Imperial College London

Dr Pantelis Georgiou

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Reader in Biomedical Electronics
 
 
 
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Contact

 

+44 (0)20 7594 6326pantelis Website

 
 
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Location

 

902Electrical EngineeringSouth Kensington Campus

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Summary

 

Overview

My research focuses on the design of bio-inspired integrated micro-electronic technology for application in healthcare. It is underpinned by the following principal areas:

Bio-inspired design: This involves designing systems by taking inspiration from biology to replicate bio-inspired processing and decision-making to create more efficient medical devices.

Integrated Sensing Systems: This involves integrating sensing modalities within available CMOS technology allowing the design of lab-on-chip devices, which fully integrate chemical sensors, low-power instrumentation and processing algorithms which are completely scalable to multiplex millions of sensors.

Novel Medical devices: This involves utilising the knowledge of bio-inspired design, integrated sensing and microelectronic technology to make medical devices which address current challenges in healthcare.

Applying these, I am currently focusing on solving the following healthcare related challenges:

Management of Diabetes: Diabetes is described by the body’s inability to control blood glucose which is typically treated by insulin injection to lower blood glucose. However, the non-automated nature of control leads to severe complications such as blindness and heart disease and can be dangerous through inducing hypoglycaemia. Recognising the need for a treatment for diabetes through a fully automated system and the impact it will have, my group is working on:

Control of infection and antimicrobial resistance: Infection is a widespread problem both in UK hospitals and in developing countries. The current misuse of antibiotics is leading to antibiotic resistance, increasing healthcare-associated infections, costing the NHS over £1B/annum and representing a major cause of mortality. Strategies put forward by WHO include optimising ‘prudent’ antimicrobial use and improving infection control. Towards this, my group is working on:

  • Infection Technology: This involves research into creating rapid, highly sensitive and affordable Lab-on-chip diagnostics using CMOS integrated sensing technology. These will genotype bacterial strains in addition to detecting viral infections at the point of care, leading to rapid response for infection control. Currently we are working with developing countries (Brazil, South Africa, Thailand, Vietnam) to create platforms for detection of Zika, Dengue, TB, Malaria and Chikungunya. Support: NIH, EPSRC.
  • Decision support systems for Antibiotic prescribing: This involves the use of artificial intelligence for clinical decision support in antimicrobial prescribing. This is to optimise prudent antimicrobial prescribing, using software-based systems within hospitals. Support: NIHR, EPSRC.
  • More info: http://www.imperial.ac.uk/bio-inspired-technology/research/infection-technology/

Management of chronic conditions using wearables: Utilisation of wearable technology for continuous monitoring of physiological parameters can lead to improvements in chronic conditions in addition to providing predictive factors for onsets of conditions and alarms. There are several technological challenges however which need to be addressed which include integration, power consumption, data transmission and accuracy in measurement. Towards this, my group is researching fully integrated wearables using CMOS technology for Osteoarthritis, muscle fatigue monitoring and metabolite monitoring through skin and sweat. Support: EPSRC.

mygroup


Funding

My Student Awards

show research

2013

Mr Priyank Hirani, MSc - Awarded the EEE Prize for Outstanding Achievement in Analogue and Digital IC design, Project "A Low Power Multi-channel Glucose Sensing System ".

Miss Jean Weatherwax, MSc - Awarded the Hertha Ayrton Centenary Prize for best MSc project with significant original contibution, Project "A Self-Calibrating Sensing Array for Continuous Glucose Monitoring in Diabetes ".

2014

Mr Nicholaos Miscourides - Awarded the Sir Bruce White Prize in Electrical Engineering for the best final year Project, Project "Semiconductor Genetic Sequencing Using Ion-Sensitive Field Effect Transistors".

Mr Connel Hepburn - Awarded the Nujira Prize for outstanding achievement in analogue electronics, Project "Wireless control of blood glucose for diabetes in the clinical ward".

Jean Priyank

 

2015

Mr Nicolas Moser MSc - Awarded the EEE Prize for Outstanding Achievement in Analogue and Digital IC design and Awarded the Hertha Ayrton Centenary Prize for best MSc project with significant original contibution, Project "An ISFET based DNA sequencing system with pixel compensation".

nicolas

Mr Jack Heaffey MEng - Awarded the EEE prize for the best MEng project entitled "A Wearable Device for Muscle Fatigue Detection in Rehabilitation of Athletes."

Mr Yaoxing Hu MEng -  Awarded the Eric Laithwaite Prize for the most innvovative final year project entitled "Self-calibrating Multi-channel Continous Glucose Monitoring System".

Jaclkheaffey

2016

Mr Guenole Lallement MSc - Awarded the Hertha Ayrton Centenary Prize for best MSc project with significant original contibution, Project "Bio-inspired pH sensing using Ion Sensitive Field Effect Transistors".

2017

Mr Ahmad Moniri - Awarded the Governors' MEng Prize in Electrical & Electronic Engineering for outstanding contribution, Project "Novel Algorithms and Models for Sensing DNA through ISFET arrays".

Ahmad Moniri award

2019

Mr Prateek Tripathi, MSc - Awarded the prize for Outstanding Achievement in the Analogue and Digital Integrated Circuit Design Master of Science, Project "A Brain-inspired ISFET Array".

Mr Taiyu Zhu, MSc - Awarded the prize for Outstanding Achievement in the Communications and Signal Processing Master of Science, Project "A smartphone-based platform integrating AI for adaptive glucose prediction".

Collaborators

Dexcom, Dexcom

Toumaz Technologies, Toumaz Ltd

DNA Electronics Ltd

Guest Lectures

Bio-inspired AI is revolutionising healthcare, The Economist - The Artificially Intelligent Healthcare Sector, Athens, Greece, 2019

Microchip Technology enabling rapid diagnostics for infectious diseases, Imperial College London, All You Can Innovate 2019, Imperial College London, 2019

Bio-inspired microelectronics for improving human health, IEEE International Symposium on Medical Measurements and Applications 2018, Rome, Italy, 2018

Microelectronics for Infectious Diseases using Ion-Sensitive Field Effect Transistors, University of Manchester, Manchester, UK, 2018

Microelectronics for Infectious Diseases using Ion-Sensitive Field Effect Transistors, SMART NUS Singapore, Singapore, 2018

CMOS microelectronics for DNA detection in Infectious Diseases, NTU, Singapore, Singapore, 2018

The bio-inspired artificial pancreas for treatment of diabetes in the home, ARM, ARM, Cambridge, 2018

Microchip diagnostics for malaria species and resistance detection, UK Parliament, UK Parliament, Westminster, 2018

CMOS Microelectronics for DNA detection using Ion-Sensitive Field Effect Transistors, Department of Electronic Engineering, University of York, York, 2018

The bio-inspired artificial pancreas for treatment of diabetes in the home, New York University, Abu Dhabi, Abu Dhabi, 2017

CMOS Microelectronics for DNA detection using Ion-Sensitive Field Effect Transistors, Department of Electrical Engineering, University of Cape Town, University of Cape Town, Rondebosch, South Africa, 2017

The bio-inspired artificial pancreas for treatment of diabetes in the home, 2017 Sensors in Medicine Conference, London, 2017

Microchip diagnostics for malaria speciesand resistance detection, Imperial College, Networks of Excellence in Malaria Launch, 2017

CMOS Microelectronics for DNA detection using Ion-Sensitive Field Effect Transistors, IEEE Distinguished Lecturer Talk, Taiwan, 2017 VLSI/CAD Conference, Kenting, TaiwanNTU, TaipeiNTHU, HsinchuNCKU, Tainan, 2017

Microchip Technology Enabling Rapid Diagnostics for Infectious Disease, Imperial AHSC, Royal Brompton Hospital, 2017

Keynote: Bio-inspired Microchips for Improving Human Health, IEEE NEWCAS conference 2017, Strasbourg, France, 2017

The Bio-inspired Artificial Pancreas for treatment of diabetes in the home, DATE 2017 Conference, EPFL, Lausanne, Switzerland, 2017

CMOS Design for DNA detection using Ion-­‐Sensitive Field Effect Transistors, IEEE Sensors Summer School, EPFL, Lausanne, Switzerland, 2016

A Bio-inspired Artificial Pancreas for treatment of diabetes, University of Toronto, Toronto, Canada, 2016

A Bio-inspired Artificial Pancreas for treatment of diabetes, Imperial Medtech on wearables, behaviour and data, Imperial College London, UK, 2016

Microchip diagnostics for AMR, University of York, York, UK, 2015

Engineering, Physical, Natural Sciences and Medicine Bridging Research in Antimicrobial resistance: Collaboration and Exchange, University of Southampton, Southampton, UK, 2015

Diabetes treated by a microchip!, The Institution of Engineering and Technology - The IET, Portsmouth, 2015

Bio-inspired Semiconductors for Healthcare, IEEE UK and Ireland Section public keynote talk, 2014

Implanted circuitry inspired by human engineering, Institute of Physics, London, 2014

Bio-inspired Semiconductors in Healthcare, Institute of Physics, University of Kent, 2014

The bio-inspired artificial pancreas for treatment of diabetes., Westminster School, Westminster SchoolThe Robert Hooke Science Centre7 - 9 Dean Bradley StreetLondon SW1P 3EP, 2012

Research Staff

Daniels,J

El-Sharkawy,M

Ghoreishizadeh,S

Herrero,P

Li,K

Ling-Shan,Y

Pesl,P

Rodriguez Manzano,J

Research Student Supervision

Douthwaite,M, Using CMOS Lab-on-a-chip Technology to Monitor Physiology through Remote, Continuous and Unobtrusive Analysis of Perspiration

Hernandez,B, A CBR platform for efficient antibiotic prescribing

Hu,Y, Massively parallel intelligent ISFET sensor arrays for lab-on-chip

Koutsos,E, A low-power real-time sEMG fatigue monitoring ASIC for rehabilitation of Osteoarthritis

Miscourides,N, Current mode ISFET arrays

Moser,N, Distributed ISFET processing arrays

Panteli,C, Nanoneedles for Biomedical Interfacing

Pesl,P, Case-based Reasoning Platform for Optimal Insulin Dosing in Diabetic Subjects

Rawson,T, Enhancing approaches to antimicrobial stewardship

Sharkawy,ME, A Low Power Potentiostat and Sensor Fault Detection System for Continuous Glucose Sensors