About Us
nquiringminds is an award-winning Southampton high tech company providing AI analytics, Internet of Things solutions and data security to solve real world problems. We work in Industrial Manufacturing, Agri-Tech, Healthcare and Smart Cities and Cyber Security.
Customers range from Government departments in the UK and abroad, to funded research with Universities across the world with our pioneering research in cyber security data sharing and senor technologies.
Publications
Fernandes, Joao, Cabaco and Karra, Nikita (2022) Data to support the article Real-time monitoring of epithelial barrier function by impedance spectroscopy in a microfluidic platform. University of Southampton https://doi.org/10.5258/SOTON/D2138 [Dataset]
Karra, Nikita (2022) Data associated with Chapter 3, 4 and 5 of the thesis ‘ Development of an integrated aerosol drug delivery device for an in vitro airway barrier on a chip platform’. University of Southampton https://doi.org/10.5258/SOTON/D2184 [Dataset]
Fernandes, Joao, Cabaco, Karra, Nikita, Bowring, Joel, Reale, Riccardo, James, Jonathan, Pell, Theresa, Blume, Cornelia, Rowan, Wendy, Davies, Donna, Swindle, Emily and Morgan, Hywel (2022) Real-time monitoring of epithelial barrier function by impedance spectroscopy in a microfluidic platform. Lab on a Chip. (doi:10.1039/D1LC01046H).
Karra, Nikita (2022) Integrating an aerosolised drug delivery device with conventional static cultures and a dynamic airway barrier microphysiological system. University of Southampton doi:10.5258/SOTON/D2252 [Dataset]
Computing experts from the University of Southampton have published the latest progress in energy-efficient parallel computation in a new book with the Institution of Engineering and Technology (IET).
The book, which is edited by the School of Electronics and Computer Science’s Professor Bashir Al-Hashimi and Dr Geoff Merrett, includes the findings from a multi-million pound research programme investigating the management of power and reliability in future many-core mobile and embedded systems.
Many-Core Computing: Hardware and Software offers valuable insight for engineers, designers, architects and managers within academia and industry.
Professor Bashir Al-Hashimi, Dean of Engineering and Physical Sciences, said: “We have entered a significant and exciting age in computing, as the focus has moved away from performance-centric serial computation and towards energy-efficient parallel computation. This important new book draws upon findings from the Southampton-led PRiME Programme Grant, with most of the chapters either a direct result of research undertaken on this project, or else the collaborations and discussions that we had during it.”
PRiME collaborators held a focussed one-day workshop on many-core systems in 2018 from which the editors invited some of the distinguished speakers to contribute to the book.
Dr Geoff Merrett, Head of Southampton’s Centre for the Internet of Things and Pervasive Systems, added: “It was great to work with such a fantastic collection of international leaders in the field of many-core computing in order to bring this book together, and the result is an essential resource on the state and future of the field spanning hardware technologies all the way through to software systems.”
The new book opens with programming models, operating systems and their applications. The authors present runtime management techniques, followed by system modelling, verification and testing methods, and architectures and systems, before concluding with some examples of innovative applications.
PRiME brought together four UK universities and five companies with world-leading expertise in advanced electronics and computer systems, utilising £5.6m of funding from the Engineering and Physical Sciences Research Council (EPSRC) between 2013 and 2018.
Researchers in ECS will continue to exploit some of the breakthroughs achieved through PRiME as part of a recently announced EPSRC International Centre on Spatial Computational Learning. The team will be investigating how to ensure that machine learning applications remain energy efficient and make best use of available hardware.
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Publications
Alotaibi, Fahad, Abduallah, Hoang, Thai Son and Butler, Michael (2022) High-level rigorous template for analysing safety properties of self-driving vehicle systems. In COMPSAC 2022. (In Press)
Software teams competed to design and implement 5G applications that deliver new media experiences in a hacking event from a consortium led by the University of Southampton.
The Urban Hacking in 5G event showcased the latest advances in 5G networking and technologies across four days at the University of Bristol’s Smart Internet Lab.
Participating teams, known as Hackers, were challenged to create inclusive, participative and entertainment experiences for the public.
The FLAME consortium is coordinated by Professor Michael Boniface, Head of the University of Southampton IT Innovation Centre, and is working with 12 partners across six countries to deliver a ground-breaking media delivery platform.
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Researchers from the University of Southampton are re-thinking machine learning architectures and algorithms for future intelligent devices as part of a new Centre for Spatial Computational Learning.
The international collaborative research centre has secured over £1.2m of funding from the Engineering and Physical Sciences Research Council (EPSRC) to tackle challenges associated with the Internet of Things (IoT) and autonomous computing’s increasing need to embed intelligence into devices.
The new Centre is led by Imperial College and involves collaborators in Southampton, Toronto and California, alongside industrial partners at Arm, Imagination Technologies, Xilinx, Corerain, and Maxeler Technologies.
Experts from Southampton’s School of Electronics and Computer Science, including Professor Bashir Al-Hashimi and Dr Geoff Merrett, will focus on energy-efficient computation for intelligence.
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Msc(ENG)
Contact
Telephone: +44 (0) 23 8059 7579872691
Email: Jiawei.Lu@soton.ac.uk
Four past and present students from the University of Southampton have been named among the most talented young electronic engineers in the country in the BrightSparks 2019 awards.
Emma Curati-Alasonatti, Nathan Ruttley, Louisa Smith and Ricki Tura were honoured in Electronics Weekly’s (EW) 2019 cohort in a ceremony at the Institution of Engineering and Technology’s Maxwell Library in London.
The students are all present of former UK Electronics Skills Foundation (UKESF) scholars through a scheme available to Southampton undergraduates as a partnered university.
Stewart Edmondson, UKESF CEO, said: “We are delighted to congratulate the four scholars who made the list this year. This is a fantastic result; double the number selected in 2018. We are extremely proud of the quality and high calibre of the students that join our undergraduate Scholarship Scheme – one of the reasons the value of the scheme is increasingly recognised by companies right across the electronics sector – and it is heartening when they receive public recognition.”
Fourth year Electrical and Electronic Engineering student Ricki Tura was commended for creating a document generating tool that reduces the amount of errors in IP documentation plus his dedication to growing the popular Electronics and Computer Science Society (ECSS). The current UKESF scholar, sponsored by UltraSoc, was also recently named the UKESF Scholar of the Year at this winter’s TechWorks Awards.
Electronic Engineering graduate Emma Curati-Alasonatti, now at Arm, was recognised for a recent project focused on hardware vulnerabilities as well as her devotion to running after school code clubs for primary school children. The success comes just months after she also scooped a TechWorks Award, having been named Young Engineer of the Year.
Fellow Electronic Engineering graduates Nathan Ruttley and Louisa Smith were UKESF scholars from 2014 to 2016 and 2011 to 2014 respectively. Nathan, now of RPD International, was honoured for his leadership on a smart home radiator valve, while Robogals Southampton co-founder Louisa, now of Imagination Technologies, was celebrated for her work on a complex module that controls the scheduling and resourcing of a graphics processing unit.
Dr Geoff Merrett, Associate Professor at the University, said: “It’s great to see so many of our current and recent students recognised in this year’s awards, and this is a testament to their outstanding quality, drive and ambition. It’s heartening to see how their careers are developing, and their trajectories towards becoming the industry’s future leaders.”
The EW BrightSparks 2019 awards were presented by TV journalist Steph McGovern and included an inspirational address from Katie Cresswell-Maynard, Chief Executive of Engineers Without Borders, on how engineers can make a positive impact around the world.
Articles that may also interest you
Publications
Cui, Jingjing, Liu, Yuanwei, Ding, Zhiguo, Fan, Pingzhi, Nallanathan, Arumugam and Hanzo, Lajos (2019) Next-generation mm-wave small-cell networks: multiple access, caching and resource management. IEEE VechicularTechnology Magazine, 1-8. (doi:10.1109/MVT.2019.2922110).
Cui, Jingjing, Ding, Zhiguo, Deng, Yansha, Nallanathan, Arumugam and Hanzo, Lajos (2020) Adaptive UAV-trajectory optimization under quality of service constraints: a model-free solution. IEEE Access, 1-14. (doi:10.1109/ACCESS.2019.DOI).
Cui, Jingjing, Ng, Soon Xin, Liu, Dong, Zhang, Jiankang, Nallanathan, Arumugam and Hanzo, Lajos (2021) Multi-objective optimization for integrated ground-air-space networks. IEEE Vehicular Technology Magazine. (In Press)
Liu, Dong, Cui, Jingjing, Zhang, Jiankang, Yang, Chenyang and Hanzo, Lajos (2021) Deep reinforcement learning aided routing in aeronautical ad hoc networks. IEEE Transactions on Vehicular Technology, 5166-5171. (doi:10.1109/TVT.2021.3074015).
Cui, Jingjing, Liu, Dong, Zhang, Jiankang, Yetgin, Halil, Ng, Soon Xin, Maunder, Robert and Hanzo, Lajos (2021) Minimum-delay routing for integrated aeronautical ad hoc networks relying on real flight data in the North-Atlantic region. IEEE Open Journal of Vehicular Technology. (doi:10.1109/OJVT.2021.3089543). (In Press)
Cui, Jingjing, Yetgin, Halil, Liu, Dong, Zhang, Jiankang, Ng, Soon Xin and Hanzo, Lajos (2021) Twin-component near-Pareto routing optimization for AANETs in the North-Atlantic region relying on real flight statistics. IEEE Open Journal of Vehicular Technology. (In Press)
Zhang, Jiankang, Xiang, Luping, Liu, Dong, Cui, Jingjing, Ng, Soon Xin, Maunder, Robert, Graeupl, Thomas, Uwe, Carsten-Fiebig and Hanzo, Lajos (2021) Semi-stochastic aircraft mobility modelling for aeronautical networks: An Australian case-study based on real flight data. IEEE Transactions on Vehicular Technology, 70 (10), 10763-10779. (doi:10.1109/TVT.2021.3104118).
Liu, Dong, Zhang, Jiankang, Cui, Jingjing, Ng, Soon Xin, Maunder, Robert and Hanzo, Lajos (2021) Deep learning aided routing for space-air-ground integrated networks relying on real satellite, flight, and shipping data. IEEE Wireless Communications.
Cui, Jingjing, Ng, Soon Xin, Liu, Dong, Zhang, Jiankang, Nallanathan, Arumugam and Hanzo, Lajos (2021) Multiobjective optimization for integrated ground-air-space networks: Current research and future challenges. IEEE Vehicular Technology Magazine, 16 (3), 88-98, [9461636]. (doi:10.1109/MVT.2021.3085511).
Cui, Jingjing, Xiong, Yifeng, Ng, Soon Xin and Hanzo, Lajos (2022) Quantum approximate optimization algorithm based maximum likelihood detection. IEEE Transactions on Communications. (In Press)