11 April 2011
Cyber-Physical Systems (CPS)
Platform Technologies Research Institute is hosting a Distinguished Lecture presented by Professor Tharam S Dillon.
Event details
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Title: |
Cyber-Physical Systems (CPS) |
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Person: |
Professor Tharam S Dillon Digital Ecosystems and Business Intelligence Institute, Curtin University of Technology, Perth |
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Date: |
2012-04-26 |
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Time: |
11.00am – 12.30pm |
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Location: |
RMIT University, Research Lounge, Building 8, Level 5, City Campus |
Further details
Abstract
The very recent development of Cyber-Physical Systems (CPS) provides a smart infrastructure connecting abstract computational artifacts with the physical world. However, building CPS requires new theories and engineering practices that model cyber and physical resources in a unified framework, a challenge that none of the current approaches are able to tackle. The solution to CPS must break the boundary between the cyber world and the physical world by providing a unified infrastructure that permits integrated models addressing issues from both worlds simultaneously.
In this lecture, we propose to use the Web-of-Things (WoT) framework to realize the notion of CPS. A case study is presented based on the WoT framework for building CPS. Grand challenges to computer science are raised at the end.
About the presenter
Professor Tharam S. Dillon has published more than 800 papers in international conferences and journals, eight authored books and six edited books. His work has over 5800 citations and he has an H-Index of 36 (source Google Scholar).
His research interests include Cyber Physical Systems, Data mining, Neural Networks, Web semantics, ontologies, Internet computing, cloud computing, hybrid neurosymbolic systems, software engineering, database systems and power systems computation.
Professor Dillon is a Life Fellow of the IEEE (USA) as well as a Fellow of ACS and IEAust.
He has researched issues relating to Advanced Analytics and Advanced Data Mining using a wide range of techniques for over 30 years.
Specifically he proposed the first method for XML Data Mining which was able to mine structures.
He developed the most widely used methods for Load forecasting, System Price forecasting in deregulated systems and Medium Term Economic Production Planning for Hydro Thermal Systems.