Ph.D., Indiana University
A.B., Princeton University
Engineering Building, Q-15
I'm an Associate Professor in the Computer Science Department at SUNY Binghamton. Prior to that I was a post-doctoral fellow in the Extreme! Computing lab in the Indiana University Computer Science Department, and a research scientist in the Knowledge Acquisition and Projection Lab within the Pervasive Technology Labs at Indiana University.
I'm actively recruiting talented and motivated graduate students, and have some funding available, though primarily for Ph.D. students. I also am willing to direct some qualified independent study projects. If you see anything on this page that looks interesting, contact me to arrange a meeting.
Solving today's scientific challenges requires acquiring and analyzing tremendous amounts of data. The acquisition process must be properly managed to maximize the value of the data. Traditional management methods are typical local, ad hoc, and involve significant amounts of tedious human labor. This fails to maximize the value of the instruments and sensors used to acquire the data.
My work in this area thus seeks to manage and integrate the data acquisition process such that the resulting data can be seamlessly integrated into scientific practice. I also am interested integrating modeling into the acquisition process.
Web services has become the predominant communication paradigm for wide-scale, loosely-coupled, distributed systems. In part, this success can be attributed to the use of XML as a common language. The cost of parsing XML can be problematic, however, especially for scientific computing. This work seeks to address XML performance issues via a number of approaches.
Scientific computing frequently places demands on middleware that are unique from the demands of business computing. Scientific computing software usually requires much greater flexibility and ease-of-modification than business software. For example, a banking system may be relatively stable for long periods of time, but a scientist may need to mix-and-match various software pieces on a daily basis. Furthermore, some scientific computing requires extremely high performance (possibly parallel), which also involves issues different from business computing.
The CrystalGrid Framework PI: Kenneth Chiu. NSF Award IIS-0513687. September 2005-August 2008. $162,073. (Multi-institutional with Indiana University.)
Automating Scaling and Extending of Data Flow in a Network of Sensors: Towards a Global Network of Lakes PIs: Donald R. McMullen and Kenneth Chiu. NSF Award DBI-0446298. March 1, 2005-February 2008. $299,168. (A multi-institution project with Indiana University, University of California at San Diego, and University of Wisconsin at Madison.)
Instruments and Sensors as Network Services. PIs: Donald R. McMullen, Kenneth Chiu, Randall Bramley, and John Huffman. NSF Award OCI-0330568. September 2003-Aug 2006. $1,587,299.
Efficient Transfer of Data Between Distributed CCA Components using XCAT-C++/Proteus. PIs: Madhusudhan Govindaraju (lead) and Kenneth Chiu. Northrup-Grumman. October, 2005-October 2006. $10,000.
Advancing the Study of Human and Machine Learning Through Grid Computing. Kenneth Kurtz, Kenneth Chiu, Madhusudhan Govindaraju, Michael J. Lewis. Interdisciplinary Collaboration Grants (ICG), Research Foundation at SUNY Binghamton. $10,000. 5/15/2005-12/31/2005.
Scientific Instruments as ICT Components in Building a GrEMLIN for e-Research. A/Prof CJ Kepert, Prof David A. Abramson, Dr. Kenneth Chiu, Dr N Hauser, Prof MB Hursthouse, Dr DF McMullen, Prof BA Pailthorpe, Dr. P. Turner, Prof Albert Y Zomaya. Australian Research Council, Award SR0567533, $120,000 AUD. 2005-2006.
The Integration of Scientific Instruments into the Grid: Building Infrastructure for the Construction of a GrEMLIN. David Abramson, Kenneth Chiu, Rick McMullen, Peter Turner, Albert Zomaya. Funded by GrangeNet (Grid and Next Generation Network), Australia. $50,000 AUD. 2005-2006.