Published over 40 papers as the first author in high-level international journals such as IEEE Transactions on Dependable and Security Computing and IEEE Transactions on Automation Science and Engineering, and in conferences like ICC, IEEE Services, and IEEE GRID. Authored the book 'Data Center Resource Optimization Scheduling: Theory and Practice' published by China Electronics Industry Press and 'Optimized Cloud Resource Management and Scheduling: Theory and Practice' published by Morgan Kaufmann. Holds 6 patents and 5 software copyrights related to cloud computing and big data processing. Received the UESTC Annual Science and Technology Figure Award in 2012 and the First CCF Rhinoceros Bird Fund Award in 2013.
Research Experience
Started developing a cloud computing virtual laboratory system in 2008; led the first batch of cloud computing projects for Huawei in 2009; collaborated with Sichuan Jiuzhou Group to develop an RFID middleware system ARMMS in 2010; collaborated with Tencent to develop a Hadoop energy-saving scheduling system and with Huawei to develop an integrated intelligent cloud platform optimization scheduling system in 2013.
Education
PhD from the Department of Computer Science, North Carolina State University (NCSU)
Background
Professor and doctoral supervisor at the School of Information and Software Engineering, University of Electronic Science and Technology of China (UESTC). Deputy Director of the Cloud Space Laboratory. Research interests include cloud computing and big data resource optimization scheduling management. Long-term research in network optimization and algorithms for NP-hard problems.
Miscellany
Serves as an editorial board member of Open Journal of Cloud Computing, has chaired sessions at international conferences like CloudFlow, and is a regular reviewer for IEEE Transactions on Cloud Computing and Chinese Journal of Communications.