Automation and Robotics
Our research into Automation and Robotics develops novel technologies for embodied, autonomous systems deployed in complex, dynamic and uncertain environments.
A key feature of ECS is that we are truly interdisciplinary. Many of our research groups sit at the interface between electronics and computer science, including cyber security and cyber physical systems, and we hold significant research links with other schools, institutes and faculties. Through making key appointments in seven research areas, our ambition is not to rest on our history and past successes. We wish to grow a School for the future, developing new research activities and educational programmes that continue to make the highest quality contributions to science and engineering in an increasingly uncertain world facing significant global challenges.
Computer Engineering
There is an increasing need for research at the intersection of computer science and electrical engineering.
Digital Health
The incremental digitisation of our physical world is creating news ways to connect, aggregate and disaggregate digital representations of human health.
Human-Centred AI
Human-Centred AI (HCAI) is a transformative research agenda focused on creating intelligent systems that are embedded in complex human social and organisational environments.
Human Systems Interaction
Human Systems Interaction (HSI) is an evolution of the study of Human Computer Interaction (HCI), which has primarily focused on the interface between “the computer” and a person.
Machine Learning
Machine learning is the science and art of extracting useful information from large and complex datasets.
Theoretical Computer Science and Software Engineering
With the growing impact that Computer Science has in society and across the economy, there is increased demand for rigorous methods and techniques to model and verify key properties of software systems.
Investing in Computer Science and Artificial Intelligence
The University of Southampton is investing millions of pounds in Computer Science and Artificial Intelligence, read the full statement here
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Working with us
We have created an environment that has inspired an extraordinary level of achievement
Our mentoring
ECS has a thriving mentoring initiative that is enriching our culture by providing a supportive environment for personal development.
Southampton is renowned for offering a first-rate education in an exceptional research environment, but we do not merely rest on our history and past successes. This bold expansion of staff and facilities in Electronics and Computer Science will place Southampton at the cutting-edge of AI teaching and research long into the future, delivering our mission to change the world for the better.
MInstP, MIET
Research Fellow
Jack Tyson is an electronic engineer from England. He completed both his undergraduate honours and PhD studies at the University of Southampton, where he currently works as a Research Fellow. Jack’s PhD focussed on the optical anti-reflectance of monocrystalline silicon photovoltaics when applied with hybrid micro-/nano-scale surface texturing. In 2019, he won the IET Innovation Award for Model-based Engineering for his work on the accurate computational modelling of these structures, and became a member of the panel of expert judges for the IET in 2020.
Jack is a member of the Institute of Physics (IOP) and the Institution of Engineering and Technology (IET), and is a reviewer for the Journal of Open Source Software (JOSS).
Research
Research interests
- Applied Optics
- Healthcare Technology
- Neural Networks
- Neurology
- Oncology
- Otology
Teaching
- ELEC2217: Electrical and Electronic Engineering Design
- ELEC3202: Green Electronics
- ELEC3207: Nanoelectronic Devices
Publications
Tyson, Jack, Rahman, Tasmiat and Boden, Stuart (2019) Optical simulation of black silicon surfaces using geometric randomisation and unit-cell based averaging. The 15th Photovoltaic Science, Applications and Technology Conference<br/>, University of Warwick, Coventry, United Kingdom. 10 - 12 Apr 2019. 4 pp .
Tyson, Jack, Rahman, Tasmiat and Boden, Stuart (2019) Multiphysics simulations for robust computational modelling of stochastic nanostructures. 2019 COMSOL Conference, , Cambridge, United Kingdom. 24 - 26 Sep 2019.
Tyson, Jack, Rahman, Tasmiat and Boden, Stuart (2021) Angle-resolved Hemispherical Reflectometry for the Optical Characterisation of Photovoltaic Materials. SuperSolar/PVSAT Conference 2021. 08 - 10 Jun 2021.
Tyson, Jack, Rahman, Tasmiat and Boden, Stuart (2021) Ray tracing coupled with electromagnetic wave optics for nanoscale light propagation studies. 2020 COMSOL Conference, , Grenoble, France. 14 - 15 Oct 2020.
Tyson, Jack, Rahman, Tasmiat and Boden, Stuart (2020) A new mathematical interpretation of disordered nanoscale material systems for computational modelling. Computer Physics Communications, 255, 1-15, [107399]. (doi:10.1016/j.cpc.2020.107399).
Tyson, Jack, Rahman, Tasmiat and Boden, Stuart (2022) Angle-resolved spectrophotometry for the optical characterisation of material surfaces. IEEE Transactions on Instrumentation and Measurement, 71. (doi:10.1109/TIM.2022.3146947).
Tyson, Jack, Rahman, Tasmiat and Boden, Stuart (2021) Hybrid black silicon nanotextures and their Implications on the time-varying performance of solar photovoltaic technologies in the real world. The 16th Photovoltaic Science, Applications and Technology Conference, University of Salford, Salford, United Kingdom. 06 - 08 Apr 2022. (Submitted)
Contact
Email: j.j.tyson@soton.ac.uk
Discover Biomedical Engineering (Electronics)
Find out from students Lucy, Max and Conor what studying Biomedical Engineering (Electronics) at Southampton is really like.
Publications
Huang, Ruomeng, Kapur, Omesh, Guo, Dongkai, Jiang, Liudi, Han, Yisong, Beanland, Richard, De Groot, Kees and Reynolds, Jamie (2022) Dataset for the journal article: "Back-end-of-line SiC based memristor for resistive memory and artificial synapse". University of Southampton doi:10.5258/SOTON/D2165 [Dataset]
Kapur, Omesh, Radhev, Guo, Dongkai, Reynolds, Jamie, Han, Yisong, Beanland, Richard, Jiang, Liudi, De Groot, Kees and Huang, Ruomeng (2022) Back-end-of-line SiC based memristor for resistive memory and artificial synapse. Advanced Electronic Materials. (doi:10.1002/aelm.202200312).
Publications
Zhu, Yuxiao, Newbrook, Daniel, William, Dai, Peng, De Groot, Kees and Huang, Ruomeng (2022) Artificial neural network enabled accurate geometrical design and optimisation of thermoelectric generator. Applied Energy - Elsevier, 305, [117800]. (doi:10.1016/j.apenergy.2021.117800).
Publications
Robinson, Fred, Sethi, Vikesh, De Groot, Kees, Hector, Andrew L., Huang, Ruomeng and Reid, Gillian (2021) Low pressure CVD of GeE (E = Te, Se, S) thin films from alkylgermanium chalcogenolate precursors and effect of the deposition temperature on the thermoelectric performance of GeTe. ACS Applied Materials & Interfaces, 13 (40), 47773-47783. (doi:10.1021/acsami.1c14237).
Greenacre, Victoria, Hector, Andrew L., Huang, Ruomeng, Levason, William, Sethi, Vikesh and Reid, Gillian (2022) Tungsten(VI) selenide tetrachloride, WSeCl4 - synthesis, properties, coordination complexes and application of [WSeCl4(SenBu2)] for CVD growth of WSe2 thin films. Dalton Transactions, 51 (6), 2400-2412. (doi:10.1039/D1DT03980F).
Amin, Aran, Huang, Ruomeng, Newbrook, Daniel, Sethi, Vikesh, Yong, Sheng, Beeby, Stephen and Nandhakumar, Iris S. (2022) Screen-printed bismuth telluride nanostructured composites for flexible thermoelectric applications. Journal of Physics: Energy, 4 (2), [024003]. (doi:10.1088/2515-7655/ac572e).