The University of Southampton

Published: 14 February 2020
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Professor Simon Hettrick

A new national competition sponsored by academics from the University of Southampton is diversifying the recognition of research excellence by celebrating all who contribute to its creation.

Professor Simon Hettrick, Deputy Director of the Software Sustainability Institute, has marked the launch of the hidden REF with an article on Research Professional News, outlining its objective to credit overlooked achievements from the arts to zoology.

The Research Excellence Framework, or REF, is a widely viewed assessment of the quality of research in UK universities, however its submissions are often dominated by academic publications.

“The research community’s myopic fixation on publications as the metric of research excellence means that the REF overlooks many skilled people who are essential to the conduct of research but do not get authorship of papers,” Simon says.

“Research is about more than publications. By raising awareness of the full range of different and vital outputs, I hope the hidden REF will lead to greater recognition of the variety of people that make research possible. Ultimately, we’re running this competition because we believe a fairer research environment is a more effective one.”

The competition’s first phase, which runs to July this year, is seeking suggestions for categories of research outputs that are currently unrecognised. The second phase will then receive submissions for newly identified research categories and judge them through expert panels before winners are announced in November.

Simon’s opinion piece, Hidden REF reveals unsung heroes, is available in full from Research Professional News.

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Date:
16th of February, 2018  @  19:00 - 22:00
Venue:
New Mountbatten (53) - 4025
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This is a Chinese New Year event for the Next Generation Wireless Group. All staff and students are invited. Refereshments provided from 19:30.
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Date:
16th of February, 2018  @  13:00 - 14:00
Venue:
Nuffield Theatre (6) - Room 1083
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“Trunnion failure in modern THR: a consequence of hubris?”
Prof Richie Gill

Abstract: This talk is about  the study of  the effect of assembly force on the strength of head-trunnion interface and the initial displacement of the head on the trunnion with different assembly forces.
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Date:
7th of March, 2018  @  13:00 - 14:00
Venue:
New Zepler (59) - 4025
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We present a design methodology for fault-tolerant ASIC that is based on radiation-hard technology, redundant circuits with latchup protection, additional logic and layout implementation steps, and power gating. Enhancements have been made within the standard ASIC design flow in order to incorporate redundancy and power-switch cells and, consequently, enable protection against single-event upset (SEU), single-event transient (SET), and single-event latchup (SEL). In order to validate the proposed fault-tolerant circuits, a fault-injection environment including fault models has been developed. These techniques are being exploited and implemented in the SEPHY project (http://www.sephy.eu). In order to automate a design flow of the fault-tolerant circuits, it is essential to design specific cells which are not present in the standard or radiation-hard design kits. A SEL protection switch (SPS) is described first. It consists of a current sensor/driver, feedback block, control block, and communication interface for a power network controller. Measurement results of the irradiated test circuits with protection switches of different types and sizes will be presented. Afterwards, the details of triple-modular redundant (TMR) and double-modular redundant (DMR) circuits with latchup protection and separated power domains are given. Fault-injection models for TMR and DMR circuits are developed in order to simulate and verify the fault-tolerant designs. Functional simulation of a digital design at the gate level suffices in case of the single-event transient and upset effects. However, in order to provide the information about design behavior during latchup effect, it is required to functionally simulate the design at the transistor level. TMR and DMR circuit simulation results with the implemented fault-injection models for all three types of the mentioned single-event effects will be presented.
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Date:
23rd of January, 2019  @  14:00 - 15:00
Venue:
EEE Building (32) - Room 3077
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Pioneer of the usage and analysis of mobile phone meta-data for development purposes, Flowminder is an award-winning, non-profit organisation funded by the UN Foundation, ECHO, Bill & Melinda Gates Foundation, DFID, EU, World Bank, IDB, WFP and others. Flowminder’s mission is to improve public health and welfare in low- and middle-income countries using data from mobile operators, satellite imagery and geo-located household surveys. Much of its work is focuses on understanding, monitoring and predicting the distributions, characteristics and dynamics of human populations, providing insights, tools and capacity building to governments, international agencies and NGOs. Previous works include support to the humanitarian community in multiple disaster response operations (the Haiti 2010 Earthquake, the Nepal Earthquake 2015 and Haiti Hurricane Matthew 2016) and during disease outbreaks (Haiti cholera, DRC Ebola), analysis of migration patterns and social networks to predict poverty, food insecurity and to gain a better understanding of human mobility in crisis. Partner of the WorldPop programme, Flowminder works together with researchers at the University of Southampton, developing and operationalising new approaches to solving developmental and humanitarian challenges.
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Date:
21st of November, 2017  @  12:00 - 13:00
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Nightingale (67) - E1001
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Dr Jie Zhang from AIC research group will be presenting a seminar on Fixed point theorem and its applications.
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Date:
31st of October, 2018  @  13:00 - 14:00
Venue:
New Mountbatten (53) - 4025
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Title: Plant Electrophysiology for Monitoring Environmental Parameters Abstract: Plants produce electrical signals, when subjected to various environmental stimuli. These electrical signals in essence represent changes in underlying physiological processes influenced by the external stimuli. Thus, analysing such plant electrical signals may uncover possible signatures of the external stimuli embedded within the signal. The stimuli may vary from different light conditions, burning, cutting, wounding, gas or liquid etc. This opens up the possibility to use such analysis techniques to turn a green plant into a multiple-stimuli sensing biological sensor device. If such an association between the external stimuli and the resulting plant electrical signal could be made, then it may serve the purpose of holistic monitoring of environmental constituents at a much cheaper cost (because of abundance of plants) thereby eliminating the need to install multiple individual sensors to monitor the same external stimuli. In this work, we attempt to explore the possibility of classifying three external stimuli - Sodium Chloride (NaCl), Sulphuric Acid (H2SO4) and Ozone (O3), from the electrical signal response of plants as the first step towards that goal. Bio: Dr. Shre Kumar Chatterjee passed his B.Eng (Electronics and Communications) from Visvesvaraya Technological University, Belgaum, India in 2004. He worked as a trainee consultant and soon headed a newly formed division (which included training students in Microprocessor/Microcontroller programming etc., and liasing with corporates and educational organizations for recruitment of engineering graduates). Thereafter he pursued an MSc in Nanotechnology at University of Southampton during 2005-06. After the successful completion of his MSc, he was involved in several high profile projects in the industry in the microfabrication domain, specializing in Organic Thin Film Transistors (for active matrix flexible and rollable displays). In 2012, he left the industry to pursue a full time PhD under Dr Koushik Maharatna and Dr Srinandan Dasmahapatra to pursue his interests in Machine Learning and Signal Processing. He has worked on Image Processing, EEG Signal analysis and currently working on a short term contract under Dr Geoff Merrett in project PRiME.
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Date:
1st of August, 2018  @  13:00 - 14:00
Venue:
New Mountbatten (53) - 4025
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ABSTRACT: The development of machine vision solutions in silicon presents significant challenges in terms of architecture and implementation. The high speed and bandwidth requirements alone require the systems to achieve the highest performance levels. In addition, enabling re-use for derivative solutions whilst committing to an aggressive time-to-market in a fast-moving landscape pushes the challenges beyond technical implementation considerations. Everything from architecture to code structure to software hooks needs to align seamlessly. In this talk Sondrel will share some examples and experiences of developing SoC solutions for machine vision applications.
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Published: 13 February 2020
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Virginia Hodge, Royal Society Entrepreneur in Residence

Enterprise expert Virginia Hodge will help turn Electronics and Computer Science research into commercial success as a Royal Society Entrepreneur in Residence at the University of Southampton.

The former Vice-President of the Institution of Engineering and Technology (IET) will be embedded in the School’s teaching and research activities while serving as a Resident Mentor at the on-campus Future Worlds startup accelerator over the next two years.

She is one of two Royal Society Entrepreneurs in Residence announced at the University in the latest intake of the prestigious scheme, joining GlaxoSmithKline’s Dr Duncan Holmes who will work with Experimental and Clinical Sciences.

Fifteen entrepreneurs, senior scientists and business leaders have been appointed across the UK this winter and will now be funded to spend one day per week increasing knowledge and awareness of cutting edge industrial science, research and innovation.

Professor Paul Lewin, Head of Electronics and Computer Science (ECS), says: “We are delighted that Virginia has been appointed as a Royal Society Entrepreneur in Residence. She will provide commercial expertise that will enhance our education and research activities and we are looking forward to working together.”

Virginia has extensive industrial experience of systems and software engineering in a career spanning defence, safety and aviation. She is a Trustee of Foothold, the IET Benevolent Fund and joined Future Worlds as a Resident Mentor in 2019.

“I’m delighted to be appointed Entrepreneur in Residence by the Royal Society,” she says. “During my time as a mentor at Future Worlds, I’ve greatly enjoyed getting to know the University of Southampton community and meeting entrepreneurially-minded staff and students doing world-changing things. The University has a brilliant culture of enterprise and I’m looking forward to expanding upon my work with Future Worlds and ECS to further promote and support entrepreneurship.”

Last summer, Virginia joined a panel of experts at the University of Southampton as they discussed the barriers to women’s participation in the worlds of engineering and enterprise.

Ben Clark, Future Worlds Director, says: “It’s fantastic news that Virginia has been recognised by the Royal Society with this award. She has been an invaluable member of the Future Worlds community through bringing her expertise to many of the startups and spinouts in our network. I’m thrilled that the Royal Society is enabling the furthering of this impact and look forward to more opportunities to work with Virginia along with the School of Electronics and Computer Science to further accelerate the commercial potential within ECS and the Future Worlds network.”

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Date:
24th of October, 2018  @  13:00 - 14:00
Venue:
New Mountbatten (53) - 4025
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TITLE: Machine Vision in Silicon - an Implementation Story ABSTRACT: The development of machine vision solutions in silicon presents significant challenges in terms of architecture and implementation. The high speed and bandwidth requirements alone require the systems to achieve the highest performance levels. In addition, enabling re-use for derivative solutions whilst committing to an aggressive time-to-market in a fast-moving landscape pushes the challenges beyond technical implementation considerations. Everything from architecture to code structure to software hooks needs to align seamlessly. In this talk Sondrel will share some examples and experiences of developing SoC solutions for machine vision applications.
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