Keynote Speaker I
Prof. Juan Manuel Corchado
Director - European IoT Digital Innovation Hub
Director - BISITE Research Group, University of Salamanca, Spain
President of the Air Institute, Spain
Speech Title: Efficiency and Reliability in Bringing AI into Transport and Smart Cities Solutions
Abstract: Artificial Intelligence revived in the last decade. The need for progress, the growing processing capacity and the low cost of the Cloud have facilitated the development of new, powerful algorithms. The efficiency of these algorithms in Big Data processing, Deep Learning and Convolutional Networks is transforming the way we work and is opening new horizons. Thanks to them, we can now analyse data and obtain unimaginable solutions to today’s problems. Nevertheless, our success is not entirely based on algorithms, it also comes from our ability to follow our “gut” when choosing the best combination of algorithms for an intelligent artefact. Their development involves the use of both connectionist and symbolic systems, that is to say data and knowledge. Moreover, it is necessary to work with both historical and real-time data. It is also important to consider development time, costs and the ability to create systems that will interact with their environment, will connect with the objects that surround them and will manage the data they obtain in a reliable manner.
In this keynote, the evolution of intelligent computer systems will be examined. The need for human capital will be discussed, as well as the need to follow one’s “gut instinct” in problem-solving.
Furthermore, the importance of IoT and Blockchain in the development of intelligent systems will be analysed and it will be shown how tools like "Deep Intelligence" make it possible to create computer systems efficiently and effectively. "Smart" infrastructures need to incorporate all added-value resources so they can offer useful services to the society, while reducing costs, ensuring reliability and improving the quality of life of the citizens. The combination of AI with IoT and with blockchain offers a world of possibilities and opportunities.
The development of transport, smart cities, urbanizations and leisure areas can be improved through the use of distributed intelligent computer systems. In this regard, edge computing platforms or fog computing help increase efficiency, reduce network latency, improve security and bring intelligence to the edge of the network, the sensors, users and the environment.
Several use cases of intelligent systems will be presented and it will be analysed how the processes of implementation and use have been optimized by means of different tools.
Bio:
Juan Manuel Corchado (born May 15, 1971 in Salamanca, Spain). He is Full Professor with Chair at the University of Salamanca. He was Vice President for Research and Technology Transfer from December 2013 to December 2017 and the Director of the Science Park of the University of Salamanca, Director of the Doctoral School of the University until December 2017 and also, he has been elected twice as the Dean of the Faculty of Science at the University of Salamanca. In addition to a PhD in Computer Sciences from the University of Salamanca, he holds a PhD in Artificial Intelligence from the University of the West of Scotland. Juan Manuel Corchado is Visiting Professor at Osaka Institute of Technology since January 2015, Visiting Professor at the Universiti Malaysia Kelantan and a Member of the Advisory group on Online Terrorist Propaganda of the European Counter Terrorism Centre (EUROPOL).
Corchado is the Director of the European IoT Digital Innovation Hub and of the BISITE (Bioinformatics, Intelligent Systems and Educational Technology) Research Group, which he created in the year 2000, President of the AIR Institute, Academic Director of the Institute of Digital Art and Animation of the University of Salamanca and has been President of the IEEE Systems, Man and Cybernetics Spanish Chapter. He also oversees the Master´s programs in Digital Animation, Security, Blockchain, IoT, Mobile Technology, Information Systems Management and Agile Project Management at the University of Salamanca.
Corchado has supervised more than 25 PhD theses, is author of over 800 research peer review papers and books, has chaired the scientific committee of more than 30 international conferences, and is also Editor-in-Chief of Specialized Journals like ADCAIJ (Advances in Distributed Computing and Artificial Intelligence Journal) and OJCST (Oriental Journal of Computer Science and Technology). Personal blog: http://corchado.net/.
Keynote Speaker II
Professor Raja Sengupta
Civil and Environmental Engineering, University of California, Berkeley, USA
Bio.: Raja Sengupta is Professor in the Systems Engineering Program, Civil & Environmental Engineering at UC Berkeley. He holds an EECS Ph.D. from the University of Michigan. His research has spanned automated cars, drones, connected cars, smartphone Apps for Economics & Transportation, wireless networking, and control theory. He likes to do research with industry and get it into the marketplace. He holds car-to-road networking patents with Toyota, a UAV patent with BAE Aerospace, and has car-to-car networking contributions standardized by the SAE into J2945. He created technology for the successful start-up automatic.com and is now the founder and CEO of responsiblerobotics.com. He has been an advisor to the World Bank, recipient of USDOT's Connected Vehicle Technology award 2011, UC Berkeley's Energy and Climate Lectures Innovation Award 2014, and has authored over a hundred papers spanning control theory, networking, drones, and transportation.
Keynote Speaker III
Prof. Petros Ioannou, Ph.D., A.V. ‘Bal’ Balakrishnan Chair
University of Southern California, Los Angeles, CA, The USA
Speech Title: Traffic Flow Control In a Connected Environment
Abstract: Self- Driving cars are attracting a lot of attention and excitement as they will impact driving comfort and safety as well as modify the current modes of transporting people and goods. Getting rid of the driver, however, will not necessarily reduce congestion whose main cause is the high volume of vehicles competing in space and time to reach destinations. Connectivity however and compliance to traffic management commands and traffic rules by vehicle autopilots will open the way for far better traffic flow control approaches with strong potential to improve capacity, manage congestion and incidents in a much more effective way.
In this talk, we present several control techniques that can be used to control traffic in a connected environment where vehicles can communicate with the infrastructure. The control techniques involved combined lane change and variable speed control strategies which are analytically shown to effectively control congestion at bottlenecks. Microscopic simulations of traffic in a road network in Southern California near the ports of Los Angeles and Long beach are used to demonstrate the results and quantify the benefits of traffic control.
Bio: Petros A. Ioannou received a B.Sc. degree with First Class Honors from University College, London, England, in 1978, and the M.S. and Ph.D. degrees from the University of Illinois, Urbana, Illinois, in 1980 and 1982, respectively. In 1982, Dr. Ioannou joined the Department of Electrical Engineering-Systems, University of Southern California, Los Angeles, California. He is currently a Professor in the same Department and holds the A.V. ‘Bal’ Balakrishnan Chair. He is the Director of the Center of Advanced Transportation Technologies and Associate Director for Research of METRANS, a University Transportation Center. He also holds a courtesy appointment with the Department of Aerospace and Mechanical Engineering and the Department of Industrial Engineering. Dr. Ioannou was the recipient of the Outstanding Transactions Paper Award by the IEEE Control System Society in 1984 and the recipient of a 1985 Presidential Young Investigator Award for his research in Adaptive Control. In 2009 he received the IEEE ITSS Outstanding ITS Application Award and the IET Heaviside Medal for Achievement in Control by the Institution of Engineering and Technology (former IEE). In 2012 he received the IEEE ITSS Outstanding ITS Research Award and in 2015 the 2016 IEEE Transportation Technologies Award. Dr. Ioannou is a Fellow of IEEE, Fellow of International Federation of Automatic Control (IFAC), Fellow of the Institution of Engineering and Technology (IET), Fellow of AAAS and the author/co-author of 8 books and over 400 research papers in the area of controls, vehicle dynamics and control, and intelligent transportation systems.
Prof.Markos Papageorgiou
School of Production Engineering and Managament
Technical University of Crete
73100 Chania, Greece
Speech Title: Lane-free Artificial-Fluid Environment for Vehicular Traffic (TrafficFluid)
Abstract: The ERC Advanced Grant TrafficFluid (2019-2024) launches a novel paradigm for vehicular traffic in the era of connected and automated vehicles (CAVs), which is based on two combined principles: lane-free traffic and vehicle nudging. This provides the possibility to actively design (rather than merely describe or model) the traffic flow characteristics in an optimal way, i.e. to engineer the future CAV traffic flow as an efficient artificial fluid.
Bio: Markos Papageorgiou received the Diplom-Ingenieur and Doktor-Ingenieur degrees in Electrical Engineering from the Technical University of Munich, Germany, in 1976 and 1981, respectively. He was a Free Associate with Dorsch Consult, Munich (1982-1988), and Scientific Advisor with Institute National de Recherche sur les Transports et leur Sécurité (INRETS), Arcueil, France (1986-1997). From 1988 to 1994 he was a Professor of Automation at the Technical University of Munich. Since 1994 he has been a Professor at the Technical University of Crete, Greece. He was a Visiting Professor at Politecnico di Milano, Ecole Nationale des Ponts et Chaussées, MIT, University of Rome La Sapienza and Tsinghua University; Honorary Visiting Professor at University of Belgrade; and a Visiting Scholar at the University of California at Berkeley. His research interests include automatic control and optimisation theory and applications to traffic and transportation systems, water systems and further areas. He served as Editor-in-Chief of Transportation Research – Part C (2005-2012). He is a Life Fellow of IEEE and a Fellow of IFAC. He received several distinctions and awards, including the 2020 IEEE Transportation Technologies Award, and two ERC Advanced Investigator Grants.