440 Huntington Avenue
472 West Village H
Boston, MA 02115
Rundong Li is a PhD student studying data mining and database at Northeastern University’s College of Computer and Information Science, advised by Professor Mirek Riedewald. His studies specifically include big data analysis and parallel data processing.
Rundong received his undergraduate and master’s degrees in computer science from Peking University. He also has a Bachelor of Science (double degree) in Mathematics.
- MS in Computer Science, Peking University – China
- BS in Computer Science and Mathematics, Peking University – China
- Hometown: China
- Field of Study: Database and Data Mining
- PhD Advisor: Mirek Riedewald
What are the specifics of your graduate education (thus far)?
I finished taking courses, but I am working as a teaching assistant and/or research assistant, attending research meetings with my advisors and other professors and students, and attending seminars.
What are your research interests?
I’m interested in efficient parallelization of large data processing tasks, which is one of the research paths that I had in mind before I started pursuing a PhD degree.
What’s one problem you’d like to solve with your research/work?
I’d like to explore different ways of partitioning and distributing input data to accommodate given computation tasks in a shared-nothing architecture such as MapReduce frameworks.
What aspect of what you do is most interesting?
What is most interesting is the knowledge hidden in the “big data” and the certain ways to extract useful information from this data is fascinating to me. By distributing data and assigning computing tasks to computation clusters, one can potentially obtain results much faster, and oftentimes there are unexpected challenges preventing one from achieving the optimal efficiency or balance between speed-ups and resource usage.
What are your research or career goals, going forward?
I’d like to explore more in my research of interest and hopefully put concrete results into practical use.