Professor Alan Li and Professor Fei Chen receive Strategic Partnership Award for Research Collaboration 2025

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2025-05-21
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Professor Alan Li from Department of Biomedical Engineering and Professor Fei Chen from Department of Mechanical & Automation Engineering have received the Strategic Partnership Award for Research Collaboration (SPARC) 2025.

Professor Li is awarded for the project 'Harnessing In Situ Organoidogenesis in 30 Bioprinted Dynamic Hydrogels for Regeneration of Critical-Sized Bone Defects', collaborating with The University of Sydney, Australia. Professor Chen is awarded for the project “Learning Cross-embodiment Loco-manipulation from Human Demonstrations for Humanoid Robots”, under collaboration with University of California, Los Angeles, USA.

As part of the Chinese University of Hong Kong’s global engagement effort, the Strategic Partnership Award for Research Collaboration (SPARC) was established in 2021 to build joint research programmes with some of the University’s priority partners. The award supports 12-month joint research collaborations with top-tier overseas institutions in the four strategic research areas identified in CUHK 2025, which are China: Tradition and Modernity; Innovative Biomedicine; Information and Automation Technology; and Environment and Sustainability.

More details about SPARC: https://www.oal.cuhk.edu.hk/sparc/

Professor Alan Li, Department of Biomedical Engineering.

Professor Fei Chen, Department of Mechanical & Automation Engineering

 

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[FinTech Seminar] The Application of Machine Learning in Quantitative & Algorithmic Trading

This talk explores the transformative role of machine learning (ML) in quantitative and algorithmic trading, highlighting its applications, opportunities, and challenges. We begin by introducing core ML concepts—supervised, unsupervised learning —and their relevance to financial markets. The discussion then covers practical applications, including predictive modeling for asset price movements, volume prediction and forecasting, Algo recommendations, clustering stock characteristics and applications in high-frequency trading strategies.

Venue
Emerald Room, CUHK Business School Town Centre (Unit B, 1/F, Bank of America Tower, 12 Harcourt Road, Central, H.K.)
Date: 
Wednesday, June 18, 2025
Time
Wednesday, June 18, 2025 to 17:30
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[FinTech Seminar] The Application of Machine Learning in Quantitative & Algorithmic Trading
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The Chinese University of Hong Kong - Shanghai Jiao Tong University Admission Talk on Dual Degree Programme

 

The Department of Systems Engineering and Engineering Management at The Chinese University of Hong Kong and the Antai College of Economics and Management (Bank of China Institute of Financial Technology) at Shanghai Jiao Tong University has scheduled an admission talk on Dual Degree Programme in Bachelor of Engineering in Financial Technology (The Chinese University of Hong Kong) and Bachelor of Economics in Finance (Shanghai Jiao Tong University)” on May 17, 2025, at The Chinese University of Hong Kong. This event will feature keynote speeches and discussions from the deans of the collaborating institutions, industry experts, distinguished alumni, and current students. The aim is to provide prospective students with a better understanding of the programme's objectives, unique features, advantages, curriculum, and future prospects. We are also honored to have Prof. SUN Dong, Secretary for Innovation, Technology and Industry, deliver a speech at the event.

 

Event Agenda:

 

  • 9:00-9:05: Opening Remarks by Secretary for Innovation, Technology and Industry, Prof. SUN Dong
  • 9:05-9:15: Opening Speeches by the Deans of both institutions (Prof. TSANG Hon Ki & Prof. LIU Shaoxuan)
  • 9:15-9:20: Speech by Prof. LAM Wai, Department Chairman
  • 9:20-9:30: Introduction of the Programme by Prof. CHEN Nan, Programme Director
  • 9:30-9:40: Admission Procedures by Prof. WAI Hoi To
  • 9:40-10:20: Industry Guest Speakers (Ms. Rachel LEE, Ms. ZHU Jing)
  • 10:20-10:40: Tea Break
  • 10:40-11:10: Alumni Sharing
  • 11:10-11:20: Current Students Sharing
  • 11:20-11:50: Q&A and Free Discussion

 

Registration Link: https://cloud.itsc.cuhk.edu.hk/webform/view.php?id=13709509

 

For inquiries, please contact the Department of Systems Engineering and Engineering Management at The Chinese University of Hong Kong:

Phone: 3943 8315

Email: dept@se.cuhk.edu.hk

Venue
Yasumoto International Academic Park (YIA) Lecture Theatre 5
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Date: 
Friday, May 9, 2025
Time
Saturday, May 17, 2025 to 12:00
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The Chinese University of Hong Kong - Shanghai Jiao Tong University Admission Talk on Dual Degree Programme: Bachelor of Engineering in Financial Technology (CUHK) and Bachelor of Economics in Finance (SJTU)
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CUHK unveils world-first magnetically driven patient-derived blood hydrogel robot for precise brain tumour therapy

Date: 
2025-05-07
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A collaborative research team, led by Professor Zhang Li from The Chinese University of Hong Kong (CUHK)’s Department of Mechanical and Automation Engineering; Professor Wang Ben, an associate professor at Shenzhen University’s College of Chemistry and Environmental Engineering; and Dr Xu Tiantian from the Shenzhen Institutes of Advanced Technology (SIAT), Chinese Academy of Sciences, has successfully developed the world’s first magnetically driven blood hydrogel fibre robots in the SIAT-CUHK Joint Laboratory of Robotics and Intelligent Systems. This breakthrough marks a significant advancement in the treatment of deep-seated intracranial tumours. The research result has been published in the internationally renowned journal Nature Biomedical Engineering, with Professor Zhang Li, Associate Professor Wang Ben and Dr Xu Tiantian serving as the corresponding authors of the study.

New technology overcomes challenges in brain tumour therapy

Intracranial tumours located in deep brain regions or adjacent to functional areas have long posed significant challenges in clinical treatment. Conventional surgery often carries the risk of irreversible neurological damage due to the complexity of anatomical pathways. Radiotherapy may result in radiation necrosis of normal brain tissue, while chemotherapy is limited by the low permeability of the blood-brain barrier, making it difficult to achieve effective drug concentrations. Therefore, developing a non-invasive, precise and efficient treatment for such tumours remains an urgent and formidable challenge.

To address the issues associated with treating tumours in deep brain regions and near functional areas, the Hong Kong-Shenzhen interdisciplinary team has developed an innovative, magnetically driven, biohybrid blood hydrogel fibre robot based on the patient’s own blood. Using fibrin extracted from autologous blood and biomimetic gelation techniques, the team fabricated a flexible carrier with mechanical properties closely matched to brain tissue, significantly reducing the risk of immune rejection. Magnetic particles embedded within the robot enable a variety of biomimetic movements such as swinging, rolling and crawling, which allow it to navigate flexibly through complex brain regions like the subarachnoid space. Coupled with X-ray imaging technology, the entire therapeutic process can be monitored and precisely guided in real time.

The team has abandoned the conventional vascular delivery pathway and, in a breakthrough approach, selected cerebrospinal fluid as the robot’s natural channel for transportation. By integrating a specially designed multimodal magnetic actuation strategy, the robot can precisely navigate through brain structures and reach the tumour site. Upon arrival at the target, the robot is fragmented by a magnetically induced mechanical rupture mechanism under a high intensity oscillating magnetic field, enabling the efficient release of the chemotherapeutic agents it carries. This significantly increases local drug concentration, enhances therapeutic efficacy and reduces systemic side effects, providing a novel solution for the non-invasive, precise, efficient treatment of deep-seated, functionally critical intracranial tumours.

Hong Kong-Shenzhen team’s research collaboration drives clinical translation

Professor Zhang said: “This innovative, magnetically driven blood hydrogel fibre robotic system integrates cutting-edge technologies from multiple disciplines, including biomaterials and intelligent microrobotics. It demonstrates the advantages of collaborative innovation and resource sharing between Hong Kong and Shenzhen in the fields of biomaterials, soft robotics and medical imaging, paving a new path for precise, non-invasive treatment of intracranial tumours located in deep brain regions or adjacent to functional areas.”

Professor Wang said: “The interdisciplinary team has been focusing on nanorobotic thrombolysis for years. During the exploration of the soft structure of thrombi, we developed a gel robot derived from the patient’s own blood, which not only possesses a low modulus matching that of human brain tissue but also demonstrates the ability to swim through both narrow and deep cavities. More importantly, as the material is sourced autologously, it effectively avoids immune rejection and greatly enhances future clinical applicability.”

Dr Xu said: “By integrating a high-precision magnetic control system with real-time imaging tracking, the interdisciplinary team has enabled the blood hydrogel fibre robot to efficiently and accurately navigate to lesions within complex environments such as cerebrospinal fluid. This establishes a new paradigm for the automated application of microrobots in medical therapy.”

This breakthrough not only showcases the robust capabilities of Hong Kong-Shenzhen collaborative innovation but also lays a solid foundation for the broader application of personalised medicine and intelligent medical robots in the healthcare sector. Professor Wang, the study’s first author, obtained his PhD in Professor Zhang Li’s research group at CUHK. The Joint Laboratory of Robotics and Intelligent Systems at SIAT-CUHK, jointly established by Professor Zhang and Dr Xu, brings together a multidisciplinary team, providing powerful support for the project’s rapid advancement and technological breakthroughs. The team will continue to optimise the material properties and locomotion performance, expand the range of applicable indications and promote clinical translation.

This research was supported by the Research Grants Council (RGC) of Hong Kong, the Croucher Foundation, the National Natural Science Foundation of China, the Shenzhen Science and Technology Programme, the SIAT-CUHK Joint Laboratory of Robotics and Intelligent Systems and Intelligent Systems, and the Multi-Scale Medical Robotics Center (MRC), InnoHK.

For the full research, please visit: https://www.nature.com/articles/s41551-025-01382-z

Professor Zhang Li from CUHK’s Department of Mechanical and Automation Engineering led a collaborative research team that has successfully unveiled world-first magnetically driven patient-derived blood hydrogel fibre robots for targeted brain tumour therapy.

Intracranial delivery of the magnetically driven blood hydrogel fibre robot under the combined system of a magnetic actuation unit and fluoroscopy.

Multimodal locomotion of the magnetically driven blood hydrogel fibre robots.

In vivo intracranial tumour therapy in pigs using the magnetically driven blood hydrogel fibre robots

 

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中大研發首個機械人 無創追蹤顱內腫瘤

腦腫瘤治療因涉及複雜解剖路徑,通過手術治療往往出現不可逆轉的神經損傷風險;放射治療亦可能導致正常腦細胞壞死;即使化療也難以達到有效藥物濃度,故一直是臨床治療上難以攻克的難題。

Date: 
Wednesday, May 7, 2025
Media: 
Singtao.com

本地研發手術機械人 減低手術傷口康復期

中文大學機械與自動化工程學系教授歐國威在本台節目表示,由他研發的高精密手術機械人技術,目前已經過臨床試驗,進行200次手術,並得到國家藥監局批准,能在香港及內地銷售。他指,手術機械人已經在沙田威爾斯親王醫院及中大醫院「裝機」,並將在北京大學應用,進行泌尿外科手術。

 

Date: 
Sunday, May 4, 2025
Media: 
881903.com
Name: 
GAO Huxin
Title ( post ): 
Research Assistant Professor
Department: 
Electronic Engineering
email: 
hxgao@ee.cuhk.edu.hk
phone: 
3943 4344
website: 
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高沪昕
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Name: 
XUE Ying
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Assistant Professor
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yxue@ee.cuhk.edu.hk
phone: 
3943 0460
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Faculty of Engineering wins 11 awards at the 50th International Exhibition of Inventions Geneva

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2025-04-22
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Faculty of Engineering has won 11 awards at the 50th International Exhibition of Inventions Geneva, including 2 Gold Medals with Congratulations of the Jury, 4 Gold Medals, 2 Silver Medals and 3 Bronze Medals. These achievements demonstrated Faculty members’ effort in pioneering research and innovation. These remarkable results not only showcase our research teams’ pursuit of innovation but also their commitment to transferring knowledge into practical applications.

The International Exhibition of Inventions Geneva is the largest global exhibition devoted exclusively to inventions. All entries are evaluated by an international jury of 135 specialists. This year’s exhibition featured over 1,050 inventions from 38 countries and regions.

Summary of CUHK Engineering award-winning projects:

Gold Medal with Congratulations of the Jury

  1. Battery-free Wireless Keyboard

         Members: Professor Liao Wei-hsin, Dr Li Xin (Department of Mechanical and Automation Engineering)

  1. Magnet Micro-/Nano-robot for Endovascular Treatment

     Members: Professor Zhang Li, Dr Liu Wai-shing, Dr Jin Dong-dong (Department of Mechanical and Automation Engineering); Professor Simon Yu Chun-ho (Department of Imaging and Interventional Radiology); Professor Chan Kai-fung (Chow Yuk Ho Technology Centre for Innovative Medicine)

Gold Medal

  1. An Intelligent LiDAR with Adaptive Focus

          Members: Professor Xing Guoliang, Huang Xuan, Bian Chen (Department of Information Engineering)

  1. An Ultra-wideband Wide-angle Beam-scanning Phased Array Antenna

          Members: Professor Steven Gao, Cheng Hao (Department of Electronic Engineering)

  1. Curve Robotics: Flexible Robotic Solutions for Minimally Invasive Neurosurgery

          Members: Professor Cheng Shing-shin (Department of Mechanical and Automation Engineering)

  1. Sonar-based Underwater Human Activity Monitoring System

          Members: Professor Yan Zhenyu, Professor Xing Guoliang, Hou Haozheng, Bowen Zheng, Wu Peiheng (Department of Information Engineering)

Silver Medal

  1. EStent – Battery-free Electronic Stent for Electrical Stimulation of Acid Reflux

          Members: Professor Chan Kai-fung, Dr Zhang Chong (Chow Yuk Ho Technology Centre for Innovative Medicine); Professor Zhang Li, Dr Pan Chengfeng (Department of Mechanical and Automation Engineering); Professor Philip Chiu Wai-yan, Dr Xia Xianfeng (Department of Surgery); Tian Huaiwen (Department of Biomedical Engineering)

  1. Ultrafast Photothermal ddPCR System Based on Plasmonic Fluorosurfactant

          Members: Professor Ho Yi-Ping, Dr Cheng Guangyao (Department of Biomedical Engineering)

Bronze Medal

  1. 3D Weaving-based Freeform Sensing Interface

          Members: Professor Yam Yeung (Centre for Perceptual and Interactive Intelligence, Department of Mechanical and Automation Engineering); Professor Charlie C.L. Wang, Dr Dai Chengkai, Chen Xiangjia, Lam Chun-ping, Sun Binzhi (Centre for Perceptual and Interactive Intelligence)

  1. Batteryless Smart Insole for Gait Monitoring

          Members: Professor Liao Wei-Hsin, Professor Zhao Huan, Dr Li Xin (Department of Mechanical and Automation Engineering)

  1. No-code AI Platform for Building Reliable, Confidence-scored Chatbots

          Members: Professor Helen Meng (Centre for Perceptual and Interactive Intelligence, Department of Systems Engineering and Engineering Management); Dr Liu Pengfei, Cheng Ka-hei, Charlie Chen, Wong Yu-yi (Centre for Perceptual and Interactive Intelligence)

 

More details: CUHK wins a record-breaking 34 awards at the 50th International Exhibition of Inventions Geneva | CUHK Communications and Public Relations Office

CUHK achieved unprecedented success at the 50th International Exhibition of Inventions Geneva, winning a stunning 34 awards.

UHK innovations bagged 33 medals: seven Golds with Congratulations of the Jury, eight Golds, 11 Silvers and seven Bronzes.

The project “Battery-free Wireless Keyboard” led by Professor Liao Wei-hsin, Professor in the Department of Mechanical and Automation Engineering, was awarded a Gold Medal with Congratulations of the Jury.

The project “Magnet Micro-/Nano-robot for Endovascular Treatment” led by Professor Zhang Li , Professor in the Department of Mechanical and Automation Engineering, was awarded a Gold Medal with Congratulations of the Jury.

 

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