Mike Ashcroft received his PhD from the University of Melbourne, Australia, in 2009 and since then has accumulated extensive high level experience in artificial intelligence and advanced machine learning (including deep learning) in both industry and academia. Based at Uppsala University in Sweden, there he lectures on Artificial Intelligence and Machine Learning and supervises Masters and PhD students in statistical machine learning. He has participated in related research projects with Uppsala University, the European Data Science Academy and the Swedish Defence Research Institute, among others.
As well as his academic experience, Mike has founded and run for nearly 10 years an AI consultancy company that has worked with major European companies, government organizations and successful start-ups to set up and lead AI/data science teams, manage advanced AI/data science projects, and develop AI/data science organizational strategies. This has included supporting European and international startups with their development of AI strategies and procurement of venture capital in Europe and the United States.
You can see some of his courses online, including the “Advanced Machine Learning” course on Future Learn, “The Essentials of Data Analytics and Machine Learning” on the European Data Science Academy, and ‘Mastering Keras’ on Packt (forthcoming).
Hatim I. Elsayed
Hatim I. Elsayed (M’99-SM’05) has PhD in Smart Energy Systems/Online Power Electronics and MSc in Information/Control Engineering from the City University, London, (in 2014 & 1995 respectively) and BSc (honors) in Electrical Engineering from University of Khartoum, in 1988. He is a Senior Member in the IEEE, USA, Chartered Engineer (CEng) with the British Engineering Council and member in the IET, UK. At present he is a Consultant and ex-Head of Operational Planning at GCCIA (Gulf Cooperation Council Interconnection Authority), Dammam, KSA (2014-Present), A/Head of Electricity Transmission Planning, at Qatar General Electricity & Water Corporation- Kahramaa (2003-2014), Head of Planning & Studies Unit at AADC, ADWEA of Abu Dhabi (2000-2003), Resident Electrical Engineer with Mott Macdonald at UK and UAE (1993-2000).
Abstract: Digitalization in Energy Sector focuses on the application of trends like, Data, Artificial Intelligence, Block chain, Customer Relation Management (CRM), Internet of Things (IoT), Digital Asset Management. There are other involved technologies like Market design and Model with new Energy Markets / products, Implications on Energy Sector (strategies, policies), Business Model. Trends like, big data, digital twins and IoT are increasingly receiving recognition. There are critical issues related to the way data is generated, organized, processed and shared, not limited only to the Artificial Intelligence, but also to the Data Architecture, IT solutions. Data Integration is using integration platforms to exchange data between organizations. The Digitalization process can include issues like speech-to-text conversion, personal assistants, natural language processing for supporting the control center operation in the theme “Artificial Intelligence”. IoT is concerned with inter-networking devices physically by equipping them with sensors and network connected devices. On higher level IoT is considered as a tool for leading business transformation more than a mere technology. IoT can master the digitalization of energy sector by exploiting digital capabilities, leadership and enablers within the power utilities. Block chain can be used in power systems to help with renewable generation integration, customer connection of new energy producing and storing equipments. In the Digitalization Transform, management of customer relations CRM is paramount, utilizing tools like mobile apps platforms, on-line self-service, user experience, robot-advice platform. Initiative for the digitization of grids aims at improving aspects of planning, design, operations, maintenance and marketing. The objective is to explore the drivers behind the issue, the current mechanism that is applied, how will digitization help address this issue. The topic can highlight effort& work done, effects analysis, case studies, investigations, mechanism, framework, features, impacts to business and stakeholders.
Vic Grout, Professor of Computing Futures, UK
Vic Grout has degrees in Mathematics (BSc, Exeter, UK) and Engineering (PhD, Plymouth, UK) and has worked for over 30 years in various senior positions In Computing, Computer Science and Internet academia and industry. Over his career he has been a Fellow of the IET, BCS, IMA and RSA and a senior member of the IEEE and ACM. Other roles have included Senior Systems Analyst, Research Fellow, Head of Computing, Dean of Research, Professor of Network Algorithms and Chair of the Welsh Council of Professors and Heads of Computing. He is currently Professor of Computing Futures at Wrexham Glyndŵr University in North Wales.
Dr. Grout is a professional ‘futurist’ investigating both emerging and future technologies and their wider social, ethical, legal, political, environmental and economic impact. His work ranges from multi-million Euro projects using Internet hardware to enable the elderly and disabled to lead longer independent lives, through designing complex engineering design optimisation software, to advising the European Commission on ethical concerns relating to funded research projects. He has authored over 400 research papers and four books on these topics, edits the ‘Turing’s Radiator’ (vicgrout.net) blog on technological philosophy and appears regularly on radio and TV. His debut science-fiction novel, ‘Conscious’, was published in 2017.
Title: Privacy and Security in Our AI, Big Data, IoT-Connected Future?
We are currently witnessing almost daily advances in disciplines such as artificial intelligence, robotics and automation, big data analytics and network connectivity – including the emergent Internet of Things. Although it may be possible to make technological forecasts for a few years hence in each of these fields individually, trying to predict the complete AI-controlled, automated, big-data-driven, 24/7/anywhere, IoT-connected future as a whole is very difficult indeed. Visioning the wider social impact of the technology is next to impossible!
But, by restricting our scope somewhat, we will try! This talk will focus mainly on privacy and security and consider the effects of various emergent hardware and software, both separately and in combination. It will discuss two essentially overlapping questions: how can developing technologies protect our privacy and enable security … and how might they be threats? As more and more of our data goes online, how can we keep it secure? AI and big data analytics may one day know more about us than we know about ourselves: are we OK with that? Ultimately, can we have any privacy at all? The IoT, when it works, will simplify every aspect of our lives but who will stand to account when it goes wrong? When we put it all together, who will the real winners and losers be?
This talk is part of an ongoing project reflected in a journal special edition (mdpi.com/journal/information/special_issues/End_of_Privacy) to which conference delegates are welcome to contribute.