SOFSEM 2025 Call for papers

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                   ****   SOFSEM 2025   ****
50th International Conference on Current Trends in Theory and Practice of Computer Science
            January 20 – 23, 2025, Bratislava, Slovakia
                      
                       http://www.sofsem.sk
                         Call for Papers
SOFSEM is an annual winter conference devoted to the theory and practice of
computer science. The conference traditionally focuses on the latest results
and developments of fundamental research in computer science (informatics),
inspired by the algorithmic challenges of our time. SOFSEM has a long tradition
as a high-quality research conference, and a venue where researchers from
academia and industry in all stages of their career can share their insights.
The series of SOFSEM conferences began in 1974, and was only interrupted in
2022 due to the covid pandemic. In 2025, at its 50th edition, SOFSEM will be
held as a physical event in Bratislava, Slovakia. The proceedings will be
published in the subseries ARCoSS (Advanced Research in Computing and Software
Science) of the Lecture Notes in Computer Science (LNCS) of Springer.
Topics
The program committee encourages submission of original research papers in all
areas of foundations of computer science and artificial intelligence, including
e.g.
 * AI-based algorithms and techniques,
 * algorithms (approximation, combinatorial, exact, online, parameterized, probabilistic, 
   streaming, etc)
 * automata (cellular, finite, networked, etc), languages, machine models, rewriting systems
 * computability, decidability, classical and non-classical models of computation,
 * computational complexity (incuding e.g. communication, descriptional, fine-grained, 
   Kolmogorov, non-uniform, fixed-parameter and structural complexity),
 * computational geometry,
 * computational learning,
 * cryptographic techniques and security,
 * data compression algorithms,
 * data- and pattern mining methods (includeing e.g. models, theory, algorithms)
 * discrete combinatorial optimization, heuristics, local search, SAT solvers, simulation
 * efficient data structures (including e.g. dynamic, geometric, and spatial datastructures)
 * experimental algorithmics, applications
 * formal models of systems (including e.g. concurrent, hybrid, reactive, mobile, net-based, 
   and timed systems)
 * graph structure and algorithms,
 * intelligent algorithms,
 * logics of computation, process models, program synthesis
 * machine learning theory,
 * multi-agent algorithms and games,
 * nature-inspired computing,
 * network science,
 * neural network theory,
 * parallel and distributed computing,
 * quantum computing,
 * robotics
 * structural complexity,
 * visualization algorithms (including e.g. graph drawing, network layout)
and other relevant theory topics in computing and AI.
Program Chairs
Vera Kurkova, Czech Academy of Sciences, Prague, Czech Republic
Rastislav Kralovic, Comenius University, Bratislava, Slovakia
Program Committee
Amir Amihood, Bar-Ilan University, Israel
Přemysl Brada, University of West Bohemia, Czech Republic
Tiziana Calamoneri, Sapienza University of Rome, Italy
Ivana Cerna, Masaryk University, Brno, Czech Republic
Jérémie Chalopin, LIS Marseille, France
Marek Chrobak, University of California Riverside, USA
Gianluca De Marco, University of Salerno, Italy
Stefan Dobrev, Slovak Academy of Sciences, Slovakia
Martin Drozda, Slovak University of Technology in Bratislava, Slovakia
Robert Ganian, Technische Universität Wien, Austria
Leszek Gasieniec, University of Liverpool, UK
Cyril Gavoille, LaBRI, Université de Bordeaux, France
Lucjan Hanzlik, CISPA Helmholtz Center for Information Security, Germany
Markus Holzer, Universität Giessen, Germany
Ling-Ju Hung, National Taipei University of Business, Taiwan
Petr Jancar, Palacky University Olomouc, Czech Republic
Galina Jiraskova, Slovak Academy of Sciences, Slovakia
Tomasz Jurdzinski, University of Wroclaw, Poland
Petteri Kaski, Aalto University, Finland
Philipp Kindermann, Universität Trier, Germany
Dennis Komm, ETH Zurich, Switzerland
Daniel Krizanc, Wesleyan University, Middletown, USA
Giuseppe Liotta, University of Perugia, Italy
Alexei Lisitsa, University of Liverpool, UK
Hsiang-Hsuan Liu, Utrecht University, The Nederlands
Alessio Mansutti, IMDEA Software Institute, Spain
Marco Mesiti, University of Milano, Italy
Xavier Munoz Lopez, Universitat Politècnica de Catalunya, Spain
Vangelis Paschos, Université Paris-Dauphine, France
Rajeev Raman, University of Leicester, UK
Peter Rossmanith, RWTH Aachen, Germany
Pawel Sobocinski, Tallinn University of Technology, Estonia
Ulrike Stege, University of Victoria, Canada
Gerth Stølting Brodal, Aarhus University, Denmark
Submission Guidelines
Papers should be submitted electronically through EasyChair.
Submissions should be prepared in accordance with Springer’s Instructions for
Authors of Proceedings, and use either the LaTeX or the Word templates provided
on the authors’ page. The length should not exceed 12 pages (excluding
references).
No prior publication or simultaneous submission to other conferences or
journals are allowed (except preprint repositories such as arXiv or workshops
without formal published proceedings). There is no need to anonymize the
submissions.
Important Dates
Submission Deadline: September 15, 2024
Conference: January 20-23, 2025
Steering Committee
Henning Fernau, Trier University, Trier, Germany, chair
Leszek A. Gąsieniec, University of Liverpool, United Kingdom
Serge Gaspers, UNSW Sydney, Australia
Ralf Klasing, CNRS and University of Bordeaux, France
Tiziana Margaria, University of Limerick, Ireland
Mirosław Kutyłowski, NASK – National Research Institute, Warsaw, Poland
Branislav Rovan, Comenius University, Bratislava, Slovakia
Jan van Leeuwen, Utrecht University, Utrecht, The Netherlands
Július Štuller, Academy of Sciences, Prague, Czech Republic

IROS 2024 Workshop: Standing the Test of Time Retrospective and Future of World Representations for Lifelong Robotics

Dear community,
 
We are happy to welcome contributions to our IROS 2024 workshop: “Standing the Test of Time Retrospective and Future of World Representations for Lifelong Robotics”.
Accurate, informative, and scalable world representations are an essential component of highly autonomous mobile robots and have been an important topic of research for several decades. As robots become more capable, deploying in larger and more dynamic, varied environments, requirements for such representations have grown apace. Handling multiple data modalities, levels of abstraction, and types of information (metric, topological, semantic, objects, etc.) remains challenging — even more so in so-called lifelong settings where robots must maintain world models over extended periods of time. Over the last forty years, roboticists have used techniques from many machine learning and statistics paradigms for mapping. However, none have been nearly as transformative as deep learning, and we are now at an inflection point in the pace of adoption and proliferation of deep learning techniques for representing models of the world suited to robotics. Such a moment offers an opportunity for retrospection: to consider lessons from previous eras of research that have stood the test of time, to carry such lessons forward into an age of research dominated by models relying on latent representations, and to understand in hindsight the limits and blind spots of previous paradigms. We may look forward as well: to understand the trade-offs presented by newer learning and representation techniques, to share and discuss new examples of state-of-the-art technical approaches for robotic mapping and modelling, and to develop a shared view of the new frontier of challenges facing such systems as they are deployed in ever more challenging domains.
With these goals and challenges in mind, we extend a call for the following types of papers for submission to the Workshop:
Technical papers (up to 6 pages). Technical papers propose new methods for mapping or new world representations that represent the state-of-the-art in some aspect. Specific topics could include novel:
  • Time-aware predictive world models;
  • Action-conditioned world representations;
  • Methods for updating maps over many deployments or long time periods;
  • Hierarchical representations of environments;
  • Methods that explicitly support structure learning in the environment;
  • Methods for representing different information (e.g. spatiosemantic maps)” to “Methods for representing different types of information (e.g. spatial, temporal, semantic);
  • Methods for memory-efficient map storage;
  • Mapping primitives (e.g. Gaussian splatting, voxels, planes, etc.);
  • Mapping data structures (e.g. oct-trees, place graphs, etc.).
Retrospective papers (up to 8 pages). Retrospective papers are survey papers or other studies examining existing research at scale. They do not have to be exhaustive but should provide a solid foundation for a more comprehensive survey or tutorial article. Such papers may taxonomize previous mapping research, identify important lessons from previous eras of research that have stood the test of time, discuss how to carry such lessons forward into an age of research dominated by models relying on latent representations, or provide insight into the limits and blind spots of previous paradigms.
Mini retrospectives (up to 4 pages). Mini retrospectives are unique to this workshop and analyse how 1 or 2 related papers that are at least 5 years old have changed the way we think about world representations. Their focus is narrow, with an emphasis on detailed studies of a single theme.
Position papers (4-8 pages). Position papers look to the future and argue for the importance of certain techniques, questions, evaluation paradigms, design philosophies, etc. in future research. They may also elaborate on particular trade-offs presented by newer learning and representation techniques or develop a view of new difficulties facing state-of-the-art systems as they are deployed in ever more challenging domains.
This workshop is non-archival, and thus we are happy to review submissions that are concurrently under review elsewhere or have already been published in whole or in part.
Submission Instructions: Coming soon…

Important deadlines (subject to change)
  • Submission Deadline: Sunday, Sept 1, 2024, by 11:59 PM EDT
  • Reviews due: Friday, Sep 20, 2024, by 11:59 PM EDT
  • Acceptance Notification: Tuesday, Oct 1, 2024
  • Camera-ready submission: Tuesday, Oct 8, 2024, by 11:59 PM EDT
  • Workshop: Monday, October 14, 2024
  • Location: Room 17, more info to come!
 
Organisers:
Miguel Saavedra Ruiz, University of Montreal
Pierre-Yves Lajoie, University of Montreal
Samer Nashed, University of Montreal
Victor Romero Cano, Cardiff University
Liam Paull, University of Montreal
Malika Meghjani, Singapore University of Tech. & Design
John Leonard, MIT

IEEE Consumer Communications & Networking Conference 10–13 January 2025 – Track 2 – Networking Solutions for Social Applications, Multimedia, and Games

Call for Papers

Deadline extension: August 1, 2024

Track 2 – Networking Solutions for Social Applications, Multimedia, and Games

 

Track Chairs: 

Ombretta Gaggi, University of Padua, Italy (email: gaggi@math.unipd.it

Manuela Montangero, University of Modena and Reggio Emilia, Italy (email: manuela.montangero@unimore.it)

IEEE Consumer Communications & Networking Conference

10–13 January 2025  

Las Vegas, NV, USA

https://ccnc2025.ieee-ccnc.org/authors/call-technical-papers

IMPORTANT DATES

Conference Dates: 10 January – 13 January 2025

Technical Papers due: August 1, 2024

Acceptance Notification: August 31, 2024

Summit at: https://edas.info/newPaper.php?c=32162&track=123255

Scope and Motivation: 

Social applications, multimedia, and games play a substantial role in shaping Internet traffic and have emerged as dominant mode of social interaction online. This recent trend has sparked significant research interests, both at the network level and in terms of application and service development. Moreover, with the advent of the metaverse, research focus within these domains has expanded to encompass virtual worlds, immersive experiences, and social interactions in virtual environments. Given their increasing prevalence and interdisciplinary nature, social applications, multimedia, and games have also garnered research attention across diverse fields, including big data analytics, cloud computing, artificial intelligence, data sensing, information security, and privacy protection.

Main Topics of Interest: The Networking solutions for social applications, multimedia, and games track seeks original contributions in the following areas, as well as others that are not explicitly listed but are closely related:

● Artificial Intelligence for social applications, multimedia, and games. 

● Architectures, Platforms, and Protocols. 

● Business models for social applications, multimedia, and games. 

● Communication security for social applications, multimedia, and games. 

● Data Sensing. 

● Distributed games engines. 

● Ethical considerations in social applications, multimedia, and games. 

● Gamification and game-based learning in applications. 

● Human-Computer Interfaces and Human-Machine Interfaces. 

● Immersive storytelling and narrative techniques in multimedia and games. 

● Knowledge discovery for social applications, multimedia, and games. 

● Metaverse, virtual worlds, immersive experiences. 

● Naming and routing of media streams. 

● New paradigms of future communications networks. 

● Non-visual Interfaces for accessibility and/or Virtual Reality. 

● Novel applications for the social, multimedia, and games scenario. 

● Smart moving and smart objects. 

● Social computing and collective intelligence. 

● Social influence and persuasion in multimedia and games. 

● Social interactions in communication networks. 

● Recommender algorithms. 

● Rumor source localization in large-scale, real-world networking solutions.

● User profiling and behavior analysis. 

● User engagement and retention strategies in social applications and games. 

● Virtual reality and augmented reality applications.

CVAUI24 deadline extension to August 7 / underwater vision

Please note that the submission deadline for the call below has been postponed to August 7.

++ CVAUI2024@ICPR2024 ++

The 6th Workshop on Computer Vision for Analysis of Underwater Imagery

CVAUI 2024 Virtual Workshop, December 1, 2024

to be held in conjunction with the 27th International Conference on Pattern Recognition 2024 (ICPR 2024), Kolkata, India and online (December 1-5, 2024)

++ CALLS FOR PAPERS ++

We invite submissions to CVAUI 2024 from all areas of computer vision and image analysis relevant for, or applied to, underwater imagery. Topics of interest include, but are not limited to:

  • robust vision in challenging conditions

  • underwater image formation models

  • underwater image restoration or enhancement

  • physical models of reflectance and light transport, including multi-spectral or hyperspectral

  • underwater scene understanding

  • classification, detection, segmentation, tracking

  • (autonomous) visual underwater navigation and mapping by robots

  • monitoring and characterization of marine life (including fisheries research)

  • automatic video annotation and summarization

  • context-aware machine learning and image understanding

  • training data, benchmarks and synthetic data

  • (inverse) rendering and underwater scene representations

  • underwater calibration and parameter estimation ( e.g., of cameras, lights, or media)

++ Best Paper Award ++

The best paper will be awarded a prize of $500.
 

++ Important Dates ++

Submission open: June 15, 2024

Workshop paper submission deadline:  ==> August 7, 2024

Notification to authors : ==>  September 6, 2024

Camera-ready deadline: September 27, 2024

Workshop date: December 1, 2024

++ Publication ++

Fully peer-reviewed proceedings to be published in Springer Lecture Notes in Computer Science (LNCS) series.

++ Webpage ++

https://sites.google.com/view/underwatercv/tc5-workshops/6th-workshop-on-cvaui

 
CVAUI is supported by the Computer Vision for Underwater Environmental Monitoring Technical Committee 5 of the International Association of Pattern Recognition (IAPR), and sponsored by the IAPR and Ocean Networks Canada.

++ Scientific Committee ++

  1. David Nakath (PhD) Post-Doc, Marine Data Science, Dept. of Computer Science, University of Kiel, Schleswig-Holstein, Germany

  2. Maia Hoeberechts (PhD) Associate Director, Learning & Community Engagement, Ocean Networks Canada and Adjunct Professor, Department of Computer Science, University of Victoria, BC, Canada

  3. Kevin Köser (PhD), Professor, Marine Data Science, Dept. of Computer Science  University of Kiel, Schleswig-Holstein, Germany

  4. Alexandra Branzan Albu (PhD) Professor, Electrical and Computer Engineering, University of Victoria, BC, Canada

++ Technical Program Committee ++

  • Andreas Birk – Constructor-University Bremen, Germany

  • Claire Dune – Université de Toulon, France

  • Duane Edgington – Monterey Bay Aquarium Research Institute, California, USA

  • Maxime Ferrera – IFREMER, Underwater Robotics Lab, France

  • Bob Fisher – School of Informatics, University of Edinburgh, UK

  • Rafael Garcia – University of Girona, Spain

  • Hervé Glotin – Institut Universitaire de France and Université de Toulon, France

  • Nina S. T. Hirata – University of São Paulo, Brazil

  • Anthony Hoogs –  Kitware Inc., New York, USA

  • Jules Jaffe – UCSD/Scripps, USA

  • Reinhard Koch – University of Kiel, Germany

  • Jianping Li – Shenzhen Institutes of Advanced Technology / CAS, China

  • Fabio Menna – Fondazione Bruno Kessler, Italy

  • Rudolf Mester – NTNU, Norway

  • Tim Nattkemper – Bielefeld University, Germany

  • Erica Nocerino – Università degli Studi di Sassari Italy

  • Annette Stahl – NTNU, Norway

  • Katie Skinner – University of Michigan, USA

  • Gaowang Wang – Zhejiang University, China

AAAI 2024 Fall Symposium on “Unifying Representations for Robot Application Development” (UR-RAD)

2ND CALL FOR PAPERS
What:  AAAI 2024 Fall Symposium on Unifying Representations for Robot Application Development (UR-RAD)
When: November 7-9, 2024
Where: Arlington, VA
IMPORTANT DATES
Submission deadline: August 2nd
Decision Notification: August 16th
Camera Ready Deadline: August 30th (this is a hard deadline for authors who wish to be included in the AAAI proceedings)
Dear colleagues,

We invite you to submit a paper and/or participate in the 2nd AAAI Fall Symposium on Unifying Representations for Robot Application Development (UR-RAD). Accepted papers will be presented in person only (though participants who are not presenting may attend remotely).

Capturing a desired task or interaction as a computational artifact (i.e., a representation) has long played a pivotal role in robotics. Many robotic subfields have traditionally employed a variety of different representational techniques, such as LTL, planning languages, social representations, natural language, and many more. The problem is that there is a lack of cohesion in when and how these representations are applied. The 2nd symposium on Unifying Representations for Robot Application Development (UR-RAD) thereby aims to increase representational cohesion between AI and robotics researchers, identify representational trends in robotics and opportunities for adopting new representations, foster cross-institutional collaborations, and make an impact beyond the symposium.

Symposium Website: https://sites.google.com/view/aaai-ur-rad-symposium/home
AAAI Fall Symposium Series Website: https://aaai.org/conference/fall-symposia/fss24/

=========================
Submission Topics of Interest
=========================

– Representational trends

– Representations for robot learning
– AI planning for robotics
– Formal methods in robotics
– Natural language as a representation
– Novel representations & novel representation uses
– Representations for user interfaces
– Robot end-user development
– Robot programming interfaces & paradigms
– Robot runtime/control environments
– Opportunities for standardization
– Frameworks (e.g., ROS or middleware)
– Open-source & collaboration initiatives
– Identifying representation requirements

====================
Submission Information
====================

We invite the following contributions, formatted using the AAAI-24 author kit:

  • Research Papers (4-6 pages excluding references): describes work related to the topics above.
  • Position Papers (2-4 pages excluding references): discusses topics outlined above.
  • Artifact Papers (2-4 pages excluding references): describes artifacts (e.g., software tools or libraries) related to the topics above.
Papers submitted by the above dates can be included in the AAAI Proceedings.

If you intend to submit a paper, please email us at urrad.symposium@gmail.com” style=”margin:0px” target=”_blank”> urrad.symposium@gmail.com. Use the subject line, “[UR-RAD] Intent to Submit”, and include the following in the body of the message: (1) a tentative title, (2) a tentative author list, and (3) tentative keywords. This step is optional, but will aid in our planning for reviewers. Note that at least one author from each paper will be expected to review 2-3 UR-RAD papers themselves.

===================
Organizing Committee
===================

David Porfirio (Chair, Naval Research Laboratory)
Saad Elbeleidy (Peerbots)
Ruchen Wen (University of Maryland, Baltimore County)
Laura M. Hiatt (Naval Research Laboratory)
Mark Roberts (Naval Research Laboratory)
Willie Wilson (Franklin & Marshall College)
Ross Mead (Semio)
Laura Stegner (University of Wisconsin–Madison)

Contact urrad.symposium@gmail.com” style=”margin:0px” target=”_blank”> urrad.symposium@gmail.com for any questions!

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