International Conference on Principles & Practices of Artificial Intelligence, Soft Computing & Data Management
(IC-PPAISCDM-2023)
September 09, 2023 – September 10, 2023
Organized By :
Noble Science Press, India in association with Global Research Foundation, Delhi
The conference aims to foster discussion and collaboration among researchers, academicians, and industry professionals in the fields of Artificial Intelligence, Data Management, Soft Computing, and their interdisciplinary applications in commerce, management, science, and technology.
Publication Opportunities: Scopus/WoS/Proceedings (Updated Soon)
About the Conference
Innovative sustainable computational technologies and practices is an interdisciplinary field that aims to apply innovative techniques from fields such as computer science, information science, operations research, applied mathematics, software reliability, reliability modelling, and statistics in order to strike a balance between the needs of society, the economy, and the environment in order to achieve sustainable development. The development of sustainable computational and mathematical models as well as methods for decision making concerning the management and allocation of resources is the primary focus of this research. This research is being done in order to solve some of the most difficult issues that are associated with sustainability in society.
| Conference Date: | September 09, 2023 – September 10, 2023 |
| Last date of Abstract Submission: | 05th August 2023 |
| Full Paper Submission: | 25 August 2023 |
| Registration Deadline: | 8 September2023 |
Email : noblesciencepress@gmail.com
Scope of the Conference
The scope of IC-PPAISCDM-2023 (International conference on innovative sustainable computational technologies & practices) is to strike a balance between environmental, economic, and social needs for sustainable development using cutting-edge methods from computer science, information science, operations research, applied mathematics, software reliability, reliability modelling, and statistics. Sustainable computational and mathematical models and methods for decision making in resource management and allocation are the focus, with the goal of resolving some of the most difficult issues related to sustainability in modern society. Researchers from many different fields, including computer science, applied mathematics, statistics, biology, environmental science, environmental engineering, and economics, will be gathering at IC-PPAISCDM-2023 to share their findings and discuss future applications of their work.
Venue
Online Platform Through Google Meet
Commerce, Management, and Economics
• Financial Analytics and Data-Driven Decision-Making
• Artificial Intelligence in Business and Management
• Banking, Accounting, and Financial Technologies (FinTech)
• Marketing Analytics, Consumer Insights, and Predictive Modelling
• Human Resource Management and People Analytics
• Entrepreneurship, Startups, and Innovation Ecosystems
• Business Intelligence and Strategic Management
• International Business, Trade, and Global Economic Trends
• Supply Chain, Logistics, and Operations Analytics
Computer Science, Artificial Intelligence, and Data Management
• Artificial Intelligence and Machine Learning Applications
• Deep Learning and Natural Language Processing
• Soft Computing, Fuzzy Logic, and Neural Networks
• Big Data Analytics and Data Mining
• Data Management, Warehousing, and Information Retrieval
• Cloud Computing and Edge Computing
• Internet of Things (IoT) and Smart Systems
• Cybersecurity, Cryptography, and Blockchain Applications
• Software Engineering and Intelligent Systems Design
Engineering and Technological Advancements
• Robotics, Automation, and Mechatronic Systems
• Control Systems and Intelligent Manufacturing
• Computational Fluid Dynamics and Simulation
• Embedded Systems and Digital Electronics
• Signal Processing, Image Processing, and Computer Vision
• Renewable Energy, Smart Grids, and Sustainable Engineering
• Material Science, Nanotechnology, and Industrial Automation
• Biomedical Engineering and Healthcare Technology
• Industrial Design, Quality Control, and Reliability Engineering
Applied Sciences and Mathematics
• Computational and Applied Mathematics
• Operations Research and Optimization Techniques
• Mathematical Modeling and Simulation
• Statistical and Probabilistic Data Analysis
• Numerical Methods and Scientific Computing
• Mathematical Foundations of Artificial Intelligence
• Applied Physics and Chemistry in Engineering
• Quantitative Methods in Research and Decision Sciences
• Bioinformatics, Biostatistics, and Computational Biology
Law, Ethics, and Social Sciences
• Legal and Ethical Implications of Artificial Intelligence
• Cyber Law, Data Privacy, and Information Security
• Intellectual Property Rights (IPR) in Digital Innovation
• Governance, Policy, and Regulation in AI and Data Systems
• Digital Inclusion, Equity, and Ethical AI Practices
• Employment Law, Labor Rights, and Workforce Automation
• Social Impact of Artificial Intelligence and Emerging Technologies
• Human Rights and Technology-Driven Societies
Interdisciplinary and Emerging Research Areas
• Sustainable Development through AI and Data Analytics
• AI in Education, Healthcare, and Agriculture
• Smart Cities and Intelligent Transportation Systems
• Green Computing and Environment-Friendly Technologies
• Data-Driven Public Policy and Governance
• Digital Transformation and Industry 5.0
• Hybrid Models Combining AI, IoT, and Blockchain
• Innovations in Research Methodology and Applied Research Practices