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Prof. Dr. Raffaele Mezzenga
ETH Zurich, Switzerland

Raffaele Mezzenga received his PhD from EPFL Lausanne in 2001 and spent 2001-2002 as a postdoctoral scientist at University of California, Santa Barbara, working on the self-assembly of polymer colloids. In 2003 he moved to the Nestlé Research Center in Lausanne as research scientist, working on the self-assembly of surfactants, natural amphiphiles and lyotropic liquid crystals. In 2005 he was hired as Associate Professor in the Physics Department of the University of Fribourg, and he then joined ETH Zurich on 2009 as Full Professor. His research focuses on the fundamental understanding of self-assembly processes in polymers, lyotropic liquid crystals, food and biological colloidal systems. Prof. Mezzenga has been recipient of several national and international distinctions such as the 2011 AOCS Young Scientist Research Award, the 2013 Dillon Medal and the 2017 Fellowship of the American Physical Society, the Biomacromolecules/Macromolecules 2013 Young Investigator Award of the American Chemical Society, the 2004 Swiss Science National Foundation Professorship Award and the 2018 Spark Award.

Title: Amyloid-guided assembly of photovoltaic cells

Abstract: Amyloid fibrils have emerged as unchallenged building blocks for advanced materials and demanding technologies, ranging from water purification, to material templating, to optoelectronic applications. In this talk, I will discuss how amyloid fibrils can direct the synthesis of inorganic nanoparticles, such as, for example. Titanium Dioxide (TiO2) nanowires. Amyloid fibrils act as templates to generate closely packed TiO2 nanoparticles on the surface of the fibrils resulting in the TiO2–coated amyloid hybrid nanowires. These hybrid amyloid fibrils are then complexed with a water‐soluble semiconductive polythiophene (P3HT), where TiO2 nanowires behave as electron acceptor and P3HT as electron donor. By doing so, amyloid‐TiO2 hybrid nanowires are designed with possible application as heterojunctions in photovoltaic devices. The photovoltaic performance is demonstrated by spin coating the colloidal dispersion of polythiophene‐coated fibrils and amyloid‐TiO2 hybrid nanowires as active photovoltaic layer. The current–voltage characteristics, the fill factor, the photovoltaic current density and power conversion efficiency all point to a possible use of amyloid‐based templates in photovoltaic solar cells.

Prof. Dr. Kaddour Bouazza-Marouf
School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, UK



Prof. Dr. Khedo Kavi Kumar
Faculty of Information, Communication and Digital Technologies, University of Mauritius, Mauritius

Dr. Kavi Kumar Khedo is the Dean of Faculty of Information, Communication and Digital Technologies at the University of Mauritius and has a PhD in Computer Science. He has more than 18 years of teaching and research experience in the field of computer science. Dr. Khedo is a Fellow of the Institute of Engineering and Technology (IET) and a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE). He is currently leading the Internet of Things Research Group and the Health Informatics Research Group of the University of Mauritius. He is committed to carrying out cutting-edge applied research that has real societal, environmental, and economic impact. Dr. Khedo was a research scholar at the University of Lancaster UK and a Fulbright research scholar at the University of Massachusetts USA. He has published over 60 research papers on mobile computing, ubiquitous computing, health informatics, and wireless sensor networks in renowned journals and has presented his research at several international conferences. He has also served on numerous editorial boards of distinguished international journals such as IEEE Internet of Things Journal, IEEE Sensors, IEEE Transactions on Learning Technologies, SAGE Health Informatics Journal, IET Wireless Sensor Systems, SPRINGER Health and Technology Journal, WILEY International Journal on Communication Systems

Title: At the intersection of IoT, Big Data and AI: Trends and Open Challenges

Abstract: The Internet of Things (IoT), Big Data and Artificial Intelligence (AI), the tech trinity, have independently contributed to key developments in the tech industry in the last few years. We are now witnessing a paradigm shift which is ‘convergence’. To understand this shift, we should consider all three contributing phenomena together, rather than separately. The convergence of IoT, big data and AI should not be ignored, as it could mean great things for businesses and the society in the future. Indeed, the explosion of IoT, big data and AI is changing the definition of what an application is and leading us to the next generation of intelligent applications. The use of AI for decision making in IoT and data analytics will be crucial for efficient and effective decision making, especially in the area of streaming data and real-time analytics associated with edge computing networks. As we are still very much in the early stages of the relationship between IoT, big data and AI there is still a lot to come from this tech trinity. Advances are constantly being made that will both benefit businesses and our daily lives. This keynote address will discuss the convergence of the three technologies and the resulted trends and open challenges.

Prof. Dr. Dragorad A. Milovanovic
Faculty of Electrical Engineering, University of Belgrade, Republic of Serbia, Serbia

Title: What 5G has been and what should 5G+ be?

Abstract: The keynote is a comprehensive summary of the most inspiring aspects of 5G mobile networks. In addition, I present the latest findings on the promising 6G technology towards a world of fully digital connectivity. The key determinants are extreme system performance and combinations of requirements for new use cases. A study new performance targets beyond 5G are presented in two stages: 5G+ evolution and new 6G step. Relevant technologies considered too immature for 5G or outside the defined scope are outlined. To justify a vision of future mobile networks, I point out the need for closer collaborations of academia, standardizing bodies, industrial organizations and governments. The contribution strategy is gradual evolution and performance enhancement of mobile communications. Finally, I identify challenges and directions on network technology roadmap toward 6G.