8th Special Session on HealthCare Data in IEEE Big Data 2025
Health data differs from other industries' data in terms of structure, context, importance, volatility,
availability, traceability, liquidity, change speed, usage and sources from which it is collected. As medicine
is a constantly developing science, healthcare sector also. In this new emerging research area which stands at
the intersection of several different discipline such as Medicine, Behavioral Science, Supply Chain Management
or Big Data Analytics, techniques, methods, applications and devices are continuously developed to be used for
the acquisition, storage, processing, analysis, standardization and optimization of every process in the health
sector. As the healthcare sector is so challenging and related data are consistently explosive, healthcare
organizations are focusing to become smarter in order to overcome the industry' s inefficiencies to improve
quality of care. "To become smarter" requires impeccable data analytics. All stakeholders in the
sector should
reveal the deep value of this valuable data in order to apply insights to improve quality of care, clinical
outcomes and deliver personalized healthcare value, while reducing medical costs, collaborate across care
settings to deliver integrated, personalized care experiences, prevent disease, promote wellness and manage
care, build flexibility into operations to support cost reduction and excellence in clinical and business
performance and practices.
The general purpose of this special session in IEEE BigData 2025 conference is to bring together researchers,
academicians and sector employees from different fields and disciplines and provide them an independent platform
to exchange information on their researches, ideas and findings about healthcare data and its analytics. It is
also aimed to encourage debate on how big data can effectively support healthcare in terms of diagnosis,
treatment and population health, and to develop a common understanding for research conducted in this
multidisciplinary field.
Topics of interest include, but are not limited to, the following:
Health data collection and analysis
Problems in health data processing
Protection and security of personal health data
Electronic health records and standards
Healthcare Information Systems
Medical Imaging Systems
Medical Applications
Mobile Solutions
Pervasive Healthcare Information Systems and Services
Wearable health information
Information solutions developed for the disabled
Process Management in Health Informatics Systems
Health Decision Support Systems
E-health Applications
Special Session Organizers:
Sultan Turhan (sturhan@gsu.edu.tr), PhD., Department of Computer Engineering, Galatasaray University
Assist. Prof. Ozgun Pinarer (opinarer@gsu.edu.tr), Department of Computer Engineering, Galatasaray
University
Important Dates:
Full paper submission: Aug 29, 2025
Notification of paper acceptance: Oct 24, 2025
Camera-ready of accepted papers: Nov 14, 2025
Conference: Dec 8-11, 2025
Papers should be submitted as a PDF in 2-column IEEE format. Detailed instructions for the authors can be found
at the conference website (https://conferences.cis.um.edu.mo/ieeebigdata2025/)
Accepted papers will be published in the conference proceedings.
All accepted papers must be presented by one of the author/s in the conference to include the article in the
proceedings.
If you have any questions about the special session, please do not hesitate to contact us.
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12nd IEEE Special Session on Privacy and Security of Big Data(PSBD 2025)
Aim and Scope
The 12nd IEEE Special Session "Privacy and Security of Big Data" (PSBD 2025) of the 2025 IEEE
International
Conference on Big Data (IEEE BigData 2025) follows the great success of eleven previous editions co-located with
the IEEE BigData and ACM CIKM conference series and focuses the attention on privacy and security research
issues in the context of Big Data, a vibrant and challenging research context which is playing a leading role in
the Database research community. Indeed, while Big Data is gaining the attention from the research community,
also driven by some relevant technological innovations (like Clouds) as well as novel paradigms (like social
networks), the issues of privacy and security of Big Data represent a fundamental problem in this research
context, due to the fact Big Data are typically published online for supporting knowledge management and
fruition processes and, in addition to this, such data are usually handled by multiple owners, with possible
secure multi-part computation issues. Some of the hot topics in the context privacy and security of Big Data
include: (i) privacy and security of Big Data integration and exchange; (ii) privacy and security of Big Data in
data-intensive Cloud computing; (iii) system architectures in support of privacy and security of Big Data, e.g.,
GPUs: (iv) privacy and security issues of Big Data querying and analysis.
The PSBD 2025 special session focuses on all the research aspects of privacy and security of Big Data. Among
these, an unrestricted list is the following one:
The 12nd IEEE Special Session "Privacy and Security of Big Data" (PSBD 2025) of the 2025 IEEE
International
Conference on Big Data (IEEE BigData 2025) will be held in Macau, China, during December 5-8, 2025, and it aims
to
synergistically connect the research community and industry practitioners. It provides an international forum
where
scientific domain experts and Privacy and Security researchers, practitioners and developers can share their
findings in theoretical foundations, current methodologies, and practical experiences on Privacy and Security of
Big
Data. PSBD 2025 will provide a stimulating environment to encourage discussion, fellowship, and exchange of
ideas in
all aspects of research related to Privacy and Security of Big Data. This includes both original research
contributions and insights from practical system design, implementation and evaluation, along with new research
directions and emerging application domains in the target area. An expected outcome from PSBD 2025 is the
identification of new problems in the main topics, and moves to achieve consolidated solutions to already-known
problems. Other goals are to help in creating a focused community of scientists who create and drive interest in
the
area of Privacy and Security of Big Data, and additionally to continue on the success of the event across future
years.
Special Session Location
Macau, China
Submission Guidelines and Instructions
Contributions are invited from prospective authors with interests in the indicated session topics and related
areas
of application. All contributions should be high quality, original and not published elsewhere or submitted for
publication during the review period.
Submitted papers should strictly follow the IEEE official template. Maximum paper length allowed is:
Submitted papers will be thoroughly reviewed by members of the Special Session Program Committee for quality,
correctness, originality and relevance. All accepted papers must be presented by one of the authors, who must
register.
Papers must be submitted via the CyberChair System by selecting the track "Special Session on Privacy and
Security of Big Data".
Paper Publication
Accepted papers will appear in the official IEEE Big Data 2025 main conference proceedings, published by IEEE.
Important Dates
Paper submission: September 29, 2025
Notification of acceptance: October 31, 2025
Camera-ready paper due: November 14, 2025
Special Session: December 5-8, 2025
Program Committee Chair
Alfredo Cuzzocrea, University of Calabria, Italy
Program Committee
Maurizio Atzori, University of Cagliari, Italy
Roberto Baldoni, University of Rome "Sapienza", Italy
Elisa Bertino, CERIAS and Purdue University, USA
Pietro Colombo, University of Insubria, Italy
Alfredo Cuzzocrea, University of Calabria, Italy
Rinku Dewri, University of Denver, USA
Katerina Doka, NTUA, Greece
Josep Domingo-Ferrer, Universitat Rovira i Virgili, Spain
Yucheng Dong, Sichuan University, China
Murat Kantarcioglu, University of Texas at Dallas, USA
Thorsten Strufe, Technische Universitat Darmstadt, Germany
Vicenc Torra, IIIA-CSIC, Spain
Traian Marius Truta, Northern Kentucky University, USA
Xiaokui Xiao, Nanyang Technological University, Singapore
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10th IEEE Special Session on Machine Learning on Big Data (MLBD 2025)
Aim and Scope
The 10th IEEE Special Session "Machine Learning on Big Data" (MLBD 2025) of the 2025 IEEE
International
Conference on Big Data (IEEE BigData 2025) follows the great success of nine previous editions co-located with
the IEEE BigData and IEEE ICMLA conference series and focuses on machine learning models, techniques and
algorithms related to Big Data, a vibrant and challenging research context playing a leading role in the Machine
Learning and Data Mining research communities. Big data is gaining attention from researchers, being driven
among others by technological innovations (such as cloud interfaces) and novel paradigms (such as social
networks). Devising and developing machine learning models, techniques and algorithms for big data represent a
fundamental problem stirred-up by the tremendous range of critical applications incorporating machine learning
tools in their core platforms. For example, in application settings where big data arise and machine is useful,
we recognize, among other things: (i) machine-learning-based processing (e.g., acquisition, knowledge discovery,
and so forth) over large-scale sensor networks introduces important advantages over classical
data-management-based approaches; similarly, (ii) medical and e-heath information systems usually include
successful machine learning tools for processing and mining very large graphs modelling patient-to-disease,
patient-to-doctor, and patient-to-therapy networks; (iii) genome data management and mining can gain important
benefits from machine learning algorithms. Some hot topics in machine learning on big data include: (i) machine
learning on unconventional big data sources (e.g., large-scale graphs in scientific applications,
strongly-unstructured social networks, and so forth); (ii) machine learning over massive big data in distributed
settings; (iii) scalable machine learning algorithms; (iv) deep learning models, principles, issues; (v)
machine-learning-based predictive approaches; (vi) machine-learning-based big data analytics; (vii)
privacy-preserving machine learning on big data; (viii) temporal analysis and spatial analysis on big data; (ix)
heterogeneous machine learning on big data; (x) novel applications of machine learning on big data (e.g.,
healthcare, cybersecurity, smart cities, and so forth).
The MLBD 2025 special session focuses on all the research aspects of machine learning on Big Data. Among these,
an unrestricted list includes:
The 10th IEEE Special Session "Machine Learning on Big Data" (MLBD 2025) of the 2025 IEEE
International
Conference on Big Data (IEEE BigData 2025) will be held in Macau, China, during December 5-8, 2025, and it aims
to synergistically connect the research community and industry practitioners. It provides an international forum
where scientific domain experts and Machine Learning and Data Mining researchers, practitioners and developers
can share their findings in theoretical foundations, current methodologies, and practical experiences on Machine
Learning on Big Data. MLBD 2025 will provide a stimulating environment to encourage discussion, fellowship, and
exchange of ideas in all aspects of research related to Machine Learning on Big Data. This includes both
original research contributions and insights from practical system design, implementation and evaluation, along
with new research directions and emerging application domains in the target area. An expected outcome from MLBD
2025 is the identification of new problems in the main topics, and moves to achieve consolidated solutions to
already-known problems. Other goals are to help in creating a focused community of scientists who create and
drive interest in the area of Machine Learning on Big Data, and additionally to continue on the success of the
event across future years.
Special Session Location
Macau, China
Submission Guidelines and Instructions
Contributions are invited from prospective authors with interests in the indicated session topics and related
areas of application. All contributions should be high quality, original and not published elsewhere or
submitted for publication during the review period.
Submitted papers should strictly follow the IEEE official template. Maximum paper length allowed is:
Submitted papers will be thoroughly reviewed by members of the Special Session Program Committee for quality,
correctness, originality and relevance. All accepted papers must be presented by one of the authors, who must
register.
Papers must be submitted via the CyberChair System by selecting the track "Special Session on Machine
Learning
on Big Data".
Paper Publication
Accepted papers will appear in the official IEEE Big Data 2025 main conference proceedings, published by IEEE.
Important Dates
Paper submission: September 29, 2025
Notification of acceptance: October 31, 2025
Camera-ready paper due: November 14, 2025
Special Session: December 5-8, 2025
Program Committee Chair
Alfredo Cuzzocrea, University of Calabria, Italy
Program Committee
Michelangelo Ceci, University of Bari, Italy
Alfredo Cuzzocrea, University of Calabria, Italy
Joao Gama, University of Porto, Portugal
Marwan Hassani, TU Eindhoven, The Netherlands
Mark Last, Ben-Gurion University of the Negev, Israel
Rocco Langone, Deloitte, Belgium
Carson K. Leung, University of Manitoba, Canada
Sofian Maabout, LABRI, Bordeaux University, France
Anirban Mondal, Shiv Nadar University, India
Enzo Mumolo, University of Trieste, Italy
Apostolos Papadopoulos, Aristotle University of Thessaloniki, Greece
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11th Special Session on Intelligent Data Mining
After the successes of the first, second, third, fourth, fifth, sixth, seventh, eighth, ninth and tenth editions
of Special Session on Intelligent Data Mining in Santa Clara, CA (2015); Washington, DC (2016); Boston, MA
(2017); Seattle, WA, (2018); Los Angeles, CA, (2019); Online Pandemic Session (2020), Online Pandemic Session
(2021); Osaka, JAPAN (2022); Sorrento, ITALY (2023); Washington DC, USA (2024) and the 11th Special Session on
Intelligent Data Mining in Macau SAR, CHINA will continue promoting and disseminating the knowledge concerning
several topics and technologies related to data mining science.
Artificial Intelligence (AI) & Machine Learning (ML) & Deep Learning (DL) fields are interdisciplinary,
including computer science, mathematics, psychology, linguistics, philosophy, neuroscience etc. This
interdisciplinary special session seeks scientific understanding on data and intelligence.
This session may help to create scientific evolution to propose robust and powerful schemes between human nature
and data processing.
Intelligent Data Mining session open to every researcher as well as industrial partners,
The aims of this Special Session on Intelligent Data Mining are to:
in the fields of theory and applications of data mining, artificial intelligence, computer science, mathematics,
psychology, linguistics, philosophy, neuroscience and other disciplines to discuss better understanding of big
data and intelligence.
The papers submitted to this special session might be in a large range of topics that include theory,
application and implementation of artificial intelligence, machine learning and data mining including but not
limited to the topics given below,
Use of Artificial Intelligence || Machine Learning || Deep Learning in
Papers should be submitted for this special session by Sept 28, 2025
Papers should be submitted as a PDF in 2-column IEEE format. Detailed instructions for the authors can be found
at the conference website. Accepted papers will be published in the conference proceedings. All accepted papers
must be presented by one of the author/s in the conference to include the article in the proceedings.
If you have any question about this special session, please do not hesitate to direct your question to the
special session organizer Asst. Prof. Dr. Uraz YAVANOGLU
(urazyavanoglu@gmail.com, uraz@gazi.edu.tr)
Special Session Organizer:
Asst. Prof. Dr. Uraz YAVANOGLU,
Department of Computer Engineering (CS)
Gazi University, Turkey
The important dates for this special session are:
Full Paper Submission Deadline: Sept 28, 2025 11:59 pm PST
Notification of Acceptance: Nov 2, 2025
Camera-ready papers & Pre-registration: Nov 14, 2025, 11:59pm PST
Conference Dates: Dec 8-11, 2025
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