Keynotes

Keynotes

Prof. Elisa Bertino

  • Affiliation

    Purdue University and Research Director of the Center for Information and Research in Information Assurance and Security (CERIAS), USA.

  • Short Bio

    Elisa Bertino is professor of computer science at Purdue University, and serves as Research Director of the Center for Information and Research in Information Assurance and Security (CERIAS). She is also an adjunct  professor of Computer Science & Info tech at RMIT in Melbourne. Prior to joining Purdue in 2004, she was a professor and department head at the Department of Computer Science and Communication of the University of Milan. She has been a visiting researcher at the IBM Research Laboratory (now Almaden) in San Jose, at the Microelectronics and Computer Technology Corporation, at Rutgers University, at Telcordia Technologies. Her recent research focuses on database security, digital identity management, policy systems, and security for web services. She is a Fellow of ACM and of IEEE. She received the IEEE Computer Society 2002 Technical Achievement Award and the IEEE Computer Society 2005 Kanai Award. She is currently serving as EiC of IEEE Transactions on Dependable and Secure Computing.

  • Title

    Security and Privacy in the IoT

  • Abstract

    The Internet of Things (IoT) paradigm refers to the network of physical objects or “things” embedded with electronics, software, sensors, and connectivity to enable objects to exchange data with servers, centralized systems,  and/or other connected devices based on a variety of communication infrastructures. IoT makes it possible to sense and control objects creating opportunities for more direct integration between the physical world and computer-based systems. IoT will usher automation in a large number of application domains, ranging from manufacturing and energy management (e.g. SmartGrid), to healthcare management and urban life (e.g. SmartCity). However, because of its fine-grained, continuous and pervasive data acquisition and control capabilities, IoT raises concerns about the security and privacy of data. Deploying existing data security solutions to IoT is not straightforward because of device heterogeneity, highly dynamic and possibly unprotected environments, and large scale. In this talk, after outlining key challenges in data security and privacy, we present initial approaches to securing IoT data, including efficient and scalable encryption protocols, software protection techniques for small devices, and fine-grained data packet loss analysis for sensor networks.

Prof. Witold Pedrycz

  • Affiliation

    Professor and Chair Canada Research Chair, IEEE Fellow, Professional Engineer, Department of Electrical and, Computer Engineering, University of Alberta, Edmonton, Canada.

  • Short Bio

    Witold Pedrycz is Professor and Canada Research Chair (CRC) in Computational Intelligence in the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada. He is also with the Systems Research Institute of the Polish Academy of Sciences, Warsaw, Poland. He is a foreign member of the Polish Academy of Sciences, and a Fellow of the Royal Society of Canada, IEEE, and IFSA. He is a recipient of numerous awards including a prestigious Norbert Wiener award from the IEEE Systems, Man, and Cybernetics Society, IEEE Canada Computer Engineering Medal, Cajastur Prize for Soft Computing, Killam Prize, and a Fuzzy Pioneer Award from the IEEE Computational Intelligence Society.

    His main research directions involve Computational Intelligence, fuzzy modeling and Granular Computing, knowledge discovery and data mining, fuzzy control, pattern recognition, knowledge-based neural networks, relational computing, and Software Engineering. He is an author of 15 research monographs covering various aspects of Computational Intelligence, data mining, and Software Engineering.

    Dr. Pedrycz is intensively involved in editorial activities. He is an Editor-in-Chief of Information Sciences and Editor-in-Chief of WIREs Data Mining and Knowledge Discovery (Wiley).  He serves on the Advisory Board of IEEE Transactions on Fuzzy Systems and is a member of a number of editorial boards of other international journals.

  • Title

    Developing and Assessing Information Granules for Intelligent Data Analysis and Decision-Making

  • Abstract

    Information granules play a pivotal role in acquiring, representing, processing, and communicating knowledge at a suitable level of abstraction. Designing information granules is central to all pursuits of Granular Computing.

    The talk offers a comprehensive and systematically structured overview of methodologies and algorithms of designing information granules along with a suite of representative applications in data analysis and decision-making. The taxonomy embraces two main categories of data-driven and knowledge-oriented approaches. We introduce and discuss a principle of justifiable granularity, which serves as a key design vehicle facilitating a formation of information granules completed on a basis of available experimental evidence.  Recent advances of the principle are discussed as well; those include (i) a collaborative version of the principle supporting data analysis carried out in the presence of distributed data, (ii) context-based version of the principle incorporating auxiliary sources of knowledge, and (iii) its hierarchical version facilitating handling experimental evidence being available at several levels of specificity (abstraction). A collection of design scenarios motivating and supporting a formation of hierarchies of information granules of higher type and higher order is presented.

    The design of information granules comes with a thorough evaluation of their quality. A general taxonomy of several proposed performance indexes is being offered including a general granulation-degranulation approach along with ensuing optimization schemes. A number of application-specific performance indexes are considered including those emerging directly from the privacy-driven usage of information granules in data analysis.

    In the realm of data analysis, we discuss a collaborative mode of discovery of relationships and a granular summarization of findings quantified in the language of information granules. We advocate the role of information granules in group decision-making highlighting a mechanism of calibration of individual decision-making models augmented by a granular knowledge transfer.

Prof. Athula Ginige

  • Affiliation

    School of Computing, Engineering & Mathematics, Western Sydney University, Australia

  • Short Bio

    Athula Ginige is  Professor of Information Technology at Western Sydney University (WSU), Australia and he leads the Social Computing and Knowledge Ecosystems Research Program at the School of Computing, Engineering and Mathematics.  This program focuses on developing knowledge driven Social Computing solutions delivered via mobile based systems to range of applied problems including “Grand Challenges” in diverse areas such as agriculture, healthcare, business and education. His current research areas include both autonomous and participatory sensor networks, knowledge aggregation and event detection, large scale knowledge organisation based on ontologies and semantic web technologies, context modelling, designing mobile based systems for user empowerment and Social Computing. Digital Knowledge Ecosystems integrate all these technologies and methodologies to provide innovative and sometimes disruptive solutions to real world challenges.

    One such example is Digital Knowledge Ecosystem (DKES) for Agribusiness which he pioneered to address the key problems that farmers and other stakeholders face as a result of an uncoordinated market. This DKES has evolved over the last five years (2011 to 2016) and is now poised to transform agriculture by linking major stakeholders and providing them with relevant context-dependent actionable information on the go to create a well-coordinated system.
    In 2016 he won the Australian Computer Society Digital Disrupter Gold award for developing the Digital Knowledge Ecosystem (DKES) for Agribusiness. He has over 200 Journal and Conference publications and given many keynotes at conferences.  He graduated with B.Sc. first class honours from University of Moratuwa, Sri Lanka. He obtained his Ph.D. from the University of Cambridge, England.

  • Title

    ∑ (( Green, Pervasive, Cloud ) Computing) = ?

  • Abstract

    In the past few years much advances have happened in Green Computing, Pervasive Computing and Cloud Computing. In this keynote I will explore how we can effectively combine these advances in different areas of computing to address some of the “Grand Challenges” or United Nations “Sustainable Development Goals (SDGs)” especially in areas of Food Security and Healthcare delivery.
    Growth in world population and the need to feed them, increasing life expectancy and the need to care for them, climate change, issues with fossil fuels among others have posed us a set of challenges often termed Grand Challenges. United Nations as a successor to its Millennium Goals have formulated 17 Sustainable Goals; “No Poverty”, “Zero Hunger” and “Good Health and Well-Being” being the first three. The advances in various aspects of computing can make a significant contribution towards finding sustainable solutions to these Grand Challenges. The question is how best to combine these advances to develop these solutions.
    To understand how advances in various computing aspects can be effectively combined to solve these Grand Challenges, 6 years ago, we embarked on a research project to develop a mobile based information system for agriculture domain.  This system has now evolved into a Digital Knowledge Ecosystems for Agri-business and at present getting deployed among millions of farmers in India and Sri Lanka. Advances in pervasive computing have enabled us to connect with millions of users through their mobile phones and use in-built sensors to collect location specific data. Using this information user context can be computed.  Cost effective cloud computing options enabled us to develop a large agriculture ontology and a corresponding knowledgebase that can be queried based on computed user context.  This enabled us to generate “Actionable Information” in response to user queries which was provided to the users through their mobile devices. This empowered users to act and user actions were captured via the visual interfaces on the mobile and aggregated to derive situational knowledge. This situational knowledge is shared among the user community based on earlier computed context to empower them to make informed decisions that can lead to increased productivity, better economic out comes and sustainable growth. The growth of the farmer community attracted other major stakeholders in the domain such as Government Institutions, major agro chemical companies, micro finance organisations and potential buyers to be part of the Digital Knowledge Ecosystem fuelling its growth.
    The Digital Knowledge Ecosystem architecture that evolved is very generic and can be used to develop systems to solve many other Grand Challenges. For example we are now developing a system to manage type 2 Diabetes by replacing crop knowledgebase with a Knowledgebase on chronic dieses management.  Another project we are currently working on is to develop a Digital Knowledge Ecosystem to manage child growth and related growth issues. We have also started a project to develop a “Mobile based Information System for Nutrition driven Agriculture” with a group of African Universities.
    In this keynote I will explain the underlying Digital Knowledge Ecosystem architecture, user centred scenario transformation approach that evolved when working on these projects and how advances in pervasive and cloud Computing can be effectively combines to achieve sustainable green solutions for betterment of humanity.

Paolo Balboni

  • Affiliation

    President of the European Privacy Association, Founding Partner of ICT Legal Consulting, Belgium.

  • Short Bio

    Paolo Balboni (Ph.D.) is a top tier European ICT, Privacy & Data Protection lawyer and serves as Data Protection Officer (DPO) for multinational companies. Lead Auditor BS ISO/IEC 27001:2013 (IRCA Certified). Dr. Balboni (qualified lawyer admitted to the Milan Bar) is a Founding Partner of ICT Legal Consulting (ICTLC), a law firm with offices in Milan, Bologna, Rome, an International Desk in Amsterdam, and multiple Partner Law Firms around the world. He is the Co-Chair of the CSA Privacy Level Agreement Working Group, President of the European Privacy Association based in Brussels and the Cloud Computing Sector Director and Responsible for Foreign Affairs at the Italian Institute for Privacy based in Rome.

  • Title

    European General Data Protection Regulation: Game Changers and a Methodology for An Effective Compliance Approach

  • Abstract

    Dr. Paolo Balboni will discuss the new provisions of the Regulation (EU) 2016/679 and what they mean for intensive technology-related personal data processing (e.g., by means of cloud computing technologies, Internet of Things, Big Data and Analytics). With the new Regulation data protection compliance will become increasingly risk-based.  We can identify a shift from data protection comprised of policies to data protection made of procedures as entities processing personal data will have to translate data protection compliance directly into industry processes (Data Protection by Design and by Default). Given this framework the end aim of the presentation is to share with the audience a methodology to set up an effective and comprehensive Data Protection Compliance Programme. Key topics of the presentations will be: (i) New principles set forth in the Regulation; (ii) Main duties and obligations for Controllers and Processors; (iii) The crucial role of the Data Protection Officer (DPO); (iv) How to carry out a Data Protection Impact Assessment (DPIA); (v) How to apply the principles of Data Protection by Design and by Default; (vi) How to manage Data Breaches and the related notification to the Supervisory Authority; (vii) New data subjects rights; (viii) Sanctions and remedies; (xix) How to set up an effective Data Protection Compliance Programme.