Baoqian Wang (王宝乾)

I am an Intelligent Systems Engineer at The Boeing Company, working on decision making and optimization problems.

In 2023, I obtained my Ph.D. degree in Electrical and Computer Engineering jointly from University of California San Diego and San Diego State University, advised by Prof. Junfei Xie and Prof. Nikolay Atanasov. I received my M.S. degree in Computer Science from Texas A&M University Corpus Christi in 2019 and B.S. degree in Prospecting Technology and Engineering from Yangtze University, China in 2017.

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    [07.28.2023] I joined The Boeing Company as an intelligent systems engineer.
    [04.07.2023] I successfully defended my Ph.D. dissertation.
    [12.12.2022] One paper was accepted to the journal IEEE Transactions on Vehicular Technology.
    [05.12.2022] I will start a summer internship at The Boeing Company as a Graduate Student Researcher.
    [11.19.2021] I passed the University Qualifying Exam and became a Ph.D. candidate.
    [07.10.2021] One paper was accepted to the journal IEEE Transactions on Network Science and Engineering.
Selected Publications

Exploring Networked Airborne Computing: A Comprehensive Approach with Advanced Simulator and Hardware Testbed
Haomeng Zhang*, Baoqian Wang*, Junfei Xie, Kejie Lu, Yan Wan, Shengli Fu (*Equal Contributions)
Unmanned Systems, 2023


DARL1N: Distributed multi-Agent Reinforcement Learning with One-hop Neighbors
Baoqian Wang, Junfei Xie, Nikolay A.Atanasov
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems

PDF / Code

On Batch-Processing Based Coded Computing for Heterogeneous Distributed Computing Systems
Baoqian Wang, Junfei Xie, Kejie Lu, Yan Wan, Shengli Fu
IEEE Transcations on Network Science and Engineering, 2021

Computing in the air: An Open Airborne Computing Platform
Baoqian Wang, Junfei Xie, Songwei Li, Yan Wan, Yixin Gu, Shengli Fu, Kejie Lu,
IET Communications, 2020

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