We are pleased to announce the implementation of the Career Panel event entitled
The speaker of the event will be Ms. Katerina Dimopoulou, Productivity & Competitiveness Lead for IBM, SO Europe.
The event will take place on Monday the 27th of October, 18:15-19:30, in Room no. 215.
The event is jointly organised by the Department of Computer Science and the Office of Student Affairs. Additionally, it takes place as part of the EUC Colloquium in Computer Science and Engineering.
The memristor is a new 2-terminal electronic element that complements the classic repertoire of fundamental circuit components consisting of the resistor, inductor and capacitor. Although it was theorised in 1971 by Leon Chua, it remained the object of theoretical interest until 2008 when Hewlett-Packard built, for the first time, novel nanoscale devices whose operation was explained as memristive. Memristors, or “memory-resistors” are nanoscale devices whose memristance depends on the amount of charge that has passed through them. These devices arecharacterised by extremely useful properties such as low-power consumption, intrinsic non-volatile memory, compatibility with CMOS technology and synapse-like behaviour. Thanks to these properties, they can improve the density and performance of current computer memory technologies by extending the life of CMOS, as well as, enabling hardware implementation of large-scale Artificial Neural Networks (ANN), just to name but a few of their potential applications. Due to their potential impact in these areas, memristive devices have attracted strong attention from the computer industry, with giants such as HP, IBM and Samsung investing heavily in these promising nano-scale devices.
The talk will begin with a brief tutorial on what is a memristor and how it behaves. Then it will present an overview of practical memristive devices and how they operate. Finally, we will discuss how the peculiar behaviour and unique properties of memristors can be exploited to improve existing applications or enable new ones.
Panayiotis S. Georgiou is an EPSRC Doctoral Prize Fellow at the department of Bioengineering of Imperial College London. He received his MEng in Information Systems Engineering in 2009 from the Department of Electrical and Electronic Engineering of Imperial College with his dissertation focusing on data clustering using Hamiltonian dynamics under the guidance of Prof Alessandro Astolfi. He then obtained a PhD in non-linear electronics and device modelling from Imperial College under the supervision of Prof Sophia Yaliraki (Chemistry), Prof Mauricio Barahona (Mathematics) and Dr Emmanuel Drakakis (Bioengineering). His thesis dealt with the development of a general mathematical framework for analysing the behaviour and properties of ideal memristors and improving the models of practical memristive devices. His main research interest include: development of the circuit theory for analysing memristors, bridging memristor theory with experiments, incorporating memristors in artificial neural networks for building adaptive/learning circuits. He is also working on the research and development of software for medical applications with Dr Anil Bharath. The medical software developed uses techniques for image registration, processing and 3D visualization for simulating the surgery of dental patients.