Imperial College London

Professor Themis Prodromakis

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Honorary Research Fellow



+44 (0)20 7594 0840t.prodromakis Website




B422Bessemer BuildingSouth Kensington Campus





Themis is leading a 20-people strong interdisciplinary team comprising expertise that ranges from nanomaterials characterisation to electron devices, circuits and systems and biomedical devices. The Prodromakis group is developing ultrahigh density resistive memory chips based on transition metal-oxides. These memristor chips are employed both as next generation data storage and neuromorphic computing (collaboration with THALES and VENNEOS). The team is also developing next-generation neural interfaces that enable linking biological functions to electronics and biomimetic cell-culturing platforms manipulating the position and morphology of cardiac cells in vitro (collaboration with GlaxoSmithKline – GSK). We are also developing low-cost point-of-care diagnostics by exploiting PCB manufacturing techniques. This project is in collaboration Newbury Electronics, a leading manufacturer of PCBs in the UK, and Imperial College Healthcare NHS, who currently carry out the clinical trials for TB diagnosis. Work in the Prodromakis team has led into a start-up company, ArC Instruments Ltd, that delivers high performance testing platforms for characterising ‘en masse’ novel technologies in a fast and automated fashion.

For a full list of activities please visit: 


Prof. Leon Chua, EECS UC Berkeley, US, 2010

Prof. Chris Toumazou, Centre for Bio-inspired Technology, Imperial College London

Dr G. Konstantinidis, Institute of Electronic Structure and Laser, FORTH, Greece

Dr. Eleni Vasilaki, Computer Science Department, University of Sheffield

Dr Cesare M Terracciano, National Heart & Lung Institute, Imperial College London

Prof. Tamas Roska, Faculty of Information Technology, Pázmány P. Catholic University, Hungary

Dr T. Zoumpoulidis, Delft Institute of Microsystems and Nanoelectronics, TU-DELFT

Research Staff



Research Student Supervision

Berdan,R, Application of Memristors in Conventional Analogue Circuits

Gelencser,A, Retinomorphic pattern recognition with memristive networks

Rao,C, Electrophysiological properties of cardiac myocytes derived from pluripotent stem cells

Trantidou,T, Micro-engineered platforms for growing, controlling and monitoring cells in-vitro