Hao Feng is a Ph.D. candidate of the Department of Electrical Engineering at University of Southern California, Los Angeles, CA, USA, and has been working in Wireless Devices and Systems Group from 2010. In 2006 and 2008, he respectively got his B.S. Degree and M.S. Degree from Department of Information Science & Electronic Engineering at Zhejiang University, Hangzhou, P. R. China.
He received the best paper award in IEEE ICC 2016 conference, and was awarded Annenberg Graduate Fellowship for his Ph.D. study.
Address: 3740 McClintock Ave, EEB 522, Los Angeles, CA, 90089-2565
Cloud & wireless computing network control
Stochastic network optimization with various physical layer constraints and network structures
Ad-hoc networks & device-to-device network control
Wireless network localization
"Optimal Control of Distributed Computing Networks," Information Theory and Applications Workshop (ITA), San Diego, Feb. 2017
J3. H. Feng, J. Llorca, A. M. Tulino and A. F. Molisch, "Optimal Dynamic Service Optimization in Distributed Cloud Networks", in preparation
J4. H. Feng, J. Llorca, A. M. Tulino, A. F. Molisch, “Fast Approximation Algorithms for NFV Network Service Distribution Problems”, in preparation
C1. H. Feng, J. Llorca, A. M. Tulino, D. Raz and A. F. Molisch, "On the Delivery of Augmented Information Services over Wireless Computing Networks", accepted by IEEE International Conference on Communications (ICC), 2017
C2 H. Feng, J. Llorca, A. M. Tulino, D. Raz and A. F. Molisch, "Approximation Algorithms for the NFV Service Distribution Problem", accepted by IEEE International Conference on Computer Communications (INFOCOM), 2017
C4. H. Feng, J. Llorca, A. M. Tulino and A. F. Molisch, "Dynamic network service optimization in distributed cloud networks," IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), San Francisco, CA, 2016, pp. 300-305.
USC, EE 450 - Introduction to Computer Networks: Spring 2013
Stochastic Network Optimization; Wireless Communications; Convex Optimization; Combinatorial Optimization; Design and Analysis of Algorithms; Approximation Algorithms; Stochastic Control System; Random Process; Probability Theory; Linear Algebra; Computer Networks.