Heterogeneous Computing, Software Defined Networking, Machine Learning, High Performance Networking, Parallel and Distributed Processing, Embedded Systems.
Data analytics with machine learning, acceleration of network data plane, secure sharing of healthcare data, software defined networking, network measurement.
Dr. Yan Luo earned his Ph.D. in Computer Science from the University of California Riverside in 2005 and his BE and ME degrees from Huazhong University of Science and Technology in 1996 and 2000, respectively. While his research interest spans broadly computer architecture and network systems, Prof. Luo’s current research focuses on machine learning, heterogeneous architecture and systems, software defined networks. He has served on the program committee of numerous international conferences and as a guest editor and referee of premier journals. Prof. Luo directs the Laboratory of Advanced Computing and Networking Systems, which has been supported by National Science Foundation, Intel, Raytheon/BBN, Xilinx and Altera. Prof. Luo has published over 70 peer-reviewed journal and conference papers with two best paper awards. Prof. Luo is a member of IEEE and ACM.