Imaging, Data and Communications

I lead a research group focused on developing and applying signal processing algorithms to biomedical data. Our main aim is to reveal the subtle changes that major diseases (e.g., Alzheimer's and epilepsy) cause in the brain activity and how this changes in different conditions and mental states.

In October 2013, I joined the Institute for Digital Communications, School of Engineering, as a Chancellor's Fellow in biomedical signal processing. I was tenured in August 2016 and promoted to Senior Lecturer in August 2020.

Previously, I held a post-doctoral position at the School of Computing and Mathematics of Plymouth University.

My training includes an MEng in telecommunications engineering from the University of Valladolid (Spain) in 2005 and a PhD in biomedical signal processing from the same university in 2010.

• 2010 - PhD in Telecommunications Engineering - University of Valladolid (Spain)
• 2005 - MEng in Telecommunications Engineering (First) - University of Valladolid (Spain)

• Senior Member of the IEEE
• Fellow of the Higher Education Academy

• Programme Director of the MSc in Signal Processing and Communications
• Course organiser of Image Processing
• Teacher in Engineering Software 3
• Tutor in Engineering Mathematics 2A
• Supervision of final year projects and MSc theses

• Biomedical signal processing
• Brain connectivity
• Graph theory
• Machine learning
• Nonlinear analysis

Dr. Serb is a reader in Unconventional AI Hardware Technologies at the University of Edinburgh.

He is a MIET and SMIEEE.

He has led a grant portfolio of ~£2M worth of projects, including a DSTL contract for studying the feasibility of adiabatic capacitive neural networks and the UKRI New Investigator Award "ANAGRAM".

He has further been a co-investigator in UKRI MINDS CDT.

He has supervised 20+ PhD students and 6× postdocs. His research interests span across circuit and system design and AI, with particular focus on emerging technologies such as memimpedance elements.

He has published 50+ journal articles and 50+ conference papers, and filed 5× patents.

Furthermore, he is co-founder and CTO of ArC instruments ltd., a company that manufactures instrumentation for memimpedance device characterisation and testing (https://www.arc-instruments.co.uk/).

PhD degree in EEE - Imperial college, London, 2014.

MEng degree in BioMedical engineering - Imperial college, London, 2009

MIET - Member of the IET

SMIEEE - Senior member of the IEEE

ELEE08015 - Digital System Design 2

PGEE11136 - Applications of Sensor and Imaging Systems (component module leader)