Diong has been an associate professor in the Department of Electrical Engineering at Kennesaw State University since 2011. After receiving his Ph.D. in electrical engineering, he was employed by Sundstrand Aerospace (now UTC Aerospace Systems) to perform research, design and development work on electric power generation, motor drive, power converter and magnetic bearing systems. He supported various military and commercial aircraft programs. After 3½ years in industry, he returned to academia and has been teaching since.
His research experience and interests lie within the broad area of power and energy; in particular, solar and wind energy systems, fuel cell systems, electric transportation and energy harvesting systems. Diong has authored or co-authored slightly more than 80 refereed journal and conference papers. In addition, he has been the PI or co-PI on over $1 million in grants obtained from entities such as the NSF, AFOSR, BMDO, EPA, Georgia Department of Transportation, Ford, and El Paso Electric.
Currently, he is the faculty co-advisor to the KSU Electric Vehicle student competition team. He has also served as the faculty advisor to students teams that participated in the Future Energy Challenge, and the People, Prosperity and the Planet (P3) sustainable design competition.
Industry Expertise (4)
Areas of Expertise (10)
University of Illinois at Urbana-Champaign: Ph.D., Electrical Engineering 1992
University of Illinois at Urbana-Champaign: M.S., Electrical Engineering 1988
University of Illinois at Urbana-Champaign: B.S., Electrical Engineering 1986
Event Appearances (3)
THD-Optimal Line-Load Neutral Voltages From Three-Phase Multilevel Inverters
IEEE International Conference on Power Electronics, Drives and Energy Systems Bangalore, India
Hybrid Single-Phase Multilevel Inverters as Renewable Energy Interfaces Considering THD, Modularity and Capacitor Recharging
IEEE Energy Conversion Congress and Exposition Raleigh, NC
Temperature and Fuel Flow Rate Dependence of the Parameters of an Equivalent Circuit Model of DMFC Dynamic Response
International Conference on Power and Energy Systems and Applications Pittsburgh, PA
Recent Papers (6)
A project was recently undertaken with the objective of designing a novel photovoltaic module, which encloses groups of solar cells that can track the sun. This will allow the module itself to be mounted simply at a fixed tilt but still reap the substantial energy collecting benefits presently associated only with rotating active and passive solar tracking panels, while avoiding their significant additional complexity, cost and weight. The main ultimate goal is to design such a module to collect at least 25% more energy than a similarly-sized fixed-tilt solar panel, while limiting its added production cost to less than 25%. This paper describes the module’s specific design requirements, and the analysis and design embodiments that have led to a few closely related prototypes based on bimetallic coil actuators. It also presents outdoor test (in the state of Georgia, USA) results showing that the most recent such prototypes collected just over 6% more energy than a similarly-sized fixed-tilt solar panel.
This paper describes a method of estimating the parameters of a second-order equivalent circuit model, a ﬁrst-order model being less accurate, for the direct methanol fuel cell from measurements of its responses to step-changes in load at various temperatures, fuel ﬂow rates and fuel concentrations.
This paper considers achieving the minimum total harmonic distortion (THD) or frequency-weighted THD (WTHD) of the staircase-modulated output voltage of single-phase multilevel inverters, with or without elimination of the lowest order harmonics.
The dynamic behavior of a fuel cell is integral to the overall stability and performance of the power system formed by the fuel supply, fuel cell stack, power conditioner, and electrical load. Present-day fuel cells have transient (dynamic) responses that are much slower than the responses of the typical power conditioner and load to which they are attached. This disparity has significant implications on the overall power system design. In particular, some form of energy storage with adequate quick charge/discharge capability is usually needed to provide firm power backup during electrical load increases.
This article describes the analysis of a new respiratory system model that could have properties favorable for disease detection, diagnosis, and treatment. First, we compare the performance of four well-known models to the performance of this new model by estimating their parameters and calculating the corresponding estimation errors. Next, this proposed extended RIC model's parameter estimates for ill and healthy subjects' data are compared to gauge their ability to discriminate between these groups.
Is Impulse Oscillometry System (IOS) a valuable tool to measure respiratory system function in Children?
Asthma (A) is the most prevalent chronic respiratory disease in children. Therefore, early and accurate assessment of respiratory function is of tremendous clinical interest in diagnosis, monitoring and treatment of respiratory conditions in this subpopulation.