Jinghan Xu

Jinghan Xu

she/her

GeoAI & Digital Twin | KTH (MSc) | Tongji U (BEng)

Jinghan Xu’s Academic Profile

About Me

I received MSc degree from KTH Royal Institute of Technology in Sweden, and Bachelor’s from Tongji University (同济大学) in China. I am broadly interested in geospatial AI and digital solutions for reliable cyber-physical system.

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.

Education

KTH Royal Institute of Technology (2024-08 - 2026-09), Stockholm, Sweden

  • Degree: Master of Science (Transport and Geoinformation Technology)
  • Core modules: Geoinformatics, Spatial Analysis, Machine Learning and GeoAI, Transport Modeling, Statistical Learning
  • Activity: Dance coach and choreographer at THS English Theatre Improv Club

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

  • Degree: Bachelor of Engineering (Civil Engineering; track: Geotechnical Engineering)
  • Minor (微专业): Artificial Intelligence (2021-2023, part-time); German Language (2020-2021, full-time)
  • Core modules: Mechanics, Geotechnical Engineering, Built Environment, Applied Mathematical Modeling, Numerical Analysis
  • Activity: Leadership at Tongji C4Family Street Dance Association (Locking Team)
  • Entrance grade: 666/750 (Rank: 550-600/~126k; Chongqing Region, 2019)

Skills

  • AI development: Cursor/CodeX/Claude Code, Hyper-AI, Agent Pattern Development (LangChain / LangGraph / RAG / Prompt Engineering), Machine Learning (PyTorch / NumPy / Pandas / Scikit-learn).
  • Software engineering: Docker, Qt6/C++, SQL, MQTT, Python.
  • GIS and Spatial Analysis: ArcGIS Pro, PostGIS/Postgres, SUMO.
  • Operational research: Mixed integer planning, graph-based (flow) modeling
  • Language: English (Proficiency; IELTS 8.0); German (Beginner; University Band 6 / 大学德语六级); French (Beginner; University Band 4 / 大学法语四级); Mandarin (Native).

Publications

Journal

  • [5] (2026) J. Xu, Y. Ling, Z. Ma; Cross-City Transferability of Urban Green View Index Estimation from Satellite Imagery within Selected European Contexts; Transportation Research Record; DOI: 10.1177/03611981261493953/ ID: 25-01959.

Conference

  • [4] (2026) Xu, Jinghan, Yancheng Ling, and Zhenliang Ma. “Estimating Street-Level Green View Index Using Satellite Remote Sensing and Explainable Machine Learning.” In TRB Annual Meeting 2026, Washington, DC, USA, Jan 11–15, 2026. 2026.
  • [1] (2023) Wei, Huanxia, Jinghan Xu, Jun Jiang, Bowen Liang, and Qing Jia. “Holographic display in future automotive smart cockpit: application scenarios, interaction modals, and VACP analysis.” In Advanced Fiber Laser Conference (AFL2022), vol. 12595, pp. 200-209. SPIE, 2023.

Presentation

  • [7] (2027) J. Xu, D. Astorga Castillo, G. Gidofalvi, J. Mårtensson; Decision-ready material-state modelling for electrified mass transportation in urban construction; Transportforum 2027 (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, oral).
  • [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 (poster).
  • [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, oral).

Professional Experiences and Projects

Div. of Geoinformatics & ITRL (Integrated Transport Research Lab), KTH Royal Institute of Technology

2026.09 - present | Stockholm, Sweden / Remote | Graduate Student Researcher | Supervisor: Prof. Gyözö Gidofalvi, Prof. Andrea Nascetti, Prof. Jonas Mårtensson

  • DISSECT: Digital twins and decision support for flexible energy management in electrified groundwork construction.
  • Publication: [7]

MIT (Massachusetts Institute of Technology) | MIT-UF-NEU 2026 Joint Summer Research Camp

2026.05 - 2026.10 | Remote | Research Mentee | Supervisor: Dr. Dingyi Zhuang (MIT)

Summer research project: Conditional vehicle interaction in mixed traffic: from behavioral adaptation to delay redistribution.

  • Research focus: how human-driven vehicles’ (HDVs’) behavioral adaptation to automated vehicles can reshape delay across a road network.
  • Method: a controlled SUMO simulation framework to compare mixed traffic with and without adaptation at intersections.
  • Key results: (1) a small change in average network net delay can hide substantial gains and losses for individual trips; (2) differences in vehicle following headways often amplified these effects; and (3) human drivers don’t always save travel time from aggressive behavior adaptation towards AVs (autonomous vehicles).
  • Futher interpreted inslights: involving AVs in the transport system may change and redistrubute travel time patterns due to AV-HDV interaction (HDV’s behavior adaptation); evaluating mixed traffic requires attention to both overall performance and the distribution of travel delays.

Parallel Driving R&D Department, Shanghai Hello Puhui Technology Co., Ltd

2026.07 - 2026.09 | Shanghai, China | Research Analyst

  • Intelligent teleoperation solution for L4 Robotaxi (VLM/VLA) R&D. Organize the model cloud implementation and road test.
  • Fully responsible for the cloud-based stoppage assistance AI model (R&D, product design): An agent application to supplement sensing information for the vehicle end.

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.
  • Thesis permanant link

Mobility Informatics Lab, Division of Transport Planning, KTH

2025.11 - 2026.02 | Stockholm, Sweden | Graduate Student Researcher | 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

  • Dr. Dingyi Zhuang, JTL Urban Mobility Lab, Massachusetts Institute of Technology
  • 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)

Honor & awards

@KTH, graduate (2024.08 - 2026.06)

  • Honor: KTH Scholarship (360k SEK; the only awardee of the study program for 2024 intake)

@Tongji University, undergraduate (2019.09 - 2024.07)

  • Runner-up in National Mathematical Modeling Competition (数学建模国赛上海二等奖)
  • Runner-up in National Statistical Modeling Competition (全国大学生建模统计大赛上海二等奖）
  • Excellent Undergraduate Scholarship (同济大学优秀本科生奖学金)
  • Social Engagement Scholarship (同济大学社会实践奖学金)