IEEE GRSS IADF Photo Contest 2023

April 13th, 2023 Daniela Lopez de Luise
PhotoContest QR code - Lowest.jpg
  Dear Colleagues,

Are you working on image analysis or data fusion for Earth observation? Do you have exciting work to be shared with the community? Then submit your illustrations to the IEEE GRSS IADF Photo Contest 2023! We are looking for enlightening illustrations that explain your method, fancy visualizations of the input, intermediate representations, final results, or a visual summary of a core problem you aim to solve. You can use this opportunity to make your work known in the community (and get some GRSS prizes on the way).

Submission timeline:

Submission starts: April 1st, 2023
Submission closes: May 14th, 2023
Results announced: May 28th, 2023

For any query, contact iadf_chairs@grss-ieee.org  with the subject line “Photo Contest” 

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GraDSci 2023: Graph Data Science and Applications Special Session at DSAA 2023

April 13th, 2023 Daniela Lopez de Luise
Dear colleague,
We're organizing a Special Session at DSAA 2023 in Graph Data Science and Applications. Please find the Call for Papers below:
GraDSci 2023: Graph Data Science and Applications Special Session at DSAA 2023
10th IEEE International Conference on Data Science and Advanced Analytics (DSAA) (https://conferences.sigappfr.org/dsaa2023/)
 
Location: Thessaloniki, Greece
Date: October 9-13, 2023
Website: https://gradsci.github.io/
 
About the Special Session
GraDSci: Graph Data Science and Applications is a Special Session of the 10th IEEE International Conference on Data Science and Advanced Analytics (DSAA). The special session aims to bring together researchers from academia and industry who are interested in state-of-the-art algorithmic techniques and methodologies in graph data science, ranging from graph mining to graph representation learning, along with their applications.
We live in an interconnected world where entities interact with each other creating complex systems that can be modeled by graphs. Social networks, for example, are used to model interactions among individuals in collaboration networks and online social media applications. Information networks, such as the Web or knowledge graphs, provide an effective way to model and navigate relational content. In the biomedical domain, complex heterogeneous graphs are used to describe the interactions between patients, diseases, and drugs, toward detecting polypharmacy side effects or addressing drug repurposing problems. Finally, molecular graphs, which capture the interactions between atoms or molecules, have recently been used to discover new materials, accelerating scientific discovery.
Topics of Interest
The topics of interest of the GraDSci special session include, but are not limited to:
Graph data science algorithms and methods
– Representation learning on graphs
– Deep learning and graph neural networks
– Scalable graph learning models and methods
– Bias and fairness in graph machine learning
– Probabilistic graphical models
– Statistical models of graphs
– Graph kernels and graph similarity
– Semi-supervised, self-supervised, and unsupervised graph learning
– Graph sampling and inference
– Graph clustering and community detection
– Graph summarization
– Graph anomaly detection
– Learning on spatial, temporal, and dynamic networks
– Learning on heterogeneous and multi-relational graphs
– Graph data processing and management
– Graph visualization
Application domains
– Social media and social network analysis
– Influence propagation and misinformation detection
– Knowledge graphs and semantic networks
– Recommender systems
– Natural language processing
– Multimedia signal processing and computer vision
– Computational health, biomedicine, and epidemiology
– Computational biology and bioinformatics
– Neuroscience and brain network analysis
– Drug design and pharmaceutical sciences
– Materials science
– Urban network analysis
– Environment
– Communication networks and cybersecurity
Important Dates
– Special Session Paper Submission Deadline: May 2, 2023
– Special Session Paper Notification: July 10, 2023
– Camera Ready Submission: August 7, 2023
Submission Instructions
Organizers
– Fragkiskos D. Malliaros, Paris-Saclay University, CentraleSupelec, Inria, France
– Jhony H. Giraldo, Telecom Paris, Institut Polytechnique de Paris, France

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⚡ Lightning Talks on Adversarial Training, Efficient Audio Embedding Extractors, and Neural Audio Synthesis

April 13th, 2023 Daniela Lopez de Luise
Dear AI students and enthusiasts,

neuron.ai proudly presents a new hybrid knowledge exchange format – the “Lightning Talks” ⚡

In less than two weeks, we are hosting three short, fascinating talks by researchers and Ph.D. students from the Institute of Computational Perception at Johannes Kepler University Linz on the following topics:

1. Adversarial Training by Shahed Masoudian
2. Efficient Audio Embedding Extractors by Florian Schmid
3. Musings on Neural Audio Synthesis by Lukas Samuel Marták
The event will take place on:
📆 Wednesday, April 19th, 2023
🕒 19:00 – 20:00 CEST (13:00 EST, 17:00 GMT)
📍 Hybrid (in person at JKU Campus and online via Zoom)
Register for free on our website to secure your spot and you will receive a confirmation email shortly afterward:
Details on the location as well as the Zoom link will be sent via email a few days prior to the event. If you have not received them, please check your spam folder and feel free to reach out to us if you have further inquiries.
There will be a chance to ask questions during the Q&A session, therefore be sure to join us and engage in fruitful discussions with fellow AI enthusiasts. We are looking forward to welcoming you in person or online. 😊

Best,
Queby

Nathanya Queby Satriani
Marketing & Design Department @ neuron.ai
The first student-run initiative for AI in Austria.

https://www.linkedin.com/company/neuron-ai-austria/ https://www.instagram.com/neuron.ai_austria/ 

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13th Workshop on Management of Cloud and Smart City Systems (MoCS 2023)

April 13th, 2023 Daniela Lopez de Luise
***********************************************************************
13th Workshop on Management of Cloud and Smart City Systems (MoCS 2023)
Co-located with 28th IEEE ISCC 2023

9 July, Tunis Tunisia     –   https://sites.google.com/view/mocs2023

Associated to the Special Issue “Computing Continuum and Federated Learning for Smart Cities”
***********************************************************************

The services designed for complex scenarios such as smart cities, agriculture 4.0, and the upcoming Industry 5.0, pave the path for a new era of highly distributed and cognitive clouds. The distributed and cognitive cloud paradigm is a key enabling technology, whereby applications and network functions are hosted in the cloud-to-thing continuum, and their placement can evolve depending on the context. Despite such a rapid (re-)evolution of edge-cloud systems, the extremely heterogeneous smart city applications (sensing as a service, crowd sensing, etc.) make the satisfaction of all the requirements a big challenge. In this context, emergent paradigms like artificial intelligence (AI), privacy-enhancing technologies (PET), cybersecurity, blockchain (BC), and metaverse are key enablers for cloud-to-thing systems to shape the development of autonomic orchestration and networking.

The focus of MoCS 2023 is on the convergence of distributed clouds, cognitive clouds, digital twins, and privacy-aware applications for complex scenarios like smart cities and learning-driven approaches for urban planning.

Topics of interest include but are not limited to the following:
***********************************************************************
– Application of distributed clouds to smart cities services.
– Models for context-aware crowdsensing techniques at an urban-level scale.
– Human-enabled Edge Computing (HEC) paradigm.
– Computing continuum for smart cities services.
– Cognitives cloud for smart cities services.
– Digital twins for smart cities services.
– Edge data center deployment in urban environments.
– ML- and AI-based approaches to cloud/edge-based smart city applications.
– AI-driven models, architectures, and frameworks for edge computing.
– Experiences on the (re)use of open platforms for cloud-integrated smart cities services.
– Design and evaluation tools for scalability and efficient resource allocation in smart cities.
– Design and application of cloud/edge technologies to Intelligent Transport Systems (ITS).
– Vehicular cloud architectures for provisioning of smart cities services.
– Models and paradigms for the management of cloud/MEC services within/between data.
– Data-driven approaches for smart transportation in urban areas.
– Blockchain solutions for secure and reliable transactions between counterparts in data sharing/trading.
– Security and privacy techniques for cloud/edge-based smart city applications.
– Post-quantum security and privacy for smart city applications.

Submission Guidelines
***********************************************************************
Authors are invited to submit original technical papers for publication in MoCS 2023. Manuscripts should be written in English and should not exceed 6 pages in the IEEE double-column proceedings format including tables, figures, references, and appendices. 

Authors can find the IEEE double-column conference proceedings template at the following link:
https://www.ieee.org/conferences_events/conferences/publishing/templates.html

At least one author of each accepted paper is required to register for the conference and present the paper. Only registered and presented papers will be included in the ISCC 2023 Proceedings.

Paper Publication
***********************************************************************
Accepted papers will be included in the ISCC 2023 Proceedings and will be submitted for inclusion to IEEEXplore. 

In addition, the best papers will be proposed to submit an extended version to the Special Issue “Computing Continuum and Federated Learning for Smart Cities” which will be published in the “Computer Networks” journal

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CALL FOR PAPERS,1st Workshop on AI in Agriculture (AgriAI’23; IEEE #57573); Web of Science; May 23, 2023 deadline

April 13th, 2023 Daniela Lopez de Luise
1st Workshop on AI in Agriculture (AgriAI’23)

Warsaw, Poland, 17–20 September, 2023
https://fedcsis.org/sessions/aaia/agriai

Organized within FedCSIS 2023 (IEEE: #57573)
Strict submission deadline: May 23, 2023, 23:59:59 AOE (no extensions)

KEY FACTS: Proceedings: submitted to IEEE Digital Library; indexing:
DBLP, Scopus and Web of Science; 70 punktów parametrycznych MEiN

Please feel free to forward this announcement to your colleagues and
associates who could be interested in it.

********************* Statement concerning LLMs *********************

Recognizing developing issue that affects all academic disciplines, we
would like to state that, in principle, papers that include text
generated from a large-scale language model (LLM) are prohibited, unless
the produced text is used within the experimental part of the work.

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

Artificial Intelligence (AI) is increasingly used in agriculture for a
variety of uses, from plant disease detection to weeding automation,
soil status monitoring, crop prediction, irrigation management, and
decreased use of resources for improving quality and productivity. This
workshop welcomes contributions related to a wide variety of
interdisciplinary research and applications related to artificial
intelligence in agriculture. AI can, in fact, provide highly positive
effects on precision agriculture by optimizing, automating and
forecasting several aspects of farming and revolutionizing the sector,
providing helpful information and driving decisions using multiple
sources of data and different sensors.

Moreover, in the climate change era, AI can improve sustainability by
optimizing the use of resources such as water and soil management. We
welcome innovative contributions, early results and position papers
addressing one or more of the topics listed below and intend to foster
informal discussions and bring together researchers, practitioners and
industry experts to explore the challenges and opportunities of AI and
Agriculture. We look forward to receiving your submissions and seeing
you at the workshop!

Topics

Papers related to theories, methodologies, and applications in science
and technology in the field of AI in Agriculture are especially
solicited. Topics covering applications and academic research are
included, but not limited to:

–    Computer vision in agriculture
–    Signal and image processing in agriculture
–    Computational intelligence in agriculture
–    Artificial intelligence in agriculture
–    Decision support systems
–    Expert systems & predictive systems
–    AI-based precision agriculture
–    Machine learning and pattern recognition
–    IoT in agriculture
–    Food and livestock management
–    Big data
–    Remote sensing
–    Unmanned aerial vehicle vehicles
–    Autonomous driving in agriculture
–    Harvesting automation
–    Robotics and robotic perception in agriculture
–    Ethics and social impact of AI on agriculture
–    AI-based crowd-sensing and participatory approaches in agriculture
–    Applications in agriculture

Submission rules:

–    Authors should submit their papers as Postscript, PDF or MSWord files.
–    The total length of a paper should not exceed 10 pages IEEE style
(including tables, figures and references). IEEE style templates are
available here.
–    Papers will be refereed and accepted on the basis of their
scientific merit and relevance to the workshop.
–    Preprints containing accepted papers will be published on a USB
memory stick provided to the FedCSIS participants.
–    Only papers presented at the conference will be published in
Conference Proceedings and submitted for inclusion in the IEEE Xplore®
database.
–    Conference proceedings will be published in a volume with ISBN,
ISSN and DOI numbers and posted at the conference WWW site.
–    Conference proceedings will be submitted for indexation according
to information here.
–    Organizers reserve right to move accepted papers between FedCSIS
technical sessions.

Important dates:

+ Paper submission (strict deadline): May 23, 2023, 23:59:59 (AoE; there
will be no extension)
+ Position paper submission: June 7, 2023
+ Author notification: July 11, 2023
+ Final paper submission and registration: July 31, 2023
+ Payment (early fee deadline): July 26, 2023
+ Conference date: September 17-20, 2023

AgriAI Committee: https://fedcsis.org/sessions/aaia/agriai/committee

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