Keynotes Speakers

 

Professor Dr. Kelvin Sung  (http://faculty.washington.edu/ksung/)
Computing and Software Systems
University of Washington Bothell

Learnings from Building Videogames for Learning


In 2006, funded by Microsoft Research, we began to investigate approaches to harvest the energy and passion for videogames from the youth in engaging them in learning the knowledge and majoring in the discipline that produced these games—Computer Science (CS). Our initial efforts focused on simple game-like assignments which challenged students in programming with relevant CS concepts. These results led to funding from the US National Science Foundation in supporting our attempts at building custom videogame application programming interfaces (API) designed for students to build simple videogames while learning specific programming concepts, e.g., conditional, repetitions, arrays. We have developed an elaborate series of tutorials to accompany each API, including instructional videos and sample videogames, to illustrate how fun and engaging games can be build based on the CS concepts (http://ccc.panitzco.com/mpanitz/GTCS1/Tutorials/Tutorials.html). In parallel, our research group has been successful in securing funding to commercialize different versions of videogames build based on these APIs.
This talk begins with a brief survey of the current state of integrating videogames into typical CS courses; follows with the discussion of our journey from building primitive game-like assignments to the custom APIs designed for students with no programming background; and eventually to our current commercialization initiatives. The talk will emphasized on our learnings along the way including pitfalls to avoid, best practices to follow when integrating videogame development into CS courses, and most importantly, learning opportunities for students to take advantage during the process of producing commercial videogames.

 

 

Assistant Professor Surapong Lertsithichai
Fine and Applied Arts Division
Mahidol University International College

 

 

 

 

 

 

 

Professor Ir. Dr. Riza Sulaiman
Faculty of Information Science and Technology
Universiti Kebangsaan Malaysia

Real-Time Intelligent
Visual Inspection : Trend And Challenges

Manufacturing industries are very competitive, every company jostled to be efficient, effective and flexible. Productivity improvement of industry has to be done to keep the company competitive. In industrial environment, the improvement of productivity is done by developing machines with automated processes. Automation substitute manual control with machine to make human task easier. System automation could be done in many ways and one of them is to use Programmable Logic Controller (PLC). The usages of PLC integrated with addition modules are common today. Addition modules could make PLC more intelligent, autonomous and has more effective control function.  There are many kinds of intelligent control system application, i.e. long distance control system application, visual inspection system, flexible-manufacturing system, and fuzzy control. However, additional modules are not easy to do, it needs extra cost. Furthermore, each module is not always suitable to any kind of PLC produced by different manufacture. This research proposes a solution of how to integrate visual inspection system to bottling system, which is controlled by PLC without additional module. The trends and challenges of these systems were also been investigated.

 

The research uses bottling inspection system as the case study. There are three decisions taken according in the result analysis, (i) to accept the bottle if bottle’s size fit with standard bottle A, (ii) to accept bottle if bottle’s size fit with standard bottle B, and (iii) to reject the bottle if bottle’s size do not fit with both standard bottle A and standard bottle B. Furthermore, these decisions are sent to PLC through wire which is connected to parallel port. Test result of 400 samples taken indicates that the decision is precise with the actual condition of the tested bottle.

 

Associate Professor Dr. Rahmita Wirza O.K. Rahmat (http://profile.upm.edu.my/rahmita/profail.html)
Faculty of Computer Science and Information Technology
Universiti Putra Malaysia

 

Motivated by an effort to improve overall human health, the CASD (Computer Assisted Surgery and Diagnostic) team finds purposes to research and to pursue the effective use of medical data, information and knowledge, for scientific inquiry, problem solving and decision making. It is a fact that professionals in the medical fields are facing an increasing quantity of highly complex, multi-dimensional and weakly structured data in their daily task to support diagnosis as well as decision making. The team believed that the competitiveness of the cardiothoracic treatment care field can be enhanced by an organized cardiothoracic treatment monitoring,  patients’ data processing, analysis and 3D analytical visualization.  There are vast amounts of clinical data; some are digitally stored in heterogeneous platform form while others are still recorded on paper. These collections of data are naturally, highly complex, multi-dimensional, and unstructured. Thus, medical practitioners cannot effectively integrate, apply and manipulate all this data into knowledge for strategic clinical decision. The team work together to integrate the Cardiothoracic Healthcare knowledge into a unified framework and transform the existing way of organising information into a supportive ecosystem for strategic clinical decision making and visualize them according to the clinical expert requirement.

The team divided the work into several modules, which include:

  • Intelligent data analysis module for cardiothoracic clinical research in pre, inter and post-surgery,
  • Associating one or more features extracted for a better visualization and the reconstruction of the fused features into new 3D cardiac informative visual model, and
  • Image analysis with rules base decision support that integrate with the PAC system.

Currently, available systems are typically limited to clinical records storage and display, with no features for intuitive and automated decision making. Surgeons still need to go through the traditional decision making process in dealing with surgery care problems. The lack of intelligent, analytical visualization techniques and mobile integration in the current system results in limited diagnosis assistance for the surgeons in challenging environment.

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