    Gina C. Adam;Ali Khiat;Themis Prodromakis

  • Low-power electronic technologies for harsh radiation environments

    Jeffrey Prinzie;Firman Mangasa Simanjuntak;Paul Leroux;Themis Prodromakis

  • A $\mu $ -Controller-Based System for Interfacing Selectorless RRAM Crossbar Arrays

    Radu Berdan;Alexander Serb;Ali Khiat;Anna Regoutz

  • Poly(N-isopropylacrylamide) based thin microgel films for use in cell culture applications

    Ilaria Sanzari;Elena Buratti;Ruomeng Huang;Camelia G. Tusan

  • Memristive synapses connect brain and silicon spiking neurons

    Alexantrou Serb;Andrea Corna;Richard George;Ali Khiat

  • A Data-Driven Verilog-A ReRAM Model

    Ioannis Messaris;Alexander Serb;Spyros Stathopoulos;Ali Khiat

  • An Extended CMOS ISFET Model Incorporating the Physical Design Geometry and the Effects on Performance and Offset Variation

    Yan Liu;P. Georgiou;T. Prodromakis;T. G. Constandinou

  • A Proposal for Hybrid Memristor-CMOS Spiking Neuromorphic Learning Systems

    T. Serrano-Gotarredona;T. Prodromakis;B. Linares-Barranco

  • Investigation of the Switching Mechanism in TiO2-Based RRAM: A Two-Dimensional EDX Approach

    Daniela Carta;Iulia Salaoru;Ali Khiat;Anna Regoutz

Frequent Co-Authors

C. Toumazou
C. Toumazou Imperial College London
Hywel Morgan
Hywel Morgan University of Southampton
Pantelis Georgiou
Pantelis Georgiou Imperial College London
Giacomo Indiveri
Giacomo Indiveri University of Zurich
Marco Fanciulli
Marco Fanciulli University of Milano-Bicocca
Magdi H. Yacoub
Magdi H. Yacoub Imperial College London
Adam P. Hitchcock
Adam P. Hitchcock McMaster University
Bernabé Linares-Barranco
Bernabé Linares-Barranco University of Seville
Ara Darzi
Ara Darzi Imperial College London
Leon O. Chua
Leon O. Chua University of California, Berkeley

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