Rarely occurring solar superstorms generate X-rays and solar radio bursts, accelerate solar particles to relativistic velocities and cause major perturbations to the solar wind. These environmental changes can cause detrimental effects to the electricity grid, satellites, avionics, air passengers, signals from satellite navigation systems, mobile telephones and more. They have consequently been identified as a risk to the world economy and society. This paper will review their impact on a variety of engineered systems and will identify ways to prepare for these low probability but randomly occurring events.
Explosive eruptions of energy from the Sun that cause minor solar storms on Earth are relatively common events. In contrast, extremely large events (superstorms) occur very occasionally – perhaps once every century or two. Most superstorms miss the Earth, travelling harmlessly into space. Of those that do travel towards the Earth, only half interact with the Earth’s environment and cause damage. Since the start of the space age, there has been no true solar superstorm and consequently our understanding is limited. There have, however, been a number of near misses and these have caused major technological damage, for example the 1989 collapse of part of the Canadian electricity grid. A superstorm which occurred in 1859, now referred to as the ‘Carrington event’ is the largest for which we have measurements; and even in this case the measurements are limited to perturbations of the geomagnetic field. How often superstorms occur and whether the above are representative of the long term risk is not known and is the subject of important current research. The general consensus is that a solar superstorm is inevitable, a matter not of ‘if’ but ‘when?’. One contemporary view is that a Carrington-level event will occur within a period of 250 years with a confidence of ~95% and within a period of 50 years with a confidence of ~50%, but these figures should be interpreted with considerable care.
Mitigation of solar superstorms necessitates a number of technology-specific approaches which boil down to engineering out as much risk as is reasonably possible, and then adopting operational strategies, based on scientific understanding, to deal with the residual risk. In order to achieve the latter, space and terrestrial sensors are required to monitor the storm progress from its early stages as enhanced activity on the Sun through to its impact on Earth. Forecasting a solar storm is a challenge, but there are growing efforts to improve those techniques. Irrespective of forecasting ability, space and terrestrial sensors of the Sun and the near space environment provide critical space situational awareness, an ability to undertake post-event analysis, and the infrastructure to improve our understanding of this environment.
This lecture will explore a number of current and emerging technologies and demonstrate that global society and economies are indeed vulnerable to a solar superstorm, and that in a ’perfect storm’, a number of these technologies will be simultaneously affected thereby exacerbating the impact. Mitigating and maintaining an awareness of the individual and linked risks over the long term is a challenge for both government and for asset owners.
Paul Cannon OBE, FREng, FURSI, FIET, FISC, MAGU, BSc, MSc, PhD is a physicist and an electronic engineer who works at the interface of the two disciplines. He is an emeritus professor at the University of Birmingham in the UK but spent the majority of his working life in government research laboratories and industry. Since joining the University of Birmingham in 2013, he has been a regular advisor to government departments and science advisors. His leadership of studies and authorship of reports on extreme space weather have guided the development of government policy in both Australia and the UK.
He was elected a Fellow of the Royal Academy of Engineering in 2003, appointed to the Order of the British Empire (OBE) in 2014 and served as the President of the International Union of Radio Science (URSI) from 2014 to 2017. In 2023 he was awarded the Rawer Gold Medal by URSI.
Dr. Cannon has made numerous contributions to radio science and space weather especially in the fields of ionospheric radio propagation and measurement and real-time modelling of the ionosphere. He has specialised in combining knowledge of radio systems with knowledge of the ionospheric medium and radio propagation to develop new and novel science and engineering solutions.
Paul’s research has had long lasting significance on a number of occasions. For example, his instrumentation has been used operationally by the UK Armed Forces and his measurements of the HF propagation channel underpinned the development of the robust HF communications modem standard used throughout NATO. He now works as co-investigator of two of the UK Space Weather Instrumentation, Measurement, Modelling and Risk (SWIMMR) projects and is co-investigator of a project developing a new Over the Horizon Radar (OTHR) architecture, based on his patent.
Space Environment and Radio Engineering
School of Engineering
University of Birmingham
Brain and neuroactivity are inarguably characterized by a stunning complexity: several billion neurons at the microscopic level matched by strongly varying and fuzzy-behaving material properties at the macroscopic level. This notwithstanding, the challenge of brain analysis, mapping, imaging, and modeling has been embraced by many multidisciplinary scientific communities worldwide, it has been targeted by two of the largest funding schemes in the United States and Europe, and it has become a very popular topic of both Earth and Brain hemispheres.
Complexity, however, calls for complexity and it is not surprising that every discipline that tackles its own share of the “brain challenge” is obliged to show-off the best of its arsenal. Modern neuroimaging tools are computationally intensive devices where a large part of the imaging process is underpinned by advanced tools in the physical modeling of brain electric propagation. Innovations in computational methods as well as in advanced modeling tools and strategies are the focus of several cross-disciplinary research efforts in computational physics and engineering. When it comes to Computational Electromagnetics this arsenal is peculiarly rich! This is especially true when the target is functional neuroimaging: the mapping and modeling of the electro-chemical neuroactivity and of the associated brain connectivity.
This talk will present some of the most recent strategies and advances in the field of Computationally Empowered Neuroimaging strategies, i.e. technologies for brain diagnostics, therapy, and interaction where computational power, advanced algorithmics, and ad-hoc platforms have paved the way for exciting new discoveries, therapeutic advances, and impactful applications. Current trends and open Grand Challenges will be delineated together with past achievements and current research efforts. Without over-indulging in technicalities, this talk will present recent discoveries at the theoretical and experimental level always in combination with their promising applications in diagnostics, mind-machine interfaces, and immersive neurofeedback.
Francesco P. Andriulli received the Laurea in electrical engineering from the Politecnico di Torino, Italy, in 2004, the MSc in electrical engineering and computer science from the University of Illinois at Chicago in 2004, and the PhD in electrical engineering from the University of Michigan at Ann Arbor in 2008. From 2008 to 2010 he was a Research Associate with the Politecnico di Torino. From 2010 to 2017 he was an Associate Professor (2010-2014) and then Full Professor with the École Nationale Supérieure Mines-Télécom Atlantique (IMT Atlantique), Brest, France. Since 2017 he has been a Full Professor with the Politecnico di Torino, Turin, Italy. His research interests are in computational electromagnetics including frequency- and time-domain integral equation solvers, well-conditioned formulations, fast solvers, low-frequency electromagnetic analyses, and modeling techniques for antennas, wireless components, microwave circuits, and biomedical applications with a special focus on brain imaging.
Prof. Andriulli received several best paper awards at conferences and symposia (URSI NA 2007, IEEE AP-S 2008, ICEAA IEEE-APWC 2015) also in co-authorship with his students and collaborators (ICEAA IEEE-APWC 2021, EMTS 2016, URSI-DE Meeting 2014, ICEAA 2009) with whom received also a second prize conference paper (URSI GASS 2014), a third prize conference paper (IEEE–APS 2018), seven honorable mention conference papers (ICEAA 2011, URSI/IEEE–APS 2013, 4 in URSI/IEEE–APS 2022, URSI/IEEE–APS 2023) and other three finalist conference papers (URSI/IEEE-APS 2012, URSI/IEEE-APS 2007, URSI/IEEE-APS 2006, URSI/IEEE–APS 2022)). Moreover, he received the 2014 IEEE AP-S Donald G. Dudley Jr. Undergraduate Teaching Award, the triennium 2014-2016 URSI Issac Koga Gold Medal, and the 2015 L. B. Felsen Award for Excellence in Electrodynamics.
Prof. Andriulli is a Fellow of the IEEE and of the International Union of Radio Science (URSI), and a member of Eta Kappa Nu, Tau Beta Pi, and Phi Kappa Phi. He is the Editor-in-Chief of the IEEE Antennas and Propagation Magazine, he serves as a Track Editor for the IEEE Transactions on Antennas and Propagation, and as an Associate Editor of URSI Radio Science Letters. He served as an Associate Editor for the IEEE Antennas and Wireless Propagation Letters, IEEE Access, and IET-MAP.
Electrical engineering
Full Professor – Politecnico di Torino, Turin, Italy
Administration and Management
Mrs. Manuela Trinchero
SELENE Srl – Eventi e Congressi
Via Medici 23 – 10143 Torino, Italy
Ph +39 011 7499601
E-mail: iceaa@seleneweb.com
For info about paper submission
and technical program please write to
Prof. Guido Lombardi
Politecnico di Torino
E-mail: iceaa2025@polito.it