向大家推薦下人才求職所用的英文簡歷。只供參考：
EXPERIENCE
Sun Microsystems Laboratories, Menlo Park, CA
April 2019 – Present:
Conceiving, developing and implementing self-managing and self-optimizing capabilities in computer systems, covering domains such as: cache-aware thread scheduling and CPU power management, dynamic sharing of CPU/memory/bandwidth, dynamic data migration in distributed storage systems, dynamic job scheduling and job pricing in cloud computing, dynamic user migration in distributed virtual environments, etc.
Principal investigator for the Adaptive Optimization project since 2019.
Intelligent Inference Systems Corp., Sunnyvale, CA Research Scientist
April 2019 – April 2019: Started a new research initiative in applying the A CFR L algorithm and the previously developed multi-agent coordination algorithms to power control in wireless networks. Published several conference papers on this topic. Results demonstrate an improvement by more than a factor of 2 in comparison with the algorithms used in IS-95 and CDMA2000 standards.
April 2019 – April 2019: Wrote a Phase I STTR proposal to the Office of Naval Research and received funding for the topic of “Perception-based co-evolutionary reinforcement learning for UAV sensor allocation.” Developed theoretical algorithms and designed a practical implementation strategy, which demonstrated excellent results in a high-fidelity robotic simulator. Published a conference paper.
Stanford University, Stanford, CA
M.S. degree in Engineering Economic Systems and Operations Research in June 2000.
Ph.D. degree in Management Science and Engineering June 2019.
Dissertation title: "Multi-agent learning and coordination algorithms for distributed dynamic resource allocation."
Dissertation advisor: Nicholas Bambos
Massachusetts Institute of Technology, Cambridge, MA
B.S. degree in Mathematics in June 1997.
M.S. degree in Systems Science and Control Engineering from the department of Electrical Engineering and Computer Science in June 1998. Master's thesis topic: Context-sensitive planning for autonomous vehicles operating in complex, uncertain, and nonstationary environments.