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    July 26 August 17, 2014

    September 06 September 21, 2014

    October 5, 2014 October 15, 2014

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    21 October 2014

   4-5 December 2014

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Keynote Talks for IIWAS and SOICT

Gabriele KOTSIS

Department of Telekooperation

Johannes Kepler University Linz

Dumb Web, Smart Web, Knowledgable Web


In February 2011, Watson (IBM super computer) managed to beat two past grand champions on the TV quiz show Jeopardy!. Watson was able to answer questions that require intelligence when done by humans. This marked the first machine to pass the Turing test and started a new era of computing called cognitive computing where computers (modeled after the human brain) learn and interact naturally with people to extend what either humans or machine could do on their own. Google, Amazon, Facebook, etc., using big data technologies, smart Machine Learning and AI algorithms were able to tap into our intensions by predicting what we click, buy, like, dislike, shop, surf, etc.,. This marked the era of smart Web or predictive intelligence where Turing test is reversed and machines now try to figure out who we are, our information needs, our behavioral patterns, the activities we are engaged in and our goals. Together with the torrents of data we leave behind us every time we communicate with the digital eco-system, a new era of human-machine cooperation is starting that gives us millions of potential insights into user experience, marketing, personal tastes, and human behavior. In this talk, we are going to illustrate through motivating cases and research directions the main characteristics of this era and how it can transform the way we interact with the Web to ultimately improve the quality of our lives and gain valuable insights into our affective, mental and physical states.


Gabriele KOTSIS Gabriele Kotsis was born on October 29th, 1967, in Vienna, Austria. She received her masters degree (1991, honored with the Award of the Austrian Computer Society), her PhD (1995, honored with the Heinz-Zemanek Preis) and the venia docendi in computer science (2000) from the University of Vienna. She was working as a researcher and teacher at the University of Vienna (1991-2001), at the Vienna University for Economics and Business Administration (2001) and at the Copenhagen Business School (2002). Since December 2002 she is holding a full professor position at the Telecooperation Department at the Johannes Kepler University of Linz. Her research interests include performance management of computer systems and networks, workgroup computing, mobile and internet computing, telemedia and telecooperation. Prof. Kotsis is author of numerous publications in international conferences and journals and is co-editor of several books. From April 2003 to April 2007 she was president of the Austrian Computer Society. Since October 2007 she is vice rector for research at the JKU Linz.


SBA Research

Vienna University of Technology


Social Engineering has long been a very effective means of attacking information systems. The term knowledge worker has been coined by Peter Drucker more than 50 years ago and still describes very well the basic characteristics of many employees. Today, with current hypes such as BYOD (bring your own device) and public cloud services, young professionals expect to use the same technology both in their private life and while working. In global companies teams are no longer geographically co-located but staffed globally just-in-time. The decrease in personal interaction combined with the plethora of tools used (E-Mail, IM, Skype, Dropbox, Linked-In, Lync, etc.) create new opportunities for attackers. As recent attacks on companies such as the New York Times, RSA or Apple have shown, targeted spear-phishing attacks are an effective evolution of social engineering attacks. When combined with spear phishing to distribute zero-day-exploits they become a dangerous weapon, often used by advanced persistent threats. In this talk we will explore some attack vectors and possible steps to mitigate the risk.


Edgar WEIPPL After graduating with a Ph.D. from the Vienna University of Technology, Edgar worked for two years in a research startup. He then spent one year teaching as an assistant professor at Beloit College, WI. From 2002 to 2004, while with the software vendor, he worked as a consultant in New York, NY and Albany, NY, and in Frankfurt, Germany. In 2004 he joined the Vienna University of Technology and founded together with A Min Tjoa and Markus Klemen the research center SBA Research. Edgar R. Weippl (CISSP, CISA, CISM, CRISC, CSSLP, CMC) is member of the editorial board of Computers & Security (COSE) and he organizes the ARES conference.



University of Rennes

Domain Specific Languages: From Craft to Engineering


The engineering of systems involves many different stakeholders, each with their own domain of expertise. Hence more and more organizations are developing an ever growing number of Domain Specific Languages (DSLs) to allow domain experts to express solutions directly in terms of relevant domain concepts. This new trend raises new challenges about designing not just one DSL but many of them, evolving a set of DSLs and coordinating the use of multiple DSLs. In this talk we explore various dimensions of these challenges, and outline a possible research roadmap for addressing them. We detail one of these challenges, which is the safe reuse of model transformations. Indeed both DSL definition and tooling (eg. checkers, document or code generators, model transformations) require significant development efforts, for a limited audience (by definition), because the current state of the art of Model Driven Engineering still makes it hard to reuse and evolve these definitions and tooling across several DSLs, even when these DSLs are conceptually very close to one other. We outline a new extension to the Kermeta language that leverages Family Polymorphism to allow model polymorphism, inheritance among DSLs, as well as evolution and interoperability of DSLs.


Jean-Marc JEZEQUEL Jean-Marc JEZEQUEL is a Professor at the University of Rennes and Director of IRISA, the largest public research lab in Informatics in France. His interests include model driven software engineering for software product lines, and specifically component based, dynamically adaptable systems with quality of service constraints, including reliability, performance, timeliness etc. He is the author of several books published by Addison-Wesley and of more than 200 publications in international journals and conferences. He was a member of the steering committees of the AOSD and MODELS conference series. He also served on the editorial boards of IEEE Computer, IEEE Transactions on Software Engineering, the Journal on Software and Systems, on the Journal on Software and System Modeling and the Journal of Object Technology. He received an engineering degree in Telecommunications from ENSTB in 1986, and a Ph.D. degree in Computer Science from the University of Rennes, France, in 1989.

Brigitte JAUMARD

Computer Science and Software Engineering (CSE) Department

Concordia University

Resilient Optical Network Virtualization


Cloud computing services are emerging as an essential component of the industry ICT infrastructure and, consequently, one of the fastest growing business opportunities for Internet infrastructure and service providers. Many enterprises are moving their services towards cloud infrastructures. In this rapidly growing market, datacenter (DC) scalability is becoming a major technical challenge for service providers as well as its performance optimization, with a key focus on the network technologies and their control. In fact, service providers have to cope with cloud services delivered by more and more geographically distributed DCs, ever increasing requests by users and DC providers for very high throughputs and low latencies, resource dynamicity and elasticity (i.e. flexible storage and computing on demand) and seamless resource/service migration. The future Internet architecture needs to offer:

  • An efficient integration between the high-performance and high-bandwidth optical network infrastructure of operators and services/resources provided by DCs and server farms.
  • End-to-end cloud service provisioning eco-system that automatically and efficiently bundles DC infrastructure services (i.e. computing and storage) with the required operator optical network connectivity services.
  • A highly resilient virtual infrastructure as a major disadvantage of a virtual architecture is that a single hardware fault or a defect in the virtualization infrastructure (VI) software can lead to the failure of multiple virtual nodes by, for example, preventing VMs from being scheduled or preventing VMs from accessing I/O devices. Hence, a key to enabling the deployment of virtual clusters is to enhance the resiliency of the VI to faults in the hardware or virtualization software.


Brigitte  JAUMARD Brigitte JAUMARD holds a Concordia University Research Chair, Tier 1, on the Optimization of Communication Networks in the Computer Science and Software Engineering (CSE) Department at Concordia University. Her research focuses on mathematical modeling and algorithm design for large-scale optimization problems arising in communication networks, transportation networks and artificial intelligence. Recent studies include the design of the most efficient algorithms for p-cycle based protection schemes, under static and dynamic traffic, and their generalization to the so-called p-structures, which encompass all previously proposed pre-cross-connected preconfigured protection schemes. Other recent studies deal with dimensioning, provisioning and scheduling algorithms in optical grids or clouds, in broadband wireless networks and in passive optical networks. In Artificial Intelligence, contributions include the development of efficient optimization algorithms for probabilistic logic (reasoning under uncertainty) and for automated mechanical design in social networks (design of trust estimator tools). In transportation, her recent contributions include new algorithms for freight train scheduling and locomotive assignment. B. Jaumard has published over 300 papers in international journals in Operations Research and in Telecommunications.

Invited Speaker for SOICT

Hoong Chuin LAU

School of Information Systems

Singapore Management University

Last-Mile Delivery in Smart Cities


Logistics and transportation are two very aspects in smart city development. This talk is in 2 parts. I will discuss the challenges of urban logistics, more specifically in the context of last-mile delivery of freight into mega-cities like Singapore. I will first present several case studies in Europe and Asia on the operation of Urban Consolidation Centers (UCCs) which enable collaboration among shippers, carriers, and retailers to consolidate deliveries. I will then discuss my research on market mechanisms and system that provide the necessary technology and incentives for multiple stakeholders to derive win-win benefits from operating within UCCs. In the second part, I will discuss last-mile delivery of passengers from a transport hub (such as a major train/bus station) to their homes. I will discuss viable approaches from different urban cities in Asia and Europe. Then, I will discuss my research on last mile transportation. More specifically, I will present 2-level planning framework for making real-time clustering and routing decisions. The first upper/strategic level selects, from the set of current requests, the ones to be scheduled in a given period, which can be modelled and solved as Markov decision process (MDP). The second lower/operational level clusters and then routes the selected requests using a standard vehicle routing heuristic.


Hoong Chuin LAU Hoong Chuin LAU is Professor of Information Systems and Deputy Director of the Living Analytics Research Centre at the Singapore Management University. Prior to joining SMU, he was a research scientist at the Institute of Infocomm Research in Singapore, and an assistant professor at the School of Computing, National University of Singapore. His research in the interface of Artificial Intelligence and Operations Research has been widely applied to decision support and optimization, and has contributed to advances of algorithms and applications to a variety of complex resource planning and scheduling problems in logistics, transportation, tourism and health-care. At SMU, he was awarded the SMU Lee Kwan Yew Research Fellowship for research excellence in 2008. He currently serves on the editorial board of the IEEE Transactions on Automation Science and Engineering and guest editors in the Journal of Heuristics and Web Intelligence and Agent Systems Journal. He has been involved in consulting projects in logistics and transportation, for companies such as DHL, Bax Global, PSA, EADS, ST Dynamics, and various government agencies. He is a chartered member of the Chartered Institute of Logistics and Transportation, and currently serves on the CILT (Singapore) board of directors. For his work with the Singapore Ministry of Defense, he won the National Innovation and Quality Convention Star Award in 2006, and was nominated for the prestigious Defense Technology Prize (individual category) in 2007. A recipient of two Singapore government scholarships, Hoong Chuin obtained his Doctorate of Engineering degree in Computer Science from the Tokyo Institute of Technology (Japan) in 1996, and BSc and MSc degrees in Computer Science from the University of Minnesota (Minneapolis).


Institute of Software Technology and Interactive Systems

Vienna University of Technology

Exploring Linked Statistical Data Using Linked Widgets


The Open Data movement has gained momentum among governments, in the business world, and in the public sector over the last few years. The result of this movement is a growing number of open and accessible datasets that have established a solid basis for offering enhanced services and improved experiences to citizens and business. The statistical data, which embodies a big portion of Open Data, comprises a wide range of domains including finance, demographics, transportation, employment, etc. Statistical data plays an increasingly important role in public policy formation and as a facilitator for informed decision-making in the private sector. In this context, Linked Statistical Data is an evolving domain that combines the power of Linked Data (a set of best practices for publishing and connecting structured data on the Web) with open statistical data in order to empower linkage of relevant data and concepts from different resources. In this talk, the Linked Statistical Data limitations and challenges for knowledge workers will be explored and then the innovative concept of Linked Widgets will be presented which is aiming to bridge the knowledge gap between statistical data publishers and knowledge workers who consume the statistical data.


A Min TJOA Professor Dr. A Min Tjoa has been a full professor and director of the Institute of Software Technology and Interactive Systems at the Vienna University of Technology since 1994. He is the chairman of the Austrian National Competence Center for Security Research (“Competence Centers for Excellent Technologies Initiative” of the Austrian government). He was visiting professor at the Universities of Zurich, Kyushu and Wroclaw (Poland) and at the Technical Universities of Prague and Lausanne (Switzerland). From 1999 to 2003, he was the president of the Austrian Computer Society. He is vice-chairman of the IFIP Technical Committee for Information Systems and chairman of the IFIP Working Group on Enterprise Information Systems. Member of the Board (Senate) of the Christian Doppler Foundation for the establishment of high-technology transfer labs in Austria. He is also the University of Technology’s Coordinator of the ASEA-UNINET (ASEAN-EU University Network) and Vice-Chairman of the DEXA Association (Database and Expert System Applications). He has served as chairman of several international conferences including the IEEE Int. Conf. on Distributed Computing Systems (ICDCS), European Software Engineering Conference (ESEC), ACM SIGSOFT Symposium on the Foundations of Software Engineering (FSE), the International Conference on Database and Expert Systems Applications (DEXA), the International Conference on Electronic Commerce and Web Technologies (EC-Web). He was Honorary Chairman of the International Conference on Very Large Databases (VLDB 2007). In 2011 he received the honorary doctoral degree (Dr. h. c.) from the Czech Technical University in Prague and the honorary professor degree of the University of Hue (Vietnam). He is currently member of the Council of Doctoral Studies in Mathematics, Informatics and Telecommunication (Conseil de l’ Ecole Doctorate Mathématique, Informatique et Telecommunications de Toulouse) which covers all universities in the Toulouse area. His current research focus areas are data warehousing, cloud computing, semantic web, security, and non-standard IT- applications. He has published more than 200 peer reviewed articles in journals and conferences.

Mohamed Faouzi ATIG

Department of Information Technology

Uppsala University, Sweden

Mending Fences under Weak memory Models


This talk is devoted to the automatic verification and correction of concurrent programs running under weak memory models. These models capture the reordering of program (read and write) operations done by modern multi-processor architectures and compilers for performance reasons. Thus, the programs may exhibit behaviours that deviate substantially from their behaviours under the usual Sequentially Consistent (SC) (i.e., interleaving) semantics. The standard way to eliminate the undesired behaviours is to insert memory fences (or barriers) instructions that typically prevent reordering of some instructions issued before and after the fence. An important problem in concurrent programming is to find sets of fences that ensure the program correctness without compromising efficiency. This is an important and crucial problem for the correctness of concurrency libraries and other performance-critical system services employing lock-free synchronization, as well as for the correctness of compiler backends that generate code targeted to run on such architectures. In this talk, we consider the most common model resulting from the "write to read" relaxation, which corresponds to the TSO (Total Store Ordering) model. This relaxation is used in most hardware architectures available today. We define abstract operational models for this weak memory model based on state machines with (potentially unbounded) FIFO buffers. Then, we investigate the decidability and the complexity of checking safety properties for programs under TSO memory models. Finally, we present an algorithm that produces an optimal set of fences needed to ensure the program correctness with respect to a safety property. The algorithm is counter-example guided, using counter-examples that are produced by checking safety properties of programs running under TSO memory models.


Mohamed Faouzi ATIG Mohamed Faouzi Atig is an assistant professor at Uppsala University, Sweden. He has received his doctoral degree in Computer Science in 2010 from the University of Paris Diderot- Paris 7 (France) under the supervision of Prof. Ahmed Bouajjani and Dr. Tayssir Touili. From 2010 to 2012, he was a post-doctoral researcher at Uppsala University (Sweden) where he has worked within the UPMARC project on developing algorithms and tools for the automatic verification of multicore systems. Dr. Mohamed Faouzi's research is focused on developing techniques based on formal methods for the verification of parallel programs running under different memory models. Besides being the principal author of many scientific publications, Mohamed Faouzi has also served as program committee member for several international conferences.

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