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Bio

Cheng Chen is a Ph.D. student, who joined the Design Research Lab as a research assistant in summer 2018. His master thesis studies the effect of fourth-order moments to calculate droplet probability density functions using the Principle of Maximum Entropy. Currently, Cheng is working on the development of requirement change management by applying numerous numerical methods. He looks forward to contributing his knowledge and skills to design research community. His other interests include Machine Learning, Neural Networks, Parallel Computing, and Statistics.