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Fuzhou University, China.

2025 3rd International Conference on Big Data and Privacy Computing will be held in Fuzhou, China during May 30-June 1, 2025. The event is sponsored by Fuzhou University, China. This conference provides opportunities for the different areas Delegates to exchange new ideas and application experiences face to face, to establish business or research relations and to find global partners for future collaboration. We hope that the conference results constituted significant contribution to the knowledge in these up-to-date scientific field.

Email.: saraxc17@163.com

# # Track 1 - Big Data Architecture and Systems Big Data Algorithms, Applications and Services Structured and Unstructured Data/Text/Web Mining Big Data Architectures Algorithms and Systems for Big Data Search Big Data Analysis Analytics and Metrics Big Data Analysis Architectures Big Data Open Platforms Big Data Quality and Provenance Control Big Data Toolkits Foundational Models for Big Data Experiences with Big Data Project Deployments Hardware/software infrastructure for big data Techniques, models and algorithms for big data Tools and systems for big data Algorithms and Programming Techniques for Big Data Processing Big Data Analytics and Metrics # # Track 2 -Data Encryption and Privacy Protection Hardware and Software solutions for Big Data Searching, Storing and Management Privacy and Security for Cloud and Big Data Virtualization Technologies, Cloud Data Management and Storage, Cloud Resource Management and QoS Big Data Analysis Encryption Big Data Analysis Management Big Data as a Service Big Data Encryption Big Data in Business Performance Management Big Data in Enterprise Management Models and Practices Big Data in Government Management Models and Practices Collaborative Threat Detection using Big Data Analysis Analytics Management Issues of Social Network Big Data Models and Languages for Big Data Protection Privacy Preserving Big Data Analytics Security and privacy for big data Big Data Management Big Data Protection, Integrity and Privacy Security Applications of Big Data Anomaly Detection in Very Large Scale Systems Big Data Persistence and Preservation Data quality issues: such as validation, metrics, optimizations and consistency # # Track 3 - Big Data Analysis and Computing Big Data Mining and Analytics Big Data Processing and Querying Data Visualization and Visual Analytics Evolutionary and Bio-inspired approaches for Big Data analysis Big Data Visualization Machine learning based on Big Data Data-driven innovation, computational modelling and data integration Data intensive computing theorems and technologies Big Data Analysis Search and Mining Big data analytics and social media Data mining, graph mining and data science Intelligent Data Processing Visualization Analytics for Big Data Big Data Models and Algorithms Cloud Computing Techniques for Big Data Big Data in Mobile and Pervasive Computing Big Data Search and Mining Novel Computational Intelligence approaches for data analysis # # Track 4 - Big Data Science and Applications Representation Formats for Multimedia Big Data New domains and novel applications related to Big Data technologies Scientific Applications of Big Data Scalable computational intelligence tools Cloud and Big Data for Internet of Things (IoT) Government and Industrial Experiences for Cloud and Big Data Green Computing and Networking Technologies for Cloud and Big Data Big Data Education Big Data Analysis for Business Model Innovation Big Data Analysis for Enterprise, Government and Society Big Data Analysis Economics Big data applications: Bioinformatics Big Data for Business Model Innovation Big Data for Enterprise Transformation Big Data for Vertical Industries (including Government, Healthcare, and Environment) Big Data in Smart Planet Solutions Machine learning and AI for big data Real-life Case Studies of Value Creation through Big Data Analytics SME-centric Big Data Analytics Software Engineering for Cloud Computing and Big Data Software, hardware and algorithm co-design, high-performance computing Software and tools for big data management # # Track 5 - Data Security and Blockchain Application Technology Blockchain Blockchain based lightweight data structures for IoT data Blockchain based IoT security solutions Blockchain in cyber physical systems Blockchain in social networking Bolckchain in crowdsourcing and crowdsensing Blockchain in 5G Blockchain in edge and cloud computing Blockchain and trust management Cryptocurrency Cryptographic hash function Cryptography Distributed ledger Distributed consensus algorithm Blockchain for business Blockchain for industries Blockchain for Cryptocurrency security Blockchain for supply chain solutions

CZESND

2025 9th International Conference on Power Energy Systems and Applications (ICoPESA) will be held at Nanjing, China during June 20-22, 2025. ICoPESA 2025 is sponsored by Nanjing University of Aeronautics and Astronautics. The conference continues to retain its tradition of high-quality conference and will open up an opportunity for academics and industrial professionals worldwide to exchange their knowledge of the state-of-the-art power energy systems and applications, the future role of power energy systems in ecological revolution will be explored at ICoPESA.

Email.: Nazal@sina.com

Power system solutions towards a net-zero future; Energy efficiency and low carbon emission; Big data & AI in energy internet; New-type power system; Power electronics application in power systems; Aerospace power electronics; Renewable energy and energy storage systems; Electric power sustainable technologies; Transportation electrification and more-electric-aircraft; Power equipment planning & asset management;

Réseau électrique et réseau électrique intelligent,    Systèmes, contrôle et automatisation

2025 7th Asia Conference on Machine Learning and Computing will be held in Hong Kong, China during July 25-27, 2025. It aims to provide a forum for researchers, practitioners, and professionals from the industry, academia and government who are working in the field of machine learning and computing to discourse on research and development, professional practice in related fields.

Tél.: [+86-186-2405-8113];     Email.: helen@academic.net

TRACK 1: Machine Learning Theory and Applications Track Chair: Prof. Ke-Lin Du, Guangdong University of Science and Technology, China Recommender Systems Deep Learning Supervised Learning Reinforcement Learning Neural Networks and Applications Computational Theories of Learning Intelligent Search Statistical Learning Real-time Decisions Big Data Visualization Image Classification Robot Navigation Data Mining TRACK 2: Intelligent Computing and Algorithms Track Chair: Assoc. Prof. Abolfazl Razi, Clemson University, USA Computer Modeling Parallel Computing Quantum Computing High Performance Computing Distributed and Parallel Systems Cognitive Computing Cloud Computing Distributed Computing Grid Computing Embedded Computing Scalable Computing Human-centred Computing Mobile Computing