Themistoklis "Themis" Prodromakis, FRSC, FBCS, FInstP, FIET, CEng (Greek: Θεμιστοκλής Προδρομάκης, born 1 September 1981) is an electronic engineer.
He has been involved in developing emerging metal-oxide resistive random-access memory technologies[3] with applications in embedded electronics.
He showcased the use of memristor technologies in a variety of applications: on-node bio-signal processors[7] that compared to CMOS state-of-art achieve a 200 better compression efficiency and over 2-orders of magnitude power savings per channel; in-silico implementations of unsupervised learning,[8] empowering the handling of big-unlabelled-data efficiently and robustly; and a novel microelectronics design paradigm that fuses the analogue and digital worlds[9] and empowers energy efficient implementations of analogue reconfigurable gates.
He was also the first to demonstrate a bio-hybrid network[10] comprising real and artificial neurons[11] that was linked via memristor synapse emulators over the internet.
[15] He is a keen advocate for explaining his research to the public through outreach activities,[16] lectures and general interest articles.