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Personal profile

Biography

Dr Violeta Holmes is a Reader in High Performance Computing at the Huddersfield University with over 25 years of teaching and research experience in computing and engineering.

She leads the High Performance Computing (HPC) Research Group at the University of Huddersfield, and is ARCHER champion and Deep Learning Institute certified instructor. Her research interests and expertise are in the areas of HPC systems infrastructure, computer Clusters, Grids, Cloud computing, Intelligent agents, Big Data, Internet of Things and Embedded systems. She was awarded the status of Chartered Engineer and Fellowship of Higher Education Academy and is a member of the Institute of Engineering and Technology (IET) and the British Computer Society (BCS).

She joined the School of Computing and Engineering at the University of Huddersfield in 2007 as a Senior Lecturer in DSP and Embedded Systems. She lectures in parallel computer architectures, computer clusters, cloud and grid, embedded system, digital signal processing and virtual instrumentation. She is a Course leader for MSc Internet of Things, and was a Course Leader for MSc Embedded Systems Engineering and MSc Electronic and Communication Engineering.

From  2010 to 2018 she was a Subject Leader for Electronic and Electrical Engineering. She also co-founded the HPC Research Group which aims to promote the links between high performance computer users, developers and researchers across various research groups and institutes at the University of Huddersfield, and throughout the UK and internationally. Under her leadership, the HPC Research Group has established links with the UK National e-Infrastructure Service (NES) as an affiliate member, and was instrumental in establishing collaboration between the University of Huddersfield and the Science and Technology Facilities Council (STFC) Daresbury Laboratory. She was working with 3M Business and Innovation Centre at the University of Huddersfield helping industry to access HPC research and design facilities.

She obtained her degree in Electronics and Physics from the ETF Electronic and Technical Physics Faculty, University of Belgrade, Yugoslavia. She worked as a Systems Engineer in Smederevo Steel Mill Yugoslavia, gaining industrial experience in computer control of hot and cold steel rolling mills. She continued her postgraduate studies in the UK and completed an MSc in Control Engineering from Bradford University, followed by a PhD from the University of Huddersfield in the application of artificial intelligence in distributed computer control.

Research Expertise and Interests

  • High Performance Computing - Clusters, Grids, Cloud, and Cloud Robotics
  • Embedded Systems – assistive technologies
  • Digital Signal Processing and Visualisation - GPUs and FPGAs
  • Internet of Things
  • Sustainable software
  • Intelligent Agents

Research Degree Supervision

Click Here to see all postgraduate research opportunities with Dr Violetta Holmes

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Research Output 2013 2018

2 Citations

Comparing Mamdani Sugeno Fuzzy Logic and RBF ANN Network for PV Fault Detection

Dhimish, M., Holmes, V., Mehrdadi, B. & Dales, M. Mar 2018 In : Renewable Energy. 117, p. 257-274 8 p.

Research output: Contribution to journalArticle

Fault detection
Fuzzy logic
Neural networks
Fuzzy systems
Membership functions
Open Access
Solar cells
Cracks
Electroluminescence
Open Access
File
mechanical engineering
CAD
Engineering education
Mechanical engineering
Computer aided design
Chemical activation
Photovoltaic cells
Infrared imaging
Cameras
Costs

PV output power enhancement using two mitigation techniques for hot spots and partially shaded solar cells

Dhimish, M., Holmes, V., Mehrdadi, B., Dales, M. & Mather, P. May 2018 In : Electric Power Systems Research. 158, p. 15-25 11 p.

Research output: Contribution to journalArticle

Photovoltaic cells
Solar cells
Chemical activation
Infrared imaging
Cameras