Jinghan Xu

Jinghan Xu

she/her

Master Student at KTH Royal Institute of Technology

Jinghan Xu’s academic portfolio

About Me

I’m pursuing my Master’s degree in Transport and Geoinformation Technology at KTH. 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. Outside of academics, I’m a dancer with experience in stage choreography and freestyle battles.

Currently, I am actively seeking job opportunities in academy or industry for my postgraduates: PhD student, junior analyst, junior data engineer, etc. Not limited in any specific field, I am interested in spatial infrastructure systems modeling under real-world constraints.

I am self-motivated and easy to communicate with. I am capable of both team and independent work, and maintaining good stability under high pressure and criticism.

Education

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

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

  • Degree: Bachelor of Engineering (Civil Engineering) (GPA: 86.45); Minor in Artificial Intelligence, German
  • 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

Skills

  • AI and data analysis: Python (PyTorch / NumPy / Pandas / Scikit-learn)
  • Spatial analysis and GIS: Geovisualization (ArcGIS Pro, QGIS), spatial database (PostgreSQL, PostGIS)
  • Operational research: Mixed integer planning, network modeling and optimization (CPLEX / Gurobi)
  • Language: English (professionally fluent, IELTS 8.0), Mandarin (native), German & French (beginner, PHS6 & TFU4 / ~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

WSP

2026.02 - 2026.08 | Stockholm, Sweden | Degree Project Intern

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.

Coding Repository

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).

Selected Course Projects

Public Transport Delay Propagation Analysis: A Causal Inference Experiment

Course Project (Grade: 50/50), Individual Work | Sep 2025 - Oct 2025

  • Causal inference methodology comparison for delay propagation in public transport: regression adjustment, generalized propensity score, doubly robust estimation.
  • Mobility data modeling and management: GTFS Realtime feeds, python, SQLite3.

Please feel free to reach out if you’d like to read the report. Coding Repository

An AI-Based Automated Green Path Navigator & Green View Database

Course Project (Grade: A), Individual Work | Sep 2025 - Oct 2025 | Examiner/Supervisor: Prof. Gyözö Gidofalvi

  • A full-stack AI-based Web GIS application: pretrained AI model, multi-modal and complex spatial data management, route planning with self-defined parameters and real-time public transport APIs.
  • Tech Stack: React, Node.js, Python (FastAPI, PyTorch), PostgreSQL/PostGIS, Docker, Mapbox GL JS, Microsoft Planetary Computer APIs, GTFS/Real-time Transit APIs.

Please feel free to reach out if you’d like to read the report. Coding Repository