Reliable Perception for Unmanned Maritime Systems
iMSEL in collaboration with electric engineering, computer science and engineering at UofSC, and Integer Technologies was awarded a project of $4.75 M by the Office of Naval Research (ONR) to develop reliable perception for unmanned maritime systems. This is the largest contract iMSEL has received to develop computer vision and AI-enabled sensor systems. Read more ...
Self-learning ground robotics for controlling combat mechanical systems and solving problems
An article about iMSEL's research with Army was published and highlighted on CEC's news on November 22, 2021 for developing "Self-learning ground robotics for controlling combat mechanical systems and solving problems".
The project sponsored by Army/ARL aims to develop an integrated plug-and-play (PnP) tool based on neural network models and Model Predictive Control (MPC) for real-time monitoring and control of mechanical systems. Read more ...
2021 Breakthrough Star Award
Dr. Wang was selected as one of the 12 recipients of the prestigious "2021 Breakthrough Star" award across all UofSC campuses for his outstanding accomplishments in "Reduced Order Modeling" research and technology development that aims to significantly reduce time and resource usage for computer modeling.
"Simulation and computing is a mainstay in engineering design, a mathematical modeling process that allows engineers to predict the behavior of a machine or system in real-world conditions. But if the datasets are huge and complex, modeling can take days or even weeks to sort out. That’s why Yi Wang is using a method called reduced-order models to speed things up." Read more ...
An Intelligent Framework of Adaptive Parametric Reduced Order Model Database for Aerostructural Control
An article about iMSEL's research with NASA was published and highlighted on CEC's news on July 7, 2020 for developing "Parametric Reduced Order Model (ROM) for Aerostructural Control".
The project sponsored by NASA/LaRC aims to Develop an “intelligent” framework to automatically build adaptive parametric reduced order model (PROM) database for aeroelastic (AE) / aeroservoelastic (ASE) analysis and aerostructural control. Read more ...
Spacecraft Water Environment Electrokinetic Pathogen Preconcentrator Systems (SWEEPPS)
As the program Principal Investigator (PI) in his former employment, Dr. Wang was interviewed by ABC WAYY 31 Channel on Dec. 16, 2014 in "Space Alabama" for developing "Spacecraft Water Environment Electrokinetic Pathogen Preconcentrator System (SWEEPPS)".
SWEEPPS sponsored by NASA/MSFC and NASA/JPL, is a filter-free, miniaturized device (smaller than a desktop computer) used to preconcentrate and monitor pathogens in the closed water system on spacecrafts and ISS. Read more ...
NASA SWEEPPS
Non-invasive Microfluidic Stem Cell Separation and Analysis
As the program Principal Investigator (PI) in his former employment, Dr. Wang was interviewed by ABC WAYY 31 Channel on May 28, 2015 in "Tech Alabama" for developing "Microfluidic Stem Cell Separation and Analysis Technology".
The project sponsored by three Army/DHA contract awards aims to develop an integrated microfluidic system for label-free and non-invasive separation of target stem cells from heterogeneous population and characterization of stem cell differentiation states. The technology has demonstrated critical military values in battlefield regenerative medicine for wounded warriors. Read more ...
