Pengfei Zheng

 

Postdoctoral Fellow

Department of Computer Sciences

University of Wisconsin-Madison

 

Biographical Sketch

 

 

I am a Postdoctoral Fellow in the Department of Computer Sciences at University of Wisconsin-Madison. I am interested in the design and development of quantitative methods towards system research. I work on artificial intelligence assisted performance diagnosis and optimization for large, complex systems. I also work on algorithmic decision-making for system scheduling and resource allocation. My faculty mentors are Prof. Aditya Akella and Prof. Shivaram Venkataraman. My postdoctoral research is supported by National Science Foundation (NSF) and Computer Research Association (CRA) Computing Innovation Fellowship.

 

I received my PhD degree in Computer Science from Duke University. My PhD advisor is Prof. Benjamin C. Lee and my dissertation is on machine learning for datacenter operations.

 

As a research intern, I am delighted to work with Dr. Kim Hazelwood at Facebook during the summer of 2017 and 2018, and deilighted to work with Jianming Zhang at Lenovo Research during the summer of 2019. Dr. Hazelwood work at the interface between systems and artificial intelligence, and servers as a manager at Facebook AI Infra Foundation and Facebook AI Research (FAIR). My intern project at Facebook is about understanding datacenter workloads at Facebook's scale with graph thoery and statistical semantic learning algorithms. During my internship, I also work closely with Dr. David Brooks, who is a Professor in Computer Science at Harvard University, and Dr. Xiaodong Wang, who is a Research Scientist at Facebook. After internship, I have been working for Facebook as a part-time researcher. My intern project at Lenovo is about causal inference for online performance diagnosis of containerized microservices and black-box optimization for micro-services performance recovery.

 

Before joining Duke, I studied Computer Science at  Xi'an Jiaotong University (XJTU). At XJTU, I worked on modeling computer system with statistical learning and econometric theories. As a student, I also visited The Institute of Computing Technology, Chinese Academy of Sciences, and the Trustworthy and Intelligent Internet Computing Laboratory, The Chinese University of Hong Kong for joint research projects.