4 Mar 2026 (Wed) 17:00-18:00 | Distinguished Industrial Seminar by Mr. WANG Ning

Apollo Go: Driving the Future with Innovation

Speaker:

Mr. WANG Ning

Baidu Apollo International

Date:    Mar 4 (Wed), 2026

Time:   5:00pm – 6:00pm

Venue:  Tam Wing Fan Innovation Wing Two, G/F Run Run Shaw Building, HKU

Registration: https://forms.office.com/r/3CMJ2ehD2c

Abstract

Baidu Apollo’s robotaxi marks a significant step in the advancement of autonomous driving and intelligent mobility. The seminar aims to provide an overview of how autonomous driving is becoming integrated into daily life and its potential to enhance transportation systems. The progress and vision behind Apollo Go’s robotaxi service, along with the technologies supporting its development, will also be introduced.  The discussion will also highlight future trends in autonomous vehicle technology and Baidu Apollo’s globalization strategy, with Hong Kong identified as one of the first international destinations. By sharing these developments, Baidu Apollo seeks to encourage thoughtful conversation about the role of innovation in shaping the future of urban transportation and the ways these advancements could benefit communities in Hong Kong and beyond.

About the speaker

Mr. Ning WANG is a Senior Product Specialist at Baidu Apollo, where he leads the integration and large‑scale deployment of Apollo Go’s 6th‑generation Robotaxi (RT6) and he has played a key role in delivering multiple industry‑first milestones in autonomous mobility.

Mr. Wang holds a Master’s degree in Information Technology and Sensor Systems from the Technical University of Darmstadt in Germany. With nearly a decade of R&D and product leadership experience across China and Germany, including prior roles as Product Director at Momenta and Audi AG, he brings deep expertise in autonomous driving algorithms, data closed‑loop systems, and vehicle software integration. At Baidu Apollo, he is committed to bridging cutting‑edge AI research with real‑world, at‑scale industrial applications, advancing the commercialization of robotaxis and next‑generation intelligent driving solutions.

[HKU-ITS] AI与数据科学暑期工作坊 AI and Data Science Summer Workshop

[Please scroll down for the English texts]

AI与数据科学暑期工作坊

举办单位: 香港大学交通运输研究所

内容介绍: AI与数据科学暑期工作坊面向所有志在增进自己在AI与数据科学方面理论知识与实践技能的本科生。为期五天的工作坊包含由香港大学多个科系教授主讲的讲座、实践操作和咨询指导、以及科技考察等项目。讲座内容涵盖大数据分析、机器学习、深度学习、大语言模型、预测、最优化、以及科研技能等各个主题。学生需通过笔试和小组项目来取得结业证书。每个小组项目将由一名港大教授指导，并通过小组展示和书面报告的形式进行测评。表现最佳的小组将获颁最佳项目奖。

主讲人:	项目导师（暂定）:
司徒惠源教授	司徒惠源教授
郭永鸿教授	李加阳教授
柯锦涛教授	严鑫涛教授
严鑫涛教授	许骏什教授
赵展教授

活动日期: 2026年8月17日（一）至8月21日（五）

地点: 香港大学主校园

活动日程（暂定）:

	8/17	8/18	8/19	8/20	8/21
上午 (9-12)	讲座：大数据分析	讲座：深度学习	讲座：大语言模型与预测方法	讲座：最优化	笔试、小组项目咨询
下午 (2-5)	讲座：机器学习	小组项目咨询	科技考察	讲座：沟通与科研技能	小组展示和结业仪式

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

报名截止日期: 2026年8月10日

活动名额: 名额有限，先到先得

工作坊学费:

• 早鸟价9800港币（不晚于2026年4月15日报名和付款，费用不含交通食宿）

• 普通价11800港币（费用不含交通食宿）

支付方法: VISA、MASTERCARD、微信支付、支付宝

支付链接: https://onlinepytsysprd.feo.hku.hk/event/111750?code=0d845483567c43fcaa757e5c8b0f749e  

联系邮箱: hkits@hku.hk

[English version of the texts]

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 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.

Tuition fee:

• Early bird: HK$9,800 (excluding accommodation, transportation, and meals) (registration and payment on or before April 15, 2026)

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

Payment method: VISA, MASTERCARD, WeChat Pay, Alipay

Payment link:

https://onlinepytsysprd.feo.hku.hk/event/111750?code=0d845483567c43fcaa757e5c8b0f749e  

Enquiries: hkits@hku.hk

CPD Course: Fiscal Measures for Combatting Traffic Congestion in Hong Kong (Jan 10, 2026)

CPD Course: Fiscal Measures for Combatting Traffic Congestion in Hong Kong

Organized by

The Institute of Transport Studies

The University of Hong Kong

Date:   January 10, 2026

Time:   2 p.m. – 6 p.m. 

Format:  In-person Lecture

Venue:   HW 612B, 6/F Haking Wong Building, The University of Hong Kong 

Ir. Alfred Lam

Dr. Timothy Hau

SYNOPSIS 

Traffic congestion adversely affects the development and productivity of cities and the livelihood of their residents and visitors. This course explores the rudimentary and sophisticated fiscal measures for addressing traffic congestion in Hong Kong and overseas.  The effectiveness of the first registration tax (FRT), vehicle license fee (VLF), fuel levy and passage tax is examined with regards to local transport policy. The merits of introducing time-varying tolling at the three road harbour crossings as of December 17, 2023 are explored. New measures, such as quota premium for controlling vehicle ownership and electronic road pricing for reducing traffic movement in an area, shall also be advanced. In addition to the planning and engineering analyses, a transportation economics approach is delved into. Starting from first economic principles, the efficacy of the pricing approach is investigated. Congestion pricing curtails excess traffic and results in travel time saved which otherwise would have been lost. A congestion charge aims to internalize the congestion externality. Since a congestion charge is calculated on the incremental congestion cost that a motorist causes other vehicles behind him to slow down, all vehicles should be charged rather than merely singling out the automobile. Emergency vehicles are the only ones to be exempted. As a proxy measure for congestion, a congestion charge should be based on the road space taken up by a vehicle when moving in a traffic stream. Congestion charging based on the road space taken up by a vehicle by time of day and location is both efficient and fair. A brief economic assessment of several overseas practices to date includes Singapore’s Area Licensing Scheme (1975) followed by its Electronic Road Pricing System (1998), London (2003), Stockholm (2007), Milan (2007), Gothenberg (2013) and New York City (as of January 5, 2025).

Language:  English

CPD Credit: This short course is recommended for four CPD-hour credits.

e-Certificate of Attendance will be issued to attendees.

Rundown:                  2:00 p.m. – 3:30 p.m. Lecture by Alfred C.Y. Lam

                                    3:30 p.m. – 3:45 p.m. Break                                      

                                    3:45 p.m. – 5:45 p.m. Lecture by Timothy D. Hau

                                    5:45 p.m. – 6:00 p.m. Q&A session                        

(This program is subject to minor modifications without further notice.)

Registration fee:        HK$880 per person

All payments are non-refundable.

Registration:              Please visit our website:

https://hkuems1.hku.hk/hkuems/ec_hdetail.aspx?guest=Y&ueid=104111 for online registration. The deadline for the registration will be on 8 January 2026 (Thursday).

Enquiries:                  For general enquiries, please contact Dr. Mingxuan CHEN (email: hkits@hku.hk).

ABOUT THE SPEAKERS

Ir Alfred C.Y. Lam is Adjunct Associate Professor in the Department of Civil Engineering and the Department of Geography at the University of Hong Kong. He was Chief Engineer (Transport Planning) in the Transport Department and has been working as a transport planner and engineer in government departments and consultancy firms for over four decades. He worked on a wide range of transport planning and traffic engineering projects in Hong Kong and overseas and garnered extensive experience in planning for new highways and formulating transport policies. He is conversant in developing and applying transport and traffic models to produce traffic and transport demand forecasts for assessing alignment, configuration and tolling. He conducted and managed numerous traffic impact studies and transport projects involving traffic and transport surveys, travel demand analyses, traffic engineering designs and assessments. He continues to teach transport planning and supervises dissertation work at the master’s degree level at the University of Hong Kong.

Dr Timothy D. Hau is Honorary Associate Professor of Economics, HKU Business School. He obtained his B.A. from Stanford, and M.A. and Ph.D. in economics from U.C. Berkeley. He taught at U.C. Davis before joining HKU. The World Bank invited him to work as an economist in its Transport Division, Infrastructure and Urban Development Department in the nineties. He also worked in its Public Economics Division, Policy Research Department. His World Bank papers on the theory and mechanisms of road use charging have been widely circulated and cited in the academic and professional literature. He was once awarded the Faculty Outstanding Teacher Award. His single-authored papers have appeared in journals such as Economica, Economics Letters, Journal of Transport Economics and Policy, Built Environment, Transportation Research B, and Transportmetrica. The International Encyclopedia of Transportation 2021 carries his four entries on congestion pricing, public transportation pricing, road investment, and an Electronic Road Pricing proposal for Hong Kong. Besides the WB, he provided policy advice to the ADB, IADB, UN, and the National Research Council (US).

Non-financial sponsor:

The Chartered Institution of Highways & Transportation (Hong Kong Branch)

The Chartered Institution of Logistics and Transport