Call for Abstracts/Papers – ICICIP2025, Muscat, Oman, February 6-11, 2025

October 11th, 2024 Daniela Lopez de Luise
Call for Abstracts/Papers
Conference website: https://conference.cs.cityu.edu.hk/icicip/ 

The 13th International Conference on Intelligent Control and Information Processing (ICICIP2025) will be held in Muscat, Oman, February 6-11, 2025, following the successes of previous events. As the capital of Oman, Muscat is Oman's largest city with a population of over four million people and numerous tourist attractions. ICICIP2025 aims to provide a high-level international forum for scientists, engineers, and educators to present the state of the art of research and applications in related fields. The conference will feature plenary speeches given by world-renowned scholars, regular sessions with broad coverage, special sessions focusing on popular topics, and post-conference workshops/tutorials in the region.

Prospective authors are invited to contribute high-quality papers to ICICIP2025. In addition, proposals for special sessions within the technical scopes of the symposium are solicited. Special sessions, to be organized by internationally recognized experts, aim to bring together researchers in special focused topics. Papers submitted for special sessions are to be peer-reviewed with the same criteria used for the contributed papers. Researchers interested in organizing special sessions are invited to submit formal proposals to ICICIP2025. A special session proposal should include the session title, a brief description of the scope and motivation, names, contact information, and brief biographical information on the organizers.

Authors are invited to submit abstract only or full-length papers (8 pages maximum) by the submission deadline through the online submission system. Potential organizers are also invited to enlist five or more papers with cohesive topics to form special sessions. The submission of a paper implies that the paper is original and has not been submitted under review or is not copyright-protected elsewhere and will be presented by an author if accepted. All submitted papers will be refereed by experts in the field based on the criteria of originality, significance, quality, and clarity. The authors of accepted papers will have an opportunity to revise their papers and take consideration of the referees' comments and suggestions. All accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore's scope and quality requirements. Selected high-quality papers will be included in several journal special issues.

The abstract and paper submission system is now open. 

Abstract and Paper Submission link: https://openreview.net/group?id=IEEE.org/ICICIP/2025/Conference&referrer=%5BHomepage%5D(%2F)#tab-your-consoles 


Abstract Only or Paper Submission Deadline: November 1, 2024

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CFP: 4th IEEE Workshop on Pervasive and Resource-constrained Artificial Intelligence (PeRConAI’25)

October 11th, 2024 Daniela Lopez de Luise

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4th IEEE Workshop on Pervasive and Resource-constrained Artificial Intelligence (PeRConAI)
co-located with IEEE PerCom 2025, March 17-21, 2025, Washington DC, USA

Website: http://perconai.iit.cnr.it
Email contact for info: perconai@iit.cnr.it

This year’s PeRConAI enjoys the joint technical co-sponsorship of the SONATA (https://sonata.cttc.es) project.

Important dates 

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13th International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM) @ IEEE ISCAS 2025 | London | May 25 – 28, 2025

October 11th, 2024 Daniela Lopez de Luise

We cordially invite you to submit your original contributions to IWCIM 2025 – the 13th International Workshop on Computational Intelligence for Multimedia Understanding (IWCIM), which will take place as a satellite workshop to IEEE ISCAS 2025, to be held in London on May 25-28, 2025.
Please see the workshop website https://iwcim.itu.edu.tr/ and the general conference web page  https://2025.ieee-iscas.org/ for more information.

 
IWCIM 2025 is the annual workshop organized by the working group Multimedia Understanding through Semantics, Computation and Learning (MUSCLE) of the European Research Consortium for Informatics and Mathematics (ERCIM).
Multimedia understanding is an important part of many intelligent applications in our social life, whether in our households or in commercial, industrial, service, and scientific environments. Analyzing raw data to provide them with semantics is essential to exploiting their full potential and helping us manage our everyday tasks. Raw data normally come from various sensors and other sources and are different in nature, format, reliability, and information content. Multimodal and cross-modal analysis are the only ways to use them at their best. Besides data analysis, this problem is also relevant to data description intended to help storage and mining. Interoperability and exchangeability of heterogeneous and distributed data are necessary for any practical application. Semantics is information at the highest level, and inferring it from raw data (that is, from information at the lowest level) entails exploiting both data and prior information to extract structure and meaning. Computation, machine learning, statistical, and Bayesian methods are tools to achieve this goal at various levels.

TOPICS:

The scope of IWCIM 2025 includes but is not limited to the following topics:

o Multisensor systems
o Multimodal analysis  
o Crossmodal data analysis and clustering
o Mixed-reality applications
o Activity and object detection/recognition
o Text and speech recognition
o Multimedia labeling, semantic annotation, and metadata
o Multimodal indexing and searching in very large databases
o Big and Linked Data Search and mining Big Data
o Large-scale recommendation systems
o Multimedia and Multi-structured data
o Semantic web and Linked Data
o Cloud Optimization
o Pervasive Intelligence
o Machine learning in multimedia understanding
o Attention-based approaches for multimedia understanding
o Diffusion models for multi-modal data analysis
o Multi-modal data analysis in compressed domain
o Multi-modal data analysis for remote sensing applications
o Semantic web and Linked data
o Case studies

PUBLICATION:
All the papers accepted for the workshop will be included in the conference proceedings published in IEEExplore.

SUBMISSION:
All contributions should be original, not published elsewhere, or intended to be published during the review period. 
Authors who wish to participate in the conference will create documents consisting of a complete description of their ideas and applicable research results in a maximum of 4 pages for technical content, including figures and possible references, and with one additional optional 5th page containing only references. 
Papers should be submitted through the ISCAS Conference Management System (https://epapers2.org/iscas2025/) by selecting Track 16 – IWCIM Workshop.

Detailed Instructions:
  1. Go to the ISCAS submission site: https://epapers2.org/iscas2025/ESR/login.php
  2. Log in or register as a “New Author.”
  3. Once logged in as a Submitting Author, click on “Create New Submission.”
  4. In the “Paper Information” section, ensure that you select Track 16 – IWCIM Workshop.
DATES:
Submission of papers: October 14, 2024
Notification of acceptance: January 20, 2025
Camera-ready papers: February 10, 2025
Workshop date:  TBA (May 25, 26, 27 or 28, 2025)

– Workshop Organizers –
Behçet Uğur Töreyin, Informatics Institute, Istanbul Technical University (ITU), Istanbul, Turkey
Maria Trocan, Institut Supérieur d'Électronique de Paris (ISEP), Paris, France
Davide Moroni, Institute of Information Science and Technologies, National Research Council of Italy (CNR), Pisa, Italy


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The 5th international workshop on Machine Learning for EEG Signal Processing (MLESP)

October 11th, 2024 Daniela Lopez de Luise
The  5th international workshop on Machine Learning for EEG Signal Processing (MLESP 2024, https://mlesp2024.sciencesconf.org/) to be held in Lisbon, Portugal, from 3 to 6 December 2024, in conjunction with the IEEE International Conference on Bioinformatics and Biomedicine (IEEE BIBM 2024, https://ieeebibm.org/BIBM2024).

Overview

EEG signal processing involves the analysis and treatment of the electrical activity of the brain measured with Electroencephalography, or EEG, in order to provide useful information on which decisions can be made. The recent advances in signal processing and machine learning for EEG data processing have brought impressive progress in solving several practical and challenging problems in many areas such as healthcare, biomedicine, biomedical engineering, BCI and biometrics. The aim of this workshop is to present and discuss the recent advances in machine learning for EEG signal analysis and processing. We are inviting original research work, as well as significant work-in-progress, covering novel theories, innovative methods, and meaningful applications that can potentially lead to significant advances in EEG data analytics. This workshop is an opportunity to bring together academic and industrial scientists to discuss recent advances.

The topics of interest include but are not limited to:

– EEG signal processing and analysis
– Time-frequency EEG signal analysis
– Signal processing for EEG Data
– EEG feature extraction and selection
– Machine learning for EEG signal processing
– EEG classification and Hierarchical clustering
– EEG abnormalities detection (e.g. Epileptic seizure, Alzheimer's disease, etc.)
– Machine learning in EEG Big Data
– Deep Learning for EEG Big Data
– Neural Rehabilitation Engineering
– Brain-Computer Interface
– Neurofeedback
– EEG-based Biometrics
– Related applications

Important Dates

Sept. 16, 2024 October 21, 2024  (11:59 pm CST): Due date for full workshop papers submission
Nov. 10, 2024: Notification of paper acceptance to authors
Nov. 21, 2024: Camera-ready of accepted papers
Dec 3-6, 2024: Workshops

Paper submission

– Please submit a full-length paper (up to 8 pages IEEE 2-column format) through the online submission system. You can download the format instruction here: https://www.ieee.org/conferences/publishing/templates.html 

– Electronic submissions in PDF format are required.

Online submission

https://wi-lab.com/cyberchair/2024/bibm24/scripts/submit.php?subarea=S01&undisplay_detail=1&wh=/cyberchair/2024/bibm24/scripts/ws_submit.php

Publication

All accepted papers will be published in the BIBM proceedings and IEEE Xplore Digital Library.

Contact

Prof. Larbi Boubchir (Workshop Chair)
University of Paris 8, France
E-mail: larbi.boubchir@univ-paris8.fr

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3rd Workshop on Deployable AI at AAAI 2025

October 11th, 2024 Daniela Lopez de Luise
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REGISTRATION:

All attendees have to register for the workshop. Please check more details about AAAI 2025 workshop registration: https://aaai.org/conference/aaai/aaai-25/registration/.

There will be no proceedings for the venue. We will post the list of accepted papers on the workshop website

Important Dates:

Workshop Submissions Due to Organizers: November 22, 2024

Notifications Sent to Authors: December 9, 2024

Workshop to be held on March 3rd/4th, 2024


Reviews: The review process will be double-blind. All submissions must be anonymized. Submissions that breach anonymity will be desk-rejected. We welcome volunteers who want to serve as a program committee member (reviewers) for Deployable AI Workshop 2025. If interested, please fill out the form 


Organizers:


1. Balaraman Ravindran(Senior member AAAI) Chair and main contact, ravi@dsai.iitm.ac.in, RBCDSAI, IIT Madras

2. Danish Pruthi, danishp@iisc.ac.in, Computational and Data Sciences, IISC Bangalore.

3. Aditi Raghunathan, raditi@cmu.edu, Computer Science Department, CMU

4. Krishna Pillutla, krishnap@dsai.iitm.ac.in, School of DSAI IIT Madras

5. Arpita Biswas arpita.biswas@live.in, Department of Computer Science, Rutgers University

6. Aravindan Raghuveer araghuveer@google.com, Google Deepmind India.


Working Committee:

1.  Arun Rajkumar, arunr@dsai.iitm.ac.in, School of DSAI, IIT Madras.

2. Harish Guruprasad, hariguru@dsai.iitm.ac.in, School of DSAI, IIT Madras.

3. Chandrashekar Lakshminarayanan, chandrashekar@dsai.iitm.ac.in, School of DSAI, IIT Madras

4. Preksha Nema, preksh@google.com, Google Research India

5. Gokul S Krishnan, gokul@cerai.in, CeRAI, IIT Madras.

6. Devika Jay, devikajay@gmail.com, CeRAI, IIT Madras.

7. Rahul Vashisht rahul@cse.iitm.ac.in, PhD scholar, CSE, IIT Madras


Regards

Rahul

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