Call for papers

December 2nd, 2022 Daniela Lopez de Luise

HEAd'23: Call for Papers

9th International Conference on Higher Education Advances

June 19 – 22, 2023. Valencia, Spain
https://headconf.org
twitter: @headconf

Scope

After the great success of the last HEAd conferences, with more than 250 participants from more than 50 countries, we are pleased to announce the 9th International Conference on Higher Education Advances (HEAd'23).

The HEAd'23 conference will be held fully in-person on June 19-22, 2023 on the Faculty of Business Administration and Management of the Universitat Politecnica de Valencia (UPV), which has been recently ranked as the best technical university in Spain by the Academic Ranking of World Universities (ARWU) 2022.

Topics of interest

The program committee encourages the submission of articles that communicate applied and empirical findings of interest to higher education professionals.

Topics of interest include, but are not limited to, the following topic areas:

  • Innovative teaching and learning experiences
  • Evaluation and assessment
  • Emerging educational technologies (e.g., Artificial Intelligence, Virtual Reality, Augmented Reality)
  • E-learning strategies and methodologies
  • New trends in HE research (e.g. new methodologies, topics)
  • Experiences outside the classroom (e.g., placements, mobility)
  • New teaching and learning theories and models
  • Globalization and internationalization
  • Comparative education
  • Managment and economics of education
  • Employability and entrepreneurship
  • Competency-based education
  • STEM and health education

Important Dates

Submission deadline: February 3, 2023
Acceptance notification: April 4, 2023
Camera ready due: April 23, 2023
Workshoos: June 19, 2023
Main conference: June 20-22, 2023

Publications

All accepted papers will appear in the conference proceedings with a DOI and ISBN number. They will be published in open access by UPV Press and submitted to be indexed in major international bibliographic databases. Previous editions are indexed in Scopus and the Thomson-Reuters Conference Proceedings Citation Index – Web of Science Core Collection.

Awards

The Program Committee will select the winners for the Best Paper and Best Student Paper awards. To be eligible for the best student paper award, the presenting author of the paper must be a full-time student.

Submission guidelines

Authors from all over the world are invited to submit original and unpublished papers, which are not under review in any other conference or journal. All papers will be peer reviewed by the program committee based on their originality, significance, methodological soundness, and clarity of exposition.

Submitted papers must be written in English and should be in PDF format. They must follow the instructions in the template file, available in Microsoft Word format at:

https://headconf.org/template.docx

Paper length must be between 4 and 8 pages, incorporating all text, references, figures and tables. Submissions imply the willingness of at least one author to register, attend the conference, and present the paper.

HEAd'23 is using the OCS platform of UPV Press to manage the submissions. This platform provides you with a submissions homepage where you can register your paper submission and make appropriate changes. The submission website is:

https://headconf.org/submission-instructions/

The organizing committee looks forward to welcoming you all to a fruitful conference with open discussions and important networking to promote high quality education.

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Taller CAS de IEEE sobre Electrónica Agroalimentaria – WAFE

December 2nd, 2022 Daniela Lopez de Luise

Taller CAS de IEEE sobre Electrónica Agroalimentaria – WAFE, que se llevará a cabo como un taller satélite de LASCAS 2023 en Quito, Ecuador, el 3 de marzo. WAFE es el taller de investigación de vanguardia que cubre circuitos y sistemas, integrando los sensores, actuadores e interfaces necesarios, aplicados a la cadena de valor Agroalimentaria, incluyendo tecnologías para alimentos relacionadas con su producción, procesamiento, control de calidad a lo largo de la cadena de distribución y conservación.

 Soluciones electrónicas innovadoras para:

  • Agricultura de precisión
  • Ganadería Inteligente
  • Enfrentando el Cambio Climático y el Calentamiento Global
  • Reducción de pesticidas
  • Optimización de Recursos
  • Mejor producción de alimentos
  • Seguridad Alimentaria
  • Procesamiento de alimentos
  • Transporte de Alimentos

 

Fechas importantes:

Envío de artículos 18 de diciembre de 2022

Notificación de aceptación 15 de enero de 2023

Versión Final, 30 de enero de 2023

 

Submission website: https://www.ieee-lascas.org

Atentamente,

 

Matías Miguez                                                                                   Alberto Sánchez
Universidad Católica del Uruguay                                                 Universidad San Francisco de Quito

 

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Live e-Lecture by Prof. Ioannis Pitas: “Social Impact of AI Science and Engineering: Information Filtering and Disinformation”, Thursday 8th December 2022, 17:00-18:00 CET (8:00-9:00 PST), (10:00-11:00 CST)

December 1st, 2022 Daniela Lopez de Luise

Dear AI enthusiast/scientist/engineer/student,

 

Prof. Ioannis Pitas, a prominent AI researcher internationally (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow, chair of the International AI Doctoral Academy), will deliver the e-lecture: 

“Social Impact of AI Science and Engineering: Information Filtering and Disinformation“, Thursday 8th December 2022, 17:00-18:00 CET (8:00-9:00 PST), (10:00-11:00 CST)

 

You can join for free without registration using the zoom link: https://authgr.zoom.us/j/94255772113 Passcode: 867064

 

Attendance is free.

 

Abstract: Our world is increasingly complex, in terms of both its material components (e.g., smart cities, infrastructure) and its social processes (e.g., social media outreach). Both individual humans and entire societies find it difficult to cope with world complexity.   For example, humans that are overexposed to a 24/7 information deluge through their mobile phones tend to develop the so-called Generalized OnLine Affect and Cognition (GOLAC) disorder. Its impact has not been studied sufficiently well. It can be devastating to minors and vulnerable people. It forms a good substate for conspiracy theories and disinformation.

 

Artificial Intelligence (AI) in general, and Machine Learning in particular, is our reply to world complexity. It allows us to handle a data flood, analyze data to produce information and use it not only to survive, but also to excel.  AI Science and Engineering enable social engineering, allowing us to devise social processes that change our society.

Information filtering is a prime example of social engineering. It encompasses many social processes: a) web search, b) recommendation systems for online product and service marketing, b) online match-making and c) news editing and broadcasting. Though they can have a very positive societal impact, they can also have adverse effects, if poorly implemented. For example, they can result in massive private data theft and use to fuel corporate profits.

 

Lack of information filtering can look like a heaven for freedom of speech.  Yet the opposite frequently happens in social media environments.  Irrationalism, cult culture, anti-intellectualism and anti-elitism pre-existed social media.  However, social media have unique characteristics (small world phenomenon, rich-get-richer phenomenon, GOLAC disorder) that boost such tendencies and fuel disinformation. Sentimental and conspiratorial speech propagates like wildfire. Why? Social media company policies favor such voices as they ensure user engagement (and their profits through marketing). The end result is that minority voices highjack the web and disinformation flourishes.  AI does provide tools, e.g., for deep fake news creation, that can be misused to fuel disinformation and threaten democratic societies. What is the way forward to defend democracy?

 

This lecture addresses several important questions on the interface between technology and society:

 

  • Why our world becomes ever more complex?
  • Can we cope with world complexity?
  • What is the relation between freedom of speech and information filtering?
  • What is the psychological background of on-line cults and conspiracy theories?
  • Why negative views propagate faster?
  • What is the relation of irrationalism, and anti-elitism, to social media disinformation?
  • How can we valorize our private data?

 

All the above issues are addressed in the new 1050+ page book “Artificial Intelligence Science and Society” consisting of four volumes (parts) debating all technical and social grand challenges of AI Science and Engineering in an understandable and scientifically accurate manner:

  1. “Artificial Intelligence Science and Society Part A: Introduction to AI Science and Information Technology“

https://www.amazon.com/dp/9609156460?ref_=pe_3052080_397514860

  1. “Artificial Intelligence Science and Society Part B: AI Science, Mind and Humans“

https://www.amazon.com/dp/9609156479?ref_=pe_3052080_397514860

  1. “Artificial Intelligence Science and Society Part C: AI Science and Society“

https://www.amazon.com/dp/9609156487?ref_=pe_3052080_397514860

  1. “Artificial Intelligence Science and Society Part D: AI Science and the Environment“

https://www.amazon.com/dp/9609156495?ref_=pe_3052080_397514860

 

About the Lecturer: This lecture and book are a result of a two-year effort by Prof. Ioannis. Pitas (IEEE fellow, IEEE Distinguished Lecturer, EURASIP fellow) and was influenced by his being principal investigator of 75+ R&D projects on Computer Vision, Machine Learning, Digital Media and chairing the International AI Doctoral Academy (AIDA). Prof. I. Pitas is Director of the Artificial Intelligence and Information Analysis (AIIA) lab at the Aristotle University of Thessaloniki (AUTH), Greece. He was chair and initiator of the IEEE Autonomous Systems Initiative (ASI). He has (co-)authored 15 books, 45 book chapters and over 950 papers in the above topics. He has 34500+ citations to his work and h-index 87+. He is ranked 319 worldwide and first in Greece in the field of Computer Science (2022).

 

This lecture is part of the SIG Icarus “AI days” lectures offered by the AIIA Computer Vision and Machine Learning (AIIA.CVML) R&D group of the  Artificial Intelligence and Information Analysis (AIIA) lab at the Aristotle University of Thessaloniki (AUTH), Greece. These lectures are disseminated through multiple channels and email lists (we apologize if you received it through various channels). 

 

Post scriptum: To stay current on CVML matters, you may want to register in the CVML email list, following instructions in: https://lists.auth.gr/sympa/info/cvml

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Free Webinar by Dr. Sébastien Marcel on Face Presentation Attack Detection

November 30th, 2022 Daniela Lopez de Luise

The IEEE Biometrics Council invites participants to the upcoming (free)
webinar by Prof. Sébastien Marcel on “Face Presentation Attack
Detection”. Detail on the webinar are given below:

Title: Face Presentation Attack Detection
Speaker: Prof. Sébastien Marcel, University de Lausanne/IDIAP, Switzerland
When: 7 December 2022, at 10am CET (5 pm CST, 4am ET)
Where: Online (Zoom)
Registration: (free, but required):
https://us06web.zoom.us/webinar/register/WN_qEuvpABRQt-f15358CeMuA

*** Talk Summary ***
In biometrics, Presentation Attacks (PA also referred to as spoofing)
are performed by falsifying the biometric trait and then presenting this
falsified information to the biometric system, one such example is to
fool a fingerprint system by copying the fingerprint of another person
and creating an artificial or gummy finger which can then be presented
to the biometric system to falsely gain access. This is an issue that
needs to be addressed because it has recently been shown that
conventional biometric techniques are vulnerable to presentation
attacks. One of the main challenges in Presentation Attack Detection
(PAD also referred to as anti-spoofing) is to find a set of features and
models (mostly classifiers) that allows systems to effectively
distinguish signals that were directly emitted by a human from those
reproduced by an attacker. This talk will present an overview of typical
face PAs and PAD techniques.

*** About the Speaker ***
Sébastien Marcel (IEEE Senior member – H-index 63) is Professor at the University de Lausanne (UNIL) at the School of Criminal Justice and lecturer at the Ecole Polytechnique Fédérale de Lausanne (EPFL) where he is teaching on “Biometrics” and “Fundamentals in Statistical Pattern Recognition” respectively. He serves on the Program Committee of several
scientific journals and international conferences in pattern recognition and computer vision. He is a senior researcher at the Idiap Research Institute (Switzerland), he heads the Biometrics Security and Privacy group and conducts research on face recognition, speaker recognition,
vein recognition, attack detection (presentation attacks, morphing attacks, deepfakes) and template protection. He received his Ph.D. degree in signal processing from Université de Rennes I in France (2000) at CNET, the research center of France Telecom (now Orange Labs). He is also the Director of the Swiss Center for Biometrics Research and Testing, which conducts certifications of biometric products. He is Associate Editor of IEEE Transactions on Biometrics and Identity Science. He was Associate Editor of IEEE Signal Processing Letters,
Associate Editor of IEEE Transactions on Information Forensics and Security, a Co-editor of the “Handbook of Biometric Anti-Spoofing”, a guest Editor of the IEEE Transactions on Information Forensics and Security Special Issue on “Biometric Spoofing and Countermeasures”, and
Co-editor of the IEEE Signal Processing Magazine Special Issue on “Biometric Security and Privacy”. He is also the lead Editor of the Springer Handbook of Biometrics Anti-Spoofing (Editions 1, 2 and 3).

For more information, visit:
https://ieee-biometrics.org/index.php/activities/webinars

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Call for Tutorial Proposals, ACM International Conference on Multimedia Retrieval 2023, Thessaloniki, Greece, 12 – 15 June 2023

November 30th, 2022 Daniela Lopez de Luise

***************************************************************

Call for Tutorial Proposals

https://icmr2023.org/call-for-tutorial-proposals/

 

ACM International Conference on Multimedia Retrieval 2023

Thessaloniki, Greece, 12 – 15 June 2023

 

Web: https://icmr2023.org/

****************************************************************

 

ACM ICMR 2023 encourage proposals of tutorials by qualified researchers on trendy and innovative topics of multimedia search and retrieval research. Tutorials are expected to have an educational slant rather than being a cursory survey of techniques, suited for graduate students and junior researchers interested in multimedia retrieval. Both half-day and full-day offerings are welcome. Hands-on tutorials are highly encouraged.

 

Topics for tutorial proposals include but are not limited to:

 

– Multimedia content-based search and retrieval

– Large-scale and web-scale multimedia retrieval

– Machine learning, deep learning for effective search

– Zero-shot learning and fine-grained retrieval for multimedia

– Crowdsourcing, community contributions, and social multimedia

– Emotion and sentiment analysis for multimedia search and retrieval

– User intent and human perception in multimedia retrieval

– Interactive recommendation systems

– Privacy-preserving multimedia search and retrieval

– Narrative generation and narrative analysis

– Multimedia browsing, summarization, and visualization

– Applications of multimedia retrieval, e.g., medicine, sports, commerce, lifelogs, travel, security, environment

 

Tutorials will be offered free of charge to ICMR23 registered attendees. Tutorialists will be entitled to a speaker registration fee waiver at the conference

 

_______________

 

IMPORTANT DATES

_______________

 

– Tutorial proposal Due: February 17, 2023

– Notification of acceptance: February 28, 2023

– Tutorial overview abstract (2 pages) Due: TBD

– Tutorials Day: TBD

 

_____________________

 

SUBMISSION GUIDELINES

_____________________

 

Proposals should be submitted by email to the Tutorials Chairs, either in plain-text or PDF format and should include the following information:

 

– Tutorial title;

– Tutorial duration: half- or full-day;

– Tutorial description: topics that will be covered, along with a brief outline and significant details.

– Proposer(s) information: name, title, affiliation, primary contact email, short bio, relevant publications with reference to the Tutorial topics.

– Materials to be distributed to attendees (if any).

– Prerequisites (if any)

 

For each accepted tutorial, a 2 pages tutorial overview abstract should be provided. The abstract is going to be included in the ACM ICMR proceedings. The submission of the abstract should be carried out using the ACM ICMR submission system.

 

_______

 

CONTACT

_______

 

For any questions regarding tutorial submissions, please email the Tutorials Chairs:

 

Alberto Del Bimbo, University of Firenze, Italy (alberto.delbimbo@unifi.it)

Ioannis Pitas, University of Thessaloniki, Greece (pitas@csd.auth.gr)

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