CALL FOR PAPERS
Artificial Intelligence x Data & Knowledge Engineering (formerly AIKE)
December 11-13, 2024
Hitachi Central Research Laboratory
Tokyo, Japan
(format: hybrid)
www.AIxDKE.org
Artificial Intelligence (AI) is concerned with computing technologies that allow machines to see, hear, talk, think, learn, and solve problems. The huge potential of applying AI to problem-solving represents an exciting future in business objectives that can be achieved much more effectively. In addition, business-business, business-customer, and customer-customer may be interconnected in a revolutionary way to stimulate a tremendous amount of interesting activities.
A core of AI is Data and Knowledge Engineering which address the acquisition, understanding, description, storage, integration, processing, control, and use of data and knowledge, among others.
With the recent advances of AI, including ChatGPT, we think it is the right time to address the broader impacts of AI on Data & Knowledge Engineering and vice versa. Artificial Intelligence x Data & Knowledge Engineering (AIxDKE), technically sponsored by the IEEE Computer Society, is an international forum for academia and industries to exchange visions and ideas in the state of the art and practice, as well as to identify the emerging topics and define the synergy between the research in AI and DKE in general.
TOPICS OF INTEREST include all aspects of DKE whose solutions may be assisted by AI, such as:
Data modeling
Database design
Query processing and optimization
Transaction management
Crash recovery
Integrity control
Storage system
Security
Data integration
Decision making
Knowledge management
Knowledge understanding and modelling
Knowledge discovery
Knowledge integration
AI Technologies that may be advanced by DKE applications, such as:
Generative AI
Transformer based technology
Agent technology
Semantic computing
Machine learning
Symbolic AI including Knowledge and data engineering, planning
Problem solving
Multi-modal interactions
The conference proceedings will be published by the IEEE and submitted to the IEEE Xplore®. Distinguished quality papers presented at the conference will be selected for the best paper/poster awards and for publication in internationally renowned journals.
IMPORTANT DATES
Paper Submission: September 1, 2024 PT (extended) September 22, 2024 PT
Notification of Paper Acceptance: October 1, 2024 PT (extended) October 18, 2024 PT
Workshop Paper Submission: October 15, 2024 PT (extended) October 23, 2024 PT
Camera Ready and Registration: November 1, 2024 PT
International Data Science and Statistics Congress IDSSC 2024
September 4th, 2024 
Daniela Lopez de Luise
Dear Scientists;
Turkish Statistical Association (TİD), as an organization that works to ensure the correct use and understanding of Statistical Science at all levels of society, being an important branch of science which is included in the application areas in all branches of science and is an active part of decision processes, has been organizing International Statistical Congresses (İSTKON) for a quarter of a century. The 12th of these important congresses, will be organized under the name “International Data Science and Statistics Congress IDSSC 2024” with the main theme of “Artificial Intelligence”, being the current concept of our age.
IDSSC 2024 is an event open to all fields interested in data analysis. The congress will cover all conceivable fields dealing with data analysis, from engineering to art, from economics to sociology, from statistics to health, from education to psychology. It offers a unique platform for leading international and domestic experts, statisticians, data scientists and artificial intelligence developers in government agencies, private sector, industry and academia, to exchange ideas and explore collaboration opportunities. Additionally, this event will provide an environment where entry-level statisticians, data analysts and students will have the opportunity to learn and interact with the experienced members of the profession.
Our congress will be covering topics such as ‘Innovations in the Fields of Data Science and Statistics’, ‘Future Vision and Artificial Intelligence’, ‘Data Management’, ‘Data Analytics’, ‘Business Strategies', ‘Machine Learning’, along with applications such as the ‘Use of Personal Data and Problems’, ‘Data Governance and Privacy’.
CONGRESS SCOPE
Keynotes: Speakers, experts and thought leaders in the field, discuss current trends in data science, challenges, future developments and artificial intelligence.
Academic and Technical Sessions: Academic and technical aspects of data science are covered, under topics such as artificial intelligence, data analysis techniques, statistical methods and the use of data science.
Panel Sessions: Experts discuss hot topics, current challenges, and the future direction of data science and artificial intelligence.
Case Studies/Hands-on Workshops: Hands-on sessions present real-world applications of data science, success stories, and how organizations leverage data to achieve business goals.
Workshops and Training: Provide participants with practical skills and tools. These sessions cover specific software tools, programming languages, or data science methodologies.
B2B Event: A meeting point for startups and firms looking for investors. Industry professionals and investors come together for service and product presentations and investment opportunities.
Exhibitions: Feature data science and analytics-related products and services from technology companies and service providers.
The synergy created with this important event, will provide a suitable environment for a better understanding and more widespread and accurate use of ‘Statistics’, ‘Data Science’ and ‘Artificial Intelligence’ in our country.
We will be very pleased to meet with you at our IDSSC 2024 Congress which will be held in Ankara Sheraton Hotel and Convention Center between 15 and 17 October.
More information;
11ª Conferencia Ibero-Americana Computación Aplicada (CIACA 2024): 11 – 12 Diciembre 2024, Virtual. Plazo Límite de Envío (1ª Llamada – extensión): hasta 27 Septiembre 2024
September 4th, 2024 Daniela Lopez de Luise 
11ª Conferencia Ibero-Americana Computación Aplicada
(CIACA 2024)
11 – 12 Diciembre 2024, Virtual
http://www.ciaca-conf.org/es
* CIACA 2024
La Conferencia Ibero Americana de Computación Aplicada 2024busca atacar los temas centrales de interés en el área de ciencias de la computación y temas relacionados. Esta conferencia tiene como objetivo cubrir principalmente los aspectos técnicos.
Para obtener más información relacionada con los temas de interés, por favor visite https://ciaca-conf.org/es/llamado-a-la-participacion-con-la-presentacion-de-trabajos-en-espanol/
* Submisiones de Artículos
Los autores están invitados a presentar sus trabajos en portugués o español a través del el sistema de envío electrónica de la conferencia hasta 27 Septiembre 2024.
Los trabajos deben ser originales.
* Fechas Importantes :
– Plazo Limite de Envío (1ª Llamada – extensión):27 Septiembre 2024
– Notificación a los Autores (1ª Llamada – extensión): 28 Octubre 2024
– Envío de Versiones Finales y Registro Temprano (1ª Llamada – extensión): hasta el 15 Noviembre 2024
– Conferencia: 11 – 12 Diciembre 2024
* Publicación de artículos
La conferencia incluirá disertaciones invitadas y presentaciones orales. Las actas de la conferencia se publicarán en un libro y en versión electrónica con ISBN.
* Conference Contact:
E-mail: secretariat@ciaca-conf.org
Web site: http://www.ciaca-conf.org/es
Organizado por: International Association for Development of the Information Society
IADIS • International Association for the Development of the Information Society
Rua São Sebastião da Pedreira,100, 3, 1050-229 Lisbon, Portugal
IEEE International Conference on Recent Advances in Science & Engineering Technology, ICRASET-2024
September 4th, 2024 Daniela Lopez de Luise
Department of ECE, CSE, ISE, AL&ML, Faculty of Engineering, Management & Technology (BGS Institute of Technology, B G Nagara, Mandya), Adichunchanagiri University is organizing “2nd International Conference on Recent Advances in Science and Engineering Technology'' (ICRASET – 2024) in association with IEEE during 21st and 22nd of November 2024.
This conference is aimed to bring researchers, practicing engineers, faculty members and students across the globe on a common platform to share their research ideas, innovative thinking that would pave the way to attain solutions to various real time problems. Many eminent researchers from different countries are expected to participate and interact with the young students and budding researchers of various institutions who are expected to be a part of this conference. We invite you to submit unpublished research contributions to this conference in the following tracks.
TRACKS
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Track 1: Electronics and Communication, Network and Power System Stability |
Track2: Advances in Computer Science, Information Technology, Artificial Intelligence |
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1. VLSI Design and Applications |
15. Video Processing |
1. Block Chain |
15. IoT protocols and Transports |
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2. Embedded System Design |
16. Device to Device communication |
2. Cyber Security |
16. Electronics and Signal processing for IoT |
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3. Antenna and Microwave Engineering |
17. Mobile Communications |
3. Artificial Intelligence and Machine Learning |
17. Grid Computing / Cloud Computing |
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4. Micro-Electro Mechanical Systems |
18. Unmanned Aerial Vehicle |
4. Networking |
18. IT Software Development and Methodology |
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5. RF Communication and 5G/6G Network |
19. Multimedia Networking |
5. Data Mining |
19. Information Retrieval and Database Systems |
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6. Wireless Communication and Networks |
20. Network Architectures |
6. Data Analytics |
20. Pattern Recognition and Information Retrieval |
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7. Image, Speech and Video Processing |
21. Network Based Applications |
7. Data Science |
21. Distributed Computing |
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8. Biomedical Engineering |
22. Wireless Sensor Networks |
8. Big Data Analytics |
22. Information Technology Applications |
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9. Multimedia Processing |
23. Network security and privacy |
9. Cloud Computing |
23. Software Architecture |
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10. DSP Algorithm and Architecture |
24. Optical Networking |
10. Deep Learning |
24. Evolutionary Algorithms |
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11. Multirate and Statistical Signal Processing |
25. Medical Imaging and Image Processing |
11. Natural Language Processing |
25. Software Engineering |
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12. Signal Processing for Communication and Networking |
26. Biomedical applications in molecular, structural, and functional imaging |
12. IoT and Industry 4.0 |
26. Semantic Web and related topics |
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13. Optical Fiber/Microwave communication |
27. Medical Signal Acquisition, Analysis, and Processing |
13. IoT System Interfaces |
27. Intelligent Robotics and Autonomous Agents |
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14. Multimedia & real-time communication |
28. Deep learning for Medical Imaging |
14. IoT-enhanced AR/VR/MR, Metaverse, and Games |
28. Operating systems |
Authors are invited to submit papers via Microsoft CMT online submission system
IEEE ICRASET is listed in the IEEE Conference Search/Call for Papers
CALL for Reviewer
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https://docs.google.com/forms/d/e/1FAIpQLSdLiW6AbdIzs4aBUt_S3ecdMUpOYIBZe68uxVAOZyld_GySCw/viewform |
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Publication: All accepted and presented papers will be submitted for possible inclusion into the IEEE Xplore Digital Library. Deadline for Full Paper submission: 25th September 2024. Please encourage your peers, friends, researchers, seniors, subordinates and students in your network to submit their quality papers to IEEE ICRASET-2024. |
Detailed Topics, Tracks and Schedule can be found in the below conference website
If any clarifications, please send an email to icraset@bgsit.ac.in
Regards,
Organizing Committee,
ICRASET24
Mobile1: 9916444448
Mobile2: 9845618066
ICRASET_Poster.pdf“Workshop on Advancing Non-invasive Human Motion Characterization in the Clinical Domain” (ANIMA) at BMVC
September 3rd, 2024 Daniela Lopez de Luise
1st Workshop on Advancing Non-invasive Human Motion Characterization in the Clinical Domain: Methods and Applications (ANIMA)
Workshop at BMVC, Glasgow, UK. 28th November
https://anima2024.sites.uu.nl/
Deadline for submission extended to September 5!
Motivation and topics
In the healthcare domain, understanding and characterizing human motion is essential for tasks, including diagnostics, monitoring and rehabilitation. Traditionally, the gold standard to accurately characterize and study human motion relies on motion capture systems and physical markers placed on the skin. These techniques are intrusive, expensive and they may limit natural movements. Furthermore, they limit the natural environment in which the analysis can take place. Recently, video analysis has become an increasingly viable alternative to marker-based systems to perform human motion analysis. This is due to the increasing progress – in terms of accuracy and computational resources needed – of deep learning algorithms in solving computer vision problems. In particular, recent advancements in deep learning-based Human Pose Estimation (HPE) algorithms enable the automated quantitative analysis of human motion from video data.
The application of computer vision in healthcare has the potential to revolutionize how we analyze human behavior. This workshop is positioned at the intersection of computer vision and medical applications, emphasizing the importance of extracting meaningful insights from video data. Our primary interest lies in the behavioral analysis of human motion. This focus is particularly crucial in healthcare, where precise understanding of an individual's movements can aid in early detection of neuromotor disorders, personalized care plans and effective rehabilitation strategies.
The medical domain poses unique challenges in ensuring robustness and high accuracy. Moreover, clinical applications require tailoring to specific demographics such as infants, elderly, or people with physical impairments. Consequently, dealing with data scarcity for training and benchmarking is another challenge. Our workshop aims to contribute to the broader computer vision community by focusing on those challenges that are inherent, but not unique, to the medical domain. We believe that tackling these topics in behavioral motion analysis within the medical domain will not only advance healthcare technology but also push the boundaries of computer vision research.
Topics of the workshop
- Motion quantification: measurement of human pose and motion in 2D or 3D, including multimodal approaches.
- Motion classification: detection of specific human motions, training classifiers with limited data.
- Clinical datasets: dealing with data scarcity, privacy, federated learning, synthetic data, and benchmarking.
- Motion recording: use, calibration and combination of various sensors.
- Applications: in the domain of infant analysis, diagnostics and rehabilitation.
- Real-time analysis: algorithms to perform human motion analysis in real-time, enabling applications such as continuous monitoring in clinical settings.
- Ethical considerations: studies that address ethical implications of using computer vision in healthcare, including issues related to privacy, consent and bias in algorithmic decision-making.
Invited speakers
Dr. Dimitris Tzionas is an assistant professor at the University of Amsterdam. He conducts research on the intersection of Computer Vision, Computer Graphics and Machine Learning. His motivation is to understand and model how people look, move and interact with the physical world and with each other to perform tasks. This involves: (1) accurately “capturing” real people and their whole-body interactions with scenes and objects, (2) modeling their shape, pose and interaction relationships, (3) applying these models to reconstruct real-life actions in 3D/4D and (4) using these models to generate realistic interacting avatars in 3D/4D. Potential applications include Ambient Intelligence, Virtual Assistants, Human-Computer/Robot Interaction and Mixed Reality. The long-term goal is to develop human-centered AI that perceives humans, understands their behavior and helps them to achieve their goals.
Dr. Logan Wade is a Research Fellow at the University of Bath, United Kingdom. As a clinical biomechanist, his research harnesses computer vision and machine learning to identify how patients move, with the goal of integrating biomechanical measures into clinical practice. Recent advances in Artificial Intelligence has seen the rise of motion capture methods that are fast and minimally invasive, allowing collection of data in clinics that was previously restricted to high-end biomechanical laboratories. However, while the accuracy of these systems has drastically improved over the past decade, determining if their accuracy is sufficient for use on an individual patient level is still to be determined. His long-term goal is to develop computer vision tools that are clinically relevant, employing mediums such as markerless video capture to identify movements of the body and 3D ultrasound to examine patient-specific spinal postures.
Dr. Sara Moccia is an Associate Professor in bioegineering at Universit`a degli Studi G. d’Annunzio (Chieti, Italy). She works on designing AI algorithms for clinical data analysis, with a specific focus on preterm infants’ care. She is the author of more than 50 papers. She is PI for three research projects for a total budget of around 2 mln euro. She serves as Associate editor for two international journal and currently as program chair for IPCAI
Dr. Simona Tiribelli is the director for AI Ethics of the Institute for Technology & Global Health at the MIT-funded spin-off PathCheck Foundation (Boston, US), assistant professor at the University of Macerata (Italy), where she teaches Ethics of Artificial Intelligence and Global Justice and Technology, 2023 visiting scholar in AI ethics at the New York University (NYU), and 2020 Fulbright awarded and fellow at the MIT Media Lab, Massachusetts Institute of Technology, US. She is also a founder of the spin-off GAIA (AI Ethics and Governance) and AI Ethics advisor for companies in Europe and US. She authored two books and a number of articles in leading scientific international journals on ethics of artificial intelligence and digital technology, and delivered on invite more than 50 talks in academic institutions such as Harvard University, Tufts University, Toronto University, and many more, in Europe, Canada, and USA.
Important dates
Paper submission: September 5th, 2024
Notification of acceptance: September 18th, 2024
Camera-ready submission: September 30th, 2024
Submission
Workshop papers should adhere to the paper guidelines of the main conference: https://bmvc2024.org/authors/author-guidelines/ Accepted papers will be included in the BMVC workshop proceedings published and DOI-indexed by BMVA. Submissions can be made through the submission system: https://cmt3.research.microsoft.com/ANIMA2024/
Organizers
Lucia Migliorelli: Department of Information Engineering, Marche Polytechnic University, Italy, l.migliorelli@staff.univpm.it
Matteo Moro: Department of Informatics, Bioengineering, Robotics and Systems Engineering (DIBRIS), University of Genova & Machine Learning Genoa (MaLGa) Center, Genova, Italy, matteo.moro@unige.it
Ronald Poppe: Department of Information and Computing Sciences, Utrecht University, Utrecht, The Netherlands, r.w.poppe@uu.nl