MCMC Lecture Series 03/2010
Wireless Strategies
Thursday, 30th September 2010
9am - 11.45am
Auditorium, MCMC Cyberjaya
Free admission
Saturday, September 25, 2010
Tuesday, August 3, 2010
MSC Malaysia 3rd R&D Series & IP Connect
You are cordially invited to attend the 3rd MSC Malaysia R&D Series and IP Connect jointly organized by Multimedia Development Corporation (MDeC) and Monash University (Sunway Campus).
Theme: Computer System & Mobile Security
Date: Thursday, 5 August 2010
Time: 9:00 a.m. - 5:00 p.m.
Venue: Plenary Theatre, Monash University (Sunway Campus)
Registration is on first-come-first-serve basis.
You may register by sending your name, designation, company name, phone and email to clic@mdec.com.my
For more information you can also call MSC Malaysia Client Contact Centre (CliC) at 1-800-88-8338. Please dial 0 for assistance.
With kind regards,
Simon.
Saturday, July 31, 2010
Public Lecture by Prof. Feng Da Hsuan, National Cheng Kung University
亞洲學術，學識與人才的發展：過去，現在，將來
The Development of Asian Academics, Intellects and Human Resources: Past, Present and Future
馮達旋 Da Hsuan Feng
國立成功大學資深執行副校長
Senior Executive Vice President
National Cheng Kung University
主辦單位 Organizers﹕
Universiti Tunku Abdul Rahman (UTAR) 拉曼大学
and
KL and Selangor Chinese Assembly Hall 隆雪中华大会堂
地點 Venue﹕
馬來西亞 吉隆玻中华大会堂
Chinese Assembly Hall, Kuala Lumpur, Malaysia
時間與日期 Date and Time ﹕
7:30pm 8/8/2010
摘要
無可否認，有史以來，學術，
Abstract
Undoubtedly, throughout history, the driving force to move forward and improve society is the amalgamation of academics, intellects and human resources. As it is of fundamental importance, it is now a much talked about theme in the 21st century fast growing Asia that there should be ubiquitous and deepening development of academics and intellects as well as proactive search and recruitment of best minds. To understand Asia, especially pertaining to Chinese East Asia, history could be out guiding principle. Today’s Asia is the amalgamation of the convoluted interactions and conflict between East and West. This amalgamation can give us some information about 21st century Asia. This talk will discuss some personal views about these issues.
馮達旋博士
國立成功大學資深執行副校長
馮達旋出生於印度的新德里。母親是音樂家，父親是新聞記者。19
從1998年至2000年，馮是SAIC公司，
馮亦獲得了台灣中原大學的友誼獎，
馮認為他作為教師最首要的成就是帶出了七個博士，六個博士後，
馮的科學文章超過180篇, 編輯達20多本書。馮於1996年榮獲美國物理學會會士，
馮於2007年加入國立成功大學為資深執行副校長.
Thursday, July 22, 2010
CMS Seminar: Geometric Modelling by Uniform B-splines: A Prelude to NURBS
You are cordially invited to the following talk organized by the Centre for
Mathematical Sciences (CMS):
Title: Geometric Modelling by Uniform B-splines: A Prelude to NURBS
Speaker: Prof. Lee Seng Luan
Date: 26 JULY 2010 (MONDAY)
Time: 2.00pm – 3.00pm
Venue: DK1, Faculty of Engineering and Science
Universiti Tunku Abdul Rahman
Jalan Genting Kelang, 53300 Kuala Lumpur
The details of the talk is herewith attached for your information.
Hope to see you
soon.
Thanks and Best Regards,
Kheng
----
Dr. Goh Yong Kheng
Friday, July 16, 2010
CCIS Seminar: Topics in CGIV by Prof Lee Byunk Gook, Dongseo Univesity, Korea
You are cordially invited to attend the following talks by Prof Lee Byunk Gook, Professor from Division of Information Engineering, Dongseo University, Busan, South Korea:
Date: 22 July 2010
Time: 3pm - 4pm
Venue: SE105, UTAR KL Campus, Setapak, Kuala Lumpur.
Title: Topics in Computer Graphics, Image Processing and Computer Vision
Speaker: Prof Lee Byung Gook, Dongseo University, South Korea
Date: 23 July 2010
Time: 11am - 12pm
Venue: IDK5, UTAR Kampar Campus, Perak.
Title: Topics in Computer Graphics, Image Processing and Computer Vision
Speaker: Prof Lee Byung Gook, Dongseo University, South KoreaDate: 22 July 2010
Time: 3pm - 4pm
Venue: SE105, UTAR KL Campus, Setapak, Kuala Lumpur.
Title: Topics in Computer Graphics, Image Processing and Computer Vision
Speaker: Prof Lee Byung Gook, Dongseo University, South Korea
Date: 23 July 2010
Time: 11am - 12pm
Venue: IDK5, UTAR Kampar Campus, Perak.
Tuesday, July 13, 2010
Wednesday, June 16, 2010
Talk on "Next Generation Biometric Systems" by Anil K. Jain
Next Generation Biometric Systems
Anil K. Jain
Michigan State University
http://biometrics.cse.msu.edu
Date: 22 June, 2010
Time: 10.00am-11.15am
Venue: DKG31 Lecture Hall, School of Computer Sciences, USM
ABSTRACT
Prevailing methods of human identification rely mainly on credentials (identification documents and passwords/PIN). However, these methods are not able to meet the growing demands for stringent security in heterogeneous applications like identity management, international travel, government welfare programs, and access control. As a result, numerous person identification applications are adopting biometric technology that automatically recognizes people based on their anatomical or behavioural characteristics. Unlike credentials, biometric traits (e.g., fingerprint, face, and iris) cannot be lost, stolen, and easily forged; they are also supposed to be persistent and unique. The use of biometrics is not new; for over one hundred years, law enforcement and forensic agencies have successfully utilized fingerprints to apprehend criminals or identify victims. But, as biometric technology permeates our society, it faces new challenges. One such challenge is the need to design identification systems for ultra large scale civilian applications such as the Government of India's planned Unique ID project, which is projected to cover a population of over one billion citizens. The design and suitability of biometrics technology for person identification depends on the application requirements with respect to recognition accuracy, throughput, user acceptance, system security, robustness, and return on investment. Therefore, the next generation biometrics technology must overcome many research challenges such as the ability to deal with poor quality biometric data, interoperability, user privacy, system security, and information fusion. This talk will present our ongoing research work on latent fingerprint matching, models for facial aging, template protection, extraction and matching of soft biometric attributes, biometrics of twins, and matching sketches to the corresponding facial images in support of next generation biometrics systems.
BRIEF BIODATA
Anil K. Jain is a University Distinguished Professor in the Departments of Computer Science & Engineering, and Electrical & Computer Engineering at Michigan State University. He received a B.Tech. from IIT, Kanpur (1969) and Ph.D. from Ohio State University (1973). His research interests include pattern recognition, computer vision and biometric recognition. His articles on biometrics have appeared in Scientific American, Nature, IEEE Spectrum, Comm. ACM, IEEE Computer1,2, Proc. IEEE1,2, Encarta, Scholarpedia, and MIT Technology Review.
He has received a number of awards, including Guggenheim fellowship, Humboldt Research award, Fulbright fellowship, IEEE Computer Society Technical Achievement award (2003), W. Wallace McDowell award (2007), IAPR King-Sun Fu Prize (2008), and ICDM 2008 Research Contribution Award for contributions to pattern recognition and biometrics. He also received the best paper awards from the IEEE Trans. Neural Networks (1996) and the Pattern Recognition journal (1987, 1991, 2005). He served as the Editor-in-Chief of the IEEE Trans. Pattern Analysis and Machine Intelligence (1991-1994). He is a Fellow of the ACM, IEEE, AAAS, IAPR and SPIE.
Holder of six patents in the area of fingerprints (transferred to IBM in 1999), he is the author of several books: Handbook of Biometrics (2007), Handbook of Multibiometrics (2006), Handbook of Face Recognition (2005), Handbook of Fingerprint Recognition (2003) (received the PSP award from the Association of American Publishers), Markov Random Fields: Theory and Applications (1993), and Algorithms For Clustering Data (1988). ISI has designated him as a highly cited researcher (his h-index is 86). According to CiteSeer, his book, Algorithms for Clustering Data is ranked # 91 in the Most Cited Articles in Computer Science (over all times) and his paper "Data Clustering: A Review" (ACM Computing Surveys, 1999) is consistently ranked in the Top 10 Most Popular Magazine and Computing Survey Articles Downloaded.
He was a member of The National Academies committees on Whither Biometrics and Improvised Explosive Devices (IED) and a member of the Defense Science Board (2008-2010).
ORGANISED BY:
Pusat Pengajian Sains Komputer, USM
Pusat Pengajian Kejutereraan Elektrik & Elektronik, USM
Pelantar Penyelidikan Teknologi Maklumat & Komunikasi, USM
Participants are encouraged to send an email of confirmation of attendance to:
Mr Jeffiz Ezuer Shafii, email: jeffiz@notes.usm.my
Anil K. Jain
Michigan State University
http://biometrics.cse.msu.edu
Date: 22 June, 2010
Time: 10.00am-11.15am
Venue: DKG31 Lecture Hall, School of Computer Sciences, USM
ABSTRACT
Prevailing methods of human identification rely mainly on credentials (identification documents and passwords/PIN). However, these methods are not able to meet the growing demands for stringent security in heterogeneous applications like identity management, international travel, government welfare programs, and access control. As a result, numerous person identification applications are adopting biometric technology that automatically recognizes people based on their anatomical or behavioural characteristics. Unlike credentials, biometric traits (e.g., fingerprint, face, and iris) cannot be lost, stolen, and easily forged; they are also supposed to be persistent and unique. The use of biometrics is not new; for over one hundred years, law enforcement and forensic agencies have successfully utilized fingerprints to apprehend criminals or identify victims. But, as biometric technology permeates our society, it faces new challenges. One such challenge is the need to design identification systems for ultra large scale civilian applications such as the Government of India's planned Unique ID project, which is projected to cover a population of over one billion citizens. The design and suitability of biometrics technology for person identification depends on the application requirements with respect to recognition accuracy, throughput, user acceptance, system security, robustness, and return on investment. Therefore, the next generation biometrics technology must overcome many research challenges such as the ability to deal with poor quality biometric data, interoperability, user privacy, system security, and information fusion. This talk will present our ongoing research work on latent fingerprint matching, models for facial aging, template protection, extraction and matching of soft biometric attributes, biometrics of twins, and matching sketches to the corresponding facial images in support of next generation biometrics systems.
BRIEF BIODATA
Anil K. Jain is a University Distinguished Professor in the Departments of Computer Science & Engineering, and Electrical & Computer Engineering at Michigan State University. He received a B.Tech. from IIT, Kanpur (1969) and Ph.D. from Ohio State University (1973). His research interests include pattern recognition, computer vision and biometric recognition. His articles on biometrics have appeared in Scientific American, Nature, IEEE Spectrum, Comm. ACM, IEEE Computer1,2, Proc. IEEE1,2, Encarta, Scholarpedia, and MIT Technology Review.
He has received a number of awards, including Guggenheim fellowship, Humboldt Research award, Fulbright fellowship, IEEE Computer Society Technical Achievement award (2003), W. Wallace McDowell award (2007), IAPR King-Sun Fu Prize (2008), and ICDM 2008 Research Contribution Award for contributions to pattern recognition and biometrics. He also received the best paper awards from the IEEE Trans. Neural Networks (1996) and the Pattern Recognition journal (1987, 1991, 2005). He served as the Editor-in-Chief of the IEEE Trans. Pattern Analysis and Machine Intelligence (1991-1994). He is a Fellow of the ACM, IEEE, AAAS, IAPR and SPIE.
Holder of six patents in the area of fingerprints (transferred to IBM in 1999), he is the author of several books: Handbook of Biometrics (2007), Handbook of Multibiometrics (2006), Handbook of Face Recognition (2005), Handbook of Fingerprint Recognition (2003) (received the PSP award from the Association of American Publishers), Markov Random Fields: Theory and Applications (1993), and Algorithms For Clustering Data (1988). ISI has designated him as a highly cited researcher (his h-index is 86). According to CiteSeer, his book, Algorithms for Clustering Data is ranked # 91 in the Most Cited Articles in Computer Science (over all times) and his paper "Data Clustering: A Review" (ACM Computing Surveys, 1999) is consistently ranked in the Top 10 Most Popular Magazine and Computing Survey Articles Downloaded.
He was a member of The National Academies committees on Whither Biometrics and Improvised Explosive Devices (IED) and a member of the Defense Science Board (2008-2010).
ORGANISED BY:
Pusat Pengajian Sains Komputer, USM
Pusat Pengajian Kejutereraan Elektrik & Elektronik, USM
Pelantar Penyelidikan Teknologi Maklumat & Komunikasi, USM
Participants are encouraged to send an email of confirmation of attendance to:
Mr Jeffiz Ezuer Shafii, email: jeffiz@notes.usm.my
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