This Conference aims to bring together researchers, scientists, engineers, students and practitioners from industries to exchange and share their theories, methodologies, new ideas, experiences, products, applications in all areas of statistical sciences methods, intelligent computing theories, methodologies. This Edition of NCSC is making a new journey with a unique theme: From Data to Decisions: The Fusion of Artificial Intelligence and Statistical Sciences.
In this edition, we delve into the transformative power of Artificial Intelligence (AI) and Statistical Science within general sector, where cutting-edge technology intersects with the human touch. Our exploration encompasses the seamless integration of AI-driven solutions and Statistical Science, from data to decision, and beyond, in the pursuit of optimal outcomes. Through this theme, we illuminate the collaborative synergy between AI algorithms, Statistical Sciences methodology, and applications, fostering a new era of advanced optimization, generative AI, and intelligent experiences. Join us as we navigate the frontier of AI and Statistic Science, where innovation meets compassion to redefine the future of wellness and wellbeing.
Key questions that researchers and policymakers are now considering include:
What types of AGI systems might be achievable in the near future, and what will be their respective advantages and limitations?
What are the most critical unresolved challenges that must be overcome to develop human-level AGI?
What are the best methods for assessing the capabilities of AI systems as they near and eventually surpass human-level intelligence?
How can we ensure that emerging AGI systems are guided both cognitively and ethically during their development?
What roles should industry, government, academia, and the open-source community play in the future stages of AGI development?
How will the advent of AGI impact societal structures, employment, and everyday life?
The NCIC-SS 2025 is positioned as the leading national event aimed at advancing the understanding and development of thinking machines with general intelligence at or beyond the human level. This event will bring together experts from various fields to explore these critical questions and chart a path forward for the future of AI and Statistical Science.
Prof. Dr. Habshah Midi
INSPEM Consultant Fellow
President of Malaysian Institute of Statistics (ISMy)
Dr. Azree Shahrel Ahmad Nazri
Head of Laboratory of Computational Statistics and Operations Research
President of Artificial Intelligence Society Malaysia (ARTIS)
Appropriate topics for contributed papers include, but are not restricted to:
Artificial Intelligence Track
Machine Learning and Deep Learning for Information Systems
Natural Language Processing and Text Analytics
Knowledge Representation and Reasoning
Sentiment Analysis and Opinion Mining
Intelligent Data Integration and Fusion
AI-driven Decision Support Systems
Cognitive Computing and Smart Systems
Intelligent User Interfaces and Human-Computer
Interaction
Big Data Management and Processing
Data Mining and Pattern Recognition
Predictive Analytics and Data-driven Modeling
Real-time Stream Processing and Analytics
Scalable and Distributed Data Analytics
Social Media Analytics
Visualization Techniques for Big Data
Ethical and Privacy Aspects of Big Data Analytics
Cybersecurity and Threat Detection
Privacy-preserving Data Mining and Analytics
Secure Cloud Computing and Storage
Blockchain Technology for Information Security
Network Security and Intrusion Detection
Biometric Authentication and Identity Management
Digital Forensics and Incident Response
Risk Assessment and Management in Information Systems
IoT-enabled Information Systems and Applications
Smart Cities and Urban Informatics
Wearable Computing and Health Informatic
IoT Data Analytics and Real-time Processing
Sensor Networks and Embedded Systems
Energy-efficient IoT Communication Protocols
Smart Agriculture and Environmental Monitoring
IoT-based Supply Chain Management
User-Centered Design and User Experience (UX)
Personalization and Context-aware Systems
Recommender Systems and Collaborative Filtering
Social Computing and Online Communities
Mobile and Pervasive Information Systems
Accessibility and Assistive Technologies
Gamification and Serious Games
Usability Testing and User Interaction Studies
Web Search and Information Retrieval
Semantic Web and Linked Data
Knowledge Graphs and Ontologies
Information Filtering and Recommendation
Meta-search and Federated Search
Cross-lingual Information Retrieval
Multimedia Information Retrieval
User Profiling and Personalized Search
Quantum Computing and Information Systems
Edge Computing and Fog Computing
Augmented Reality and Virtual Reality Applications
AI in Autonomous Systems and Robotics
Swarm Intelligence and Collective Decision Making
Green IT and Sustainable Information Systems
Cyber-Physical Systems and Industry 4.0
Ethical AI and Responsible AI Practices
Database Systems and Query Optimization
Software Engineering for Information Systems
Web Application Development and Frameworks
Cloud-based Information Systems
Distributed Systems and Middleware
Software Testing and Verification
Performance Evaluation and Optimization
Agile Development and DevOps
AI in Bioinformatics and Genomics
AI in Drug Discovery
AI in Clinical Trials
AI in Medical Imaging and Sensing
AI in Healthcare Operations
AI in Supply Chain Management
Statistical Sciences Track
High Dimensional Data & Analytics
Probability Theory
Survival Analysis
Statistical inference
Quality Control
Robust Statistics
Extreme Value Theory
Bayesian Statistics
Time Series
Spatial Statistics
Multivariate Data Analysis
Design of experiments
Response Surface methodology
Stochastic Processes
Statistical applications in other areas.
