Lydia Dong
Email: iccms@iacsit.org
Tel: +86-28-86528758
The 10th International Conference on Computer Modeling and Simulation
ICCMS 2018   Sydney, Australia   January 8-10, 2018

 

Keynote Speakers


 

Prof. Ghassan Beydoun
University of Technology Sydney, Australia

Professor Ghassan Beydoun is currently based at the Faculty of Engineering and Information Technology in University of Technology Sydney, where he is also deputy Head of School (Research) Systems, Management and Leadership at the University of Technology Sydney. He is also an adjunct senior research fellow at the School of Information Systems, Management and Technology at the University of New South Wales, an associate editor of the International Journal of Intelligent Information Technologies (IJIIT) and an Editorial member of the Journal of Software. He received a degree in computer science and a PhD degree in knowledge systems from the University of New South Wales in 2000. His research interests include multi agent systems applications, ontologies and their applications, and knowledge acquisition. He is currently working on a project sponsored by an Australian Research Council Discovery Grant to investigate the best uses of ontologies in developing methodologies for complex systems and another project with SES on exploring the use of ontologies for flood management decision support. He has authored more than 100 journal and conference papers in these areas over the past 15 years. His most recent publication appeared in IEEE Transactions of Software Engineering, Information Systems journal , Information and Management, International Journal of Human Computer Studies, Information Processing and management and others.


 

Prof. William Guo
Central Queensland University, Australia

Professor William Guo teaches and researches in computation and applied mathematics at Central Queensland University Australia (CQU). He was the Dean of the School of Engineering and Technology at CQU from Jan 2014-Jan 2015, and the Deputy Dean of the School from Feb 2013-Jan 2014. He has significant experience in academic governance through his services in various committees and boards since 2009, including CQU Education Committee (2011-2012), CQU Academic Board (2013-2014), and Australian Council of Deans of ICT (2013-), and as an Executive Member of Australian Council of Professors and Heads of IS (2012-). His teaching over the past 13 years has covered data structures and algorithms analysis, computational intelligence, systems analysis and architecture, IT/IS project management, e-Business, digital forensics, information security, research methods, and engineering mathematics. He was the recipient of CQU Vice-Chancellor’s Award for Good Practice in Learning and Teaching (2012) and Commendation in Student Voice Awards (2014). His research interests include computational intelligence, image processing, bioinformatics, big data modelling and simulation. He has published more than seventy papers in international journals and conference proceedings, and a new text (published by Pearson) in advanced engineering mathematics in 2014. He has supervised research higher degree students to completion. He is a member of IEEE, ACM, ACS, and Australian Mathematics Society (AUSTMS).


 

Prof. Girija Chetty
University of Canberra, Australia

Dr. Girija Chetty has a Bachelors and Masters degree in Electrical Engineering and Computer Science, and PhD in Information Sciences and Engineering from Australia. She has more than 25 years of experience in Industry, Research and Teaching from Universities and Research and Development Companies from India and Australia, and has held several leadership positions including Head of Software Engineering and Computer Science, and Course Director for Master of Computing Course. Currently, she is the Head of Multimodal Systems and Information Fusion Group in University of Canberra, Australia, and leads a research group with several PhD students, Post Docs, research assistants and regular International and National visiting researchers. She is a Senior Member of IEEE, USA, and senior member of Australian Computer Society, and her research interests are in the area of multimodal systems, computer vision, pattern recognition and image processing. She has published extensively with more than 120 fully refereed publications in several invited book chapters, edited books, high quality conference and journals, and she is in the editorial boards, technical review committees and regular reviewer for several IEEE, Elsevier and IET journals in Computer Vision, Pattern Recognition and Image Processing.


 

Plenary Speakers


 
 

 

Prof. Jun Shen
University of Wollongong, Australia

Dr. Jun Shen was awarded PhD in 2001 at Southeast University, China. He held positions at Swinburne University of Technology in Melbourne and University of South Australia in Adelaide before 2006. He is an Associate Professor in School of Computing and Information Technology at University of Wollongong in Wollongong, NSW of Australia. He is a Senior Member of three institutions: IEEE, ACM and ACS. He has published more than 120 papers in prestigious journals (including IEEE Transactions) and conferences (for example, IEEE Big Data) in CS/IT areas, in particular on computational intelligence topics. His expertise includes Web services, Cloud computing and learning technologies including MOOC. He has been Editor, PC Chair, Guest Editor, PC Member for numerous journals and conferences published by IEEE, ACM, Elsevier and Springer. A/Prof Shen is also a current member of ACM/AIS Task Force on Curriculum MSIS 2016.

 

MLaaS(Micro Learning as a Service): taking advantage of fragmented time for fragmented knowledge

Abstract: Open learning is a rising trend in the educational sector and it attracts millions of learners to be engaged to enjoy massive latest and free open education resources (OERs). Through the use of mobile devices, open learning is often carried out in a micro learning mode, where each unit of learning activity is commonly shorter than 15 minutes. Learners are often at a loss in the process of choosing OER leading to their long term objectives and short term demands. MLaaS is a smart system to deliver personalized OER with micro learning to satisfy their real-time needs, while its decision-making process is scarcely supported due to the lack of historical data. Inspired by this, MLaaS embeds a new solution to tackle the cold start problem, by opening up a brand new profile for each learner and delivering them the first resources in their fresh start learning journey. In this work, we also propose an ontology-based mechanism for learning prediction and recommendation.


 

Prof. Wernhuar Tarng
National Tsing Hua University, Taiwan

Wernhuar Tarng is currently a professor at the Institute of Learning Science and Technology, National Tsing Hua University, Hsinchu, Taiwan. He was the director of Computing and Networking Center, National Hsinchu University of Education, Taiwan from 1993 to 2004 and the chairman of the Graduate Institute of Computer Science from 2008 to 2012. From 1980, Prof. Tarng conducted his undergraduate study at National Chiao Tung University, Hsinchu, Taiwan and he was graduated from the Department of Control Engineering in 1984. He received his M.S. degree (1987) and Ph.D. degree (1992) from the Department of Electrical and Computer Engineering, State University of New York at Buffalo, USA. Prof. Tarng has received more than 20 grant projects funded by Ministry of Science and Technology (MOST), Taiwan and published over 100 research papers in the field of computer science, engineering, networking, and learning technologies. Prof. Tarng was a visiting professor of Distant and Online Learning Center, Oxford University, UK in 2002 and a visiting scholar at Hear and Say Centre, Brisbane, Australia from 2014 to 2015. His current research interests include: e-Learning technologies, virtual reality, augmented reality, game-based learning, image processing, pattern recognition, computer architecture, and computer networking.

 

Applications of Virtual Reality and Gamification in Learning Nanotechnology

Abstract: Nanotechnology is one of the most advanced technologies in 21st century, and its  applicaitons promote the development of related industries and the global economy. To increase the national competitiveness, Ministry of Science and Technology (MOST), Taiwan initiated "National Science and Technology Program for Nanoscience and Nanotechnology" in 2002. The goal is to establish an effective mechanism for training personnel  with special skills in nanotechnology as well as promoting the development of nanotechnology industry. Ministry of Education started "Nanotechnology Human Resource Development Program" in 2003 wiht the objective of training talented personnel in all categories to achieve the popular science education and enhance the technological literacy of the entire people. With the efforts in recent years, schools at all levels have a variety of teaching materials in nanotechnology as well as the realted cirriculums. Because nannostructures cannot be seen with naked eyes or by using general microscopes, it is not an easy task for students to observe microscopic phenomena in  natural environments to understand their principles. In recent years, many high-tech instruments have been developped for investigating the nanostructures of materials. However, they are very expensive and not easy to operate such that most schools cannot provide students with this kind of equipments for teaching purposes. Based on the research results of advanced nanotechnology and basic concepts of new scientific knowledge, this study combines the virtual reality technology and the game-based learning theory to develop course modules for applications in learning nanotechnology by concretizing and simplifying the abstract and complex knowledge and making them more interesting. Users can enter the microscopic world to observe nanoscale phenomena with the apps on mobile devices to enhance their learning motivation and learning effectiveness through motion-sensing operation and 3D interaction. Therefore, they are suitable assistant tools for nanotechnology curriculums in elementary and secondary schools. This study uses innovative learning technologies to cultivate students' scientific spirits and attitudes as well as their explorative and problem-solving abilities. They can practice repeatedly anytime and anywhere in learning nanotechnology to understand its concepts through 3D immersive interaction, and thus very helpful for enhancing the related knowledge and scientific literacy.


 

Invited Speaker


 
 

 

Prof. Eric Jiang
University of San Diego, USA

Professor Jiang has been a member of Shiley-Marcos School of Engineering, University of San Diego, USA since 1998.
Professor Jiang's research has been in parallel computing, information retrieval, data mining, Web link analysis and mining, machine learning and scientific computation. He has co-authored a book "Nonlinear Numerical Analysis and Optimization" and has published papers in several edited books and in journals such as Neural, Parallel & Scientific Computations, Numerical Linear Algebra with Applications, International Journal of Knowledge-based Intelligent Engineering Systems. Professor Jiang has also given a number of presentations at international conferences, workshops and invited seminars. Since 2010, he has been serving on the editorial board of International Journal of Intelligent Data Analysis.
Professor Jiang has taught a variety of courses at USD, including computer programming, object-oriented design, data structures and algorithm analysis, operating systems, programming languages, digital modeling, data mining and neural networks. In addition to teaching regular courses, Professor Jiang has advised computer science research projects, independent studies and Honors theses in database design and management, information retrieval modeling, data mining and predictive analysis, genetic algorithms and applications. He has also participated in teaching team-taught interdisciplinary courses for the Honors Program at USD.