Rui Fan, Associate Professor

Rui Fan, Associate Professor

Tel:  (021) 20685372
Office: Room 1A-504E, SIST Building
Major: CS
Rui Fan Research Group Recruitment (Click Here)


  •     Parallel and distributed computing   

  •     Algorithms and lower bounds

  •     Big data, machine learning

  •     Energy efficient computing


      Rui Fan joined ShanghaiTech University as an associate professor, PI in December 2016.  Prior to this he was an assistant professor at Nanyang Technological University, Singapore.  He received his BSc in computer science and mathematics from Caltech in 2000, and his PhD in computer science from MIT in 2008.  He was a postdoc at the University of Toronto in 2008, and a Viterbi postdoc at the Technion, Israel in 2010.  His PhD dissertation received MIT's Sprowl's Award for best computer science theses.  He also received two best student paper awards at the ACM Principles of Distributed Computing (PODC) conference.

      His research interests span a number of topics in parallel and distributed computing.  He is especially interested in the design of efficient algorithms and algorithmic solutions to problems on large datasets.  Applications areas which interest him include machine learning, energy efficient computing, and managing large scale systems.  He also works on distributed algorithms and synchronization related issues, as well as computational lower bounds.


1.Zhang, Wei,Liu, Fang,and Fan, Rui.(2018).Improved thermal comfort modeling for smart buildings: A data analytics study.INTERNATIONAL JOURNAL OF ELECTRICAL POWER and ENERGY SYSTEMS,103,634-643.

2.Zhang, Wei,Wen, Yonggang,Liu, Fang,Chen, Yiqiang,and Fan, Rui.(2018).Fast media caching for geo-distributed data centers.COMPUTER COMMUNICATIONS,120,46-57.

3.Zhang, Wei,Fan, Rui,Wen, Yonggang,and Liu, Fang.(2018).Energy Optimal Wireless Data Transmission for Wearable Devices: A Compression Approach.IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY,67(10),9605-9618.

4.Pham, N. Q. A., Fan, R., and Cai, W. (2018, July). Optimizing Agent-Based Simulations for the GPU. In 2018 International Conference on High Performance Computing and Simulation (HPCS) (pp. 171-179). IEEE.

5.Pham Nguyen Quang Anh, Rui Fan and Yonggang Wen. Balanced Hashing and Efficient GPU Sparse General Matrix-Matrix Multiplication. In 30th International Conference on Supercomputing (ICS), 2016

6.Pan Lai, Rui Fan. Fast Optimal Nonconcave Resource Allocation. In IEEE Conference on Computer Communications 2015 (INFOCOM), 2015.