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Xuan Jiang  


Ph.D. Candidate, in Transportation Engineering and Computer Science, University of California, Berkeley

  • GSR, Lawrence Berkeley National Laboratory at Energy Analysis and Environmental Impacts Division, Supervisor: Tom Wenzel, Zachary Nedell
  • GSR, Institute of Transportation Studies, Supervisor: Jane Macfarlane
  • Visiting Scholar, Massachusetts institute of technology at MIT Urban Mobility Lab, Supervisor: Jinhua Zhao, Haris Koutsopoulos
  • Member, Transportation Research Board: National Academies of Sciences, Engineering, and Medicine Committee on Aviation Safety, Security and Emergency Management (AV090)
  • Member, American Society of Civil Engineers T&DI, Artificial Intelligence in Transportation Committee
  • Co-Founder, Shanghai HeroTech Education Technology Co., Ltd.

    • Education:
    PhD, Transportation Engineering, UC Berkeley, GPA: 4.0/4.0 Minor in High Performance Computing and AI
    MS, Transportation Engineering, UC Berkeley, GPA: 4.0/4.0 Certificated in Data Science with Information School

    I am currently a final year PhD at the University of California, Berkeley who are interested in high performance computing and artificial intelligence. I am working with Prof. Raja Sengupta and Prof. James Demmel. Previously, I received my Master's degree in Transportation Engineering from the University of California, Berkeley advised by Prof. Mark Hansen, Prof. Susan Shaheen, Prof. Joan Walker, and Prof. Alexander Skabardonis.

    My research interests are parallel computation/traffic operation simulation/artificial intelligence/urban air mobility. Currently, my research mainly focuses on accelerating the convergence/simulation speed of metropolitan scale transportation systems using novel system schemes and machine learning methods. I will graduate from UCB in December 2024.

    Below are the strengths of mine:
  • Deep Learning based traffic congestion prediction.
  • Urban Air Mobility traffic management, conflict detection and avoidance.
  • GPU based parallel traffic operation simulation and data acquisition.
  • Reinforcement Learning based multi-line bus bunching problem.

    • Office Address:
    107 Mclaughlin Hall
    Berkeley, CA 94720

    Email:
    xuanjiang@berkeley.edu

    Find me at:
    Google Scholar
    Linkedin

    Selected Publications


    Simulating Integration of Urban Air Mobility into Existing Transportation Systems: Survey

    Xuan Jiang , Yuhan Tang, Junzhe Cao, Vishwanath Bulusu, Hao Yang, Xin Peng, Yunhan Zheng, Jinhua Zhao, and Raja Sengupta
    Journal of Air Transportation, 32(3), pp.97-107.
    [Paper], [CITE]

    Large scale multi-GPU based parallel traffic simulation for accelerated traffic assignment and propagation

    Xuan Jiang , Raja Sengupta, James Demmel, and Samuel Williams
    Transportation Research Part C: Emerging Technologies, 169, 104873.
    [Paper], [CITE]

    Simulation-Based Optimization for Vertiport Location Selection: A Surrogate Model With Machine Learning Method

    Xuan Jiang , Shangqing Cao, Baichuan Mo, Junzhe Cao, Hao Yang, Yuhan Tang, Mark Hansen, Jinhua Zhao, Raja, Sengupta
    Transportation Research Record, 03611981241277755.
    [Paper], [CITE]

    Devastator: A Scalable Parallel Discrete Event Simulation Framework for Modern C++

    John Bachan, Jianlan Ye, Xuan Jiang , Tan Nguyen, Mahesh Natarajan, Maximilian Bremer, Cy Chan
    Proceedings of the 38th ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (pp. 35-46).
    [Paper], [CITE]

    Designing a Time-Driven Simulation Framework for Large-Scale Traffic Networks

    Xuan Jiang
    Proceedings of the 38th ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (pp. 79-80).
    [Paper], [CITE]

    A Metrics-based Method for Evaluating Corridors for Urban Air Mobility Operations

    Xuan Jiang , Xin Peng, Vishwanath Bulusu, Cristian Poliziani, Gano Chatterji, Raja Sengupta
    2022 IEEE International Smart Cities Conference (ISC2)
    [Paper], [CITE]

    Professional Service


    Committee Member

  • Session Chair, Informs Annual Meeting 2023
  • Young Member, Standing Committee on Aviation Safety, Security and Emergency Management (AV090), since 2022
  • Member, Standing Committee on Marine Environment(AW030) Main Member, since 2022
  • Member, American Society of Civil Engineers T&DI, Artificial Intelligence in Transportation Committee, since 2022

    • Academic Society Membership

  • Institute of Transportation Engineers (ITE)
  • Institute of Electrical and Electronics Engineers (IEEE)
  • American Society of Civil Engineers (ASCE)
  • Chinese Overseas Transportation Association (COTA)

    • Referee for Journal and Conference

  • Transportation Research Board (TRB) Annual Meeting, 2023
  • IEEE International Intelligent Transportation Systems Conference, 2022, 2023
  • Scientific Reports
  • Frontiers in Psychology

    • Teaching

  • 2021 Spring: Teaching assistant for CEE 298/198 Group Studies, Seminars, or Group Research on Equity and Social Justice
  • 2022 Fall: Lead teaching assistant for CEE 290I Civil Systems: Control and Information Management
  • 2023 Summer: Teaching assistant for CCPHIT IMA: Informatics, Mapping & Analysis Bootcamp at UC Berkeley Public Health
  • 2023 Fall: Teaching assistant for CEE 290/190 004 Special Topics in Civil and Environmental Engineering: Emerging Technologies for Public Health

    • News

  • 2023 Spring: Tongji University Transportation Engineering Department Outstanding Alumini Talk


    • AIR Lab Talk (Etcheverry hall, FANUC room)

  • 2024 Feb 28the: Dr. Pavan Yedavalli, Autonomous AAM Operations: Considerations, Challenges, and Opportunities
  • 2024 March 6th: Dr. Husni Idris, Reflections on Collective Autonomy in Air Mobility – Metrics and Models

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