The International Conference on Real-time Intelligent Systems (RTIS) has
travelled from Beijing, China (2016), to Macau. The seventh edition will
take place at the University of Macau, Macau and at the Posts and
Telecommunications Institute of Technology, Ho Chi Minh, in Vietnam.

Over the past few years, real-time intelligent computing has
revolutionised the human lifestyle. Research on real-time intelligent
systems is multi-disciplinary, exploiting concepts from diverse areas
such as big data processing, computational intelligence, location-based
services, recommendation systems, and multimedia processing. In today’s
highly dynamic environment, analysing data in real-time is necessary to
understand how systems process data, reason the outputs, and anticipate
trends in intelligent computing. To this end, this conference will serve
as a platform to manifest the ongoing research in the field. Thus, RTIS
welcomes theoretically grounded, methodologically sound papers that
address aspects related to the following topics.

CALL FOR PAPERS (Virtual/Physical)

Artificial Intelligence and Data Mining
Streaming data, streaming engines
Trace-based intelligent real-time services
Adaptive vision algorithms
Location-based services
Intelligent Robotic Systems
Collaborative Intelligence

Data capture in real-time
Data quality and cleansing
Intelligent Data Analysis
Intelligent Database Systems
Knowledge representation and reasoning
Intelligent information fusion
Large Language Models, cognitive methods, sequential inference, data
mining, pattern/behavioral analysis
Big Data systems and applications for high-velocity data
Intelligent Information Systems
Privacy and security in Intelligence
Software Engineering Solutions

Intelligent Soft Computing
Real-time multiprocessor systems
Internet of Things
Architectures for Intelligence
Real-time distributed coding
Smart services and platforms
Real-time modelling user information needs
Wireless Communication

Real-time intelligent communication
Real-time intelligent network solutions
Mobile Smart Systems
Broadband Intelligence
Cloud Computing and Intelligence
Collaborative Intelligence
Analysis in domains such as energy, sensors

Decision support systems in real-time
Multi-agent Intelligent Systems
Multilingual information access
Recommendation systems
Real-time intelligent alert systems
Real-time remote access systems
Intelligent Transportation Systems

Autonomous systems (incl. autonomous vehicles and drones)
Distributed systems
Cloud/edge computing/fusion
Defence/security, robotics, aerospace, intelligent transportation
Mining/Manufacturing
Environmental monitoring
Critical Real-time Applications

Real-time noise removal systems
Event-driven analytics
Intelligent Fuzzy Systems
Machine translation in real-time
OLAP for real-time decision support
Crowdsourcing and crowd intelligence
AI in Agriculture
Smart Agriculture Systems

User experience in Real-Time Systems
Anomaly Detection
Predictive Maintenance
Image and Video Recognition
Natural Language Processing
Vulnerability Management
Healthcare
Customer Analytics

Submission, proceedings
Papers must be submitted online through OpenConf. Author instructions
and LaTex2e (preferred) and Word macro files are available on the
submission page. Submitted papers should be at most 14 pages (long
papers) and 8 pages (short ones), including figures, tables and
references (in the Springer template). Authors of accepted papers are
required to transfer their copyrights. For a paper to appear in the
proceedings, at least one of the authors MUST register for the
conference by the camera-ready submission deadline with a full
registration.

Springer’s Lecture Notes in Networks and Systems (LNNS)
(https://www.springer.com/series/15179) will publish the accepted papers
and be indexed in SCOPUS, EI Compendex, INSPEC, WTI Frankfurt eG,
zbMATH, and SCImago. All the papers published in the series are
submitted for consideration in the Web of Science.

Important Dates

Submission of Papers:   August 25, 2025
Notification of Acceptance/Rejection:   September 20, 2025
Camera-ready:   October 05, 2025
Registration:   October 05, 2025
Conference Dates:   October 13-14, 2025

General Chair

Simon Fong, University of Macau, Macau

Program Chairs
Pit Pichappan, Digital Information Research Labs, India
Dion Goh, Nanyang Technological University, Singapore

Program Co-chairs
Duong Van Hieu, Tien Giang University, Vietnam
Ricardo Rodriguez-Jorge, Technological Centre Ceit, Spain
Pavel Losket, Zhejiang University-University of Illinois at
Urbana-Champaign Institute, China

Contact: stm@socio.org.uk

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