Zoomposium 8: 24 September 2020

Published: 24 September 2020

Dr JOSE CANO REYES: 'Moving Deep Learning to the Edge' Dr NICOLA BELL: 'Chemical Recycling of Plastics by Catalytic Depolymerisation' Dr VIHAR GEORGIEV: 'Device Modelling Group: know-how and capabilities'

Watch Zoomposia 8 (password: .2iMC*mE)


Dr Jose Cano Reyes, School of Computing Science
'Moving Deep Learning to the Edge'

My research interests are in the broad areas of Computer Architecture, Computer Systems, Compilers, Interconnection Networks and Machine Learning. My current research is focused on: i) hardware/software co-designed approaches to efficiently deploy Deep Learning applications on mobile/embedded edge devices (e.g. Internet-of-Things boards, phones, drones, mobile robots, satellites, etc); ii) design, optimization and evaluation of Networks-on-Chip (NoCs) for emerging processors/accelerators. I'm interested in collaborations where it is required/important to optimise the computation of Artificial Intelligence and/or Machine Learning applications, especially on devices at the edge of the Internet.


Dr Nicola Bell, School of Chemistry
'Chemical Recycling of Plastics by Catalytic Depolymerisation'

I have a PhD in catalyst design and postdoctoral experience with rare-earth elements and uranium. In my independent career I will combine this expertise to develop novel catalysts with underexploited metals and plan to apply these to plastic recycling. Current methods to recycle the most ubiquitous plastics (e.g.polystyrene) are polluting and inefficient. Closed-loop recycling is challenging because the chemical tools to cleave the polymer chains don’t exist. I plan to use air and light energy to break down the polymer into feedstock chemicals, thereby creating a green route for universal plastic recycling. I am currently applying for fellowships and am interested in potential collaboration opportunities at Glasgow with anyone who is interested in plastic recycling or in lanthanide or actinides more generally.


Dr Vihar Georgiev, James Watt School of Engineering 
'Device Modelling Group: know-how and capabilities'

Dr Vihar Georgiev is a Senior Lecturer in the James Watt School of Engineering. Together with Prof. Asen Asenov, he leads the Device Modelling Group that has more than 30 years of experience in simulating and modelling novel electronic devices, such as transistors and memories. This talk will provide an overview of the current activities and projects in the group, such as: (i) in-house software development, (ii) resistive memory simulations, (iii) nano-biosensor modelling, (iv) molecular memories and (v) simulation of defects in materials.

He is very keen to engage with people who have complementary expertise in the following areas: organic & inorganic chemistry, material characterisation & growth, device fabrication & measurements, biomedical engineering, software development & machine learning.

First published: 24 September 2020