Jinghan Xu

Jinghan Xu

she/her

AI for Civil Engineering and GIS | KTH (MSc) | Tongji (BEng)

Jinghan Xu’s academic portfolio

About Me

Hi! I received my Master’s degree from KTH Royal Institute of Technology in Sweden, and Bachelor’s degree from Tongji University (同济大学) in China. I am broadly interested in AI-driven geospatial analysis, network/flow-based infrastructure/logistics modeling, and data-driven decision-making under uncertainties.

I am a faster learner, punctual, self-motivated and easy to get along with. I am capable of both team and independent work, and handling pressure & criticism. Outside of academics, I’m a dancer with experience in stage choreography and freestyle competitions. I’m broadly interested in film & theatre arts, linguistics, video games, and music.

Currently, I am actively looking for PhD / RA positions starting in 2026 Fall or 2027 Spring/Fall. I am also open for posistions in relevant industries.

Education

KTH Royal Institute of Technology (2024-08 - 2026-06), Stockholm, Sweden

  • Degree: Master of Science (Transport and Geoinformation Technology) (GPA: 93.34)
  • Core modules: GIS Development, Spatial Analysis, Machine Learning and GeoAI, Transport Modeling, Statistical Learning
  • Activity: Dance coach and choreographer at THS English Theatre Improv Club
  • Honor: KTH Scholarship (360k SEK; the only awardee of the study program for 2024 intake)

Tongji University (2019-09 - 2024-07), Shanghai, China

  • Degree: Bachelor of Engineering (Civil Engineering) (GPA: 86.45)
  • Minor (微专业): Artificial Intelligence (2021-2023, part-time); German language program (2020-2021, full-time)
  • Core modules: Mechanics, Built Environment, Applied Mathematical Modeling, Numerical Analysis
  • Activity: Leadership at Tongji C4Family Street Dance Association (Locking Team)
  • Honor: Runner-up in National Mathematical Modeling Competition (Shanghai) (数学建模国赛上海二等奖); Runner-up in National Statistical Modeling Competition (Shanghai) (全国大学生建模统计大赛上海二等奖)；Dean’s Scholarship (同济大学校级奖学金); Social Engagement Scholarship (同济大学社会实践奖学金)
  • Entrance grade: 666/750 (Rank: 550-600/~126k; Chongqing, 2019)

Skills

  • Vibe coding: Claude Code, CodeX
  • AI and data analysis: Python (PyTorch / NumPy / Pandas / Scikit-learn)
  • Spatial analysis and GIS: Geovisualization (ArcGIS Pro, QGIS), spatial database (PostgreSQL, PostGIS)
  • Software engineering: Docker (containerized full-stack development, for web service deployment and research project pipeline), Qt6 (standalone software service), Streamlit (python for frontend and light-weighted service), SQLite3 and PostSQL (integrated DBMS for web/local data service)
  • Operational research: Mixed integer planning, graph-based (flow) modeling
  • Language: English (fluent, IELTS 8.0 / C1), Mandarin (native speaker), German (basic communication, 大学德语六级 / ~A2-B1), French (beginner, 大学法语四级 / ~A2)

Publications

  • [1] (2023) Wei H, Xu J, Jiang J, et al. Holographic display in future automotive smart cockpit: application scenarios, interaction modals, and VACP analysis; Advanced Fiber Laser Conference (AFL2022). SPIE, 2023, 12595: 200-209.
  • [2] (2025) J. Xu, Y. Ling, Z. Ma; Convolutional Neural Network-Based Estimation of the Green View Index from Satellite Images; Swedish Transport Research Conference (STRC2025).
  • [3] (2025) Y. Cao, J. Xu, Q. Jia, et al. Balancing the Price of Safety: A Weighted Voronoi Framework for UAM Network Design; TRB Annual Meeting 2026.
  • [4] (2025) J. Xu, Y. Ling, Z. Ma; Estimating Street-Level Green View Index Using Satellite Remote Sensing and Explainable Machine Learning; TRB Annual Meeting 2026.
  • [5] (2026) J. Xu, Y. Ling, Z. Ma; A Generalizable Urban Green View Index Estimation Method from Satellite Imagery; Transportation Research Record (Transferred from TRB Annual; Under Review).
  • [6] (2026) J. Xu, Z. Ma; Rethinking Public Transport Contracts: Towards Value-Based KPIs for Reliable Bus Services; Swedish Transport Research Conference (STRC2026)

Professional Experiences and Projects

JTL Urban Mobility Lab, MIT | MIT-UF-NEU 2026 Joint Summer Research Camp

2026.05 - 2026.09 | Remote | Summer Research Student | Supervisor: Dr. Dingyi Zhuang (MIT)

Research topic: TBD

A&S Trafikprognos & Dataanalys, WSP

2026.02 - 2026.06 | Stockholm, Sweden | Degree Project Intern | Academic Supervisors: Prof. Zhenliang Ma, Prof. Gyözö Gidofalvi

Thesis project: Planning Heavy-Duty Charging Infrastructure along Sweden’s TEN-T Network: A Network-Distance Audit and Pareto-Based Candidate Selection.

  • Strategic infrastructure planning for opportunity en-route high-power charging.
  • (1) Baseline analysis for AFIR 2027/2030 target appliance. (2) Pareto frontier method for new charging station site assessment, driven by land-use friction. (3) An end-to-end multi-source spatial analysis framework, narrowing the infinite and continuous planning space down to prioritized limited point sets.
  • Publication: in preparation.

Mobility Informatics Lab, Division of Transport Planning, KTH

2025.11 - 2026.02 | Stockholm, Sweden | Research Assistant | Supervisor: Prof. Zhenliang Ma ｜ Funder: K2 Swedish National Center for Public Transport

Funded research: Rethinking Public Transport Contracts: Towards Value-Based KPIs for Reliable Bus Services.

  • Contract rewarding mechanism and policy study: representative regions in the UK, Europe, and Australia.
  • Leading and organizing workshop and brainstorm session with experts from academy and industry.
  • Quantitative analysis on reliability KPIs for bus services in Stockholm based on operational data; trade-offs and challenges for moving from research result to practice and implementation.
  • Publication: [6], in preparation.

Digital Futures Summer Research Program

2025.06 - 2025.08 | Stockholm, Sweden | Summer Research Intern | Supervisor: Dr. Yancheng Ling, Prof. Zhenliang Ma | Funder: Digital Futures

Funded research: Estimating Green View Index from Satellite Imagery Using Explainable Machine Learning

  • Feature engineering from open-source satellite imagery (Sentinel-2).
  • Machine learning pipeline: containerized development, fine-tunning, model assessment, deployment and explainability analysis (PyTorch, SHAP, attention map).
  • Compared among CNN, GNN, assembly models, linear regression.
  • Publication: [2][4][5].

Innovation Center Asia, Volkswagen Group (China)

2024.01 - 2024.07 | Beijing, China | R&D Intern

  • Production of “University Map” report: Academic review, technical updates, and research focus about power electronics (SiC, GaN) in recognized institutes in China.
  • Assisted in the communication with the potential cooperators (research groups).
  • Designed and conducted user experience study for the new prototype test drive.

Innovation Center PACE, Tongji University

2022 - 2024 | Shanghai, China | Project Manager and Leadership Board Memeber | Supervisor: Prof. Qing Jia, Prof. Yanlong Li | Funder: Non-Disclosure Agreement

Funded project: Prospective Research on Human-Machine Interaction (HMI) in Intelligent Cockpits and Future Mobility Scenarios: Holographic Displays, Brain-Computer Interfaces, and AI for HMI.

  • Project description: Developing multimodal interaction concepts and envisioning user scenarios. This project comprised three sub-projects spanning two years with total active duration of 13 months. Deliverables were presented as visual proof-of-concept (PoC) demonstrations and written report.
  • Responsibility: (1) Organising and hosting roundtable events with experts and industrial leaders, designing user research methodologies, (2) conducting structured user interviews and gamified cognitive experiments, (3) leading cross-disciplinary team collaboration (over 30 team members), (4) executing meetings and presentation report with funders.
  • Publication: [1]

Other activities in the lab:

  • Undergraduate student innovation projects: participation, leadership
  • IDEEA 2023 competition: participation and leadership
  • Group management, monthly meeting organization, etc.
  • Publication: [3]

Mathart Systems Co., Ltd. (上海数策软件股份有限公司)

2022.01 - 2022.04 | Shanghai | Algorithm Engineer Intern

  • Coding and testing for integer programming and heuristic algorithm modules (Cplex, pyomo).

Academic referees

  • Prof. Zhenliang Ma, Division of Transport Planning, KTH Royal Institution of Technology
  • Prof. Győző Gidofalvi, Division of Geoinformatics, KTH Royal Institution of Technology
  • Prof. Qing Jia, School of Automotive Studies, Tongji University

Industrial referees

  • Lars Drageryd, WSP Sverige
  • Dr. Zhi Xu, Volkswagen Group (China)