Â鶹´«Ã½Ó³»­

Ìý

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.Ìý

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.Ìý

Ìý

Dr. Om welcomes enquiries from highly motivated UK and international students seeking to undertake MSc (by research) or PhD studies. Applicants should have a strong background in biomedical engineering, electronic engineering, computer science, or related allied health disciplines.

Ìý

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)
• 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
• Flexible, skin-conformal, and biocompatible sensors
• Microneedle-based biosensing technologies
• Internet of Things (IoT) in healthcare
• Early detection and prediction of disease progression
• Clinical validation and translational medical device development
• Digital health innovation and commercialisation

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 theÌýBest Student AwardÌýfor research excellence at the 62nd Convocation Ceremony in April 2019. His innovations have earned international recognition, includingÌýGold AwardsÌýat theÌýMalaysia Technology ExpoÌý(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 COâ‚‚ measurement device for asthma monitoring. Additionally, he received aÌýMerit AwardÌýat theÌýAsia Pacific ConferenceÌýon Medical & Biological Engineering (2017, Penang) for developing a respiratory COâ‚‚ measurement device for cardiorespiratory assessment. He was also awarded aÌýCertificate of MeritÌýfor securingÌýsecond rankÌýduring his Master’s degree at SRM University. Further recognition includesÌýcertificates 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.Ìý