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VizSec 2017 last call for posters
by Nicolas Prigent 17 Aug '17

17 Aug '17

VizSec explores effective and scalable visual interfaces for security domains such as network security, computer forensics, reverse engineering, insider threat detection, cryptography, privacy, user assisted attacks prevention, compliance management, wireless security, secure coding, and penetration testing. The deadline for VizSec call for posters is on August 29, 2017.Poster submissions may showcase late-breaking results, work in progress, preliminary results, or visual representations relevant to the VizSec community. The poster program will be a great opportunity for the authors to interact with the attendees and solicit feedback. Accepted poster abstracts will be made available on VizSec website (http://vizsec.org) To submit a poster, please email an extended abstract as a PDF attachment to vizsec2017posters(a)cs.usfca.edu and include the author names and affiliations in the email body. Extended abstract should be at most 2 pages including the bibliography. Poster abstracts will be reviewed by the Poster Chair(s) and other members of the organizing committee to determine relevance to the VizSec community. Accepted authors must present a corresponding poster during the workshop. The poster authors can determine the layout by themselves, but the dimensions of the posters should not exceed the A0 space (841mm x 1189mm or 33.1" x 46.8"). Additionally, poster authors are requested to give a brief oral preview during a plenary "fast forward" session.

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26.WSCG conference - Call for Papers (includes GraVisMa & HCI-Europe confs.)
by Vaclav Skala 12 Aug '17

12 Aug '17

Conference Announcement and Call for Papers (WSCG 208, GraVisMa 2018, HCI-Europe 2018) ------------------------------------------------------------- >>> WSCG 2018 – 26. Int. Conf. on Computer Graphics, Visualization and Computer Vision >>> http://www.wscg.eu When: May 28 – June 1, 2018 Where: Primavera Congress Center, Pilsen (the City of Beer), close to Prague, Czech Republic (approx. 70 mins. from the Prague Airport by public transport) Satellite conferences: ------------------------ * GraVisMa 2018 - 5. Conference on Computer Graphics, Computer Vision and Computational Mathematics Includes special workshop: Radial Basis Function: Theory and Application in Physical Sciences http://www.GraVisMa.eu * HCI-Europe 2018 – 3. Conference on Human Computer Interaction 2018 https://www.hci-europe.eu Important dates --------------------- Submission: January 30, 2018 Acceptance decision: March 30, 2018 Final version due: May 10, 2018 Proceedings will be published in Computer Science Research Notes (ISSN 2464-4617). The best papers will be published in The Journal of WSCG (ISSN 1213-6972). Organizer & Chair --------------------- prof. Vaclav Skala, c/o University of West Bohemia, Faculty of Applied Sciences, Dept. of Computer Science and Engineering, Univerzitni 8, CZ 30614 Plzen http://www.VaclavSkala.eu Announcement sent via: infovis(a)infovis.org --- This email has been checked for viruses by Avast antivirus software. https://www.avast.com/antivirus

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Call for Posters: Graph Drawing and Network Visualization GD 2017
by Fabrizio Frati 11 Aug '17

11 Aug '17

=========================================================================== Final Call for Posters GD 2017 25th International Symposium on Graph Drawing and Network Visualization September 25-27, 2017 - Boston, MA, U.S.A. http://graphdrawing.org/gd2017 =========================================================================== Graph Drawing is concerned with the geometric representation of graphs and constitutes the algorithmic core of Network Visualization. Graph Drawing and Network Visualization are motivated by applications where it is crucial to visually analyze and interact with relational datasets. Examples of such application areas include data science, social sciences, Web computing, information systems, biology, geography, business intelligence, information security and software engineering. GD has been the main annual event in this area for more than 20 years. Its focus is on combinatorial and algorithmic aspects of graph drawing as well as the design of network visualization systems and interfaces. GD 2017 will take place September 25-27, 2017 at the Northeastern University in Boston, Massachusetts, USA. Researchers and practitioners working on any aspects of graph drawing and network visualization are invited to submit posters and to participate in the symposium. POSTER SUBMISSION INFORMATION ----------------------------- The submission of posters on graph drawing, network visualization, and related areas is solicited. The poster session will provide a forum for the communication of late-breaking research results (which may also appear elsewhere) to the GD community. Authors of posters should prepare an abstract (up to two pages in unmodified LNCS style -- no times package is allowed) that must be submitted together with the poster. Abstracts of accepted posters will appear in the conference proceedings (two pages). The maximum size for a poster is A0 (84.1 cm x 118.9 cm). The posters must be in portrait mode. Each submission will then consist of two pdf files (the two-page abstract and the poster) and must include names, email addresses and contact information of the contributors. Contributions must be submitted via EasyChair following the link provided on the conference web site. BEST POSTER AWARD ----------------- To recognize the effort of the participants in preparing and presenting their posters in a clear and elegant way, there will be a Best Poster Award voted on by the GD 2017 attendees. IMPORTANT DATES --------------- • Poster submission deadline August 17 (23:59 PDT) • Notification of poster acceptance August 28 • Final versions due September 3 • Symposium September 25-27 INVITED SPEAKERS ---------------- Timothy M. Chan, University of Illinois at Urbana-Champaign, USA Alessandro Vespignani, Northeastern University, US PROGRAM COMMITTEE ----------------- Daniel Archambault, Swansea University, GB Benjamin Bach, University of Edinburgh, GB Fabian Beck, Universität Duisburg-Essen, DE Michael Bekos, Universität Tübingen, DE Therese Biedl, University of Waterloo, CA Giordano Da Lozzo, UC Irvine, US Vida Dujmovic, University of Ottawa, CA Stephane Durocher, University of Manitoba, CA Tim Dwyer, Monash University, AU Fabrizio Frati (co-chair), Università Roma Tre, IT Martin Gronemann, Universität zu Köln, DE John Alexis Guerra Gómez, Universidad de los Andes, CO Michael Hoffmann, ETH Zürich, CH Yifan Hu, Yahoo Research, US Takayuki Itoh, Ochanomizu University, JP Anna Lubiw, University of Waterloo, CA Kwan-Liu Ma (co-chair), UC Davis, US Fabrizio Montecchiani, Università degli Studi di Perugia, IT Martin Nöllenburg, Technische Universität Wien, AT Arnaud Sallaberry, LIRMM, FR Andrew Suk, University of Illinois at Chicago, US Antonios Symvonis, National Technical University of Athens, GR Ioannis Tollis, University of Crete, GR Csaba Tóth, California State University Northridge, US Alexander Wolff, Universität Würzburg, DE Jian Zhao, FX Palo Alto Laboratory, US ORGANIZING COMMITTEE -------------------- Cody Dunne (co-chair), Northeastern University, US Alan Keahey (co-chair), Conversant, US CONTEST COMMITTEE ----------------- Philipp Kindermann, Universität Würzburg, DE Maarten Löffler (chair), Utrecht University, NL Ignaz Rutter, Karlsruhe Institute of Technology, DE

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Call for Nominations -- IEEE VGTC VPG Doctoral Dissertation Award -- Aug 15
by Chris North 07 Aug '17

07 Aug '17

CALL FOR NOMINATIONS The IEEE VGTC VPG Doctoral Dissertation Award http://vacommunity.org/ieeevpg/bestthesis/ <http://vacommunity.org/ieeevpg/bestthesis/> IEEE Visualization and Graphics Technical Committee (VGTC) sponsors the annual Best Doctoral Dissertation Award program to recognize outstanding academic research and development in visualization and visual analytics. The dissertations must address a topic relevant to visualization or visual analytics. The competition will be administrated by the IEEE Visualization Pioneers Group (VPG) under the auspices of IEEE VGTC. The IEEE VGTC VPG Doctoral Dissertation Award is presented annually at the IEEE VPG Reception held at the IEEE VIS conference. ELIGIBILITY All English language dissertations that have been successfully defended between Aug 15 two years before the award and Aug 15 of the year of the competition are eligible (e.g. between Aug 15, 2015 and Aug 15, 2017 are eligible for the 2017 competition). SUBMISSION LIMITATION There is no limitation on the number of nominations that may be made by a university. SUBMISSION DEADLINE Nomination packets must be received by 5pm PDT on August 15, 2017. SELECTION PROCEDURE Five IEEE VPG members will form a review committee to thoroughly review and assess the dissertation submissions. The committee will judge the dissertations based on their intellectual merit, technical depth, and presentation quality. The selection committee will recommend the winning dissertation to the IEEE VGTC chair by October 1. AWARDS The winner of the IEEE VGTC VPG Doctoral Dissertation Award will receive not only a monetary prize of $500 provided by IEEE VGTC, but also a chance to describe the impact of the winning dissertation in an invited article that may be published in IEEE Computer Graphics and Applications (CG&A). Professor Jim Foley of Georgia Tech and the editor of the CG&A Dissertation Impact Department will make the final determination about whether the article will be published. The CG&A Dissertation Impact Department recognizes the best and brightest dissertation work nominated by different visualization, computer graphics, and virtual reality technical communities from around the world. SUBMISSION DETAILS The student’s advisor should email the nomination package to vpg_awards(a)vgtc.org <mailto:vpg_awards@vgtc.org>. The package must include: A nomination letter written by the student’s advisor, which includes: the name, email address, and phone number of the advisor, the name and email address of the candidate, and a one-page summary of the significance of the dissertation (references to papers should be provided on an extra sheet) A copy of the dissertation. Optional additional letters of recommendation can be attached to the submission.

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1st SIGGRAPH ASIA Workshop on ARTIFICIAL INTELLIGENCE meets VIRTUAL AND AUGMENTED REALITIES
by Artur Lugmayr 07 Aug '17

07 Aug '17

================================================================================================= Call for Papers, Abstracts, Demos and Posters 1st Workshop on ARTIFICIAL INTELLIGENCE MEETS VIRTUAL AND AUGMENTED REALITIES AI-VR-AR 2017 in conjunction with SIGGRAPH ASIA 2017 27th-30th November 2017 Bangkok, Thailand http://aivr.ambientmediaassociation.org The workshop intends to attract a broad range of contributions to develop this scholarly field during a full day venue. We invite scholars and practitioners to discuss synergies between virtual and augmented reality (VR & AR) and artificial intelligence (AI) and machine learning (ML). The aim is to gather a cross-disciplinary team of experts with a background in computer science, Human-Computer Interaction (HCI), psychology/cognitive sciences, culture/communication studies, design and art to develop this fascinating intersection. The aspects to discuss range from user-experience, technologies applications, methods, cultural implications, communication theories, to artistic approaches. Workshop Highlights: - Workshop proceedings published in a Scopus indexed series - Best papers are published as part of an edited book or journal special issue with high level publisher - Submission deadline: 15 August, 2017 ================================================================================================= While AI's main aim is to replicate human intelligence, AR and VR focuses its research efforts on the creation of artificial worlds either in complete virtual world, or as part of our physical environment. Many examples that bridge the two fields have emerged recently, e.g. intelligence in digital games, utilization of computer graphics hardware for deep learning and AI, emotional and affective interaction, etc. Thus, while AI and VR/AR went rather distinct research pathways, we attempt to bring them together, and discuss different aspects at the intersection of machine intelligence and human interaction in a mixed reality. We raise the question: what happens when artificial worlds start to think, and we humans interact with it? We would like to follow up the philosophical discussions around issues such as what happens when things start to think, and Alan Turing's works. In this workshop, we would like to raise a question: what would happen when artificial worlds start to think, and how we humans can interact and communicate with AI through e.g. affective interfaces? As our emphasis is on creating the synergy between VR/AR and AI/ML, we are not limited to particular areas; instead, the following exemplary topics might help to gather ideas for a possible contribution: affective and emotional computation, communication with AI, digital game analytics, utilization of computer graphics hardware for deep learning, personalization and recommender systems, UX with agents and physical robots, cultural robotics, or AI in information visualization. ------------------------------------------------------------------------------ TOPICS OF INTEREST (BUT NOT LIMITED TO) ------------------------------------------------------------------------------ * Artificial Intelligence and machine learning in VR/AR * Emotions and AI in VR, AR, and smart objects * Human-Computer-Interaction with AI in virtual worlds * Digital games and artificial intelligence * How do humans communicate with AI * Emotion enriched human-AI collaboration * AI in digital games and other application areas * User-Experience and interaction with AI * Intelligent interaction with robots and physical objects * Visualisation of cultural data * Affective human-virtual world interaction * Design of emotionally intelligent AI * Recommender systems and personalisation in VR, AR * Information visualisation and AI and ML * Communication theory and cognitive science * Affective ambient intelligence in mixed realities * UX with AI agents or physical robots * AI based emotion mediated communication in VR/AR * Tools for authoring emotional intelligence in VR/AR * Multimodal affective interfaces in VR/AR * Human-human emotional communication in VR/AR * Cultural robotics The workshop proceedings will be published in a Scopus indexed proceedings series with an ISBN number as part of the Semantic Ambient Media Experience (SAME) workshop series. The very best contributions will be published in an edited book from a highly reputable publisher which has been pre-arranged. Please note that only selected high quality contributions will be published as part of the edited book. However, during the workshop a common journal article co-authored between all workshop participants will be published as an introduction chapter. ------------------------------------------------------------------------------ IMPORTANT DATES ------------------------------------------------------------------------------ 15/08/2017: Deadline for workshop papers 21/08/2017: Notification of accepted workshop papers 31/08/2017: Camera ready workshop papers 29/09/2017: Registration for the Workshop 27/11/2017: Workshop Day ------------------------------------------------------------------------------ SUBMISSION GUIDELINES ------------------------------------------------------------------------------ The workshop program stretches over a full-day, and will contain a combination of invited keynote presentations, oral presentations, posters, and demonstrations. We are calling for paper submissions of extended abstracts between 2-5 pages long, following the submission format of SIGGRAPH Asia's style template. Please choose one of the three submission categories: * Abstract: 1-2 pages long * Short paper, demo, or poster: 2-4 pages long * Long paper: 4-6 pages long Please download the paper template from: https://sa2017.siggraph.org/submitters/submission-information?faqitem=accor… The copyright form can be downloaded from: http://www.visemex.ambientmediaassociation.org/wp-content/uploads/2016/09/C… Your submission should include: scanned signed copyright form + original contribution in word or latex + pdf of the paper Please do NOT include the ACM copyright strip (first page, bottom left) into your submission Add ALL your files (copyright form, word document/latex files, scanned copyright form) into ONE zip file. Upload the zip file to the workshop submission system on: http://www.ambientmediaassociation.org/Submissions/2017AIVR/openconf.php ------------------------------------------------------------------------------ RECOMMENDED READINGS PRIOR SUBMISSION ------------------------------------------------------------------------------ We strongly recommend the ideas and topics from the following papers prior your submission or as part of a paper submission in its discussion section: * Lugmayr, A. et al., 2017. Cognitive Big Data. Survey and Review on Big Data Research and its Implications: What is Really "New"? Cognitive Big Data! Journal of Knowledge Management (JMM), 21(1). Available at: http://www.emeraldgrouppublishing.com/products/journals/call_for_papers.htm…, Journal of Knowledge Management/Emerald. * Sun, M., Zhao, Z., and Ma, X. (2017). Sensing and Handling Engagement Dynamics in Human-Robot Interaction Involving Peripheral Computing Devices. In Proc. CHI2017 (to appear). * Zhu, F., Fang, K., and Ma, X. (2017). Exploring the Effects of Strategy and Arousal of Cueing in Computer-Human Persuasion. In Proc. CHI2017 EA (to appear). * Yang, Y., Ma, X., and Fung, P. (2017). Perceived Emotional Intelligence in Virtual Agents. In Proc. CHI2017 EA (to appear). * Ma, X. (2016). Developing Design Guidelines for a Visual Vocabulary of Electronic Medical Information to Improve Health Literacy. Interacting with Computers. * Zhu, K., Ma, X., Chen, H., and Liang, M. (2016). Tripartite Effects: Exploring Users' Mental Model of Mobile Gestures under the Influence of Operation, Handheld Posture, and Interaction Space. International Journal of Human-Computer Interaction. * A. Lugmayr, E. Serral, A. Scherp, B. Pogorelc, and M. Mustaquim, "Ambient media today and tomorrow," Multimedia Tools and Applications, vol. 71, 2014, pp. 7-37 Available: http://dx.doi.org/10.1007/s11042-012-1346-z. * ZHU Kening, ZHU Rongbo, H SAMANI, BB JALAEIAN, PaperIO: a 3D interface towards the internet of embedded paper-craft, IEICE Transactions on Information and Systems, 2014 ------------------------------------------------------------------------------ WORKSHOP ORGANISERS ------------------------------------------------------------------------------ Artur Lugmayr Associate Professor School of Media, Culture and Creative Arts Curtin University, Australia Kening Zhu Assistant Professor School of Creative Media, City University of Hong Kong Xiaojuan Ma Assistant Professor Hong Kong University of Science and Technology (HKUST) ------------------------------------------------------------------------------ CONTACT INFORMATION ------------------------------------------------------------------------------ In case of questions, please don't hesitate to contact: artur.lugmayr(a)artur-lugmayr.com<mailto:artur.lugmayr@artur-lugmayr.com>

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Call for Posters: Graph Drawing and Network Visualization GD 2017
by Fabrizio Frati 02 Aug '17

02 Aug '17

=========================================================================== Call for Posters GD 2017 25th International Symposium on Graph Drawing and Network Visualization September 25-27, 2017 - Boston, MA, U.S.A. http://graphdrawing.org/gd2017 =========================================================================== Graph Drawing is concerned with the geometric representation of graphs and constitutes the algorithmic core of Network Visualization. Graph Drawing and Network Visualization are motivated by applications where it is crucial to visually analyze and interact with relational datasets. Examples of such application areas include data science, social sciences, Web computing, information systems, biology, geography, business intelligence, information security and software engineering. GD has been the main annual event in this area for more than 20 years. Its focus is on combinatorial and algorithmic aspects of graph drawing as well as the design of network visualization systems and interfaces. GD 2017 will take place September 25-27, 2017 at the Northeastern University in Boston, Massachusetts, USA. Researchers and practitioners working on any aspects of graph drawing and network visualization are invited to submit posters and to participate in the symposium. POSTER SUBMISSION INFORMATION ----------------------------- The submission of posters on graph drawing, network visualization, and related areas is solicited. The poster session will provide a forum for the communication of late-breaking research results (which may also appear elsewhere) to the GD community. Authors of posters should prepare an abstract (up to two pages in unmodified LNCS style -- no times package is allowed) that must be submitted together with the poster. Abstracts of accepted posters will appear in the conference proceedings (two pages). The maximum size for a poster is A0 (84.1 cm x 118.9 cm). The posters must be in portrait mode. Each submission will then consist of two pdf files (the two-page abstract and the poster) and must include names, email addresses and contact information of the contributors. Contributions must be submitted via EasyChair following the link provided on the conference web site. BEST POSTER AWARD ----------------- To recognize the effort of the participants in preparing and presenting their posters in a clear and elegant way, there will be a Best Poster Award voted on by the GD 2017 attendees. IMPORTANT DATES --------------- • Poster submission deadline August 17 (23:59 PDT) • Notification of poster acceptance August 28 • Final versions due September 3 • Symposium September 25-27 INVITED SPEAKERS ---------------- Timothy M. Chan, University of Illinois at Urbana-Champaign, USA Alessandro Vespignani, Northeastern University, US PROGRAM COMMITTEE ----------------- Daniel Archambault, Swansea University, GB Benjamin Bach, University of Edinburgh, GB Fabian Beck, Universität Duisburg-Essen, DE Michael Bekos, Universität Tübingen, DE Therese Biedl, University of Waterloo, CA Giordano Da Lozzo, UC Irvine, US Vida Dujmovic, University of Ottawa, CA Stephane Durocher, University of Manitoba, CA Tim Dwyer, Monash University, AU Fabrizio Frati (co-chair), Università Roma Tre, IT Martin Gronemann, Universität zu Köln, DE John Alexis Guerra Gómez, Universidad de los Andes, CO Michael Hoffmann, ETH Zürich, CH Yifan Hu, Yahoo Research, US Takayuki Itoh, Ochanomizu University, JP Anna Lubiw, University of Waterloo, CA Kwan-Liu Ma (co-chair), UC Davis, US Fabrizio Montecchiani, Università degli Studi di Perugia, IT Martin Nöllenburg, Technische Universität Wien, AT Arnaud Sallaberry, LIRMM, FR Andrew Suk, University of Illinois at Chicago, US Antonios Symvonis, National Technical University of Athens, GR Ioannis Tollis, University of Crete, GR Csaba Tóth, California State University Northridge, US Alexander Wolff, Universität Würzburg, DE Jian Zhao, FX Palo Alto Laboratory, US ORGANIZING COMMITTEE -------------------- Cody Dunne (co-chair), Northeastern University, US Alan Keahey (co-chair), Conversant, US CONTEST COMMITTEE ----------------- Philipp Kindermann, Universität Würzburg, DE Maarten Löffler (chair), Utrecht University, NL Ignaz Rutter, Karlsruhe Institute of Technology, DE

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Postdoctoral Position at the University of Arizona
by Stephen Kobourov 01 Aug '17

01 Aug '17

Postdoctoral Position at the University of Arizona The University of Arizona Data Science Institute (Data 7) invites applications for a post-doctoral research position in the theory of large scale graph visualization. The Institute's goal is to facilitate next generation data-driven interdisciplinary research, by fostering collaborations between domain scientists and experts in computer science, mathematics and statistics. The specific research projects involve the study of connections between geometry, topology and combinatorics in the context of graphs and graph theory, as well as developing graph analysis and visualization algorithms with theoretical and practical guarantees. Candidates should have a PhD in Computer Science or a related field and an established research track record. Ideally, we seek a postdoctoral researcher with a background in information visualization, graph theory, as well as computational geometry and topology. The work will be carried out at the University of Arizona, in Tucson, Arizona. The position is available starting September 1, 2017 initially for 1 year, with the possibility of extension for another 2 years dependent upon performance and availability of funds. The University of Arizona has been recognized as one of America’s Best Employers (according to Forbes 2015) and has been awarded the Work-Life Seal of Distinction by the Alliance for Work-Life Progress. For more information about working at the University of Arizona, please see http://whyua.arizona.edu/. To apply, please, send CV to Stephen Kobourov, kobourov(a)cs.arizona.edu; applications will be accepted on an ongoing basis until the position is filled.

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CFP: ACM TIST Special Issue on Visual Analytics
by Yingcai Wu 27 Jul '17

27 Jul '17

Sorry if you have received multiple copies of this email. =========================================================================== Call for Papers ACM Transactions on Intelligent Systems and Technology Special Issue on *Visual Analytics: Towards Effective Human-Machine Intelligence* =========================================================================== *Full Paper Submission Deadline: August 31, 2017* PDF version: http://tist.acm.org/CFPs/CFP-TIST-VA.pdf =========================================================================== We call for novel and high-quality submissions on visualization and visual analytics for a special issue of ACM Transactions on Intelligent Systems and Technology (ACM TIST). Visualization turns data into intuitive visual representations and allows people to quickly see, interact, and analyze the patterns in the data. As an old saying goes “a picture worth a thousand words”, visualization can significantly improve the abilities of people to understand and interpret the data and analysis results. Visual analytics is an emerging research area that evolves from visualization, which aims to support “analytical reasoning facilitated by interactive visual interfaces”. Visual analytics can enable human-machine intelligence that effectively integrates human knowledge and expertise into powerful data mining algorithms through highly interactive visualizations. Visualization and visual analytics have been used in many applications to tackle various important problems in the big data era, such as tackling urban issues like traffic jam and air pollution, making better diagnostic and treatment decisions, preventing threats and fraud in business, optimizing rescue efforts, forecasting severe weather conditions, and achieving situational awareness during crisis. This special issue will introduce the readership to the latest innovations and provide a spotlight on emerging and promising research topics in visual analytics and visualization for highly effective human-machine intelligence. We invite high quality submissions aiming to enable human and machine to work a team to solve practical problems via intelligent visualization systems and technologies. Topics of interest include but not limited to: Exploring Big Data using Visual Analytics • Visual urban analytics • Visual analytics of social media data • Visual text analytics • Visual analytics of healthcare data • Visual analytics of multimedia data • Visual analytics for bioinformatics • Visual analytics of business data • Visualization and visual analytics for humanities • Visual analytics of user behavior data • Visual analytics of engineering data • Visual representations and interaction techniques for visual analytics • Data management and knowledge representation for visual analytics • Analytical reasoning and collaborative analytics through visualization • Taxonomies and models Understanding Human Factors in Interactive Machine Learning • User studies for identifying the role of humans in interactive machine learning • Evaluating and understanding the difficulties that users have with machine learning • User studies of comparing interactive machine learning tools and systems • Case studies of the use of a machine learning tool for solving important problems Visualizing and Diagnosing Machine Learning • Visual analytics and visualization for explaining machine learning models • Visual analytics and visualization for diagnosing machine learning models • Visual analytics and visualization for better analysis of deep learning Submissions Online Submission (available in July 1, 2017): http://mc.manuscriptcentral.com/tist (please select “Special Issue: Visual Analytics” as the manuscript type) Details of the journal and manuscript preparation are available on the website: http://tist.acm.org/ Each paper will be peer-reviewed by at least three reviewers. Important Dates • Full Paper Submission Deadline: August 31, 2017 • Review Notification: November 31, 2017 • Final Manuscript: January 31, 2018 • Publication Date: 2018 Guest Editors • Yingcai Wu, Zhejiang University • Nan Cao, Tongji University • David Gotz, University of North Carolina at Chapel Hill • Steffen Koch, University of Stuttgart ================================================================================ Regards, -- Yingcai Wu Prof. Ph.D. ************************************************** State Key Lab of CAD&CG Mengminwei Building Zhejiang University, Hangzhou 310058, China Web: www.ycwu.org **************************************************

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2nd CFP: VADL'17 Deadline Extended to July 31
by Jaegul Choo 21 Jul '17

21 Jul '17

The paper submission deadline has been extended to July 31. CFP: VADL: 2017 IEEE VIS Workshop on Visual Analytics for Deep Learning Arizona, Phoenix, 1 or 2 October 2017 https://vadl2017.github.io/ Recently, deep neural networks have been achieving breakthroughs in various major artificial intelligence tasks such as machine translation, image understanding, speech recognition, and so on. In these tasks, deep neural networks reached the level of an accuracy comparable to or even better than humans’ performance. However, understanding the deep neural networks is challenging due to their complicated inner workings. VADL, the workshop on visual analytics for deep learning, is a half-day workshop held in conjunction with IEEE VIS 2017 in Phoenix, AZ. The primary goal of the workshop is to bridge the gap by bringing together researchers from both machine learning and visual analytics fields, which allows us to push the boundary of deep learning. The workshop should provide an opportunity to discuss and explore ways to harmonize the power of automated techniques and exploratory nature of interactive visualization. Topics of Interest: In this call, we look for papers related to visual analytics for deep learning. Topics of interest include, but are not limited to: - User-adaptive approaches to deep neural networks - Coupling of deep learning-based systems with interactive visualization - Visualization to improve deep learning algorithms and models - Coordinated visualizations for deep learning - Systems, languages, and architectures for interactive deep learning - Collaborative analysis of deep network networks - Real-time visualization of streaming data handling in deep learning - Visualization of uncertainty in deep neural networks - Domain-specific applications of visual analysis of deep neural networks (e.g. retail, healthcare, government, etc.) - Studies and evaluation of deep learning visualization techniques, systems, metrics, and benchmarks Submission Information: All papers will be peer reviewed, single-blinded. We welcome many kinds of papers, including (but not limited to): - Novel research papers - Demo papers - Work-in-progress papers - Visionary papers (white papers) - Position papers - Relevant work that has been previously published - Work that will be presented at the main conference of IEEE VIS’17 Authors should clearly indicate in their abstracts the kinds of submissions, to help reviewers better understand their contributions. Submissions must be in PDF, written in English, no more than 10 pages long — shorter papers such as 2 to 4 pages are welcome — and formatted using the IEEE “Conference Style” template. The accepted papers will be posted on the workshop website and will be included in the IEEE VIS’17 electronic proceedings USB stick. For accepted papers, at least one author must attend the workshop to present the work. Important Dates: - Submission (Extended): July 31, 2017 - Author notification: August 15, 2017 - Camera-ready: August 25, 2017 - Workshop date: October 1 or 2

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Postdoc position on visual analytics
by john.guerra＠gmail.com 21 Jul '17

21 Jul '17

*Visual** Computing **Post Doc**toral Position* *(starting Q3 2017. One to two years long)* *Profs. John Alexis Guerra-Gómez <ja.guerrag(a)uniandes.edu.co <ja.guerrag(a)uniandes.edu.co>>* *& José Tiberio HERNANDEZ <jhernand(a)uniandes.edu.co <jhernand(a)uniandes.edu.co>>* We are seeking for a highly motivated Post-doctoral scientist in the field of Visual Analytics, Information Visualization, Visual Data Mining and Interaction Design in IMAGINE (R&D+i in visual computing), which is established at the Systems & Computing Engineering department in the Engineering School of the University of Los Andes, Bogotá Colombia. Interested people should contact us by email with their CV and a short statement of purpose *RESPONSIBILITIES* The postdoc researcher will - perform interdisciplinary research and develop concepts in the field of Visual Analytics, Information Visualization, Visual Data Mining and Interaction Design together with leading experts from the Imagine group, and our scientific partners in Brain Imaging and City Planning. *The * *postdoc** will conduct research on image and Video **Analytics** applied to Brain and City planning data, and will produce interactive **visual* *analytics** prototypes to help field experts derive insights.* - write scientific publications - review scientific publications - participate in applied scientific and consulting projects - participate in writing research proposals - work within a creative, highly motivated, and international team - (to a smaller extent) participate in teaching and supervision of student projects and theses *REQUIRED QUALIFICATIONS/SKILLS* - PhD in relevant field - Strong analytical skills and good skills in programming (preferably JavaScript, Python, R) - Knowledge or interest in one or more of the following: Visual Analytics, Human Centered computing,Cloud Computing, Image processing. - Abilities to work as an independent and flexible researcher in interdisciplinary teams. - Fluency in English (both speaking and writing). *DESIRED QUALIFICATIONS/SKILLS* *Knowledge or in*terest in one or more of the following: - Visual Analytics applied to relational, geospatial, temporal, and nominal textual data, (dynamic) network analysis and visualization, graph and clusters visualization, data quality, advanced interactive visualization techniques. - Spanish language John Alexis Guerra Gómez Assistant Professor, Los Andes University, Colombia Remote Lecturer, UC Berkeley, USA *ja.guerrag(a)uniandes.edu.co <ja.guerrag(a)uniandes.edu.co>* http://johnguerra.co José Tiberio Hernández Profesor Asociado, Los Andes University, Colombia Director IMAGINE (I+D+i en computación visual) *jhernand(a)uniandes.edu.co <jhernand(a)uniandes.edu.co>* -- --- John Alexis Guerra Gómez http <http://johnguerra.co/>:// <http://johnguerra.co/>johnguerra.co

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