BigDat 2023 Summer: early registration March 7

7th INTERNATIONAL SCHOOL ON BIG DATA

BigDat 2023 Summer

Las Palmas de Gran Canaria, Spain

July 17-21, 2023

https://bigdat.irdta.eu/2023su

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Co-organized by:

University of Las Palmas de Gran Canaria

Institute for Research Development, Training and Advice – IRDTA
Brussels/London

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Early registration: March 7, 2023

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FRAMEWORK:

BigDat 2023 Summer is part of a multi-event called Deep&Big 2023 consisting also of DeepLearn 2023 Summer. BigDat 2023 Summer participants will have the opportunity to attend lectures in the program of DeepLearn 2023 Summer as well if they are interested.

SCOPE:

BigDat 2023 Summer will be a research training event with a global scope aiming at updating participants on the most recent advances in the critical and fast developing area of big data. Previous events were held in Tarragona, Bilbao, Bari, Timisoara, Cambridge and Ancona.

Big data is a broad field covering a large spectrum of current exciting research and industrial innovation with an extraordinary potential for a huge impact on scientific discoveries, health, engineering, business models, and society itself. Renowned academics and industry pioneers will lecture and share their views with the audience.

Most big data subareas will be displayed, namely foundations, infrastructure, management, search and mining, analytics, security and privacy, as well as applications to biology and medicine, business, finance, transportation, online social networks, etc. Major challenges of analytics, management and storage of big data will be identified through 14 four-hour and a half courses and 2 keynote lectures, which will tackle the most active and promising topics. The organizers are convinced that outstanding speakers will attract the brightest and most motivated students. Face to face interaction and networking will be main ingredients of the event. It will be also possible to fully participate in vivo remotely.

An open session will give participants the opportunity to present their own work in progress in 5 minutes. Moreover, there will be two special sessions with industrial and employment profiles.

ADDRESSED TO:

Graduate students, postgraduate students and industry practitioners will be typical profiles of participants. However, there are no formal pre-requisites for attendance in terms of academic degrees, so people less or more advanced in their career will be welcome as well. Since there will be a variety of levels, specific knowledge background may be assumed for some of the courses. Overall, BigDat 2023 Summer is addressed to students, researchers and practitioners who want to keep themselves updated about recent developments and future trends. All will surely find it fruitful to listen to and discuss with major researchers, industry leaders and innovators.

VENUE:

BigDat 2023 Summer will take place in Las Palmas de Gran Canaria, on the Atlantic Ocean, with a mild climate throughout the year, sandy beaches and a renowned carnival. The venue will be:

Institución Ferial de Canarias
Avenida de la Feria, 1
35012 Las Palmas de Gran Canaria

https://www.infecar.es/

STRUCTURE:

2 courses will run in parallel during the whole event. Participants will be able to freely choose the courses they wish to attend as well as to move from one to another.

Also, if interested, participants will be able to attend courses developed in DeepLearn 2023 Summer, which will be held in parallel and at the same venue.

Full live online participation will be possible. The organizers highlight, however, the importance of face to face interaction and networking in this kind of research training event.

KEYNOTE SPEAKERS:

Valerie Daggett (University of Washington), Dynameomics: From Atomistic Simulations of All Protein Folds to the Discovery of a New Protein Structure to the Design of a Diagnostic Test for Alzheimer’s Disease

Sander Klous (University of Amsterdam), How to Audit an Analysis on a Federative Data Exchange

PROFESSORS AND COURSES:

Paolo Addesso (University of Salerno), [introductory/intermediate] Data Fusion for Remotely Sensed Data

Marcelo Bertalmío (Spanish National Research Council), [introductory] The Standard Model of Vision and Its Limitations: Implications for Imaging, Vision Science and Artificial Neural Networks

Gianluca Bontempi (Université Libre de Bruxelles), [intermediate/advanced] Big Data Analytics in Fraud Detection and Churn Prevention: from Prediction to Causal Inference

Altan Çakir (Istanbul Technical University), [introductory/intermediate] Introduction to Distributed Deep Learning with Apache Spark

Ian Fisk (Flatiron Institute), [introductory] Setting Up a Facility for Data Intensive Science Analysis

Ravi Kumar (Google), [intermediate/advanced] Differential Privacy

Wladek Minor (University of Virginia), [introductory/advanced] Big Data in Biomedical Sciences

José M.F. Moura (Carnegie Mellon University), [introductory/intermediate] Graph Signal Processing and Geometric Learning

Panos Pardalos (University of Florida), [intermediate/advanced] Data Analytics for Massive Networks

Ramesh Sharda (Oklahoma State University), [introductory/intermediate] Network-Based Health Analytics

Steven Skiena (Stony Brook University), [introductory/intermediate] Word and Graph Embeddings for Machine Learning

Mayte Suarez-Farinas (Icahn School of Medicine at Mount Sinai), [intermediate] Meta-Analysis Methods for High-Dimensional Data

Ana Trisovic (Harvard University), [introductory/advanced] Reproducible Research, Best Practices and Big Data Management

Sebastián Ventura (University of Córdoba), [intermediate] Supervised Descriptive Pattern Mining

OPEN SESSION:

An open session will collect 5-minute voluntary presentations of work in progress by participants. They should submit a half-page abstract containing the title, authors, and summary of the research to david@irdta.eu by July 9, 2023.

INDUSTRIAL SESSION:

A session will be devoted to 10-minute demonstrations of practical applications of big data in industry. Companies interested in contributing are welcome to submit a 1-page abstract containing the program of the demonstration and the logistics needed. People in charge of the demonstration must register for the event. Expressions of interest have to be submitted to david@irdta.eu by July 9, 2023.

EMPLOYER SESSION:

Organizations searching for personnel well skilled in big data will have a space reserved for one-to-one contacts. It is recommended to produce a 1-page .pdf leaflet with a brief description of the organization and the profiles looked for to be circulated among the participants prior to the event. People in charge of the search must register for the event. Expressions of interest have to be submitted to david@irdta.eu by July 9, 2023.

ORGANIZING COMMITTEE:

Carlos Martín-Vide (Tarragona, program chair)
Sara Morales (Brussels)
David Silva (London, organization chair)

REGISTRATION:

It has to be done at

https://bigdat.irdta.eu/2023su/registration/

The selection of 8 courses requested in the registration template is only tentative and non-binding. For the sake of organization, it will be helpful to have an estimation of the respective demand for each course. During the event, participants will be free to attend the courses they wish as well as eventually courses in DeepLearn 2023 Summer.

Since the capacity of the venue is limited, registration requests will be processed on a first come first served basis. The registration period will be closed and the on-line registration tool disabled when the capacity of the venue will have got exhausted. It is highly recommended to register prior to the event.

FEES:

Fees comprise access to all courses and lunches. There are several early registration deadlines. Fees depend on the registration deadline.

The fees for on site and for online participation are the same.

ACCOMMODATION:

Accommodation suggestions will be available in due time at

https://bigdat.irdta.eu/2023su/accommodation/

CERTIFICATE:

A certificate of successful participation in the event will be delivered indicating the number of hours of lectures.

Participants will be recognized 2 ECTS credits by University of Las Palmas de Gran Canaria.

QUESTIONS AND FURTHER INFORMATION:

david@irdta.eu

ACKNOWLEDGMENTS:

Cabildo de Gran Canaria

Universidad de Las Palmas de Gran Canaria – Fundación Parque Científico Tecnológico

Rovira i Virgili University

Institute for Research Development, Training and Advice – IRDTA, Brussels/London

Computer Vision and Machine Learning (CVML) email list  www page: https://lists.auth.gr/sympa/info/cvml

SADIO – Curso virtual: Introduccion al Analisis Forense de Evidencias Digitales e Incidentes de Ciberseguridad

                                    “en la senda de Sadosky”

Curso virtual: Introducción al Análisis Forense de Evidencias Digitales e Incidentes de Ciberseguridad

Fecha de inicio: 6 de marzo de 2023.

Docente: Dra. Ing. Beatriz P. de Gallo. Especialista en Informática Forense

Duración: 48 (cuarenta y ocho) horas distribuidas en 6 (seis) semanas. 

Descripción: Propone capacitar a los asistentes dotándolos de conocimientos, metodologías y herramientas que le permitan iniciarse en el análisis forense digital, tanto en el ámbito de las pericias informáticas como en el contexto de los incidentes de ciberseguridad.

Fundamentos: La Forensia Digital se aplica principalmente en dos áreas: en el ámbito de la justicia mediante las pericias informáticas con la inclusión de las evidencias digitales, y en el ámbito empresarial cuando se analizan incidentes de seguridad informática y/o ciberseguridad. En ambos casos, es sustancial el proceso de recolección de evidencias digitales, así como el rigor procedimental y científico de la actuación del analista forense. Si bien la Informática Forense se inicia en los 90 cuando desde el ámbito de la justicia se requieren Peritos Informáticos con la aparición de las primeras evidencias digitales, hoy en día, el grado de avance de la inseguridad informática requiere de la formación de especialista en el abordaje e investigación de incidentes de ciberseguridad. Con la intención de iniciar al asistente en la realización del Análisis Forense Digital, se presenta el contexto de la Forensia Digital y se lo capacitará dotándolos de conocimientos, metodologías y herramientas que les permitan comprender acerca del rol, alcance y responsabilidades de quienes deseen actuar como Perito Informático y/o Analista Forense Digital.
Se abordarán cuestiones pluridisciplinarias que promueven un análisis forense más eficiente cuando se aborda desde el campo judicial, conformando equipos de trabajo con profesionales del área del derecho, la criminalística y las fuerzas de seguridad. Y también se brindará una base de conocimiento adecuada y suficiente sobre gestión de incidentes de ciberseguridad.

Objetivos:
Al finalizar el curso, se pretende que el asistente sea capaz de:

  • Conocer acerca del estado del arte de la Forensia Digital
  • Conocer acerca de las cuestiones básicas del Derecho Procesal aplicable a la realización de pericias informáticas
  • Desarrollar y explicar las características básicas del contexto de las Pericias Informáticas de los incidentes de Ciberseguridad
  • Comprender las fases del análisis forense digital
  • Comprender y desarrollar las guías metodológicas más usuales para realizar el análisis forense digital.
  • Identificar y aplicar el proceso de tratamiento de la evidencia digital en todas sus etapas.
  • Utilizar y evaluar diferentes herramientas forenses.

Dirigido a: Profesionales informáticos, Peritos informáticos, Responsables del área de Seguridad TI, Abogados, Lic. en Criminalística, Fuerzas de Seguridad responsables de obtención y análisis de evidencia digital.

Temario:

  • UNIDAD I – FORENSIA DIGITAL Y DELITOS INFORMÁTICOS: conceptos fundamentales vinculados a la Seguridad de la Información, Seguridad Informática, Ciberseguridad y Auditoría Forense. Antiforensia. Principios del Derecho y legislación relacionada con la Forensia Digital. Los delitos informáticos. Legislación Nacional e Internacional. Tipificación de los Delitos Informáticos.
  • UNIDAD II – METODOLOGÍAS DE LA FORENSIA DIGITAL: Protocolos y Normas de uso internacional. Familia de Normas ISO/IEC 27000:2015. Metodologías propias de la Forensia Digital (entornos IoT, Facebook, Base de Datos, entre otras). Metodologías para la gestión de incidentes de Ciberseguridad.
  • UNIDAD III – ACTUACIÓN FORENSE: Roles del Experto Informático en la Forensia Digital. La Ética del Analista Forense y el desempeño profesional. La actuación judicial del perito informático. Los puntos de pericia. Informe Pericial / de Análisis Forense. La Contrapericia. Escenarios delictivos en los entornos virtuales. Escenarios Forenses Complejos.
  • UNIDAD IV – EVIDENCIA DIGITAL Y DISPOSITIVOS SOPORTE: Evidencia y Prueba Digital. Tipos de evidencia digital. La Cadena de Custodia. Dispositivos Digitales (H+S+D). Estructura interna de la Evidencia Digital: memoria, disco, artefactos, redes, correo electrónico, imágenes. Nuevos soportes: Drones, entornos IoT.
  • UNIDAD V – HERRAMIENTAS FORENSES: Taxonomía NIST. Herramientas Forenses propias de cada tipo de evidencia. Herramientas Forenses Integradas. Kits de herramientas del Analista Forense. Triage Forense.
  • UNIDAD VI – TALLERES DE HERRAMIENTAS FORENSES: Operatividad de herramientas forense de acceso libre. Prácticas en modalidad taller de:
    – Recuperación de Archivos Borrados
    – Volcado de Memoria
    – Forensia de Correos Electrónicos
    – Forensia de Teléfonos Celulares
    – Forensia de Imágenes
    – Forensia de Incidentes de Seguridad

Distribución semanal de las actividades: el curso requiere de la disponibilidad de 8 (ocho) horas semanales, distribuidas en 1(un) encuentro sincrónico de 2(dos) horas y del desarrollo de actividades asincrónicas equivalentes a 6(seis) horas. La clase sincrónica semanal se desarrolla los miércoles de 19 a 21 hs, salvo la primera clase que será el jueves 9 de marzo de 19 a 21 hs.

Modalidad: Las clases son virtuales a través del campus de SADIO incluyendo una clase semanal de actividades virtuales sincrónicas. El material bibliográfico del curso, las presentaciones y los enunciados de las ejercitaciones y trabajos prácticos se colocarán a disposición de los asistentes en el campus virtual de SADIO.

Requisitos y Procedimientos de Evaluación:

– Para obtener el CERTIFICADO DE ASISTENCIA: Los asistentes deberán registrar un 80% de asistencia a las clases sincrónicas o visualizar las clases grabada en caso de no poder asistir.

– Para obtener el CERTIFICADO DE APROBACIÓN: Los asistentes deberán registrar un 80% de asistencia a las clases sincrónicas o visualizar las clases grabada en caso de no poder asistir. Y presentar y aprobar el 80% de los Talleres de Herramientas Forenses.

Aranceles (en pesos argentinos):
Inscripción temprana (hasta el 27/02/2023): $34.500
Inscripción tardía (desde 28/02/2023): $38.000
50% Descuento para socios de SADIO (con 12 meses de antigüedad)

Formulario de inscripción: https://tinyurl.com/2xk9asy2

Medios de pago disponibles:

– Pago por Transferencias Bancarias (solo para residentes en Argentina) a:
SADIO (CUIT 30-64931218-0)
BBVA – Sucursal 330 Tribunales
Cta. Cte. Pesos: 502/7
CBU: 0170330420000000050276

– Pago con Tarjeta de crédito/débito (Visa, Master o Cabal). Solicitar el botón de pago correspondiente a informacion@sadio.org.ar
Es posible pagar en cuotas con interés. Consulte. 

Antecedentes de la docente:
Dra. Ing. H. Beatriz P. de Gallo. Ingeniera en Computación (UCSE, 1985), Master en Administración de Negocios (UCASAL, 2006), Doctora en Ingeniería Mención Sistemas de Información (UTN-FRSF, 2019), Especialista en Informática Forense (UFASTA, 2022). Sus áreas de interés son Forensia Digital, Educación en Ingeniería y Ética en la Informática. Se desempeña como docente de carreras de posgrado de UCASAL, UFASTA, UTN-FRSF y UTN-FRCU. Dirige el GRUPO DE I+D+i SOBRE FORENSIA DIGITAL de la UCASAL y colabora con UFASTA (Argentina), Universidad Católica (Colombia), UNISANGIL (Colombia), UNIVA (México) y UniTECH (España) en temáticas relativas a la Forensia Digital. En el ámbito privado se desempeña como consultora en proyectos tecnológicos críticos, y es Perito Informático de parte.

Curso de programación para adolescentes

Gratis, virtual y desde cualquier lugar del país.

Buenos Aires Ciudad.
Aprendé programando.

¡Hola!

Te contamos que ya están abiertas las inscripciones para los cursos de programación destinados a estudiantes de secundaria de entre 15 y 18 años.

Van a aprender robótica, desarrollo web, sobre videojuegos, drones y ciencia de datos.

Los cursos son gratis, virtuales y se pueden hacer desde cualquier parte del país.

Las inscripciones finalizan el 24 de marzo. Tené en cuenta que los cupos son limitados y las clases empiezan el 3 de abril.

Es una gran oportunidad para que tus hijos den sus primeros pasos en tecnología.

Con educación, hay futuro.

Conocé más

*Las erogaciones realizadas son financiadas con recursos provenientes del aporte de los contribuyentes.

Buenos Aires Ciudad.

ICIAP 2023 – Call for Workshops and Competitions

ICIAP 2023 - 22nd International Conference on Image Analysis and Processing https://www.iciap2023.org
CALL FOR WORKSHOPS AND COMPETITIONS
We are soliciting proposals for workshops and competitions to be held together with the 22nd International Conference on Image Analysis and Processing (ICIAP 2023).
The workshops and competitions will take place on September 11st and 15th 2023, a day before and after the beginning of the main conference.
The purpose of workshops is to provide a comprehensive forum on any emerging or classic topics that will not be fully explored during the main conference and to encourage in-depth discussion of technical and application issues. The ICIAP 2023 organizers will collect workshop registrations, provide facilities, and distribute electronic copies of the workshop proceedings. All the accepted workshop papers will be published by Springer LNCS in a separate proceedings book.
Due to space and time limitations, as well as to encourage diversity of topic coverage, we will only be able to retain a limited number of proposals. Therefore, we encourage workshop organizers to submit proposals that are specific and detailed in justifying relevance and viability.
Proposals should be submitted in PDF format by email to workshops@iciap2023.org by April 7th, 2023. The proposals should include the following information:
1. TECHNICAL INFORMATION  - Workshop/Competition title.  - Topics that will be covered, with descriptions of why they are relevant.  - Description of how this proposal relates to previous workshops/competitions at ICIAP/ICPR/ECCV etc.    (be as specific as possible, also  describing similarities and dissimilarities with respect to the proposed event).  - Draft call for papers.   2. ORGANIZERS AND SPEAKERS  - Organizers’ names, titles and affiliations, with one, potentially two, contact emails.   - Background and experience that makes the proposers well suited for organizing the event, including brief bios.  - In case this event is part of a series, please provide URLs to the web pages of relevant past events and / or any other relevant information.  - List of invited speakers (if applicable). Important: Please list only speakers that confirmed or tentatively confirmed their attendance. For each speaker, please indicate if confirmation is tentative or final.  - List of expected papers.   3. LOGISTICS  - Preference for half-day or full-day event.  - Tentative program committee.  - Please indicate one of the following options describing the primary nature of your event:    * Competition   * Invited speaker event    * Peer reviewed paper event (orals / posters)   * Even split between invited speakers and peer reviewed papers   * Affinity workshop to create and strengthen communities (such as “Women in Computer Vision”)  - Please provide a paper or competition review timeline.  - If posters are considered, how many are expected? Note that the conference may limit the number of posters based on available space.   - Special space or equipment requests, if any.
Additional information on workshop organization  After acceptance, workshops will be required to prepare their own websites, separate from the ICIAP 2023 webpage. These pages will include workshop details, organizers, dates, submission instructions and, once finalized, the workshop program.
IMPORTANT DATES
- Workshop proposal deadline   07 April 2023
- Notification to workshop organizers   01 May 2023
- Workshop camera ready paper submission   20 August 2023
 CONTACTS
For any questions, please contact the workshop chairs Lauro Snidaro and Federica Arrigoni at workshops@iciap2023.org

Conferences: CASA 2023 Call for Papers

CALL FOR PAPERS

 

Computer Animation and Social Agents (CASA 2023)
Limassol, Cyprus, May 29-31, 2023

https://cyprusconferences.org/casa2023

 

 

The 36th International Conference on Computer Animation and Social Agents (CASA 2023) will be held on May 29-31, 2023, in Limassol, Cyprus. The conference is organized by the University of Cyprus and CYENS – Centre of Excellence. CASA is the oldest international conference in computer animation and social agents in the world. It was founded in Geneva in 1988 under the name of Computer Animation (CA). In the past few years, CASA was held in Europe (Belgium, Netherlands, France, Switzerland, UK, etc.), Asia (Korea, China, Singapore) and the United States. CASA 2023 will provide a great opportunity to interact with leading experts, share your own work, and educate yourself through exposure to the research of your peers from around the world.

 

IMPORTANT DATES

Submission for Special Issue of Computer Animation and Virtual World (CAVW)

Submission: February 24, 2023 (23:59 GMT)

Notification of acceptance: March 24, 2023

Camera ready:  April 21, 2023 (23:59 GMT)

Author Registration: April 21, 2023

 

Workshops and Tutorials proposal

Submission: March 31, 2023

Notification of acceptance:  April 21, 2023

 

Posters and Demos

Submission: March 31, 2023

Notification of acceptance:  April 21, 2023

 

 

PAPER SUBMISSION

We invite submissions of research full papers, short papers, and posters on a broad range of topics, including but not limited to Computer Animation, Embodied Agents, Social Agents, Virtual and Augmented Reality, and Visualization (see below for a detailed list).

 

Submitted papers will be reviewed by the program committee and papers of high quality will be referred for publication in the Computer Animation and Virtual Worlds (CAVW) journal published by Wiley. The papers accepted as is or with minor revision will be in a special issue. Those with major revision will be given a chance to resubmit and reviewed again by the conference PC for acceptance in a subsequent issue of CAVW. The rest will be either rejected or recommended for publication in conference proceedings. Authors will have to register and present the papers at the conference.

More details in terms of submission can be found in the Paper Submission section of CASA2023 website.

 

SCOPE AND LIST OF TOPICS

CASA invites submissions on a broad range of topics, including but not limited to:

 

Computer Animation

Social Agents

Other Related Topics (in VA/AR)

Motion Control

Motion Capture & Retargeting

Path Planning

Physics-based Animation

Vision-based Techniques

Behavioral Animation

Artificial Life

Deformation

Facial Animation

Image-based Animation

Multi-Scale Models

Knowledge-based Animation

Animation Compression & Transmission

Machine Learning for Animation

AI-based Modeling and Animation

Game-Based Learning

Social Agents and Avatars

Emotion and Personality

Virtual Humans

Autonomous Actors

AI-based Animation

Social and Conversational Agents

Inter-Agent Communication

Social Behavior

Crowd Simulation

Machine learning

Social Robots

 

Deep Learning methods

Artificial Agents in Virtual Reality

Mixed and Augmented Reality

Population Generation for Virtual Worlds

Virtual Cities

Virtual humans and avatars

Anthropometric Virtual Human Models

Digital clones

VR health applications

Shared Virtual Environments

Semantics & Ontologies for Animation in VR

Anthropometric Virtual Human Models

Acquisition & Reconstruction from Big Data

Cultural Heritage Applications

3D Physiological Humans

3D Telepresence

Haptics

 

Conference Co-Chairs

Andreas Aristidou (University of Cyprus, Cyprus)

Panayiotis Charalambous (CYENS CoE, Cyprus)

Nuria Pelechano (Universitat Politècnica de Catalunya – UPC, Spain)

 

Program Co-Chairs

Daniel Thalmann (École Polytechnique Fédérale de Lausanne – EPFL, Switzerland)

Andreas Aristidou (University of Cyprus)

Jungdam Won (Meta AI, Pittsburgh, USA)

 

Jury Chairs

Yiorgos Chrysanthou (CYENS CoE)

Kfir Aberman (Google Research, CA, USA)

 

 

For more information, please visit the CASA 2023 website: https://cyprusconferences.org/casa2023

 

 

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