IARIA Congress 2022 || July 24 – 28, 2022 – Nice, Saint-Laurent-du-Var, France

April 23rd, 2022 Daniela Lopez de Luise
– IARIA Congress 2022, The 2022 IARIA Annual Congress on Frontiers in Science, Technology, Services, and Applications

IARIA Congress 2022 is scheduled to be July 24 – 28, 2022 in Nice, Saint-Laurent-du-Var, France.

The submission deadline is May 22, 2022.

Authors of selected papers will be invited to submit extended article versions to one of the IARIA Journals: https://www.iariajournals.org

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

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============== IARIA Congress 2022 | Call for Papers ===============

CALL FOR PAPERS, TUTORIALS, PANELS

IARIA Congress 2022, The 2022 IARIA Annual Congress on Frontiers in Science, Technology, Services, and Applications

General page: https://www.iaria.org/conferences2022/IARIACongress22.html

Submission page: https://www.iaria.org/conferences2022/SubmitIARIACongress22.html

Event schedule: July 24 – 28, 2022

Contributions:

– regular papers [in the proceedings, digital library]

– short papers (work in progress) [in the proceedings, digital library]

– ideas: two pages [in the proceedings, digital library]

– extended abstracts: two pages [in the proceedings, digital library]

– posters: two pages [in the proceedings, digital library]

– posters:  slide only [slide-deck posted at www.iaria.org]

– presentations: slide only [slide-deck posted at www.iaria.org]

– demos: two pages [posted at www.iaria.org]

Submission deadline: May 22, 2022

Extended versions of selected papers will be published in IARIA Journals:  https://www.iariajournals.org

Print proceedings will be available via Curran Associates, Inc.: https://www.proceedings.com/9769.html

Articles will be archived in the free access ThinkMind Digital Library: https://www.thinkmind.org

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 Authors are invited to submit complete unpublished papers, which are not under review in any other conference or journal in the following, but not limited to, topic areas.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: https://www.iaria.org/editorialrules.html

IARIA Congress 2022 Topics (for topics and submission details: see CfP on the site)

Call for Papers: https://www.iaria.org/conferences2022/CfPIARIACongress22.html

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IARIA Congress 2022 Tracks (topics and submission details: see CfP on the site)

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.

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ICMLANT CALL FOR PAPERS

April 21st, 2022 Daniela Lopez de Luise

 
 
 
 
 

Dear Researcher / Academician,

With immense pleasure we would like to inform you that Call For Papers for the third IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT 2022) is now open!!! The conference will be held on 15-16 December 2022 at Universidad Don Bosco, El Salvador, will be jointly organized by Universidad Don Bosco El Salvador (UDB) and IEEE El Salvador Section.

ICMLANT will entice insightful plenary talks, keynote addresses, hands-on workshops, and tutorials by pioneers in academic research, industrial practice, and domain experts. Researchers, academicians, or industry people from multiple countries and diversified research areas will get an excellent opportunity to present in front of top leaders from academia, research as well as industry. The frontiers of research will be presented through submitted technical paper presentations.

Don't miss the golden opportunity to present your paper on our technologically diversified and worldwide platform.

Before submitting your manuscripts, have a checkpoint on the topics for submission cover the following area, but not limited to:

Artificial Intelligence and Machine Learning
Machine Learning and Deep Learning
Fuzzy Systems
Smart Manufacturing
Chatbots
Virtual Reality
Robotics

Cyber-Physical Systems
5G Network
Grid,Cloud & Accelerator Computing
Smart Cities
New networks models
Industry 4.0 Architectures
Cloud & Fog Computing

Internet of Things
Signal Processing
Intelligent Object Identification
IoT and Sensors
IoT in Healthcare and IoMT
Software-Defined Network (SDN)
IoT Developments for Sustainability
Signal Processing
Digital Signal Processing
Computer Vision
Sensors
Smart metering
Image & Video processing
Natural Language Processing

We have some prominent researchers from academia as our keynote speakers, who have significant contributions to technological research and development.

IMPORTANT DATES:
Submission of Full Paper: 31 August 2022
Notification of Acceptance: 15 October 2022
Submission of Camera Ready Papers: 5 November 2022
Authors Registration Deadline: 25 November 2022
Conference Dates: 15-16 December 2022

The authors with an EasyChair account, can submit their original, unpublished manuscripts by clicking on the following URL:

https://easychair.org/conferences/?conf=icmlant2022

All accepted and presented papers of ICMLANT 2022 will be submitted to IEEE Xplore Library and other major indexings.

Please visit our conference website (www.icmlant.com) to know detailed information about the registration process and author guidelines for submission.

In case you have any query, please feel free to write mail to us, we will be happy to assist you to enable your participation in ICMLANT 2022.

ICMLANT Chair
 
 
 
 

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Submit to a Special Issue in Smart Cities Journal: Advanced Communication Systems in the Smart Cities

April 21st, 2022 Daniela Lopez de Luise

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DeepLearn 2022 Autumn: early registration April 17

April 21st, 2022 Daniela Lopez de Luise
7th INTERNATIONAL SCHOOL ON DEEP LEARNING
 
DeepLearn 2022 Autumn
Luleå, Sweden
October 17-21, 2022
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Co-organized by:
Luleå University of Technology
EISLAB Machine Learning
Institute for Research Development, Training and Advice – IRDTA
Brussels/London
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Early registration: April 17, 2022
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SCOPE:
DeepLearn 2022 Autumn 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 and Las Palmas de Gran Canaria.
Deep learning is a branch of artificial intelligence covering a spectrum of current frontier 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, 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 24 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 2022 Autumn 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 2022 Autumn will take place in Luleå, on the coast of northern Sweden, hosting a large steel industry and the northernmost university in the country. The venue will be:
Luleå University of Technology
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:
Wolfram Burgard (University of Freiburg), Probabilistic and Deep Learning Techniques for Robot Navigation and Automated Driving
Tommaso Dorigo (Italian National Institute for Nuclear Physics), Deep-Learning-Optimized Design of Experiments: Challenges and Opportunities
Elaine O. Nsoesie (Boston University), AI and Health Equity
PROFESSORS AND COURSES:
Sean Benson (Netherlands Cancer Institute), [intermediate] Deep Learning for a Better Understanding of Cancer
Daniele Bonacorsi (University of Bologna), [intermediate/advanced] Applied ML for High-Energy Physics
Thomas Breuel (Nvidia), [intermediate/advanced] Large Scale Deep Learning and Self-Supervision in Vision and NLP
Hao Chen (Hong Kong University of Science and Technology), [introductory/intermediate] Label-Efficient Deep Learning for Medical Image Analysis
Jianlin Cheng (University of Missouri), [introductory/intermediate] Deep Learning for Bioinformatics
Peng Cui (Tsinghua University), [introductory/advanced] Towards Out-Of-Distribution Generalization: Causality, Stability and Invariance
Sébastien Fabbro (University of Victoria), [introductory/intermediate] Learning with Astronomical Data
Quanquan Gu (University of California Los Angeles), [intermediate/advanced] Benign Overfitting in Machine Learning: From Linear Models to Neural Networks
Jiawei Han (University of Illinois Urbana-Champaign), [advanced] Text Mining and Deep Learning: Exploring the Power of Pretrained Language Models
Awni Hannun (Zoom), [intermediate] An Introduction to Weighted Finite-State Automata in Machine Learning
Shirley Ho (Flatiron Institute), [intermediate] Structured Machine Learning for Simulations
Tin Kam Ho (IBM Thomas J. Watson Research Center), [introductory/intermediate] Deep Learning Applications in Natural Language Understanding
Timothy Hospedales (University of Edinburgh), [introductory/intermediate] Deep Learning with Limited Data
Shih-Chieh Hsu (University of Washington), [intermediate/advanced] Real-Time Artificial Intelligence for Science and Engineering
Andrew Laine (Columbia University), [introductory/intermediate] Applications of AI in Medical Imaging
Tatiana Likhomanenko (Apple), [intermediate/advanced] Self-, Weakly-, Semi-Supervised Learning in Speech Recognition
Maurizio Pierini (European Organization for Nuclear Research), [intermediate] Graph Networks for Scientific Applications with Examples from Particle Physics
Peter Richtárik (King Abdullah University of Science and Technology), [intermediate/advanced] Introduction to Federated Learning
Othmane Rifki (Spectrum Labs), [introductory/advanced] Speech and Language Processing in Modern Applications
Mayank Vatsa (Indian Institute of Technology Jodhpur), [introductory/intermediate] Small Sample Size Deep Learning
Yao Wang (New York University), [introductory/intermediate] Deep Learning for Computer Vision
Zichen Wang (Amazon Web Services), [introductory/intermediate] Graph Machine Learning for Healthcare and Life Sciences
Alper Yilmaz (Ohio State University), [introductory/intermediate] Deep Learning and Deep Reinforcement Learning for Geospatial Localization
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 October 9, 2022.
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 October 9, 2022.
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 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 October 9, 2022.
ORGANIZING COMMITTEE:
Nosheen Abid (Luleå)
Sana Sabah Al-Azzawi (Luleå)
Lama Alkhaled (Luleå)
Prakash Chandra Chhipa (Luleå)
Saleha Javed (Luleå)
Marcus Liwicki (Luleå, local chair)
Carlos Martín-Vide (Tarragona, program chair)
Hamam Mokayed (Luleå)
Sara Morales (Brussels)
Mia Oldenburg (Luleå)
Maryam Pahlavan (Luleå)
David Silva (London, organization chair)
Richa Upadhyay (Luleå)
REGISTRATION:
It has to be done at
The selection of 8 courses requested in the registration template is only tentative and non-binding. For logistical reasons, 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 participants are the same.
ACCOMMODATION:
Accommodation suggestions will be available in due time at
CERTIFICATE:
A certificate of successful participation in the event will be delivered indicating the number of hours of lectures.
QUESTIONS AND FURTHER INFORMATION:
ACKNOWLEDGMENTS:
Luleå University of Technology, EISLAB Machine Learning
Rovira i Virgili University
Institute for Research Development, Training and Advice – IRDTA, Brussels/London
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ICPR 2022 Workshop: 3rd International Workshop on Pattern Recognition for Cultural Heritage (PatReCH 2022)

April 21st, 2022 Daniela Lopez de Luise
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 3rd International Workshop on Pattern Recognition for Cultural Heritage (PatReCH 2022)

The enormous amount of artefacts and information that come from the past is increasingly and rapidly being digitized. However, the useful information contained in these data is not easy to exploit and some kind of analysis is needed. On the other hand, the digital representations of real objects require some kind of manipulation.

Recent machine learning and pattern recognition algorithms give the opportunity to analyze and manipulate the acquired data in order to better exploit the contained information and generate the best digital representation.

The aim of this workshop is to present recent advances in Pattern Recognition (PR) techniques for data analysis and representation in the cultural heritage field. Bringing together the work of many experts in this multidisciplinary subject to highlight these advances from a wide-angle perspective, as well as to stimulate new theoretical and applied research for better characterizing the state of the art in this subject.

The workshop will be held on 21 August 2022 (to be confirmed), in conjunction with the 26th International Conference on Pattern Recognition (ICPR2022), that will be held from 21 to 25 August 2022 in Montréal, Québec.

 

Topics include, but are not limited to the following:

 

·        Ancient document analysis

·        Digital artifact capture, representation and manipulation

·        Automatic annotation of tangible and intangible heritage

·        Interactive software tools for cultural heritage applications

·        Multimedia music classification and reconstruction

·       Augmented and Virtual Reality applications

·       Image processing, classification and retrieval

·       Machine Learning for Cultural Heritage

·        Semantic segmentation

·        Serious Game for Cultural Heritage

·        Robotic applications

·        Ontology Learning for cultural heritage domain

 

 

Important Dates

 

Submission deadline:

May 15th, 2022

Author notification:

June 15th, 2022

Camera-ready Submission:

July 1st, 2022

Finalized workshop program:

August 1st, 2022

Workshop day:

August 21st, 2022 (to be confirmed)

 

Proceedings and Special Issue

 

Accepted papers will be included in the ICPR 2022 Workshop Proceedings, which will be published by Springer in the Lecture Notes in Computer Science (LNCS). In order to appear in the proceedings, all the paper must follow the instructions set forth by Springer for the “preparation of proceedings papers published in the LNCS”.

 

Authors of selected high-quality papers will be invited to submit substantially extended versions to a Special Issue of the Journal of Imaging (MDPI). In addition, five of the best papers will be eligible for a reserved space in the Journal on Computing and Cultural Heritage (ACM).

 

Contact Information

 

Dario Allegra, Università degli Studi di Catania, allegra@unict.it

Mario Molinara, Università di Cassino e del Lazio meridionale, m.molinara@unicas.it

Alessandra Scotto di Freca, Università di Cassino e del Lazio meridionale, a.scotto@unicas.it

Filippo Stanco, Università degli Studi di Catania, filippo.stanco@unict.it

 

Workshop website: http://aida.unicas.it/patrech2022

pdf icon CFP_PatReCH2022_v2.pdf
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