DeepLearn 2023 Spring: early registration March 13

March 1st, 2023 Daniela Lopez de Luise
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9th INTERNATIONAL SCHOOL ON DEEP LEARNING

DeepLearn 2023 Spring

Bari, Italy

April 3-7, 2023

https://deeplearn.irdta.eu/2023sp/

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Co-organized by:

Department of Computer Science
University of Bari “Aldo Moro”

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

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Early registration: March 13, 2023

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SCOPE:

DeepLearn 2023 Spring 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 deep learning. Previous events were held in Bilbao, Genova, Warsaw, Las Palmas de Gran Canaria, Guimarães, Las Palmas de Gran Canaria, Luleå and Bournemouth.

Deep learning is a branch of artificial intelligence covering a spectrum of current exciting research and industrial innovation that provides more efficient algorithms to deal with large-scale data in a huge variety of environments: computer vision, neurosciences, speech recognition, language processing, human-computer interaction, drug discovery, health informatics, medical image analysis, recommender systems, advertising, fraud detection, robotics, games, finance, biotechnology, physics experiments, biometrics, communications, climate sciences, bioinformatics, geographic information systems, etc. etc. Renowned academics and industry pioneers will lecture and share their views with the audience.

Most deep learning subareas will be displayed, and main challenges identified through 22 four-hour and a half courses and 3 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 recruitment 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, DeepLearn 2023 Spring 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:

DeepLearn 2023 Spring will take place in Bari, an important economic centre on the Adriatic Sea. The venue will be:

Department of Computer Science
University of Bari “Aldo Moro”
via Edoardo Orabona, 4
70125 Bari

STRUCTURE:

3 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.

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

KEYNOTE SPEAKERS:

Vipin Kumar (University of Minnesota), Knowledge-Guided Deep Learning: A Framework for Accelerating Scientific Discovery

William S. Noble (University of Washington), Deep Learning Applications in Mass Spectrometry Proteomics and Single-Cell Genomics

Emma Tolley (Swiss Federal Institute of Technology Lausanne), Physics-Informed Deep Learning

PROFESSORS AND COURSES:

Babak Ehteshami Bejnordi (Qualcomm AI Research), [intermediate/advanced] Conditional Computation for Efficient Deep Learning with Applications to Computer Vision, Multi-Task Learning, and Continual Learning

Patrick Gallinari (Sorbonne University), [intermediate] Physics Aware Deep Learning for Modeling Dynamical Systems

Sergei V. Gleyzer (University of Alabama), [introductory/intermediate] Machine Learning Fundamentals and Their Applications to Very Large Scientific Data: Rare Signal and Feature Extraction, End-to-End Deep Learning, Uncertainty Estimation and Realtime Machine Learning Applications in Software and Hardware

Jacob Goldberger (Bar-Ilan University), [introductory/intermediate] Calibration Methods for Neural Networks

Christoph Lampert (Institute of Science and Technology Austria), [intermediate] Training with Fairness and Robustness Guarantees

Yingbin Liang (Ohio State University), [intermediate/advanced] Bilevel Optimization and Applications in Deep Learning

Xiaoming Liu (Michigan State University), [intermediate] Deep Learning for Trustworthy Biometrics

Michael Mahoney (University of California Berkeley), [intermediate] Practical Neural Network Theory

Liza Mijovic (University of Edinburgh), [introductory/intermediate] Deep Learning & the Higgs Boson: Classification with Fully Connected and Adversarial Networks

Bhiksha Raj (Carnegie Mellon University), [introductory] An Introduction to Quantum Neural Networks [with Rita Singh, Daniel Justice and Prabh Baweja]

Holger Rauhut (RWTH Aachen University), [intermediate] Gradient Descent Methods for Learning Neural Networks: Convergence and Implicit Bias

Bart ter Haar Romeny (Eindhoven University of Technology), [intermediate/advanced] Explainable Deep Learning from First Principles

Tara Sainath (Google), [advanced] E2E Speech Recognition

Martin Schultz (Research Centre Jülich), [intermediate] Deep Learning for Air Quality, Weather and Climate

Hao Su (University of California San Diego), [intermediate/advanced] Neural Representation for 3D Capturing

Adi Laurentiu Tarca (Wayne State University), [intermediate] Machine Learning for Cross-Sectional and Longitudinal Omics Studies

Zhi Tian (George Mason University), [intermediate] Communication-Efficient and Robust Distributed Learning

Michalis Vazirgiannis (Polytechnic Institute of Paris), [intermediate/advanced] Graph Machine Learning with GNNs and Applications

Atlas Wang (University of Texas Austin), [intermediate] Sparse Neural Networks: From Practice to Theory

Guo-Wei Wei (Michigan State University), [introductory/advanced] Discovering the Mechanisms of SARS-CoV-2 Evolution and Transmission

Lei Xing (Stanford University), [intermediate] Deep Learning for Medical Imaging and Genomic Data Processing: from Data Acquisition, Analysis, to Biomedical Applications

Xiaowei Xu (University of Arkansas Little Rock), [intermediate/advanced] Deep Learning Language Models and Causal Inference

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 March 26, 2023.

INDUSTRIAL SESSION:

A session will be devoted to 10-minute demonstrations of practical applications of deep learning 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 March 26, 2023.

EMPLOYER SESSION:

Organizations searching for personnel well skilled in deep learning 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 company 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 March 26, 2023.

ORGANIZING COMMITTEE:

Giuseppina Andresini (Bari, local co-chair)
Graziella De Martino (Bari, local co-chair)
Corrado Loglisci (Bari, local co-chair)
Donato Malerba (Bari, local chair)
Carlos Martín-Vide (Tarragona, program chair)
Paolo Mignone (Bari, local co-chair)
Sara Morales (Brussels)
Gianvito Pio (Bari, local co-chair)
Francesca Prisciandaro (Bari, local co-chair)
David Silva (London, organization chair)
Gennaro Vessio (Bari, local co-chair)

REGISTRATION:

It has to be done at

https://deeplearn.irdta.eu/2023sp/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.

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 are available at

https://deeplearn.irdta.eu/2023sp/accommodation/

CERTIFICATE:

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

QUESTIONS AND FURTHER INFORMATION:

david@irdta.eu

ACKNOWLEDGMENTS:

University of Bari “Aldo Moro”

Rovira i Virgili University

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10th International Conference on Behavioural and Social Computing (BESC 2023): First Call for Papers and Special Session Proposals

March 1st, 2023 Daniela Lopez de Luise
*** First Call for Papers and Special Session Proposals ***

10th International Conference on Behavioural and Social Computing (BESC 2023)

October 30 – November 1, 2023, 5* Golden Bay Beach Hotel, Larnaca, Cyprus

The International Conference on Behavioural and Social Computing (BESC) is a major
international forum that brings together academic researchers and industry practitioners from
artificial intelligence, computational social sciences, natural language processing, business
and marketing, and behavioural and psychological sciences to present updated research
efforts and progresses on foundational and emerging interdisciplinary topics of BESC,
exchange new ideas and identify future research directions.

The BESC series of conferences are technically sponsored by IEEE SMC (Systems, Man and
Cybernetics) Society as well as IEEE CIS (Computational Intelligence Society) (currently pending
approval for the 2023 edition) and the proceedings are published by IEEE

BESC 2023 invites submissions of original, high-quality research papers addressing
cutting-edge developments from all areas of behavioural and social computing. The
conference aims to bring together researchers and practitioners from academia and industry to
share their knowledge, experience, and perspectives on the latest trends, challenges, and
opportunities in this rapidly evolving field. Topics of interest include, but are not limited to:

Social Computing, Computational Social Science and Applications
• Computational models of social phenomena
• Social behaviour
• Social network analysis
• Semantic web
• Collective intelligence
• Security, privacy, trust in social contexts
• Social recommendation
• Social influence and social contagions
• Quantifying offline phenomena through online data
• Forecasting of social phenomena
• Science and technology studies approaches to computational social science
• Social media and health behaviours
• Social psychology and personality
• New theories, methods, and objectives in computational social science

Digital Humanities
• Digital media
• Digital humanities
• Digital games and learning
• Digital footprints and privacy
• Crowd dynamics
• Digital arts
• Digital healthcare
• Activity streams and experience design
• Virtual communities (e.g., open-source, multiplayer gaming, etc.)

Information Management and Information Systems (IS)
• Decision analytics
• E-Business
• Decision analytics
• Computational finance
• Societal impacts of IS
• Human behaviour and IS
• IS in healthcare
• IS security and privacy
• IS strategy, structure and organizational impacts
• Service science and IS

Natural Language Processing
• Web mining and its social interpretations
• Sentiment Analysis, Stylistic Analysis, and Argument Mining
• Opinion mining and social media analytics
• Credibility of online content
• Computational Linguistics
• Mining big social data
• Cognitive Modelling and Psycholinguistics

Behaviour and User Modelling, Privacy, and Ethics
• Behaviour change
• Positive technology
• Personalization for individuals, groups and populations
• Large scale personalization, adaptation and recommendation
• Web dynamics and personalization
• Privacy, perceived security and trust
• Technology and Wellbeing
• Ethics of computational research on human behaviour

Technology Enhanced Learning (TEL)
• E-Learning and M-Learning
• Open and Distance Learning
• User modeling and personalization in TEL
• TEL in secondary and in higher education
• New tools for TEL
SUBMISSION INSTRUCTIONS

The paper submission system is using Easy Chair and the submission link is:

All papers will be reviewed by the Program Committee on the basis of technical quality,
relevance to BESC 2023, originality, significance and clarity.

Please note:
• All submissions should use IEEE two-column style. Templates are available here:
• All papers must be submitted electronically through the paper submission system in PDF
format only. BESC 2023 accepts research papers (6 pages), special session papers (6 pages)
and Doctoral Symposium papers (4 pages).
• The page count above excludes the references (but includes any appendices).
• Paper review will be double-blind, and submissions not properly anonymized will be
desk-rejected without review.
• Submitted papers must not substantially overlap with papers that have been published or
that are simultaneously submitted to a journal or a conference with proceedings.
• Papers must be clearly submitted in English and will be selected based on their originality,
timeliness, significance, relevance, and clarity of presentation.
• Submission of a paper should be regarded as a commitment that, should the paper be
accepted, at least one of the authors will register and attend the conference to present the
work.
• All accepted papers will be included in IEEE Xplore and indexed by EI. Top quality papers
after presented in the conference will be selected for extension and publication in several
special issues of international journals, e.g., World Wide Web Journal (Springer), Web
Intelligence (IOS Press), and Social Network Analysis and Mining (Springer), Human-Centric
Intelligent Systems (Springer), Information Discovery and Delivery (Emerald Publishing).
SPECIAL SESSION PROPOSALS

The Organizing Committee invites proposals for Special Sessions that cover any topic related
to BESC. Special Sessions can also cover any other area focusing on challenging open problems
of relevance in applications on Behavioural, Economic, and Socio-Cultural Computing.

Papers accepted in the Special Sessions will be included in the same conference volume with
those accepted in the main track and will be candidates for being invited to the journal special
issues that will be organised for BESC 2023.

The proposals for organising Special Sessions should be submitted to the Special Sessions
Chairs by the indicated deadline. A proposal should be submitted in PDF, be no longer than 2
pages in length, and contain the following:
(i) Title of the proposed Special Session.
(ii) Names, affiliations and contact information of the proposers.
(iii) Names and affiliations of the Program Committee of the proposed Special Session.
(iv) Description of the proposed Special Session, including the covered topics and the rationale
as to why it fits into the themes of BESC.
(v) A dissemination plan of the CFP for the proposed Special Session that the proposers will
undertake, if their proposal is accepted.
IMPORTANT DATES

• Submission of Special Session proposals:  10 April 2023
• Acceptance notification for Special Session proposals: 15 April 2023

• Submission of all papers: 15 July 2023
• Notification of acceptance for submitted papers: 15 September 2023

• Camera-Ready Submission: 1 October 2023
• Author Registration: 1 October 2023
ORGANISATION

Steering Committee Chair
• Guandong Xu, University of Technology Sydney, Australia

General Chair
• George A. Papadopoulos, University of Cyprus, Cyprus

Program Chairs
• Georgia Kapitsaki, University of Cyprus, Cyprus
• Ji Zhang, University of Southern Queensland, Australia

Special Session Chairs
• Taotao Cai, University of Southern Queensland, Australia (taotao.cai AT usq.edu.au)
• Ting Yu, Zhejiang Lab, China (yuting AT zhejianglab.com)

Doctoral Symposium Chair
• Barbara Caci, University of Palermo, Italy

Panel and Tutorial Chair
• Philippe Fournier-Viger, Shenzhen University, China

Proceedings Chair
• Md Rafiqul Islam, University of Technology Sydney, Australia

Publicity Chairs
• Chandan Gautam, Institute for Infocomm Research (I2R), A*STAR, Singapore
• Thanveer Shaik, University of Southern Queensland, Australia
• Sanjay Sonbhadra, ITER, Siksha 'O' Anusandhan, India

Webmaster
• Shiqing Wu, University of Technology Sydney, Australia

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ROMAN 2023 Special Session, “Cognitive Architectures for Personalized Assisitive Robots”

March 1st, 2023 Daniela Lopez de Luise

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Call for Papers – Special Session ROMAN'23 – Cognitive Architectures for Personalized Assistive Robots

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Dear colleagues,
We are pleased to invite you to the special session, “Cognitive Architectures for Personalized Assistive Robots” at ROMAN 2023. (Code: 77nn6)
Please see below for details.
** Our apologies for cross-postings **

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Special Session on Cognitive Architectures for Personalized Assistive Robots
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Conference: 32nd IEEE International Conference on Robot and Human Interactive Communication (IEEE RO-MAN 2023)
Submission site: http://ras.papercept.net/ (Code: 77nn6)
Location: Paradise Hotel in Busan, South Korea
Date: August 28 to 31, 2023

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Important Dates
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Paper Submission Deadline: March 17, 2023 (AoE)

Notification of Acceptance: May 26, 2023

Final Paper Submission: June 30, 2023
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Aim and Scope
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Assistive robots are becoming an integral part of our daily lives in a variety of roles, such as caretakers, cleaning robots, home assistants, and autonomous vehicles. However, developing general-purpose assistive robots is challenging, as it requires cognitive architectures that integrate multiple knowledge sources and reasoning elements to perform necessary tasks in the real world. For example, consider a household assistive robot setting up a breakfast table. This task requires a cognitive architecture with integrated knowledge about household objects (e.g., cereal box), relations between different objects (e.g., cereal can be poured from cereal box into a bowl), relations between objects and household contexts (e.g., cereal box can be found in the kitchen), and a reasoning framework on how to use the learned knowledge to perform household tasks (e.g., setting up a table for breakfast requires a cereal box). Creating such integrated cognitive architectures may result in breakthroughs in artificial intelligence and assistive robotics.

Another challenge in developing cognitive architectures for assistive robots is that these architectures must be personalized to their users’ needs and environments. For example, for the household assistive robot, each user might have personal preferences about the kind of breakfast they like and might have a particular set of utensils in their home. In such cases, it is imperative for the assistive robot to learn the user preferences and the environment, through interaction with the user. Although extensive research has been conducted for developing cognitive architectures for social companion robots, home assistant robots, cognitive assistance robots, etc., many of these architectures are not developed to be personalized to their users. Therefore, in this special session, we focus on cognitive architectures for personalized assistive robots that could interact with and learn from their users to effectively assist the users with the necessary tasks. Our goal is to bring together researchers in multidisciplinary fields (e.g., Human-Robot Interaction (HRI), Artificial Intelligence (AI), Machine Learning (ML), and cognitive science) to present and discuss theoretical foundations, real-world applications, and HRI studies with assistive robots.

The primary list of topics of interest includes, but is not limited to:
  • Cognitive architectures for robots
  • Brain-inspired cognitive architectures
  • Semantic reasoning frameworks 
  • Interactive task learning
  • Interactive reinforcement learning
  • Lifelong learning
  • Embodied neural networks
  • Human-robot teaching
  • Long-term human-agent or multi-agent interactions
  • Explainable and interpretable AI systems
  • Robot control for assistive tasks
  • Interactive and Intelligent interfaces for HRI
  • Personalization for assistive robots
  • Acceptability of robotic systems
  • Human perceptions of assistive robots
  • Healthcare robotics
  • Home assistance robots
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Contributions
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Authors should submit their papers electronically in PDF format via the Papercept submission site. For the initial submission, a manuscript can be 6-8 pages including references. For the final submission, a manuscript should be 6 pages, With 2 additional pages allowed at an extra charge (TBA).

All papers are reviewed using a single-blind review process: authors declare their names and affiliations in the manuscript for the reviewers to see, but reviewers do not know each other's identities, nor do the authors receive information about who has reviewed their manuscript.
Authors should use the templates provided by the electronic submission system. The templates for US Letter format paper should be used. Please use the following templates:

Templates: LaTeX or MSWord
Special Session Code: 77nn6
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Organizers
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• Ali Ayub, University of Waterloo, (a9ayub@uwaterloo.ca)
• Patrick Holthaus, University of Hertfordshire, (p.holthaus@herts.ac.uk)

Regards,

Ali Ayub (on behalf of all the organizers)

THIS WEEK | EURASIP Journal on Image and Video Processing’s FREE Webinar on 2 March 2023

March 1st, 2023 Daniela Lopez de Luise
We hope you can join us on THURSDAY, MARCH 2ND at 12:30PM CET for our
next 1-hour webinar with Fernando Pérez-González on “What's Up with
Image and Video Forensics!”

[6:30 a.m. New-York] – [12:30 p.m. Paris/Vigo] – [6:30 p.m. Beijing]

TO JOIN THE WEBINAR, PLEASE REGISTER TO RECEIVE MORE DETAILS ON HOW TO
CONNECT. The registration form can be found at:
https://forms.gle/9JCc6NBgM1x2kZK6A.
*If you wish to promote a EURASIP journal special issue, conference,
event, or new image/video database at an upcoming webinar, please reply
to this email with additional details.

TITLE: What's Up with Image and Video Forensics?

ABSTRACT: This talk will be a journey through more than 20 years of
research in video & image forensics, which was born to respond to
challenges of the digital era such as integrity and authenticity
verification and source attribution. We will examine some of the
characteristics that have made it possible, from the use of intrinsic
features in the acquisition devices, such as lens aberration or
demosaicing filters to the traces left by the postprocessing, in order
to grasp how methods have evolved from making use of relatively simple
statistical models to much more complex ones that rely on deep learning.
In particular, we will see this evolution with two classic problems: 1)
the identification of the device that captured a given image, to which
the use of the PRNU (Photo Response Non-Uniformity) opened the door and
which has currently expanded the type of fingerprints that can be
extracted and used successfully, and 2) the detection and localization
of image manipulations through the traces of double compression, which
now benefits from the ability of DNNs to learn models with richer
dependencies.
But not only forensic techniques have evolved: first, the popularization
of computational photography with lens distortion corrections,
high-dynamic range algorithms, video stabilization or AI-based filters,
etc.; second, the ever more prevalent use of social networks for image
and video exchange often with proprietary transcoding; and third, the
advent of Deep Fakes, imply that many of the techniques developed in the
past must be continuously revised to respond to all these novel and
demanding challenges.
Last, we will briefly discuss the ethical and legal implications of
image and video forensics, especially when it comes to the use of AI.

BIO: Fernando Pérez-González is a Professor with the School of
Telecommunication Engineering, University of Vigo, Spain, where he leads
the Signal Processing for Communications Group. In the late 90's, he did
pioneering work in the use of statistical and information theoretic
techniques for digital watermarking and later moved to multimedia
forensics and privacy-preserving signal processing. He has published
more than 250 papers in international journals and conference
proceedings and has co-authored 15 patent families. He has been
Principal Investigator of more than 45 contracts with industry.
Fawrensian, the commercial image forgery localization software he
developed with his team, is used worldwide to verify the integrity of
more than 1 million documents daily. He is currently involved in two
European projects: UNCOVER, that is pushing the state of the art in
steganalysis, and TRUMPET, which develops secure tools to minimize
privacy leakage in federated learning. He has been Senior Area Editor of
the IEEE Transactions on Information Forensics and Security, and Editor
in Chief of the EURASIP Journal on Information Security. Fernando is a
Fellow of the IEEE and of the AAIA, and member of the Royal Galician
Academy of Sciences.

Webinar videos are available online at
https://vimeo.com/showcase/8005816.

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IARIA Congress 2023 || November 13 – 17, 2023 – Valencia, Spain

February 28th, 2023 Daniela Lopez de Luise

 

IARIA Congress 2023

The 2023 IARIA Annual Congress on Frontiers in Science, Technology, Services, and Applications

November 13 – 17, 2023 – Valencia, Spain

 

 

Invitation:

Please consider to contribute to and/or forward to the appropriate groups the following opportunity to submit and publish original scientific results to:

IARIA Congress 2023, The 2023 IARIA Annual Congress on Frontiers in Science, Technology, Services, and Applications

IARIA Congress 2023 is scheduled to be November 13 – 17, 2023 in Valencia, Spain

Submission (full paper) deadline: August 10, 2023

Authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals.

All events will be held in a hybrid mode: on site, prerecorded videos, voiced presentation slides, pdf slides.

Contribution formats:

  • regular papers [in the proceedings and digital library]
  • short papers (work in progress) [in the proceedings and digital library]
  • ideas: two pages [in the proceedings and digital library]
  • extended abstracts: two pages [in the proceedings and digital library]
  • posters: two pages [in the proceedings and digital library]
  • posters: slide only [slide-deck posted on www.iaria.org]
  • presentations: slide only [slide-deck posted on www.iaria.org]
  • demos: two pages [posted on www.iaria.org]

Extended versions of selected papers will be published in IARIA Journals.

Print proceedings will be available via Curran Associates, Inc.

Articles will be archived in the free access ThinkMind Digital Library.

The topics suggested by the conference can be discussed in term of concepts, state of the art, research, standards, implementations, running experiments, applications, and industrial case studies. Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas.

All tracks are open to both research and industry contributions. Before submission, please check and comply with the Editorial Rules.

IARIA Congress 2023 Tracks

A. Learning/Social/Health/Human-Machine/Metaverse

Learning: Education, Learning, Online learning, etc.
Social: Social Networking, Fake news, Digital awareness, Personal devices, etc.
Health: Healthcare, Well-being, Medical Systems, Medical informatics (AI, Extended reality, Big Data, Personal Data protection), Remote medicine, Disorders, Body self-consciousness, Personal and assisted living, etc.
Human-machine: Human-centric Systems, Personalized interfaces Citizen-centered systems, Personalized Interfaces, Human-machine interaction, etc.
Metaverse: Virtual Worlds, Immersion, Augment Reality, Extended reality applications, etc.

B. Data/Software/Multimedia/Visualization

Data: Data Science, Big/Huge Data, Data-as-a-Service, Data Visualization, Data patterns, etc.
Software: Software Engineering, Requirements, Testing, Validation, Simulation, Platforms, etc.
Multimedia: Multimedia Content, 3D Multimedia, Social multimedia, Multimedia Analytics, Multimedia Search, Multimedia Networking and Streaming, etc.
Visualization: Computer graphics, Scientific visualization, Animation, Medical Visualization, etc.

C. Systems/Cloud/Networks/Internet/IoT/Signal

Systems: Software-based Systems, Autonomous Systems, Systems of Systems, Complex systems, Embedded systems, On-chip systems, Real-time systems, Scalability, etc.
Cloud: Cloud and Fog/Edge/Cloudlets Computing, Virtualization, Softwarization, Cloud-based applications, etc.
Networks: Networks, Protocols, Networked Services, Cognitive management, SDN/NFV, Slices, High-speed networks, etc.
Internet: Basic Internet, Tactile Internet, Haptic Internet, Holographic Internet, Dark Internet, etc.
IoT: Internet of Things, Connected appliances, Wearable devices, IoT Hubs, IoT-based security
Signal: Signal Processing/Communications, mmWave, 5G/6G, Terahertz, Spatial signals, Medical signal applications, etc.

D. Robotics/Intelligence/Sensing/Security/Vehicles

Robotics: Industrial Robotics, Humanoids, Cognitive robotics, Evolutionary swarm robotics; Robots-humans cohabitation; Mobile assistive robots, etc.
Intelligence: Artificial Intelligence, Machine Learning, Deep Learning, Datasets, Thinking Patterns, Cognitive decisions, Deep Thinking, Explainability, etc.
Sensors: New types of sensing, Sensing systems, Precision agriculture, Eco-systems sensing, Disaster sensing, etc.
Security: Cybersecurity, Blockchain, Security, Privacy, Data protection, Personal data, AI-enabled Security, etc.
Vehicles: Connected and Autonomous Vehicles, AI-based vehicles, Manned and Unmanned Autonomous Vehicles, etc.

E. Cities/Energy/Mobility/Wireless

Smart Cities: Smart Cities Systems, Urban Planning, Urban computing, Crowd tracking, Traffic sensing, etc.
Energy: Energy Systems, Energy supply, Green Energy. Electric vehicles, Power system protection, Power Grid, etc.
Mobility: Intelligent Transportation, Mobile Web of Things, Mobile Cloud services, Mobile social media, Mobile services, Mobile data, etc.
Wireless: Wireless communications, Wireless multimedia, Mobile computing, mmW wireless, 5G Wireless, Emergency wireless communications; Wireless real-time communications, etc.

 

Publicity Chairs:

Javier Rocher Morant, Universitat Politecnica de Valencia, Spain
Lorena Parra Boronat, Universitat Politecnica de Valencia, Spain
José Miguel Jiménez, Universitat Politecnica de Valencia, Spain

 

IARIA Publicity Board
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