Name: 
XU Huifu
Title ( post ): 
Professor
Department: 
Systems Engineering and Engineering Management
email: 
hfxu[at]se.cuhk.edu.hk
phone: 
3943 8239
website: 
http://www.se.cuhk.edu.hk/people/academic-staff/prof-xu-huifu/
Avatar: 
Class: 
faculty_member
Chinese Name: 
徐 慧 福
glossary_index: 
X

Two CUHK Engineering Professors Elected IEEE Fellows 2020

Date: 
2020-01-07
Thumbnail: 
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Prof. Guoliang Xing and Prof. Angela Yingjun Zhang from the Department of Information Engineering, Faculty of Engineering at CUHK have been elected Fellows of the prestigious Institute of Electrical and Electronics Engineers (IEEE) in the class of 2020. Prof. Guoliang Xing was elected for his remarkable contributions to “sensor networks and low-power wireless networks”, while Prof. Angela Yingjun Zhang’s was accredited for her research on “resource allocation and optimization in wireless communications.” There are currently 35 IEEE Fellows among 110 professors in the Faculty of Engineering at CUHK.

 
Prof. Guoliang Xing
 
Prof. Guoliang Xing received the PhD degree in Computer Science from Washington University in St. Louis, USA, in 2006. He was an Assistant Professor and then Associate Professor at Michigan State University before joining CUHK. Prof. Xing is well known for his work in Embedded AI, the Internet of Things (IoT), Information Security and Wireless Networks. He is currently leading several large research projects on smart cities and smart health. In the past decade, Prof. Xing has led the development and field deployment of several large-scale systems for volcano and earthquake monitoring, data center thermal and power management, and aquatic robotic sensor networks. Along with the applications, he has published more than 150 scientific papers and received more than 9,000 citations.
 
Prof. Xing has received a number of awards and recognitions, including the Faculty Early Career Development (CAREER) Award from the US National Science Foundation in 2010, the Withrow Distinguished Scholar Award from Michigan State University in 2014, the Best Paper Award from the ACM/IEEE Conference on Information Processing in Sensor Networks (IPSN) in 2013, the Best Paper Award from the IEEE International Conference on Network Protocols (ICNP) in 2010, and the Best Mobile Application award from the Annual International Conference on Mobile Computing and Networking (MobiCom) from 2013 to 2015.
 
Prof. Angela Yingjun Zhang
 
Prof. Angela Yingjun Zhang is a wireless communication expert focusing on resource allocation in wireless communications and the smart power grid. Before joining CUHK in 2015, she received her PhD degree from the Department of Electrical and Electronic Engineering at The Hong Kong University of Science and Technology. Radio resource allocation is a crucial function in 4G and 5G cellular wireless networks. Efficient resource allocation algorithms can achieve orders of magnitude improvement in system spectrum and power efficiency. Radio resource allocation is typically formulated as optimization problems that are parameterised by system data including the network conditions, wireless channel conditions, user behaviours and locations. Prof. Zhang is well recognised for her fundamental contributions in developing monotonic optimization and stochastic optimization mechanisms for resource allocation in Orthogonal Frequency Devision Multiplexing (OFDM), Multiple Input Multiple Output (MIMO), and heterogeneous cellular systems.
 
The profound impact of Prof. Zhang’s work has been recognized by the 2011 IEEE Marconi Price Paper Award in Wireless Communications, 2014 IEEE Communication Society Asia Pacific Board Outstanding Paper Award, and 2013 IEEE SmartgridComm Best Paper Award. As the only winner in Engineering Science, Prof. Zhang received the Hong Kong Young Scientist Award in 2006.
 
About IEEE
 
The IEEE is the world's largest professional organisation dedicated to advancing technological innovation and excellence for the benefit of humanity, with more than 430,000 members in over 160 countries.  IEEE Fellow is the highest grade of membership and is recognised by the technical community as a prestigious honour and an important career achievement.

Prof. Guoliang Xing

Prof. Angela Yingjun Zhang

 

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Media Release

Cheuk Ting Li received the B.Sc. degree in mathematics and B.Eng. degree in information engineering from The Chinese University of Hong Kong in 2012, and the M.S. and Ph.D. degree in electrical engineering from Stanford University in 2014 and 2018 respectively. He was a postdoctoral scholar at the Department of Electrical Engineering and Computer Sciences, University of California, Berkeley. He was awarded the 2016 IEEE Jack Keil Wolf ISIT Student Paper Award. He joined the Department of Information Engineering, the Chinese University of Hong Kong in January 2020.

Name: 
LI Cheuk Ting
Title ( post ): 
Associate Professor
Department: 
Information Engineering
email: 
ctli [at] ie.cuhk.edu.hk
phone: 
3943 5156
website: 
https://www.ie.cuhk.edu.hk/people/ctli.shtml
Avatar: 
Class: 
faculty_member
Chinese Name: 
李卓霆
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Engineering Job Fair 2020 (Suspended)

Organiser: 
Hosted by: Faculty of Engineering, CUHK
Venue
Reading Room 603, Ho SIn Hang Engineering Building, CUHK
Date: 
Wednesday, February 26, 2020
Time
Wednesday, February 26, 2020 to Thursday, February 27, 2020
e_title: 
Engineering Job Fair 2020
Not Available
Allow Regsiter: 

中大周仁杰獲裘槎前瞻科研獎

記者周偉立報道:醫學界目前應用的人體掃描成像技術,例如X 光等,會釋放輻射。中大工程學院生物醫學工程學系助理教授周仁杰研究出無侵害性的光學衍射層析顯微技術,可多次重複進行,適用於長期觀測部分病症,且得出的圖像精細。

Date: 
Friday, December 20, 2019
Media: 
HKCD

中大教授周仁杰獲裘槎前瞻科研大獎

中文大學生物醫學工程學系助理教授周仁杰憑光學衍射層析顯微技術方面的傑出研究成就,獲裘槎基金會頒發「裘槎前瞻科研大獎2019」,並提供500萬港元,支持其開展相關研究。

Date: 
Friday, December 20, 2019
Media: 
Sing Tao Daily

中大周仁傑獲頒「裘槎前瞻科研大獎」

記者楊天智報道:「裘槎前瞻科研大獎2019」頒發,香港中文大學生物醫學工程系助理教授周仁傑憑「光學衍射層析顯微技術」方面的傑出研究成就成為獲獎人之一,並獲500萬元獎金支持開展相關研究。

Date: 
Friday, December 20, 2019
Media: 
Ta Kung Pao

中大學者製「神眼」掃描腦眼不傷身

顯微鏡猶如一道奇妙的門,讓人類能夠走進微觀世界探索。中文大學生物醫學工程學系助理教授周仁杰,憑着光學衍射層析顯微技術的學術成就,榮獲「裘槎前瞻科研大獎2019」,助其開發精確度、安全性遠超X 光的「反射模式層析相位顯微鏡」。

Date: 
Friday, December 20, 2019
Media: 
Wen Wei Po

研無侵害反射模式層析相位顯微鏡 中大教授︰助及早檢測病變

醫學界現行應用的人體掃描成像技術,例如X射線電腦斷層掃描(X-ray CT),使用過程會釋出輻射,不能短時間內多次使用,但將來情況或有改變。

Date: 
Friday, December 20, 2019
Media: 
AM730

中大新顯微技術 像真度高X光1000倍

香港中文大學生物醫學工程學系助理教授周仁杰成功研發「反射模式層析相位顯微鏡」,該項技術可進行活體掃描,演算出三維圖像,像真度比X光高一千倍,且無入侵性,有助研究和及早辨別視覺退化症狀和早老性癡呆症。新儀器售價預計每部約一百萬元,有望五年內完成生產及相關安排,十年內可售予醫院

Date: 
Friday, December 20, 2019
Media: 
Oriental Daily

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