Conference Topics

The topics of the conference are divided into the following main themes. Papers include but are not limited to the following topics are invited for submission.

Applied Engineering and Sciences


  • Mechanical Engineering
  •  Computer, Electronic and Communication Engineering
  • Architectural Engineering
  • Chemistry Science and Chemical Engineering
  • Energy and Petroleum Engineering
  • Management and Industrial Engineering
  • Geology, Environmental and Water Resources Engineering
  • Survey Engineering
  • Aeronautical Engineering
  • Biology & Biotechnology Science
  • Applied statistics and Mathematics Science.
  • Applied Physics, Astronomy and Space
  • Applied Agricultural Science

Machine Learning and Computer Vision


  • Deep Learning and Applications
  • Data Mining and Knowledge Discovery
  • Decision Support Systems
  • Classification and Clustering
  • Dimensionality Reduction
  • Text Analytics
  • Time Series Data Analysis
  • Low-level vision and Image Processing
  • Big data and Large Scale Methods
  • Biometrics, face and gesture
  • Physics and Mathematical Models in CS
  • Optimization methods

Big Data and Cloud Computing


  • Advancements in Cloud Computing Architectures for Big Data Analytics
  • Enhancing Data Security and Privacy in Big Data Cloud Environments
  • Machine Learning and AI Integration in Cloud-Based Big Data Solutions
  • Scalable Storage Solutions for Big Data in Cloud Computing
  • Cloud Computing and Big Data in Predictive Analytics
  • Real-Time Big Data Processing in Cloud Environments
  • Edge Computing and its Role in Big Data and Cloud Services
  • Big Data Cloud Computing for IoT Data Management and Analysis
  • Challenges and Solutions in Big Data Migration to the Cloud
  • Impact of Cloud Computing on Big Data in Healthcare Industry
  • Cloud-Based Big Data Solutions for E-commerce Optimization
  • Legal and Regulatory Aspects of Big Data in the Cloud
  • Future Trends in Big Data and Cloud Computing Technologies

Blockchain, and the Internet of Things (IoT)


  • Advancements in Blockchain Technology for IoT Security
  • Integrating Blockchain with IoT for Supply Chain Transparency
  • Impact of IoT and Blockchain on Smart Cities Development
  • IoT Device Management and Security using Blockchain.
  • Blockchain Solutions for IoT Data Privacy and Integrity
  • Use Cases of Blockchain and IoT in Healthcare
  • Energy Efficiency in IoT through Blockchain Innovations
  • Decentralized Applications (DApps) for IoT Ecosystems
  • Blockchain and IoT in Agricultural Technology and Food Safety
  • Blockchain, IoT, and the Future of Smart Home Technologies
  • IoT and Blockchain in the Automotive Industry
  • Regulatory and Ethical Considerations in Blockchain and IoT Integration

Applied Artificial Intelligence Applications


  • Artificial Intelligence (AI) and Applications
  •  Computer Aided Diagnosis
  • Biomedical Signal Processing Applications
  • Web Intelligence Applications and Search
  • Soft Computing Theory and Applications
  • Knowledge-based Systems & Pattern Recognition
  • AI for Bioinformatics
  • AI for Internet of Things
  • AI for Grid-computing
  • AI applications in Cloud-computing
  • AI for Medical Image Analysis
  • AI for image generation
  • Adversarial Machine Learning and Countermeasures
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