EDUCATION & ACADEMIC ACTIVITIES

Education

Training in modeling, optimization, simulation and academic writing through research projects and competition practice.

SYSTEM / 05MAGLEV RESEARCH

01 / TRAINING DIRECTIONS

Graduate training directions

The team integrates maglev research with graduate education in operation optimization, transport organization, traction-power coordination, and system validation. Students work through requirements, modeling, algorithms, simulation, and communication, translating results into papers, patents, software, and competition projects.

01

High-speed maglev networks and techno-economic analysis

Study the functional roles, interfaces, and techno-economic performance of high-speed maglev and existing high-speed rail networks.

02

Low-speed maglev freight models and planning assessment

Study low-speed permanent-magnet maglev freight models, transport organization, system capacity, and cost for urban logistics demand.

03

Train speed profiles and energy-efficient operation

Develop maglev speed profiles balancing safety, punctuality, and total energy consumption under line and running-time constraints.

04

Transport organization and operational dispatching

Study service frequency, stopping patterns, departure times, section running times, headway, and line capacity.

05

Coordinated transport organization, train control, and traction power

Study cross-layer coordination among timetables, speed commands, traction power, and power-supply-zone configuration.

02 / STUDENT COMPETITIONS

Student competition results

AWARD / 012025

Maglev Future: magnetic-control systems for passenger and freight trains

19th Challenge Cup National College Student Academic Science and Technology Competition

National Third Prize

Advisers: Liujiang Kang, Qingying Lai, Yu Liu

AWARD / 022025

Maglev Future: independently developed integrated operation-control-power technology

4th Beijing College Student Innovation and Entrepreneurship Competition

Beijing Third Prize

Advisers: Liujiang Kang, Qingying Lai

AWARD / 032025

Maglev Future: independently developed integrated operation-control-power technology

Challenge Cup Beijing College Student Academic Science and Technology Competition

Beijing Third Prize

Advisers: Liujiang Kang, Qingying Lai, Rui Dong

AWARD / 042025

Maglev Future: magnetic-control systems for passenger and freight trains

China International College Students' Innovation Competition, Beijing

Beijing Third Prize, Graduate Creative Group

Advisers: Liujiang Kang, Qingying Lai, Yu Liu, Rui Dong

AWARD / 052026

Maglev Green Artery Intelligent-Control Platform

Challenge Cup Beijing College Student Entrepreneurship Competition

Beijing Third Prize, Main Track

Advisers: Liujiang Kang, Qingying Lai, Huijun Sun, Jun Liu

03 / DEGREE THESES

Student theses

2026 / 01

Xubing Zhang

Timetable optimization for suspended low-speed maglev with mixed passenger and freight operation

Not yet indexed by Wanfang Data or CNKI; no official search page is currently available.

No official index available

2021 / 02

Haoran Zhou

Multi-objective timetable optimization for medium-speed maglev

Official search ↗

2019 / 03

Shuqin Huo

Passenger-demand-oriented timetable models and algorithms for medium-speed maglev

Official search ↗

2019 / 04

Xiaofeng Chai

Energy-efficient timetable optimization for medium-speed maglev

No DOI is available. Search by thesis title in CNKI or Wanfang Data; the link opens a Wanfang title search.

Official search ↗

2019 / 05

Wenliang Ding

Headway calculation and traction-power zone optimization for medium-speed maglev

No DOI is available. Search by thesis title in CNKI or Wanfang Data; the link opens a Wanfang title search.

Official search ↗

2018 / 06

Zhentao Liu

Sensor fault diagnosis for a medium-speed maglev levitation system

No DOI is available. Search by thesis title in CNKI or Wanfang Data; the link opens a Wanfang title search.

Official search ↗

2018 / 07

Qunyan Wang

Line-capacity calculation and enhancement for medium-speed maglev

No DOI is available. Search by thesis title in CNKI or Wanfang Data; the link opens a Wanfang title search.

Official search ↗

04 / TRAINING FEATURES

Training features

FEATURE / 01

Project-driven

Problem identification, modeling, algorithms, software, and validation run through the training process.

FEATURE / 02

Problem-oriented

Research questions are extracted from real speed-profile, timetable, capacity, power, and transport scenarios.

FEATURE / 03

Outputs and competitions

Papers, patents, prototypes, and engineering plans become competition projects that build communication and teamwork.