CUHK Faculty of Engineering and Hang Seng Bank Sign MOU for Nurturing FinTech Talents

Date: 
2019-12-17
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Prof. Martin D. F. Wong, Dean of Faculty of Engineering, CUHK and Mrs. Eunice Chan, Chief Operating Officer of Hang Seng Bank signed a memorandum of understanding for collaboration between the two parties on 9 December 2019.   This perfectly demonstrates the synergy between academic strength and practical expertise, the two parties join hands in nurturing students of the MSc FinTech and BEng FinTech programmes.  

 
With such a partnership, Hang Seng Bank inspires students of FinTech programmes through designated internships as well as industrial projects.  Hang Seng Bank is also very supportive to the CUHK FinTech programmes and therefore have designated scholarships for the FinTech students. 
Both parties believe that closer links between education sector and the banking industry will foster the development of FinTech in Hong Kong.
 

Prof. Martin D. F. Wong and Mrs. Eunice Chan

 

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Prof. Shih-Chi Chen Presents a Game-changing Nanoscale 3D Printing Technology – Femtosecond Projection Two-photon Lithography Boosts Printing Speed by up to 10,000 Times

Date: 
2019-12-11
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Ultraprecise 3D printing technology is a key enabler for manufacturing precision biomedical and photonic devices. However, the existing printing technology is limited by its low efficiency and high cost. Professor Shih-Chi Chen and his team from the Department of Mechanical and Automation Engineering collaborated with the Lawrence Livermore National Laboratory to develop the “Femtosecond Projection Two-photon Lithography (FP-TPL)” printing technology. By controlling the laser spectrum via temporal focusing, the laser 3D printing process is performed in a parallel layer-by-layer fashion instead of point-by-point writing. This new technique substantially increases the printing speed by 1,000 - 10,000 times, and reduces the cost by 98%. The achievement has recently been published in Science, affirming its technological breakthrough that leads nanoscale 3D printing into a new era.

The conventional nanoscale 3D printing technology, i.e., two-photon polymerisation (TPP), operates in a point-by-point scanning fashion. As such, even a centimeter-sized object can take several days to weeks to fabricate (build rate ~ 0.1 mm3/hour). The process is time-consuming and expensive, which prevents practical and industrial applications. To increase speed, the resolution of the finished product is often sacrificed. Professor Chen and his team have overcome the challenging problem by exploiting the concept of temporal focusing, where a programmable femtosecond light sheet is formed at the focal plane for parallel nano-writing; this is equivalent to simultaneously projecting millions of laser foci at the focal plane, replacing the traditional method of focusing and scanning laser at one point only. In other words, the FP-TPL technology can fabricate a whole plane within the time that the point-scanning system fabricates a point.

What makes FP-TPL a disruptive technology is that it not only greatly improves the speed (approximately 10 – 100 mm3/hour), but also improves the resolution (~140 nm / 175 nm in the lateral and axial directions) and reduces the cost (US$1.5/mm3). Professor Chen pointed out that typical hardware in a TPP system includes a femtosecond laser source and light scanning devices, e.g., digital micromirror device (DMD). Since the main cost of the TPP system is the laser source with a typical lifetime of ~20,000 hours, reducing the fabrication time from days to minutes can greatly extend the laser lifetime and indirectly reduce the average printing cost from US$88/mm3 to US$1.5/mm3 – a 98% reduction.

Due to the slow point-scanning process and lack of capability to print support structures, conventional TPP systems cannot fabricate large complex and overhanging structures. The FP-TPL technology has overcome this limitation by its high-printing speed, i.e., partially polymerised parts are rapidly joined before they can drift away in the liquid resin, which allows the fabrication of large-scale complex and overhanging structures, as shown in Figure 1 (G). Professor Chen said that the FP-TPL technology can benefit many fields; for example, nanotechnology, advanced functional materials, micro-robotics, and medical and drug delivery devices. Because of its significantly increased speed and reduced costs, the FP-TPL technology has the potential to be commercialised and widely adopted in various fields in the future, fabricating meso- to large-scale devices.

The research team has been supported by the Innovation and Technology Commission (ITC), receiving multiple Innovation and Technology Fund (ITF). The project also received support from the Lawrence Livermore National Laboratory, under the Department of Energy of the United States. The research team has received multiple U.S. patents related to this project and the results were published in Science in October. Science is regarded as one of the most prestigious academic journals in the world, published by the American Association for the Advancement of Science (AAAS).

 

Professor Shih-Chi Chen

Fig. 1. Printing of complex 3D structures with submicron resolution via FP-TPL. (A to C) Millimeter-scale structure with submicrometer features supported on a U.S. penny on top of a reflective surface. The 2.20 mm × 2.20 mm × 0.25 mm cuboid was printed in 8 min 20s, demonstrating a 3D printing rate of 8.7 mm3/hour. In contrast, point-scanning techniques would require several hours to print this cuboid. (D) A 3D micropillar printed through stacking of 2D layers, demonstrating uniformity of printing that is indistinguishable from that of commercial serial-scanning systems. (E and F) Spiral structures printed through projection of a single layer demonstrating the ability to rapidly print curvilinear structures within single-digit millisecond time scales without any stage motion. (G to J) Overhanging 3D structures printed by stitching multiple 2D projections demonstrating the ability to print depth-resolved features. The bridge structure in (G), with 90° overhang angles, is challenging to print using point-scanning TPL techniques or any other technique owing to its large overhang relative to the size of the smallest feature and the submicron feature resolution.

Fig. 2. Printed nanowires demonstrating nanoscale resolution of FP-TPL. (A) Width (along lateral direction) and (B) height (along axial direction) of suspended nanowires printed under different conditions. Width of lines in the projected DMD pattern was varied from 3 to 6 pixels with a fixed period of 30 pixels. Each pixel (px) maps to 151 nm in the projected image. Labels HP, MP, and LP refer to high (42 nW/px), medium (39 nW/px), and low (35 nW/px) power levels, respectively. All markers of a specific shape represent data points generated at the same power level, and all markers of a specific colour represent the same line width. Printing was performed with a femtosecond laser that had a center wavelength of 800 nm and a nominal pulse width of 35 fs and with a 60 × 1.25 numerical aperture objective lens. (C and D) Scanning electron microscope images of the suspended nanowire features.

FP-TPL based on spatial and temporal focusing.

 

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Media Release

35歲以下創新者港4學者入圍

香港文匯報訊(記者姜嘉軒)《麻省理工科技評論》近日公佈2020年度亞太地區「35歲以下創新者」名單,香港共有4 位學者獲選,為第二多入圍地區,僅次於新加坡。4 名得獎者分別為港大工程學院土木工程系博士後研究員郭浩、機械工程系郭子彥、計算機科學系助理教授羅平,以及中大信息工程系助理教授周博磊。頒獎儀式將於明年2月在新加坡舉辦的EmTech 亞洲會議上進行。

Date: 
Monday, December 9, 2019
Media: 
Wen Wei Po

Prof. Zhou Bolei Listed as One of the 20 Innovators Under 35 Asia Pacific by MIT Technology Review 2020

Date: 
2019-12-09
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Prof. Zhou Bolei, Assistant Professor from the Department of Information Engineering has recently been named as one of the 20 honourees of the regional MIT Technology Review “Innovators under 35”. 

 
Prof. Zhou has been working on understanding deep neural networks and making Artificial Intelligence (AI) models more trustworthy. He received his master’s degree in information engineering at CUHK in 2012, and later obtained his PhD at Massachusetts Institute of Technology (MIT) and returned to CUHK in 2018. MIT Technology Review recognised him for making AI models more understandable and trustworthy to humans. 
 
Unpack AI “black-box” and make AI models more understandable and transparent 
 
AI models such as deep neural networks are increasingly employed to make highly consequential decisions in daily life, including auto piloting, credit assessment before granting a loan, and facial recognition. However, these complex models, purely trained on massive amounts of data, are often treated as “black-box” due to their opaque and complicated internal processing mechanism, which cannot be understood by ordinary people and even professional engineers. This “black-box” property of AI models raises serious safety and reliability concerns that greatly limit their applicability.
 
In view of these issues, Prof. Zhou has made significant contributions in interpreting the network’s representation and output prediction, by developing innovative techniques such as Class Activation Mapping and Network Dissection. These techniques help researchers and practitioners better explain the model prediction and diagnose the mistakes made by the AI models, which can be applied to fields such as autonomous driving, medical image diagnosis, and healthcare. 
 
Recently, his research team has developed interpretation methods to discover the knowledge learned by deep generative networks for image synthesis. It can achieve realistic photo editing for faces and scenes, such as changing the age of a person and improving the lighting condition of a selfie photo. In his research collaboration with MIT-IBM Watson AI Lab, he and his team visualize an AI model’s blind spots, a new tool that reveals what AI models leave out in creating a scene. With a focus on enabling machines to sense and reason about the environment with more interpretable representations, he hopes researchers will pay much more attention to characterizing transparency and interpretability of the models ignored in the machine-learning systems.
 
Prof. Zhou remarked, “I would like to acknowledge the huge amount of support from my former mentors and collaborators at MIT, as well as my current research group at CUHK. I am confident that we will continue leading the frontier for developing interpretable, robust, and safe AI technologies. In particular, this year is the 30th anniversary of our Department of Information Engineering at CUHK, I hope there will be more and more of the younger generation in Hong Kong who will pursue a career in Artificial Intelligence and Information Technology.”
 
About “Innovators Under 35” Asia Pacific
 
“Innovators Under 35” Asia Pacific has been a prestigious regional recognition from MIT Technology Review since 1999. It is a list of technologists and scientists, all under the age of 35, whose work is changing the world. It recognises the development of new technology or the creative application of existing technologies to solve global problems in industries such as biomedicine, computing, communications, energy, advance materials, software, transportation, web and internet. The Asia-Pacific list covers countries and regions in South-east Asia, Australia, New Zealand, Hong Kong and Taiwan.
 

Professor Zhou Bolei

 

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Media Release

Financial Technology Conference

Date: 
2019-11-28
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The Faculty of Engineering of The Chinese University of Hong Kong (CUHK) recently hosted the “2019 CUHK Conference on Financial Technology (FinTech)”, supported by the Centre for Financial Engineering (CFE) and CUHK Business School. The conference titled “When Wall Street Met Main Street – Real vs Virtual Economy” drew close to 500 industry practitioners, professors, researchers, government officials and regulators to explore the trends driving the explosive FinTech development, and future collaboration opportunities.

The forum was officiated at by Prof. Martin WONG, Dean of the Faculty of Engineering and Prof. Michael ZHANG Xiaoquan, Associate Dean for Innovation and Impact of CUHK Business School. Featured speakers including CUHK scholars, representatives from banking, technology, financial regulatory authorities and legal sectors were invited to give their insights on the applications and development of FinTech today. From the forum, Prof. WAI Hoi To, Assistant Professor, Department of Systems Engineering and Engineering Management of CUHK commented on the malicious agent detection in social network. In the midst of the increasingly popular open Application Programming Interface (API), Ms. Frankie TAM, Senior Associate, DLA Piper shared her view on its impact on new developments in the Hong Kong banking sector. Dr. Florian SPIEGL, Co-Founder & COO, FinFabrik pointed out that the new field of blockchain-based technologies and digital assets is emerging fast and starting to have a real impact on the capital markets sector.

Other guest speakers included Prof. CHEW See Meng, Associate Professor of Practice in Finance, Department of Finance, and Associate Director for MBA Programmes of CUHK Business School, Mr. Gilbert LEE, Head of Strategy/Planning and Chief of Staff, Hang Seng Bank Ltd, Mr. Zane MOI, Deputy General Manager and Head of Partner Ecosystem, Amazon Web Services, Mr. Jay CHAN, Solution Consultant, NICE Ltd, Mr. Galen LAW-KUN, Global Crypto Team, PwC, Mr. Daniel CHAN, Consultant, FORMS HK, and Mr. Eric CHOW, Head of Digital Channel & Delivery, Hang Seng Bank Ltd. The speeches covered a wide range of topics, including AI, biometrics, crypto assets, cybersecurity, decentralized finance, FinTech in banking, machine learning, new career opportunities, regulatory technology (RegTech) and tokenization. Other speakers also gave their views during the two panel discussion sessions entitled “The Ingredients of a FinTech Hub” and “FinTech Talents: Demand & Supply”.

Prof. CHEN Nan, Professor, Department of Systems Engineering and Engineering Management, Director of CFE and the Bachelor of Engineering programme in Financial Technology (BEng in FinTech) of CUHK, and Co-Chairman of the Conference’s Programme Committee said, “The applications of FinTech are pervasive in various kinds of sectors including economics, law and banking. An up-to-date understanding of FinTech is particularly important to keep abreast of the changing market trends and professional personnel training. 2019 marks the second anniversary of the BEng in FinTech launched by CUHK, the first ever FinTech undergraduate programme in Hong Kong. With this multi-disciplinary programme, CUHK is indeed spearheading the effort to supply talent to both academia and industry.”

Prof. CHAN Chun Kwong, Professor of Practice in FinTech, Department of Systems Engineering and Engineering Management, and Director of the Master of Science programme in FinTech (MSc FinTech) of CUHK commented, “This is the inauguration year of the MSc FinTech. With the talent in these programmes and the innovative ideas in the market, we see an all-win situation from building a bridge between the university and  industry. The interaction between the university and industry will definitely help to formulate strategies for fostering talent and promoting the development of FinTech education.”

Prof. CHEW Seen Meng noted, “This conference is in the FinTech education series, which is a part of the core agenda of the Hong Kong FinTech Week 2019. The CUHK Business School is partnering with the CFE for the first time on this conference, bringing the ‘Fin’ and the ‘Tech’ together, in order to strengthen the connection between CUHK staff and students and industry practitioners, striving for further collaboration opportunities.”

This article was originally published on CUHK Communications and Public Relations Office website.

Prof. Martin WONG, Dean of Faculty of Engineering, CUHK, delivers a speech as the Guest of Honour.

Prof. Michael ZHANG Xiaoquan, Associate Dean for Innovation and Impact, CUHK Business School, delivers a speech as the Guest of Honour.

A group photo of the Guests of Honour, speakers, sponsors and representatives from the supporting organizations.

The speakers give their views during the panel discussion entitled “The Ingredients of a FinTech Hub”.

The speakers give their views during the panel discussion entitled “FinTech Talents: Demand & Supply”. 

 

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中大研分析系統 阻惡意點擊攔截

網絡上的彈出廣告不單煩厭,且有入侵電腦風險。

中大工程學院研究發現,不良廣告商和黑客會修改超連結、模仿網站內容,誘騙用戶點擊超連結,增加廣告點擊率或讓用戶自動下載惡意程式。團隊開發出瀏覽器分析系統,盼瀏覽器開發者可合作研究,阻截惡意點擊攔截。

 

Date: 
Tuesday, November 26, 2019
Media: 
HKET

中大研分析系統檢測網絡惡意攔截

現時一些意圖不良的第三方廣告商或黑客,會利用惡意JavaScript代碼來攔截瀏覽者的點擊,欺騙用戶訪問不受信任的網頁。

Date: 
Tuesday, November 26, 2019
Media: 
Sing Tao Daily

研發瀏覽器分析系統 中大學者助減網絡安全威脅

平日上網不時有不明廣告或網頁自動彈出,可能已被黑客入侵網頁。中大工程學院研發出瀏覽器分析系統Observer(觀察者),檢視網上的第三方點擊攔截行為,測試其間利用Observer分析了Alexa(全球網站排名計算系統)首25萬個網站,在其中613個受歡迎網站上,成功發現有437個第三方代碼在攔截用戶點擊,其中36%為在線廣告。

Date: 
Tuesday, November 26, 2019
Media: 
AM730

廣告彈出引去可疑網站 中大研系統截惡意程式

網上經常看見有廣告「彈出」,部分原來是由黑客製造的惡意程式,引導用戶至可疑網站。中文大學研發瀏覽器分析系統Observer(「觀察者」),專門針對被第三方操控的網頁,對其作出分析區別,提醒用戶切勿瀏覽,避免發生網絡安全問題。

 

Date: 
Tuesday, November 26, 2019
Media: 
Oriental Daily

中大研瀏覽器分析系統 阻截惡意點擊

網絡上的惡意廣告不單煩厭,且有入侵電腦風險。中大工程學院研究發現,不良廣告商和黑客會修改普通網站上的第三方代碼,誘騙用戶點擊超連結,增加廣告點擊率或讓用戶自動下載惡意程式。

Date: 
Tuesday, November 26, 2019
Media: 
Skypost

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