I grew up in Emmaus, Pennsylvania and developed interests in chemistry and computer science in high school. I came to UConn to study chemical engineering, graduating in 2014. As an undergraduate, I worked on projects relating to process simulation and modeling and was offered to opportunity to continue my studies as a Ph.D. student. My current research is focused on the development of model reduction and optimization techniques that can be applied to a broad range of nonlinear systems. I have also been involved in model development and validation as well as lab-scale process prototyping.

Systems Engineering Focus

Key Active Research Projects

• High-fidelity thermofluid system modeling for chillers and chiller plants
• Algorithmic term and parameter elimination methods for model reduction
• Optimal design of experiments for reduced model selection

Future Directions

• Improved heuristics for reduced model generation
• Integrated ‘one-click’ model reduction framework for equation-based models

Key Skills/Capabilities

• Software & Languages: Modelica, MATLAB, Python, COMSOL, AspenPLUS, LabVIEW
• Model development
• Model reduction
• Research / Lab Website: http://pdsol.engr.uconn.edu

Contact Information

Email	brian.baillie@uconn.edu
Mailing Address	Center for Clean Energy Engineering University of Connecticut 44 Weaver Road, Unit 5233 , Storrs, CT 06269
Office Location	C2E2 103B, UTEB 268
Campus	Storrs
Link	http://pdsol.engr.uconn.edu