AUT - Conferences Hosted By KEDRI
Conferences Hosted By KEDRI
15th International Conference on Neural Information Processing of the Asia-Pacific Neural Network Assembly, APNNA (ICONIP’ 08), November 25-28, 2008, Auckland, NZ
Technical co-sponsorship: APNNA, INNS, JNNS, ENNS, IEEE CIS
Preceded by the INNS 2008 Symposia on “New Directions in Neural Networks” (INNS-NNN), 24-25 Nov. '08
Objectives: Neuro-Information Processing is an area of science concerned with the development, implementation, realisation and application of computational models that mimic the brain in its main functions of adaptive learning, predictive generalisation, knowledge discovery, creative thinking. Applications span across all disciplines, e.g.: neuroinformatics, brain study, cognitive engineering, bioinformatics, biomedical applications, biometric and security, agriculture, environment, decision support, business and finance, speech-, image- and multimodal information processing, process control, arts and design. The conference will include tutorials (25th Nov. afternoon), plenary and invited talks (26 & 27th Nov), ordinary and specials sessions (25, 26, 27th Nov), poster presentations (25, 26, 27th Nov) and demonstrations of neuro-computing systems (26th Nov), followed by workshops. One Workshop on “Perception and Control of Movement” will be held in Dunedin (in the South Island). Transportation from Auckland to Dunedin must be organised individually. The conference will be preceded by two INNS-NNN 2008 Symposia on “Development and Learning” and “Computational neurogenetic modelling (24 and 25th Nov).
Please visit ICONIP 2008's official website (http://iconip08.kedri.info) for more details.
INNS–NNN Symposia (New directions in Neural Networks)24-25 November 2008, Auckland, NZ, associated with ICONIP 2008 (25-28 November 2008)
"Modelling the Brain and Nervous Systems"
General Chair:John Weng
Program Chair: Nikola Kasabov (nkasabov@aut.ac.nz)
Local Organising Chair: Joyce D'Mello (jdmello@aut.ac.nz)
Technical support Chair: Peter Hwang (phwang@aut.ac.nz)
The symposia will provide a forum for researchers to exchange latest new ideas and present new research advances in the general areas related to computational modelling of the brain and nervous systems, including development and learning in animals and artificial systems/robots, computational neurogenetic modelling, and applications of related techniques.
Please visit INNS–NNN 2008's official website (http://nnn08.kedri.info) for more details.
6th International Conference on Hybrid Intelligent Systems (HIS’06) and 4th Conference on Neuro-Computing and Evolving Intelligence (NCEI’06)
 |  |
13-15 December 2006, AUT Technology Park, Auckland, New Zealand
*** News: Paper submission deadline has been extended to 30 August 2006 ***
*** Author notifications will be send by September 18, 2006 ***
*** Deadline for Submission of Camera-Ready Papers and author registration: September 30, 2006 ***
*** Conference Registration is now closed***
General Chairs:
Nik Kasabov, KEDRI, AUT, New Zealand ( nkasabov@aut.ac.nz)
Mario Köppen, Fraunhofer IPK, Germany (mkoeppen@ieee.org)
Programme Co-Chairs:
Andreas Koenig, University of Kaiserslautern, Germany (Koenig@eit.uni-kl.de)
Ajith Abraham, Chun-Ang University, Korea (ajith.abraham@ieee.org)
Qun Song, KEDRI, AUT, New Zealand (qsong@aut.ac.nz)
Venue: Auckland, the City of Sails. The Auckland region is an antipasto of environments laid out on a huge platter to make one amazing city, boasting three harbours, two mountain ranges, 48 volcanic cones and more than 50 islands. Auckland is by far the largest and most vibrant city of New Zealand.
Objectives: Hybridization of intelligent systems is a promising research field of computational intelligence focusing on synergistic combinations of multiple approaches to develop the next generation of intelligent systems. A fundamental stimulus to the investigations of Hybrid Intelligent Systems (HIS) is the awareness that combined approaches will be necessary to be able to solve hard problems in artificial intelligence. Neural computing, machine learning, fuzzy logic, evolutionary algorithms, agent-based methods, quantum computing, among others, have been established and shown their strength and drawbacks. Applications span across all disciplines of Science, Business, Engineering, Medicine, Health, Environment, Social Sciences. Neuro-Computing (NC) is an area of computer science and engineering concerned with the development, implementation, realisation and application of computational models that mimic the brain in its main functions of adaptive learning, predictive generalisation, and knowledge discovery. Using NC and hybrid system to build intelligent systems that evolve their structure, their functionality and their knowledge representation over time through interaction with the environment, called evolving intelligence (EI) is a major focus of the conference.
The three days event will include tutorials, invited talks, oral presentations, poster presentations and various demonstrations of neuro-computing and hybrid systems for : bioinformatics and biomedical applications, biometric and security, brain study and cognitive engineering, agriculture, environment, decision support, business and finance, speech-, image- and multimodal information processing, process control, arts and design.
Topics include:
|
|
- Prof. Takeshi Yamakawa, Kyushu Institute of Technology
- Prof. Andreas Koenig, University of Kaiserslautern
- Prof. Alessandro Villa, Laboratoire de Neuro-heuristique, Universite de Lausanne Switzerland
- Mario Köppen, Fraunhofer IPK
- Prof. Takeshi Furuhashi, Nagoya University
Submission and Registration: Tutorial and organised session proposals to be sent by email to the co-chairs. Full paper of 4 pages (A4 size) should be submitted through the conference website by 30th August 2006. Authors may use either Word or Tex format. The paper format is IEEE Computer Society Press 8.5'' x 11'' two-column format. Authors instruction can be found at http://www.computer.org/portal/pages/cscps/cps/cps_forms.html.
Up to six additional pages will be permitted for a charge of $100 per page. Final accepted papers are to be submitted by 20 September 2006. Registration fee is US$500 for non-students and US$250 for students.
Publications: Proceedings will be published by IEEE Computer Society Press. Selected and extended papers will be published in several special issues including the Int. Journal of Hybrid Intelligent Systems, Journal of Computational and Theoretical Nanoscience, Int.J. of Neural Systems, Int. J. Comp.-Aided Engineering.
International Programme Committee:
| Abonyi Janos, Hungary Adeli Hojjat, USA Angelov Plamen, UK Apolloni Bruno, Italy Arbib Michael, USA Asano Akira, Japan Attikiouzel Yianni, Australia Bajic Vladimir, South Africa Bang Sung Yang, Korea Benuskova Lubica, NZ Berenji Hamid, USA Boyanov Kiril, Bulgaria Browne Wiliam, UK Cassim Monte, Japan Castillo Oscar, Mexico Chiu David, Canada Cho Sung-Bae, Korea Coelho Leandro, Brazil Coghill George, NZ Corne David, UK de Baets Bernard, Belgium de Carvalho Andre, Brazil de Macedo Mourelle Luiza, Brazil Deb Suash, India Defoin-Platel Michael, NZ Deng Da, NZ Diederich Joachim, Australia Dimitrov Dimiter, USA do Carmo Nicoletti Maria, Brazil Duro Richard, Spain Fedrizzi Mario, Italy Fogel Gary, USA Franke Katrin, Germany Freeman Walter, USA Furuhashi Takeshi, Japan Ganzha Maria, Poland Gedeon Tom, Australia Gelbukh Alexander, Mexico Giles Lee, USA Gomide Fernando, Brazil Grabot Bernard, France Grosan Crina, Romania Grzymala-Busse Jerzy, USA Gulyaev Sergei, NZ Halgamuge Saman, Australia Havukkala Ilkka, NZ Hawemdeh Suliman, USA Hendtlass Tim, Australia Herrera Francisco, Spain Hoffmann Frank, Germany Howell Bill, Canada Igel Christian, Germany Ionita Silviu, Romania Ishibuchi Hisao, Japan Ishida Yoshiteru, Japan Jakubczyc Janina, Poland | Jan van der Zwaag Berend, Netherlands |
Local Organising Chair: Mrs Joyce D’Mello (joyce.dmello@aut.ac.nz; phone: +64 9 921 9504)
Technical Assistance: Peter Hwang (phwang@aut.ac.nz)
The 1st Korean-New Zealand Joint Workshop on Advance of Computational Intelligence Methods and Applications
8th of February, 2006, AUT Technology Park, Auckland, New Zealand
This workshop aims to bring together people from New Zealand and South Korea, and presents an opportunity for researchers and practitioners to share their knowledge on the basic technologies, current research trends, typical and new applications, and to discuss possible collaborations in computational intelligence. In addition, the workshop encourages Masters and Ph.D. students of the two countries to use this workshop as a platform to present their recent work, and discuss their research interests and new ideas on the technique challenges with students and professors from the other country.
In order to encourage in-depth technical discussions, the number of participants of the workshop will be limited to a maximum of 30. In addition to paper presentations, the workshop encourages participants to submit papers in the following areas of interest:
- Evolving Intelligence Methods and Applications
Emphasis is on evolving connectionist system (ECOS) theories, techniques, and their applications. Emphasis is also given on designing and developing new intelligent and adaptive systems in ECOS. - Intelligent Computing on Very Large Databases
Emphasis is on intelligent computing on very large databases, algorithms, and successful applications. Examples of the topics include, but are not limited to, one-pass machine learning computing, incremental learning, fast clustering and classification algorithms, data warehousing and data mining, decision support system, information retrieval over large database, and intelligent search engines. - Intelligent Multimedia Processing and Systems
Emphasis is on intelligent multimedia systems and their techniques, and applications. Examples of the topics include, but are not limited to, artificial intelligence in computer games, multimedia information fusion and retrieval, biometric authentication systems, and other related areas. - Machine Learning For Bioinformatics
The emphasis is on pattern recognition, machine learning, and life sciences with application to bioinformatics, and discussion on the opportunities and challenges of applying classical machine learning and pattern recognition to bioinformatics problems.
Neuro-Computing and Evolving Intelligence 2004 (NCEI’04)
13-15 December 2004, AUT Technology Park, Auckland, New Zealand 3rd Conference on Neuro-Computing and Evolving Intelligence (NCEI’04) dedicated to the memory of John Von Neumann and John Atanasoff NCEI'04 is held in honour of John Von Neumann and John Atanasoff, the founders and pioneers of modern computer science. The conference is organized and sponsored by the Knowledge Engineering and Discovery Research Institute (KEDRI), Auckland University of Technology, the Foundation for Research Science and Technology (FRST).
Conference Chair: Prof Nik Kasabov, Director of KEDRI
Programme Chair: Dr Zeke S. H. Chan, KEDRI
Objective: Neuro-Computing (NC) is an area of computer science and engineering concerned with the development, implementation, realisation and application of computational models that mimic the brain in its main functions of adaptive learning, predictive generalisation, and knowledge discovery. Applications span across all disciplines of Science, Business, Engineering, Medicine, Health, Environment, Social Sciences.
The emphasis of the Conference will be on the methods and systems that enable the creation of evolving intelligence (EI), i.e. information systems that develop, unfold and evolve their structure and functionality over time through interaction with the environment. They evolve their “intelligence” through learning and interaction.
The three days event will include oral presentations, poster presentations and various demonstrations of neurocomputing systems for bioinformatics and biomedical applications; brain study and cognitive engineering, agriculture, environment, decision support, speech recognition and language processing, image and video processing, multi-modal information processing, process control. NeuCom2004, a comprehensive connectionist-based knowledge engineering and discovery environment, developed as part of a NERF grant, will be released for educational and commercial applications.
Venue: Auckland is regularly voted one of the best lifestyle cities in the world. Your on-the-water experience in the City of Sails could be as thrilling as a race on board a grand prix racing yacht, or as laid-back as a ferry cruise to one of the dozen idyllic islands. Built on an isthmus of 48 volcanoes, Auckland's fertile valleys and islands are home to award-winning wineries. Family attractions abound and the city has plenty of adrenaline for adventure lovers.