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Profile summary

 
About me:
Currently, Dr. Singh is a Lecturer in Digital Health at the Center for Health Technology, Faculty of Health. His work sits at the intersection of healthcare technology, biomedical signal processing, and wearable device innovation, where he develops intelligent, next-generation wearable systems [Intelligent ECG Patch] for personalised, at-home patient monitoring. His research focuses on enabling early detection of health deterioration, reducing hospital admissions, and transforming the management of chronic conditions through scalable, data-driven wearable technologies. 
Dr. Singh holds extensive experience—over six years of teaching and research—across academic institutions in the UK and Ireland. He began as a postdoctoral Research Associate in medical device engineering at the University of Edinburgh’s Bradley Group (2019–2020), then served as a researcher at the Life Science Interface Research Group, Tyndall National Institute, from 2021 to 2023. He worked as a Senior Electronics Engineer at an industry design consultancy, contributing to the development of medical-grade ECG and NIBP systems using ADS1298 and STM32 in compliance with IEC60601 standards, including defibrillator protection design and communication protocol development. His research portfolio includes contributions to microneedle-based wearable sensors, electrophysiological monitoring, and machine learning applications in health data. 

Interested in Supervising MSc and PhD Students

His research focuses on the development of advanced wearable medical devices and digital health technologies to enable personalised, remote, and data-driven patient monitoring. This work integrates biomedical signal processing, embedded systems, and artificial intelligence to address key challenges in early diagnosis, disease prediction, and long-term condition management.

Potential research topics include, but are not limited to:

  • Wearable medical devices and smart sensing technologies
  • Biomedical signal processing (e.g., ECG, respiration, multimodal sensing)
  • Flexible, skin-conformal, and biocompatible sensors
  • Microneedle-based biosensing technologies
  • Artificial intelligence and machine learning for healthcare applications
  • Real-time physiological data acquisition and edge computing
  • Remote patient monitoring and at-home healthcare systems
  • Cardiovascular and respiratory health monitoring
  • Internet of Things (IoT) in healthcare
  • Early detection and prediction of disease progression

Prospective applicants with a strong interest in these areas are encouraged to make initial contact via email, including a CV and a brief statement of research interests

He has received multiple prestigious awards recognising his academic excellence and research contributions in biomedical engineering. He was honoured with the Best Student Award for research excellence at the 62nd Convocation Ceremony in April 2019. His innovations have earned international recognition, including Gold Awards at the Malaysia Technology Expo (MTE 2019, Kuala Lumpur) for the IoT-based cardiopulmonary monitoring device (iBREATHE), and at the Korea Creative Invention Contest (CiC 2017, Seoul) for a real-time human respiration CO₂ measurement device for asthma monitoring. Additionally, he received a Merit Award at the Asia Pacific Conference on Medical & Biological Engineering (2017, Penang) for developing a respiratory CO₂ measurement device for cardiorespiratory assessment. He was also awarded a Certificate of Merit for securing second rank during his Master’s degree at SRM University. Further recognition includes certificates of appreciation for prototype development at the International Research Conference & Innovation Exhibition 2016 at Universiti Kuala Lumpur and for research showcase participation at Universiti Teknologi Malaysia. 

Supervised research degrees

Supervised Students:

  • Undergraduate: 07
  • Postgraduate (Master’s): 02
  • Intern: (01)

Teaching interests

  1. Wearable Device
  2. Rapid wearable prototyping laboratory
  3. Bio-signal processing
  4. Biomedical Instrumentation - I, II
  5. Digital signal processing
  6. Modeling of Physiological Systems etc.

Additional information

 
Grants Contracts:
Dr Singh has received research funding from different sources, including:
  1. The Glider Project, Engineering and Physical Sciences Research Council (EPSRC).
  2. Developing a monitoring patch to predict heart failure in heart failure patients, RCF, University of Plymouth.
  3. Prototype Flexible Microneedle Electrodes for long-term ECG monitoring, BHF Translational Pump Priming Award Application. 

External Examiner of PhD Thesis and Viva

VIT University

NIT Jalandhar

Academic qualifications

Engineering and technology, Doctorate, Real Time Human Respiration Carbon Dioxide Measurement Device for Monitoring Asthma Severity : A Prototype Study, Universiti Teknologi Malaysia

13 Dec 201514 Mar 2019

Award Date: 14 Mar 2019

Engineering and technology, Other higher degree (e.g. Masters degree), “Design A USB Based ECG Portable System & Analysis the Cardiovascular Diseases, SRM University

1 Sept 200731 May 2009

Award Date: 31 May 2009

External positions

Senior Electronics Engineering, Industrial Design Consultancy Ltd

14 Sept 202425 Dec 2024

Researcher, University College Cork

3 Feb 202130 Aug 2023

Postodoc Research Associate in Medical Device Engineering, University of Edinburgh

4 Nov 201931 Dec 2020

Lecturer, Jimma University Ethiopia

4 Oct 201331 Jul 2015

Lecturer, Alwar Institute of Engineering and Technology Alwar

4 Jul 201030 Sept 2013

Lecturer, Rajiv Gandhi College of Engineering and Technology

10 May 200930 Jun 2010

Research Interests

  • Intelligent patch
  • microneedle sensor
  • wearable device
  • Biomedical Signal Processing
  • Embedded Systems
  • Digital Twin

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being
  2. SDG 4 - Quality Education
    SDG 4 Quality Education
  3. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure
  4. SDG 17 - Partnerships for the Goals
    SDG 17 Partnerships for the Goals

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