Biography

Timothy Constandinou originally trained in Electronic Engineering at Imperial College London. He is currently Deputy Director of the Centre for Bio-Inspired Technology and leads the Next Generation Neural Interfaces (NGNI) lab. His group utilises integrated circuit and microsystem technologies to create new research tools for neuroscience and neuroprosthetic devices. He has projects on brain machine interfaces, epilepsy, sleep, as well as tackling fundamental challenges in electronic and implantable technology. Within IEEE he serves on the CAS Society Board of Governors, BRAIN Initiative Steering Committee and BioCAS/Sensory Systems Technical Committees. He co-chairs the Royal Society emerging technologies group in Neural Interface Ecosystems.

Research

The key overarching aim is to utilise the capability of (currently) mainstream CMOS microelectronics to enable efficient and effective ReRAM/CMOS integration. This technology platform will then provide new opportunities for integrated circuit design by exploiting the inclusion of new nano-scale memory primitives. Our research here is firstly supporting the technology integration through customisation of electronic design automation (EDA) CAD to include ReRAM capability within design tools (e.g. modelling, schematic entry, simulation, layout design, physical verification). These will then be used to design basic building blocks that contain ReRAM devices (e.g. memory elements, read/write instrumentation, readout circuits) in addition to macros and tools for generating memory arrays. The availability of an end-to-end design methodology will then allow us to exploit the technology for new circuits and applications. From a circuit perspective we will investigate continuous-time discrete value processing based on oscillator structures or level-crossing converters. This allows “analogue” processing with high dynamic range in a highly integrated manner. From an applications perspective, our work will target two specific areas: novel research tools for neuroscience, and active implantable medical device. Here, the availability of “above circuit”, back-end integrated ReRAM will enable hybrid/distributed processing/memory architectures, providing an order of magnitude improvement in both power consumption and integration density.

Biography

Research

Biography

Andrea received his B.Eng. in Electrical and Electronic Engineering in 2016 at the University of Malta, with a particular focus on embedded systems. He furthered his studies with an MSc in Analogue and Digital Integrated Circuit Design at Imperial College London, developing a data and power delivery system for wired implantable devices, as part of his thesis. Andrea then joined Science and Technology Facilities Council (STFC) as a CMOS Sensor Design Engineer within the CMOS Sensor Design group. As of August 2020, he joined the Next Generation Neural Interfaces (NGNI) lab and the Centre for Bio-Inspired Technology (CBIT) at Imperial College London.

Research Interests

His work focused on the design and testing of CMOS image sensors including both pixel and periphery circuit design. 

Biography

Peilong Feng is a postdoctoral researcher in Next Generation Neural Interfaces Lab at Imperial College London, London, UK. He received his BEng degree from the Henan Polytechnic University, China, in 2011, and his first MSc degree with distinction from the University of Southampton, UK, in 2012. Then he obtained his second MSc degree with distinction in 2015 and his PhD degree in 2020 from Imperial College London, London, UK.

Research

His research interests include RFIC for wireless power transfer and data communication and biomedical embedded system design

Jiawei Shen received his MSc Analogue and Digital Integrated Circuit Design from Imperial College London in 2018 and BEng. Electronic Engineering from the University of Nottingham. Jiawei joined Circuits and Systems (CAS) research group in 2019 as research assistant and part-time PhD.

Research

The primary researches of Jiawei are the analogue and RF circuits that utilises memristors.

Biography

Chaohan received his MSc Analogue and Digital Integrated Circuit Design from Imperial College London in 2019 and BEng. Electrical Engineering from the McGill University, Canada, in 2017. Chaohan joined Circuits and Systems (CAS) research group in 2020 as a full-time PhD.

Research Interests

The primary researches of Chaohan are the Multi-bit Memory based on memristor crossbar array.

Zhaoguang Si received his Msc Analogue and Digital Integrated Circuit Design from Imperial College London in 2021 and BEng. Electrical and Electronic Engineering (Electronics) from University of Liverpool in 2020. Zhaoguang joined Circuits and Systems (CAS) research group in 2022 as a full-time PhD candidate. 

Research Interests  Analogue applications of the memristor, conventional and memristor-assisted data converters. 

Abdulaziz Alshaya received his B.S degree in Electrical Engineering from Qassim University, Qassim, Saudi Arabia in 2010, and M.S. degrees in Electrical Engineering from Loyola Marymount University, United States, in 2014. He is a senior researcher at King Abdulaziz City for Science and Technology(KACST), Saudi Arabia, from 2014-present. He is now a PhD candidate at Imperial College London. Abdulaziz joined Circuits and Systems (CAS) research group in 2020 as a full-time PhD student.

Research Interests: Analogue and mixed-signal integrated circuits involving memristos for neurotrophic computing and memory application.