Pengfei Wu Email & Phone Number

I received the B.S. , M.S. and PhD degree in Computer Science from Sichuan University, Chengdu, China, in 2011, 2014 and 2017, respectively. In 2013, I worked in Institute for Inforcomm Research, A*STAR, Singapore, as a research assistant. I am currently working as Sr Engineering Technologist, CTO Advanced Development in Dell EMC. Our work serves as an “early warning system” for nascent and emerging technologies by building exemplary proof of concepts and significantly influencing the corporate technical strategy of Dell EMC. My current research interests include blockchain, cloud computing, distributed/decentralized system, etc., and I have a strong background in computer vision, pattern recognition/machine learning and medical image analysis. I am a member of IEEE.Selected Publications:[1] P. Wu, Y. Liu, M. Ye, Z. Xu, and Y. Zheng, "Geometry Guided Multi-Scale Depth Map Fusion via Graph Optimization," IEEE Transactions on Image Processing, vol. PP, no. 99, pp. 1-1, 2017.[2] P. Wu, Y. Liu, M. Ye, J. Li, and S. Du, "Fast and Adaptive 3D Reconstruction With Extensively High Completeness," IEEE Transactions on Multimedia, vol. 19, no. 2, pp. 266-278, 2017.[3] P. Wu, Y. Liu, Y. Li, and B. Liu, "Robust Prostate Segmentation Using Intrinsic Properties of TRUS Images," IEEE Trans Med Imaging, vol. 34, no. 6, pp. 1321-35, Jun 2015.[4] Y. Liu, S. Yang, P. Wu, C. Li, and M. Yang, "L(1)-Norm Low-Rank Matrix Decomposition by Neural Networks and Mollifiers," IEEE Trans Neural Netw Learn Syst, vol. 27, no. 2, pp. 273-83, Feb 2016.[5] J. Li, Y. Liu, S. Du, P. Wu, and Z. Xu, "Hierarchical and Adaptive Phase Correlation for Precise Disparity Estimation of UAV Images," IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no. 12, pp. 7092-7104, 2016.

Listed skills include Research, Teamwork, C++, C, and 12 others.