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- BS, Beijing University of Posts and Telecommunications – China
- Field of Study: Recommendation Systems in Video Games
- PhD Advisor: Magy Seif El-Nasr
Zhengxing Chen is a 5th-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 also 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.
What are the specifics of your graduate education (thus far)?
I study Machine learning, AI, and Data Mining, and apply them on video game data.
What are your research interests?
I am especially interested in applying recommendation systems within video games for the purpose of improving player engagement.
What’s one problem you’d like to solve with your research/work?
Design effective, efficient, and scalable recommendation systems that can provide to players in-game element recommendations in real time and large scale.
What are your research or career goals, going forward?
My long term career goal is to apply my research on real-world user engagement problems.