Keynote Speakers

UTS are pleased to present the following keynote speakers at this year's ACIS2018.

Prof H. Raghav Rao, UTSA

Raghav Rao

Dr. H.R. Rao was named the AT&T Distinguished Chair in Infrastructure Assurance and Security at The University of Texas at San Antonio College of Business in January 2016. He also holds a courtesy appointment as full professor in the UTSA Department of Computer Science. He graduated from Krannert Graduate School of Management at Purdue University. His interests are in the areas of management information systems, decision support systems, e-business, emergency response management systems, and information assurance. He has chaired sessions at international conferences and presented numerous papers. He also has co-edited four books, including Information Assurance Security and Privacy Services and Information Assurance in Financial Services. He has authored or co-authored more than 200 technical papers, of which more than 125 are published in archival journals. He is current co-editor in chief of Information Systems Frontiers.

Professor Rao was the inaugural recipient of The Bright Internet Award for his contributions to the information systems discipline by KMIS, the Korea Society of Management Information Systems. In 2018 Professor Rao was awarded the International Federation for Information Processing (IFIP) Outstanding Service Award for significant service contributions to the field of information systems and information systems security. In November 2016, Professor Rao received the prestigious Information Systems Society Distinguished Fellow Award (Class of 2016) for outstanding intellectual contributions to the information systems discipline.

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Information Categorization in Crowdsourced Crisis Mapping during the 2010 Haiti Earthquake: A Collective Sensemaking Approach

Crisis mapping is the process of real-time collection and visualization of crisis data for humanitarian relief. Focusing on a real-life event, the 2010 Haiti earthquake, we explore the specific aspect of information categorization on a crisis mapping platform (known as Ushahidi). Information categorization is a process wherein messages from affected citizens (victims) are categorized by crowd volunteers for use by crisis responders. Appropriate categorization of victim messages helps in the suitable deployment of resources for response and recovery efforts. However, the reliability of information categorization have been questioned in the context of crowdsourced crisis mapping. This is because much of the victim reported information is ambiguous or incomplete and because crowd volunteers may not have the requisite training for processing such information. This leads to the following research questions:  Are there features of citizen-reported crisis messages that can lead to reliable categorization? How can the capabilities of technology platforms help the online crowd volunteers in reliable categorization?

We employ collective sensemaking as an overarching framework to investigate the drivers of reliable information categorization. Collective sensemaking is the shared comprehension of crisis messages that is facilitated through an understanding of the duality of (a) the crisis context and (b) interaction of crowd volunteers with the crisis mapping platform. We develop a research model that characterizes agreements within information categorization in terms of social and situational cues, as well as information structuring and crisis mapping interactions (captured through posts within crisis reports).

Prof Raimo P. Hämäläinen, Aalto University

Prof. Raimo P. Hämäläinen

Prof. Raimo P. Hämäläinen is an emeritus professor in operations research and founder of the Systems Analysis Laboratory in the Aalto University (formerly Helsinki University of Technology ) in Finland. He is the author of over 200 publications on decision making, systems, control and dynamic games, energy and environmental decision making and participation, as well as on biological systems. He is also the designer of many widely used decision support software. He has actively worked on the new concept of Systems Intelligence. He is chair of the EURO Working Group on Behavioural Operational Reseach and one of the initiators of this emerging new area in OR.

Professor Raimo P. Hämäläinen is the Honorary President of the Finnish Operations Research Society. The International Society on Multiple Criteria Decision Making presented him the MCDM Edgeworth-Pareto Award to in August 2004 as the highest distinction of the Society.

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From Systems Thinking to Systems Intelligence: Bringing Human Behaviour into the Focus

We live embedded in systems: the environment, climate, societies, organizations, economies, and families. The past 20th century was a systems century during which technical tools were developed to optimize complex systems and to take man to the moon. Today in the 21st century our systemic challenges relate increasingly to human behaviour in complex settings. These challenges are reflected in The World Economic Forum's list of ten essential future job skills which include  Complex Problem Solving, People Management, Coordinating with Others and Emotional Intelligence. I will discuss  behavioural issues in model-based problem solving and system design. I will Introduce the concept of Systems Intelligence  (SI) which is a personal systems competence which we have and which can be improved by learning.  The key idea in the SI perspective is to try to identify structures of systems including also the human components and to look for successful ways of acting from within the system. Such systems are always present in design and problem-solving settings too. I will describe tools to develop systems intelligence including the SI self-assessment inventory. Research has shown that SI goes hand in hand with job performance and that top-level organizations score high in SI

Distinguished Prof  Athanasios V. Vasilakos, LTU

Athanasios Vasilakos

Distinguished Professor Athanasios (Thanos) Vasilakos is currently Professor at Lulea University of Technology, Sweden. His research focuses on IoT and smart cities, cloud computing, cybersecurity, and big data analytics. With more than 27000 citations, and H-index=90, Thanos’ papers have been among the top 1% most-cited publications for a 12-year period; consequently he was included in the Web of Science Highly Cited Researches list in 2017 and 2018.

Thanos is serving or served as an editor for many technical journals including IEEE Transactions on Network and Service Management, IEEE Transactions on Cloud Computing, IEEE Transactions on Services Computing, IEEE Transactions on Information Forensics and Security, IEEE Transactions on Cybernetics, IEEE Transactions on Nanobioscience, IEEE Transactions on Information Technology in Biomedicine, ACM Transactions on Autonomous and Adaptive Systems, and the IEEE Journal on Selected Areas in Communications. Thanos has served as General Chair of the European Alliance for Innovation, been a consultant in industry and is co-founder of two start-ups.

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Secure Future Internet

I argue that the biggest problem with the current Internet architecture and security is not a particular functional deficiency, but its inability to accommodate innovation. To address this problem I propose an architectural framework for innovation. I try to answer the following questions:

Question 1. What additional primitives need to be included in Future Internet in order to allow the necessary security mechanisms to be built? The Freedom to Innovate it allows to build mechanisms needed to create a more Secure Future Internet.

Question 2. What will be the role of Machine Learning in Secure Future Internet?

Does our emphasis on evolvability (through innovation) imply that the previous emphasis on functionality was misguided? Not at all. We believe that going forward, the community’s clean-slate design efforts for security should have a dual focus: we need to understand how best to support architectural innovation with a minimal framework and we also need to understand how to best support various functionalities with architectures that fit within such frameworks.