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.
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
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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
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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
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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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