Held in the scope of IEEE FG 2025
26 or 30 May 2025 (TBD), Clearwater, Florida, USA
https://sites.google.com/view/sd-fga-2025/home
Paper submission: 17 April 2025, 11:59pm PST
*****************************
*** Call for Papers ***
Recent advancements in generative models within the realms of computer
vision and artificial intelligence have revolutionized the way
researchers approach data-driven tasks. The advent of sophisticated
generative models, such as GANs (Generative Adversarial Networks), VAEs
(Variational Autoencoders), or more recently diffusion models, has
empowered practitioners to create synthetic data that closely mirrors
real-world scenarios. These models enable the generation of
high-fidelity images and sequences, laying the foundation for
groundbreaking applications in face and gesture analysis. The
significance of these generative models lies in their ability to produce
synthetic data that is remarkably realistic, thereby mitigating
challenges associated with data scarcity and privacy concerns. As a
result, the utilization of synthetic data has become increasingly
prevalent in various research domains, offering a versatile and ethical
alternative for training and testing machine learning algorithms.
This workshop aims to delve into the diverse applications of synthetic
data in the realm of face and gesture analysis. Participants will
explore how synthetic datasets have been instrumental in training facial
recognition systems, enhancing emotion detection models, and refining
gesture recognition algorithms. The workshop will showcase exemplary use
cases where the integration of synthetic data has not only overcome data
limitations but has also fostered the development of more robust and
accurate models. As researchers increasingly recognize the potential of
synthetic datasets in shaping the future of computer vision and machine
learning, there arises a demand for a collaborative platform where ideas
can be exchanged, methodologies shared, and challenges addressed. This
workshop aims to bridge the gap between theoretical knowledge and
practical implementation, fostering a community of experts and
enthusiasts dedicated to advancing the frontiers of synthetic data in
face and gesture analysis.
Topics of interest include, but are not limited to:
+ Novel generative techniques for producing realistic face and gesture data
+ Innovative approaches for labeling and annotating synthetic data
+ Methods for preventing data leakage in synthetic datasets
+ Development of synthetic data pipelines for biometrics
+ Techniques for using synthetic data to enrich and augment existing
datasets
+ Synthetic data as a tool for bias reduction and promoting fairness in
face and gesture analysis
+ Criteria and methodologies for assessing the quality of synthetic
datasets
+ Privacy-focused synthetic data generation for sensitive applications
+ New applications for synthetic data in areas like augmented reality,
animation, and virtual environments
+ Comparative performance benchmarks and quality assessments of
synthetic datasets
*** Paper format and submission ***
Call for Papers – AIBThings 2025 (IEEE Conference)
April 22nd, 2025 
Daniela Lopez de Luise 🔹 Track 2: Artificial Intelligence
🔹 Track 3: Internet of Things
🔹 Track 4: Generative AI and Applications
📝 Paper Submission Deadline: June 10, 2025
📬 Notification of Acceptance: July 20, 2025
📦 Camera-Ready Submission: August 30, 2025
AIBThings 2025 is supported by IEEE Northeast Michigan Section and offers an excellent opportunity to:
-
Present your work at an international forum
-
Network with top researchers and professionals
-
Publish in IEEE Xplore (upon acceptance and presentation)
-
Gain recognition in the fields of AI, Blockchain, IoT, and Generative AI
Authors are invited to submit original, unpublished research papers aligned with the conference themes. Submissions must not be under review elsewhere. Detailed formatting instructions, paper templates, and submission procedures are provided on our official website.
For more information and to submit your paper, please visit: https://www.aibthings.com
For any inquiries, feel free to contact us at: info@aibthings.com” target=”_blank”>info@aibthings.com
Sclera Segmentation Benchmarking Challenge 2025
April 22nd, 2025 Daniela Lopez de Luise Digital Data Processing 2025-
April 22nd, 2025 Daniela Lopez de Luise August 18-20, 2025
(www.socio.org.uk/ddp)
(IEEE Publication)
As technology advances in different sub-domains of computing,
data-driven models are becoming increasingly important. The
data-dependent world now faces many challenges in terms of data accuracy
and data privacy. High-impact advancements include machine learning,
artificial intelligence, deep learning and many more. Data is growing
exponentially in terms of diversity and complexity. One organization or
industry processes over a few million transactions per hour and stores
hundreds of billions of data. We live in a world with a great need for
more efficient data analysis and processing. Data analytics can reveal
hidden patterns, complex relationships, internal information relations,
and even segmentation. Data applications have opened up new
possibilities in every aspect of our lives. Studying data and its
structure, dynamics, and modern data technologies is ongoing. There is a
great deal of literature and research on data management, but it does
not address the data processing needs. Many studies focus on developing
models and systems for analysing large datasets.
Data analysis leads to application domains that have a systematic impact
on decisions. The knowledge gained from the data analysis enables the
generation of critical information for multiple domains. In this
conference, we review and discuss the latest trends in data management,
the opportunities and challenges, and how they have affected
organizations' ability to develop effective business and technology
strategies and stay up-to-date in data technology. We also highlight
current open research directions in data analytics that need further
attention.
The proposed conference will discuss topics not limited to
Data applications in various domains and activities
Data in cloud
Real-world data processing
Data inaccuracy and reliability issues
Data Ecosystem
Business Analytics
New data analytics techniques
Physical and management challenges
Synthetic data
Data synthesis
Crowdsourcing and Sensing
Data modelling
Deep learning techniques
Data fusion
Descriptive analytics, Diagnostic analytics, Predictive Analytics, and
Prescriptive analytics
Machine learning impact on data processing
Network optimization
Data in Biomedical Engineering
Data in Materials science and mechanics
Data handling and applications in domains
Wireless Networking Data Management
Data of Electronic & Embedded Systems
Multi-media Systems Data
Artificial Intelligence Models and Systems Data
E-Computing Data
Renewable Energies Data
General Chair
General Chair
Ezendu Ariwa
Warwick University, UK
Program Chairs
Youshan Zhang, Yeshiva University, USA
Simon Fong, University of Macau, Macau
Duong Van Hieu, Tien Giang University, Vietnam
Program Co-chairs
Martin Lopez Nores, University of Vigo, Spain
Frankie Wilson, University of Oxford. UK
Publications
All accepted and presented papers will be submitted to IEEE Xplore for
publication and indexing.
The DDP 2025 has co-located workshops.
Modified versions of the papers will appear in the following journals.
Journal of Digital Information Management
International Journal of Computational Linguistics
Performance Measurements and Metrics
Important Dates
Submission of Papers: June 20, 2025
Notification of Acceptance/Rejection: July 15, 2025
Camera-ready: August 10, 2025
Registration: August 10, 2025
Conference Dates: August 18-20, 2025
Post-Conference Proceedings Release: November 30, 2025
Paper submission
Papers should follow the IEEE template. Submissions at
http://socio.org.uk/ddp/paper-submission/
Contact: ddp@socio.org.uk
2025 IEEE India Geoscience and Remote Sensing Symposium
April 22nd, 2025 Daniela Lopez de Luise Greetings from the InGARSS 2025 Organizing Committee!
CFP-InGARSS2025-II.pdf