Prof. Rodney J. Clarke
Prof. Rodney J. Clarke is a multidisciplinary researcher in organisational and societal systems. He is the Foundation Head of Discipline (Operations) and an Associate Professor in the School of Management, Operations and Marketing (SMOM), University of Wollongong (UOW) and also holds the rank of Associate Professor in Information Systems at Karlstad University, Sweden(KAU). He received his Ph.D. in information systems and semiotics from the UOW (2000) and was awarded a higher doctorate known as a Docent in Information Systems (Docent i Informatik) from KAU in 2007 for his work in business processes, hyper systems research, and decision making. Rod is an elected Fellow of the British Computing Society (FBCS), a foundation member serving on the Advisory Board of the AIS Special Interest Group on Pragmatic IS Research(SIGPrag), a member of the Association of Information Systems (AIS) and a member of the Australian Council of Professors and Heads of Information Systems (ACPHIS).
Recent research projects have centred on complex socio-technical systems, for example the use of social media to crowd-source flood maps, assessment of users engagement in transport systems, and most recently semantic approaches to sentiment analysis in business disruptions. Two recent applications involve the development of new methods for the spatial representation of experience that can be applied to emergency situations and checking the voracity of message content in spatial situations.
Dr. Marc Smith
Dr. Marc Smith is Chief Social Scientist for the Connected Action Consulting Group, a purveyor of fine quality social media analysis platforms and services based in the USA.
Smith is a sociologist researching the structure of internet social media. He was formerly senior research sociologist at Microsoft Research specializing in the social organization of online communities and computer mediated interaction. He founded the Community Technologies Group at MSR. He also contributed to the release of the Telligent Analytics 3.0 social media reporting product, adding social network analysis features.
He is the co-editor of Communities in Cyberspace (Routledge), a collection of essays exploring the ways identity; interaction and social order develop in online groups. Smith's research focuses on computer-mediated collective action: the ways group dynamics change when they take place in and through social cyberspaces. Many “groups” in cyberspace produce public goods and organize themselves in the form of a commons (for related papers see: http://www.connectedaction.net).
Smith is applying this work to develop open tools for generalized community and social network analysis that will provide a free or web based system for groups of all sizes to collect and analyze their discussions and social media collections. The NodeXL project is an example: a free and open social network analysis extension to Excel 2007 at http://nodexl.codeplex.com
Dr. Roba Abbas
Dr Roba Abbas is a Lecturer and Researcher in the School of Management, Operations and Marketing (SMOM) at the University of Wollongong, and is the Associate Editor for the IEEE Technology and Society Magazine. She completed her Australian Research Council (ARC)- funded Doctor of Philosophy on the topic of Location-Based Services Regulation in 2012, earning special commendations for her thesis titled Location-Based Services Regulation in Australia: A Socio-Technical Approach. Roba is interested in multidisciplinary research relating to the adoption and application of socio-technical and other organisational/systems theories to investigate the impact of emerging technologies on individuals, organisations and society. Recent projects include examining the need for location-based services regulation in Australia through a socio-technical, consultative methodological approach involving the development of geospatial scenarios, and investigating the need for ethical alignment in the context of robotics using a participatory and inclusive approach.
Dr. Abhay Singh
Dr. Abhay is Quantitative Researcher, Senior Lecturer (Macquarie University), R Trainer and Data Analyst. He is particularly interested in new quantitative market risk models, econometrics and portfolio management, Text Mining, Social Media Analytics. His Primary primary area of research is in Financial Risk Modelling, including Econometrics and Multivariate Analysis, Investment Analysis and Asset Pricing. He has worked on several projects related to Multivariate Analysis using Vine Copulas, Financial Risk Modelling and forecasting using Econometric methods among others. He is also involved in interdisciplinary research in Social Media and Data Analytics with an ongoing project on the use of Social Media in Business to Business communication.
Dr. Abbay has published in numerous international research outlets including high quality ABDC ranked A/A* journals. He is also author of the book, “R in Finance & Economics: A Beginners Guide” which focusses on quantitative research methods in Finance/Econometrics using R.
Dr. Gohar F. Khan
Dr. Gohar Khan is a computational social scientist with expertise in social media analytics, social network analysis, network data visualization, social media strategy, and network science. Currently, he is a senior lecturer of digital business at the University of Waikato where he researches the link between social media use and firm's competitive advantage and how businesses create value with social media data.
Khan specializes in both quantitative and qualitative research methods and has published over 50 articles in peer-reviewed journals, conference proceedings, and book chapters. His research, for example, has appeared in several A* journals including Journal of Association for Information Systems, Journal of the American Society for Information Science and Technology, and Scientometrics, among others. Khan has also authored and co-author 4 books on social media analytics and social media use. He is author of the Amazon’s top-selling book titled, "Seven Layers of Social Media Analytics" which provides one of the first comprehensive framework to understand and mine business insights from social media data. His other recent books include Digital Analytics for Marketing and Creating Value with Social Media Analytics.
In addition to his research and teaching, Khan actively engaged with academic and professional bodies. For instance, he has served as track co-chair for The Pacific Asia Conference on Information Systems (PACIS 2016) Track: Social Media Analytics; and PACIS 2018 Track: Social Media Analytics & Business Impact. He was also a PC member for PCIS 2017, the Australasian Conference on Information Systems (ACIS, 2017), and International Conference on Information Systems (ICIS 2016). On several occasions, Khan has also served as a social media consultant for United Nations APC-ICT. He also frequently speaks at international conferences and has given in invited talks in different locations including in South Korea, China, Indonesia, and Bhutan.
Dr. Artem Lenskiy
Dr Artem Lenskiy is experienced academic with expertise in computer science and applied mathematics including probability theory, machine learning, and time-series analysis. For the past 8 years Art has been with Koreatech, prior that completing his PhD in Electrical Engineering at the University of Ulsan, Korea. Dr Lenskiy has supervised numerous master and doctoral candidates. His lab conducts research in a wide spectrum of areas including probabilistic methods in recommender systems, long-memory processes and their applications in finance and human physiology. In the past he was involved in the development of computer vision systems for military unmanned ground vehicles, as well as he participated in the autonomous vehicle competitions organized by Hyundai Motor. He and his lab successfully developed methods for analyzing physiological signals and pioneered the area of analyzing inter-blink interval dynamics. Art participated and led numerous workshops, summits and conferences, giving talks on blockchain related topics, education, and data analysis. Art finds his inspiration in working with people who seek knowledge and are ready to take opportunities in learning and self-development.
Prof. Leo Paas (to be confirmed)
Professor Leo Paas is Head of Analytics at the department of Communication, Journalism and Marketing at Massey University. He studied social science methodology (MSc) and social science informatics (MSc) in Amsterdam, the Netherlands. He graduated in 1994. After graduating Leo worked at a large Dutch bank, the Postbank, which was part of the ING group and has been merged with the ING label. During this period he worked as a database marketer on topics such as customer segmentation, data mining, assessing customer lifetime value, predictive modelling, churn prediction and credit scoring. In 1999 Leo started working as a consultant for a small firm in Amsterdam, applying the knowledge gained at Postbank to assist various financial services providers in their marketing activities, credit scoring and the evaluation of the value and risks of their loan and mortgage portfolios. In 2002 Leo joined the Marketing Department of Tilburg University as an Assistant Professor. In 2005 he became Associate Professor at the marketing department of VU University Amsterdam and moved to New Zealand in 2014.
Leo main research interest has been on the development and application of segmentation models in the financial services market. His more recent addresses two additional topics: (1) Consumer reactions to advertising models; (2) The quality of survey data. He has published in journals such as International Journal of Research in Marketing, Journal of Economic Psychology, Marketing Letters, and Journal of the Royal Statistical Society (A-Series).
Leo has taught various courses at BSc, MSc and postgraduate level on marketing communications, marketing research, services marketing, cross cultural marketing and customer intelligence.