
۰۱ آذر - ۰۳ آذر ۱۴۰۴
International Conference on Parallel and Distributed Computing, Applications and Technologies
هنوز دنبالکنندهای وجود ندارد.
نمای کلی
The 26th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT 2025) will be held in Gold Coast, Australia from November 22-24, 2025. The conference offers both in-person and virtual attendance options. Accepted and presented papers will be published in Springer's Lecture Notes in Computer Science (LNCS) series, with selected papers invited for extended publication in SCI-indexed journals.
Call for Papers
The 26th International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT 2025) invites submissions of original and unpublished research. The conference will be held in Gold Coast, Australia from November 22-24, 2025.
The conference format includes in-person attendance with support for virtual attendance via live online presentations.
Important Dates
All deadlines are based on Australian Eastern Standard Time (AEST), at midnight on the specified date.
- Paper Submission Deadline: 1 August 2025
- Notification of Acceptance: 15 September 2025
- Camera-Ready Submission Deadline: 30 September 2025
- Conference Dates: 22 – 24 November 2025
Scope and Topics
We invite submissions of original and unpublished research on, but not limited to, the following topics:
Networking and Architectures
- Parallel and distributed architectures
- Interconnection networks
- Heterogeneous and multimedia systems
- Reliability, availability, and fault tolerance
- Ubiquitous and pervasive computing systems
- ATM and high-speed networks
- Computer networks and optical networks
- Communication and telecommunication systems
- Wireless networks and mobile computing
- Internet of Things (IoT)
- Cloud and grid computing systems
- Edge and fog computing
- Reconfigurable computing architectures
Algorithms and Applications
- Artificial Intelligence algorithms
- Database systems and data mining
- Intelligent computing and neural networks
- Parallel and distributed algorithms
- Big data computing and analytics
- Distributed data and knowledge-based systems
- Image processing and computer graphics
- High-performance scientific computing
- Reconfigurable high-performance computing systems
- Resource allocation and management
- Network routing and communication algorithms
- Bioinformatics and computational biology
Software Systems and Technologies
- Task mapping and job scheduling
- Formal methods and programming languages
- Internet computing and applications
- Quantum computing and algorithms
- Image processing and computer vision
- Agent-based technologies
- Operating systems and system software
- Software tools and development environments
- Parallelizing compilers and optimization
- Web services and distributed applications
- Component-based software technologies
- Simulation, modeling, and visualization
Security and Privacy
- Distributed federated learning paradigms
- Quantum-enabled federated learning frameworks
- Privacy-preserving mechanisms for artificial intelligence
- Security of artificial intelligence systems
- Privacy-preserving crowd intelligence
- Attack and defense algorithms in federated learning
- Attack and defense strategies for edge computing
- Quantum-based defense mechanisms in federated learning paradigms
- Privacy-preserving computation techniques
- Database security and cloud security
- Access control, authorization, and biometric security
High-Performance Systems
- Operating systems for parallel and distributed systems
- High-performance computer arithmetic
- Memory hierarchy and caching
- Performance tuning, optimization, and profiling
- Human-computer interaction in parallel and distributed systems
- Photonic and quantum computing
- Media computing in parallel and distributed systems
- Software engineering for parallel and distributed systems
Big Data Management and Processing
- Massive data stream processing in cloud environments
- Graph analytics, social networks, and the semantic web
- Data systems for knowledge discovery, data mining, and machine learning
- Big data models and computational theory
- Crowdsourced and collaborative data management
- Distributed, decentralized, and parallel data management, including blockchain systems
- Processing and analytics for graphs, social networks, and semantic web data
- Security, privacy, and ethics in data and analytics
- Multi-source data processing and integration
- Deep learning models and applications
Publication
All accepted and presented papers will be published in the Lecture Notes in Computer Science (LNCS) series by Springer. Selected papers presented at the conference will be invited for extended publication in special issues of SCI-indexed journals, including:
- Tsinghua Science and Technology (Impact Factor: 5.2)
- Human-centric Computing and Information Sciences (Impact Factor: 3.9)
- Computers and Electrical Engineering (Impact Factor: 4.0)
- CCF Transactions on High Performance Computing (Impact Factor: 1.3)
Submission Information
- Submit your paper via: Submission
Contact Us
- Email: pdcatconf@gmail.com
تاریخهای مهم
تاریخهای کنفرانس
Conference Date
۱ آذر ۱۴۰۴ → ۳ آذر ۱۴۰۴
ارسال مقاله
Paper Submission Deadline
۱۰ مرداد ۱۴۰۴
اعلان
Notification of Acceptance
۲۴ شهریور ۱۴۰۴
نسخه نهایی
Camera-Ready Submission Deadline
۸ مهر ۱۴۰۴
رتبه منبع
منبع: CORE2023
رتبه: C
حوزه پژوهشی: Distributed computing and systems software