In order to further improve the intelligence of the computer-aided design, we established a mechanism for the automatic addition and deletion of optical elements in lens optimization. The criteria used in the scheme employs two lens form parameters, quantifying the symmetry of the optical system and the optical power distribution among the individual lens elements. Experiments show that the scheme is capable of selecting the optimum position for adding an optical surface or element when it is needed to overcome the stagnation of an optimization process, and of observing and deleting a redundant element automatically without impairing the performance of the system.
I am also taking part in the project of setting up an expert system for the automatic generation of the initial layout of a zoom lens. It includes the development of optimization algorithms to determine the Gaussian parameters for different zoom mechanisms, and the establishment of a lens group database from which the structure of each lens group in a zoom system can be selected according to the specifications.
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Xuemin receiving 2003 Award Certificate from Tina Kidger St Etienne, France, 30 Sep 03
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Another aspect of optimization that I am planning to study is the way to deal with discrete variables, namely glass materials. I think that optimization algorithms, such as those available using neural network techniques, should be able to handle the glass variables effectively, provided we give the program a correct model of the optical design problem.
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Update 2020
Xuemin Cheng is currently an associate professor of Tsinghua University (Shenzhen International Graduate School). Her research interests are optical design and engineering, including: imaging system design, illumination system design and optical modeling and simulation. Her current projects include: stabilized zoom lens design and application, instrumentation on polarized microscopy, instrumentation on plankton imaging and classification, compressive imaging and smart imaging through scattering mediums. Recently an image processing and identification device has passed inspection and approval. The device can be used for in-situ monitoring and intelligent identification of various dominant plankton such as: copepods, medusae, chaetognath, fish larvae and noctiluca. It has good application prospects in marine ecological management and can provide forecasts and early warnings for potential ecological disasters.
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Xuemin 2020
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Update 2010
Dr. Xuemin Cheng received her PhD degrees in optical engineering from Beijing Institute of Technology in 2004. In 2006 her doctoral dissertation was awarded the National Excellent Doctoral Dissertation in China. She is currently an associate professor of optics in the Graduate School in Shenzhen, Tsinghua University. Her research areas are intelligent computer-aided design (ICAD) of optical systems, aspheric lens design and fabrication, and optical data storage. Her current projects focus on optical engine modules of complex optical systems, the R&D and industrialization of high-density optical memory technology, and intelligent interactive projection systems.
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