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[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
    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:

    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:

    Enquiries: hkits@hku.hk

     
     
     

    HKSTS 2025 Pre-Conference Workshop: International Symposium on Smart Mobility Systems


      2025 International Symposium on Smart Mobility Systems

      Pre-Conference (HKSTS) Workshop


      Jointly organized by

      Department of Civil Engineering & Department of Data and Systems Engineering & Institute of

      Transport Studies, The University of Hong Kong

      The Hong Kong Society for Transportation Studies (HKSTS)

      Engineering Management (originally named as Frontiers of Engineering Management), a Springer Nature journal supervised by the Chinese Academy of Engineering


      Date: 6 December 2025 (Saturday)

      Time: 13:00 – 18:00

      Venue: CPD-3.04, Centennial Campus, Central Podium Levels - Three (CPD-3, Run Run Shaw

      Tower), The University of Hong Kong


      Aims and Scopes

      This workshop centers on Smart Mobility, emphasizing the integration of advanced technologies

      and intelligent systems to create efficient, sustainable, and user-centric transport solutions. With the rise of emerging modes such as urban air traffic and shared autonomous vehicles, new challenges are reshaping traffic operations and planning. The workshop aims to foster discussion on innovative approaches that enhance mobility accessibility and system resilience. We welcome both local and overseas scholars to attend the workshop for exchanging their ideas and insights!


      Co-chairs

      Dr. Jintao KE (kejintao@hku.hk), Department of Civil Engineering, The University of Hong Kong

      Dr. Fangni ZHANG (fnzhang@hku.hk), Department of Data and Systems Engineering, The

      University of Hong Kong

      Dr. Ryan C. P. WONG (cpwryan@hku.hk), Department of Civil Engineering, The University of

      Hong Kong


      Secretary

      Dr. Bin ZHOU (binchou@hku.hk), Department of Civil Engineering, The University of Hong Kong


      Registration: free admission but registration is required (Click Here). All are welcome. When you enter HKU,

      please show the registration confirmation page to the campus guard.

      Registration QR Code
      Registration QR Code

      Tentative Workshop Programme on 6 December 2025


      13:00-13:05 Opening Address by Dr. Jintao Ke

      13:05 –13:45 Sensitivity of ITS Learning Models with Mobility Data- applications in transportation privacy and cybersecurity by Xuegang Ban, William and Marilyn Conner Endowed Professor, Department of Civil and Environmental Engineering, The University of Washington

      13:45 –14:25 Exact Methods through Decomposition: Insights from Logic-Based Benders Decomposition by Roberto Baldacci, Professor, College of Science and Engineering, Hamad Bin Khalifa University

      14:25 – 15:05 Physics-informed data analytics - exploiting domain knowledge with hard data in a transportation network by Yueyue Fan, Professor, Department of Civil and Environmental Engineering, University of California, Davis

      15:05 – 15:45 From Self-Driving to Self-Organizing: Connected Vehicles as Catalysts for Smart Mobility by Lina Kattan, Professor, Schulich School of Engineering, University of Calgary

      15:45 – 16:00 Break

      16:00 – 16:40 Disturbance Mitigation Strategies for Scheduled Mobility Systems by Fang He, Tenured Associate Professor, Department of Industrial Engineering, Tsinghua University

      16:40 – 17:20 Coordinated urban logistics: Combining public transit and drones for efficient distribution by Kai Wang, Associate Professor, School of Vehicle and Mobility, Tsinghua University

      17:20 – 18:00 Joint Online Freight Allocation and Train Unit Scheduling with Reusable Resources for Emergency Logistics by Jiateng Yin, Professor, School of Systems Science, Beijing Jiaotong University


      For abstracts and biographies of speakers and more details, please check the details here.


       
       
       

      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
        Ir. Alfred Lam
        Dr. Timothy Hau
        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

         
         
         
        © 2023 by Institute of Transport Studies. The University of Hong Kong.
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