from CISEletter date 3 December 2010 16:44 subject IEEE Computational Intelligence Society Electronic Letter Issue 74, December 2010 hide details 03/12/2010 - Hide quoted text - IEEE Computational Intelligence Society Electronic Letter Issue 74, December 2010 Manager: Haibo He Department of Electrical, Computer, and Biomedical Engineering University of Rhode Island Kingston, RI 02881 USA Email: he@ele.uri.edu Tel: (401) 874 - 5844; Fax: (401) 782 - 6422 Web: http://www.ele.uri.edu/faculty/he/ Submit your contributions at http://www.ci-eletter.org http://www.ci-eletter.org Submission deadline for the next issue: December 31, 2010 To become a member of the IEEE Computational Intelligence Society, please visit www.ieee-cis.org/join/ 1 IEEE CIS News and Announcements 1.1 IEEE Technical Field Award Call for Nominations 2 Conferences 2.1 2011 IEEE Frank Rosenblatt Award will be presented at CEC 2011 in New Orleans 2.2 CFP: International Joint Conference on Neural Networks (IJCNN 2011) 2.3 CFP: Deadline extension: International Symposium on Neural Networks (ISNN 2011) 2.4 CFP: International Conference on Swarm Intelligence (ICSI 2011) 2.5 CFP: IEEE International Conference on Robotics, Automation and Mechatronics (RAM 2011) 2.6 CFP: ASME/IEEE International Conference on Mechatronics & Embedded Systems & Applications (MESA 2011) 2.7 CFP: World Conference on Soft Computing (WConSC 2011) 3 Publication 3.1 IEEE Transactions on Neural Networks, Volume 21, Issue 11, November 2010 3.2 IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 8, No. 1, January-March 2011 3.3 IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 7, no. 4, October-December 2010 3.4 IEEE Transactions on Information Security and Forensics, December 2010 3.5 IEEE TNN Special Issue: Online Learning in Kernel Methods 3.6 CFP: Special Issue Contemporary Development of Neural Computation and Applications 4 Career oppurtunities 4.1 Post-doctoral Research Fellowship at Stirling University in Scotland (UK) 4.2 Postdoc and PhD Positions in Data Mining/Machine Learning at the National University of Ireland, Maynooth, Ireland. 4.3 Technical Team Leader in Data Mining / Machine Learning at the Irish Centre for Manufacturing Research 4.4 Lecturer in Guidance, Navigation & Control 5 Computational Intelligence Forum 5.1 TRIC IV: Regional Contest in Computational Intelligence ******************************************************* 1 IEEE CIS News and Announcements ******************************************************* 1.1 IEEE Technical Field Award Call for Nominations Posted by: Melissa Swartz (m.swartz@ieee.org) Date submitted: November 15th,2010 The IEEE Awards Program provides peer recognition to individuals whose contributions to the art and science of electro- and information technologies worldwide have improved the quality of life. CIS members may be particularly interested in the following IEEE Technical Field Awards, whose nomination deadlines are 31 January 2011. The awards typically consist of a bronze medal, certificate and honorarium. IEEE Internet Award IEEE Koji Kobayashi Computers and Communications Award IEEE Emanuel R. Piore Award IEEE Frank Rosenblatt Award For a list of all IEEE-level awards, nomination guidelines, forms and more information, visit www.ieee.org/awards. ================================================================================ ******************************************************* 2 Conferences ******************************************************* 2.1 2011 IEEE Frank Rosenblatt Award will be presented at CEC 2011 in New Orleans Posted by: Alice Smith (smithae@auburn.edu) Date submitted: November 1st,2010 The 2011 IEEE Frank Rosenblatt Award will be presented at CEC 2011 (June 5-8, New Orleans) to Dr. Hans-Paul Schwefel, Professor Emeritus of Dortmund University of Technology. Dr. Schwefel is one of the pioneers in evolutionary computation and one of the authors responsible for the evolution strategies. His work has helped to understand the dynamics of evolutionary algorithms and to put evolutionary computation on formal grounds. Please see the conference website for complete information on this award and other specifics about CEC 2011. http://www.cec2011.org/ ================================================================================ 2.2 CFP: 2011 International Joint Conference on Neural Networks (IJCNN 2011) Posted by: Ali Minai (minaiaa@gmail.com) Date submitted: November 30th,2010 IJCNN 2001 CALL FOR PAPERS AND PROPOSALS ****** DEADLINE FOR WORKSHOP, TUTORIAL, SPECIAL SESSION & PANEL PROPOSALS EXTENDED ******* Submissions of research papers and proposals for tutorials, workshops, special sessions and panels are invited for the 2011 International Joint Conference on Neural Networks to be held at the Doubletree Hotel in San Jose, California, July 31 - August 5, 2011.The conference is sponsored jointly by the International Neural Network Society and the IEEE Computational Intelligence Society. The range of topics covered includes, but is not limited to: * Neural network theory & models. * Collective intelligence. * Computational neuroscience. * Pattern recognition. * Cognitive models. * Machine vision. * Brain-machine interfaces. * Hybrid systems. * Embodied robotics. * Self-aware systems. * Evolutionary neural systems. * Data mining. * Neurodynamics. * Sensor networks. * Neuroinformatics. * Agent-based systems. * Neuroengineering. * Computational biology. * Neural hardware. * Bioinformatics * Neural network applications. * Artificial life. The conference will feature: * Contributed technical talks and posters describing the latest research from around the world. * Plenary lectures by world-famous researchers in neural networks and related fields. * Special sessions and panels covering topics of active current interest. * Focused sessions on the theme "From Brains to Machines" featuring invited speakers and contributed presentations. * Pre-conference tutorials and post-conference workshops with presentations by experts. * Challenging competitions on applying neural networks to difficult computational problems. For the first time, IJCNN 2011 will also feature a Special Track on Neuroscience and Neurocognition, for which authors may submit abstracts as well as full papers. Conference Website: http://www.ijcnn2011.org Submission Deadlines: Full Papers: February 1, 2011 Abstracts: February 1, 2011 (for Special Track on Neuroscience and Neurocognition only) Tutorial Proposals: December 15, 2010 ****Extended**** (submit to Tutorials Chair, Robert Kozma: rkozma _at_ memphis.edu) Workshop Proposals: December 15, 2010 ****Extended**** (submit to Workshops Chair, Robi Polikar: polikar _at_ rowan.edu) Special Session Proposals: December 15, 2010 ****Extended**** (submit to Special Sessions Chair, Steven Bressler: bressler _at_ fau.edu) Panel Proposals: December 15, 2010 ****Extended**** (submit to Panels Chair, Simona Doboli: simona.doboli _at_ hofstra.edu) Competition Challenge Deadlines: January 8 - March 15, 2011 (check www.ijcnn2011.org/competitions.php for details). Papers and abstracts should be submitted through the on-line submission system which will be available around December 10. Submission of tutorial and workshop proposals in the areas related to the "From Brains to Machines" theme is strongly encouraged. Chairs of the Organizing Committee: General Chair: Ali A. Minai (University of Cincinnati) Program Chair: Hava Siegelmann (University of Massachusetts Amherst) Technical Co-Chairs: Michael Georgiopoulos (University of Central Florida), Cesare Alippi (Politecnico di Milano) Please check the conference website for updates: http://www.ijcnn2011.org ================================================================================ 2.3 Deadline extension: 2011 International Symposium on Neural Networks (ISNN 2011) Posted by: Derong Liu (isnn2011@gmail.com) Date submitted: November 21th,2010 CFP for 2011 International Symposium on Neural Networks May 29 - June 1, 2011, Guilin, China http://isnn2011.mae.cuhk.edu.hk/ Extended paper submission deadline: December 10, 2010 ** Paper submission website will still be open for a few days after the deadline. The 8th International Symposium on Neural Networks (ISNN 2011) will be held in Guilin, China, as a sequel of ISNN 2004-2010. Guilin has a long history as the most beautiful place in China. It is famous for its wonderful scenery, rivers and karst peaks covered in lush greenery. ISNN 2011 aims to provide a high-level international forum for scientists, engineers, and educators to present the state of the art of neural network research and applications in diverse fields. The symposium will feature plenary lectures given by world renowned scholars, regular sessions with broad coverage, and some special sessions focusing on popular topics. Prospective authors are invited to submit full-length papers (6-8 pages normally and 10 pages maximum) by the submission deadline through the online submission system. All papers accepted by and presented at ISNN2011 will be published by Springer as multiple volumes of Lecture Notes in Computer Science which will be indexed by EI and ISTP. Selected papers will be published in special issues of several SCI journals. ISNN 2011 paper submission website: http://isnn2011.mae.cuhk.edu.hk/ We look forward to seeing you in Guilin, China! General Chairs Marios M. Polycarpou Paul J. Werbos Symposium Secretariat isnn2011@gmail.com ================================================================================ 2.4 CFP: 2011 International Conference on Swarm Intelligence (ICSI 2011) Posted by: Ying Tan (ytan@pku.edu.cn) Date submitted: November 1st,2010 CFP: 2011 International Conference on Swarm Intelligence (ICSI' 2011)(http://www.ic-si.org): Call-for-Papers Dates: 12th - 15th June 2011 Location: Chongqing, China The deadline for submission of papers is 1st January, 2011. Submission Details: Prospective authors are invited to contribute high-quality papers (6-10 pages) to ICSI 2011 through online submission system at http://www.easychair.org/conferences/?conf=icsi2011. Papers accepted by ICSI 2011 will be published in Springer's Lecture Notes in Computer Science (LNCS) (Indexed by ISI Proceedings, EI Compendex, ISTP, DBLP, etc.) and some high-quality papers will be selected for special issues of SCI-indexed Journals, i.e., Computational Intelligence, Information Science, International Journal of Artificial Intelligence, International Journal of Swarm Intelligence Research, etc. For details about ICSI 2011, please visit the conference website at http://www.ic-si.org. Conference Scope This conference is the second in a series of conferences (the first took place in Beijing, China in June 2010) that serves as a forum for an international community of researchers, practitioners and vendors on all aspects of Swarm Intelligence and its application. The scope of the conference includes (but is not limited to): Theories: Swarm-based optimization techniques; Swarm computing; Particle swarm optimization; Ant colony optimization; Fish school search; Stochastic Diffusion Search (SDS); Swarm robotics; Artificial life; Bioinformatics; Cognitive science; Social evolution; Optimization theory and methods; Grammatical Swarm; Evolutionary computation; Grammatical Evolution; Natural Computing; Simulation and emulation of nature; Multi-agent based complex systems; Collective intelligence; Social intelligence; Social computing Algorithms: PSO algorithms; ACO algorithms; FSS algorithms; Bees algorithm; Artificial Bee Colony Algorithms; Cultural algorithms; Genetic algorithms; Co-evolution algorithms; Memetic algorithms; Hybrid optimization methods; Evolutionary programming; Evolutionary strategy; Hybridization method; Evolutionary learning systems; Models: Computational swarm models; Artificial immune system; Multi-objective optimization; Evolutionary intelligent agents; Constrained environment; Information System; Analytic models of emergent behaviors; Classifier system; Evolving fuzzy system; Evolving neural networks; Models for social insets; Bio-inspired computing models; Socio-inspired computing models; Hybridizations of algorithms Applications: Pattern recognition; Financial prediction; Intelligent control; Information security; Web intelligence; Data mining; 2D or 3D virtual swarms; Audio or Image processing; Telecommunications systems; Evolutionary robotics; Automatic control; Routing; Socio-technical systems; Scheduling; Cybernetics and self-organization; Intelligent traffics; Simulations; Electronics systems; Defense security; Video surveillance; Emerging areas; Molecular Computing; DNA computing; Quantum computing; Granularity computing ================================================================================ 2.5 The 5th IEEE International Conference on Robotics, Automation and Mechatronics (RAM) Posted by: Yuanqing Xia (yuanqing.xia@gmail.com) Date submitted: November 4th,2010 The 5th IEEE International Conference on Robotics, Automation and Mechatronics (RAM), September 17-19, 2011, Qingdao, China The goal of the RAM 2011 is to bring together experts from the field of robotics, automation and mechatronics to discuss on the state-of-the-art and to present new research findings and perspectives of future developments with respect to the conference themes. The RAM 2011 is held in conjunction with the IEEE International Conference on Cybernetics and Intelligent Systems (CIS 2011). All the papers in the conference proceedings will be indexed in the IEEE Library, ISI Proceedings, and EI Compendex database. Email: cisram2011@gmail.com Web: http://www.cis-ram.org/2011/index.html ================================================================================ 2.6 CFP: The 7th ASME/IEEE International Conference on Mechatronics & Embedded Systems & Applications (MESA 2011) Posted by: YangQuan Chen (yqchen@ieee.org) Date submitted: November 14th,2010 Call for Papers: The 7th ASME/IEEE International Conference on Mechatronics & Embedded Systems & Applications (MESA 2011), August 28-31, 2011, Washington, DC, USA. Website: http://iel.ucdavis.edu/mesa/MESA11 The MESA program committee invites technical papers that will undergo the standard ASME and IEEE peer review process and will appear in a conference proceedings and in the ASME digital library. Important Dates: Submission of Abstract 11-02-2011 Submission of Full-Length Paper 18-02-2011 Author Notification of Acceptance 20-05-2011 Submission of Copyright Form 27-05-2011 Submission of Final Paper 30-05-2011 =============================================================================== 2.7 CFP: World Conference on Soft Computing (WConSC 2011) Posted by: Marek Reformat (Marek.Reformat@ualberta.ca) Date submitted: November 30th,2010 World Conference on Soft Computing (WConSC 2011) - Call for Papers San Francisco, May 23-26, 2011 www.WConSC.org Important Dates: Regular Paper Submission December 15, 2010 Notification of Acceptance February 1, 2011 Early Registration February 15, 2011 Final Paper Submission March 1, 2011 Proposals for Special Sessions December 1, 2010 Special Sessions Paper Submission December 15, 2010 Topics: Theories and Methods: Information Theory, Uncertainty, Bayesian and Probabilistic Methods, Evidence and Possibility Theory, Utility Theory, Fuzzy Sets and Fuzzy Logic, Approximate Reasoning, Non-classical Logics, Default Reasoning, Belief Revision, Argumentation, Uncertainty in Cognition, Graphical Models, Knowledge Acquisition, Information Fusion and Aggregation, Knowledge Representation, Ontologies, Decision Support, Cognitive Modeling, Game Theory, Multi-Criteria Decision Making, Granular Computing, Computing with Words, Human-Centric Computing, Rough Sets, Evolutionary Computation, Neural Networks, Hybrid Architectures Applications and Tools: Intelligent and Multi-agent Systems, Information Processing and Retrieval, Intelligent Data Analysis, Data Mining, Machine Learning, Database and Information Systems, Intelligent Search, Internet and Semantic Web, Social Networks and Trust, Multi-Media, Control and Robotics, Computer Vision, Pattern Recognition, Image Processing, Medicine and Bioinformatics, Finance, Software Engineering, Industrial Engineering, e-Commerce, Security ================================================================================ ******************************************************* 3 Publication ******************************************************* 3.1 IEEE Transactions on Neural Networks, Volume 21, Issue 11, November 2010 The following articles appear in the latest issue of IEEE Transactions on Neural Networks; Volume 21, Issue 11, November 2010. The articles can be retrieved on IEEE Xplore: http://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=5617343 or directly by clicking the individual paper URL below. Volume 21, Issue 11, November 2010 1. Title: Recognition of Partially Occluded and Rotated Images With a Network of Spiking Neurons Authors: Joo-Heon Shin; David Smith; Waldemar Swiercz; Kevin Staley; J. Terry Rickard; Javier Montero; Lukasz A. Kurgan; Krzysztof J. Cios Page(s): 1697-1709 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5617367 2. Title: Novel Stability Analysis for Recurrent Neural Networks With Multiple Delays via Line Integral-Type L-K Functional Authors: Zhenwei Liu; Huaguang Zhang; Qingling Zhang Page(s): 1710-1718 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5617347 3. Title: Kernel Wiener Filter and Its Application to Pattern Recognition Authors: Hirokazu Yoshino; Chen Dong; Yoshikazu Washizawa; Yukihiko Yamashita Page(s): 1719-1730 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5617345 4. Title: Clifford Support Vector Machines for Classification, Regression, and Recurrence Authors: Eduardo Jose Bayro-Corrochano; Nancy Arana-Daniel Page(s): 1731-1746 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5586658 5. Title: Theoretical Model for Mesoscopic-Level Scale-Free Self-Organization of Functional Brain Networks Authors: Jaroslaw Piersa; Filip Piekniewski; Tomasz Schreiber Page(s): 1747-1758 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5593221 6. Title: New Approach for the Identification and Validation of a Nonlinear F/A-18 Model by Use of Neural Networks Authors: Nicolas Boely; Ruxandra Mihaela Botez Page(s): 1759-1765 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5582299 7. Title: Self-Organizing MultiLayer Perceptron Authors: Bruno Gas Page(s): 1766-1779 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5580080 8. Title: High-Performance Reconfigurable Hardware Architecture for Restricted Boltzmann Machines Authors: Daniel Le Ly; Paul Chow Page(s): 1780-1792 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5580081 9. Title: Neural Network Learning Without Backpropagation Authors: Bogdan M. Wilamowski; Hao Yu Page(s): 1793-1803 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5580116 10. Title: Approximation-Based Adaptive Tracking Control of Pure-Feedback Nonlinear Systems With Multiple Unknown Time-Varying Delays Authors: Min Wang; Shuzhi Sam Ge; Keum-Shik Hong Page(s): 1804-1816 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5580082 11. Title: SWAT: A Spiking Neural Network Training Algorithm for Classification Problems Authors: John J. Wade; Liam J. McDaid; Jose A. Santos; Heather M. Sayers Page(s): 1817-1830 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5585775 12. Title: Semisupervised Kernel Matrix Learning by Kernel Propagation Authors: Enliang Hu; Songcan Chen; Daoqiang Zhang; Xuesong Yin Page(s): 1831-1841 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5593883 13. Title: New Passivity Analysis for Neural Networks With Discrete and Distributed Delays Authors: Hongyi Li; Huijun Gao; Peng Shi Page(s): 1842-1847 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5593884 14. Title: Tensor Distance Based Multilinear Locality-Preserved Maximum Information Embedding Authors: Yang Liu; Yan Liu; Keith C. C. Chan Page(s): 1848-1854 URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5585773 ================================================================================ 3.2 IEEE/ACM Transactions on Computational Biology and Bioinformatics, Vol. 8, No. 1, January-March 2011 Posted by: Steve Wareham (sdwareham@computer.org) Date submitted: November 9th,2010 The January-March 2011 (Vol. 8, No. 1) issue of IEEE/ACM Transactions on Computational Biology and Bioinformatics is now online. EIC Editorial Marie-France Sagot http://doi.ieeecomputersociety.org/10.1109/TCBB.2011.7 REGULAR PAPERS A Fast Algorithm for Computing Geodesic Distances in Tree Space Megan Owen, J. Scott Provan http://doi.ieeecomputersociety.org/10.1109/TCBB.2010.3 A General Framework for Analyzing Data from Two Short Time-Series Microarray Experiments Mohak Shah, Jacques Corbeil http://doi.ieeecomputersociety.org/10.1109/TCBB.2009.51 Efficient Formulations for Exact Stochastic Simulation of Chemical Systems Sean Mauch, Mark Stalzer http://doi.ieeecomputersociety.org/10.1109/TCBB.2009.47 Estimating Haplotype Frequencies by Combining Data from Large DNA Pools with Database Information Dario Gasbarra, Sangita Kulathinal, Matti Pirinen, Mikko J. Sillanpaa http://doi.ieeecomputersociety.org/10.1109/TCBB.2009.71 $F^2$Dock: Fast Fourier Protein-Protein Docking Chandrajit Bajaj, Rezaul Chowdhury, Vinay Siddavanahalli http://doi.ieeecomputersociety.org/10.1109/TCBB.2009.57 Fast Surface-Based Travel Depth Estimation Algorithm for Macromolecule Surface Shape Description Joachim Giard, Patrice Rondao Alface, Jean-Luc Gala, Benoit Macq http://doi.ieeecomputersociety.org/10.1109/TCBB.2009.53 Finding Significant Matches of Position Weight Matrices in Linear Time Cinzia Pizzi, Pasi Rastas, Esko Ukkonen http://doi.ieeecomputersociety.org/10.1109/TCBB.2009.35 Fuzzy ARTMAP Prediction of Biological Activities for Potential HIV-1 Protease Inhibitors Using a Small Molecular Data Set Razvan Andonie, Levente Fabry-Asztalos, Christopher Badi' Abdul-Wahid, Sarah Abdul-Wahid, Grant I. Barker, Lukas C. Magill http://doi.ieeecomputersociety.org/10.1109/TCBB.2009.50 Genetic Networks and Soft Computing Sushmita Mitra, Ranajit Das, Yoichi Hayashi http://doi.ieeecomputersociety.org/10.1109/TCBB.2009.39 Identification and Modeling of Genes with Diurnal Oscillations from Microarray Time Series Data Wenxue Wang, Bijoy K. Ghosh, Himadri B. Pakrasi http://doi.ieeecomputersociety.org/10.1109/TCBB.2009.37 Improving the Computational Efficiency of Recursive Cluster Elimination for Gene Selection Lin-Kai Luo, Deng-Feng Huang, Ling-Jun Ye, Qi-Feng Zhou, Gui-Fang Shao, Hong Peng http://doi.ieeecomputersociety.org/10.1109/TCBB.2010.44 Influence of Prior Knowledge in Constraint-Based Learning of Gene Regulatory Networks Mehmet Tan, Mohammed Alshalalfa, Reda Alhajj, Faruk Polat http://doi.ieeecomputersociety.org/10.1109/TCBB.2009.58 Information-Theoretic Model of Evolution over Protein Communication Channel Liuling Gong, Nidhal Bouaynaya, Dan Schonfeld http://doi.ieeecomputersociety.org/10.1109/TCBB.2009.1 Learning Genetic Regulatory Network Connectivity from Time Series Data Nathan A. Barker, Chris J. Myers, Hiroyuki Kuwahara http://doi.ieeecomputersociety.org/10.1109/TCBB.2009.48 Model Reduction Using Piecewise-Linear Approximations Preserves Dynamic Properties of the Carbon Starvation Response in Escherichia coli Delphine Ropers, Valentina Baldazzi, Hidde de Jong http://doi.ieeecomputersociety.org/10.1109/TCBB.2009.49 New Methods for Inference of Local Tree Topologies with Recombinant SNP Sequences in Populations Yufeng Wu http://doi.ieeecomputersociety.org/10.1109/TCBB.2009.27 Pairwise Statistical Significance of Local Sequence Alignment Using Sequence-Specific and Position-Specific Substitution Matrices Ankit Agrawal, Xiaoqiu Huang http://doi.ieeecomputersociety.org/10.1109/TCBB.2009.69 Predicting Metabolic Fluxes Using Gene Expression Differences As Constraints Rogier J.P. van Berlo, Dick de Ridder, Jean-Marc Daran, Pascale A.S. Daran-Lapujade, Bas Teusink, Marcel J.T. Reinders http://doi.ieeecomputersociety.org/10.1109/TCBB.2009.55 Probabilistic Analysis of Probe Reliability in Differential Gene Expression Studies with Short Oligonucleotide Arrays Leo Lahti, Laura L. Elo, Tero Aittokallio, Samuel Kaski http://doi.ieeecomputersociety.org/10.1109/TCBB.2009.38 Topology Improves Phylogenetic Motif Functional Site Predictions Dukka B. KC, Dennis R. Livesay http://doi.ieeecomputersociety.org/10.1109/TCBB.2009.60 Twin Removal in Genetic Algorithms for Protein Structure Prediction Using Low-Resolution Model Md Tamjidul Hoque, Madhu Chetty, Andrew Lewis, Abdul Sattar http://doi.ieeecomputersociety.org/10.1109/TCBB.2009.34 SHORT PAPERS A Weighted Principal Component Analysis and Its Application to Gene Expression Data Joaquim F. Pinto da Costa, Hugo Alonso, Luis Roque http://doi.ieeecomputersociety.org/10.1109/TCBB.2009.61 Disturbance Analysis of Nonlinear Differential Equation Models of Genetic SUM Regulatory Networks Ping Li, James Lam http://doi.ieeecomputersociety.org/10.1109/TCBB.2010.19 Linear-Time Algorithms for the Multiple Gene Duplication Problems Cheng-Wei Luo, Ming-Chiang Chen, Yi-Ching Chen, Roger W.L. Yang, Hsiao-Fei Liu, Kun-Mao Chao http://doi.ieeecomputersociety.org/10.1109/TCBB.2009.52 Recursive Mahalanobis Separability Measure for Gene Subset Selection K.Z. Mao, Wenyin Tang http://doi.ieeecomputersociety.org/10.1109/TCBB.2010.43 Semi-Markov Models for Brownian Dynamics Permeation in Biological Ion Channels Vikram Krishnamurthy, Kai Yiu Luk http://doi.ieeecomputersociety.org/10.1109/TCBB.2008.136 REVIEWERS LIST 2010 TCBB Reviewers List http://doi.ieeecomputersociety.org/10.1109/TCBB.2011.1 ================================================================================ 3.3 IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 7, no. 4, October-December 2010 Posted by: Marie-France Sagot (Marie-France.Sagot@inria.fr) Date submitted: November 30th,2010 IEEE/ACM Transactions on Computational Biology and Bioinformatics, vol. 7, no. 4, October-December 2010 1. Title: Guest Editors' Introduction to the Special Section on Bioinformatics Research and Applications Author: Mandoiu, I.; Narasimhan, G.; Pan, Y.; Zhang Y. Pages: 577-578 2. Title: Rearrangement Phylogeny of Genomes in Contig Form Author: Munoz, A.; Sankoff, D. Pages: 579-587 URL: http://doi.ieeecomputersociety.org/10.1109/TCBB.2010.66 3. Title: Untangling Tanglegrams: Comparing Trees by Their Drawings Author: Venkatachalam, B.; Apple, J.; St. John, K.; and Gusfield, D. Pages: 588-597 URL: http://doi.ieeecomputersociety.org/10.1109/TCBB.2010.57 4. Title: Pure Parsimony Xor Haplotyping Author: Bonizzoni, P.; Della Vedova, G.; Dondi, R.; Pirola, Y.; and Rizzi, R. Pages: 598-610 URL: http://doi.ieeecomputersociety.org/10.1109/TCBB.2010.52 5. Title: Exact Computation of Coalescent Likelihood for Panmictic and Subdivided Populations under the Infinite Sites Model Author: Wu, Y. Pages: 611-618 URL: http://doi.ieeecomputersociety.org/10.1109/TCBB.2010.2 6. Title: Improved Algorithms for Parsing ESLTAGs: A Grammatical Model Suitable for RNA Pseudoknots Author: Rajasekaran, S.; Al Seesi, S.; and Ammar, R.A. Pages: 619-627 URL: http://doi.ieeecomputersociety.org/10.1109/TCBB.2010.54 7. Title: Querying Graphs in Protein-Protein Interactions Networks Using Feedback Vertex Set Author: Blin, G.; Sikora, F.; and Vialette, S. Pages: 628-635 URL: http://doi.ieeecomputersociety.org/10.1109/TCBB.2010.53 8. Title: A Sparse Learning Machine for High-Dimensional Data with Application to Microarray Gene Analysis Author: Cheng, Q. Pages: 636-646 URL: http://doi.ieeecomputersociety.org/10.1109/TCBB.2009.8 9. Title: A Survey of Spatial Defects in Homo Sapiens Affymetrix GeneChips Author: Langdon, W.B.; Upton, G.J.G.; da Silva Camargo, R.; and Harrison, A.P. Pages: 647-653 URL: http://doi.ieeecomputersociety.org/10.1109/TCBB.2008.108 10. Title: A Cluster Refinement Algorithm for Motif Discovery Author: Li, G.; Chan, T.-M.; Leung, K.-S.; and Lee, K.-H. Pages: 654-668 URL: http://doi.ieeecomputersociety.org/10.1109/TCBB.2009.25 11. Title: Finding the Nearest Neighbors in Biological Databases Using Less Distance Computations Author: Zhou, J.; Sander, J.; Cai, Z.; Wang, L.; and Lin, G. Pages: 669-680 URL: http://doi.ieeecomputersociety.org/10.1109/TCBB.2008.99 12. Title: Human-Readable Rule Generator for Integrating Amino Acid Sequence Information and Stability of Mutant Proteins Author: Huang, L.-T.; Lai, L.-F.; and Gromiha, M.M. Pages: 681-687 URL: http://doi.ieeecomputersociety.org/10.1109/TCBB.2008.128 13. Title: Quatifying the Degree of Self-Nestedness of Trees: Application to the Structural Analysis of Plants Author: Godin, C.; and Ferraro, P. Pages: 688-703 URL: http://doi.ieeecomputersociety.org/10.1109/TCBB.2009.29 14. Title: Quartets MaxCut: A Divide and Conquer Quartets Algorithm Author: Snir S.; and Rao, S. Pages: 704-718 URL: http://doi.ieeecomputersociety.org/10.1109/TCBB.2008.133 15. Title: RDCurve: A Nonparametric Method to Evaluate the Stability of Ranking Procedures Author: Lu, X.; Gamst, A.; and Xu, R. Pages: 719-726 URL: http://doi.ieeecomputersociety.org/10.1109/TCBB.2008.138 16. Title: SARNA-Predict: Accuracy Improvement of RNA Secondary Structure Prediction Using Permutation-Based Simulated Annealing Author: Tsang, H.H.; and Wiese, K.C. Pages: 727-740 URL: http://doi.ieeecomputersociety.org/10.1109/TCBB.2008.97 17. Title: Using Gaussian Process with Test Rejection to Detect T-Cell Epitopes in Pathogen Genomes Author: You, L.; Brusic, V.; Gallagher, M.; and Boden, M. Pages: 741-751 URL: http://doi.ieeecomputersociety.org/10.1109/TCBB.2008.131 18. Title: VARUN: Discovering Extensible Motifs under Saturation Constraints Author: Apostolico, A.; Comin, M.; and Parida, L. Pages: 752-762 URL: http://doi.ieeecomputersociety.org/10.1109/TCBB.2008.123 19. Title: The Metropolized Partial Importance Sampling MCMC Mixes Slowly on Minimum Reversal Rearrangement Paths Author: Miklos, I.; Melykutiu B.; and Swenson, K. Pages: 763-767 URL: http://doi.ieeecomputersociety.org/10.1109/TCBB.2009.26 ================================================================================ 3.4 IEEE Transactions on Information Security and Forensics, December 2010 Posted by: Nasir Memon (memon@poly.edu) Date submitted: November 30th,2010 IEEE Transactions on Information Security and Forensics, December 2010 1. Fuzzy Classification Metrics for Scanner Assessment and Vulnerability Reporting Loh, P. K. K. Subramanian, D. Page(s): 613 - 624 Link: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5570991 2. A Video Watermarking Technique Based on Pseudo 3D DCT and Quantization Index Modulation Huang, H. Y. Yang, C. H. Hsu, W. H. Page(s): 625 - 637 Link: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5585823 3. Reversible Data Hiding Based on Histogram Modification of SMVQ Indices Lee, J. D. Chiou, Y. H. Guo, J.M. Page(s): 638 - 648 Link: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5549932 4. A Low Complexity Video Watermarking in H.264 Compressed Domain Mansouri, A. Aznaveh, A. M. Torkamani Azar, F. Kurugollu, F. Page(s): 649 - 657 Link: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5582233 5. A Detection Theoretic Approach to Digital Fingerprinting With Focused Receivers Under Uniform Linear Averaging Gaussian Attacks Dalkilic, O. Ekrem, E. Varlik, S. E. Mihcak, M. K. Page(s): 658 - 669 Link: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5582231 6. Impact of Rounding Error on Spread Spectrum Fingerprinting Scheme Kuribayashi, M. Kato, H. Page(s): 670 - 680 Link: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5593216 7. Quantitative Structural Steganalysis of Jsteg Kodovsky, J. Fridrich, J. Page(s): 681 - 693 Link: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5504206 8. Generalization and Analysis of the Paper Folding Method for Steganography Zhang, W. Liu, J. Wang, X. Yu, N. Page(s): 694 - 704 Link: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5546966 9. Gibbs Construction in Steganography Filler, T. Fridrich, J. Page(s): 705 - 720 Link: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5580091 10. Roughness Adaptive 3D Watermarking Based on Masking Effect of Surface Roughness Kim, K. Barni, M. Tan, H. Z. Page(s): 721 - 733 Link: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5551195 11. Image Encryption With Multiorders of Fractional Fourier Transforms Tao, R. Meng, X. Y. Wang, Y. Page(s): 734 - 738 Link: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5551197 12. On the Insecurity of Proactive RSA in the URSA Mobile Ad Hoc Network Access Control Protocol Jarecki, S. Saxena, N. Page(s): 739 - 749 Link: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5510149 13. Data Acquisition and Processing of 3D Fingerprints Wang, Y. Hassebrook, L. G. Lau, D. L. Page(s): 750 - 760 Link: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5530380 14. Gait-Based Human Age Estimation Lu, J. Tan, Y. P. Page(s): 761 - 770 Link: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5557806 15. Soft Biometric Traits for Continuous User Authentication Niinuma, K. Park, U. Jain, A. K. Page(s): 771 - 780 Link: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5570993 16. An Evaluation of Video-to-Video Face Verification Poh, N. Chan, C. H. Kittler, J. Marcel, S. Mc Cool, C. Rua, E. A. Alba Castro, J. L. Villegas, M. Paredes, R. Struc, V. Pavesic, N. Salah, A. A. Fang, H. Costen, N. Page(s): 781 - 801 Link: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5580093 17. A Comparison of Session Variability Compensation Approaches for Speaker Verification McLaren, M. Vogt, R. Baker, B. Sridharan, S. Page(s): 802 - 809 Link: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5551196 18. Detection of Quantization Artifacts and Its Applications to Transform Encoder Identification Luo, W. Wang, Y. Huang, J. Page(s): 810 - 815 Link: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5567154 19. Camera Response Functions for Image Forensics: An Automatic Algorithm for Splicing Detection Hsu, Y. F. Chang, S. F. Page(s): 816 - 825 Link: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5580092 20. A Comprehensive Approach to Image Spam Detection: From Server to Client Solution Gao, Y. Choudhary, A. Hua, G. Page(s): 826 - 836 Link: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5585752 21. Identifying and Resolving Hidden Text Salting Moens, M. F. De Beer, J. Boiy, E. Gomez, J. C. Page(s): 837 - 847 Link: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5535168 22. Detecting Double JPEG Compression With the Same Quantization Matrix Huang, F. Huang, J. Shi, Y. Q. Page(s): 848 - 856 Link: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5582232 23. Region Duplication Detection Using Image Feature Matching Pan, X. Lyu, S. Page(s): 857 - 867 Link: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5582232 24. An Automated Solution to the Multiuser Carved Data Ascription Problem Garfinkel, S. L. Parker Wood, A. Huynh, D. Migletz, J. Page(s): 868 - 882 Link: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5518429 25. Detecting Forgery From Static Scene Video Based on Inconsistency in Noise Level Functions Kobayashi, M. Okabe, T. Sato, Y. Page(s): 883 - 892 Link: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5570992 26. Detecting Trojans Through Leakage Current Analysis Using Multiple Supply Pad {I}_{\rm DDQ} s Aarestad, J. Acharyya, D. Rad, R. Plusquellic, J. Page(s): 893 - 904 Link: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5530381 27. Dynamic Feature Analysis and Measurement for Large-Scale Network Traffic Monitoring Guan, X. Qin, T. Li, W. Wang, P. Page(s): 905 - 919 Link: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5546965 28. A Provably Secure Anonymous Buyer-Seller Watermarking Protocol Rial, A. Deng, M. Bianchi, T. Piva, A. Preneel, B. Page(s): 920 - 931 Link: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5560816 29. Distance Metric Learning for Content Identification Jang, D. Yoo, C. D. Kalker, T. Page(s): 932 - 944 Link: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5545391 30. Quotation Authentication: A New Approach and Efficient Solutions by Cascaded Hashing Techniques Liu, T. Y. Tsai, W. H. Page(s): 945 - 954 Link: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5560818 31. Asymptotic Biometric Analysis for Large Gallery Sizes Baveja, M. Yuan, H. Wein, L. M. Page(s): 955 - 964 Link: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5510150 ================================================================================ 3.5 IEEE TNN Special Issue: Online Learning in Kernel Methods Posted by: Weifeng Liu (weifeng@ieee.org) Date submitted: November 24th,2010 Online learning is one of the most powerful and commonly used techniques for training adaptive filters and has been used successfully in neural networks. The last decade has also witnessed a flurry of research efforts in Mercer kernel methods, such as the SVM and kernel regression, kernel principal component analysis etc. All these techniques use algorithms that have to work with a large matrix (the Gram Matrix) which makes them computational and memory intensive. It is theoretically possible to arrive at the neighborhood of the optimal solution using gradient descent techniques, with simpler and less memory intensive algorithms. There are already important algorithms in the literature that propose online learning with kernels such as resource allocating networks, growing and pruning radial basis function networks, kernel recursive least-squares algorithms, kernel least-mean-square algorithms, kernel affine projection algorithms, etc. These advances are slowly evolving into ! a new adaptive system theory that can be encapsulated under the name of Online Learning in Kernel Methods (OLKM). OLKM uses Mercer kernels for nonlinear mapping of the input space into a hidden space of high dimensionality and uses linear adaptive structures (filters, regressors, classifiers) for accommodating the adaptive requirement. In so doing, it preserves the conceptual simplicity of linear adaptive filters (no local minima), and inherits the rich expressiveness from kernel methods (universal approximation property). Although OLKM has found applications in signal processing, pattern recognition, data mining, informational retrieval, and demand forecasting, the theory itself is far from complete. This special issue intends to attract papers that advance the mathematical foundations, the application and understanding of these methodologies. We invite original and unpublished research contributions in all areas relevant to online learning with kernels. The papers will present original work or review state-of-the-art approaches that summarize the recent advances in the following non-exhaustive list of topics: - Online learning for kernel adaptive systems - Kernelization of online learning techniques - Optimization, growing and pruning techniques and kernel design for online kernel learning - Information theoretic learning principles in kernel adaptive systems - Multidimensional kernel adaptive systems (complex, quaternion, and multichannel) - Convergence, steady-state and error bound analysis of online kernel algorithms - New applications of online learning with kernels Prospective authors should visit http://ieee-cis.org/pubs/tnn/papers/ for information on paper submission. Manuscripts should be submitted using the Manuscript Central system at http://mc.manuscriptcentral.com/tnn. On the first page of the manuscript as well as on the cover letter, indicate clearly that the manuscript is submitted to the TNN Special Issue: Online Kernel Learning. Manuscripts will be peer reviewed according to the standard IEEE process. Manuscript submission due: May 1, 2011 First review completed: October 1, 2011 Revised manuscript due: December 1, 2011 Second review completed: March 1, 2012 Final manuscript due: March 31, 2012 Guest editors: Dr. Jose C. Principe, University of Florida, USA, principe@cnel.ufl.edu Dr. Seiichi Ozawa, Kobe University, Japan, ozawasei@kobe-u.ac.jp Dr. Sergios Theodoridis, University of Athens, Greece, stheodor@di.uoa.gr Dr. Tulay Adali, University of Maryland, Baltimore County, USA, adali@umbc.edu Dr. Danilo P. Mandic, Imperial College London, UK, d.mandic@imperial.ac.uk Dr. Weifeng Liu, Amazon.com, USA, weifeng@ieee.org ================================================================================ 3.6 CFP: Special Issue Contemporary Development of Neural Computation and Applications Posted by: Ivan Jordanov (ivan.jordanov@port.ac.uk) Date submitted: November 4th,2010 The aim of this special issue is to solicit theoretical, computational, application-oriented, experimental and real-world research in the field of neural computing and to demonstrate the advances, successes, and improvements in the investigation and application of state-of-the-art neural computing methodologies. Submission procedure: http://www.editorialmanager.com/nca/ ================================================================================ ******************************************************* 4 Career oppurtunities ******************************************************* 4.1 Post-doctoral Research Fellowship at Stirling University in Scotland (UK) Posted by: Amir Hussain (ahu@cs.stir.ac.uk) Date submitted: November 22th,2010 Post-doctoral Research Fellowship at Stirling University in Scotland (UK) The Cognitive Signal Image Processing Research (COSIPRA) Laboratory of Dr. Amir Hussain at the University of Stirling in Scotland (UK), invites applications for a Postdoctoral Research Fellow to work on the UK Engineering and Physical Sciences Research Council (EPSRC) funded project "Dual Process Control Models in the Brain and Machines with Application to Autonomous Vehicle Control". The general aim of this three year multi-disciplinary project is to exploit a range of similarities between systems in control engineering and the animal brain, focusing specifically on the concepts of automatised and controlled (or executive) processing and how they might map onto modular Autonomous Vehicle Control (AVC) solutions. Given the inherent similarities between the two problem domains of AVC and action selection in animals, this ambitious project aims to leverage new results from psychology and neurobiology discovered in the laboratory of the project Co-Investigator (Prof Kevin Gurney at The University of Sheffield) and apply them to the AVC controllers under development in Dr Hussain's Lab at Stirling. The outcome should be a new generation real-time cognitive AVC controller, more directly inspired by the biological ideas. The appointed postdoctoral researcher will work closely with the project's industrial partners (Industrial Systems Control and SciSys Ltd.) to evaluate the benefits of these novel controllers within the challenging context of regular road driving and planetary rover vehicles. The post-doctoral fellow will be based full-time in Dr. Hussain's COSIPRA Lab, which is part of the Computational Intelligence Research Group of the Department of Computing Science & Maths within the University's new School of Natural Sciences. COSIPRA is a leading multidisciplinary research group in the field of cognitive modeling, simulation and control of complex systems. Details about the Department can be found at: http://www.cs.stir.ac.uk and about the COSIPRA Lab: http://cosipra.cs.stir.ac.uk Applicants will be working in the field of intelligent adaptive control engineering (or a closely related discipline), and should ideally have some experience of biologically-inspired modelling. The post is full time for 3 years starting from 1st February 2011 or as soon as possible thereafter. Starting salary will be in the post-doctoral RA scale (Grade 7: UK pounds sterling 29,853-35,646 p.a.) Informal enquiries should be addressed to the project's Principal Investigator: Dr Amir Hussain ahu@cs.stir.ac.uk Please include in your subject heading: EPSRC Post-doctoral Research Fellow: Cognitive Control of Autonomous Systems, Ref: 16906. To formally apply for this post, a completed application form (which can be obtained by emailing: hr-services@stir.ac.uk) quoting reference number 16906; a CV listing all publications; a pdf of up to three representative publications and a research statement describing your previous research experience, outlining the relevance to this project, needs to be submitted to: hr-services@stir.ac.uk The closing date for applications is 12 noon on Monday 6th December 2010. Applications received after this time may not be considered. *Please note that applications will be rejected if they do not include a completed application form.* Interviews are expected to be held before (or very shortly after) the New Year. Valuing Diversity & Committed to Equality ================================================================================ 4.2 Postdoc and PhD Positions in Data Mining/Machine Learning at the National University of Ireland, Maynooth, Ireland. Posted by: Sean McLoone (s.mcloone@ieee.org) Date submitted: November 12th,2010 The Dynamics and Control Research Group (http://www.eeng.nuim.ie/dac) at NUI Maynooth, in partnership with the Irish Centre for Manufacturing Research (ICMR) (http://www.icmr.ie/), are currently recruiting both postgraduate and postdoctoral researchers for research projects in data mining, statistical analysis, and predictive modelling for industrial applications. Projects will involve developing data driven virtual metrology and predictive maintenance algorithms and methodologies for a range of manufacturing processes using state-of-the-art machine learning and data mining techniques. For further information on the positions available and the application process see http://dac.eeng.nuim.ie/vacancies.php The initial closing date for applications for the postdoc positions is 5 pm on Wednesday 15th December, but if suitable candidates have not applied at this time the positions will remain advertised until filled. The PhD positions are available on an ongoing basis. ================================================================================ 4.3 Technical Team Leader in Data Mining / Machine Learning at the Irish Centre for Manufacturing Research Posted by: Karen Jasinski (jobs@icmr.ie) Date submitted: November 12th,2010 The Irish Centre for Manufacturing Research (http://www.icmr.ie) is currently recruiting a Technical Team Leader with expertise in data mining / machine learning to lead a variety of research projects in conjunction with our academic and industrial partners. The projects will involve developing data driven virtual metrology and predictive maintenance solutions for a range of manufacturing processes using state-of-the-art machine learning and data mining techniques. Applicants must have demonstrated an ability to carry out leading edge research, as evidenced by publications in top-tier conferences and journals and have an excellent command of the English language, both written and oral. We particularly require the successful candidate to have a strong background and experience in dealing with manufacturing process data and delivering leading-edge solutions to companies. This is a fixed term renewable yearly contract with annual reviews up to and no longer than 3 years from date of hire. The position is based in Leixlip, Co. Kildare, Ireland. Responsibilities The Technical Team Leader's responsibilities will include (but not be limited to) the following: * Working with the ICMR partners to define, develop and deliver a leading-edge research agenda. * Leading and educating the academic/industrial technical team. * Delivering breakthroughs in advanced process control and machine learning. * Specification and development of technical skills required to execute the project plans. * Managing the entire data modelling cycle (data collection, data formatting, data analysis, data reporting, results dissemination). * Preparing project proposals and attracting funding from relevant sources. * Developing the reputation of the ICMR through publication in leading conferences and journals. Required * Doctorate Degree in a relevant discipline (e.g. Electronic Engineering/Computer Science/Applied Mathematics) * Expertise in some or all of the following areas: system identification, machine learning, kernel methods, Bayesian inference, multivariate statistical process control. * At least 5 years experience of statistical analysis or modeling tools such as Matlab or R. * Experience of coding in C# and/or C++ * Proficiency in Matlab and/or R * Excellent written and oral English skills * Excellent interpersonal skills and a strong team player * Strong track record of engagement with companies on research projects * Willingness to travel both nationally and internationally Preferred * Business qualification or experience (e.g. MBA) * Software development skills Salary: Range Euro 50,000 - Euro 60,000 per annum, depending on skills and experience. If you are interested in applying, please email: 1. A full CV with a list of publications 2. A cover letter detailing your relevant experience and expertise and the motivation for you application 3. Contact information for at least two referees to Ms. Karen Jasinski at jobs@icmr.ie. The initial closing date for applications is 5pm on Wednesday 15th December, but if suitable candidates have not applied at this time, the position will remain advertised until filled. ================================================================================ 4.4 Lecturer in Guidance, Navigation & Control Posted by: Nicola Peacock (n.peacock@cranfield.ac.uk) Date submitted: November 22th,2010 Cranfield Defence and Security Department of Informatics and Systems Engineering Lecturer in Guidance, Navigation & Control (GNC) £38,011 to £42,369 per annum Cranfield University work at CDS (Shrivenham) on Guidance, Navigation & Control (GNC), led by Prof Tsourdos from the Autonomous Systems Group, has unique research strength because the Group has historically had deep expertise in each of the three areas and, at the same time, harnessed that expertise for the purposes of integrating Guidance, Navigation & Control, as required by industrial practice and true innovation. This approach of individual and integrative expertise has been recognised by national and international experts from Academia, Government and Industry, and has led to substantial and prestigious funding in the last ten years. The Appointee will be expected to maintain and expand the GNC teaching and research portfolio. The skills required for this Lecturer post are: expertise in flight dynamics & control, guidance and navigation, with a PhD in one of these areas. Also needed is the ability to communicate complex information clearly. For further particulars, please contact the GNC area leader, Professor Antonios Tsourdos, tel: 01793 785841, e-mail: A.Tsourdos@cranfield.ac.uk. Please apply online at www.cranfield.ac.uk/hr or alternatively, application forms and further details may be obtained from the HR Department, Cranfield University, Defence Academy of the United Kingdom, Shrivenham, Swindon, Wiltshire, SN6 8LA. Tel (01793) 785758, quoting ref R/DISE003. Closing date for receipt of applications is Wednesday 15 December 2010. Interviews will be held on Monday 20 December 2010. ================================================================================ ******************************************************* 5 Computational Intelligence Forum ******************************************************* 5.1 TRIC IV: Regional Contest in Computational Intelligence Posted by: Daniela Lopez De Luise (daniela_ldl@ieee.org) Date submitted: November 18th,2010 November 11, 2010. Buenos Aires. Argentine. ABOUT TRIC TRIC started as a biannual event in 2003. Intended to promote and spread knowledge, it was one of the first events of the IEEE CIS in Argentine. Its main goals are: -Promote the Computational Intelligence study, research and interchange -To share knowledge in CI -Encourage students, practitioners, and scientist to interchange experiences and opinions Any person or group interested in CI can participate with an original or previously printed paper. The call is open also to groups or enterprises that feel to share findings and or results in application areas. TRIC IV EVENT This event was organized by AIGroup research lab at the Palermo University and The Argentinean Chapter of the IEEE CIS. It was sponsored by Argentinean IEEE CIS chapter, Palermo University and by the Science and Technology research funds (FONCYT), granted by the Argentinean National Agency for Science and Technology promotion. TRIC IV was a successful meeting with two types of participants: undergraduate and graduated. There were several attendants from diverse research labs and universities. The meeting had Carlos Cruz Corona (Granada University, Spain) as Distinguished lecturer, speaking about "Soft Computing. Its application in the development of cooperative approaches inspired on Nature. There was also a discussion panel very interesting with the topic: Computational Intelligence. Experiences and new perspectives. A brief of the discussion can be found in: https://sites.google.com/a/aigroup.com.ar/ofisy/home/a/triciv Panelist were Miguel Angel Mayoski (National University at La Plata) , Alejandro Hadad (national University at Entre Rios), and Carlos Cruz Corona . Isabel Passoni moderated the session and Daniela Lopez De Luise was in charge of writing the proceedings. The AIGroup video conference system enabled people from other cities to attend virtually to paper presentations. From the papers submitted, just 15 of them were qualified as finalist and invited for presentation in the event. Following are medals and certificates delivered to finalists: Graduated papers ---------------- *Golden medal and 1st place: Austina Bouchet. Paper: Compensatory Fuzzy Logic based on arithmentic average and its application to fuzzy mathematical morphology *Silvered medal and 2nd place: Fernando Auat. Paper: commuted planning strategy for autonomous mobile robot navigation in farms using SLAM *Bronzed medal and 3st place: Francisco Gindre. Paper: Puzzle solution using Genetic Algorithms and multigraphs *Special mention: Gabriel Barrera. Paper: "An autonomous robot prototype using concept learning model" *Special mention: Jose Alberto Fernandez Leon. Paper:"Behavioral robustness and the distributed mechanisms hypothesis: lessons from biological-inspired and theoretical biology" Undergraduate papers: --------------------- *Golden medal and 1st place: Franco Madou. Paper: "Improving Software Quality with Artificial Intelligence" *Silvered medal and 2nd place: Miguel Galante/Alejandro Fiel Mart­nez. Paper: Handwritten figures detection and evaluation. *Bronzed medal and 3st place: Lucas Dima. Paper: Artificial Intelligence applied to mathematical test design *Special mention: Diego Branca Paper: "Implementing DSS in an industrial context" *Special mention: Juan Manuel Combetto Paper "A secure signature validation architecture prototype" more information and photos in: http://www3.fi.mdp.edu.ar/cis/ https://sites.google.com/a/aigroup.com.ar/ofisy/images/tric-iv ================================================================================