Chenyu "Victor" Huang
- Associate Professor
- Aviation Institute
- 120 CPACS
Additional Information
Bio
Dr. Huang is an associate professor in the Aviation Institute at the University of Nebraska Omaha (UNO) and a Distinguished Professor in Aviation at the University of Nebraska.
He also serves as the editor of Collegiate Aviation Review - International and on the leadership team for the FAA Center of Excellence for Technical Training and Human Performance. He holds a bachelor's degree in Electrical Engineering, earned Master’s Degrees in Air Transportation Planning and Management and Aerospace and Aviation Management, and a Ph.D. focusing on Aviation Technology from Purdue University.
He is an FAA-certified Advanced Ground Instructor, Private Pilot, and Remote Pilot. Dr. Huang has been actively conducting dynamic interdisciplinary research, intersecting aviation technology, data science, engineering, social science, and STEM-based education. His focus is on developing strategies to enhance aviation safety and crafting data-driven solutions for optimizing aircraft and airport operations.
Dr. Huang’s research, which includes data-driven modeling and decision-making, integrating computer vision with drone technology, dynamic integrated system development, aerial inspection, regulatory compliance, and aviation education, has been widely recognized. His work has been featured in esteemed journals, conferences, and book chapters. Dr. Huang is deeply involved in aviation education.
At UNO, he teaches courses encompassing uncrewed aircraft systems (UAS), aviation safety, general aviation, and transportation analysis and oversees the undergraduate capstone project design.
Education
Doctor of Philosophy (Ph.D.), Aviation Data Analytics, Aviation Safety Support Systems, Avionics, 2015-2017, Purdue University.
Master of Science (M.S.), Aviation and Aerospace Management, Aviation Operations, Aviation, 2014 – 2015, Purdue University.
Master of Science (M.S.), Air Traffic Management and Planning, minor in CAAC certified ATC program, 2012 – 2014, Civil Aviation Flight University of China.
Publications
Tsai, Chun-Hua and Huang, Chenyu Victor and Chen, Yu-Che and Zendejas, Edouardo and Krafka, Sarah and Zendejas, Jordan (2024). “Co-Design Smart Disaster Management Systems with Indigenous Communities.” Digital Government: Research and Practice, 5 (3): 1-21; DOI: here
Chen, Yu-Che, Huang, Chenyu. 2021. Smart Data-driven Policy on Unmanned Aircraft Systems (UAS): Analysis of Drone Users in U.S. Cities, Smart Cities, 4, 1, 78-92.DOI: here
Huang, C. (2020). Further Improving General Aviation Flight Safety: Analysis of Aircraft Accidents During Takeoff. Collegiate Aviation Review International, 38(1),88-105. Retrieved from here
Ahn, M., Chen, Y. C., Cho, K., Huang, C., Kim, Y., & Myeong, S. H. (2020, June). Toward effective and sustainable smart city model: case study exploration of varying smart city approaches and outcomes. In The 21st Annual International Conference on Digital Government Research (pp. 380-382). here
Huang, C. & Johnson, M.E. (2016). Fuel Flow Rate and Duration of General Aviation Landing and Takeoff Cycles. Proceedings of 16th AIAA Aviation Technology, Integration, and Operations Conference. (AIAA AVIATION Forum 2016-4366). Washington, DC. June 17, 2016. 18 pp. See here
Additional Information
Bio
Dr. Huang is an associate professor in the Aviation Institute at the University of Nebraska Omaha (UNO) and a Distinguished Professor in Aviation at the University of Nebraska.
He also serves as the editor of Collegiate Aviation Review - International and on the leadership team for the FAA Center of Excellence for Technical Training and Human Performance. He holds a bachelor's degree in Electrical Engineering, earned Master’s Degrees in Air Transportation Planning and Management and Aerospace and Aviation Management, and a Ph.D. focusing on Aviation Technology from Purdue University.
He is an FAA-certified Advanced Ground Instructor, Private Pilot, and Remote Pilot. Dr. Huang has been actively conducting dynamic interdisciplinary research, intersecting aviation technology, data science, engineering, social science, and STEM-based education. His focus is on developing strategies to enhance aviation safety and crafting data-driven solutions for optimizing aircraft and airport operations.
Dr. Huang’s research, which includes data-driven modeling and decision-making, integrating computer vision with drone technology, dynamic integrated system development, aerial inspection, regulatory compliance, and aviation education, has been widely recognized. His work has been featured in esteemed journals, conferences, and book chapters. Dr. Huang is deeply involved in aviation education.
At UNO, he teaches courses encompassing uncrewed aircraft systems (UAS), aviation safety, general aviation, and transportation analysis and oversees the undergraduate capstone project design.
Education
Doctor of Philosophy (Ph.D.), Aviation Data Analytics, Aviation Safety Support Systems, Avionics, 2015-2017, Purdue University.
Master of Science (M.S.), Aviation and Aerospace Management, Aviation Operations, Aviation, 2014 – 2015, Purdue University.
Master of Science (M.S.), Air Traffic Management and Planning, minor in CAAC certified ATC program, 2012 – 2014, Civil Aviation Flight University of China.
Publications
Tsai, Chun-Hua and Huang, Chenyu Victor and Chen, Yu-Che and Zendejas, Edouardo and Krafka, Sarah and Zendejas, Jordan (2024). “Co-Design Smart Disaster Management Systems with Indigenous Communities.” Digital Government: Research and Practice, 5 (3): 1-21; DOI: here
Chen, Yu-Che, Huang, Chenyu. 2021. Smart Data-driven Policy on Unmanned Aircraft Systems (UAS): Analysis of Drone Users in U.S. Cities, Smart Cities, 4, 1, 78-92.DOI: here
Huang, C. (2020). Further Improving General Aviation Flight Safety: Analysis of Aircraft Accidents During Takeoff. Collegiate Aviation Review International, 38(1),88-105. Retrieved from here
Ahn, M., Chen, Y. C., Cho, K., Huang, C., Kim, Y., & Myeong, S. H. (2020, June). Toward effective and sustainable smart city model: case study exploration of varying smart city approaches and outcomes. In The 21st Annual International Conference on Digital Government Research (pp. 380-382). here
Huang, C. & Johnson, M.E. (2016). Fuel Flow Rate and Duration of General Aviation Landing and Takeoff Cycles. Proceedings of 16th AIAA Aviation Technology, Integration, and Operations Conference. (AIAA AVIATION Forum 2016-4366). Washington, DC. June 17, 2016. 18 pp. See here