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 and Visiting Professor at the Universiti Malaysia Kelantan. 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 30 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).
Abstract: This keynote will present success stories regarding specially smart cities. All these fields require the development of interactive, reliable and secure systems which we are capable of building thanks to current advances. Deepint.net, a tool developed by DCSc and BISITE will be presented. Several use cases of intelligent systems will be presented and it will be analysed how the different processes have been optimized by means of tools that facilitate decision-making. 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. It's about approaching engineering with a lot of knowledge and tact. This involves the use of both connectionist and symbolic systems, and of having a full understanding of the algorithms used. Moreover, to address today’s problems we must work with both historical and real-time data. We must fully comprehend the problem, its time evolution, as well as the relevance and implications of each piece of data, etc. 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 emphasised, as well as the need to follow one’s “gut instinct” in problem-solving. We will look at the benefits of combining information and knowledge to solve complex problems and will examine how knowledge engineering facilitates the integration of different algorithms. Furthermore, we will analyse the importance of complementary technologies such as IoT and Blockchain in the development of intelligent systems. 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 use of edge platforms or fog computing helps increase efficiency, reduce network latency, improve security and bring intelligence to the edge of the network; close to the sensors, users and to the medium used.
Prof. Kazuya Takeda is working in the field of signal processing technology research for acoustic, speech and vehicular applications. In particular, understanding human behavior through data centric approaches utilizing signal corpus in real world has been his main interest. Prof. Takeda is a Professor and a Vice President at the Nagoya University, Japan. He received his B.E.E., M.E.E. and Ph.D in 1983, 1985 and 1995, respectively from Nagoya University. After graduating from the university, he worked for ATR and KDD R&D Lab. He visited MIT as a visiting scientist before joined in Nagoya University in 1995. He is a fellow of IEICE (the Institute of Electronics, Information and Communications Engineers) and a senior member of IEEE. Prof. Takeda has served as an academic leader in various signal processing fields. Currently, he is a BoG (Board of Governors) member of the IEEE ITS Society, the Asia-Pacific Signal and Information Processing Association (APSIPA). He served as a general chair of FAST-zero 2017, Universal Village 2016 and as a program chair of IEEE ICVES 2009, IEEE ITSC 2017 and other scientific meetings. He is serving as the general chair of IEEE Intelligent Vehicle Symposium (IV2021), which is a flagship conference of the Society. He is a co-founder and director of the university startup "Tier IV”, a company which is aiming to democratize autonomous driving technologies through developing the open-source software platform, Autoware. He has published more than 150 journal papers, 8 co-authored/co-edited books and 15 patents. He received 2020 IEEE ITS Society Outstanding Research Award. He is also winner of 6 best paper awards from IEEE international conferences and workshops in addition to domestic awards.
Abstract: Mobility and communications are the most fundamental activities of human society and have continuously evolved to be more efficient, safer and more comfortable. Intelligent vehicles therefore are definitely going to play central roles in the future smart city. The key message of my talk is the impact of an open technology platform of Autonomous Driving for the future smart cities. In the talk, an open-source AD Kit Autoware will be introduced which works as the de facto used in more than 500 companies/universities globally. This was achieved only five years after its launch as a university project. More than 40 companies get together under the umbrella of the Autoware Foundation (AWF), and are jointly developing the state-of-the-art AD softwares, sensors/CPUs, maps and fleet management systems. Autoware provides open access to AD technology such that everyone, from individuals to organizations, form a sustainable ecosystem that contributes to and applies AD technology to Intelligent Vehicles for the benefit of society. This democratization of autonomous driving technology invites a diverse set of players to participate and share a knowledge base of the social aspects of autonomous driving, to a greater degree than any single organization can achieve alone. I hope this talk will inspire engineers and researchers in the other fields and accelerate the social deployment of their technologies.
Prof. Ir Dr. Lim Yun Seng received his early education in Kota Kinabalu, Sabah before he pursued his undergraduate studies in Electrical and Electronic Engineering at the University of Manchester Institute of Science and Technology (UMIST), United Kingdom, in 1998. Subsequently, Lim pursued his Ph.D. at UMIST in the area of power system from September 1998 to September 2001. In 2002, he worked as a postdoctoral research assistant at UMIST in the area of renewable energy. In 2003, he joined Econnect Ltd, United Kingdom as an R&D Engineer specialising in research on the integration of renewable energy sources with the power system networks. Dr. Lim started his academic career at Universiti Tunku Abdul Rahman (UTAR) in 2005. Over the past 9 years, Dr. Lim has secured 11 external research grants from The Ministry of Green Technology, Water and Communication, The Ministry of Science, Technology and Innovation as well as The Ministry of Higher Education for the research projects on smart grid and renewable energy. The total amount of research grants received so far is RM 4.33 million or USD 1.23 million. Dr. Lim has published 24 international journals with the total citations of 264 at h-index of 7. He has filed 4 patents on his inventions. One of the patents is filed with the Chinese State Intellectual Property Office. Of all his 12 postgraduate students, Dr. Lim has successfully graduated 7 postgraduate students so far. He has carried out 12 consultancy projects for various industries, universities and engineering societies with the total fees of RM 33,000.00. Dr. Lim won 16 international and national awards such as Gold Medal in 2013 International Invention & Innovation Exhibition, KASS Best Invention of the year 2012 and UTAR Best Invention of the year 2013. Dr. Lim has consistently received good teaching scores from his students for teaching energy-related subjects in the undergraduate and Master courses. Dr. Lim is a professional engineer with Practising Certificate and CEng registered with Board of Engineer Malaysia and UK Engineering Council respectively. He is the full member of IET, IEM and also the senior member of IEEE. He is also the Fellow of ASEAN Academy of Engineering and Technology (AAET).
Abstract: Through funding received from the government and British Council (AAIBE, CREST and Newton Fund), Prof Lim has successfully built the first working utility-scale grid-integrated Energy Storage System (ESS) at the rating of 400 kW and 780 kWh in Malaysia on UTAR campus (commercial building) under a real operating environment to reduce the daily peak demands with the intermittent power output of renewable energy sources. UTAR saved RM18,500 for electricity bills per year due to the reduction of monthly maximum demand charges. The utility company, TNB, saved about RM 91,000 per year from the deferment of network reinforcement and power plants. In addition, about 16 tonnes of CO2 were avoided per year due to the relatively low maximum demands on power networks. With such ESS, TNB can avoid any increase in electricity price (RM/kWh) for its customers, hence propelling the growth of the national’s economy. This project was carried out in collaboration with Newcastle University (UK) and industries such as Hoppecke and ERS Energy. Four patents (2 Malaysia and 2 Indonesia patents) were generated from this work in addition to 20 journal papers being published and 8 postgraduate students successfully graduated. The technology readiness is at category 6 which is ready now ready for commercialisation. Lim founded a spin-off company, IoT Energy S/B, to design homegrown large-scale energy storage system for utility companies and customers. The awards received for this project include National Outstanding Innovator Award 2017, Top Research Scientist Malaysia 2018 and Gold Award in Pecipta 2019. This project has attracted the attention of the key industries. The managing director of Tenaga Switchgear, Datuk Mohd Hisham Ab. Halim and his team visited the project on 10th Feb 2020. R&D manager of Sarawak Energy Berhad, Dr Ng Sing Muk, and his team visited the project on 7th Jan 2020 with a view to adopt this low cost, highly efficient novel technology in the utility sectors as it is seen as a more economically viable option compared to overseas technology. Under the newly awarded Newton Fund 2020, Prof Lim is collaborating with Newcastle University and a UK enterprise, namely Equiwatt Ltd, to build another novel ESS using second-life batteries for peak reductions. It is anticipated that a large number of second-life batteries could be generated from electric vehicles in the near future. This project is aimed at reducing the total cost of ESS because second-life batteries are relatively cheap while minimising the waste from the electric vehicles. In addition, this ESS will be controlled by an innovative algorithm implemented on the cloud platform that is highly effective in controlling multiple ESS across the power networks involving simultaneous manipulation and analysis of a large amount of data. The outcomes of this project will accelerate the commercialisation and wide installation of ESS across the power networks.
Dr. Xiangjie Kong is currently a Professor in College of Computer Science & Technology, Zhejiang University of Technology (ZJUT), China. Previously, he is an Associate Professor in School of Software, Dalian University of Technology (DUT), China. He is Co-Director of The Alpha Lab (http://thealphalab.org/), and Founding Director of City Science of Social Computing Lab (http://cssclab.cn/). He has served as Academic Editor of PeeJ Computer Science (2018-), Academic Editor of Wireless Communications and Mobile Computing (2021-), Associate Editor of IEEE Access (2017-), Editor of KSII Transactions on Internet and Information Systems (2016-), Editor of SpringerPlus (2015-2016), (Leading) Guest Editor of several international journals including Pervasive and Mobile Computing (2018), International Journal of Distributed Sernsor Networks (2015), Future Internet (2019) etc., Workshop Chair or PC Member of a number of conferences including ICDM, ICC, IEEE BigData, UIC, COMPLEX NETWORKS, BigScholar, IOP, MobiSPC, etc.. Dr. Kong has authored/co-authored over 130 scientific papers in international journals and conferences including IEEE TKDE, ACM TKDD, IEEE TII, IEEE COMMUN MAG, IEEE TVT, IEEE IOJ, IEEE TSMC, IEEE TETC, IEEE TASE, IEEE TCSS, WWWJ, FGCS, JNCA, AD HOC NETW, IJRNC SCIM, WWW, etc.. 3 of his papers is selected as ESI- Hot Paper (Top 1‰), and 13 papers are ESI-Highly Cited Papers (Top 1%). His research has been reported by Nature Index and other medias. He has been invited as Reviewers for numerous prestigious journals including IEEE TMC, IEEE TITS, IEEE TII, IEEE IOTJ, IEEE COMMUN MAG, IEEE WIREl COMMUN, JOI, JASIST, SCIM, TCJ, etc.. Dr. Kong has authored/co-authored three books (in Chinese). He has contributed to the development of 12 copyrighted software systems and 15 filed patents. He has an h-index of 32 an i10-index of 79, and a total of more than 3400 citations to his work according to Google Scholar. His research interests include big data, network science, and computational social science. He is a Senior Member of IEEE and CCF, a FULL Member of Sigma Xi, and a Member of ACM.
Abstract: In the fast-growing scholarly big data background, social network technologies have recently aroused widespread attention in academia and industry. The concept of academic social networks is created precisely in the context of scholarly big data, which refers to the complicated academic network formed by academic entities and their relationships. There are a wealth of data-driven methods to analyze the rich structural types and related information about academic social networks. Nowadays, various academic data can be easily obtained, which makes it easier for us to analyze and study academic social networks. This talk investigates the background, the current status, and trends of academic social networks, and reviews representative research tasks in this domain from three levels: actor, relationship, and network.
Francisco Falcone received the degree in telecommunication engineering and the Ph.D. degree in communication engineering from the Universidad Publica de Navarra (UPNA), Spain, in 1999 and 2005, respectively. From February 1999 to April 2000, he was a Microwave Commissioning Engineer with Siemens-Italtel, deploying microwave access systems. From May 2000 to December 2008, he was a Radio Access Engineer with Telefonica Moviles, performing radio network planning and optimization tasks in mobile network deployment. In January 2009, as a Co-Founding Member, he has been the Director of Tafco Metawireless, a spin-off company from UPNA, until May 2009. In parallel, he was an Assistant Lecturer with the Electrical and Electronic Engineering Department, UPNA, from February 2003 to May 2009. In June 2009, he becomes an Associate Professor with the EE Department, being the Department Head, from January 2012 to July 2018. From January 2018 to May 2018, he was a Visiting Professor with the Kuwait College of Science and Technology, Kuwait. He is also affiliated with the Institute for Smart Cities (ISC), UPNA, which hosts around 140 researchers. He is currently acting as the Head of the ICT Section. His research interests include related to computational electromagnetics applied to the analysis of complex electromagnetic scenarios, with a focus on the analysis, design, and implementation of heterogeneous wireless networks to enable context-aware environments. He has more than 500 contributions in indexed international journals, book chapters, and conference contributions. He received the CST 2003 and CST 2005 Best Paper Award, the Ph.D. Award from the Colegio Oficial de Ingenieros de Telecomunicacion (COIT), in 2006, the Doctoral Award UPNA, in 2010, the First Juan Gomez Peñalver Research Award from the Royal Academy of Engineering of Spain, in 2010, the XII Talgo Innovation Award 2012, the IEEE 2014 Best Paper Award, in 2014, the ECSA-3 Best Paper Award, in 2016, and the ECSA-4 Best Paper Award, in 2017.
Abstract: The progressive implementation of Smart Cities and Smart Regions towards more sustainable environments is constantly increasing trend. Multiple systems within urban regions (i.e., ITS, Smart grids, waste management, etc.) require high levels of scalability and responsiveness in order to provide truly context awarare and interactive capabilities. Wireless communication systems play a key role in these scenarios, providing flexible and adpative connectivity for a wide array of information sources. In this presentation, the trends and challenges posed to wireless communication systems for massive IoT based deployments will be explored, as well the future trends in order to provide more stringent quality of service metrics.