EDBT 2025 Summer School: Call for Applications

March 13th, 2025 Daniela Lopez de Luise
CALL FOR APPLICATIONS

EDBT 2025 Summer School on AI & Data Management
7th to 11th of July, 2025,
University of Cyprus,
Nicosia, Cyprus

APPLICATION DEADLINE: April 7th, 2025!
* Registration Open! (Limited Seats of about 60 participants)
* Registration Site: http://tiny.cc/glxb001
* Student Grants will be announced later
***************************************************************

The EDBT association and the University of Cyprus are happy to announce a
jointly sponsored Summer School on Artificial Intelligence (AI) and Data
Management, which will be hosted at the Resource Center “Stelios Ioannou”,
University of Cyprus, Monday July 7, 2025 to Friday, July 11, 2025.
It will cover a diverse range of topics around artificial intelligence
and data management, with a special focus on Large Language Models, AI agents
and Vector Databases. It will have 9 tutorials from internationally renowned
researchers in the field, and several social activities. Each tutorial
will be 3 hour long.

CONFIRMED SPEAKERS
===================
The summer school will feature 9 invited speakers. The preliminary
list of speakers along with tentative titles (in order of appearance)
is listed below:

+ Prof. Ioana Manolescu (Ecole Polytechnique, France)
| “Interconnection of Heterogeneous Data using AI”

+ Prof. Sihem Amer-Yahia (CNRS, University of Grenoble Alpes, France)
| “AI Planning for Data Exploration”

+ Dr. Charalampos Tsourakakis (RelationalAI & Boston University, USA)
| “Algorithmic Techniques in Graph Analytics”
| “Machine Learning in Graph Analytics”

+ Prof. Volker Markl (Technical University Berlin, Germany)
| “Large-scale Data Management in Flink”
| “Edge Data Management in NebulaStream”

+ Prof. Constantine Dovrolis (Georgia Tech, USA & Cyprus Institute, Cyprus)
| “Neuro-inspired AI for Continual Learning”
| “The New Mathematics of Deep Learning”

+ Prof. Mohamed F. Mokbel (University of Minnesota, USA)
| “Machine Learning for Big Spatial Data and Applications”
| “Large Language Models for Spatio-temporal Queries”

+ Prof. Li Xiong (Emory University, USA)
| “Large Language Models and Privacy”

+ Prof. Cyrus Shahabi (University of Southern California, USA)
| “DeepNN for Private Spatiotemporal Queries”
| “Synthetic Trajectory Generation”

TARGET AUDIENCE
===============
The school will be open to about 60 qualified, motivated and pre-selected
candidates. The school is primarily intended for graduate (Master’s & PhD)
students and post-doctoral researchers, but we also welcome motivated
applications from advanced undergraduate students and academic and industrial
researchers. There are no formal prerequisites, but prior experience in one
or more of the following areas would be helpful for benefiting from the
lectures of the school:

Data Management, AI & Machine Learning, Data Mining, Informational Retrieval,
Parallel and Distributed and Cloud Computing.

DIVERSITY AND INCLUSION
========================
The EDBT 2025 Summer School on AI & Data Management community is committed
to the promotion of diversity, equity and inclusion in all aspects of our
professional activities (https://dbdni.github.io/). We celebrate the
diversity in our community and welcome everyone regardless of age, gender
identity, race, ethnicity, socioeconomic background, country of origin,
religion, sexual orientation, physical ability, education, and work
experience. We also welcome people and opinions of all political
persuasions, as long as they abide by the ACM policy against harassment.

STUDENT GRANTS
===============
There will be a limited number of grants (fellowships). Half grants cover
the registration fee, while full grants also cover accommodation in a student
residence room. A call for applying for these grants will be announced later
and applicants must briefly explain why attendance could not be financed
by other means. Grants will be awarded taking into account the applicant’s
profile (motivations, research background), financial need and diversity and
inclusion aspects. Grants will be announced after the application deadline
on the website.

REGISTRATION
============
All Registration options include:
+ Tutorial Lectures
+ Coffee Breaks
+ 5 Lunches
+ 1 Banquet Dinner
+ 2 Dinners
+ Welcome Cocktail (with Snacks)
+ 1 Tour Trip
+ Bus from Hotel to Venue (two way).
+ Registration options with accommodation include Breakfast

There are three registration options:
+ Registration with No Accommodation:                      600.00 euro
+ Registration with (Shared) Twin Room (5 nights):        850.00 euro
+ Registration with (Private) Single Room (5 nights):    1100.00 euro

*** Registration Site: http://tiny.cc/glxb001 ***

IMPORTANT DATES
===============
Deadline for applications:  Monday, April 7, 2025
Notification of acceptance: Monday, April 14, 2025
Deadline for registration:  Monday, April 28, 2025
Summer school: July 7–11, 2025

LOCAL ARRANGEMENT
==================
– Special Lufthansa Group airlines fares for flights to Larnaca or Paphos:

ORGANIZATION
============
Prof. Demetris Zeinalipour
University of Cyprus

Prof. Panos K. Chrysanthis
University of Cyprus and University of Pittsburgh, USA

For academic matters, please contact the organizers

Local Arrangements Contact:
> Help with travel, accommodation and visa issues (if attending outside Europe):
– Call us at: +357 22 591 900

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The 16th IEEE International Conference on Knowledge Graphs (ICKG 2025): Second Call for Papers

March 13th, 2025 Daniela Lopez de Luise
*** Second Call for Papers ***

The 16th IEEE International Conference on Knowledge Graphs (ICKG 2025)

December 12-13, 2025, 5* St. Raphael Resort and Marina, Limassol, Cyprus

(*** Proceedings to be published by IEEE ***)
The annual IEEE International Conference on Knowledge Graph (ICKG) provides a premier
international forum for presentation of original research results in knowledge discovery and
graph learning, discussion of opportunities and challenges, as well as exchange and
dissemination of innovative, practical development experiences. The conference covers all
aspects of knowledge discovery from data, with a strong focus on graph learning and
knowledge graph, including algorithms, software, platforms. ICKG 2025 intends to draw
researchers and application developers from a wide range of areas such as knowledge
engineering, representation learning, big data analytics, statistics, machine learning, pattern
recognition, data mining, knowledge visualization, high performance computing, and World
Wide Web etc. By promoting novel, high quality research findings, and innovative solutions to
address challenges in handling all aspects of learning from data with dependency relationship.

All accepted papers will be published in the conference proceedings by the IEEE Computer
Society. Awards, including Best Paper, Best Paper Runner up, Best Student Paper, Best Student
Paper Runner up, will be conferred at the conference, with a check and a certificate for each
award. The conference also features a survey track to accept survey papers reviewing recent
studies in all aspects of knowledge discovery and graph learning. At least five high quality
papers will be invited for a special issue of the Knowledge and Information Systems Journal,
in an expanded and revised form. In addition, at least eight quality papers will be invited for a
special issue of Data Intelligence Journal in an expanded and revised form with at least 30%
difference.
TOPICS OF INTEREST

Topics of interest include, but are not limited to:
• Foundations, algorithms, models, and theory of knowledge discovery and graph learning
• Knowledge engineering with big data.
• Machine learning, data mining, and statistical methods for data science and engineering.
• Acquisition, representation and evolution of fragmented knowledge.
• Fragmented knowledge modeling and online learning.
• Knowledge graphs and knowledge maps.
• Graph learning security, privacy, fairness, and trust.
• Interpretation, rule, and relationship discovery in graph learning.
• Geospatial and temporal knowledge discovery and graph learning.
• Ontologies and reasoning.
• Topology and fusion on fragmented knowledge.
• Visualization, personalization, and recommendation of Knowledge Graph navigation and
interaction.
• Knowledge Graph systems and platforms, and their efficiency, scalability, and privacy.
• Applications and services of knowledge discovery and graph learning in all domains
including web, medicine, education, healthcare, and business.
• Big knowledge systems and applications.
• Crowdsourcing, deep learning and edge computing for graph mining.
• Large language models and applications
• Open source platforms and systems supporting knowledge and graph learning.
• Datasets and benchmarks for graphs
• Neurosymbolic & Hybrid AI systems
• Graph Retrieval Augmented Generation
SURVEY TRACK

Survey paper reviewing recent study in keep aspects of knowledge discover and graph learning.
In addition to the above topics, authors can also select and target the following Special Track
topics.

Each special track is handled by respective special track chairs, and the papers are also
included in the conference proceedings.

• Special Track 01: KGC and Knowledge Graph Building
• Special Track 02: KR and KG Reasoning.
• Special Track 03: KG and Large Language Model
• Special Track 04: GNN and Graph Learning
• Special Track 05: QA and Graph Database
• Special Track 06: KG and Multi-modal Learning.
• Special Track 07: KG and Knowledge Fusion.
• Special Track 08: Industry and Applications
SUBMISSION GUIDELINES

Paper submissions should be no longer than 8 pages, in the IEEE 2-column format, including
the bibliography and any possible appendices. Submissions longer than 8 pages will be
rejected without review. All submissions will be reviewed by the Program Committee based on
technical quality, originality, significance, and clarity. For survey track paper, please preface the
descriptive paper title with “Survey:”, followed by the actual paper title. For example, a paper
entitled “A Literature Review of Streaming Knowledge Graph”, should be changed as “Survey: A
Literature Review of Streaming Knowledge Graph”. This is for the reviewers and chairs to clearly
bid and handle the papers. Once the paper is accepted, the word, such as “Survey:”, can be
removed from the camera-ready copy.

For special track paper, please preface the descriptive paper title with “SS##:”, where “##” is
the two digits special track ID. For example, a paper entitled “Incremental Knowledge Graph
Learning”, intended to target Special Track 01 (Machine learning and knowledge graph) should
be changed as “SS01: Incremental Knowledge Graph Learning”.

All manuscripts are submitted as full papers and are reviewed based on their scientific merit.
The reviewing process is single blind, meaning that each submission should list all authors and
affiliations. There is no separate abstract submission step. There are no separate industrial,
application, or poster tracks. Manuscripts must be submitted electronically in the online
submission system. No email submission is accepted. To help ensure correct formatting, please
use the style files for U.S. Letter as template for your submission. These include LaTeX and
Word.
SUBMISSION LINK

IMPORTANT DATES

• Paper submission (abstract and full paper): July 15, 2025 (AoE)
• Notification of acceptance/rejection: September 15, 2025
• Camera-ready deadline and copyright forms: October 15, 2025
• Early Registration Deadline: Oct. 29, 2025
• Conference: December 12-13, 2025
ORGANISATION

Conference and Local Organising Chair
• George A. Papadopoulos, University of Cyprus

Conference Co-Chair
• Dan Guo, Hefei University of Technology

Program Chairs
• Cesare Alippi, Università della Svizzera italiana
• Shirui Pan, Griffith University

Local Organising Vice Chair
• Irene Kinlanioti, National Technical University of Athens

Finance Chair
• Constantinos Pattichis, University of Cyprus

Steering Committee Chair
• Xindong Wu, Hefei University Of Technology

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Call for paper for Internet of things, Artificial Intelligence and Machine Learning submission

March 13th, 2025 Daniela Lopez de Luise
BOHR Publishers is a multi-disciplinary open access publisher of journals in STM and HSC domains. We welcome manuscripts that focuses on original research, case studies, systematic reviews, empirical studies and experimental methods and application in your fields of research. Our robust publishing platform and editorial team enables fast publication of articles with a double-blind peer review process to ensure quality. Please visit our website to check on the aim and scope for each journal to choose the appropriate journal for your article.

Website: https://journals.bohrpub.com/index.php/bijiam

Important Note:

• Submission Deadline:  March 21, 2025

Submission Procedure:

Please submit your research work via our Online Submission system (https://www.bohrpub.com/submission) or send email to editor@bohrpub.com

Publishing Features:

• Authors do not have to pay any article processing charges

• Agile and responsive editorial process by our experienced team of journal-specific editors and peer reviewers

• Published papers will be assigned with DOI for registering with Crossref

• Each author of the published paper will receive an individual soft copy of the “certificate of publication.”

• Articles will be submitted to multiple open access databases and indexing agencies like Google Scholar, Crossref to increase the visibility and citation potential of your article.

• Policies and best practices to ensure ethics and transparency in the publishing program in accordance with the guidelines provided by Committee on Publication Ethics (COPE)

Additionally, if required by authors we can provide language enhancement support through our Partner company:

https://www.langenhance.com/; sivakumar@langenhance.com

Thank you and best regards,
Abinaya
Production Editor
Logo

Bohr Publishers

www.bohrpub.com
eMail: editor@bohrpub.com

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IARIA Congress 2025 || July 6 – 10, 2025 – Venice, Italy

March 13th, 2025 Daniela Lopez de Luise

 

IARIA Congress 2025

The 2025 IARIA Annual Congress on Frontiers in Science, Technology, Services, and Applications

July 6 – 10, 2025 – Venice, Italy

 

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 2025, The 2025 IARIA Annual Congress on Frontiers in Science, Technology, Services, and Applications

IARIA Congress 2025 is scheduled to be July 6 – 10, 2025 in Venice, Italy

Submission (full paper) deadline: Extended to April 2, 2025

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 2025 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:

Sandra Viciano Tudela, 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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2nd Call for Papers: MVA2025 (19th International Conference on Machine Vision Applications)

March 13th, 2025 Daniela Lopez de Luise
19th International Conference on Machine Vision Applications (MVA 2025)
July 26?28, 2025
Kyoto International Conference Center, Kyoto, Japan

MVA2025 invites submissions on cutting-edge research in machine vision, image processing, and their practical applications. We encourage researchers and practitioners from academia and industry to participate actively.

# Topics
– Sensing: Vision Sensors, Imaging, Shape from X, Calibration, Low-level Vision, Emerging Sensing Technologies
– Algorithms: Pattern Recognition, Deep Learning, Shape / Motion / Deformation Analysis, Large-Scale Data Analysis, Image Processing System Architecture, Generative AI, VLM / MLLM, Foundation Models, 2D/3D Representation Learning
– Applications: Factory Automation and Robotics, Intelligent Transport Systems and Autonomous Vehicles Surveillance, Human Analysis and Human-Computer Interaction, Life (Sports, Agriculture / Forestry / Fishery, Civil Engineering, Commerce, Fashion, Food, Home, etc.)

# Important Dates
– Paper Submission Deadline: March 31, 2025 (4 pages excluding references)
– Decision Notification: June 13, 2025
– Conference Dates: July 26?28, 2025

# Recent Updates
– Submission portal now open. Visit the official conference website for submission guidelines and details.
– Reviewer participation: Authors with a Ph.D. or Ph.D. students with reviewing experience will be requested to serve as reviewers.
– IEICE Transactions Special Issue: Simultaneous submissions to IEICE Transactions on Information and Systems are possible under specific conditions.
– Awards: Best Paper Award, Best Application Paper Award, Best Poster Award

# SMOT4SB Challenge
In conjunction with MVA2025, we are hosting the “Small Multi-Object Tracking for Spotting Birds (SMOT4SB)” Challenge, focused on tracking small birds in UAV-captured videos. Participants will tackle key issues like occlusion and rapid movements.
Important dates:
– Public test server close: April 26, 2025
– Code submission deadline: May 10, 2025
– Paper submission deadline: June 28, 2025
Details are on our website: https://mva-org.jp/mva2025/challenge

# IAPR Invited Talks
– Ming-Yu Liu (NVIDIA)
– Katerina Fragkiadaki (CMU)
– Yasuyuki Matsushita (MSRA Tokyo)

# Tutorials
– Bo Wu (MIT-IBM Watson AI Lab)
– Cathal Gurrin (Dublin City University)

# Committee
General Chairs
– Shunsuke Kudo (The University of Electro-Communications)
– Ryoma Bise (Kyushu University)
Program Chairs
– Ryo Yonetani (CyberAgent)
– Chun-Yi Lee (National Taiwan University)

For more information, please check our official website, X, and Facebook page for updates.
– website: https://www.mva-org.jp/mva2025/
– X: https://x.com/MVA_ORG
– Facebook: https://www.facebook.com/mva.org

We eagerly anticipate your submissions and active participation!

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