CILT International Convention 2026 (ICM 2026) "Global Corridors, Collaboration Excellence", Sep 20-24, 2026

CILT International Convention 2026

Organized by: The Chartered Institute of Logistics and Transport in Hong Kong (“CILTHK”)

Aim of the Convention: Through various insightful presentations from leading figures in the industry, fruitful advice sharing from major leaders over discussion forums as well as inspiring technical visits in the four-day Convention, participants will be able to learn latest development, viable strategies and key information in devising their sensible approaches, both in transport and logistics, for embracing the Belt and Road Initiative advocated by China, especially their possible access to and collaborations in the Greater Bay Area of Chinese Mainland. The Convention also offers excellent opportunities for exploring viable collaborations among participants.

Event Overview of CILT International Convention 2026

Theme: Global Corridors, Collaboration Excellence – 環球通達、卓越合作

Event Period: 20 – 24 September 2026

Venue: Hopewell Hotel, 15 Kennedy Road, Wan Chai, Hong Kong

Participants: Over 300 delegates, including 200 from overseas and the Chinese Mainland

Guest of Honour: Mr. John KC Lee, GBM, SBS, PDSM, PMSM – The Chief Executive of HKSAR

Keynote Speaker: Ms. Mable Chan, JP – Secretary for Transport and Logistics

Registration and more details: https://icm2026-cilthk.org/

About CILT and CILTHK: CILT is the world’s leading organisation for professionals in logistics, transportation and supply chain. With our global community, we are creating the deeper intelligence needed for our world’s future.

The Chartered Institute of Logistics and Transport in Hong Kong (CILTHK) is the professional body for those engaged in various sectors of transport and logistics, including air, sea and land, for both passengers and freight transportation. The Chartered Institute of Transport (CIT) was formed in the United Kingdom in 1919 as the Institute of Transport and became a Chartered Institute in 1926. The Institute first set up the Hong Kong Branch in 1968 and it was upgraded to the Hong Kong Section in 1972. On 1 October 1991, the Hong Kong Section was upgraded to National Council status and renamed as the Chartered Institute of Transport in Hong Kong (CITHK). This change gave CITHK the authority to handle all Institute matters independently.

[HKU-ITS] AI and Data Science Summer Workshop

AI and Data Science Summer Workshop

Organized by: Institute of Transport Studies, HKU

What to expect: This is a 5-day workshop designated for undergraduate students or above who wish to strengthen their theoretical knowledge and practical skills in AI and data science. In the 5-day workshop, participants will engage in a diverse range of activities, including English lectures by HKU professors from various departments, hands-on sessions with consultation and supervision, and a technical visit. The lectures will cover a broad spectrum of topics in AI and data science, such as big data analytics, machine learning, deep learning, large language models, forecasting, optimization, and research skills. To earn a certificate of completion, participants are required to pass a written test and a group project. Each group project will be supervised by an HKU professor and assessed by a group presentation plus a written report. The group demonstrating the best performance in their project will be presented with the best project award.

Instructors:	Potential project supervisors:
Prof. W. Y. Szeto	Prof. W. Y. Szeto
Prof. Yong-Hong Kuo	Prof. Jiayang Li
Prof. Jintao Ke	Prof. Xintao Yan
Prof. Xintao Yan	Prof. Junshi Xu
Prof. Zhan Zhao

Dates: Aug 17 – Aug 21, 2026 (Mon - Fri)

Venue: HKU Main Campus

Tentative Schedule:

	Aug 17 (Mon)	Aug 18 (Tue)	Aug 19 (Wed)	Aug 20 (Thu)	Aug 21 (Fri)
AM Session (9 am-12 noon)	Lecture: Big data analytics	Lecture: Deep Learning	Lecture: Large language models and forecasting techniques	Lecture: Optimization	Test and consultation hours for group projects
PM Session (2-5pm)	Lecture: Machine learning	Consultation hours for group projects	Technical tour: TBD	Lecture: Communication and research skills	Group Presentation and closing ceremony

Registration link:

https://hkuems1.hku.hk/hkuems/ec_hdetail.aspx?guest=Y&ueid=105158  

Registration deadline: August 10, 2026

Quota: Limited quota. First-come-first-served.

Registration fee:

• Normal fee: HK$11,800 (excluding accommodation, transportation, and meals)

• Discounted fee: HK$7,800 (only for HKU students, excluding accommodation, transportation, and meals)

Payment method: VISA, MASTERCARD, WeChat Pay, Alipay

Payment link:

https://onlinepytsysprd.feo.hku.hk/event/111750?code=0d845483567c43fcaa757e5c8b0f749e (normal fee)

https://onlinepytsysprd.feo.hku.hk/event/111898?code=de59c60081d243dab8fa3047bb498775  (for HKU students - HKU portal login required; discounted fee)

Enquiries: hkits@hku.hk

Student Seminar by Ms. Qingying He on May 28, 2026, 3:00PM

Title: Coordinated path planning of unmanned aerial vehicles (UAVs) and unmanned surface vehicles (USVs) for maritime monitoring

Speaker: Ms. Qingying He (The Hong Kong Polytechnic University)

Date: May 28, 2026 (Thursday)

Time: 3:00 pm - 4:00 pm

Venue: Tam Wing Fan Innovation Wing Two, HKU

Registration Link: https://forms.office.com/r/YuBwcqw9y2

ITS Student Committee will provide a beverage for registered participants.

Abstract: Maritime monitoring often involves dispersed tasks over open water, where fixed support infrastructure is limited and costly to deploy and maintain. UAVs provide fast aerial sensing, while USVs can operate for longer periods and support UAV launch, recovery, and energy replenishment. The key planning challenge is to coordinate UAV sorties and USV routes so that monitoring tasks and launch--recovery operations remain feasible. This talk presents optimization models and scalable algorithms for UAV--USV coordinated path planning. The study starts from a deterministic setting, where coordination and synchronization are captured through a mixed-integer linear programming model and solved by customized exact and heuristic algorithms. It then considers travel time uncertainty caused by weather, waves, and currents, and develops a robust optimization framework to improve synchronization reliability. It further addresses real-time planning with imperfect operational information, where a cluster-wise robust optimization method is used to update decisions while accounting for heterogeneous forecast errors. Numerical experiments in the context of Guangdong--Hong Kong--Macao Greater Bay Area show that the proposed methods are effective, computationally efficient, and reliable under uncertainty. The framework provides a practical decision-support tool for operating heterogeneous autonomous systems in uncertain maritime environments.

Bios: Qingying He is currently a PhD candidate at the Department of Aeronautical and Aviation Engineering, The Hong Kong Polytechnic University, under the supervision of Prof. Wei Liu. She holds a BSc in Mathematics and Applied Mathematics from Northeastern University and an MSc in Computational Mathematical Finance (with Distinction) from University of Edinburgh. Her research focuses on transportation network modeling, optimization, and data-driven decision-making, with an emphasis on multi-modal coordination across unmanned aerial, surface, and ground vehicles. Her research has been published in world-leading journals in the field, such as TR Part B, TR Part E, IEEE T-ITS and Transportmetrica B.