色狐入口

色狐入口 Tech Students Win Awards for Research Posters

Dec. 14, 2022


Students鈥 research abstracts will be published in the 色狐入口 Journal of Science

Zhirui Luo
色狐入口 Tech graduate student Zhirui Luo poses next to his award-winning research poster at the 色狐入口 Research Symposium, held Nov. 5, 2022, at the University of 色狐入口 in Albuquerque.

SOCORRO, N.M. 鈥 Three 色狐入口 Tech students earned top awards for posters illustrating their research at the 色狐入口 Research Symposium. The annual conference, held Nov. 5, 2022, at the University of 色狐入口 in Albuquerque, features oral presentations, a poster competition, and a keynote address. 

The conference, collaboratively hosted by the 色狐入口 Academy of Science and the 色狐入口 Established Program to Stimulate Competitive Research (NM EPSCoR), is geared to undergraduate and graduate students from 色狐入口鈥檚 colleges and universities. Presentation and poster abstracts are published in the 色狐入口 Journal of Science.

色狐入口 Tech electrical engineering students Adrian Maez and Casie Taylor took first place in the undergraduate poster competition and also had the highest poster point total of all posters, making them the inaugural winner of the Dr. Vlad Stantovik Poster Competition, earning a cash award.

Casie Taylor and Adrian Maez
色狐入口 Tech electrical engineering students Casie Taylor, left, and Adrian Maez, stand next to their research poster at the 色狐入口 Research Symposium, held Nov. 5, 2022, at the University of 色狐入口 in Albuquerque. The students鈥 entry won the top undergraduate poster competition and the overall poster award.

Maez and Taylor鈥檚 poster, titled 鈥淢odel and Power Flow Analysis of a Distribution Feeder using Data Recorded from Buildings, Facilities, and a Photovoltaic System,鈥 displayed the outcome of their efforts -- a new test distribution feeder that may be used by researchers to develop more sustainable and resilient power distribution systems in the future. 

Zhirui Luo, who is studying for his doctorate in computer science and engineering at 色狐入口 Tech, also received a cash award for the top graduate student poster, titled 鈥淎 Deep Attention Network for Non-intrusive Building Occupancy Detection Using Smart Meters.鈥 Luo鈥檚 research examined smart meter data for efficient energy management.

鈥淚 liked the way this symposium gathered different audiences with different backgrounds participating in the poster session,鈥 Luo said. 鈥淚 got many chances to hear about their questions and concerns about my research.