Prof. Uzu-Kuei HSU (Hudson HSU)

Prof. Uzu-Kuei HSU (Hudson HSU)

Chair & Professor,
Bachelor Program in AI & Mechatronics,
National Pingtung University of Science and Technology (NPUST), Taiwan, ROC

Phone: +886-8-7703202ext.7207
E-mail: ukhsu@mail.npust.edu.tw

Education

Post-Doctor in Heart and Cardiovascular Research Center, 2006, National Cheng Kung University, Tiana, Taiwan
Ph.D. in Aeronautics and Astronautics, 2005, National Cheng Kung University, Tiana, Taiwan
M.S. in Military Aerospace and Airworthiness, 2000, Cranfield University, UK
M.S. in Aeronautics and Astronautics, 1999, Chung Cheng Institute of Technology, Tao-Yuan, Taiwan
B.S. in Department of Aeronautics Engineering, 1994, Air Force Aeronautics and Technology School, Kaohsiung, Taiwan
B.S. in Department of Psychology, 1991, National Taiwan University, Taipei, Taiwan

Specialty

CFD
Turbulence flow
Gas Turbine Engine
Shock Wave
Wind Engineering
Two Phase Flow
AIoT & IIoT
AI & Machine Learning
UAV Design
Smart Agriculture
STEAM Education

Experience

08/2020 – present Chair & Professor, Bachelor Program in AI & Mechatronics, National Pingtung University of Science and Technology (NPUST)

07/2022-09/2022 Visiting Professor, Dalum School, 2022, Denmark

03/2020 Fellow, International Alliance of Innovation and Invention Associations ( 33 national members )

08/2015–07/2020 Dean of Engineering, Air Force Institute of Technology (AFIT)

07/2015 – 07/2020 Professor, Department of Aircraft Engineering, AFIT

08/2012 – 07/2015 Director, Department of Aircraft Engineering, AFIT

08/2000 – 07/2015 Associate Professor, Department of Aircraft Engineering, AFIT

10/2006 – 08/2000 Assistant Professor, Department of Aircraft Engineering, AFIT

03/2001 – 09/2005 Instructor, Department of Aircraft Maintenance and Repair, AFIT

08/1997 – 12/1998 Researcher, Industrial Technology Research Institute

09/1994 – 08/1997 Aircraft Engineer, Taiwanese Air Force

Honor

Fellow, International Alliance of Innovation and Invention Associations (45 organizations in 35 countries), 2021
1st Presidential Commendation for the Promotion of Popular Science Education in Remote Areas, 2018
2nd Presidential Commendation for Elected to the Inventors Hall of Fame,2019
3rd Presidential Commendation for Awarded the Grand Star Diamond Medal in recognition of the contribution of inventions to mankind, 2021
4th Presidential Commendation for Outstanding Contribution to National Defense Weapons R&D, 2022
Best Paper Award, International Power and Renewable Energy Conference (IPREC), Germany, 2018
Best Paper Award, National Computational Fluid Dynamics, Taiwan, 2015
International Innovation and Invention Show / Competition: 36 Gold, 24 Silver, 14 bronze

Lab's name: Advanced UAV R&D Lab

- Lab's introduction

1. Multi-scale algorithm improvement for computational fluid dynamics (CFD)

Theoretical Innovation: In terms of numerical algorithms, the development of a solid-liquid coupling computational software for structural components and fluid has been carried out. This overcomes issues related to dynamic grid boundary displacement and flux calculation, making dynamic simulation models more practically applicable. For example, in the research on the two-dimensional dynamic flow field of an artificial heart valve, it was found that closure vortices strongly disturb the characteristics of backflow and affect the subsequent characteristics of the opening flow field. Based on the flow-solid coupling algorithm system developed in this study, it is known that the results obtained by solving different temporal sequences of the dynamic flow field of valve opening using the transient steady-state method in previous literature cannot accurately depict the flow field characteristics during the process of valve opening and closing. This leads to an overestimation of the degree of blood damage caused by backflow and leaflet edge clearance due to the inability to accurately simulate the effects of closure vortices.

Applied Technology: The developed algorithm can be successfully coupled with commercial CFD software to replace its deficiencies. It can effectively solve practical physical problems and has been successfully applied in various areas such as overall aircraft aerodynamic design, dynamic flow fields of turbo engines, and wind engineering analysis.

2. Development of a Hybrid Vertical Axis Wind Turbine

Theoretical Innovation: Vertical axis wind turbines can be classified into drag-type and lift-type turbines. Drag-type turbines have the advantage of easy start-up, while lift-type turbines exhibit high torque characteristics. In this study, a successful combination of drag-type and lift-type turbines was achieved to create an optimized hybrid wind turbine. Additionally, a flow-guiding plate was designed for the wind turbine to concentrate the wind force on the windward side of the drag-type blades, generating a larger positive rotational torque and reducing the reverse rotational torque of the drag-type blades. This helps to minimize the loss in wind energy conversion efficiency. The optimal angle of attack parameters were obtained using CFD methods to improve performance at low speeds and reduce drag at high speeds.

Applied Technology: By exploring relevant design parameters, the issue of low efficiency in vertical axis wind turbines has been addressed, making them suitable for small urban or residential wind turbine applications with promising prospects. Hongjindan Energy Technology Co., Ltd. has collaborated with this research to conduct experimental testing and has provided prototype manufacturing for verification and mass production based on the research findings related to design parameters.

3. Turbojet Engine Monitoring and Testing Method

Theoretical Innovation: The engine monitoring and diagnostic system is indeed a powerful tool for ensuring flight safety and reducing maintenance costs. Engine malfunctions are often the main threat to flight safety, making engine reliability a crucial consideration for aviation units. This research transforms the traditional maintenance approach for aviation engines (which relies on post-correction actions lacking effective predictive capabilities) into a "warning analysis" maintenance approach. The goal is to proactively enhance maintenance procedures and equipment reliability, achieving a streamlined, automated, and intelligent aviation engine maintenance process. Extensive numerical simulations and experimental data comparisons are employed, and a comprehensive engine fingerprint database is established. The development of the testing method involves conceptual design, theoretical research, program development, and system validation, incorporating expertise in aviation engine studies, computational fluid dynamics, expert systems, thermal experiments, and programming.

Applied Technology: The intelligent engine monitoring and assessment system developed in this research has been successfully implemented for online personnel at the Taitung Air Base of the Air Force. This integration of information technology in maintenance processes has greatly improved the efficiency of aviation engine maintenance operations. Official statistics estimate an annual cost saving of approximately NT$150 million (including the cost of preventing aircraft accidents) and a reduction of approximately 11,884 manpower hours in F-5 fighter jet maintenance.