Dr María Encarnación (Encarna) Micó-Amigo
Role: Assistant Professor in Biomedical Engineering (Principal Investigator, SUPERLab)
Dr Micó-Amigo, with over 12 years of academic and industrial experience, leads since 2023 the Sensors for Ubiquity and Physiological Engineering Research Lab (SUPERLab). She brings extensive expertise in biomechanics and digital health, gained through her industrial PhD (competitively funded by the Marie Curie FP7 Actions: Moving Beyond ) and her role as Research Associate in the €50-million project Mobilise-D, where she developed signal-processing-based algorithms to study neurological conditions.
Her research explores how wearable and sensor-based technologies can be applied to monitor health and mobility in real-world settings. Through interdisciplinary collaboration, Dr Micó-Amigo and her team aim to design inclusive digital health solutions that address unmet clinical needs and improve wellbeing across diverse communities.
Links:
LinkedIn
Google Scholar
PURE profile
Dr Micó-Amigo, with over 12 years of academic and industrial experience, leads since 2023 the Sensors for Ubiquity and Physiological Engineering Research Lab (SUPERLab). She brings extensive expertise in biomechanics and digital health, gained through her industrial PhD (competitively funded by the Marie Curie FP7 Actions: Moving Beyond ) and her role as Research Associate in the €50-million project Mobilise-D, where she developed signal-processing-based algorithms to study neurological conditions.
Her research explores how wearable and sensor-based technologies can be applied to monitor health and mobility in real-world settings. Through interdisciplinary collaboration, Dr Micó-Amigo and her team aim to design inclusive digital health solutions that address unmet clinical needs and improve wellbeing across diverse communities.
Links:
Google Scholar
PURE profile
Dr Marcus Dunn
Role: Assistant Professor – School of Energy, Geoscience, Infrastructure and Society
Dr Dunn’s research integrates biomechanics and engineering to develop measurement technologies for real-world sport and health applications. His work spans sport performance and movement health, translating lab-based analysis into practical, field-ready tools.
He has collaborated with international organisations such as FIFA, the ITF, and Adidas, influencing global standards for wearable technologies. Recognised as a future academic leader by Innovate UK, his research bridges academia and industry to advance human-movement understanding. He currently serves as PGR Lead for Sport and Programme Director for the MSc by Research in Sport, Exercise and Health Sciences.
Links:
LinkedIn
Google Scholar
PURE profile
Dr Dunn’s research integrates biomechanics and engineering to develop measurement technologies for real-world sport and health applications. His work spans sport performance and movement health, translating lab-based analysis into practical, field-ready tools.
He has collaborated with international organisations such as FIFA, the ITF, and Adidas, influencing global standards for wearable technologies. Recognised as a future academic leader by Innovate UK, his research bridges academia and industry to advance human-movement understanding. He currently serves as PGR Lead for Sport and Programme Director for the MSc by Research in Sport, Exercise and Health Sciences.
Links:
Google Scholar
PURE profile
Mustafa Ahmed
Role: Research Assistant, Digital Health and Wearable Technology
Mustafa is a Research Assistant working within the Heriot-Watt EPSRC Impact Acceleration Award project on real-world monitoring of prosthetics and mobility. His expertise spans wearable technology, artificial intelligence for activity classification, and mobile application design, with a particular focus on developing real-time, user-friendly health monitoring systems.
He brings extensive experience in bridging engineering innovation with clinical application, contributing to both technical development and translational impact in healthcare research.
Links:
LinkedIn
Google Scholar
Mustafa is a Research Assistant working within the Heriot-Watt EPSRC Impact Acceleration Award project on real-world monitoring of prosthetics and mobility. His expertise spans wearable technology, artificial intelligence for activity classification, and mobile application design, with a particular focus on developing real-time, user-friendly health monitoring systems.
He brings extensive experience in bridging engineering innovation with clinical application, contributing to both technical development and translational impact in healthcare research.
Links:
Google Scholar
Sophia Otálora González
Role: Postgraduate Research Student – School of Engineering and Physical Sciences
Sophia’s doctoral research focuses on the application of wearable and digital technologies in neurological disorders. She brings expertise in biomechanics, rehabilitation science, and patient engagement, aiming to develop solutions that are both scientifically rigorous and practically meaningful.
Sophia was awarded the best 1st-year PhD Prize within IMPEE for her poster presentation on PGR Day.
Links:
LinkedIn
Google Scholar
Sophia’s doctoral research focuses on the application of wearable and digital technologies in neurological disorders. She brings expertise in biomechanics, rehabilitation science, and patient engagement, aiming to develop solutions that are both scientifically rigorous and practically meaningful.
Sophia was awarded the best 1st-year PhD Prize within IMPEE for her poster presentation on PGR Day.
Links:
Google Scholar
Alecia Esson
Role: Postgraduate Research Student – School of Engineering and Physical Sciences
Alecia is part of the Doctoral Landscape Programme, funded by the Institute of Mechanical, Process and Energy Engineering at Heriot-Watt University. Her research investigates the role of wearable sensing and artificial intelligence in maternal health, particularly in the early detection and management of pre-eclampsia.
With a background in health sciences and digital health innovation, Alecia’s work combines advanced analytics with a strong emphasis on real-world applicability and patient involvement.
Links:
LinkedIn
NxStep
Alecia is part of the Doctoral Landscape Programme, funded by the Institute of Mechanical, Process and Energy Engineering at Heriot-Watt University. Her research investigates the role of wearable sensing and artificial intelligence in maternal health, particularly in the early detection and management of pre-eclampsia.
With a background in health sciences and digital health innovation, Alecia’s work combines advanced analytics with a strong emphasis on real-world applicability and patient involvement.
Links:
NxStep
Jade Samping
Role: Postgraduate Research Student – School of Energy, Geoscience, Infrastructure and Society
Jade’s research explores the role of nonlinear movement analysis in understanding rehabilitation and return-to-sport readiness in female athletes following anterior cruciate ligament (ACL) injury. Her work focuses on developing objective markers of recovery that can better inform clinical decisions and support safer return-to-play pathways.
Links:
LinkedIn
Jade’s research explores the role of nonlinear movement analysis in understanding rehabilitation and return-to-sport readiness in female athletes following anterior cruciate ligament (ACL) injury. Her work focuses on developing objective markers of recovery that can better inform clinical decisions and support safer return-to-play pathways.
Links:
YIN-JU “Megan” Chen
Role: Postgraduate Research Student – School of Energy, Geoscience, Infrastructure and Society
Megan is a PhD student in Sport and Exercise Science, supervised by Dr Marcus Dunn, Dr Encarna Micó-Amigo, and Dr Jon Wheat. Her research focuses on applying nonlinear movement analysis to understand overreaching and overtraining in female athletes.
By combining advanced analytics with practical sport science, her work aims to improve monitoring of training load and support healthier, more sustainable performance in high-level sport.
Megan is a PhD student in Sport and Exercise Science, supervised by Dr Marcus Dunn, Dr Encarna Micó-Amigo, and Dr Jon Wheat. Her research focuses on applying nonlinear movement analysis to understand overreaching and overtraining in female athletes.
By combining advanced analytics with practical sport science, her work aims to improve monitoring of training load and support healthier, more sustainable performance in high-level sport.