Summer Camp

KAIST 2nd Summer Camp

SCROLL

KAIST 2nd Summer Camp

With research topics hotter than the summer of 2024, scholars from all over the world are visiting Jeju Island in Korea. Our department will hold the 2nd KAIST summer camp on the beautiful island of Jeju Island from June 17th to 28th, 2024. It will be a forum for a very wide and in-depth discussion, from the technical aspects of autonomous driving to the ethical and social conflicts that follow.

Topic

  • Crowd Safety
  • Traffic Safety
  • Autonomous vehicle impact
  • Smart transportation
  • AI for transportation and mobility data
  • Simulation for autonomous driving
  • Data driven traffic flow model
  • Multimodal operation
  • Human factors
  • Ethical and social conflict of automation
  • CAV
  • Startup opportunities

Lecturer

Dr. Neema Nassir

Dr. Wei Ma

Martin Margreiter

Julia Gschwendner

Dr. Seongjin Choi

Dr. Lijun Sun

Prof. Jia Hu

Prof. Helai Huang

Prof. Xiaopeng Li

Prof. Constantinos Antoniou

Dr. Milad Haghani

Dr. Pengpeng Xu

Dr. Sikai Chen

Dr. Joseph Chow

Materials

No.
Date
Time
Title
Lecturer
Position
Present

1

2024.06.18
14:00 - 15:00

Value of vehicle telematics data for traffic operations

Dr. Neema Nazir
University of Melbourne

2

2024.06.18
15:00 - 16:00

Multimodal operation of smart interactions

Dr. Neema Nazir
University of Melbourne

3

2024.06.19
10:00 - 11:00

Data-Driven Transportation Network Modeling: Bridging Theory and Practice in Computational Graphs

Dr. Wei Ma
Hong Kong Polytechnic University

4

2024.06.19
11:00 - 12:00

Cybersecurity Challenges in Intelligent Transportation Systems

Dr. Wei Ma
Hong Kong Polytechnic University

5

2024.06.20
10:00 - 11:00

Testing and validation of connected automated vehicles in simulation

Dr. Martin Margreiter
Technical University of Munich

6

2024.06.20
11:00 - 12:00

Testing and validation of connected automated vehicles in real-world experiments

Dr. Martin Margreiter
Technical University of Munich

7

2024.06.21
10:00 - 12:00

Deep Generative Models for Transportation and Mobility Data

Dr. Seongjin Choi
University of Minnesota

8

2024.06.21
14:00 - 15:00

Bayesian Inference of Time-Varying OD Matrices from Boarding/Alighting Counts for Transit Services

Dr. Lijun Sun
McGill University

9

2024.06.21
15:00 - 16:00

Calibrating Car-Following Models via Bayesian Dynamic Regression

Dr. Lijun Sun
McGill University

10

2024.06.24
10:00 - 12:00

Traffic safety analytics and the future under ICV environments

Prof. Helai Huang
Central South University

11

2024.06.24
14:00 - 16:00

Needs for AI in Connected and Automated Transportation

Prof. Xiaopeng Li
University of Wisconsin-Madison

12

2024.06.24
16:00 - 18:00

Transportation, open data and artificial intelligence - Challenges and opportunities

Prof. Constaninos Antoniou
Technical University of Munich

13

2024.06.25
10:00 - 11:00

A multidisciplinary approach to crowd safety:
Part 1. Descriptive modelling and experimentation

Dr. Milad Haghani
The University of New South Wales

14

2024.06.25
11:00 - 12:00

A multidisciplinary approach to crowd safety:
Part 2. Prescriptive modelling and experimentation

Dr. Milad Haghani
The University of New South Wales

15

2024.06.25
14:00 - 15:00

Fatigue at the wheel: towards a non-intrusive, real-time approach to monitoring truck driver fatigue

Dr. Pengpeng Xu
South China University of Technology

16

2024.06.25
15:00 - 16:00

Road crash prediction models in the era of big data

Dr. Pengpeng Xu
South China University of Technology

17

2024.06.26
10:00 - 12:00

Human Centered-AI and Transportation: Multi-agent Cooperative Driving Automation

Dr. Sikai Chen
University of Wisconsin-Madison

18

2024.06.26
14:00 - 15:00

Modeling MaaS systems: a stability-theoretic framework

Dr. Joseph Chow
New York University

19

2024.06.26
15:00 - 16:00

Applications: Last mile subsidies, mobility hubs, and technology deployment

Dr. Joseph Chow
New York University

Location

JEJU Island
kmg_logo

© 2023 KAIST Mobility Group.
All rights reserved.

Sitemap

Sitemap

T : +82 42 350 1252
F :+82 42 350 1250

E : kaist.mobility@gmail.com

Labs