Professor Patryk Kot

Biography

Professor Patryk Kot is an internationally recognised expert in sensor technology, currently working as Senior Business Development Manager at the Infection Innovation Consortium (iiCON), Liverpool School of Tropical Medicine. In this capacity, he leads the advancement of innovative diagnostics for infectious diseases. His expertise informs the design of a Category 3 AI Robotic laboratory, facilitating the commercialisation of iiCON’s pioneering innovations and cultivating strategic partnerships to enhance market uptake. Additionally, he is leading the Infection Innovation Technology Laboratory (iiTECH) within iiCON.

 

Previously, Professor Kot was Deputy Director of the Built Environment and Sustainable Technologies (BEST) Research Institute and Professor of Microwave Sensor Technologies at Liverpool John Moores University (LJMU). Over a 12-year career, he has led interdisciplinary teams in developing specialised microwave sensors, securing over £25 million in external funding. His research spans biohazard detection (DASA), textile monitoring (DWFP), healthcare (UKRI), and cultural heritage preservation (Horizon 2020). Notable projects funded by the Bill & Melinda Gates Foundation include microwave spectroscopy for insecticide quality assurance in vector control initiatives and wearable diagnostics for lymphatic filariasis.

 

Professor Kot holds a PhD (2016) from LJMU in electromagnetic wave applications for moisture analysis in building materials, alongside an MSc in Microelectronic Systems Design, a BSc (Hons) in Computer Technology, and an MA in Academic Practice. His work bridges research and practical implementation, driving sensor technology advancements to address pressing global health challenges through innovation and knowledge exchange.

Research interests

Professor Kot’s research is focused on pioneering advancements in sensor technology, with a particular interest in healthcare applications. His work involves the development of innovative non-destructive testing sensors for detecting foreign substances and contaminants on various materials. A key aspect of his research is the creation of next-generation wearable sensors for continuous patient monitoring, integrating AI-driven predictive assessments to enhance early intervention strategies. Additionally, he is actively engaged in the development of in-situ sensors for water quality assessment. Professor Kot’s research is deeply rooted in human-centred clinical testing, ensuring usability through rigorous validation in real-world environments. His commitment to seamless healthcare integration drives the translation of these technologies into practical solutions, fostering interdisciplinary collaborations to push the boundaries of sensor innovation.

Teaching

Professor Kot is a dedicated educator who prior to joining LSTM, completed an MA in Academic Practice at LJMU and was nominated for an Amazing Teaching Award in 2017 by students, recognising his engaging and supportive teaching approach. As a Fellow of the Higher Education Academy, he has demonstrated excellence in pedagogy and student mentorship.

 

His teaching portfolio included modules at both undergraduate and postgraduate levels, covering a diverse range of subjects, namely research methodology, engineering mathematics, and materials science. He has led modules such as Level 7 Research Methodology, Level 7 and Level 6 Research Project. His contributions extend internationally through his involvement in the collaborative program with ICBT, Sri Lanka, where he has delivered the Level 6 Engineering Research Project. Additionally, he has taught fundamental engineering subjects such as Engineering Mathematics, Engineering Principles, Science Materials and Applied Mathematics at Level 4.

Selected research publications

Transforming architectural heritage documentation: developing integrated European recommendations for safeguarding and preservation – Journal: npj Heritage Science – Published: 1st December 2025

A machine learning approach for automated injuries classification on postmortem images – Journal: Journal of Forensic and Legal Medicine – Published: 1st October 2025

Novel Microwave Sensor for Quality Assurance of Indoor Residual Spraying – Journal: IEEE Sensors Journal – Published: 28th August 2025

Comparison of state-of-The-Art multi-view stereo solutions for close range heritage documentation – Published: 14th February 2024

Electrical characteristics and conductivity mechanism of self-sensing asphalt concrete – Journal: Construction and Building Materials – Published: 3rd February 2024

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