Areas of Emphasis

Forums

Areas of Emphasis: Information Technologies and Applications

Chair

Insung Kang

Theme Program Brochures

Information Technologies and Application


Theme Description

In this theme, we discuss emerging theory and applications in information technology that touch upon our everyday lives. Thursday focuses on wireless systems and appliances, discussing state-of-the-art technologies for mobile communication systems and sensors, wireless power technologies, and current industry trends. Friday focuses on the interface between information technologies and entertainment, ranging from basic areas such as computer graphics, software engineering, and human-computer interface to application areas such as computer animation and infotainment. On Saturday, we change gears to discuss the broad area of data mining and visualization, including business intelligence, machine learning algorithms, pattern recognition, statistical analysis for large data, visual representations of data analysis, and applications to bio/neural systems, census, weather forecast, and economics.

Sessions

Mobile Systems

Moderator: Insung Kang
Research questions: What is the next big thing in the wireless communications?

Infortainment

Moderator: Taeyong Kim

Research questions:

  1. What are the state of the art in visual computing technology in the fields of movie making, game production, and design industry?
  2. What are the technical barriers in harnessing the latest technical advances into artists or other users’ hand?
  3. How do technical advances in one subfield affect related fields and in what ways? How do we facilitate sharing of ideas and technology between industries within infotainment? or even into other industries?

Data Mining/Visualization/Analysis

Moderator: Yoonsuck Choe

Research questions:

  1. Many areas of science and engineering are producing huge amounts of high-quality data. The overarching question is how can we effectively handle and analyze such “big data” to gain new insights and knowledge?
  2. How can we couple data mining techniques and visualization techniques for a more powerful method than the sum of the two?
  3. What insights can we gain by looking at big data issues in widely different areas such as neuroscience, medical science, geology and oil exploration, and cloud and internet?