440 Huntington Avenue
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Boston, MA 02115
Zhengxing Chen is a 5-th year PhD student working with Professor Magy Seif El-Nasr. His research focus is on personalized recommendation systems for better player engagement in video games. He has broad interests in churn analysis, behavioral clustering, skill modeling, matchmaking and virtual team composition. His research approaches largely revolve around machine learning, data mining and artificial intelligence techniques. During his PhD study, he has done internships at Electronic Arts, eBay, Google and Facebook where he has used AI techniques to improve real-world user engagement problems. Prior to coming to Northeastern University, Zhengxing earned his Bachelor of Science degree at the Beijing University of Posts and Telecommunications in China in 2013.
- BS, Beijing University of Posts and Telecommunications – China
- Field of Study: Computer Science
- PhD Advisor: Magy Seif El-Nasr
What are the specifics of your graduate education (thus far)?
I study data science.
What are your research interests?
I am especially interested in player modeling, play style clustering, and virtual behavior prediction in video games using machine learning, data mining and statistical tests.
What’s one problem you’d like to solve with your research/work?
My PhD research topic, and the problem I would like to solve, is the prediction of video game outcomes, because not only can it help us to understand how humans and games interact, but it also helps to foster a fair and competitive gaming environment.
What are your research or career goals, going forward?
My long term career goal is to work on big game companies, using data analysis to improve the play experience of most popular games.