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:
- The Bio-inspired Artificial Pancreas: This involves research into creating a fully closed-loop system using microelectronic technology which replicates the way the beta-cells of the pancreas work to automatically control blood glucose through continuous infusion of insulin. Support: The Wellcome Trust.
- Adaptive Decision Support Systems: Recognising that diabetes management is affected by many lifestyle related parameters such as exercise, stress and illness, my group is researching adaptive decision support systems using artificial intelligence techniques which utilise wearable technology to improve diabetes control. Support: EPSRC, Industry (Dexcom Ltd).
- More info: http://www.imperial.ac.uk/bio-inspired-technology/research/metabolic/
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.
- More Info: Wearable Muscle Fatigue Monitor
My Student Awards
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 ".
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".
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".
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".
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".
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".
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".
Toumaz Technologies, Toumaz Ltd
DNA Electronics Ltd
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 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