Electronics Materials, Circuits & Systems Research Unit (EMaCS)

Organization profile

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.

 

Fingerprint Dive into the research topics where Electronics Materials, Circuits & Systems Research Unit (EMaCS) is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.

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    Projects

    Research Output

    AC Loss Characterization of HTS Pancake and Solenoid Coils Carrying Nonsinusoidal Currents

    Yazdani-Asrami, M., Song, W., Pei, X., Zhang, M. & Yuan, W., 5 Feb 2020, In : IEEE Transactions on Applied Superconductivity. 30, 5, 8984285.

    Research output: Contribution to journalArticle

    Open Access
    File
    6 Downloads (Pure)

    Advanced Quantification of Critical Quality Attributes

    Papamatthaiou, S. & Moschou, D., 1 Oct 2020, (Acceptance date) Potency Assays for Stem Cell Advanced Therapy Medicinal Products. Springer Nature

    Research output: Chapter in Book/Report/Conference proceedingChapter

    A Functional Electrical Stimulation System of High-Density Electrodes with Auto-Calibration for Optimal Selectivity

    Usman, H., Zhou, Y., Metcalfe, B. & Zhang, D., 24 Mar 2020, In : IEEE Sensors Journal. p. 1-1 1 p.

    Research output: Contribution to journalArticle

    Datasets

    Student theses

    Camera Based Autonomous Driving Using Machine Learning

    Author: Wijesinghe, U., 2019

    Supervisor: Martinez Hernandez, U. (Supervisor)

    Student thesis: Masters ThesisMEng

    Computational Electromagnetic Modelling of InGaN/GaN Nano-LEDs

    Author: Fox, S., 12 Apr 2017

    Supervisor: Allsopp, D. (Supervisor) & Shields, P. (Supervisor)

    Student thesis: Doctoral ThesisPhD

    File

    Recognition of Arm Movements with Myo Armband

    Author: Tai, Y., 2019

    Supervisor: Martinez Hernandez, U. (Supervisor)

    Student thesis: Masters ThesisMSc