|Brian G. Buss|
My research interests include modeling and system identification, optimal control, stochastic systems, and biomedical applications of control. Some of my projects in these areas are described below.
Critically ill patients often present poor glycemic regulation. To manage glucose in the ICU, many hospitals use continuous insulin infusions adjusted according to a written protocol. Such protocols are usually developed by trial and error, and many different protocols are in use.
This project, directed by Prof. Jessy Grizzle and Roma Gianchandani, MD, aims to improve ICU outcomes by facilitating better glycemic control. Our approach invovles the development of a patient simulation model. This model can be used to compare, evaluate, and adapt a protocol, whether written or computerized.
The model and some initial protocol improvement results were presented in a poster at ENDO 2011: The Endocrine Society's 93rd Annual Meeting and Expo. Click on the image below to view a copy of the poster.
This material is based upon work supported by the National Science Foundation through an NSF Graduate Research Fellowship.
Any opinions, findings, and conclusions or recommendations expressed in this material are those of the author(s) and do not necessarily reflect the views of the National Science Foundation.
As an undergraduate student at Brigham Young University I benefitted from the mentoring of Dr. Michael Goodrich in a project focused on helping search and rescue teams quickly locate victims lost in the wilderness. I was first attracted to this project because of my experience as a volunteer on the Utah County Explorer Search and Rescue team.
I studied mathematical structures which could be used to model wilderness environments and human agents. I then developed probabilistic models for the movement of a lost person in unfamiliar terrain and researched techniques for statistical modeling and analysis. Most of the techincal work involved simulation and analysis in MATLAB.
However, as part of a larger team developing technologies to enable the use of unmanned aerial vehicles (UAVs) for search and rescue, I also advised professors and other students on factors relevant to search and rescue and helped coordinate and carry out field testing of new UAV technologies.
As part of the DARPA Urban Challenge team at Brigham Young University, I led the laser rangefinder team. We researched and implemented feature extraction algorithms for use with rangefinder point data. This work required also a study of environmental modeling and mapping techniques. We developed a feature correspondence algorithm for tracking objects temporally in sensor data. The guidance of Dr. D.J. Lee improved our efforts and inspired me to pursue further education.
Under the mentorship of Dr. Aaron Hawkins and Dr. Stephen Schultz I aided in the analysis, refinement, and testing of a system for imaging based on electrical impedance. An XYZ stage scanned a small probe over a sample such as a cluster of cancer cells or a butterfly wing (shown), measuring the impedance in a fine grid. I performed numerous experiments and designed scan control software and analysis tools.