IEEE R9: CONCAPAN 2022 Call for papers, Deadline Extended

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Miembros IEEE de Region 9,

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Extension

Debido a múltiples solicitudes, la fecha de envío de artículos se ha extendido hasta el 30 de julio de 2022!

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Nos complace invitarlo a la 2022 IEEE Cuadragésima Convención de Centroamérica y Panamá (CONCAPAN) que se llevará a cabo en la Ciudad de Panamá (Panamá) del 9 al 12 de noviembre de 2022.

CONCAPAN es uno de los eventos tecnológicos internacionales más importantes de la industria eléctrica en la región centroamericana que reúne a cientos de profesionales, desarrolladores e investigadores de la industria y la academia que trabajan en todas las áreas de la ingeniería eléctrica.

Lo invitamos a presentar ponencias que aborden los siguientes temas:

  • Energía eléctrica
  • Telecomunicaciones
  • Informática y tecnología de la información
  • Procesamiento de señales
  • Ingeniería en medicina y biología.
  • Aplicaciones industriales
  • Robótica, automatización y control
  • Sistemas aeroespaciales y electrónicos
  • Tecnología vehicular y sistemas inteligentes de transporte

Todos los artículos completos (en inglés) revisados por pares y presentados en la conferencia serán sometidos para una posible publicación en IEEE Xplore.

La convocatoria de trabajos ya está abierta en https://www.esimposio.com/concapanxl/

Agradecemos su apoyo en la promoción de esta importante conferencia internacional entre sus colegas y en la presentación de artículos para ponencias.

Su presencia en esta conferencia es importante para nosotros. Esperamos verle allí.

Saludos cordiales,

 

Carlos A. Medina C.
Programa Técnico

 

Para obtener más detalles, siga el enlace:

https://www.ieee.org/concapan2022

 


 

IEEE Region 9 Members,

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Extension

Due to many requests, the submission deadline has been extended to 30 July 2022!

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We take great pleasure in inviting you to the 2022 IEEE 40th Central America and Panama Convention (CONCAPAN) that will take place in Panamá City (Panama) next November 9 – 12, 2022.  

 CONCAPAN is one of the most important international technological events of the electrical industry in the Central American region that brings together hundreds of professionals, developers and researchers from the industry and academy that work in all areas of electrical engineering.

We invite submissions for papers addressing the following topics:

  • Power & Energy
  • Telecommunications
  • Computing and Information Technology
  • Signal processing
  • Engineering in Medicine and Biology
  • Industry Applications
  • Robotics, Automation, and Control
  • Aerospace and Electronic Systems
  • Vehicular Technology and Intelligent Transportation Systems

All peer-reviewed full conference papers (in English) presented will be submitted for publication in IEEE Xplore.

The call for papers is already open at  https://www.esimposio.com/concapanxl/

We would appreciate your support in promoting this important international conference among your colleagues, and in submitting academic papers.

Your presence at this conference is important to us. We look forward to seeing you there.

Sincerely,

 

Carlos A. Medina C.
Technical Program Chair

 

For more details, please follow the link:

https://www.ieee.org/concapan2022

 

IEEE International Conference on Tools with Artificial Intelligence (ICTAI)

The 34th IEEE International Conference on Tools with Artificial

Intelligence (ICTAI)

 

https://ictai.computer.org/2022/

 

October 31 – November 2, 2022, Virtual conference

 

CALL FOR PAPERS

 

Important Dates

 

Paper Submission: July 31, 2022

Paper Notification: August 31, 2022

Camera Ready: September 20, 2022

 

Welcome to ICTAI 2022

 

The IEEE International Conference on Tools with Artificial

Intelligence (ICTAI) is a leading IEEE-CS annual scientific meeting

for three decades. It provides a major international forum where

the creation and exchange of ideas related to artificial

intelligence are fostered among academia, industry, and government

agencies. The conference facilitates the cross-fertilization of

these ideas and promotes their transfer into practical tools, for

developing intelligent systems and pursuing artificial intelligence

applications. The ICTAI encompasses all technical aspects of

specifying, developing and evaluating the theoretical underpinnings

and applied mechanisms of the AI-based components of computer tools

such as algorithms, architectures and languages.

 

Conference Categories

 

AI Foundations

 

Evolutionary computing, Bayesian and Neural Networks

Decision/Utility Theory and Decision Optimization

Search, SAT, and CSP

Description Logic and Ontologies

 

AI in Domain-specific Applications

 

AI in Computational Biology, Medicine and Biomedical Applications

AI in WWW, Communication, Social Networking, Recommender Systems,

  Games and E-Commerce

AI in Finance and Risk Management

 

AI in Computer Systems

 

AI in Robotics, Computer Vision and Games

AI in Natural Language Processing

AI in Software Engineering, Real-Time and Embedded Applications, and

  Sensor Networks

AI in Cloud Computing, Data-Intensive Applications and

  Online/Streaming and Multimedia Systems

AI in Web Search and Information Retrieval

AI in Computer Security, Data Privacy, and Information Assurance

 

AI in Data Analytics and Big Data

 

Visual Analytics for Big Data

Computational Modeling for Big Data

Large-scale Recommendation and Social Media Systems

Cloud/Grid/Stream Data Mining for Big Velocity Data

Semantic-based Big Data Mining

AI in Smart Cities

 

Healthcare, Traffic, Transportation, Environment, etc.

 

Machine Learning and Data Mining

 

Pre-processing, Dimension Reduction and Feature Selection computing,

  Bayesian and Neural Networks

Learning Graphical Models and Complex Networks

Active, Cost-Sensitive, Semi-Supervised, Multi-Instance, Multi-Label

  and Mulit-Task Learning

Transfer/Adaptive, Rational and Structured Learning

Preference/Ranking, Ensemble, and Reinforcement Learning

 

Knowledge Representation, Reasoning and Cognitive Modelling

 

Knowledge Representation, Reasoning

Knowledge Extraction, Management and Sharing

Case-based Reasoning and Knowledge-based Systems

Cognitive Modelling and Semantic Web

 

AI and Decision Systems

 

Decision Guidance and Support Systems

Optimization-based Recommender Systems

Group, Distributed, and Collaborative Decisions

Crowd-sourcing and Collective Intelligence Decision-making

Strategic, Tactical and Operational-level Decisions

Decision-making in Social and Mobile Networks

 

Uncertainty in AI

 

Uncertainty and Fuzziness Representation and Reasoning

Approximate/Exact Probabilistic Inference

Knowledge Discovery and Data Mining for Uncertain

 

Paper Submission

 

The submissions should contain original, high quality, not

submitted or published elsewhere work. Papers should be submitted

electronically (through the ICTAI web site) in PDF format and

should be conformed to IEEE specifications (single-space,

double-column, 10-point font size, up to 8 pages).

 

ICTAI receives only full papers (up to 8 pages long). The Review

Committee makes the decision of categorization of these papers

based on their merit. More specifically, the categories are:

 

Full papers based on their quality after review (8 pages long with

regular registration plus one extra page, if needed, with extra

cost $100 according to IEEE CS policy).

 

Short papers based on their merit after review (5 pages long with

regular registration PLUS ONE extra page, if needed, with extra

cost $100 according to IEEE CS policy).

 

Full papers and short papers will be published in the same

proceedings and will be presented in the sessions in a mixed order.

 

Paper Presentation

 

Each accepted paper should be presented by one of the authors and

accompanied by at least one full registration fee payment, to

guarantee publication in the proceedings. All accepted papers will

be included in the proceedings of ICTAI 2022 that will be published

by the IEEE Computer Society.

 

Special Issues

 

Extended versions of the best papers of the conference will be

invited for publication in a special issue of the International

Journal on Artificial Intelligence Tools (IJAIT) (SCI Indexed).

 

Contact ICTAI 2022

General Chair

Du Zhang

Macau University of Science and Technology, China

duzhang@must.edu.mo

 

ICTAI Steering Committee Chair

Nikolaos G. Bourbakis

Center of Assistive Research Technologies – Wright State University,

  USA

nikolaos.bourbakis@wright.edu

 

Program Chair

Wenmin Wang

Macau University of Science and Technology, China

wmwang@must.edu.mo

 

Program Chair

Marek Reformat

University of Alberta, Canada

reformat@ualberta.ca

Live ELLIS/AIDA e-Lecture by Assoc. Prof. Negar Kiyavash: “Causal Inference in Complex Networks”, 11 July 2022 17:00-18:00 CEST

Dear AI scientist/engineer/student/enthusiast,

 

Assoc. Prof. Negar Kiyavash (University of Illinois at Urbana-Champaign, USA), a prominent AI researcher internationally, will deliver the e-lecture:

‘Causal Inference in Complex Networks’, on Monday 11th July 2022 17:00-18:00 CEST (8:00-9:00 am PST), (12:00 am-1:00am CST),

see details in: http://www.i-aida.org/ai-lectures/

 

You can join for free using the zoom link: https://authgr.zoom.us/j/96116246838 & Passcode: 148148

Attendance is free.

 

This is the closing keynote lecture for the ELLIS PhD and Postdoc Summit.

 

The International AI Doctoral Academy (AIDA), a joint initiative of the European R&D projects AI4Media, ELISE, Humane AI Net, TAILOR, VISION, currently in the process of formation,

is very pleased to offer you top quality scientific lectures on several current hot AI topics.

 

Lectures will be offered alternatingly by:

Top highly-cited senior AI scientists internationally or

Young AI scientists with promise of excellence (AI sprint lectures)

 

This is the last lecture from a series of successful lectures by AIDA and the next round of lectures will start in September 2022.

 

Best regards

Profs. M. Chetouani, P. Flach, B. O’Sullivan, I. Pitas, N. Sebe, J. Stefanowski

 

Workshop on Mobility in the Evolving Internet Architecture 2022 | Sydney, Australia


MobiArch 2022  will be held jointly with MobiCom 2022 in Sydney, Australia on 21st Oct. Please note the extended deadline for MobiArch 2022 is 7th July, 2022 Furthermore, the Workshop is now allowing for remote paper presentations should the presenter be unable to attend in person.


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 Workshop on Mobility in the Evolving Internet Architecture (MobiArch) 2022
                                                     Sydney, AUSTRALIA
                          Homepage: https://mobiarch2022.github.io/call.html
                           Dates: In-person (21st Oct. '22)
                           Submission Deadline: 7th July 2022
=================================================================

MobiArch 2022 (to be held jointly with ACM MobiCom 2022) welcomes submissions from both researchers and practitioners from academia and industry that explore the latest developments in mobile communication technologies, architectures and machine learning/artificial intelligence/security/privacy related issues in mobile networks. In addition, we encourage work-in-progress and position papers that describe highly original ideas, present new directions, or have the potential to generate insightful provocative discussion at the workshop.

The workshop solicits submissions covering aspects around architectural issues and system support for mobility in the evolving mobile Internet (e.g. terahertz and cell-free communication, integrated space-earth networks, massive IoT, edge computing, autonomous cars and systems, distributed artificial intelligence, security/privacy issues in mobile networks and network virtualization), including but are not limited to:

• Effects of COVID-19 Pandemic on mobile network architecture
• Future Internet and next-generation networking architectures
• Mobile computing and networking architectures with 5G and beyond 5G
• Joint communication, computing, networking and computing architecture design
• Software defined networking (SDN) and network function virtualization (NFV)
• Network virtualization in mobile Internet architecture
• Terahertz wireless communications
• Mobile internet architectures and technologies for connected autonomous vehicles and cooperative ITS
• Next generation heterogenous radio access networks
• Mobile internet architecture for massive and low-power IoT access and smart cities
• Mobile data sensing and fusion for big M2M data
• Mobile Cloud Computing (MCC) and Mobile Edge Computing (MEC)
• Information-Centric Networking for mobile networks and mobile computing
• Mobile network management and architecture design with data analysis and learning
• Location management, positioning, and data management for wireless and mobility
• Future Internet architecture for efficient mobility support
• Resource orchestration in next-generation networks
• Field trials, deployment and evaluation of innovative mobile Internet architectures
• Blockchain application and SD-RAN systems
• Distributed/Federated/Split learning in mobile networks
• Data privacy preservation in mobile networks
• Machine learning and artificial intelligence in mobile networks

=================================================
Important Dates:

Deadline for submissions: 7th July, 2022
Notification of acceptance: 7th August, 2022
Submission: https://easychair.org/conferences/?conf=mobiarch2022
=================================================

Please see https://mobiarch2022.github.io/index.html for detailed information.

CO-CHAIRS
•Lorenzo Bertizzolo

Stefano Secci (Cnam, Paris)
• Yipeng Zhou (Macquarie University)

Regards,
Sudipta Acharya
(On behalf of MobiArch'22 organizers,)

Deadline Extension – CFP RO-MAN 2022 Workshop on Machine Learning for HRI: Bridging the Gap between Action and Perception

 

CALL FOR PAPERS

The full-day virtual workshop:

Machine Learning for HRI: Bridging the Gap between Action and Perception (ML-HRI)

In conjunction with the 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) – August 22, 2022   

Webpage: https://ml-hri2022.ivai.onl/

 

I. Aim and Scope

A key factor for the acceptance of robots as partners in complex and dynamic human-centered environments is their ability to continuously adapt their behavior. This includes learning the most appropriate behavior for each encountered situation based on its specific characteristics as perceived through the robots senors. To determine the correct actions the robot has to take into account prior experiences with the same agents, their current emotional and mental states, as well as their specific characteristics, e.g. personalities and preferences. Since every encountered situation is unique, the appropriate behavior cannot be hard-coded in advance but must be learned over time through interactions. Therefore, artificial agents need to be able to learn continuously what behaviors are most appropriate for certain situations and people based on feedback and observations received from the environment to enable more natural, enjoyful, and effective interactions between humans and robots.

This workshop aims to attract the latest research studies and expertise in human-robot interaction and machine learning at the intersection of rapidly growing communities, including social and cognitive robotics, machine learning, and artificial intelligence, to present novel approaches aiming at integrating and evaluating machine learning in HRI. Furthermore, it will provide a venue to discuss the limitations of the current approaches and future directions towards creating robots that utilize machine learning to improve their interaction with humans.

II. Keynote Speakers and Panelists

  1. Dorsa Sadigh – Stanford University – USA
  2. Oya Celiktutan – King's College London – UK
  3. Sean Andrist – Microsoft – USA
  4. Stefan Wermter – University of Hamburg – Germany

III. Submission

  1. For paper submission, use the following EasyChair web link: Paper Submission.
  2. Use the RO-MAN 2022 format: RO-MAN Papers Templates.
  3. Submitted papers should be 4-6 pages for regular papers and 2 pages for position papers.

    The primary list of topics covers the following points (but not limited to):

  • Autonomous robot behavior adaptation
  • Interactive learning approaches for HRI
  • Continual learning
  • Meta-learning
  • Transfer learning
  • Learning for multi-agent systems
  • User adaptation of interactive learning approaches
  • Architectures, frameworks, and tools for learning in HRI
  • Metrics and evaluation criteria for learning systems in HRI
  • Legal and ethical considerations for real-word deployment of learning approaches

IV. Important Dates

  1. Paper submission: June 17, 2022 July 15, 2022 (AoE)
  2. Notification of acceptance: August 1, 2022 August 7, 2022 (AoE)
  3. Camera ready: August 14, 2022 (AoE)
  4. Workshop: August 22, 2022

V. Organizers

  1. Oliver Roesler – IVAI – Germany
  2. Elahe Bagheri – IVAI – Germany
  3. Amir Aly – University of Plymouth – UK

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