kedri hits a record number of phd students in 2013 · bioinformatics and many other disciplines....
TRANSCRIPT
KEDRI (The Knowledge Engineering & Discovery Research Institute), is a flagship research institute of AUT, established in 2002 and led by Prof. Nikola Kasabov since its inception. The institute develops novel information methods and systems for data mining, neurocomputing, knowledge engineering and intelligent information processing with applications spanning across decision support, neuroinformatics, bioinformatics and many other disciplines.
With 12 new PhD students joining this year, KEDRI will have in 2013, a record number of 22 PhD students. The new students are: Nathan Scott (VC Scholarship Award), Elisa Capecci (from Italy, KEDRI partial scholarship), Maryam Gholami (from Iran, KEDRI partial scholarship), Reggio Hartono (from Indonesia, MFAT’s NZ-ASEAN Scholars award), Fahad Alvi (from Pakistan), Philip Carvil (from Cambridge, UK), Enrique Perez (from Mexico), Jorge Pires (from Brazil), Maria Neicu (from Romania), Nelson Chen and James Hu (scholarships from China Academy of Sciences), Maggie Buxton, from New Zealand. Four KEDRI PhD students – Linda Liang, Nuttapod Nuntalid, Kshitij Dhoble and Boris Bacic, graduated in 2013. Other PhD students at KEDRI: Muhaini Othman and Norhanifah Murli (Malaysian
government scholarships), Shoba Tegginmath, Tsung Chun Tsai, Vivienne Breen, Paul Davidson (UK, London), are progressing. Yulia Turkova is a Masters student who has plans to do her PhD studies at KEDRI. All students are supervised or co-supervised by Prof. Kasabov (one of very few Fellows in NZ of both IEEE and RSNZ, with a top international standing in his area) in collaboration with Dr Russel Pears, Dr. Dave Parry, Prof. Stephen MacDonell, Prof. Feigin and Dr Rita Krishnamurthi (NISAN, FHES), Prof. Gulyaev (Institute for Radioastronomy), Prof. Charles Walker (CoLab), Prof. Hou (Chinese Academy of Sciences), Prof. Indivery (ETH and Uni Zurich, Switzerland), Prof. Caccamo (Italy) and other experts in the field from NZ and overseas.
PhD students coming from 13
nationalities, are involved in
international projects that makes KEDRI
unique, with international,
interdisciplinary and inclusive
involvement. KEDRi still has its doors
open for new PhD students to study in a
rich research environment. Over the
years, on an average, we see 3 PhD
students receiving their doctoral
degrees at
KEDRI.
Increasing the
number and
quality of PhD
students is one
of the strategic
goals of AUT for
the next decade
or so. And
KEDRI is leading
the way! KEDRI Members
KEDRI HITS A RECORD NUMBER OF PHD STUDENTS IN 2013
I N S I D E
T H I S I S S U E :
International
Visitors
2
Visiting Stu-
dents
2
KEDRI Semi-
nars
3
Launching of
KEDRI Neu-
cube Project
3
Honors and
Awards
5
Projects 6
Publications 8
Knowledge engineering & discovery
Research institute N E W S L E T T E R 2 0 1 3
P A G E 2
Mr. Xie Chengsuo
and Prof. Nikola
Kasabov
Visiting Students
International Visitors Visit of Xie Chengsuo , (First
Secretary, Affairs of Science and
Technology, Embassy of the
People's Republic of China in New
Zealand) to KEDRI on 28th June
2013.
Prof. Jie Yang, from the Institute
of Image Processing and Pattern
Recognition School of Electronics
and Information Shanghai
Jiaotong University visited KEDRI
from 14th Nov – 17th Nov 2013 in
connection with the Tripartite project.
University of Trento, Italy, visited KEDRI from April to August 2013.
Levsa Ivars, student from University of Trento, Italy, visited KEDRI from October to November 2013.
Enmei Tu, Shanghai Jiaotong University, China visited KEDRI from November 2013 – January 2014.
Nelson Chen and James Hu, PhD students from the Chinese Academy of Sciences visited KEDRI for four months starting 4th Feb 2013. Their visit was in connection with the joint project the two institutes are involved in.
Diana Da Rugna, student from
Complex Systems and Intelligence Science, Institute of Automation, Chinese Academy of Sciences visited KEDRI from 4th - 20th Feb 2013.
Prof. Zeng-Guang Hou from the State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, China, visited KEDRI from 31st May 2013 – 15th June 2013. Prof. Hou’s visit to KEDRI was in connection with the progress of the joint project the two institutes are involved in.
Associate Professor Yan Yan from the Key Laboratory of
K N O W L E D G E E N G I N E E R I N G & D I S C O V E R Y
R E S E A R C H I N S T I T U T E
Nelson and
James with
Prof.
Kasabov
Mr. Xie Chengsuo and Prof. Nikola Kasabov with the KEDRI team
Prof. Hou and Prof. Kasabov with the KEDRI team
Levsa Ivars from
University of Trento
Enmei Tu from
Shanghai Jiaotong
University
KEDRI Seminars P A G E 3 2 0 1 3
Prof. Zeng-Guang Hou, State Key Laboratory of
Management and Control for Complex Systems,
Institute of Automation, Chinese Academy of Sciences,
Beijing, gave a lecture on
‘Integration of Prediction and
Rehabilitation for the Stroke, and
Implementation with Software and
Hardware System’ on Thursday 13th
June 2013; 1 p.m. - 2 p.m. in
WY315. At the Open Lecture, Prof.
Kasabov presented him with the
KEDRI Distinguished Visiting
Researcher award.
Prof. Nikola Kasabov gave a seminar
on 'Evolving spiking neural networks for spatio-temporal data’ on 9th May 2013 at 1 p.m. in WY315.
art and design; communication; sport; medical and clinical practice. Exemplar applications are: brain-computer interfaces; neuro-rehabilitation; robotics; emotional computing; decision making; human- computer and human-to-human com-munication. In its interdisciplinary content, this is the world-first and a long-term project, involving KEDRI and other groups from AUT (NISAN, SCMS) in collaboration with Chinese Academy of Scienc-es and several European partners. It also relates to a new special topic paper 408214 offered by the SCMS this semester. The team is led by Prof.
Nik Kasabov. Both the project and the paper are open for new participants to join with their specific research topics. The seminar included presen-tations and demonstrations by the team followed by open discussions.
Machine learning, modelling and understanding of brain data with and applications across disci-plines: Date & Time: Thursday, 28th Feb. 2013 at 1 p.m., Venue: WY315
The KEDRI new project, named NeuCube, is about developing new information methods and technolo-gies for brain data analysis, modelling and under-standing, such as EEG, fMRI, MEG, genetic and other various spatio-temporal brain data, with applica-tions across disciplines, including: information and computer sciences; engineering; environmental and health sciences; cognitive science; neuroeconomics;
Prof. Nikola presenting the Knowledge Engineering & Discovery Research Institute (KEDRI)Distinguished Visiting Researcher award to Prof. Hou
Launching of KEDRI Neucube Project
NeuCube Project Launch
P A G E 4
Prof. Kasabov and
Prof. Vellasco with
some of the gradu-
ate students at the
Catholic University
of Rio de Janeiro
who attended the
Prof. Kasabov’s Distinguished Lecture in Brazil
The Computational Intelligence Society (CIS) of the IEEE has a programme called Distinguished Lectureship Programme (DLP). Prominent scientists are elected to represent the DLP as Distinguished Lecturers to promoted advanced research and development of the Society in the area of computational intelligence. In April 2013 Prof. Kasabov, Fellow of IEEE, who is a one of the IEEE CIS Distinguished Lecturers, was invited to present a lecture to the Brazilian Chapter of the IEEE CIS in Rio de Janeiro, hosted by the Chair of the Chapter Prof. Marley Vellasco and funded by IEEE. The topic was ‘Advances in Neurocomputing and Computational Intelligence: Evolving Connectionist
Systems and Evolving Intelligence”. The lecture was attended by more than 60 participants and was followed by individual discussions. Along with the IEEE lecture, Prof. Kasabov gave a tutorial on ‘Spiking Neural Networks’ to the graduate students and academics from the Catholic University of Rio de Janeiro and a talk at the University of Sao Paolo in Sao Carlos. The talks were inspirational for the students and academics as many of them talked with prof. Kasabov about their own projects and how they can continue their work in a collaborative way. The University of Sao Paolo and the Catholic University of Rio de Janeiro are among the top ranked Universities in Brazil. The Government of Brazil and its President Dilma Russeff announced early this year a Fund to support more than 50,000 undergraduate and postgraduate students to study or to spend part of their study abroad. Brazil is the 6th largest economy in the world (recently overpassing the UK). A New Zealand education and science delegation led by the Prime Minter John Key visited Brazil in March this year.
Keynote Speeches by Prof. Kasabov Speech on ‘Neurocomputing for Spatio-/Spectro Temporal Pattern Recognition and Early Event Prediction: Methods, Systems, Applications’
6th Balkan Conference in Informatics, 17th Panhellenic Conference in Informatics, Thessalonica, Greece, 19-21.09.2013, Keynote Speech on ‘Neurocomputation as Brain Inspired Informatics: Methods, Systems, Applications’
Invited Speaker at the 20th International Conference of the Neural Information Processing (ICONIP 13), Daegu, Korea, 3 -7.11.2013. Title of talk: ‘Spatio-temporal EEG data classification in the NeuCube 3D SNN Environment: Methodology and Examples.
Prof. Kasabov gave keynote speeches at the following conferences:
2013 International Conference on Intelligent Computing (ICIC2013), July 28-31 2013, in Nanning, China. Title of talk: 'Evolving Computational Intelligence: Methods, Systems, Applications'
ICANN 2013, Sofia, 10-13.09.2013, Keynote Speech on ‘Contemporary Developments in Neural Networks : Spiking Neural Networks for Adaptive Spatio-/Spectro Temporal Pattern Recognition’
EANN 2013, Halkidiki, Greece, 13-16.09.2013, Keynote
K N O W L E D G E E N G I N E E R I N G & D I S C O V E R Y
R E S E A R C H I N S T I T U T E
P A G E 5 2 0 1 3
Prof. Kasabov was awarded the ' Distinguished Visiting Fellow-ship' by the Royal Academy of Engineering (RAE), UK. As part of his visit to the UK, scheduled for October 2013. The Fellowship is by invitation only and is fully funded by the RAE. It is offered every year to only few eminent scientists from all over the world.
During the BCI conference in Thessalonica in September 2013, the Greek Computer Society elected Prof. Kasabov as an Hon-orary Member.
AUT nominated Prof. Kasabov to attend the National Science Challenge workshop that addresses "science for technological innovation". The workshop took place on Friday 14 June 2013 in Wellington. Prof. Kasabov was required to speak on the sci-ence challenge from the perspective of the University's strengths as well as with a clear eye for the science priorities for the country as a whole.
Nathan Scott and Vivienne Breen received the Vice Chancel-lor’s Doctoral Scholarship award for their PhD studies at KEDRI.
Muhaini Othman won the best 3 Minute Thesis Competition in Doctoral Consortium held during 26th Australasian Joint Con-ference on Artificial Intelligence 2013 at University of Otago, Dunedin .
Honors and Awards
Nathan receives the VC Doctoral Scholarship award
KEDRI Team with fellow researchers from Lincoln University and Shanghai Jiaotong University
As a form of cooperation between AUT,
Xinjiang University, and Shanghai
Jiaotong University under the NZ-China
Tripartite project, a workshop was held
in Lincoln University’s Bio-Protection
Research Centre on 15th November
2013 in Christchurch.
Prof Jie Yang and PhD Student Enmei Tu
from Shanghai Jiaotong University and
Assoc Prof Russel Pears and PhD
Student Reggio Hartono from KEDRI
attended the workshop.
Everyone presented their research and
shared their knowledge to enable
Tripartite Project Workshop
Muhaini with her poster paper
collaboration between the institutes. Lincoln University PhD
student Audrey Lustig made a follow-up visit to Auckland the
week after to discuss her research with the team at KEDRI.
P A G E 6
KEDRI
and
KLACSIS
signing a
research
agree-
ment
Projects
K N O W L E D G E E N G I N E E R I N G & D I S C O V E R Y
R E S E A R C H I N S T I T U T E
China is the second largest economy and a strategic partner of New Zealand. The New Zealand government has initiated several cooperation activities with China that include research and tertiary education cooperation.
KEDRI responded immediately and now KEDRI has 2 research collaboration projects with partners from China that aim at research and development and the preparation of pathways for a joint commercialisation in the future:
KEDRI Strategic Research Alliances with China
applications for neuro-rehabilitation and stroke prediction and prevention. The project includes researchers from the NISAN institute and other research centres from the Faculty of Health at AUT and clinical partners from China. The International Relationship Funding Agreement between the Ministry of Science and Innovation and AUT (KEDRI) for $300,000 over 3 years has been finalised and we are into the second year of the project. The Project Leader is Prof. N. Kasabov, FIEEE, FRSNZ, and the contact person in Beijing is Prof. Zeng-Guang Hou.
The joint team integrates expertise on novel spiking neural network methods for brain data analysis (KEDRI), stroke data collection and processing (NISAN) and neuro-rehabilitation robots (KLACSIS). Other research partners are joining the project that include the China
Recognising the educational and science benefits to be gained through a co-operative program promoting scholarly activities and international understanding, AUT and Institute of Automation, Chinese Academy of Sciences, of Beijing, China (CASIA), entered into a Memorandum of Understanding in October 2010 that formalised the already established research contacts between KEDRI and The Key Laboratory of Complex Systems and Intelligence, Institute of Automation (KLACSIS) in Beijing of the Chinese Academy of Sciences. In 2010 KEDRI and KLACSIS signed a research agreement in the presence of the Vice President of the China Academy of Sciences and the New Zealand Minister of Science and Innovation (see the photo) to develop novel neural network information methods for advanced robotic systems and their
New Zealand – China Strategic Research Alliance Project
KEDRI - East China – West China Tripartite Project
P A G E 7 2 0 1 3
In 2005, the Ministry of Education in China initiated
a partnership programme between prestigious
eastern universities and universities in developing
western inland areas known as the ‘Two Brothers’
arrangement. The New Zealand and Chinese
Ministries of Education subsequently agreed to
formally support and promote tripartite
relationships between New Zealand and China, in
which a New Zealand university is joined as the
‘third brother’. Both the New Zealand and the
Chinese governments have agreed to commit
funding to support this bilateral initiative. The
purpose of the New-Zealand-China Tripartite Fund is
to encourage the development of strategic research
relationships between New Zealand and China
existing partnerships. KEDRI responded to this
initiative and a tripartite agreement was signed in
2008 and renewed in 2012, with AUT (KEDRI),
Shanghai Jia Tong University, SJTU (East China) and
Xinjiang University (West China – Urumqi) to
cooperate on the development of intelligent
information methods and advanced software
systems for ecological and environmental modelling
and prediction, along with developing long term
educational relationships. This also involves
researchers from the National Center for
Bioprotection at Lincoln University. The methods
and systems will be offered both in NZ and China for
commercialisation at a later stage. The project is
funded by Education NZ. Project leader is Prof. N.
Kasabov, FIEEE, FRSNZ and the contact person in
China is Prof. Jie Yang, from Shanghai Jia Tong
University. Exchange of students and academics has
become a regular activity. Prof. Kasabov has been
elected as an Honorary Guest Professor at the SJTU
– one of the top five Universities in China and also
highly ranked internationally in computer science,
engineering and technologies.
Human Brain Project (www.humanbrainproject.eu), has announced an extra call for new project proposals and new members to join. Prof. Nikola Kasabov met with the Co-Director Prof. Meier (on the computing part) who invited him to apply for such a project and for AUT to become a member. This will be the first member from Australia and New Zealand.
An expression of interest was submitted for a CoRE proposal by AUT, led by the FDCT (KEDRI and
CoLAB) - INTERACT. This is
proposed as a long-term New Zealand-based research and education program that integrates
already established collaborations between researchers from all eight NZ universities, industry partners and international partners for the development of intelligent and innovative technologies and their applications across education, social, health and industry sectors in New Zealand based on human inspired and human-oriented computational intelligence. Our vision is that New Zealand needs to develop a raft of innovative and smart technologies and to generate enlightened university graduates with innovative thinking and creative minds for the benefit of the whole society.
An Agreement for International Collaboration was signed on 10th June 2013 between KEDRI, AUT, NZ , and The Global Frontier Center for Human-Level Machine Learning, Korea, to promote mutual understanding and research activities between the two countries and between two institutes through collaboration and exchange and to contribute to the advancement and progress of machine learning, artificial intelligence and brain and cognitive sciences.
The largest ever European Union funded project, called the
Academy of Sciences Institute of Biophysics and Chinese commercial companies involved in producing hardware and software systems for neuro-rehabilitation. The project includes the development of new, joint IP based on the existing
ones at KEDRI that will be shared by the partners. Preparation is underway for a larger project proposal to the NZ MBIE and the China Academy of Sciences for the next 5 years.
P A G E 8
K N O W L E D G E E N G I N E E R I N G & D I S C O V E R Y
R E S E A R C H I N S T I T U T E
Edited Book
N.Kasabov (ed) The Springer Handbook of Bio- and Neuroinformatics, Springer, 2013. ISBN 978-3-642-30573-3.
Book Chapters
Kasabov, N. (2013). Brain, Gene, and Quantum Inspired Computational Intelligence. In N. Kasabov (Ed.), Springer Handbook of Bio-/Neuroinformatics, Springer. pp. 1083-1098
Georgieva, P., Silva, F., Milanova, M., & Kasabov, N. (2013). EEG Signal Processing for Brain-Computer Interfaces. In N. Kasabov (Ed.), Springer Handbook for Bio-/Neuroinformatics, Springer. pp. 797-812
Schliebs, S., & Kasabov, N. (2013). Computational Modeling with Spiking Neural Networks. In N. Kasabov (Ed.), Springer Handbook of Bio-/Neuroinformatics, Springer. pp. 625-646
Tegginmath, S., Pears, R., & Kasabov, N. (2013). Ontologies and Machine Learning Systems. In N. Kasabov (Ed.), Springer Handbook of Bio-/Neuroinformatics, Springer. pp. 865-872
Kasabov, N. (2013). The Evolution of the Evolving Neuro-Fuzzy Systems: From Expert Systems to Spiking-, Neurogenetic-, and Quantum Inspired. In R. Seising, E. Trillas, C. Moraga, & S. Termini (Eds.), On Fuzziness A Homage to Lotfi A Zadeh (Vol. 298, pp. 271-280). Springer.
Liang, L., Krishnamurthi, R., Kasabov, N., & Feigin, V. (2013). Information methods for pre-dicting risk and outcome of stroke. pp. 993-1001
Kasabov, N. (2013). The evolution of the evolving neuro-fuzzy systems: From expert systems to spiking-, neurogenetic-, and quantum inspired. In Unknown Book (Vol. 298, pp. 271-280).
Hu, Y., Kasabov, N., & Liang, W. (2013). Personalised Information Modelling Technologies for Personalised Medicine. In N. Kasabov (Ed.), Springer Handbook of Bio- and Neuroin-formatics (pp. 1-32). Springer.
Journals
Erogbogbo, F., May, J., Swihart, M., Prasad, P., Smart, K., Jack, S., . . . Gladding, P. (2013). Bio-engineering Silicon Quantum Dot Theranostics using a Network Analysis of Metabo-lomic and Proteomic Data in Cardiac Ischemia. Theranostics, 3(9), pp. 719-728. doi:10.7150/thno.5010
Kasabov, N., Liang, L., Krishnamurthi, R., Feigin, V., Othman, M., Hou, Z.,. Parmar, P. (2013). Evolving Spiking Neural Networks for Personalised Modelling of Spatio-Temporal Data and Early Prediction of Events: A Case Study on Stroke. Neurocomputing
Publications
P A G E 9 2 0 1 3
Kageyama, Y., Momose, A., Takahashi, T., Ishii, M., Nishida, M., Mohemmed, A., . Kasabov, N. (2013). Analysis of Lip Motion Change Arising due to Amusement Feeling. IEEJ Transactions on Electrical and Electronic Engineering, 8(5), pp. 538-539. doi:10.1002/tee.21892
Pears, R., Widiputra, H., & Kasabov, N. (2013). Evolving integrated multi-model framework for on line multiple time series prediction. Evolving Systems, 4(2), pp. 99-117. doi:10.1007/s12530-012-9069-y
Liang., Hu., & Kasabov, N. (2013). Evolving Personalized Modeling System for Integrated Feature, Neigh-borhood and Parameter Optimization utilizing Gravitational Search Algorithm. Evolving Systems, pp. 1-14. doi:10.1007/s12530-013-9081-x
Schliebs, S., & Kasabov, N. (2013). Evolving spiking neural network-a survey. Evolving Systems, 4(2), pp. 87-98. doi:10.1007/s12530-013-9074-9
Kasabov, N., Dhoble, K., Nuntalid, N., & Indiveri, G. (2013). Dynamic evolving spiking neural networks for on-line spatio- and spectro-temporal pattern recognition. Neural Networks, 41, pp. 188-201.
Tu, E., Yang, J., Fang, J., Jia, Z., & Kasabov, N. (2013). An experimental comparison of semi-supervised learning algorithms for multispectral image classification. Photogrammetric Engineering and Remote Sensing, 79(4), pp. 347-357.
Mohemmed, A., Schliebs, S., Matsuda, S., & Kasabov, N. (2013). Training spiking neural networks to as-sociate spatio-temporal input-output spike patterns. Neurocomputing, 107, pp. 3-10. doi:10.1016/j.neucom.2012.08.034
Jordanov, I., Apolloni, B., & Kasabov, N. (2013). Special Issue: Contemporary development of neural computation and applications. Neural Computing and Applications, 22(1), pp. 1-2. doi:10.1007/s00521-012-0903-8
Conference Papers
Schliebs, S., Capecci, E., & Kasabov, N. (2013). Spiking Neural Network for On-line Cognitive Activity Classification Based on EEG Data. In ICONIP 13. Daegu, Korea. pp. 55-62.
Scott, N., Kasabov, N., & Indiveri, G. (2013). NeuCube Neuromorphic Framework for Spatio-Temporal Brain Data and Its Python Implementation. In ICONIP 13. Daegu, Korea. pp. 78-84
Chen, Y., Hu, J., Kasabov, N., Hou, Z., & Cheng, L. (2013). NeuroCubeRehab: A Pilot Study for EEG Classi-fication in Rehabilitation Practice Based on Spiking Neural Networks. In ICONIP 13. Daegu, Ko-rea. pp. 70-77.
Kasabov, N., Hu, J., Chen, Y., Scott, N., & Turkova, Y. (2013). Spatio-temporal EEG data classification in the NeuCube 3D SNN Environment: Methodology and Examples. In ICONIP 13. Daegu, Korea. pp. 63-69.
Zhou, L., Gong, C., Li, Y., Qiao, Y., Yang, J., & Kasabov, N. (2013). Salient Object Segmentation Based on Automatic Labeling. In ICONIP 13. Daegu, Korea. pp. 584-591.
Physical Address
Knowledge Engineering and Discovery Research Institute
Auckland University of Technology
Level 3, Duthie Whyte Building
120 Mayoral Drive
Auckland 1010
New Zealand
Postal Address
Knowledge Engineering and Discovery Research Institute
Auckland University of Technology
Private Bag 92006
Auckland 1142
New Zealand
http://www.kedri.aut.ac.nz/