UTC-IASE Graduate Fellows

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:

Current

Zhang, Danxu

Yan, Wei

Thota, Pavan

Shi, Qingchuan

Palmer, Kyle

Mittal, Khushboo

Ibrahim, Hebatullah

Hale, William

Fontaine, Daniel

Baillie, Brian

Past

Ulatowski, Artur

Kyle Palmer

Graduate Assistant |  Chemical & Biomolecular Engineering

I grew up in Oregon City, Oregon, just 30 minutes away from Portland. At school, I always had an interest and a knack for math and science, particularly chemistry. When given the choice between careers in science or engineering, I chose engineering because of its practical applications and the benefits it can bring to industry. In 2013, I acquired BS degrees in chemical engineering and biological engineering at Montana State University. Less than 3 weeks later, I moved to Connecticut and am pursuing a doctorate in chemical engineering, specializing in simulations and model-based optimizations. Thanks to the ongoing collaboration with UTC (particularly UTAS and SCE) I have been shown on many occasions what engineering in industry entails, through experiences I would not have received through graduate school alone.

Systems Engineering Focus

Key Active Research Projects

  • Optimal test designs in fault identification involving model-based methodologies
  • Fouling detection in aircraft environmental control systems
  • Cross-flow heat exchanger models compatible with multi-component systems modeling

Future Directions

  • Minimization of the effects of uncertainty in fault detection and isolation
  • Application of optimal test methods to full-scale system models

Key Skills/Capabilities

  • Modelica & Dymola
  • MATLAB
  • Python
  • COMSOL
  • Research / Lab Website: http://pdsol.engr.uconn.edu/

Kyle palmer

Email kyle.palmer@uconn.edu
Phone (971) 678-5586
Mailing Address

Center for Clean Energy Engineering University of Connecticut 44 Weaver Road, Unit 5233 Storrs, CT 06269
Office Location C2E2 A105
Campus Depot
URL http://pdsol.engr.uconn.edu/