Big Data Robust Intelligence Better Life

The Chinese University of Hong Kong
Department of Computer Science and Engineering

Venue
Rm 833, Ho Sin Hang Engineering Building, CUHK
Speaker
Prof. Jiebo Luo
Date: 
Monday, December 22, 2014
Time
Monday, December 22, 2014 to 12:00
e_title: 
Big Data Robust Intelligence Better Life
Not Available
Allow Regsiter: 

Big Data Research: Methods, Systems, and Applications

The Chinese University of Hong Kong
Department of Computer Science and Engineering

Seminar

Title:Big Data Research: Methods, Systems, and Applications
Date:December 17, 2014 (Wednesday)
Time:3:30 p.m. - 4:30 p.m.
Venue:Room 121, 1/F, Ho Sin-hang Engineering Building, CUHK
Speaker:Professor George Karypis
Department of Computer Science & Engineering
University of Minnesota

 

 

ABSTRACT:

We are in the era of "Big Data", which is loosely defined as the application of data driven approaches to solve problems arising in a wide-range of domains in science, engineering, government, and business. Big Data holds the promise of allowing us to tackle problems at a scale, complexity, and fidelity that was previously impossible, enables us to achieve a deep understanding about the world around us, and revolutionize every aspect of our daily life.

In this talk, I present an overview of some recent "Big Data" work in my laboratory that spans various aspects of "Big Data" related research including development of new data analysis algorithms, runtime systems for efficient processing of large datasets, and applications of data analysis methods to emerging "Big Data" areas. On the algorithms side, the talk will focus on methods for building predictive model for collaborative-filtering based recommender systems, on methods for analyzing dynamic relational networks towards finding patterns of relational co-evolution, and on methods for analyzing multivariate time series in order to understand how users' behaviors changes over time. On the systems side, the talk will focus on our work for developing runtime systems to allow the automated out-of-core execution of distributed memory message-passing programs that provides a framework for processing very large dataset on moderate size clusters and still achieve high-levels of computational performance. Finally, on the application side, the talk will present our work on employing "Big Data" approaches to analyze datasets obtained from spontaneous adverse drug event reporting systems and course/learning management systems.

 

BIOGRAPHY:

George Karypis is a professor at the Department of Computer Science & Engineering at the University of Minnesota, Twin Cities. His research interests spans the areas of data mining, high performance computing, information retrieval, collaborative filtering, bioinformatics, cheminformatics ,and scientific computing. His research has resulted in the development of software libraries for serial and parallel graph partitioning (METIS and ParMETIS), hypergraph partitioning (hMETIS), for parallel Cholesky factorization (PSPASES), for collaborative filtering-based recommendation algorithms (SUGGEST), clustering high dimensional datasets (CLUTO), finding frequent patterns in diverse datasets (PAFI), and for protein secondary structure prediction (YASSPP). He has coauthored over 250 papers on these topics and two books ("Introduction to Protein Structure Prediction: Methods and Algorithms" (Wiley, 2010) and "Introduction to Parallel Computing" (Publ. Addison Wesley, 2003, 2nd edition)). In addition, he is serving on the program committees of many conferences and workshops on these topics, and on the editorial boards of the IEEE Transactions on Knowledge and Data Engineering, ACM Transactions on Knowledge Discovery from Data, Data Mining and Knowledge Discovery, Social Network Analysis and Data Mining Journal, International Journal of Data Mining and Bioinformatics, the journal on Current Proteomics, Advances in Bioinformatics, and Biomedicine and Biotechnology.

 

Enquiries: Miss Evelyn Lee at tel 3943 8444

For more information, please refer to http://www.cse.cuhk.edu.hk/seminar.

 

**** ALL ARE WELCOME ****

Organiser: 
Hosted by: Department of Engineering, CUHK
Venue
Room 121, 1/F, Ho Sin-hang Engineering Building, CUHK
Speaker
Professor George Karypis, Department of Computer Science & Engineering, University of Minnesota
Date: 
Wednesday, December 17, 2014
Time
Wednesday, December 17, 2014 to 16:30
e_title: 
Big Data Research: Methods, Systems, and Applications
Not Available

中大生碳纖維 研無人駕駛直升機 具抗彎曲能力跟教授做研究

工程學一向予人實務的感覺,中文大學工程學院更開設「本科生暑期研究習作計畫」,讓有興趣從事研究及擬於本科畢業後修讀研究院課程的學生,在教授的領導下進行專題研究習作。機械與自動化工程碩士一年級生葉俊華是其中一名參與計畫的學生,兩年前研發無人駕駛直升機,雖然經歷過無數晚的通宵,但成功利用碳纖維和蜂巢板,增加機翼的抗彎曲能力。記者 曾愛芳

Date: 
Thursday, December 4, 2014
Media: 
Sing Tao Daily

黑客冒App開發者 盜個人資料

在Facebook上,用家玩Candy Crush等遊戲前,須先授權應用程式(App)開發者,但原來這可以是黑客設下的陷阱。

Date: 
Wednesday, December 3, 2014
Media: 
Hong Kong Economic Times

CUHK Genetic Engineering Team Won Gold Award in Boston

Date: 
2014-12-02
Thumbnail: 
Body: 

A genetic engineering team formed by 11 undergraduate students of science and engineering has won a gold medal at the iGEM (international Genetic Engineered Machine) 2014 Giant Jamboree held in Boston, USA. The team successfully modified the genome of a nitrogen-fixing bacteria, which can potentially solve many environmental problems.

The winning project of the CUHK team was named ABCDE (AzotoBacter vinelandii Cluster-transformable & Deoxygenated protein Expression system). Azotobacter vinelandii is a bacterium that naturally exists in soil. By mutating the genome of it, CUHK iGEM team has successfully developed an intracellular anaerobic protein expression system, in which different oxygen sensitive proteins or enzymes will be able to function. By adding remodeled nitrogenase and hydrogenase, the bacteria can covert carbon dioxide into methane and other carbon compounds in a natural aerobic environment. As methane can be used as a biofuel, the conversion will help to solve both environmental and energy problems. By adding different enzymes, the protein expression system has many other potential applications, such as manufacturing a biobattery or a nanomagnet. Please visit the website of the School of Life Sciences for details: http://www.sls.cuhk.edu.hk/index.php/undergraduate-programmes/msbbs-arti.... (This project is partly supported by the Teaching Development Grant 2012-15 of the University Grants Committee).

Prof. Chan King-ming, one of the instructors of the team and associate professor of the School of Life Sciences, CUHK remarked, ‘The creativity of the students is admirable. Previous studies in genetic engineering mainly focused on Escherichia coli and yeast, while our students pioneered the use and development of nitrogen-fixing bacteria, which can bring new opportunities for biological engineering. This new expression system has a high potential for various applications, such as the conversion of carbon dioxide into methane, bringing new hope in the fight against global warming.’

About iGEM Competition

This year, the iGEM foundation celebrated its 10th anniversary and invited all participants to compete in the Giant Jamboree held at the Hynes Convention Centre in Boston. There were a total of 243 teams with close to 3,000 people participating in this Championship competition from around the world. Among them, 79 teams achieved gold medal standard in the competition.

Established by the Massachusetts Institute of Technology in 2004, iGEM is an annual premier synthetic biology competition worldwide to foster students' learning in synthetic biology, promote collaboration among students and nurture biology talents. Participating teams are required to specify, design, build, and test simple biological systems made from standard, interchangeable biological parts. The accomplishments of these student teams often lead to important advances or provide solutions to tackle problems in medicine, food and nutrition, energy, and the environment.

 

Filter: Dept: 
Faculty

Computer Engineering Students Won the Champion in ICCAD 2014

Date: 
2014-12-01
Thumbnail: 
Body: 

Congratulations to Xing Wei, Yi Diao, and Tak-Kei Lam (supervised by Prof. Yu-Laing David Wu) for winning the championship of international ICCAD contest 2014 in the contest problem “Simultaneous CNF Encoder Optimization with SAT solver Setting Selection”.

The team has attempted to solve the problem with non-conventional “DNA-tracing” approach, i.e. mixing certain advanced logic synthesis techniques together with the internal knowledge of the known multiplier’s structural property (“structural signature”) analysis. The same team has won in the contest for consecutive three years since 2012, with a record highest accumulated winning gaps atop the 2nd place teams.

The problem was posted by a leading EDA company Cadence to challenge global academia institutes, with cash prize sponsored by the Ministry of Education (MOE) of Taiwan. The annual CAD Contest in Taiwan, sponsored by the Ministry of Education (MOE), has been held for 14 consecutive years and has successfully boosted the EDA research momentum in Taiwan. It has been internationalized under the joint sponsorship of IEEE CEDA and Taiwan MOE since 2012. In the first two years of this new contest, 56 teams from 7 regions and 87 teams from 9 regions have been attracted to join respective 2012 and 2013 CAD contest. Many results of top teams have been further enhanced and converted to top international conference and/or journal papers.

 

Filter: Dept: 
CSE
Name: 
XU Jianbin
Title ( post ): 
Associate Dean
Department: 
EE
website: 
http://www.ee.cuhk.edu.hk/en-gb/people/academic-staff/professors/98-prof-jianbin-xu
Avatar: 
Class: 
deanery
Subtitle ( post ): 
Research
Chinese Name: 
許建斌
glossary_index: 
X

Two Student Teams Shone at HKIE Joint Institutes Competition 2014

Date: 
2014-06-20
Thumbnail: 
Body: 
Two students teams from the Faulty of Engineering swept the champion, 1st runner-up and the "My Favourite Project" Award. YUNG, Man Lee (CS), Chan Chun Kit (CS), Keung Nga Fong (MAE) and Chan Chuen Wai (MAE) won the champion of the HKIE Joint Institutes Competition 2014. The project named "Visually-impaired Positioning System" is a new guiding system to facilitate the visually-impaired to go out in a more safety way and explore a new place independently with a special designed guide stick.

VPS can provide a real-time guide to the visually-impaired on their way to their destination and exploring new places. At each turning point of the guiding tiles, VPS can give the direction to destination. By obtaining an actual position of the user, VPS can also act as an emergency contact device to ensure the safety of the user.

 

Filter: Dept: 
CSE
MAE

Alumni Association’s Annual General Meeting and Career Seminar

Date: 
2014-07-02
Thumbnail: 
Body: 

The Engineering Faculty Alumni Association’s Annual General Meeting was held on the university campus on 28 June 2014 and attracted 70 attendees with support of the engineering student society. The alumni association was set up a year ago and made up of graduates from five departments. Apart from the yearly general meeting, it connects alumni faculty-wide and promotes exchange with engineering students and teachers through a wide variety of alumni-initiated projects. It supports.

 

Filter: Dept: 
Faculty

CUHK Genetic Engineering Team Won Gold Award in Boston

Date: 
2014-11-19
Thumbnail: 
Body: 

A genetic engineering team formed by 11 undergraduate students of science and engineering at The Chinese University of Hong Kong (CUHK) has won a gold medal at the iGEM  (international Genetic Engineered Machine) 2014 Giant Jamboree held in Boston, USA.  The team successfully modified the genome of a nitrogen-fixing bacteria, which can potentially solve many environmental problems. 

The winning project of the CUHK team was named ABCDE (AzotoBacter vinelandii Cluster-transformable & Deoxygenated protein Expression system).  Azotobacter vinelandii is a bacterium that naturally exists in soil.  By mutating the genome of it, CUHK iGEM team has successfully developed an intracellular anaerobic protein expression system, in which different oxygen sensitive proteins or enzymes will be able to function. By adding remodeled nitrogenase and hydrogenase, the bacteria can covert carbon dioxide into methane and other carbon compounds in a natural aerobic environment. As methane can be used as a biofuel, the conversion will help to solve both environmental and energy problems. By adding different enzymes, the protein expression system has many other potential applications, such as manufacturing a biobattery or a nanomagnet.  Please visit the website of the School of Life Sciences for details: http://www.sls.cuhk.edu.hk/index.php/undergraduate-programmes/msbbs-article-2/dream-program-2/igem-2014. (This project is partly supported by the Teaching Development Grant 2012-15 of the University Grants Committee). 

Prof. Chan King-ming, one of the instructors of the team and associate professor of the School of Life Sciences, CUHK remarked, ‘The creativity of the students is admirable.  Previous studies in genetic engineering mainly focused on Escherichia coli and yeast, while our students pioneered the use and development of nitrogen-fixing bacteria, which can bring new opportunities for biological engineering.  This new expression system has a high potential for various applications, such as the conversion of carbon dioxide into methane, bringing new hope in the fight against global warming.’ 

About iGEM Competition

This year, the iGEM foundation celebrated its 10th anniversary and invited all participants to compete in the Giant Jamboree held at the Hynes Convention Centre in Boston.  There were a total of 243 teams with close to 3,000 people participating in this Championship competition from around the world. Among them, 79 teams achieved gold medal standard in the competition. 

Established by the Massachusetts Institute of Technology in 2004, iGEM is an annual premier synthetic biology competition worldwide to foster students' learning in synthetic biology, promote collaboration among students and nurture biology talents.  Participating teams are required to specify, design, build, and test simple biological systems made from standard, interchangeable biological parts.  The accomplishments of these student teams often lead to important advances or provide solutions to tackle problems in medicine, food and nutrition, energy, and the environment.  For more information, please visit http://www.igem.org.

The CUHK genetic engineering team in the iGEM 2014 Giant Jamboree in Boston, USA.

 

The genetic engineering team formed by undergraduate students of science and engineering at CUHK.

 

 

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