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Keynote Lectures

Available Soon
Henderik A. Proper, Public Research Centre - Henri Tudor, Luxembourg

eHealth Monitoring Using Wireless Communication Protocols and Intelligent Systems
Jaime Lloret Mauri, Universidad Politecnica de Valencia, Spain

Industry 4.0: Challenges from a Data Science Perspective
Ajith Abraham, Machine Intelligence Research Labs (MIR Labs), United States

Available Soon
Moti Yung, Columbia University, United States

Analysing Digital Footprints to Infer the Health of Populations and Individuals
Ingemar Johansson Cox, University of Copenhagen, United Kingdom

 

Keynote Lecture

Henderik Proper
Public Research Centre - Henri Tudor
Luxembourg
 

Brief Bio
Prof.dr. Henderik A. Proper, Erik to friends, is a senior research manager at the Public Research Centre - Henri Tudor in Luxembourg. He also holds a chair in Information Systems at the Radboud University Nijmegen. He leads the Enterprise Engineering research team involving researchers from these two institutions, who jointly work on the FNR funded Architecture-based Service Innovation (ASINE) research programme. Erik has a mixed background, covering a variety of roles in both academia and industry. His professional passion is the further development of the field of enterprise engineering and enterprise architecture. His long experience in teaching and coaching a wide variety of people enables him to involve and engage others in this development. He has co-authored several journal papers, conference publications and books. His main research interests include enterprise architecture, enterprise engineering, enterprise modelling, systems theory, business/IT alignment and conceptual modelling. Erik received his Master's degree from the University of Nijmegen, The Netherlands in May 1990, and received his PhD (with distinction) from the same University in April 1994. In his Doctoral thesis he developed a theory for conceptual modelling of evolving application domains, yielding a formal specification of evolving information systems. After receiving his PhD, Erik became a senior research fellow at the Computer Science Department of the University of Queensland, Brisbane, Australia. During that period he also conducted research in the Asymetrix Research Lab at that University for Asymetrix Corp, Seattle, Washington. In 1995 he became a lecturer at the School of Information Systems from the Queensland University of Technology, Brisbane, Australia. During this period he was also seconded as a senior researcher to the Distributed Systems Technology Centre (DSTC), a Cooperative Research Centres funded by the Australian government. From 1997 to 2001, Erik worked in industry. First as a consultant at Origin, Amsterdam, The Netherlands, and later as a research consultant and principal scientist at the Ordina Institute for Research and Innovation, Gouda, The Netherlands. In June 2001, Erik returned to academia, where he became an adjunct Professor at the Radboud University Nijmegen. In September 2002, Erik obtained a full-time Professorship position at the Radboud University Nijmegen. In Januari of 2008, he went back to combining industry and academia, by combining his Professorship with consulting and innovation at Capgemini, with the aim of more tightly combining his theoretical and practical work. Finally, in May 2010 Erik moved to the Public Research Centre - Henri Tudor in Luxembourg, while continuing his chair at the Radboud University Nijmegen, The Netherlands.


Abstract
Available Soon



 

 

eHealth Monitoring Using Wireless Communication Protocols and Intelligent Systems

Jaime Lloret Mauri
Universidad Politecnica de Valencia
Spain
 

Brief Bio
Prof. Jaime Lloret (jlloret@dcom.upv.es) received his B.Sc.+M.Sc. in Physics in 1997, his B.Sc.+M.Sc. in electronic Engineering in 2003 and his Ph.D. in telecommunication engineering (Dr. Ing.) in 2006. He is a Cisco Certified Network Professional Instructor. He worked as a network designer and administrator in several enterprises. He is currently Associate Professor in the Polytechnic University of Valencia. He is the Chair of the Integrated Management Coastal Research Institute (IGIC) and he is the head of the "Active and collaborative techniques and use of technologic resources in the education (EITACURTE)" Innovation Group. He is the director of the University Diploma “Redes y Comunicaciones de Ordenadores” and he has been the director of the University Master "Digital Post Production" for the term 2012-2016. He was Vice-chair for the Europe/Africa Region of Cognitive Networks Technical Committee (IEEE Communications Society) for the term 2010-2012 and Vice-chair of the Internet Technical Committee (IEEE Communications Society and Internet society) for the term 2011-2013. He has been Internet Technical Committee chair (IEEE Communications Society and Internet society) for the term 2013-2015. He has authored 22 book chapters and has more than 480 research papers published in national and international conferences, international journals (more than 220 with ISI Thomson JCR). He has been the co-editor of 40 conference proceedings and guest editor of several international books and journals. He is editor-in-chief of the “Ad Hoc and Sensor Wireless Networks” (with ISI Thomson Impact Factor), the international journal "Networks Protocols and Algorithms", and the International Journal of Multimedia Communications. Moreover, he is Associate Editor-in-Chief of “Sensors” in the Section sensor Networks, he is advisory board member of the “International Journal of Distributed Sensor Networks” (both with ISI Thomson Impact factor), and he is IARIA Journals Board Chair (8 Journals). Furthermore, he is (or has been) associate editor of 46 international journals (16 of them with ISI Thomson Impact Factor). He has been involved in more than 450 Program committees of international conferences, and more than 150 organization and steering committees. He has led many local, regional, national and European projects. He is currently the chair of the Working Group of the Standard IEEE 1907.1. Since 2016 he is the Spanish researcher with highest h-index in the TELECOMMUNICATIONS journal list according to Clarivate Analytics Ranking. He has been general chair (or co-chair) of 52 International workshops and conferences (chairman of SENSORCOMM 2007, UBICOMM 2008, ICNS 2009, ICWMC 2010, eKNOW 2012, SERVICE COMPUTATION 2013, COGNITIVE 2013, ADAPTIVE 2013, 12th AICT 2016, 11th ICIMP 2016, 3rd GREENETS 2016, 13th IWCMC 2017, 10th WMNC 2017, 18th ICN 2019, 14th ICDT 2019, 12th CTRQ 2019, 12th ICSNC 2019, 8th INNOV 2019, 14th ICDS 2020, 5th ALLSENSORS 2020, IndustrialIoT 2020 and GC-ElecEng 2020, and co-chairman of ICAS 2009, INTERNET 2010, MARSS 2011, IEEE MASS 2011, SCPA 2011, ICDS 2012, 2nd IEEE SCPA 2012, GreeNets 2012, 3rd IEEE SCPA 2013, SSPA 2013, AdHocNow 2014, MARSS 2014, SSPA 2014, IEEE CCAN 2015, 4th IEEE SCPA 2015, IEEE SCAN 2015, ICACCI 2015, SDRANCAN 2015, FMEC 2016, 2nd FMEC 2017, 5th SCPA 2017, XIII JITEL 2017, 3rd SDS 2018, 5th IoTSMS 2018, 4th FMEC 2019, 10th International Symposium on Ambient Intelligence 2019, 6th SNAMS 2019, and ACN 2019, and local chair of MIC-WCMC 2013 and IEEE Sensors 2014). He is IEEE Senior, ACM Senior and IARIA Fellow.

 

 

His publications, h-index and quality of research can be found at:

 

http://scholar.google.es/citations?user=ZJYUEGEAAAAJ

https://www.researchgate.net/profile/Jaime_Lloret2/publications/

http://www.informatik.uni-trier.de/~ley/pers/hd/m/Mauri:Jaime_Lloret

http://www.scopus.com/authid/detail.url?authorId=23389476400

http://orcid.org/0000-0002-0862-0533

https://publons.com/researcher/1701662/jaime-lloret/

http://www.researcherid.com/rid/H-3994-2013


Abstract
Wireless Sensor Networks and IoT technologies are becoming the key systems to monitor remotely patients with diseases and also follow the evolution of elderly and disabled people. These systems use physical sensors or probes connected to an electronic device, which is able to process the data gathered by the input port and send them to a central data server in order to create a big database and apply artificial intelligence techniques. In this talk we are going to detail some sensors developed and some wireless sensor devices used in our published works. Moreover, we will describe our last contributions to improve Wireless Body Area Sensor Networks. Finally we will show some projects performed by our team in order to bring to the audience some real cases.



 

 

Industry 4.0: Challenges from a Data Science Perspective

Ajith Abraham
Machine Intelligence Research Labs (MIR Labs)
United States
 

Brief Bio
Dr. Abraham is the Director of Machine Intelligence Research Labs (MIR Labs), a Not-for-Profit Scientific Network for Innovation and Research Excellence connecting Industry and Academia. The Network with Head quarters in Seattle, USA has currently more than 1,000 scientific members from over 100 countries. As an Investigator / Co-Investigator, he has won research grants worth over 100+ Million US$ from Australia, USA, EU, Italy, Czech Republic, France, Malaysia and China.


Dr. Abraham works in a multi-disciplinary environment involving machine intelligence, cyber-physical systems, Internet of things, network security, sensor networks, Web intelligence, Web services, data mining and applied to various real world problems. In these areas he has authored / coauthored more than 1,300+ research publications out of which there are 100+ books covering various aspects of Computer Science. One of his books was translated to Japanese and few other articles were translated to Russian and Chinese. About 1000+ publications are indexed by Scopus and over 800 are indexed by Thomson ISI Web of Science. Some of the articles are available in the ScienceDirect Top 25 hottest articles. He has 700+ co-authors originating from 40+ countries. Dr. Abraham has more than 36,000+ academic citations (h-index of 89 as per google scholar). He has given more than 100 plenary lectures and conference tutorials (in 20+ countries). For his research, he has won seven best paper awards at prestigious International conferences held in Belgium, Canada Bahrain, Czech Republic, China and India.

Since 2008, Dr. Abraham is the Chair of IEEE Systems Man and Cybernetics Society Technical Committee on Soft Computing (which has over 200+ members) and served as a Distinguished Lecturer of IEEE Computer Society representing Europe (2011-2013). Currently Dr. Abraham is the editor-in-chief of Engineering Applications of Artificial Intelligence (EAAI) and serves/served the editorial board of over 15 International Journals indexed by Thomson ISI. He is actively involved in the organization of several academic conferences, and some of them are now annual events. Dr. Abraham received Ph.D. degree in Computer Science from Monash University, Melbourne, Australia (2001) and a Master of Science Degree from Nanyang Technological University, Singapore (1998). More information at: http://www.softcomputing.net/


Abstract
We are blessed with the sophisticated technological artifacts that are enriching our daily lives and the society. Industry 4.0 is the current trend of automation and data exchange in manufacturing technologies, which also includes a close integration of cyber-physical systems, the Internet of things and cloud computing. In this talk, the concept of Industry 4.0 and Society 5.0 will be presented and then various research challenges from several applications perspective will be illustrated. Some real world applications involving the analysis of complex data / applications would be the key focus.



 

 

Keynote Lecture

Moti Yung
Columbia University
United States
 

Brief Bio
Available Soon


Abstract
Available Soon



 

 

Analysing Digital Footprints to Infer the Health of Populations and Individuals

Ingemar Johansson Cox
University of Copenhagen
United Kingdom
 

Brief Bio
Ingemar J. Cox is currently a Professor in the Department of Computer Science at University College London (UCL). He is also a Professor in the Department of Computer Science at the University of Copenhagen. He is Head of the Future Media Group at UCL. Between 2003 and 2008, he was  Director of UCL's Adastral Park Campus. His current research interests involve information retrieval and data analytics of online
 social media, Twitter and query logs, for healthcare purposes. He is currently a deputy director of an £11M EPSRC IRC on "Early Warning Sensor Systems for Infectious Diseases".
He received his B.Sc. from University College London and Ph.D. from Oxford University. He was a member of the Technical Staff at AT&T Bell Labs at Murray Hill from 1984 until 1989 where his research interests were
focused on mobile robots. In 1989 he joined NEC Research Institute in Princeton, NJ as a senior research scientist in computer science. At NEC, his research shifted to problems in computer vision and he was responsible for creating the computer vision group at NECI. He has worked on problems to do with stereo and motion correspondence and multimedia issues of image database retrieval and watermarking. From 1997-1999, he
served as Chief Technology Officer of Signafy, Inc, a subsidiary of NEC responsible for the commercialization of digital watermarking.  Between 1996 and 1999, he led the design of NEC's watermarking proposal for DVD video disks and later colloborated with IBM in developing the  technology behind the joint "Galaxy" proposal supported by Hitachi, IBM, NEC, Pioneer and Sony.  In 1999, he returned to NEC Research
Institute as a Research Fellow.
In 1999, he was awarded the IEEE Signal Processing Society Best Paper Award (Image and Multidimensional Signal Processing Area) for a paper he co-authored on digital watermarking. The paper subsequently received the IEEE Signal Processing Society Sustained Impact Award in 2015.  He is a recipient of a Royal Society Wolfson Fellowship (2002-2007).  In 2019 he was awarded the Tony Kent Strix Award "in recognition of his
major and sustained contributions to the field of information retrieval".  He is a Fellow of the ACM, IEEE, the IET (formerly IEE), and the British Computer Society. He is a member of the UK Computing Research Committee.


Abstract
A person’s digital footprint is a sequence of data that is generated as a consequence of a person’s daily interaction with the electronic world. A digital footprint may be passive, i.e. a person is unaware of the data being generated, as for example, when location data is collected when using a mobile phone. A digital footprint may also be active, i.e. a person is explicitly creating digital data, as for example, when using a web search engine, Twitter or other social media platforms. A considerable body of research has demonstrated that such data can be analysed to infer properties of a group of people (population) or of an individual. Examples of such properties include demographic characteristics, and purchasing preferences. In this talk, we focus on health characteristics of both populations and individuals. At the population level, we discuss methods to estimate prevalence and virulence of a disease, and effectiveness of national public health interventions (vaccines and changes to law). At an individual level, we discuss methods to stratify users into disease risk groups, and to predict the likelihood of specific diseases, including some forms of cancer. These methods have a variety of advantages for public health surveillance and individual health. However these same methods raise significant privacy and ethical concerns. We discuss technical solutions to address privacy at a population level and highlight concerns at an individual level.



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