Research Bytes I
Professors Emmanuel Agu, David Brown, Michael Ciaraldi,
Matthew Ward, Daniel Dougherty, and Elke Rundensteiner
CS Department, WPI
Professors Emmanuel Agu, David Brown, Michael Ciaraldi, Matthew Ward, Daniel Dougherty, and Elke Rundensteiner will be giving brief presentations of their research areas. Everyone is invited to learn more about each professor’s research and the problems that he/she faces. Below are descriptions:
- Professor Emanuel Agu: Professor Agu's research interests are in mobile graphics, computer graphics, wireless networks and mobile computing. Most of this talk will focus on research directions in mobile graphics and his interests in rendering on mobile Graphics Processing Units (GPUs).
- Professor David Brown: My interests are Knowledge-based design systems, design theory, intelligent interfaces, and artificial intelligence.
- Professor Michael Ciaraldi: I am interested in a wide range of topics including software engineering, embedded systems, networking, and the social implications of computing. I have recently become more involved in autonomous/mobile robotics.
- Professor Matthew Ward: I am interested in mapping data and information into images, and interacting with those images in the process of data/information understanding and knowledge discovery. I'll describe some ongoing and proposed research activities in this area.
- Professor Daniel Dougherty: I am interested in Logic in Computer Science, specifically in applications of logic to programming languages and software engineering, verification, databases and the Semantic Web, and automated reasoning. I will describe some current projects and anticipated future research.
- Professor Elke Rundensteiner: Professor Rundensteiner's research projects cover different aspects of modern database technology in the general sense. Her recent projects, supported in part by the National Science Foundation and industry, focus on the development of novel query engines for advanced applications. As example, I'll describe the CAPE project that aims to build a scalable, distributed query engine for real-time monitoring of life sensor data streams. One application example targeted includes the monitoring and prediction of fire spread in a public building by querying real-time temperature and smoke data sensor streams.
Refreshments will be served.
Maintained by webmaster@wpi.eduLast modified: Sep 27, 2006, 16:05 EDT
