EDUCATION EXPERIENCE
Ph.D., Stanford University, 2006, Mechanical Engineering
M.S., Stanford University, 2001, Mechanical Engineering
B.S., Tsinghua University, 2000, Thermal Engineering
PROFESSIONAL EXPERIENCE
Clemson University, 2006 – present, Assistant Prof.
Stanford University, 2000 – 2006, Research Assistant
Lin Ma is a senior member of the AIAA, and member of the OSA and SAE. He was a recipient of the NSF CAREER award (2009) for his project entitled "Resolving Turbulence-Chemistry Interaction Using Novel Laser Diagnostics".
Research Topics:
Laser diagnostics for multiphase flows
Rapid and reliable measurements of critical properties in multiphase flows (e.g., temperature, vapor concentration, and droplets/particulates density) are highly desirable, and yet challenging, in many scientific and industrial applications. This research develops novel imaging techniques to address such important measurement needs. These techniques use wavelength-multiplexed absorption and photodissociation spectroscopy to overcome the challenges.
Tomographic imaging based on hyperspectral spectroscopy
This research seeks to significantly enhance the performance of tomography techniques using hyperspectral absorption spectroscopy. Traditional tomography techniques usually use a few wavelengths, which results in cumbersome experimental requirements and limited measurement capability. This research exploits the spectral information content enabled by hyperspectral lasers to reduce experimental complexity, improve imaging accuracy, and enable simultaneous monitoring of multiple properties (e.g., concentration and temperature).
Industrial applications
Besides their applications in scientific research, laser diagnostics have been proven to be superior to conventional methods in many industrial applications. These laser-based methods have shown good perspective to solve problems now confronting industry, such as temperature and pollutants monitoring. Fuel monitoring and control are critical to most combustion applications. Therefore, a natural and important research topic is to adopt such diagnostics to industrial applications. |