Jinghan Xu

Jinghan Xu

she/her

Master Student at KTH Royal Institute of Technology

Jinghan Xu’s academic portfolio

About Me

I’m expected to receive Master’s degree in Transport and Geoinformation Technology from KTH in 2026 July/August. I completed my Bachelor’s degree in Civil Engineering at Tongji University, where I also undertook a one-year German language program and completed a minor in Artificial Intelligence. Not limited in a specific field, I am interested in spatial and network/flow-based infrastructure/logistics system modeling, decision-making under uncertainties, and nature-based solutions.

I am punctual, self-motivated and easy to get along with. I am capable of both team and independent jobs, and handling pressure & criticism.

Outside of academics, I’m a dancer with experience in stage choreography and freestyle competitions. I’m also interested in film & theatre arts, linguistics, video games, and music.

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 and Spatial Analysis, Applied AI in Transport and GeoAI, Logistics, Statistical Learning
  • Activity: Dance coach and choreographer at THS English Theatre Improv Club
  • Honor: KTH Scholarship (SEK 360,000.00; 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: 数学建模国赛上海赛区二等奖、全国大学生建模统计大赛上海赛区二等奖；Dean’s Scholarship，Social Engagement Scholarship
  • Entrance grade: 666/750 (Rank: 550-600/~126k; Chongqing City, 2019)

Skills

  • 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

  • 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).
  • J. Xu, Y. Ling, Z. Ma; Estimating Street-Level Green View Index Using Satellite Remote Sensing and Explainable Machine Learning; TRB Annual Meeting 2026.
  • 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.
  • J. Xu, Y. Ling, Z. Ma; Convolutional Neural Network-Based Estimation of the Green View Index from Satellite Images; Swedish Transport Research Conference (STRC2025).
  • 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.

Professional Experiences and Projects

A&S Trafikprognos & Dataanalys, WSP

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

Thesis project: Planning and Optimization of Charging Infrastructure for Electric Trucks along the TEN-T Network in Sweden.

Mobility Informatics Lab, Division of Transport Planning, KTH

2025.11 - 2025.02 | Stockholm, Sweden | Research Assistant | Supervisor: Prof. Zhenliang Ma

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

  • Research question: whether, or to what extend does the operated on-time performance KPI reflect passenger-perceived reliability?
  • Data mining from public transport operational data (GTFS, Python, PostgreSQL).
  • PT (public transport) contract and service reliability KPI study.

Digital Futures

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

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

  • Data mining from satellite imagery (Sentinel-2, Python).
  • Machine learning pipeline (Docker): feature engineering, fine-tunning, transfer learning, performance assessment, model deployment and explainability analysis (PyTorch, SHAP, attention map).
  • Compared among CNN, GNN, assembly models, linear regression.

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 (professors / research group).
  • Designed and conducted user experience study for the new prototype test drive.

Innovation Center PACE, Tongji University

2022 - 2024 | Shanghai, China | Student Leadership Board Memeber

NDA 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 usage 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 interviews and gamified cognitive experiments, (3) leading cross-disciplinary team collaboration (over 30 team members), (4) meetings and presentations with the sponsors and supervisors.

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 for integer programming and heuristic algorithm modules (Cplex, Python OOD).