CUHK Engineering Job Fair 2026

 

Venue
Room 603 (Reading Room), Ho Sin Hang Engineering Building, CUHK
Date: 
Thursday, February 26, 2026
Time
Tuesday, March 17, 2026 to Wednesday, March 18, 2026
e_title: 
CUHK Engineering Job Fair 2026
Not Available
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雲端對談 第四系列 - 歐國威 (康諾思騰創始人及首席執行官)

雲端對談 第四系列 - 歐國威 (康諾思騰創始人及首席執行官)

Date: 
Friday, February 20, 2026
Media: 
Viu TV

中大研AI「風烏」 天氣有效預報增至11.25天 全球首個突破10天中期氣象預報模型 來源網址 : 天氣中大研AI風烏-天氣有效預報增至1125天-全球首個突破10天中期氣象預報模型

人工智能(AI)技術應用日廣,香港天文台去年亦引入AI氣象預報系統「風烏」,用於大雨及颱風預測。該系統由香港中文大學與上海人工智能實驗室等機構聯合研發,其研發者之一、香港中文大學工程學院信息工程學系教授歐陽萬里近日接受本報專訪時表示,「風烏」有效預報天數已提升至11.25天,是全球首個突破10天的中期氣象預報模型......
 
 
Date: 
Monday, February 9, 2026
Media: 
stheadline.com

CUHK Faculty of Engineering and Shanghai Jiao Tong University Global College sign MOU to launch integrated bachelor-to-doctor programs

Date: 
2026-02-02
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The Chinese University of Hong Kong‘s (CUHK) Faculty of Engineering and Shanghai Jiao Tong University Global College (SJTUGC, abbreviated as GC hereafter) signed a Memorandum of Understanding (MOU) on January 28 to jointly launch an integrated bachelor-to-doctor programs under the Global Degree Pathways (GDP) initiative. The MOU was signed by GC Dean Professor Hesheng Wang and Professor Hon-ki Tsang, Dean of CUHK’s Faculty of Engineering.

Through the collaboration, the GDP program is expected to serve as a starting point for gradually building a multi-tiered cooperation framework encompassing undergraduate dual-degree and postgraduate programs. By leveraging the complementary strengths of the two universities in engineering disciplines, the partnership is expected to create accelerated pathways for SJTU students to pursue advanced international studies, while promoting deeper integration in scientific research, innovation, and discipline development. The collaboration also aims to establish a model for cooperation between leading universities in the Guangdong–Hong Kong–Macao Greater Bay Area and the Chinese Mainland.

The scope of the collaboration will innovatively include integrated Bachelor–Master and Bachelor–Doctor pathways. Students may apply to the Master of Philosophy (MPhil) and Doctor of Philosophy (PhD) programs at CUHK. Covered disciplines include embodied intelligence, robotics, automation and automatic control, artificial intelligence, information science, materials science and engineering, and mechanical engineering, among other frontier fields. Students admitted to the programs will receive full financial support from CUHK, providing strong support for their research activities and academic development.

According to the agreement, the programs primarily target the fourth-year undergraduate students at GC. Interested students may submit their applications during the autumn semester of their final year of studies. Upon recommendation by GC and approval by CUHK, selected students will receive pre-admission offers to master’s or doctoral programs. After completing their undergraduate studies and graduating from GC in August, students may directly commence master’s or doctoral studies at the CUHK Faculty of Engineering in September of the same year. The first round of applications is now open.

 

About the Global Degree Pathways (GDP) program

The GDP program is a structured series of integrated bachelor’s, master’s, and doctoral programs jointly developed by GC and its international partners. The program emphasizes interdisciplinary learning and innovative engineering education, with flexible academic pathways designed to align with the college’s curriculum and accommodate diverse academic and career objectives. To date, the GDP program has established partnerships with 12 internationally renowned universities.

 

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Faculty
Media Release

IE PhD Alumnus Kaiming He ranked top five most highly cited scientist globally

Date: 
2025-08-29
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Dr. Kaiming He, an alumnus of the IE PhD program in 2011, is an Associate Professor with tenure at MIT. His research areas include computer vision and deep learning. Dr. He was supervised by Prof. Sean Tang during his PhD study in Information Engineering at CUHK. Dr. He is best known for his work on Deep Residual Networks (ResNets), which is the most-cited paper of the twenty-first century, according to a Nature article. Currently, his total citation count is as high as 730,000, and the high citation count in the past five years is 610,000 in total. He Kaiming's most well - known research is ResNets, whose influence is not limited to the field of computer vision, and its design concept is widely applied in modern deep learning models.

According to the AD Scientific Index in 2025, Dr. He's paper ranked the fifth most highly cited one [Source:https://www.adscientificindex.com/citation-ranking/]. In addition, his paper placed the first most highly cited paper according to the ranking by Nature on paper citation [Source: https://www.nature.com/articles/d41586-025-01125-9].  

 

 

 

Filter: Dept: 
IE
Name: 
CAI Yuting
Title ( post ): 
Research Assistant Professor
Department: 
Electronic Engineering
email: 
ytcai@ee.cuhk.edu.hk
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Class: 
faculty_member
Name: 
AI Fei
Title ( post ): 
Research Assistant Professor
Department: 
Mechanical and Automation Engineering
email: 
feiai@mae.cuhk.edu.hk
phone: 
3943 9269
Avatar: 
Class: 
faculty_member
glossary_index: 
A
Name: 
Hon Hsiao Wuen
Title ( post ): 
Vice-Chancellor Visiting Professor
Avatar: 
Class: 
faculty_member
Chinese Name: 
洪小文
glossary_index: 
H

Six Engineering projects funded by 2025/26 NSFC/RGC Joint Research Scheme and Collaborative Research Scheme

Date: 
2026-01-16
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The Research Grants Council (RGC) of Hong Kong announced the funding results of the National Natural Science Foundation of China (NSFC)/RGC Joint Research Scheme (JRS) and Collaborative Research Scheme (CRS) 2025/26. Six projects led by Engineering Professors received funding from JRS (five projects) and CRS (one project) with a total amount of over HK$8.7 million.

The 6 Principal Investigators from Faculty of Engineering who received funding from the JRS are, in alphabetical order of family name: Professor Chen Yue from the Department of Mechanical and Automation Engineering, Professor Patrick Lee Pak-ching from the Department of Computer Science and Engineering, Professor Lu Yi-chun from the Department of Mechanical and Automation Engineering, Professor Xu Qiang from the Department of Computer Science and Engineering, and Professor Yuan Yixuan from the Department of Electronic Engineering.

In addition, one collaborative research project between Hong Kong China and the Chinese Mainland is being funded by the NSFC/RGC CRS, led by Professor Mao Chuanbin from the Department of Biomedical Engineering.

The NSFC/RGC JRS and CRS support four-year research proposals jointly submitted by Chinese Mainland and Hong Kong researchers. The JRS aims to promote collaboration between researchers and teams in Hong Kong and the Chinese Mainland that complement the strengths of both sides. Each successful Hong Kong JRS applicant receives a maximum grant of HK$1.25 million. The CRS aims to support larger-scale collaborative research across disciplines and universities in the Chinese Mainland and Hong Kong, with a view to enhancing research output and impact. Each successful Hong Kong CRS applicant receives a maximum grant of HK$3.6 million.

 

More details: https://www.cpr.cuhk.edu.hk/en/press/12-cuhk-projects-funded-by-2025-26-nsfc-rgc-joint-research-scheme-and-collaborative-research-scheme/

Professor Chen Yue, Department of Mechanical and Automation Engineering

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Professor Patrick Lee Pak-ching, Department of Computer Science and Engineering

Professor Lu Yi-chun, Department of Mechanical and Automation Engineering

Professor Xu Qiang, Department of Computer Science and Engineering

Professor Yuan Yixuan, Department of Electronic Engineering

Professor Mao Chuanbin , Department of Biomedical Engineering

 

 

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