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［CFP］ICDM2016 Workshop Data Mining in Human Activity Analysis (DMHAA)
by 刘伟锋 May 18, 2016

May 18, 2016

[Apologies for cross-postings] ＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊ Call for papers ICDM2016 Workshop Data Mining in Human Activity Analysis (DMHAA) December 12, 2016 http://staff.ustc.edu.cn/~xinmei/ICDM2016_Workshop/ICDM2016_Workshop.html ＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊＊ Human activity analysis is an important area of computer vision and pattern recognition research with the rapid development of computing and sensing technologies such as the emergence of social network and wearable devices. It is becoming more and more critical to develop human-centered multimedia analytics including human behavior recognition, personal data mining, experiences of wearable-device applications, intelligent surveillance, semantic relationship analysis between heterogeneous multimedia. The development of the Internet of Things opens up great potential. Many data mining or machine learning techniques have recently been successfully developed and applied to human activity analysis. For example, smart devices (e.g. Microsoft’s SenseCam, Google Glass, smart phone, smart watches, portable EEG acquisition devices, etc.) facilitate the capture and collection of human activity multimedia; sparse representation is widely employed for human activity recognition; multi-view learning algorithms significantly boost the performance of human re-identify; manifold learning algorithms dramatically enhance the recognition rates in human behavior analysis where there is only a few labeled samples; and deep learning has produced promising results in many human-centered applications. Motivated by the inclination to collect a set of recent advances and results in these related topics, provide a platform for researchers to exchange their innovative ideas and attractive improvements on human activity analysis, and introduce interesting utilizations of data mining and machine learning algorithms for particular human-centered applications, this workshop will target emergent data mining methods for human activity analysis. To summarize, this workshop welcomes a broad range of submissions developing and using data mining techniques for human activity analysis. We are especially interested in 1) theoretical advances as well as algorithm developments in data mining for human activity analysis, 2) reports of practical applications and system innovations in human activity analysis, and 3) novel data sets as test bed for new developments, preferably with implemented standard benchmarks. The following list suggests topics of interest (but not limited to): • Multi-view Learning algorithms for Human Activity Analysis • Sparse and/or Manifold Learning for Human Activity Representation • Human Action Recognition in Images/Videos • Human Behavior Analysis • Human-centered Social Media Analytics • Smart Computing for Personal Data Mining • Deep Learning for Human-centered Media • Parallel Computing for Human-centered Media • Experiences of wearable-device applications • Human-centered Data Visualization • Analytics developed from Computational Psychoanalysis and related underpinnings. Accepted papers will be included in the IEEE ICDM 2016 Workshops Proceedings volume published by IEEE Computer Society Press, and will also be included in the IEEE Xplore Digital Library. The workshop proceedings will be in a CD separated from the CD of the main conference. The CD is produced by IEEE Conference Publishing Services (CPS). Important Dates August 12, 2016: Due date for full workshop papers September 13, 2016: Notification of workshop papers acceptance to authors September 20, 2016: Camera-ready deadline for accepted papers December 12, 2016: Workshop date Instruction for paper submission The page limit of workshop papers is 8 pages in the standard IEEE 2-column format ( http://www.ieee.org/conferences_events/conferences/publishing/templates.html) including the bibliography and any possible appendices. All papers must be formatted according to the IEEE Computer Society proceedings manuscript style, following IEEE ICDM 2016 submission guidelines available at http://icdm2016.eurecat.org/. Papers should be submitted in PDF format, electronically, using the CyberChair submission system ( https://wi-lab.com/cyberchair/2016/icdm16/scripts/submit.php?subarea=S08&un… ). Registration and expenses Every workshop paper must have at least one paid registration in order to be published, no matter whether the author is a workshop organizer or an invited speaker. Workshop organizers: Dr. Xinmei Tian Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui, China, 230027. Email: xinmei(a)ustc.edu.cn Website: http://staff.ustc.edu.cn/~xinmei/ Phone: +86 551-63600281 Dr. Weifeng Liu, China University of Petroleum (East China), #66, Changjiang Road West, Huangdao District, Qingdao 266480, China, Email: liuwf(a)upc.edu.cn Prof. Fionn Murtagh Department of Computing and Mathematics, University of Derby, Derby DE22 1GB, UK, and Department of Computing, Goldsmiths, University of London, London, SE14 6NW, UK.. Email: fmurtagh(a)acm.org Website: http://www.fmurtagh.info

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PhD/MSc Student Position in Systems Neuroscience at the University of Lethbridge, Canada
by Tatsuno, Masami May 17, 2016

May 17, 2016

[Apologies for cross-postings] --- PhD/MSc Student Position in Systems Neuroscience at the University of Lethbridge, Canada --- One PhD/MSc student position is available immediately in the labs of Prof. Masami Tatsuno and Prof. Majid Mohajerani at the Canadian Centre for Behavioural Neuroscience (CCBN), University of Lethbridge, Canada (http://www.uleth.ca/artsci/neuroscience/about) We investigate memory processes of the awake/sleeping brain experimentally and computationally with the goal of understanding how spontaneous neural activity during sleep facilitates performance improvement. We use the state-of-the-art multi-electrode recordings from freely behaving rodents and imaging techniques such as two-photon Calcium imaging and wide-field voltage imaging. The successful candidate will investigate how external manipulation of sleep contributes to consolidation of memory. Several different methods including transcranial direct current stimulation, targeted memory reactivation and optogenetics will be employed. The successful candidate will also have an opportunity to participate in developing a novel analysis method for neural signals and modeling memory function. A high degree of interaction with the labs in the Brain Dynamics group ( http://lethbridgebraindynamics.com ) as well as in CCBN ( http://www.uleth.ca/artsci/neuroscience ) will be also expected. Motivated candidates should email a short letter of research interest including their skills and experience, CV and the names of three references to Masami Tatsuno (tatsuno(a)uleth.ca<mailto:tatsuno@uleth.ca>). Please do not have reference letters sent unless requested. Applicants should put "SysNeuro PhD/MSc recruitment" in the subject of their email. Various funding will be available depending on the candidate's qualification. Lethbridge is located two hours from Calgary, 90 minutes from the Canadian Rockies and is a safe, family friendly environment. ********************************************* Masami Tatsuno, Ph.D. Associate Professor of Neuroscience The University of Lethbridge Email: tatsuno(a)uleth.ca<mailto:tatsuno@uleth.ca> http://lethbridgebraindynamics.com/masami_tatsuno Majid Mohajerani, Ph.D. Assistant Professor of Neuroscience The University of Lethbridge Email: mohajerani(a)uleth.ca<mailto:mohajerani@uleth.ca> http://lethbridgebraindynamics.com/majid-mohajerani/ *********************************************

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[jobs] Lecture in Computer Science, Aberystwyth UK
by Patricia Shaw May 17, 2016

May 17, 2016

Lecturer in Computer Science, Aberystwyth University, Wales, UK £34,576 - £37,768 per annum Closing Date: 19 June 2016 Interview Date: 6 July 2016 Ref No: IMPACS.16.06 Further details and to apply: https://jobs.aber.ac.uk/en/vacancy/lecturer-in-computer-science-264661.html The Department of Computer Science wishes to appoint a lecturer to undertake teaching and research. The successful candidate will be expected to contribute to both postgraduate and undergraduate teaching, and to demonstrate a strong research record in an area that is of direct relevance to at least one of the four research groups within the Department: *Intelligent Robotics; Vision, Graphics and Visualisation; Advanced Reasoning; and Bioinformatics*, with a preference for *Bioinformatics or Space Robotics*. The interviewed candidates will be expected to present a lecture or lecture excerpt as part of the selection process. Prospective applicants may discuss the post informally with the Head of Department, Dr Bernie Tiddeman (e-mail: bpt(a)aber.ac.uk) or the Director of the Institute of Maths, Physics and Computer Science, Professor Qiang Shen (qqs(a)aber.ac.uk)

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Postdoctoral Research Scientist Position in Neuroimaging and Neurostimulation
by Paul Sajda May 16, 2016

May 16, 2016

The Laboratory for Intelligent Imaging and Neural Computing (LIINC) directed by Prof. Paul Sajda at Columbia University has an immediate opening for a Postdoctoral Research Scientist (Fellow) to participate in a project focused on building and characterizing an integrated closed-loop multimodal neuroimaging and neurostimulation system for use in humans. This is a joint project with the Medical University of South Carolina (Profs. Truman Brown and Mark George ) where we are building an EEG/fMRI/TMS instrument capable of real-time and on-line neurostimulation and imaging. Our long term goal is to use the instrument for both basic science and clinical applications. The successful applicant will be involved in both developing and testing the instrument as well as conducting novel scientific experiments and clinical studies. Applicants should have a background in several of the following area: Recording and analysis of simultaneous EEG and fMRI , real-time signal processing, recording and analysis of simultaneous EEG and TMS, instrumentation (digital and analog electronics), machine learning. A Ph.D. in Electrical Engineering, Computer Science or Neuroscience is preferred. LIINC (liinc.bme.columbia.edu <http://liinc.bme.columbia.edu/>) is within the Department of Biomedical Engineering at Columbia University. We are part of a dynamic and vibrant neuroengineering environment which includes the Center for Neuroengineering and Computation (cnec.columbia.edu <http://cnec.columbia.edu/>) the Zuckerman Mind Brain Behavior Institute (zuckermaninstitute.columbia.edu <http://zuckermaninstitute.columbia.edu/>) and the Data Sciences Institute (dsi.columbia.edu <http://dsi.columbia.edu/>). Interested candidates should send via email their CV, three representative papers, the names of three references, and cover letter to Prof. Paul Sajda (psajda(a)columbia.edu) The position is for one year, with the option to renew for 2-3 years, given satisfactory performance and available funding. The position is available immediately and applicants will be considered on a rolling basis. Paul Sajda, Ph.D. Professor Departments of Biomedical Engineering, Electrical Engineering and Radiology Columbia University 351 Engineering Terrace Building, Mail Code 8904 1210 Amsterdam Avenue New York, NY 10027 tel: (212) 854-5279 fax: (212) 854-8725 email: ps629(a)columbia.edu http://liinc.bme.columbia.edu <http://liinc.bme.columbia.edu/> Editor-in-Chief IEEE Transactions on Neural Systems and Rehabilitation Engineering email: editortnsre(a)gmail.com http://tnsre.bme.columbia.edu <http://tnsre.bme.columbia.edu/> Chair, IEEE BRAIN Initiative http://brain.ieee.org <http://brain.ieee.org/>

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CALL FOR LATE-BREAKING PAPERS for 2nd Int. Workshop on Machine learning, Optimization & big Data - MOD 2016 - Paper submission: May 28, 2016
by Giuseppe Nicosia May 16, 2016

May 16, 2016

CALL FOR LATE-BREAKING PAPERS for 2nd Int. Workshop on Machine learning, Optimization & big Data - MOD 2016 - Paper submission: May 28, 2016 [Apologies if you receive multiple copies of this announcement] [Please kindly help forward it to potentially interested attendees] 2nd International Workshop on Machine learning, Optimization and big Data - MOD 2016 An Interdisciplinary Workshop: Machine Learning, Optimization and Data Science without Borders, Volterra (Pisa) -Tuscany, August 26-29, 2016 http://www.taosciences.it/mod/ <http://www.taosciences.it/mod/> modworkshop2016(a)gmail.com <mailto:modworkshop2016@gmail.com> CALL FOR PAPERS Paper submission deadline: May 28, 2016 http://www.taosciences.it/mod/call-for-papers/ <http://www.taosciences.it/mod/call-for-papers/> https://easychair.org/conferences/?conf=mod2016 <https://easychair.org/conferences/?conf=mod2016> KEYNOTE SPEAKERS + Nello Cristianini, Bristol University, UK + George Michailidis, University of Florida, USA + Stephen H. Muggleton, Imperial College London, UK + Panos Pardalos, University of Florida, USA Other Keynote Speakers will be announced soon POST-PROCEEDINGS by Lecture Notes in Computer Science - Springer JOURNAL SPECIAL ISSUE Computational Optimization and Applications Journal - Springer INDUSTRIAL PANEL + Amr Awadallah, Founder and CTO at Cloudera, San Francisco, USA + Giovanni Giuffrida, CEO and co-founder at Neodata Group, Italy + Andy Petrella, Data Scientist and co-founder at Data Fellas, Liège, Belgium + Daniele Quercia, Head of Social Dynamics group at Bell Labs, Cambridge, UK + Fabrizio Silvestri, Principal Research Scientist at Yahoo London, UK TUTORIALS + Model Selection and Error Estimation Without the Agonizing Pain”, Luca Oneto and Davide Anguita, DIBRIS – Polytechnic School – University of Genova, Italy + “Information Geometry: Applications in Machine Learning and Stochastic Optimization”, Luigi Malagò, Department of Electrical and Electronic Engineering, Shinshu University, Nagano, Japan SPECIAL SESSIONS + Deep Learning: Theory, Architectures, Algorithms and Applications + Data-driven Algorithmics – Data for informed decisions + Multi-Objective Optimization Algorithms The MOD 2016 workshop will consist of four days of workshop sessions and special sessions. We invite submissions of papers, abstracts and posters on all topics related to Machine learning, Optimization and Big Data including real-world applications for the workshop proceedings. MOD 2016 Types of Submissions When submitting a paper to MOD 2016, authors are required to select one of the following four types of papers: + Long paper: original novel and unpublished work (max. 12 pages in Springer LNCS format); + Short paper: an extended abstract of novel work (max. 4 pages); + Work for oral presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant and which may solicit fruitful discussion at the workshop; + Work for poster presentation only. The poster format for the presentation is A0 (118.9 cm high and 84.1 cm wide, respectively 46.8 x 33.1 inch). For research work which is relevant and which may solicit fruitful discussion at the workshop. MOD 2016 Post-Proceedings All accepted long papers will be published in a volume of the series 'Lecture Notes in Computer Science' from Springer after the Workshop. Instructions for preparing and submitting the final versions (camera-ready papers) of all accepted papers will be available later on. All the other papers (short papers, abstract of the oral presentations, poster presentations) will be published on the MOD 2016 web site. Journal Special Issue on Computational Optimization and Applications Journal The top 8-10 accepted articles will have the opportunity to publish a revised and expanded version of their conference paper in the Computational Optimization and Applications Journal – Springer. MOD 2016 Submission System All papers must be submitted using EasyChair: https://easychair.org/conferences/?conf=mod2016 <https://easychair.org/conferences/?conf=mod2016> The deadline is May 28, 2016 Important Dates for the MOD 2016 Post-Proceedings + Paper Submission Deadline: May 28, 2016 + Decision Notification to Authors: June 10, 2016 + Camera Ready Submission Deadline: June 30, 2016 + Deadline for early Registration as Presenting Author: July 10, 2016 + MOD 2016 Workshop: August 26-29, 2016 MOD 2016 Program Committee The current MOD 2016 Program Committee includes 300+ confirmed Program Committee members: http://www.taosciences.it/mod/program-committee/ <http://www.taosciences.it/mod/program-committee/> Any questions regarding the submission process can be sent to workshop organizers: modworkshop2016(a)gmail.com <mailto:modworkshop2016@gmail.com> We look forward to seeing you in Tuscany! Giovanni Giuffrida, Giuseppe Nicosia & Panos Pardalos - MOD 2016 Chairs. http://www.taosciences.it/mod/ <http://www.taosciences.it/mod/> modworkshop2016(a)gmail.com <mailto:modworkshop2016@gmail.com> MOD 2015 Edition: http://www.taosciences.it/mod-2015/MOD <http://www.taosciences.it/mod-2015/MOD> 2015 MOD 2015 Keynote Speakers: Vipin Kumar, University of Minnesota, USA Panos Pardalos, University of Florida, USA Tomaso Poggio, MIT, USA -- Giuseppe Nicosia, Ph.D. Associate Professor of Computer Engineering Dept of Mathematics & Computer Science University of Catania Viale A. Doria, 6 - 95125 Catania, Italy P +39 095 7383048 nicosia(a)dmi.unict.it http://www.dmi.unict.it/nicosia ================================================================== 3rd International Synthetic & Systems Biology Summer School - SSBSS 2016 * Biology meets Computer Science & Engineering * July 8-14, 2016 - Volterra (Pisa), Tuscany, Italy http://www.taosciences.it/ssbss/ ================================================================== 2nd International Workshop on Machine learning, Optimization & big Data - MOD 2016 August 26-29, 2016 - Volterra (Pisa), Tuscany, Italy http://www.taosciences.it/mod/ ==================================================================

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[CALL FOR PAPERS] Special Session on Computational Intelligence Techniques and Applications at TENCON 2016
by Teng Teck Hou May 15, 2016

May 15, 2016

[Apologies for cross-postings] ############################################### CALL FOR PAPERS TENCON 2016 Special Session - Computational Intelligence Techniques and Applications November 22 - 25, 2016, Marina Bay Sands, Singapore http://www.tencon2016.org ############################################### Computational intelligence (CI) techniques encompass good-old-fashion AI (GOFAI), soft computing and deep learning techniques. The ebb and flow of these CI techniques closely tracks the technology cycles. CI techniques such as evolutionary techniques, swarm intelligence, artificial neural network (ANN) and fuzzy logic were mere research topics for decades before suitable computing hardware is available for their use in a broad spectrum of industrial and consumer applications. Recent computing hardware and sensor technologies have also fast-tracked the research and development of many emerging CI techniques. Held annually in IEEE Region 10 since 1980, TENCON has been an important multi-disciplinary platform of IEEE Region 10 for sharing and discussing new and emerging ideas. The theme for TENCON 2016 is Future Technologies for Smart Nation. Therefore, this TENCON'16 Special Session on Computational Intelligence Techniques and Applications for Smart Nation invites all researchers to submit papers on their use of CI techniques for enabling Smart Nation. ##################Important Date################## - Open for Submission March 1st, 2016 - Submission Deadline May, 30th, 2016 - Notice of Acceptance August 1st, 2016 - Final Manuscript Submission September 10th, 2016 ################################################## ##################Topics and Areas of Interest################## This special session solicits papers addressing original works in topics and areas of interest including, but are not limited to: - Fundamental CI Methodologies o Deep learning techniques o Reinforcement learning techniques o Supervised learning techniques o Unsupervised learning techniques o Evolutionary computing techniques o Artificial Neural Networks o Swarm Intelligence o Graphical Models o Bayesian Statistics - CI in Real-World Applications o Time Series Prediction o Sensor Networks o Recommender Systems o Robotic Systems o Intelligent Transportation System o Big Data for Smart Nation o Pattern Recognition o Computer Vision and Image Understanding o Intelligent Control Systems ################################################################ ############Paper Submission and Publication############ - The best papers will be selected from the contributed papers for awards. - The presented papers will be submitted to IEEE Xplore which is indexed by major databases. - Full papers can have up to four pages in double-column IEEE Conference format. - At least one author of an accepted submission to the conference should register with a regular fee to present their work at the conference. - Any enquiry on the submission of papers can be made to Teck-Hou Teng at thteng(a)smu.edu.sg ######################################################## ##################Organizing Committee################## - Teck-Hou Teng, Singapore Management University - Justin Dauwels, Nanyang Technological University - Erdal Kayacan, Nanyang Technological University ########################################################

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Call for Papers: 8th International Conference on Brain Inspired Cognitive Systems (BICS 2016), Beijing, 28-30 Nov 2016: http://bii.ia.ac.cn/bics-2016/index.html
by Dr Amir Hussain May 15, 2016

May 15, 2016

CALL FOR PAPERS (Deadline: 10 June 2016) and SPECIAL SESSION/WORKSHOP PROPOSALS (Deadline June 1, 2016): (with apologies for any cross postings - please forward to any interested colleagues, thank you) The 8th International Conference on Brain-Inspired Cognitive Systems (BICS 2016), is being organized by the Chinese Academy of Sciences (Research Centre for Brain-Inspired Intelligence, Institute of Automation) in Beijing, November 28-30, 2016 - in partnership with the University of Stirling (Scotland, UK), and with technical co-sponsorship of the IEEE Computational Intelligence Society: http://bii.ia.ac.cn/bics-2016/index.html BICS 2016 is being held in Beijing, China, as a sequel of BICS 2004 - 2015. The first BICS 2004 was held in Stirling, Scotland, UK and the last BICS 2015 in Hefei, Anhui, China. BICS 2016 aims to provide a high-level international forum for scientists, engineers, and educators to present the state-of-the-art in brain-inspired cognitive systems research and applications in diverse fields. It will bring together leading scientists and engineers who use analytic, syntactic and computational methods both to understand the prodigious processing properties of biological systems and, specifically, of the brain, and to exploit such knowledge to advance computational methods towards ever higher levels of cognitive competence. The conference will feature plenary lectures given by world renowned scholars, regular sessions with broad coverage, and special sessions/workshops focusing on popular and timely topics. All accepted BICS 2016 papers will be published in conference proceedings of the Springer LNAI Book series. Selected papers will be published in a special issue of the leading (ISI SCI indexed) Cognitive Computation Journal (published by Springer Nature: http://Springer.com/12559 - first five year ISI impact factor: 1.73) BICS'2016 TOPICS OF INTEREST: These include, but are not limited to the following: 1. Biologically Inspired Systems (BICS-BIS) - Brain inspired systems - Brain inspired vision - Brain inspired audition and sound processing - Brain inspired other sensory modalities - Brain inspired motion processing - Brain inspired robotics - Brain inspired adaptive and control systems - Brain inspired evolutionary systems - Brain inspired oscillatory systems - Brain inspired signal processing - Brain inspired learning - Neuromorphic systems 2. Cognitive Neuroscience (BICS-CNS) - Cognitive neuroscience - Cognitive neuroscience of vision - Cognitive neuroscience of non-vision sensory modalities - Cognitive neuroscience of volition - Systems neuroscience - Attentional mechanisms - Affective systems - Language - Cortical models - Sub-cortical models - Cerebellar models - Neural correlates 3. Models of Consciousness (BICS-MoC) - World awareness - Self-awareness - Global workspace theory - Imagination - Qualia models - Virtual machine approaches - Formal models fo consciousness - Control theoretical models - Developmental/Infant models - Will and volition - Emotion and affect - Philosophical implications - Neurophysiological grounding - Enactive approaches - Heterophenomenology - Analyitic/Synthetic phenomenology 4. Neural Computation (BICS-NC) - Neuro-computational systems - Hybrid neural systems - Neural learning - Neural control systems - Neural signal processing - Architectures of neural computation - Neural devices - Neural perception and pattern classifiers - Neuro-fuzzy systems - Evolutionary neural networks - Biological neural network models - Applications - Others BICS 2016 SPECIAL SESSIONS AND WORKSHOPS: CALL FOR PROPOSALS To enhance the technical program and open the door to more specific cutting-edge topics and areas related to Brain-inspired Cognitive Systems, BICS 2016 welcomes proposals for timely Special Sessions and Workshops (which will be included in the Conference programme, in addition to regular sessions). Special sessions/workshops can cover subjects or cross-subjects belonging to any relevant BICS topic(s) of interest, or novel topic(s) related to BICS topics of interest. Papers submitted for special sessions and workshops will be peer-reviewed with the same criteria as for regular sessions. All proposals for BICS2016 Special Sessions and Workshops should contain the following information: -Title of the special session or workshop -Names, affiliations, email addresses and short bios of proposers -Description of the proposed session or workshop (including aims and scope) -List of 6-10 potential contributors Researchers interested in organizing Special Sessions/Workshops are invited to submit a formal proposal, which will be evaluated based on the timeliness of the topic, its uniqueness, and qualifications of the proposers. A tentative accept/reject decision on the proposal will be sent to proposers within one week after its receipt by the BICS 2016 Special Sessions and Workshops Chair. Accepted Special Sessions/Workshops will be listed on the website. Formal proposals (including any queries) should be submitted to the BICS 2016 Special Sessions & Workshops Chair: Dr. Jingpeng Li ( jli(a)cs.stir.ac.uk ). Special Sessions/Workshops proposals deadline: 1 June 2016 PAPER SUBMISSION: Papers should be limited to 8-10 pages in Springer LNCS format. Details can be found in http://bii.ia.ac.cn/bics-2016/submission.htm To submit, please login at https://easychair.org/conferences/?conf=bics2016 IMPORTANT DATES: Paper submission deadline: June 10, 2016 Acceptance notification: August 10, 2016 Camera-ready papers due: September 10, 2016 Conference dates: November 28-30, 2016 Special Session/Workshop proposals deadline: June 1 , 2016 (acceptance notification: 8 June 2016) BICS 2016 ORGANIZING COMMITTEE: General Chairs: Cheng-Lin Liu (Institute of Automation, Chinese Academy of Sciences, China) Amir Hussain (University of Stirling, Scotland, UK) Program Chairs: Bin Luo (Anhui University, China) Kay Chen Tan (National University of Singapore, Singapore) Publicity Chairs: Cesare Alippi (Politecnico di Milano, Italy) Haibo He (University of Rhode Island, USA) Hussein Abbass (University of New South Wales - Canberra - Australia) Erik Cambria (NTU, Singapore) Local Organization Chair: Yi Zeng (Institute of Automation, Chinese Academy of Sciences, China) Publication Chair: Zhaoxiang Zhang (Institute of Automation, Chinese Academy of Sciences, China) Special Sessions and Workshops Chair: Jingpeng Li (University of Stirling, Scotland, UK) Secretariat: bics2016(a)ia.ac.cn We looking forward to seeing you at BICS'2016! -- The University achieved an overall 5 stars in the QS World University Rankings 2015 The University of Stirling is a charity registered in Scotland, number SC 011159.

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Reminder: Summer School "Advanced Scientific Programming in Python" in Reading, UK, September 5--11, 2016
by Jakob Jordan May 13, 2016

May 13, 2016

Reminder: Deadline for application is 23:59 UTC, May 15, 2016. Advanced Scientific Programming in Python ========================================= a Summer School by the G-Node, and the Centre for Integrative Neuroscience and Neurodynamics, School of Psychology and Clinical Language Sciences, University of Reading, UK Scientists spend more and more time writing, maintaining, and debugging software. While techniques for doing this efficiently have evolved, only few scientists have been trained to use them. As a result, instead of doing their research, they spend far too much time writing deficient code and reinventing the wheel. In this course we will present a selection of advanced programming techniques and best practices which are standard in the industry, but especially tailored to the needs of a programming scientist. Lectures are devised to be interactive and to give the students enough time to acquire direct hands-on experience with the materials. Students will work in pairs throughout the school and will team up to practice the newly learned skills in a real programming project — an entertaining computer game. We use the Python programming language for the entire course. Python works as a simple programming language for beginners, but more importantly, it also works great in scientific simulations and data analysis. We show how clean language design, ease of extensibility, and the great wealth of open source libraries for scientific computing and data visualization are driving Python to become a standard tool for the programming scientist. This school is targeted at Master or PhD students and Post-docs from all areas of science. Competence in Python or in another language such as Java, C/C++, MATLAB, or Mathematica is absolutely required. Basic knowledge of Python and of a version control system such as git, subversion, mercurial, or bazaar is assumed. Participants without any prior experience with Python and/or git should work through the proposed introductory material before the course. We are striving hard to get a pool of students which is international and gender-balanced. You can apply online: https://python.g-node.org Application deadline: 23:59 UTC, May 15, 2016. Be sure to read the FAQ before applying. Participation is for free, i.e. no fee is charged! Participants however should take care of travel, living, and accommodation expenses by themselves. Travel grants may be available. Date & Location =============== September 5—11, 2016. Reading, UK Program ======= - Best Programming Practices • Best practices for scientific programming • Version control with git and how to contribute to open source projects with GitHub • Best practices in data visualization - Software Carpentry • Test-driven development • Debugging with a debuggger • Profiling code - Scientific Tools for Python • Advanced NumPy - Advanced Python • Decorators • Context managers • Generators - The Quest for Speed • Writing parallel applications • Interfacing to C with Cython • Memory-bound problems and memory profiling • Data containers: storage and fast access to large data - Practical Software Development • Group project Preliminary Faculty =================== • Francesc Alted, freelance consultant, author of PyTables, Spain • Pietro Berkes, Enthought Inc., Cambridge, UK • Zbigniew Jędrzejewski-Szmek, Krasnow Institute, George Mason University, Fairfax, VA, USA • Eilif Muller, Blue Brain Project, École Polytechnique Fédérale de Lausanne, Switzerland • Juan Nunez-Iglesias, Victorian Life Sciences Computation Initiative, University of Melbourne, Australia • Rike-Benjamin Schuppner, Institute for Theoretical Biology, Humboldt-Universität zu Berlin, Germany • Bartosz Teleńczuk, European Institute for Theoretical Neuroscience, CNRS, Paris, France • Stéfan van der Walt, Berkeley Institute for Data Science, UC Berkeley, CA, USA • Nelle Varoquaux, Centre for Computational Biology Mines ParisTech, Institut Curie, U900 INSERM, Paris, France • Tiziano Zito, freelance consultant, Germany Organizers ========== For the German Neuroinformatics Node of the INCF (G-Node) Germany: • Tiziano Zito, freelance consultant, Germany • Zbigniew Jędrzejewski-Szmek, Krasnow Institute, George Mason University, Fairfax, USA • Jakob Jordan, Institute of Neuroscience and Medicine (INM-6), Forschungszentrum Jülich GmbH, Germany For the Centre for Integrative Neuroscience and Neurodynamics, School of Psychology and Clinical Language Sciences, University of Reading UK: • Etienne Roesch, Centre for Integrative Neuroscience and Neurodynamics, University of Reading, UK Website: https://python.g-node.org Contact: python-info(a)g-node.org -- Jakob Jordan Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience Jülich Research Centre and JARA Jülich, Germany tel.: +49 2461 61-96450 http://www.csn.fz-juelich.de/ ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------

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Postdoc Position in Computational Neuroscience, Max Planck Institute, Leipzig, Germany
by Katharina von Kriegstein May 13, 2016

May 13, 2016

Applications are welcomed for a postdoctoral research position at the Max Planck Institute for Human Cognitive and Brain Sciences (MPI-CBS) in Leipzig, Germany in collaboration with the Technical University Dresden, Germany. The objective of the postdoctoral research project is to use computational modelling and neuroimaging to work towards a novel model for cortico-subcortical interactions for human communication signals. The project is funded by the ERC-consolidator grant SENSOCOM (http://cordis.europa.eu/project/rcn/199655_en.html) The position will be jointly supervised by Katharina von Kriegstein at the MPI-CBS and Stefan Kiebel at the TU Dresden. The MPI-CBS offers a unique research environment with a 7.0 T MRI scanner, several 3.0 T MRI scanners, a 306 channels MEG system, TMS/tDCS laboratories, several EEG suites, and eye-tracking labs. All facilities and data analyses are supported by experienced IT specialists and physicists. The TU Dresden is one out of eleven German Universities of Excellence. It houses a state-of-the art neuroimaging centre with a strong focus on computational modelling and access to the TU Dresden high-performance computing clusters. Besides an excellent infrastructure, both centres offer an international and friendly environment with researchers from diverse backgrounds. The position is ideal for candidates interested in research at the interface between computational modelling and experimental neuroimaging. The candidates must have a PhD (or equivalent) in computational neuroscience, experimental psychology, or a related field, and should be able to demonstrate a consistently outstanding academic record, including publications. The ideal candidate will have expertise in computational neuroscience, physics, mathematics, or similar with a strong interest in implementing computational models (e.g., Bayesian filtering, hierarchical dynamic models, predictive coding) and testing these with neuroimaging experiments. The starting date for the position is flexible. Initially for two years, the position offers the possibility of extension for up to four years. Salary depends on experience and is based on regulations of the Max Planck Society. To apply, please include all documents in one PDF-file in the following order: CV, contact information of two referees, a brief statement describing your personal qualifications and future research interests, copies of up to three of your publications. Applications with the subject heading "CM 16 PD" should be sent via email to: personal(a)cbs.mpg.de. Closing date for applications is the 12th June 2016. Informal enquiries regarding the post should be directed to: Prof. Dr. Katharina von Kriegstein (kriegstein(a)cbs.mpg.de) For more information about the groups see: Prof. Katharina von Kriegstein: http://www.cbs.mpg.de/independent-research-groups/human-communication Prof. Stefan Kiebel: https://tu-dresden.de/die_tu_dresden/fakultaeten/fakultaet_mathematik_und_n… A link to the position description is available here: http://www.cbs.mpg.de/454795/job_full_offer_10498685?c=7390 The MPI-CBS is an equal opportunities employer, committed to the advancement of individuals without regard to ethnicity, religion, gender, or disability. --- Katharina von Kriegstein Max Planck Research Group Leader Max Planck Institute for Human Cognitive and Brain Sciences Stephanstr. 1A, 04103 Leipzig, Germany Professor of Cognitive and Clinical Neuroscience Humboldt University of Berlin Rudower Chaussee 18, 12489 Berlin, Germany Phone +49 (0) 341-9940-2476 Fax +49 (0) 341-9940-2448 http://www.cbs.mpg.de/independent-research-groups/human-communication

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CFP ==> AIPR2016 [IEEE] - Poland - September
by Grace Allas May 12, 2016

May 12, 2016

*** CALL FOR PAPERS *** All registered papers will be submitted to IEEE for potential inclusion to IEEE Xplore The Third International Conference on Artificial Intelligence and Pattern Recognition (AIPR2016) Lodz University of Technology, Lodz, Poland September 19-21, 2016 http://sdiwc.net/conferences/aipr2016/ IMPORTANT DATES Submission Deadline : Open from now until August 19, 2016 Notification of Acceptance : 4-7 weeks from the submission date Camera Ready Submission : Open from now until September 09, 2016 Registration Deadline : Open from now until September 09, 2016 --------------------------------------------------- RESEARCH TOPICS ARE NOT LIMITED TO: • Agent-based Systems • AI and Evolutionary Algorithms • Ant Colony Optimization • Approximate Reasoning • Artificial Immune Systems • Artificial Intelligence in Modeling and Simulation • Artificial Intelligence in Scheduling and Optimization • Artificial Life • Automated Problem Solving • Bioinformatics and Computational Biology • Biometric Authentication • Brain-machine Interfaces • Camera Networks and Vision • Case Studies • Cognitive Systems and Applications • Collective Intelligence • Computer Vision • Data Mining • Decision Support Systems • Differential Evolution • Distributed AI Systems and Architectures • Emerging Technologies • Evolutionary Data Mining • Evolutionary Design • Evolutionary Scheduling • Expert Systems • Fuzzy Computing with Words • Fuzzy Control and Intelligent Systems • Fuzzy Decision Making and Decision Support Systems • Fuzzy Logic and Fuzzy Set Theory • Fuzzy Optimization and design • Fuzzy Pattern Recognition • Fuzzy Systems for Robotics • Game Theory • Hardware Implementations • Heuristic Searching Methods • Integration of AI With Other Technologies • Intelligent Agents • Intelligent Data Mining and Farming • Intelligent Databases • Intelligent Information Systems • Intelligent Networks • Intelligent Tutoring Systems • Intelligent User Interface • Intelligent Web-based Business • Knowledge Engineering • Knowledge Networks and Management • Knowledge-based Recognition • Knowledge-intensive Problem Solving Techniques • Machine Learning • Modeling and Identification • Molecular and Quantum Computing • Motion and Tracking Algorithms and Orientation Estimation • Multi-agent Systems • Multimedia Systems and Applications • Natural Language Processing • Neural Network Theory, Architectures and Applications • Novel Noise Reduction Algorithms • Particle Swarm Optimization • Printing Technologies • Robotics and Related Fields • Rough Sets and Rough Data Analysis • Segmentation Techniques • Signal and Speech Processing • Social Impact of AI • Software Tools for AI • Speech Understanding • Structural and Syntactic Pattern Recognition • Supervised and Unsupervised Learning • Type-2 Fuzzy Logic • Various Applications • Watermarking Methods and Protection • Web Intelligence ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ All the registered papers will be submitted to IEEE for potential inclusion to IEEE Xplore as well as other Abstracting and Indexing (A&I) databases. Paper Submission: http://sdiwc.net/conferences/aipr2016/openconf/openconf.php Write us for more details: aipr16(a)diwc.net NOTE: Please see other co-conferences: - The Third International Conference on Computer Science, Computer Engineering, and Education Technologies (CSCEET2016) http://sdiwc.net/conferences/csceet2016/ - The International Conference Numerical Methods and Applied Mathematics (NMAM2016) http://sdiwc.net/conferences/nmam2016/ ---------------------------------------

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