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Electronic engineers from the University of Southampton have demonstrated the latest advances in inductive wireless links at a prestigious design conference in San Francisco.
Professor William Redman-White and a team of researchers from the School of Electronics and Computer Science presented a new technique that breaks a classical bandwidth limit at the 2019 Institute of Electrical and Electronics Engineers (IEEE) International Solid-State Circuits Conference (ISSCC).
The Southampton research has addressed fundamental issues in inductive link transmitters, intended for wireless power, radio-frequency identification (RFID) and security systems, where power and data need to be delivered simultaneously.
Such links are limited to simple modulation schemes, with an achievable data rate conventionally limited by circuit compromises required for good power efficiency and range. This is a particular problem where security is required as it restricts the amount of cryptographic information that can be transferred in a practical situation.
The Southampton team included Dr Rares Bodnar, Teerasak Lee and Henry Kennedy, who presented the latest paper at the conference's Techniques for Low-Power & High-Performance Wireless session at the San Francisco Marriott Marquis Hotel.
The paper's new technique employs instantaneous adaptive and predictive antenna coil tuning, allowing data modulation rates to exceed classical bandwidth/Q-factor limits, as well as presenting a fully integrated mixed analogue-digital IC implementation in a smart-power complementary metal-oxide semiconductor (CMOS) technology.
ISSCC is the world's premier integrated circuit design conference, attracting nearly 4,000 industrial and academic delegates from around the worlds, including large numbers from nearby Silicon Valley. This year's gathering united experts around the theme 'Envisioning the future'.
The event provided a poignant milestone for Professor William Redman-White, a past chairman for the conference's analog committee, as he retires to become an Emeritus Professor.
"As well as obtaining two patents for the technique, this is the second time the team has presented a paper at this conference, a very rare achievement for academic submissions from a single project," he says. "It has marked a particularly satisfying final conclusion to 35 years of analogue IC design research in Southampton."
For more information on the project, see the full ISSCC 2019 paper at A High-Q Resonant Inductive Link Transmit Modulator/Driver for Enhanced Power and FSK/PSK Data Transfer Using Adaptive-Predictive Phase-Continuous Switching Fractional-Capacitance Tuning and the predecessor paper Self-Tuning Resonant Inductive Link Transmit Driver Using Quadrature-Symmetric Phase-Switched Fractional Capacitance.
Liu, Haochen (2022) Dataset supporting the article - Deep Learning Assisted Adaptive Index Modulation for mmWave Communications with Channel Estimation. University of Southampton doi:10.5258/SOTON/D2250 [Dataset]
Liu, Haochen, Zhang, Yaoyuan, Zhang, Xiaoyu, El-Hajjar, Mohammed and Yang, Lie-Liang (2022) Deep learning assisted adaptive index modulation for mmWave communications with channel estimation. IEEE Transactions on Vehicular Technology. (doi:10.1109/TVT.2022.3181825).
Over the last 60 years, commerce in exotic wild plants increased in Western countries. Alongside the legal trade in plants, the profitability of the market also boosted illegal markets. Wild plant trafficking threatens and destroys numerous species and important natural resources and hinders the rule of law and security as profits are also used to finance other forms of trafficking. The Internet has increased the illegal trade in wild plants, facilitating the encounter of supply and demand; no matter how highly specialised the market in certain wild plants, it is much easier to find potential buyers or sellers online than in the physical world. Unfortunately, the policing of such a criminal activity is still scarce and poorly resourced: a major challenge is the fact that many law enforcement agencies have limited training opportunities and lack of equipment and specific expertise to counter effectively this illegal trade. In this context, the question of how can we best control and prevent this criminal market needs to be addressed.
FloraGuard combines innovative and cross-disciplinary ways of analysing online marketplaces for the illegal trade in endangered plants and analyses of existing policing practices to assist law enforcement in the detection and investigation of illegal trades of endangered plants. It focuses on the UK, which serves as a major transit and destination market for the European region.
The research is structured around three cumulative work-packages (WP). WP1 comprises analysis at a community level of economic, social and geographical dynamics of a sample of online marketplaces active in the UK and associated with the illegal trade of endangered plants. WP2 focuses on the policing of this criminal activity by mapping current law enforcement practices and interventions, assessing their effectiveness in the light of the findings of WP1, and identifying law enforcementâÃâ¬Ãâ¢s needs for more effective policing. WP3 develops and tests a digital package of resources to assist law enforcement investigations into illegal trades of endangered plants in the UK.
Floraguard is funded by the Economic and Social Research Council (ESRC).
Note: PhD applicants interested in doing PhD in power system estimation, control and renewable integration, please email me on A.K.Singh@soton.ac.uk.
Dr. Abhinav Kumar Singh received his Bachelor’s degree in Aug 2010 from Indian Institute of Technology (IIT), New Delhi, India, and Ph.D. degree in Jan 2015 from Imperial College London, U.K., both in Electrical Engineering. He has been a Lecturer of Power Systems at the School of Electronics and Computer Science, University of Southampton, since April 2019. Prior to joining Southampton, he was a Lecturer at University of Lincoln from Aug 2017 to Mar 2019, and a Research Associate at Imperial College London from Jan 2015 to July 2017. He currently also serves as Editor of IEEE Transactions on Power Systems and Journal of Modern Power Systems and Clean Energy.
His research interests lie in real-time estimation and control of future energy networks, a multi-disciplinary area involving the fields of power systems, sustainable energy, control systems, signal processing and communication. The motivation behind his research lies in the fact that traditional technologies for protection and control of energy systems need to be upgraded to manage newer complexities arising because of increased integration of renewable sources of energy - and the identification or estimation of current operating states of the system in real-time is a necessary requirement for that. His key research contribution towards this requirement is in proposing a new approach for achieving decentralization in estimation and control of power systems which bypasses the unrealistic assumption of having a rigorous communication network for data transmission in power systems and facilitates real-time estimation and control. His current research deals with dynamic estimation based nonlinear control of power system dynamics, and modelling and dynamic estimation and control of renewable generation.
His research findings during PhD were selected for the EPSRC Doctoral Prize Fellowship. He has developed and validated a 68-bus power system model as part of IEEE PES Task Force on Benchmark systems for small signal stability analysis and control, which now serves as a standard for researchers to validate their innovations in stability analysis and control design. He was also a member of IEEE PES Task Force on Dynamic State and Parameter Estimation, which standardized definitions and methods of dynamic estimation and demonstrate its applicability. Within this taskforce, he led a subtask aimed at demonstrating the value of dynamic estimation in real-time power system monitoring and control. His contributions to these task-forces have been recognised through the IEEE PES Working Group Recognition Awards, awarded in 2016 and 2022, respectively. He is currently a member of IEEE PES Task Force on Standard Test Cases for Power Systems State Estimation, wherein he is leading the development of the DSE test case for 68-bus benchmark system.
Research projects:
PI on a National Grid project, ‘Economic Ageing of Transformers’, NIA_NGTO038: £480K, Oct 2019-Jun 2021.
Co-I on a UK-China EPSRC-NSFC project, ‘Resilient Operation of Sustainable Energy Systems’, EP/T021713/1: £780K, Jul 2020-Jun 2023.
Power system dynamics
Power system modelling
Power system estimation and control
Modelling of renewable generation
Large-scale integration of renewables
Current modules:
ELEC3213 - Power Systems Engineering
ELEC6222 - Power and Distribution
ELEC6226 - Power Electronics for DC Transmission
MATH2047 - Mathematics for Electronics & Electrical Engineering Part II
Past modules:
Power Systems Dynamics, Stability and Control
Power Electronics
Electrical Machine Design
Canizares, C., Fernandes, T., Geraldi, E., Gerin-Lajoie, L., Gibbard, M., Hiskens Tf Past Chair, I., Kersulis, J., Kuiava, R., Lima, M. L., Demarco, F., Martins, N., Pal, B. C., Piardi, A., Ramos, R., Roberto dos Santos, Joo, Silva, D., Singh, A. K., Tamimi, B. and Vowles, D. (2015) Benchmark systems for small-signal stability analysis and control (IEEE Power and Energy Society) Institute of Electrical and Electronics Engineers Inc. 390pp.
Singh, Abhinav Kumar and Pal, Bikash C. (2019) Dynamic estimation and control of power systems , Academic Press, 262pp.
Singh, A.K., Sawan, S., Hanmandlu, M., Madasu, V. K. and Lovell, B. C. (2009) An abandoned object detection system based on dual background segmentation. In 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance. Institute of Electrical and Electronics Engineers Inc. pp. 352-357 . (doi:10.1109/AVSS.2009.74).
Singh, Abhinav Kumar and Pal, Bikash Chandra (2019) Rate of change of frequency estimation for power systems using interpolated DFT and Kalman filter. IEEE Transactions on Power Systems, 34 (4). (doi:10.1109/TPWRS.2018.2881151).
Bhui, Pratyasa, Senroy, Nilanjan, Singh, Abhinav K. and Pal, Bikash C. (2018) Estimation of inherent governor dead-band and regulation using unscented Kalman filter. IEEE Transactions on Power Systems, 33 (4), 3546-3558. (doi:10.1109/TPWRS.2017.2765692).
Zhao, Junbo, Gomez-Exposito, Antonio, Netto, Marcos, Mili, Lamine, Abur, Ali, Terzija, Vladimir, Kamwa, Innocent, Pal, Bikash Chandra, Singh, Abhinav Kumar, Qi, Junjian, Huang, Zhenyu and Meliopoulos, A. P. Sakis (2019) Power system dynamic state estimation: Motivations, definitions, methodologies and future work. IEEE Transactions on Power Systems, 34 (4), 3188 - 3198. (doi:10.1109/TPWRS.2019.2894769).
Singh, Abhinav Kumar and Pal, Bikash C. (2018) Decentralized robust dynamic state estimation in power systems using instrument transformers. IEEE Transactions on Signal Processing, 66 (6), 1541-1550, [8249743]. (doi:10.1109/TSP.2017.2788424).
Singh, Abhinav Kumar and Pal, Bikash C. (2018) Decentralized nonlinear control for power systems using normal forms and detailed models. IEEE Transactions on Power Systems, 33 (2), 1160-1172. (doi:10.1109/TPWRS.2017.2724022).
Singh, Abhinav Kumar and Pal, Bikash C. (2014) Decentralized dynamic state estimation in power systems using unscented transformation. IEEE Transactions on Power Systems, 29 (2), 794-804, [6616007]. (doi:10.1109/TPWRS.2013.2281323).
Singh, Abhinav K. and Pal, Bikash C. (2016) An extended linear quadratic regulator and its application for control of power system dynamics. In 2016 IEEE 1st International Conference on Control, Measurement and Instrumentation, CMI 2016. Institute of Electrical and Electronics Engineers Inc. pp. 110-114 . (doi:10.1109/CMI.2016.7413721).
Singh, Abhinav Kumar and Pal, Bikash C. (2017) An extended linear quadratic regulator for LTI systems with exogenous inputs. Automatica, 76, 10-16. (doi:10.1016/j.automatica.2016.10.014).
Singh, Abhinav Kumar and Pal, Bikash C. (2016) Decentralized control of oscillatory dynamics in power systems using an extended LQR. IEEE Transactions on Power Systems, 31 (3), 1715-1728, [7202912]. (doi:10.1109/TPWRS.2015.2461664).
Canizares, C., Fernandes, T., Geraldi, E., Gerin-Lajoie, L., Gibbard, M., Hiskens Tf Past Chair, I., Kersulis, J., Kuiava, R., Lima, L., Demarco, F., Martins, N., Pal, B. C., Piardi, A., Ramos Tf Chair, R., Dos Santos, J., Silva, D., Singh, A. K., Tamimi, B. and Vowles, D. (2017) Benchmark models for the analysis and control of small-signal oscillatory dynamics in power systems. IEEE Transactions on Power Systems, 32 (1), 715-722, [7463478]. (doi:10.1109/TPWRS.2016.2561263).
Ariff, M. A.M., Pal, B. C. and Singh, A. K. (2015) Estimating dynamic model parameters for adaptive protection and control in power system. IEEE Transactions on Power Systems, 30 (2), 829-839, [6861457]. (doi:10.1109/TPWRS.2014.2331317).
Singh, Abhinav Kumar, Singh, Ravindra and Pal, Bikash C. (2015) Stability analysis of networked control in smart grids. IEEE Transactions on Smart Grid, 6 (1), 381-390, [6813688]. (doi:10.1109/TSG.2014.2314494).
Zhao, Junbo, Netto, Marcos, Huang, Zhenyu, Yu, Samson Shenglong, Gomez-Exposito, Antonio, Wang, Shaobu, Kamwa, Innocent, Akhlaghi, Shahrokh, Mili, Lamine, Terzija, Vladimir, Meliopoulos, A.P. Sakis, Pal, Bikash C., Singh, Abhinav Kumar, Abur, Ali, Bi, Tianshu and Rouhani, Alireza (2020) Roles of dynamic state estimation in power system modeling, monitoring and operation. IEEE Transactions on Power Systems, 36 (3). (doi:10.1109/TPWRS.2020.3028047).
Mir, Abdul Saleem, Singh, Abhinav Kumar and Senroy, Nilanjan (2021) Robust observer based methodology for frequency and rate of change of frequency estimation in power systems. IEEE Transactions on Power Systems, 36 (6), 5385-5395. (doi:10.1109/TPWRS.2021.3076562). (In Press)
Liu, Yu, Singh, Abhinav Kumar, Zhao, Junbo, Meliopoulos, A. P., Pal, Bikash Pal, Ariff, M. A. M., Van Cutsem, Thierry, Glavic, Mevludin, Huang, Zhenyu, Kamwa, Innocent, Mili, Lamine, Mir, Abdul Saleem, Taha, Ahmad, Terzija, Vladimir and Yu, Shenglong (2021) Dynamic state estimation for power system control and protection. IEEE Transactions on Power Systems. (doi:10.1109/TPWRS.2021.3079395).
Zhao, Junbo, Singh, Abhinav Kumar, Mir, Abdul Saleem, Taha, Ahmad, Abur, Ali, Gomez-Exposito, Antonio, Meliopoulos, A.P. Sakis, Pal, Bikash, Kamwa, Innocent, Qi, Junjian, Mili, Lamine, Ariff, M.A.M., Netto, Marcos, Glavic, Mevludin, Yu, Samson Shenglong, Wang, Shaobu, Bi, Tianshu, Van Cutsem, Thierry, Terzija, Vladimir, Liu, Yu and Huang, Zhenyu (2021) Power system dynamic state and parameter estimation-transition to power electronics-dominated clean energy systems: IEEE task force on power system dynamic state and parameter estimation (IEEE Technical Report, PES-TR88) IEEE 90pp.
Mir, Abdul, Singh, Abhinav Kumar, Pal, Bikash Pal, Senroy, Nilanjan and Tu, Junjie (2022) Adequacy of lyapunov control of power systems considering modelling details and control indices. IEEE Transactions on Power Systems, 1-12. (doi:10.1109/TPWRS.2022.3180397). (In Press)
Telephone: +44 (0) 23 8059 2025
Email: A.K.Singh@soton.ac.uk
Cyber security experts from the University of Southampton have joined forces with the South East Regional Organised Crime Unit (SEROCU) to tackle the evolving use of cryptocurrencies in criminal activities.
Over 200 representatives from law enforcement agencies, government and academia met for a cryptocurrency masterclass at Southampton Science Park's AXIS Conference Centre in a formal launch of the partnership with the Cyber Security Academy.
Virtual currencies are being used in increasing quantities on domains such as the dark web, requiring new approaches and legislation to be enacted by police authorities. The cryptocurrency masterclass drew upon best practice and expertise from a range of speakers to prepare attendees for this new challenge.
Professor Vladimiro Sassone, Director of the Cyber Security Academy, said: "It is important that academia and law enforcement agencies come together to apply the latest outcomes from the UK's research and innovation. I am delighted to have formally launched this partnership with SEROCU which I hope will make a difference in police's increasingly challenging and complex criminal investigations in this arena."
SEROCU is a police unit delivering a cohesive regional response to serious organised crime within the boundaries of Hampshire Constabulary, Thames Valley Police, Surrey Police and Sussex Police.
Detective Chief Superintendent Jess Wadsworth, Head of SEROCU, and Professor Mark Spearing, President and Vice-Chancellor (interim) at Southampton, delivered keynote speeches applauding the formation of the new partnership at the recent masterclass.
Dr Federico Lombardi, a Lecturer in Cyber Security, also delivered a presentation on Cyber Range for Blockchain Platforms, building upon findings of a Group Design Project recently carried out under his supervision by Electronics and Computer Science students.
Attendees at the all-day event included representatives from local police authorities, the National Crime Agency and British Transport Police.
Sarah Martin, Cyber Security Academy Collaboration Manager, added: "This new partnership is an exciting opportunity to build on our previous cyber crime symposiums, to host regular annual events with different themes between law enforcement and cyber security."
The University of Southampton will be part of a new consortium confronting emerging cyber security challenges in the UK.
Professor Vladimiro Sassone, Director of Southampton's Cyber Security Academy, will be part of the new Security, Privacy, Identity and Trust Engagement Network (SPRITE+) which will launch this September.
SPRITE+ will harness outstanding UK research expertise in security, privacy, identity and trust over the next four years as it addresses priority challenges set by academic, business and industry, government and civil stakeholders.
The network, which will be led by the University of Manchester, has been awarded £1.7 million funding by the Engineering and Physical Sciences Research Council.
The University of Southampton is building the next generation of cyber security leaders through MEng in Computer Science with Cyber Security and MSc in Cyber Security degree programmes. The SPRITE+ network will create new opportunities for summer, final year and PhD projects plus partnerships with industry that will enhance this learning experience.
A primary school girl's innovative idea to help her dad with a hearing impairment has inspired an engineering team at the University of Southampton to build and demonstrate a 'Super Hearing Dish'.
Isabelle Radley, a Year 4 pupil from Wonersh and Shamley Green CofE Primary School in Surrey, proposed the invention as part of a national scheme that encourages children to imagine engineering solutions for the world's problems.
Her sketched 'super hearing set' was selected to be prototyped from many entries to the Primary Engineer Leaders Award in the South of England. Experts at Southampton's Institute of Sound and Vibration Research (ISVR) in the School of Engineering and the Public Engagement with Research Unit based their device on her vision and demonstrated it to her and dad, Matt, for the first time at this month's Science and Engineering Day.
"I designed the Super Hearing Set to help people who are hard of hearing listen to only one person in a room," Isabelle says. "My dad doesn't like it when everyone speaks at the same time because he can't hear what's being said. It is really exciting to have my design built and I hope that other people will be able to use it to help them in real life."
Professor of Hearing Science and Technology Dr Stefan Bleeck teamed up with MEng Electrical and Electronic Engineering student Raphael Chung Chi Hang to develop the hearing dish, which receives and processes audio from a microphone mounted on a parabolic dish.
The Super Hearing Dish incorporates Stefan's experience working with real time processing of sound using a Raspberry Pi. "The microphone mounted on the dish can be pointed to a particular direction to gather sound from just that direction," he explains. "Noise from other directions is received at a much lower level, enabling the user to follow a conversation or follow a particular person's speech more easily.
"Real time audio processing on this unit can then also be relayed to users wearing closed headphones to experience what they would hear if they have a hearing impairment and compare this with using a hearing aid or cochlear implant."
Stefan and his team will now produce several further versions which they intend to use in teaching and outreach.
Third year student Raphael designed and built the Super Hearing Dish as part of the Excel Southampton Internship Programme and led the coding of the Raspberry Pi unit.
"Having chosen the internship project to develop my skills and also enjoyed some outreach work with children, I was pleased to be able to talk to Isabelle and her class at her primary school," he says. "The children asked some interesting questions and made suggestions, having just learned about ears and hearing. Each year many schools promote engineering through the Primary Engineer Leaders Award and classes enjoy meeting a range of engineers."
Southampton student engineers also developed the Primary Engineer Leaders Award southern region prototype in 2017-18, when a group of final year Mechanical Engineering students created a Fun Noisy Rubbish Bin. The interactive bin speaks to children to encourage them to recycle and includes responsive eyes and a robotic mouth. The mouth only opens for waste items which are suitable for recycling and tells the child fun facts about how such materials are re-used.
A display of selected concepts entered for the 2019 Primary Engineer Leaders Award will accompany the School of Engineering Design Show, which will open on Thursday 13th June. It is hoped that further projects will follow, showcasing Southampton's support for the Award's motto 'engineers inspiring children inspiring engineers'.
University of Southampton student Dominika Woszczyk impressed in the final of Bright SCIdea Challenge 2019 with her pitch for an AI assistant to support young people's mental health.
The aspiring entrepreneur, who has nurtured multiple startup ideas during her MSc Artificial Intelligence (AI) degree, presented to a panel of expert judges in the national competition that brings together the brightest young business minds to pitch science-based innovations.
Dominika and team members from the Universities of Bristol and Edinburgh were one of five shortlisted entries in the final at the Society of Chemical Industry (SCI) in central London on Tuesday.
They combined their collective experience to pitch BesideYou, an application for students and young adults that would offer a personalised programme to cultivate better mental health with support from an AI chatbot as a 'journey buddy'.
"My MSc's Deep Learning and Advanced Machine Learning modules inspired me to think how current commercial chatbots and apps could be improved and applied to help people," Dominika says. "We started with the idea for an AI therapist for teenagers and this approach then evolved as we developed a business plan. We are so happy to have reached the final as we know a lot of the other competitors who had some very impressive ideas."
The Bright SCIdea Challenge supports participants in business planning and pitch training, and offers valuable networking opportunities within the commercial scientific community. The annual competition, which is sponsored by Synthomer and INEOS, rewards winners with a £5,000 prize.
Dominika spearheaded the BesideYou entry, approaching MSc Artificial Intelligence student Raffaele Piccini from the University of Edinburgh and BSc Electrical and Electronic Engineering student Diane Remmy from the University of Bristol to unite for the contest.
"We want to give people experiencing mental health problems the opportunity to get support for free and anytime," Dominika says. "We differentiate ourselves by providing a journey buddy that you can talk to using a contextual chatbot, motivating you along your personalised plan and rewarding you when you reach milestones."
Dominika was crowned the winner of the University's Future Worlds accelerator Startup Pitch Off in September with her vision for an AI language learning assistant and is hoping to pitch to investors in the Future Worlds Dragons' Den competition this May.
She is currently undertaking a 'chatbot for interactive storytelling' project within her MSc thesis and is planning to pursue a PhD related to natural language processing and speech recognition after her degree.
This project's vision is to develop cutting-edge AI techniques to extract and analyse legal rights and obligations related to property and land. Orbital Witness, the project lead, will use this information to support the creation of "Legal Risk Scores" (similar to credit risk scores) for all property and land. This will revolutionise real estate practice in the legal and insurance sectors, through massively increasing transparency in understanding legal issues affecting property, drastically speeding up the time in which lawyers can spot these legal risks, and improving the standardisation of real estate risk assessments to allow for insurance policies to be issued in a more simple manner.
Our starting point is to analyse the most important legal documents related to real estate, those held by the Land Registry. In directly partnering with HM Land Registry as a contributor, this project will benefit from access to registration and conveyancing experts, as well as knowledge of how the Land Registry data is structured. Off-the-shelf information extraction systems will not cope well with the tortuous sentence structure and specialist legal language contained in these documents, and so specialist techniques will need to be developed. Along with the creation of legal risk models through weighting the different rights and obligations extracted, this forms the basis of this project's technical innovation.
Project objectives include the development of Natural Language Processing (NLP - a subfield of AI) algorithms to extract legal rights and obligations from Land Registry documents (led by expert NLP researchers at the University of Southampton), the development of machine learning based legal risk models for property and land, and the development of a commercial strategy to exploit the project outputs in the legal, insurance, and wider real estate industries.
This project has a commercial focus specific to the legal and insurance markets, and is supported by Mishcon de Reya, a leading London law firm, and Lockton Companies, the largest privately held insurance broker in the world. These corporates who will provide specialist input on best commercialising the project outputs in the legal and insurance industries respectively, and be on-hand to advise the project to ensure maximum impact of its outputs.
Project partners
* Orbital Witness (project lead)
* HM Land Registry
Funder
* Innovate UK