Mingjie Bi 毕铭杰

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I am a research scientist at the Multi-agent Lab, Beijing Institute for General Artificial Intelligence (BIGAI), China. Before that, I worked in Hitachi America Ltd. as a smart manufacturing researcher. I obtained my Ph.D. in 2023 from the Robotics Department at the University of Michigan, where I was advised by Professors Kira Barton and Dawn M. Tilbury.

My research centers on distributed artificial intelligence, with a particular emphasis on multi-agent systems. I am interested in the following topics:

  • Research Areas: Agent modeling, multi-agent interaction and decision-making, agent-based simulation
  • Methodologies: Multi-agent reinforcement learning (MARL), large language model (LLM)-based agents, optimization-based decision-making
  • Applications: Social simulation, smart manufacturing and supply chains, industrial robotics

I am currently looking for prospective Ph.D. students through the TongProgam (通计划) — a joint program for doctoral students between BIGAI and leading universities in China. Current partner universities with me include Zhejiang University, Beihang University, and Wuhan University. Feel free to reach out to me if you are interested!

News

Apr 16, 2025 Our paper entitled Digital Twin-based Smart Manufacturing: Dynamic Line Reconfiguration for Disturbance Handling was accepted by IEEE Transactions on Automation Science and Engineering (T-ASE)!
Mar 07, 2025 Our paper entitled A Lead-Time-Aware Decomposition Approach to Optimize Disruption Response in Supply Chains was accepted by IEEE Transactions on Automation Science and Engineering (T-ASE)!
Sep 26, 2024 Our paper entitled AdaSociety: An Adaptive Environment with Social Structures for Multi-Agent Decision-Making was accepted by Conference and Workshop on Neural Information Processing Systems (NeurIPS) D&B Track!
Aug 30, 2024 Our RA-L paper entitled Heterogeneous Risk Management Using a Multi-Agent Framework for Supply Chain Disruption Response was presented in IEEE International Conference on Automation Science and Engineering (CASE) at Bari, Italy!

Selected Publications

  1. IJPR
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    Dynamic distributed decision-making for resilient resource reallocation in disrupted manufacturing systems
    M. Bi, I. Kovalenko, D. M Tilbury, and K. Barton
    International Journal of Production Research, 2024
  2. IEEE T-ASE
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    A distributed approach for agile supply chain decision-making based on network attributes
    M. Bi, D. M Tilbury, S. Shen, and K. Barton
    IEEE Transactions on Automation Science and Engineering, 2023
  3. IEEE RA-L
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    Heterogeneous Risk Management Using a Multi-Agent Framework for Supply Chain Disruption Response
    M. Bi, J. Estrada-Garcia, D. M Tilbury, S. Shen, and K. Barton
    IEEE Robotics and Automation Letters, 2024
  4. NeurIPS
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    AdaSociety: An Adaptive Environment with Social Structures for Multi-Agent Decision-Making
    Y. Huang, X. Wang, H. Liu, F. Kong, A. Qin, and 6 more authors
    The Thirty-eight Conference on Neural Information Processing Systems Datasets and Benchmarks Track, 2024

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