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Keynote Lectures

Cloud Computing and Big Data Can Improve the Quality of Our Life
Victor Chang, Xi'an Jiaotong-Liverpool University, China

Change Alone is Unchanging - Continuous Context-aware Adaptation of Service-based Systems for Smart Cities and Communities
Paolo Traverso, Center for Information Technology - IRST (FBK-ICT), Italy

Selective Information Dissemination on the Real-time Web - A Database Perspective
Bernd Amann, LIP6 - Pierre and Marie Curie University, France

Predicting Pinterest - Organising the World's Images with Human-machine Collaboration
Nishanth Ramakrishna Sastry, King's College London, United Kingdom

Vision-based Perception for Intelligent Vehicles
Alberto Broggi, VisLab - Universita' di Parma, Italy

Software- and Systems Architecture for Smart Vehicles
Cornel Klein, Siemens AG, Germany

 

Cloud Computing and Big Data Can Improve the Quality of Our Life

Victor Chang
Xi'an Jiaotong-Liverpool University
China
 

Brief Bio
Victor Chang is an Associate Professor (Reader) in Information Management and Information Systems of International Business School Suzhou, Xi'an Jiaotong Liverpool University, China. He's also a Director of PhD Program. He was previously a Senior Lecturer in the School of Computing, Creative Technologies at Leeds Beckett University, UK. He’s a Visiting Researcher at the University of Southampton, UK and an Honorary Associate Professor at the University of Liverpool, UK. He is an expert on Cloud Computing and Big Data in both academia and industry with extensive experience in related areas since 1998. He completed a PGCert (Higher Education) and PhD (Computer Science) within four years while working full-time. He has over 100 peer-reviewed published papers. He won £20,000 funding in 2001 and £81,000 funding in 2009. He was involved in part of the £6.5 million project in 2004, part of the £5.6 million project in 2006 and part of a £300,000 project in 2013. He won a 2011 European Identity Award in Cloud Migration, since his work is making contributions. He has won 2016 European Identity and Cloud Award on the best project in research, involved with more than 20 collaborators worth more than $10 millions in valuation. He was selected to present his research in the House of Commons in 2011 and won the best paper in 2012 and 2015. He has demonstrated Storage as a Service, Health Informatics as a Service, Financial Software as a Service, Education as a Service, Big Data Processing as a Service, Integration as a Service, Security as a Service, Social Network as a Service, Data Visualization as a Service (Weather Science) and Consulting as Service in Cloud Computing and Big Data services in both of his practitioner and academic experience. His proposed frameworks have been adopted by several organizations. He is the founding chair of international workshops in Emerging Software as a Service and Analytics and Enterprise Security. He is the founding chair of IoTBDS and COMPLEXIS which have become popular in research communities. He is an Editor-in-Chief (EIC) in International Journal of Organizational and Collective Intelligence and a founding EIC in Open Journal of Big Data. He is the Editor of a highly prestigious journal, Future Generation Computer Systems (FGCS). He is a reviewer of numerous well-known journals and had published three books on Cloud Computing which are available on Amazon website. He is a keynote speaker for CLOSER 2015/WEBIST2015/ICTforAgeingWell 2015 and has received positive support. Dr. Victor has given or will give 10 international keynotes since the end of Year 2016. He has won the Outstanding Young Scientist of Year 2017 this February.


Abstract
The rise of Cloud Computing and Big Data has played influential roles in the evolution of IT services and has made significant contributions to different disciplines. For example, there are ten services that cannot be achieved without the combined effort from Cloud Computing and Big Data techniques: They are Storage as a Service, Health Informatics as a Service, Financial Software as a Service, Business Intelligence as a Service, Education as a Service, Big Data Processing as a Service, Integration as a Service, Security as a Service, Social Network as a Service and Data Visualization as a Service (Weather Science) respectively, in which the keynote speaker will summarize the motivation, methods, results and contributions in each service. He will explain how the unique services can improve the quality of our life by understanding the complex biological and physiological science and ensuring the best approaches of treatments and actions can be adopted. These include development projects and successful deliveries in brain segmentation and learning, proteins and body defense mechanisms, tumor studies and DNA sequencing. Research and enterprise contributions to other disciplines are available which include Business Intelligence as a Service to provide accurate and up-to-date tracking of risk and prices with regard to the investment, as well as contributions for weather data visualization and forecasting to inform the general public about the consequences of the extreme weather.



 

 

Change Alone is Unchanging - Continuous Context-aware Adaptation of Service-based Systems for Smart Cities and Communities

Paolo Traverso
Center for Information Technology - IRST (FBK-ICT)
Italy
 

Brief Bio
Paolo Traverso is the Director of FBK ICT irst, Centre for Information Technology at FBK (Fondazione Bruno Kessler) since 2007. The Centre counts about 200 people working on software and services, cloud computing, embedded systems, content and semantics, perception and interaction. 
He was also CEO of Trento RISE (the Trento Research, Innovation, and Education System) from 2011 until June 2014, the association between FBK and the University of Trento, which is part of the European Institution of Innovation and Technology (EIT) in ICT, the EIT ICT Labs. 
Paolo joined IRST after working in the advanced technology groups of companies for management information consulting in Chicago, London, and Milan, where he led projects for the development of safety critical systems, data and knowledge management, and service oriented applications. He contributed to research in automated planning and service oriented computing. 
He was Program Chair of the International Conference on Automated Planning and Scheduling (ICAPS), General and Program Chair of the International Conference on Service-Oriented Computing (ICSOC), and Program Chair of the Extended Semantic Web Conference (ESWC). His recent research interests are in the monitoring, adaptation, evolution of service oriented applications, and in the development of new-generation services delivery platforms for improving individual and societal quality of life.


Abstract
Service-based systems have to deal with highly dynamic environments in which they must often operate. Consider for instance the case of smart cities and communities, i.e., communities of people who actively participate to the creation and use of ICT-based solutions to improve their quality of life within their own city or region.   Within a smart city and community, the context in which applications must operate continuously changes, as well as the situation, the accessibility to (ICT-based) services, the people, their interactions, requirements, and preferences. Moreover, most often, the only way applications can react to such changing environment is at run-time, since we cannot predict a priori different situations, requirements, interactions, and availability of (ICT) services. Continuous context-aware and incremental adaptation becomes therefore the key enabling property for the delivery of ICT based value added services to cope with the dynamics of the continuously changing environment.
In my talk, I will present some of the compelling needs for context aware incremental adaptation in the case of service-based applications for smart cities and communities. I will discuss some alternative approaches, some lessons learned from applications we have been working with in this field, and the still many related open research challenges.



 

 

Selective Information Dissemination on the Real-time Web - A Database Perspective

Bernd Amann
LIP6 - Pierre and Marie Curie University
France
 

Brief Bio
Bernd Amann is professor at the Pierre et Marie Curie University (UPMC, Paris) and research member of the LIP6 (UMR 7606) laboratory. From 1994 to 2004, he was assistant professor at the Conservatoire National des Arts et Métiers (CNAM) and external collaborator at INRIA. He received his Computer Science Engineer's degree from the Technical University of Vienna in 1988 and his Computer Science PhD from CNAM in 1994.  His current teaching and research interests cover various data management problems with a focus on web data integration, continuous information aggregation and filtering and service-oriented data management and provenance.


Abstract
From its creation the web was designed for disseminating information in a large, world-wide scale. Its development was then continuously governed by the need of making the dissemination process more and more efficient and today, major software companies like Facebook, Twitter and Google generate their benefits by offering efficient services for gathering, filtering, ranking and exchanging highly dynamic information on the web. The LIP6 database group explores this kind of services from a database perspective by extending existing or defining new high-level declarative data models and languages and low-level data management and query optimization techniques. In this talk I will present a representative selection of our contributions and anticipate some future evolutions and challenges.



 

 

Predicting Pinterest - Organising the World's Images with Human-machine Collaboration

Nishanth Ramakrishna Sastry
King's College London
United Kingdom
 

Brief Bio

Nishanth Sastry is a Lecturer (roughly equivalent to a US-style tenure track Assistant Professor) at King's College London. He holds a PhD from the University of Cambridge, UK, a Master's degree from The University of Texas at Austin, and a Bachelor's degree from Bangalore University, India, all in Computer Science. He has over six years of experience in the Industry (Cisco Systems, India and IBM Software Group, USA) and Industrial Research Labs (IBM TJ Watson Research Center). His interest ranges over several layers of the software stack and he is currently involved in building better networked systems by harnessing social network information.
Nishanth is a frequent keynote speaker and his past work has been covered in media outlets such as New Scientist and Nature. His honours include a Best Undergraduate Project Award, a Best Paper Award from the Computer Society of India, a Yunus Innovation Challenge Award at the Massachusetts Institute of Technology IDEAS Competition, a Benefactor's Scholarship from St. John's College, Cambridge, a Cambridge Philosophical Society Research Studentship, a Cisco Achievement Program Award and several awards for his work at IBM.
Further details and publications are available from http://www.inf.kcl.ac.uk/staff/nrs/

 

 


Abstract
From Flickr to Facebook, the world's collection of images is expanding as never before. Given that image search is not as advanced as text search, users are manually organising images and other multimedia content on sites such as Pinterest.com, by curating highly personalised collections of information relevant to themselves. In this talk, we will first explore how and why users are manually curating content on sites such as Pinterest, and discuss the phenomenon of social bootstrapping, whereby existing mature social networks such as Facebook are helping bootstrap engaged communities of content curators on external sites such as Pinterest. Next we will demonstrate how the manual effort involved in curation can be amplified using a unique human-machine collaboration: By treating the curation efforts of a subset of users on Pinterest as a distributed human computation over a low-dimensional approximation of the content corpus, we derive simple yet powerful signals, which, when combined with image-related features drawn from state-of-the-art deep learning techniques, allow us to automatically and accurately populate the personalised curated collections of all other users.



 

 

Vision-based Perception for Intelligent Vehicles

Alberto Broggi
VisLab - Universita' di Parma
Italy
 

Brief Bio
Prof. Alberto Broggi received the Dr. Ing. (Master) degree in Electronic Engineering and the Ph.D. degree in Information Technology both from the Universita` di Parma, Italy. He is now Full Professor at the Universita` di Parma and the President of VisLab, the Artificial Vision and Intelligent Systems Laboratory.
As a pioneer in the use of machine vision for automotive applications and on driverless cars, he authored of more than 150 publications on international scientific journals, book chapters, refereed conference proceedings. He served as Editor-in-Chief of the IEEE Transactions on Intelligent Transportation Systems for the term 2004-2008; he served the IEEE Intelligent Transportation Systems Society as President for the term 2010-2011. He is recipient of two ERC (European Research Council) prestigious grants.


Abstract
The keynote will focus on the latest developments in terms of perception on board of vehicles.  Many prototype vehicles have been design and implemented worldwide, each with its own sensor suite; vision is playing an ever increasing role since cameras performance is improving year after year and processing power is becoming available at a low cost.
The presentation will highlight the benefits of using vision as the main perception technology and will describe some ongoing experiments on full 360-degree 3D reconstruction in real time.



 

 

Software- and Systems Architecture for Smart Vehicles

Cornel Klein
Siemens AG
Germany
 

Brief Bio

Cornel Klein is Software Architect and Project Manager for the Technology & Innovation Project “eCar” at Siemens Corporate Technologies in Munich. He is project manager and coordinator for RACE (Robust and reliable Automotive Computing Environment for future eCars) which aims at the development of an advanced automotive E/E architecture. In various positions at Siemens, he has been responsible for software technologies and SW based innovations. Starting his career 1998 at Siemens Public Networks, he has gained an extensive knowledge in communication networks, embedded systems, IT platforms and SW architecture as well as in application domains like eCars and smart environments. He holds a master and a PhD degree in Computer Science from the Technical University of Munich.


Abstract
Both fully automated driving and electromobility are promising approaches to address the challenges of mobility with regards to sustainability, urbanization and demographic change. Moreover, they also change the usage patterns and concepts for future passenger vehicles and enable new kinds of applications for special purpose vehicles, for instance in logistics. Recently, many projects and demonstrators have shown the feasiblity and tremendous potential of driving automation for building such “Smart vehicles”. However, we are convinced that for the cost-effective development, validation and deployment of automation functions current vehicle architectures are insufficient. Therefore, we present results and research directions in software- and systems architectures. Moreover, we discuss their relevance for the efficient implementation of new vehicle functions and innovative applications.



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