International Conference on Data Analytics and Insights (ICDAI-2023) on May 11-13, 2023

Call For Papers

ICDAI invites Industry Professionals/ Academicians/ Researchers for submitting their original, previously unpublished and high quality research papers. The conference will be focused on addressing research challenges in the field of "Wireless and Sensor Communication Systems", "Big Data Analytics and Insights", "Biological and Biomedical Data Analysis and Insights", "Optimization Techniques", "Time Series Analysis and Forecasting", "Power and Energy Systems Data Analytics and Insights", "Civil and Environmental Data Analytics and Insights", and "Industry and Applications", but not limited to the following:

Wireless and Mobile Communication
Sensor and Ad-hoc Networks
Vehicular Networks
Network Virtualization
Software-Defined Networking
5G and beyond Networks
Energy Efficiency in Networks
Optical Networks
Wearable Computing and Body Area Networks
Internet of Things (IoT)
Cloud/Fog/Edge Computing
Cyber-Physical Systems
Connected Unmanned Aerial/Terrestrial/Underwater Systems
Green Communications
Social Computing and Networks
Human-Computer Interactions
Localization and Location-based Services
Mobile Sensing and Applications
Collaborative Sensor Data Management
Pervasive Computing
Smart Grid Applications
Multimedia Data Applications
Visual Sensor Information Processing
Distributed Systems
Network Security and Privacy
Information Security and Privacy

Big Data Storage, Query Languages and Optimization
Big Data Analytics, Indexing and User Interfaces
Big Data Analytics: algorithms, techniques, and systems
Big Data Quality and Provenance Control
Big Data Searching and Discovery
Big Data Management in Mobile Applications
Big Data Application, design and deployment
Integration of data warehousing, OLAP and data mining
Integrating constraints and knowledge in the KDD process
Exploring data analysis, inference of causes, prediction
Evaluating, consolidating, and explaining discovered knowledge
Data mining techniques: clustering, classification, association rules, decision trees
Knowledge discovery framework and process, including pre- and post-processing
Data Mining Trends, Opportunities and Risks
Data Mining from low-quality information sources

Bio-statistical and Medical Statistical Methods
Bionic Equipment and Control Engineering
Bioinformatics and Neuroscience
Biomedical Engineering
Medical Robotics 
Medical Imaging
Medical Science and Life Science
Microscopy and Histology Image Analysis
Molecular Biology
Surgical Visualization and Augmented Reality
Visualization in Biomedical Imaging 
Real-time health monitoring
Health care management
Telemedicine
Computational Biology

Applied Mathematics and Decision Sciences
Business Analytics and Decision Sciences
Business Financing and Investments
Computational Decision Science
Computing, Informatics, and Decision Systems Engineering
Operations Research
Computational Modeling and analysis
Statistical Techniques for Data analysis
Soft Computing
Evolutionary Computing
Predictive Analysis
Nature Inspired Computing
Supply chain management
Control Theory

Machine Learning Model for Diagnostic Disease Prediction
Machine Learning Model for Stock Market Prediction
Wireless signal strength prediction
Digital fault prediction for real-time systems
Error rate prediction for real time streaming systems
Weather prediction model
5G wireless channel prediction model
Cognitive radio spectrum evolution prediction
Reject ratio prediction for VLSI circuits
Neural Network Control Systems

Data analytics for renewable energy integration
Data analytics for renewable energy sources
Smart grid applications of data analytics
Data analytics for power generation, transmission, and distribution
SCADA/DCS data analytics
Fault detection, classification, location, and diagnosis
Power quality detection
Power system state estimation
Load forecasting, wind power forecasting, and PV power forecasting
Smart grid cyber security
Customer profiling and smart billing
Parallel and distributed data analytics for renewable energy integration
Big data and cloud-based analytics for renewable energy integration
Big data management, transformation, and presentation
Visual analytics processes and workflows
Simulation for visual analytics
Computational business modeling
Computational Mechanics and Fluid Dynamics 
Machinability of Materials 

Planning optimum water systems by Big Data analysis
Change in ecosystem through remote sensing and GIS
Study of climate change impacts 
Predictive analytics for architectural space planning 
Seismic monitoring using real time data and its control 
Structural Health monitoring and life cycle analysis
Data driven design in structural analysis
Smart facilities and infrastructural system
Air quality management
Structural reliability 
Scientific examination and critic reviews on climate change

Data Analytics and Knowledge Discovery Tools
Big Data Deployment Industrial Experiences
Data Analytics in scientific, government, healthcare, bioinformatics Applications
Data Analytics in E-commerce, Web, intrusion/fraud detection, finance, healthcare, marketing, telecommunications Applications 
Big Data and Business Process Intelligence
Big Data in Enterprise Management Models and Practices
Big Data Applications in Smart City
Data Analytics and IoT in Smart City Applications
Industrial Automation
State Estimation of Industrial System
Electric Vehicle 
Autonomous Vehicle
Energy Management of Smart Grid
Energy Management of EV Charging stations

Submit your manuscript here: https://cmt3.research.microsoft.com/ICDAI2023

icdai 2023 book cover

All accepted papers have been published in the Springer Nature Book Series (SCOPUS indexed).

Proceedings of International Conference on Data Analytics and Insights, ICDAI 2023

 

 

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