Electronics Materials, Circuits & Systems Research Unit (EMaCS)

Organisation profile

The Electronics Materials, Circuits & Systems Research Unit (EMaCS) is home to electronic and electrical engineering researchers investigating sensors, power electronics, and higher-level electronics applications. We aim to promote interdisciplinary research and provide a hub to support the Department of Electronic & Electrical Engineering's applied research.

Matthew Cole
- M.T.Colebath.acuk
- Department of Electronic & Electrical Engineering - Senior Lecturer
- Electronics Materials, Circuits & Systems Research Unit (EMaCS)
- Centre for Integrated Materials, Processes & Structures (IMPS) - Co-Director
Person: Research & Teaching, Core staff
Adrian Evans
- A.N.Evansbath.acuk
- Department of Electronic & Electrical Engineering - Deputy Head of Department
- Electronics Materials, Circuits & Systems Research Unit (EMaCS)
- The Foundry: Centre for Digital, Manufacturing & Design
Person: Research & Teaching, Core staff
Martin Fullekrug
- M.Fullekrugbath.acuk
Person: Research & Teaching, Core staff

2 Active
20 Finished

CrackVision: An AI-Driven Approach to Monitoring Wall Condition and Damage Severity
Martinez Hernandez, U. (PI), Jimenez Rios, A. (CoPI), Tronco Jurado, U. (CoPI) & Vial, M. (Researcher)
1/06/26 → 31/07/26
Project: Research-related funding
Low Frequency Radio Array on Marion Island and at the South African National Antarctic Expedition (SANAE)
Fullekrug, M. (PI) & Kosch , M. (CoI)
1/09/24 → 31/07/26
Project: Research-related funding
CSC: Lightning and Climate in China
Fullekrug, M. (CoI) & Xu , M. (PI)
1/10/24 → 30/09/25
Project: Research-related funding

AI-Powered Vision Sensing System for Real-Time Inspection of Particles in Intravenous Bags Through Multiobject Detection-Tracking Configurations
Jurado, U. T. & Martinez-Hernandez, U., 31 May 2026, In: IEEE Sensors Letters. 10, 5, 6004104.
Research output: Contribution to journal › Article › peer-review

Open Access
AI-Powered Vision Sensing System for Real-Time Inspection of Particles in Intravenous Bags Through Multi-Object Detection-Tracking Configurations
Tronco Jurado, U. & Martinez Hernandez, U., 18 Mar 2026, (Acceptance date) In: IEEE Sensors Letters. 4 p.
Research output: Contribution to journal › Article › peer-review
An intelligent data-driven flow regime recognition method for horizontal air-water two-phase flow
Wang, M., Li, R., Shi, Y., Yang, Z. & Soleimani, M., 31 Mar 2026, In: Flow Measurement and Instrumentation. 108, 103195.
Research output: Contribution to journal › Article › peer-review

Open Access
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35 Downloads (Pure)

Figures for publication 'The origin of the Poynting flux associated with transient luminous events'
Kosch, M. (Creator), Fullekrug, M. (Creator), Mashao, D. (Creator), Bai, X. (Creator) & Macotela Cruz, L. (Creator), University of Bath, 26 Nov 2025
DOI: 10.15125/BATH-01621
Dataset
Dataset for "Optical properties and resonant cavity modes in axial InGaN/GaN nanotube microcavities"
Coulon, P.-M. (Creator), Pugh, J. (Creator), Athanasiou, M. (Creator), Kusch, G. (Creator), Le Boulbar, E. (Creator), Sarua, A. (Contributor), Smith, R. (Contributor), Martin, R. (Contributor), Wang, T. (Contributor), Cryan, M. (Contributor), Allsopp, D. (Contributor) & Shields, P. (Project Leader), University of Bath, 2017
DOI: 10.15125/BATH-00414
Dataset
Dataset for "Understanding the resolution limit of Displacement Talbot Lithography"
Chausse, P. (Creator), Le Boulbar, E. (Creator), Lis, S. (Creator) & Shields, P. (Creator), University of Bath, 20 Feb 2019
DOI: 10.15125/BATH-00570
Dataset

An investigation into cooperative robot exploration
Llanwarne, H. (Author), Martinez Hernandez, U. (Supervisor), Oct 2021
Student thesis: Masters Thesis › MSc
Camera Based Autonomous Driving Using Machine Learning
Wijesinghe, U. (Author), Martinez Hernandez, U. (Supervisor), 2019
Student thesis: Masters Thesis › MEng
Computational Electromagnetic Modelling of InGaN/GaN Nano-LEDs
Fox, S. (Author), Allsopp, D. (Supervisor) & Shields, P. (Supervisor), 12 Apr 2017
Student thesis: Doctoral Thesis › PhD

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