Prof. Aditya Ghose has been invited to deliver a keynote at a joint plenary session of the Service-Oriented Enterprise Architecture and Evolutionary Business Process Workshops at the EDOC-2015 conference (Adelaide, September, 2015). His keynote title: "The post-theoretic enterprise: Data-driven evolution of enterprise functionality".
Outcomes of a project on merging software models led by Dr Hoa Dam with researchers at Johannes Kepler University (Austria) and University of Otago (New Zealand) has recently been published in the highly-regarded Journal of Systems and Software. Earlier results of this research have won a Best Paper Award at the 11th Working IEEE/IFIP Conference on Software Architecture.
DSL fast growing research on Big Data analytics for software engineering (by PhD student Morakot Choetkiertikul, Dr Hoa Dam, and Prof. Aditya Ghose) scored another major success with a paper at the 30th IEEE/ACM International Conference on Automated Software Engineering (ASE), one of the top conferences in software engineering with an acceptance rate of 20.8%.
DSL authors Karthikeyan Ponnalagu, Prof. Aditya Ghose and Dr. Hoa Dam celebrate a major paper success at the BPM-2015 conference (the premier - and highly selective with a 17% acceptance rate - venue for business process management) with a paper that offers ways to use semantic annotation and goal-oriented analysis to manage variability in business process instances.
DSL authors Morakot Choetkiertikul, Dr. Hoa Dam and Prof. Aditya Ghose have won the ACM SIGSOFT Distinguished Paper Award for their work on mining risk indicators for software projects.
DSL authors Metta Santiputri, Prof. Aditya Ghose, Dr. Hoa Dam and Dr. Chee-Fon Chang celebrate a major paper success at the ER-2015 conference (the premier - and highly selective with a 20% acceptance rate - venue for conceptual modeling) with a paper that offers the first-ever solution to the problem of mining causal links between business processes and task post-conditions.
DSL authors Ayu Saraswati, Prof. Aditya Ghose, Dr. Hoa Dam and Dr. Chee-Fon Chang celebrate a major paper success at the ER-2015 conference (the premier - and highly selective with a 20% acceptance rate - venue for conceptual modeling) for the first reported attempt at data-driven extraction of enterprise architectures.
Prof. Aditya Ghose has been elected Chair of the Steering Committee of the PRIMA (Principles and Practice of Multi-Agent Systems) conference series.
A project led by Dr. Hoa Dam and PhD student Morakot Choetkiertikul has delivered important advances in our ability to predict risk by mining social media. A paper reporting results in the context of risk prediction for software development projects will be reported at the 12th Working Conference on Mining Software Repositories.
TITLE: Digital Knowledge Ecosystems: Architecture and Ecology
SPEAKER: Professor Athula Ginige School of Computing, Engineering & Mathematics Western Sydney University
DATE: October 15, 2015
TIME: 4pm onwards
ABSTRACT: We are now in a phase of human history characterised by having unprecedented level of connectivity to exchange information digitally. This has enabled us to rethink and modify various business as well as livelihood processes.
To better understand how this connectivity can be effectively used to enhance livelihood activities we embarked on a project to develop a mobile based information system for Sri Lankan farmers. To support livelihood activities people need information to make informed decisions. Some of this information could be derived from prior knowledge (quasi static), some can be generated from other information captured in real time (dynamic). Rapid growth of mobile usage especially Smartphones has provided a platform suitable to capture, process and disseminate such information. While developing a mobile based information system for farmers in Sri Lanka we discovered by aggregating and disaggregating information we can create an information flow model among major stakeholders in the agriculture domain mimicking energy flows in biological ecosystems to assist them in making informed decisions. To sustain the flow of information we designed the system to empower users to act based on provided information and capture the actions to derive new information. Based on the insights gained a four tier generic architecture was developed for Digital Knowledge Ecosystems consisting of information aggregation and disaggregation, information flow and storage, user empowerment processes and user interfaces. We are now starting to see emergence of digital ecology patterns similar to what can be observed in biological ecosystems.
The insights gained from the Sri Lankan farmer project is now being applied to develop large complex Digital Knowledge Ecosystems for agriculture in India and health and wellbeing management systems in some of the EU countries and Australia. Further this model has been used in a project to stimulate innovation and competiveness among Small Business and to reorganise a large engineering knowledgebase in Australia.
In this seminar I will describe the technologies and methodologies that evolved when developing the mobile based information system for farmers in Sri Lank, generalisation of the findings into a four tier Digital Knowledge Ecosystem architecture and the ecology pattern that has started to evolve.
BIOGRAPHY: Athula Ginige is a Professor of Information Technology at Western Sydney University. He graduated with B.Sc. first class honours from University of Moratuwa, Sri Lanka. He obtained his Ph.D. from the University of Cambridge. He is now a fellow of the Cambridge Commonwealth Society, a member of the editorial board of The International Journal of Web Engineering and Editor-in-Chief of The International Journal on Advances in ICT for Emerging Regions. He has over 170 Journal and Conference publications. He has given many Keynotes, invited talks, seminar presentations and tutorials at various local and international conferences on video coding, multimedia information systems, Web Engineering, and eBusiness. His current research interests are in Social Computing and Digital Knowledge Ecosystems. He has successfully supervised 16 PhD students.
In recent times he has adopted a Digital Knowledge Ecosystem (DKES) approach to developing effective solutions to real world problems. The DKES approach combines powerful backend data sourcing and aggregation with empowered design and user experience. The DKES approach connects technology and people is now being used for developing mobile based information systems for agriculture, healthcare and stimulating innovation in businesses etc.