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Current Position: Senior Researcher, Future Network Theory Lab of Huawei Technologies
Michael was born in Jilin city in Jilin province, P. R. China in the autumn of 1987. Through his parents’ help, support and encouragement, he obtained his B.Eng. in Information and Communication Engineering in Zhejiang University (ZJU) in 2010. He is also a student of Chu Kochen (CKC) Honors College in ZJU in his undergraduate study. Thanks to the cooperative relationship between ZJU and the Hong Kong University of Science & Technology (HKUST), Michael was recommended for postgraduate admission (exemption from the application procedure) to HKUST in Sep. 2010. Since then, he started to work toward a Ph.D degree under the supervision of Prof. Vincent K. N. LAU. Michael obtain his Ph.D from HKUST on Aug 2015. Michael’s research interests include cross-layer delay-sensitive resource allocation, stochastic optimization and dynamic programming, and dynamic control for wireless communication systems. He is also involved in various industrial projects such as cooperative MIMO communications and Heterogeneous networks.
After his Ph.D, he joined the Future Network Theory Lab of Huawei's 2012 Laboratories as a researcher from Sept 2015 to Aug 2017. He acted as the leader of the theory group on algorithm design and performance analysis of next-generation wired and wireless network using mathematical optimization approaches and modern control theories. He also led the theoretical working group of the Application-Driven Network (ADN) project, which is the key technology that Huawei is promoting for the next generation and future network architecture. Furthermore, he was the project manager of the collaborations with CalTech on bio-inspired network control and with Cornell University on fast traffic engineering. After that, he worked with ASTRI on 3GPP standardisations for future wireless 5G and AI based system design. For the 3GPP standardization for 5G, he mainly focused on interworking between 4G and 5G topics covering dual connectivity procedures and measurement coordinations. For the AI project, he participated in the development of face detection and recognition platform and led the team of implementing it in Raspberry Pi for future vast productization. He also worked on the automatic robotics focusing on building a robot simulation environment under ROS platform to verify algorithms such as path planing and obstacle avoidance in a practical warehouse scenario.
Currently he joined back as a senior researcher in Future Network Theory lab of Huawei focusing on future network architecture design and related network control algorithm design. He feel so lucky to finally land into the computer networking area after several years of trial and error in his earlier career, which really opens a whole new world to me. Internet has been invented over thirty years and it doesn't seem to change too much, compared with telecommunications which has evolved from 1G to 5G in the same time span. Today's computer network needs serious redesign and it needs the designers to be able to tell the network engineers about how and why to implement the changes. To conquer the why part, it requires math. His vision about his career path in the coming few years is to solve practical computer networking problems using rigorous math tools, and more importantly to try his best letting the computer networking community embrace theory in a much more friendly way, which is actually the successful story of the evolution of telecommunications we can learn from. He does believe math is the right tool and the only one if one wants to make some fundamental changes in the computer networking area.
After his Ph.D, he joined the Future Network Theory Lab of Huawei's 2012 Laboratories as a researcher from Sept 2015 to Aug 2017. He acted as the leader of the theory group on algorithm design and performance analysis of next-generation wired and wireless network using mathematical optimization approaches and modern control theories. He also led the theoretical working group of the Application-Driven Network (ADN) project, which is the key technology that Huawei is promoting for the next generation and future network architecture. Furthermore, he was the project manager of the collaborations with CalTech on bio-inspired network control and with Cornell University on fast traffic engineering. After that, he worked with ASTRI on 3GPP standardisations for future wireless 5G and AI based system design. For the 3GPP standardization for 5G, he mainly focused on interworking between 4G and 5G topics covering dual connectivity procedures and measurement coordinations. For the AI project, he participated in the development of face detection and recognition platform and led the team of implementing it in Raspberry Pi for future vast productization. He also worked on the automatic robotics focusing on building a robot simulation environment under ROS platform to verify algorithms such as path planing and obstacle avoidance in a practical warehouse scenario.
Currently he joined back as a senior researcher in Future Network Theory lab of Huawei focusing on future network architecture design and related network control algorithm design. He feel so lucky to finally land into the computer networking area after several years of trial and error in his earlier career, which really opens a whole new world to me. Internet has been invented over thirty years and it doesn't seem to change too much, compared with telecommunications which has evolved from 1G to 5G in the same time span. Today's computer network needs serious redesign and it needs the designers to be able to tell the network engineers about how and why to implement the changes. To conquer the why part, it requires math. His vision about his career path in the coming few years is to solve practical computer networking problems using rigorous math tools, and more importantly to try his best letting the computer networking community embrace theory in a much more friendly way, which is actually the successful story of the evolution of telecommunications we can learn from. He does believe math is the right tool and the only one if one wants to make some fundamental changes in the computer networking area.