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Faculty position in Computational Neuroscience / Cognitive Science, Cambridge
by Máté Lengyel 10 Oct '14

10 Oct '14

Faculty position in Computational Neuroscience / Cognitive Science Department of Engineering, University of Cambridge, UK Applications are invited for a University Lectureship / Senior Lectureship (~ US Assistant / Associate Professor equivalent) in the broad area of Computational Neuroscience, including Computational Cognitive Science in the Computational and Biological Learning Lab (cbl.eng.cam.ac.uk). CBL combines expertise in computational neuroscience and cognitive science (Daniel Wolpert, Mate Lengyel, Rich Turner) and machine learning (Zoubin Ghahramani, Carl Rasmussen). We particularly encourage applicants who would complement our current research activities. The successful applicant’s research should use computational or theoretical approaches, and may combine these approaches with behavioural experiments. Informal enquiries are welcome to: Daniel Wolpert (wolpert(a)eng.cam.ac.uk) Mate Lengyel (m.lengyel(a)eng.cam.ac.uk) Richard Turner (ret26(a)cam.ac.uk) Timeline: - Closing date of applications: Friday November 28th - Interviews: February, 2015 Further information and details of the application process can be found at http://cbl.eng.cam.ac.uk/Public/VacancyFaculty2014

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PostDoc Openings - New techniques for vision-assisted speech processing
by Chiara Bartolozzi 09 Oct '14

09 Oct '14

Istituto Italiano di Tecnologia (http://www.iit.it<http://www.iit.it/undefined/>) is a private Foundation with the objective of promoting Italy's technological development and higher education in science and technology. Research at IIT is carried out in highly innovative scientific fields with state-of-the-art technology. http://www.iit.it/ iCub Facility (http://www.iit.it/icub) and Robotics, Brain and Cognitive Sciences (http://www.iit.it/rbcs) Departments are looking for 2 post-docs to be involved in the H2020 project EcoMode funded by the European Commission under the H2020-ICT-2014-1 call (topic ICT-22-2014 - Multimodal and natural computer interaction). Job Description: Robust automatic speech recognition in realistic environments for human-robot interaction, where speech is noisy and distant, is still a challenging task. Vision can be used to increase speech recognition robustness by adding complementary speech-production related information. In this project visual information will be provided by an event-driven (ED) camera. ED vision sensors transmit information as soon as a change occurs in their visual field, achieving incredibly high temporal resolution, coupled with extremely low data rate and automatic segmentation of significant events. In an audio-visual speech recognition setting ED vision can not only provide new additional visual information to the speech recognizer, but also drive the temporal processing of speech by locating (in the temporal dimension) visual events related to speech production landmarks. The goal of the proposed research is the exploitation of highly dynamical information from ED vision sensors for robust speech processing. The temporal information provided by EDC sensors will allow to experiment with new models of speech temporal dynamics based on events as opposed to the typical fixed-length segments (i.e. frames). In this context, we are looking for 2 highly motivated Post-docs, respectively tackling vision (Research Challenge 1) and speech processing (Research Challenge 2), as oulined herebelow: Research Challenge 1 (vision @ iCub facility - BC 69721): the post-doc will mostly work on the detection of features from event-driven cameras instrumental for improving speech recognition (e.g. lips closure, protrusion, shape, etc…). The temporal features extracted from the visual signal will be used for crossmodal event-driven speech segmentation that will drive the processing of speech. In the attempt to increase the robustness to acoustic noise and atypical speech, acoustic and visual features will be combined to recover phonetic gestures of the inner vocal tract (articulatory features). Research Challenge 2 (speech processing @ RBCS - BC 69724): the post-doc will mainly develop a novel speech recognition system based on visual, acoustic and (recovered) articulatory features, that will be targeted for users with mild speech impairments. The temporal information provided by EDC sensors will allow to experiment with new strategies to model the temporal dynamics of normal and atypical speech. The main outcome of the project will be an audio-visual speech recognition system that robustly recognizes the most relevant commands (key phrases) delivered by users to devices in real-word usage scenarios. The resulting methods for improving speech recognition will be exploited for the implementation of a tablet with robust speech processing. Given the automatic adaptation of the speech processing to the speech production rhythm, the speech recognition system will target speakers with mild speech impairments, specifically subjects with atypical speech flow and rhythm, typical of some disabilities and of the ageing population. The same approach will then be applied to the humanoid robot iCub to improve its interaction with humans in cooperative tasks. Skills: We are looking for highly motivated people and inquisitive minds with the curiosity to use a new and challenging technology that requires a rethinking of visual and speech processing to achieve a high payoff in terms of speed, efficiency and robustness. The candidates we are looking for should also have the following additional skills: * PhD in Computer Science, Robotics, Engineering (or equivalent) with a background in machine learning, signal processing or related areas; * ability to analyze, improve and propose new algorithms; * Good knowledge of C, C++ programming languages with proven experience. Team-work, PhD tutoring and general lab-related activities are expected An internationally competitive salary depending on experience will be offered. Please note that these positions are pending the signature of the grant agreement with the European Commission (expected start date in early 2015) How to apply: Challenge 1: Send applications and informal enquires to jobpost.69721(a)icub.iit.it<mailto:jobpost.69721@icub.iit.it> Challenge 2: Send applications and informal enquires to jobpost.69724(a)rbcs.iit.it<mailto:jobpost.69724@rbcs.iit.it> The application should include a curriculum vitae listing all publications and pdf files of the most representative publications (maximum 2) If possible, please also indicate three independent reference persons. Presumed Starting Date: Challenge 1: January 2015 (but later starts are also possible). Challenge 2: June 2015 (but later starts are also possible). Evaluation of the candidates starts immediately and officially closes on November 10th, 2014. References: Lichtsteiner, P., Posch, C., & Delbruck, T. (2008). A 128×128 120 dB 15 μs latency asynchronous temporal contrast vision sensor. Solid-State Circuits, IEEE Journal of, 43(2), 566-576. Rea, F., Metta, G., & Bartolozzi, C. (2013). Event-driven visual attention for the humanoid robot iCub. Frontiers in neuroscience, 7. Benosman, R.; Clercq, C.; Lagorce, X.; Sio-Hoi Ieng; Bartolozzi, C., "Event-Based Visual Flow," Neural Networks and Learning Systems, IEEE Transactions on , vol.25, no.2, pp.407,417, Feb. 2014, doi: 10.1109/TNNLS.2013.2273537 Potamianos, G. Neti, C. Gravier, G. Garg, A. and Senior, A.W. (2003) “Recent Advances in the Automatic Recognition of Audiovisual Speech” in Proceedings of the IEEE Vol. 91 pp. 1306-1326 Glass, J. (2003)“A probabilistic framework for segment-based speech recognition”, Computer Speech and Language, vol. 17, pp. 137-152. Badino, L., Canevari, C., Fadiga, L., Metta, G. "Deep-Level Acoustic-to-Articulatory Mapping for DBN-HMM Based Phone Recognition", in IEEE SLT 2012, Miami, Florida, 2012 In order to comply with Italian law (art. 23 of Privacy Law of the Italian Legislative Decree n. 196/03), the candidate is kindly asked to give his/her consent to allow IIT to process his/her personal data. We inform you that the information you provide will be solely used for the purpose of assessing your professional profile to meet the requirements of IIT. Your data will be processed by IIT, with its headquarters in Genoa, Via Morego, 30, acting as the Data Holder, using computer and paper-based means, observing the rules on the protection of personal data, including those relating to the security of data. Please also note that, pursuant to art. 7 of Legislative Decree 196/2003, you may exercise your rights at any time as a party concerned by contacting the Data Manager. Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce. Chiara Bartolozzi Researcher Istituto Italiano di Tecnologia Via Morego, 30 16163 Genoa, Italy Ph: +39 010 7178-1474

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Physics of Neural Systems focus topic at the 2015 American Physical Society March Meeting, March 2-6, San Antonio, TX
by Ilya Nemenman 08 Oct '14

08 Oct '14

Dear Colleagues: The 2015 American Physical Society (APS) March meeting (March 2-6, 2015; San Antonio, TX) will emphasize “Physics of Neural Systems” as one of the focus topics supported by the Division of Biological Physics. We expect multiple sessions resulting from this focus topic, addressing recent advances in understanding of the structure and the dynamics of neural circuits responsible for sensing, memory, and motor output. Arguably, in the last few years, we have found out more about the dynamics of neural circuits than we have in all of the previous decades combined. Thus we solicit submissions of contributed presentations to the March meeting, focusing on a broad range of topics on the intersection of physics and neuroscience, such as quantitative experimental protocols, modeling of neural dynamics, analysis of collective computation in neural circuits, and others. The neural focus at the meeting will be anchored by talks by Tatyana Sharpee (Salk Institute) and Christopher Fang-Yen (University of Pennsylvania), among others. March meeting abstract submission website: http://www.aps.org/meetings/march/scientific/index.cfm Abstract submission deadline: November 14, 2014, 5:00pm EST While the actual timing of the neuro sessions at the meeting will not be known until December and will depend on the number of qualified submissions, the sessions will be scheduled not to conflict with other computational neuroscience meetings, such as COSYNE. APS March meeting is the largest physics meeting in the world, attracting about 10,000 physicists. At the meeting, the APS Division of Biological Physics supports one of the largest and scientifically diverse programs on the interface of physics and biology, from molecular and cellular biophysics, to computational neuroscience and population dynamics, featuring typically more than 500 talks every year. We are looking forward to receiving your abstracts. If you have any questions about neuroscience at the March Meeting, please don’t hesitate to contact Ilya Nemenman (ilya.nemenman(a)emory.edu) Sincerely, Ilya Nemenman Associate Professor of Physics and Biology Emory University, Atlanta, GA and Vice-Chair, Division of Biological Physics (DBIO) American Physical Society (APS) http://nemenmanlab.org Biophysicist? Join APS/DBIO and come to the March Meeting! Ilya Nemenman Associate Professor of Physics and Biology Emory University, Atlanta, GA and Vice-Chair, Division of Biological Physics (DBIO) American Physical Society (APS) http://nemenmanlab.org Biophysicist? Join APS/DBIO and come to the March Meeting!

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Open Access Journal with a free publication - Call for papers
by subbotin 07 Oct '14

07 Oct '14

Dear Сolleagues, I invite you to send your articles to the journal "Radio Electronics, Computer Science, Control", published by Zaporizhzhya National Technical University (Zaporizhzhya, Ukraine) since 1999. The articles are published and peer-reviewed free of charge. The journal provides free on-line access to full text publications. The articles given a unique digital object identifier (DOI). The journal is abstracted in leading international and national abstractig journals and scientometric databases, and also placed to the digital archives and libraries with free on-line access (INSPEC, DOI, ISSN, EBSCO, eLibrary.ru, Іndex Copernicus, Ulrich’s Periodical Directory, WorldCat, Google Scholar, DOAJ, Academic Keys, ADAT, DRJI, JournalTOCs, MIAR, SHERPA/RoMEO, BASE, CiteFactor, EZB, Impactfactor.pl, Journalindex.net, OAIster, OAJI, Research Bible, SIS, UIF, ZDB, VINITI, Ukrainica Naukova, Djerelo, URAN et al.). The journal is included in the list of the scientific specialized periodicals of Ukraine where the results of dissertations for Ph. D and D. Sc. in Technical Sciences, Physics and Mathematics сan be published. Printed versions of of the journal are distributed among leading libraries, as well as by subscription. The formatting rules and templates of articles, as well as accompanying documents to them are presented on the journal website http://ric.zntu.edu.ua/. Sincerely yours, Sergey Subbotin, Deputy Chief Editor, Dr. hab. Sc., Professor of Department of software tools of Zaporizhzhya National Technical University. E-mail: subbotin(a)zntu.edu.ua, subbotin.csit(a)gmail.com

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Postdoctoral position in machine learning and computer vision for biomedical data analysis
by Diego Sona 07 Oct '14

07 Oct '14

The Pattern Analysis and Computer Vision department (PAVIS - http://www.iit.it/pavis.html) at Istituto Italiano di Tecnologia is looking for a highly qualified researcher in the field of Computer Vision, Pattern Recognition, Machine Learning, Image Analysis with applications to Biomedical Data Analysis The position is available immediately and until filled. Evidence of top quality research on the specified areas in the form of published papers is mandatory. The salary will be commensurate to qualification and experience and in line to that of the research institutes in the rest of Europe. Further info can be found at http://iit.it/en/openings/research-departments/pattern-analysis-a-computer-… --------------------------------------------------------- Dr. Diego Sona Pattern Analysis & Computer Vision (PAVIS) Istituto Italiano di Tecnologia (IIT) Via Morego 30, 16163, Genova, Italy Phone: +39 010 71781 819 E-mail: diego.sona(a)iit.it www.iit.it/pavis.html ---------------------------------------------------------

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Workshop on Networks
by Ermentrout, G Bard 06 Oct '14

06 Oct '14

Dear Colleagues, It is our pleasure to call your attention to a workshop "Advances in Discrete Networks" that we have organized, to be held at the University of Pittsburgh on December 12-14, 2014. This three-day workshop will provide a forum for the exchange of ideas relating to quantitative research about networks, pursued with a variety of perspectives and approaches. The event will bring together leading researchers in the field, with backgrounds in areas such as applied mathematics, mathematical biology, statistical physics, and computational methods, along with a diverse pool of graduate students, postdocs, and other scientists who are early in their careers. Indeed, one of the goals of the meeting is to promote the development and continuation of interdisciplinary collaborations in these areas, as well as the exchange of ideas between participants from a variety of backgrounds and career stages. More information about the meeting, including a list of speakers, is available at: http://www.math.pitt.edu/~lewicka/Semester_DiscrNetw_14/adv_disc_netw_works…<http://www.math.pitt.edu/%7Elewicka/Semester_DiscrNetw_14/adv_disc_netw_wor…> The meeting will include a poster session, and funds are available (under the NSF grant DMS-1446452) to support student and postdoc travel. If you or someone from your group is interested in attending, as we hope you will be, then please complete an application form, available at the above website or at: https://docs.google.com/forms/d/11lUhx_sWxe4F135goptKkh-Qu3ioEJwktfSU32M35J… Space is limited, so we encourage early applications. Thanks for your attention, Brent Doiron (brent.doiron(a)gmail.com<mailto:brent.doiron@gmail.com>) Bard Ermentrout (bard(a)pitt.edu<mailto:bard@pitt.edu>) Marta Lewicka (lewicka(a)pitt.edu<mailto:lewicka@pitt.edu>) Jon Rubin (jonrubin(a)pitt.edu<mailto:jonrubin@pitt.edu>)

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Postdoctoral position in theoretical neuroscience at the Hebrew University
by Yoram Burak 06 Oct '14

06 Oct '14

Yoram Burak's research group at the Hebrew University is seeking a highly motivated postdoctoral research fellow in theoretical neuroscience. The initial appointment will be for one year, with a possibility of extension. The group has a broad range of interests in theoretical and computational neuroscience, including: - Dynamics of short term memory in stochastic neural networks. - Sequence generation and learning in the brain. - Invariant perception in sensory processing. - Grid cells in the entorhinal cortex: spatial computation and coding in the brain. - Plasticity in neural networks. The group is part of the Edmond and Lily Safra Center for Brain Sciences (ELSC), and of the Racah Institute of Physics. Both are located in the beautiful Safra campus of the Hebrew University in Jerusalem. The Hebrew University is ranked first among Israel's research universities in the Shanghai ranking of world universities (the ARWU ranking), 70th in the world, and 47th in the natural sciences. Research at ELSC offers a vibrant scientific environment and excellent opportunities for interaction with researchers interested in systems and computational neuroscience. For more information, see: http://elsc.huji.ac.il. An international graduate program in computational neuroscience at ELSC (formerly the ICNC program) is entering its 23rd year this fall. Applicants must have an excellent research record in theoretical neuroscience, theoretical physics, mathematics, or a related field, and a keen interest in computational neuroscience. *To apply*: please send a CV and list of publications, a brief statement of research interests, and the names of three references to yoram.burak(a)elsc.huji.ac.il. Please ask your references to send letters of recommendation to the same email address. For full consideration please apply by November 15, 2014. Regards, Yoram Burak -- Senior Lecturer (Assistant Professor) Racah Institute of Physics Hebrew University of Jerusalem Safra Campus, Givat Ram Jerusalem 91904 http://elsc.huji.ac.il/burak

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New release of NeuroML 2 and LEMS and two recent publications
by Padraig Gleeson 06 Oct '14

06 Oct '14

Dear colleagues, We are happy to announce a new stable release (version 2, beta 3) of the NeuroML language for model specification in computational neuroscience. http://www.neuroml.org/getneuroml NeuroML allows specification of models of systems from integrate and fire cells up to complex 3D networks of multicompartmental neurons. NeuroML version 2 has been extensively redesigned to be built on a new language, LEMS, which allows machine readable definitions of model structure and dynamics. This facilitates model transparency, portability and code generation. LEMS and NeuroML 2 are described in detail in: Robert C. Cannon, Padraig Gleeson, Sharon Crook, Gautham Ganapathy, Boris Marin, Eugenio Piasini and R. Angus Silver, *LEMS: A language for expressing complex biological models in concise and hierarchical form and its use in underpinning NeuroML 2*, Frontiers in Neuroinformatics 2014, doi: 10.3389/fninf.2014.00079 There are libraries for reading, writing and simulating NeuroML models in Java (https://github.com/NeuroML/jNeuroML) and Python. The Python APIs for NeuroML and LEMS have recently been described in: Michael Vella, Robert C. Cannon, Sharon Crook, Andrew P. Davison, Gautham Ganapathy, Hugh P. C. Robinson, R. Angus Silver and Padraig Gleeson, *libNeuroML and PyLEMS: using Python to combine procedural and declarative modeling approaches in computational neuroscience*, Frontiers in Neuroinformatics 2014, doi: 10.3389/fninf.2014.00038 The growing number (30+) of tools, libraries and databases supporting NeuroML v1 and/or NeuroML v2 are listed here: http://www.neuroml.org/tool_support Open Source Brain is a repository of models in computational neuroscience which actively supports open, collaborative development of models, as well as conversion to simulator independent formats including NeuroML (over 500 valid NeuroML 2 cells/channels/synapses on OSB at last count). An overview of the models currently present and the formats/simulators supported can be found here: http://www.opensourcebrain.org/status Regards, The NeuroML development community ----------------------------------------------------- Padraig Gleeson Room 321, Anatomy Building Department of Neuroscience, Physiology& Pharmacology University College London Gower Street London WC1E 6BT United Kingdom +44 207 679 3214 p.gleeson(a)ucl.ac.uk -----------------------------------------------------

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3 year postdoc in London, modelling bee brains
by Lars Chittka 06 Oct '14

06 Oct '14

Hello, We have a 3-year postdoc position (HFSP funded) to work on a project entitled: "A neural circuit approach to cognition and its limits in microbrains". The postdoctoral fellow will focus on building computational models of the bee visual system and higher-level brain centres. See here: http://www.jobs.qmul.ac.uk/5111 Informal inquiries can be sent to l.chittka(a)qmul.ac.uk Thank you and best wishes, Lars -- Lars Chittka, PhD, MSc Professor in Sensory & Behavioural Ecology School of Biological & Chemical Sciences Fogg Building Queen Mary, University of London Mile End Road London E1 4NS UK Email: l.chittka(a)qmul.ac.uk Tel: *44 (0) 20 7882 3043 Fax: *44 (0) 20 7882 7732 http://chittkalab.sbcs.qmul.ac.uk/ Room 2.13 via 2.10 -- Lars Chittka, PhD, MSc Professor in Sensory & Behavioural Ecology School of Biological & Chemical Sciences Fogg Building Queen Mary, University of London Mile End Road London E1 4NS UK Email: l.chittka(a)qmul.ac.uk Tel: *44 (0) 20 7882 3043 Fax: *44 (0) 20 7882 7732 http://chittkalab.sbcs.qmul.ac.uk/ Room 2.13 via 2.10

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Multi-faculty hiring initiative in Computational and Theoretical Neuroscience, The University of Texas at Austin
by Ila Fiete 06 Oct '14

06 Oct '14

The University of Texas at Austin announces two faculty positions in Computational and Theoretical Neuroscience, as part of a multi-faculty hiring initiative. The search is open at all levels, from Assistant Tenure-track to Tenured Full Professor. Please see the advertisements below. *Full|Associate|Assistant Professor in Computational and Theoretical Neuroscience, Departments of Neuroscience and Mathematics at the University of Texas at Austin * The Department of Neuroscience at the University of Texas at Austin seeks exceptional researchers in the field of computational and theoretical neuroscience for appointment at the levels of Full Professor to Assistant Professor. The position will be joint with the Department of Mathematics, thus we especially encourage applications from leaders in computational and theoretical neuroscience whose work intersects with mathematical approaches including, but not limited to: dynamical systems, partial differential equations, algebraic geometry, statistics, information theory, stochastic processes, and applied and computational topology. This search is part of a multi-faculty hiring initiative in Computational and Theoretical Neuroscience at UT Austin -- including a position in Psychology and a joint position between Neuroscience and Computer Science, with the aim of building on existing strengths to create a Computational and Theoretical Neuroscience center. The successful candidate(s) will orchestrate an outstanding program of independent research and contribute to an environment of diversity in higher education through research, teaching, and service. The position will include full access to the Texas Advanced Computing Center supercomputers, and the option to join various multi-disciplinary advanced computing and neuroscience centers on campus. Austin is a vibrant university town with a large high-tech center, a legendary live-music culture, and has consistently ranked amongst the top five towns to live in the United States in various surveys. Qualified applicants with a Ph.D. or equivalent, appropriate post-graduate experience, and an exceptional research record will be considered for appointment. Applications are being reviewed from September 2014 onwards, until the position is filled. Please submit applications through academicjobsonline (https://academicjobsonline.org/ajo/jobs/4726) A complete application will include: 1. Statement of research interests. 2. Curriculum vita. 3. Letters of reference from at least 3 individuals (Assistant Professor) or 6 individuals (Associate or Full Professor). 4. A statement of teaching philosophy and experience, with evidence of teaching excellence (Assistant Professor). UT Austin is an equal opportunity employer committed to excellence through diversity. We strongly encourage applications from all qualified individuals including women and minorities. UT Austin is responsive to the needs of dual career couples and is dedicated to work-life balance through an array of family-friendly policies (http://www.utexas.edu/provost/policies/family/) For further inquires related to this search, please email Kathleen Pantalion (kpantalion(a)mail.clm.utexas.edu <mailto:kpantalion@mail.clm.utexas.edu>). **Full|Associate|Assistant Professor *in Computational and Theoretical Neuroscience, Departments of Neuroscience and Computer Science at the University of Texas at Austin * The Department of Neuroscience at the University of Texas at Austin seeks exceptional researchers in the field of computational and theoretical neuroscience for appointment at the levels of Full Professor to Assistant Professor. The position will be joint with the Department of Computer Science, thus we especially encourage applications from leaders in computational and theoretical neuroscience whose work intersects with computer science approaches including, but not limited to, information and complexity theory, computational modeling, computational geometry, statistics, machine learning, robotics, graphical models, stochastic processes, coding theory, and data mining. This search is part of a multi-faculty hiring initiative in Computational and Theoretical Neuroscience at UT Austin -- including a position in Psychology and a joint position between Neuroscience and Mathematics, with the aim of building on existing strengths to create a Computational and Theoretical Neuroscience center. The successful candidate(s) will orchestrate an outstanding program of independent research and contribute to an environment of diversity in higher education through research, teaching, and service. The position will include full access to the Texas Advanced Computing Center supercomputers, and the option to join various multi-disciplinary advanced computing and neuroscience centers on campus. Austin is a vibrant university town with a large high-tech center, a legendary live-music culture, and has consistently ranked amongst the top five towns to live in the United States in various surveys. Qualified applicants with a Ph.D. or equivalent, appropriate post-graduate experience if relevant, and an exceptional research record will be considered for appointment. The department prefers to receive applications online, beginning September 2014, onwards. To submit your application, please review the Checklist (http://services.cs.utexas.edu/recruit/faculty/frontmatter/checklist.html) and then go to My Application (http://services.cs.utexas.edu/recruit/faculty/applicant/) A complete application will include: 1. Statement of research interests. 2. Curriculum vita. 3. Letters of reference from at least 3 individuals (Assistant Professor) or 6 individuals (Associate or Full Professor). 4. For appointment as Assistant Professor, a statement of teaching philosophy and experience, with evidence of teaching excellence. UT Austin is an equal opportunity employer committed to excellence through diversity. We strongly encourage applications from all qualified individuals including women and minorities. UT Austin is responsive to the needs of dual career couples and is dedicated to work-life balance through an array of family-friendly policies (http://www.utexas.edu/provost/policies/family/) For further inquires related to this search, please email Kathleen Pantalion (kpantalion(a)mail.clm.utexas.edu <mailto:kpantalion@mail.clm.utexas.edu>).

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