Webinars with IEEE Region 8 Director-Elect Candidates: Prof. Vincenzo Piuri and Prof. Igor Kuzle
Prof. Vincenzo Piuri : Webinar “Ambient intelligence for smart living” 3:00 PM BST
Adaptability and advanced services for ambient intelligence require an intelligent technological support for understanding the current needs and the desires of users in the interactions with the environment for their daily use, as well as for understanding the current status of the environment also in complex situations. This infrastructure constitutes an essential base for smart living. Various technologies are nowadays converging to support the creation of efficient and effective infrastructures for ambient intelligence.
Artificial intelligence can provide flexible techniques for designing and implementing monitoring and control systems, which can be configured from behavioural examples or by mimicking approximate reasoning processes to achieve adaptable systems. Machine learning can be effective in extracting knowledge form data and learn the actual and desired behaviours and needs of individuals as well as the environment to support informed decisions in managing the environment itself and its adaptation to the people’s needs.
Biometrics can help in identifying individuals or groups: their profiles can be used for adjusting the behaviour of the environment. Machine learning can be exploited for dynamically learning the preferences and needs of individuals and enrich/update the profile associated either to such individual or to the group. Biometrics can also be used to create advanced human-computer interaction frameworks.
Cloud computing environments will be instrumental in allowing for world-wide availability of knowledge about the preferences and needs of individuals as well as services for ambient intelligence to build applications easily.
This talk will analyse the opportunities offered by these technologies to support the realisation of adaptable operations and intelligent services for smart living in an ambient intelligent infrastructures.
Vincenzo Piuri (http://vincenzopiuri.org/) has received his Ph.D. in computer engineering at Politecnico di Milano, Italy (1989). He is Full Professor in computer engineering at the Università degli Studi di Milano, Italy (since 2000). He has been Associate Professor at Politecnico di Milano, Italy and Visiting Professor at the University of Texas at Austin and at George Mason University, USA.
His main research interests are: artificial intelligence, computational intelligence, intelligent systems, machine learning, pattern analysis and recognition, signal and image processing, biometrics, intelligent measurement systems, industrial applications, digital processing architectures, fault tolerance, dependability, cloud computing and internet-of-things infrastructures. Original results have been published in more than 400 papers in international journals, proceedings of international conferences, books, and book chapters.
He is Fellow of the IEEE, Distinguished Scientist of ACM, and Senior Member of INNS. He is President of the IEEE Systems Council (2020-21). He has been IEEE Vice President for Technical Activities (2015), IEEE Director, President of the IEEE Computational Intelligence Society, Vice President for Education of the IEEE Biometrics Council, Vice President for Publications of the IEEE Instrumentation and Measurement Society and the IEEE Systems Council, and Vice President for Membership of the IEEE Computational Intelligence Society.
He has been Editor-in-Chief of the IEEE Systems Journal (2013-19), and Associate Editor of the IEEE Transactions on Computers, the IEEE Transactions on Neural Networks, the IEEE Transactions on Instrumentation and Measurement, and IEEE Access. He is Associate Editor of the IEEE Transactions on Cloud Computing.
He received the IEEE Instrumentation and Measurement Society Technical Award (2002) and IEEE TAB Hall of Honor (2019). He is Honorary Professor at: Obuda University, Hungary; Guangdong University of Petrochemical Technology, China; Northeastern University, China; Muroran Institute of Technology, Japan; and the Amity University, India.
Prof. Igor Kuzle: Webinar “Fast frequency control in low-inertia power systems” 4:00 PM BST
The integration rate of low-carbon technologies such as renewable energy sources and energy storage units (ESU) in the electric power system (EPS) is significantly increasing. These technologies are almost exclusively interfaced with the EPS via power electronic interface (power converters) which enable flexible control and electricity generation at nominal EPS frequency. Furthermore, the same trend is observed on the consumption side in which power system loads are increasingly being controlled through power electronics.
The consequence of an increased share of converter-interfaced technologies is the reduction of power system inertia and the increased impact of fast converter dynamics on the dynamic behavior of EPS. Thus, the traditional assumption that grid inertia is sufficiently high with only slight variations over time is therefore not valid in the modern power systems, which become low-inertia systems where frequency dynamics are faster making frequency control and power system operation more challenging. The lecture considers the challenges of such low-inertia power systems and the possible set of solutions that can be applied to address them.
Igor Kuzle (http://igorkuzle.org/) is a Full Professor and the Head of the Department of Energy and Power Systems at the University of Zagreb Faculty of Electrical Engineering and Computing. He is member of two scientific councils of the Croatian Academy of Sciences and Arts (Scientific Council for Technological Development and Scientific Council for Crude Oil and Gas Economy and Power Supply). Since 2017, he has been an associate member of the Croatian Academy of Engineering.
Prof. Kuzle was awarded the highest Croatian National Science Award for the year 2018 for his outstanding contribution in the field of smart grid applications in the transmission system. He was given by Croatian Academy of Sciences and Arts the award for his excellence in the technical field in the year 2019. The Award recognizes the work in the field of application of different control concepts to increase power system flexibility and enable further integration of renewable energy sources. In 2016, he received annual Faculty of Electrical Engineering and Computing award for Science – for outstanding achievement in research work or innovations in the last five years in the field of smart grids flexibility.
His scientific interests include problems in electric power systems dynamics and control, maintenance of electrical equipment, as well as smart grids and integration of renewable energy sources.
Prof. Kuzle is (co)author more than 300 technical studies for utilities and companies. He was the project leader for more than 80 technical projects for industry and electric power companies. Since 2012, he has been a member of Advisory expert committee of the Ministry of Environmental and Nature Protection in the evaluation of environmental impact of the RES and a member of Croatia TSO Coordination Group for Connection of renewable energy sources. He is a member of Croatian Chamber of Electrical Engineers and a Licensed Engineer since 1994.