The primary goal of the UTC-IASE Graduate Fellowship Program - sponsored by United Technologies Corporation - is to attract exceptional students for graduate studies leading to Masters or Doctoral degrees in the field of systems engineering related to model-based design and the development of complex systems. These fellowships help to better cultivate ties with UTC business units, work closely with UConn faculty, UTC scientists and engineers, and to help meet the critical needs of the nation in the design of high performance, reliable and cost-effective systems. These fellowships are highly competitive and the current awardees are listed below:

Zhang, Danxu

Yan, Wei

Thota, Pavan

Shi, Qingchuan

Palmer, Kyle

Mittal, Khushboo

Ibrahim, Hebatullah

Hale, William

Fontaine, Daniel

Baillie, Brian

Past

Ulatowski, Artur

Ph.D. student | Chemical and Biomolecular Engineering

I am from Salem, NH, a moderately sized suburb north of Boston, MA right over the NH border. Growing up, it was clear to me that I wanted to attend higher education and after doing well in math and science in high school I decided to pursue engineering due to its practical applications in everyday life. After applying to several schools in the northeast, I decided to attend UConn to obtain an undergraduate degree in Chemical and Biomolecular Engineering and graduated Magna Cum Laude in 2014. With an interest in modeling, simulation and optimization, I continued my education at UConn under a UTC Graduate Fellowship to obtain a PhD. During this time, I have been studying the modeling of thermal fluid systems and its applications to robust design and fault detection and isolation. Outside of school, other interests of mine include working out, participating in sports, cheering on the Boston sports teams (and of course UConn), playing video games with my friends and both singing (badly) and listening to music.

Systems Engineering Focus

Key Active Research Projects

• Active Fault Detection and Isolation of Thermal Fluid Systems
• False Alarm Elimination Given Thermal Fluid System Uncertainties
• Optimization of Robust Thermal Fluid Systems

Future Directions

• Robust System Design for Fault Minimization
• System Design Analysis of Dynamic Operating Envelopes for Robust Performance
• Built-In Test Design for Improved Fault Detection and Isolation

Key Skills/Capabilities

• Computer Programs & Languages: COMSOL, Dymola, MATLAB, Modelica, Python, SIMULINK
• Fault Detection and Isolation Methods
• Research / Lab Website: http://pdsol.engr.uconn.edu/