Cloud Computing and Big Data Can Improve the Quality of Our Life
Victor Chang, Aston Business School, Aston University, United Kingdom
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, Sorbonne Université, France
Predicting Pinterest - Organising the World's Images with Human-machine Collaboration
Nishanth R. 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
Brief Bio
Prof. Victor Chang is a Professor of Business Analytics at Operations and Information Management, Aston Business School, Aston University, UK, since mid-May 2022. He was previously a Full Professor of Data Science and Information Systems at the School of Computing, Engineering and Digital Technologies, Teesside University, UK, since September 2019. He was previously a Senior Associate Professor, Director of Ph.D. and Director of MRes at International Business School Suzhou, Xi’an Jiaotong-Liverpool University, China. He was also a very active contributing key member at the Research Institute of Big Data Analytics, XJTLU. Before that, he worked as a Senior Lecturer at Leeds Beckett University, UK. Within 4 years, Prof Chang completed Ph.D. (CS, Southampton) and PGCe rt (Higher Education, Fellow, Greenwich) while working for several projects at the same time. Before becoming an academic, he has achieved 97% on average in 27 IT certifications. He won 2001 full Scholarship, a European Award on Cloud Migration in 2011, IEEE Outstanding Service Award in 2015, best papers in 2012, 2015 and 2018, the 2016 European award: Best Project in Research, 2016-2018 SEID Excellent Scholar, Suzhou, China, Outstanding Young Scientist award in 2017, 2017 special award on Data Science, 2017-2022 INSTICC Service Awards, Talent Award Suzhou 2019, Top 2% Scientist 2019-2022, Highly Cited Researcher 2021, Outstanding Reviewer of several Elsevier journals 2018-2019 and Outstanding Editor of FGCS (stepped down). He is the Associate Editor of IEEE TII, JGIM, Expert Systems and IJBSR and an Editor of Information Fusion, Scientific Report and IDD journals. He is the Editor-in-Chief of IJOCI and OJBD journals, and holds important or lead guest editor roles in several prestigious journals. Prof Chang was involved in different projects worth more than £14 million in Europe and Asia. He has published 3 books as sole author and the editor of 2 books on Cloud Computing and related technologies. He gave 48 keynotes at international conferences. He is widely regarded as one of the most active and influential young scientists and experts in IoT/Data Science/Cloud/Security/AI/IS, as he has the experience to develop 10 different services for multiple disciplines. He is the founding conference chair for IoTBDS, COMPLEXIS and FEMIB to build up and foster active research communities globally with positive impacts.
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
Sorbonne Université
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 R. Sastry
King's College London
United Kingdom
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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/
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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 Research Program Manager within the Technology Field “Software and Systems Innovation” of Siemens Corporate Technology in Munich. He is current leading a corporate research program on validation and engineering of intelligent and autonomous systems. Starting his career 1998 at Siemens Public Networks, he held several leading and expert positions within the company and also represented Siemens in external partnerships like ITEA, ARTEMIS/ECSEL and SPES. He has gained an extensive knowledge in communications, cyber-physical and embedded systems, software- and systems engineering as well as in various application domains like automotive, mobility and smart cities/smart buildings. Cornel Klein 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.