00:01 | Hello everyone. My name is I am an associate professor at the |
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00:06 | of Computer science First. Let me all the new students who joined our |
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00:11 | is for I hope you have a start. Next I've introduced to use |
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00:16 | of the research work that my research is working on at the University of |
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00:22 | . Leading a research group called data and modeling was simply Darwin. My |
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00:29 | group currently has five active PhD students one undergraduate students. We have a |
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00:36 | lab with a few workstations for individual and three super workstations. We also |
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00:43 | an equivalent lab that is equipped with large scale display wall and a small |
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00:50 | clusters in general. Our group is research in two main directions data visualization |
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00:58 | various data problems and geometric modeling, processing to generate high quality measures for |
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01:05 | simulations and computations. The name of group actually came from these two directions |
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01:12 | far we have developed many innovative techniques software solutions for problems in these two |
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01:20 | . Many of these software tools are source and free for the public to |
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01:26 | . Now let's have a closer look these two main directions that we are |
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01:30 | on. First let's talk about data . Data visualization is not a common |
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01:37 | in most applications. It utilized the information processing capability of our visual perception |
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01:45 | combining with our knowledge to extract useful . Data visualization complements other data processing |
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01:54 | like data mining and machine learning in direction of data visualization. Our group |
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02:00 | numerous numerous techniques for the analysis and of factor value data like the velocity |
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02:07 | of fluid flow and aerodynamics systems, data are stemming from many critical applications |
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02:15 | as automobile, aircraft design, missile , climate study, oceanography, wind |
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02:22 | tide, energy harnessing and so We have also developed effective visualization system |
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02:29 | the processing and visualization of large scale complex microvascular networks. They are the |
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02:36 | blood vessels in tissues and organs. their structures and how the changes of |
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02:43 | structures relate to the progress of certain is important for the diagnosis of these |
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02:50 | and the development of their treatment. addition, we also developed visual analytics |
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02:58 | for the processing and visualization of other such as weather data, traffic data |
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03:05 | drilling drilling log data from oil and industry. Now let's move to the |
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03:12 | research direction that my group is focusing geo match modeling and geometry processing, |
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03:19 | for structured mass generation and optimization, high quality structure measures for the rise |
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03:27 | complex computation domain is the prerequisite of critical applications such as the mechanical and |
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03:36 | applications shown here without high quality The computations of these applications may fail |
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03:45 | adjust this challenge. Our group contributed few noble solutions to two steps of |
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03:52 | mashing process. First we developed a structured mass generation masses. Second, |
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03:59 | developed a few mesh optimization algorithms to the quality of the initially generated |
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04:07 | More importantly, we are the first introduce structure into the optimization of 3D |
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04:13 | measures. Since the constructive measures will used to perform right simulations and |
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04:20 | their quality highly impacts the simulation including its accuracy and convergence rate. |
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04:28 | are currently investigating an effective mesh quality to guide the optimization of mesh |
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04:35 | That will be a good indicator of simulation quality run on these measures for |
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04:43 | who wish to join my research You need to have strong programming skills |
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04:49 | C and C plus plus, strong structure and algorithm design skills being able |
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04:54 | develop efficient algorithm to solve different Solid mass background so that you can |
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05:01 | on theoretical part of the research. the spirit of exploration instinct of good |
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05:08 | . Sense of art will be a plus. Finally, I would like |
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05:14 | thank all my students and collaborators and funding agency and companies who supports my |
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05:20 | . Thank you for your |
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