CORPUS CHRISTI, Texas – Texas A&M University-Corpus Christi has announced six $5,000 grants to expand research of unmanned aircraft systems (UAS) in business, literature, and science.
The research enhancement grants from the Division of Research, Commercialization and Outreach aim to accelerate research in this new aerospace field.
“A&M-Corpus Christi is proud to be the home of unmanned flight, and these grants show that the future of UAS involves all fields of research,” said Dr. Luis Cifuentes, Vice President for Research, Commercialization and Outreach. “Unmanned aircraft has the power to change every aspect of our lives – from how we see the world to how we recover from storms. These professors are on the leading edge of research that will be widely adopted when unmanned flight takes off.”
Those receiving grants and a summary of their projects follow.
Dr. Kelly Bezio, Assistant Professor of English, College of Liberal Arts, will study UAS in literature and examine whether what has been written about UAS is changing the way we see ourselves.
Dr. Lucy Huang, Associate Professor of Computer Science, College of Science and Engineering, will compare the accuracy of UAS-captured imagery to satellite imagery for use in measuring shoreline and assessing storm damage.
Dr. Jinha Jung, Assistant Professor of Engineering, College of Science and Engineering, will enhance UAS research collaboration by establishing an online system capable of handling high-volume data captured with UAS that can be difficult to process and analyze.
Dr. Isaac Kim, Assistant Professor of Engineering, College of Science and Engineering, will work to develop a small sensor that can be put on a UAS to detect dangerous chemicals such as methane.
Dr. Scott Sherman, Associate Professor of Management, College of Business, will work with the Lone Star UAS Center to identify and develop business strategies for UAS ventures that can be operated efficiently, effectively, and profitably.
Dr. Dugan Um, Associate Professor of Engineering, College of Science and Engineering, will develop plans for an affordable, lightweight 3-D scanning system to mount on UAS to detect other UAS and flying objects.