It is with great excitement that we announce the upcoming International Conference on Emerging Trends and Applications in Artificial Intelligence (ICETAI). The conference is organized by the Istanbul Medipol University, Turkey, on September 08-09, 2023. This event will bring together leading experts, researchers, scholars, and professionals from around the world to share their latest findings and explore the newest advances in the field of artificial intelligence. As technology continues to shape our lives, the role of artificial intelligence has become increasingly significant. This conference provides a unique opportunity to gain insights into the latest developments and applications of artificial intelligence in the digital age. From cutting-edge research to real-world applications, the conference will provide a comprehensive overview of the field and its impact on society. We invite all interested in the future of artificial intelligence and its applications to join us for this exciting event.

This conference also welcomes the submission of original, high-quality research papers. We invite authors to submit their work in areas related to artificial intelligence and its applications, including, but not limited to, machine learning, deep learning, computer vision, natural language processing, robotics, and more. All submissions will be reviewed by a panel of experts in the field, and accepted papers will be presented at the conference and published in the conference proceedings. This is an excellent opportunity for researchers, scholars, and professionals to showcase their work and contribute to the advancement of the field. Submissions should be made through the conference website, and authors should consult the submission guidelines for further information.

Each paper will be peer-reviewed by at least two reviewers and evaluated based on originality, technical depth, correctness, relevance to conference, contributions, and readability. The papers will be accepted based on technical merit, interest, applicability, and how well they fit a coherent and balanced technical program.

The conference will be carried in hybrid mode. Both In-Person and online presentations will be allowed.

Kind Regards,

General Chair(s)
Prof. Dr. Gökhan Silahtaroğlu,
Istanbul Medipol University
Prof. Dr. Samee U. Khan,
Mississippi State University, USA

Conference Topics

The conference topics include but not limited to the following:

1. Artificial Intelligence and Machine Learning

  • Statistic Learning & Pattern Recognition
  • Deep Learning & Neural Network Robotics
  • Remote Sensing and Applications
  • Medical Image Processing
  • Image and Video Retrieval
  • Speech, Audio and Music Processing
  • Computer Vision Applications
  • Natural language processing (NLP)
  • Image Processing & Computer Vision
  • Deep and Reinforcement learning
  • Distributed and decentralized machine learning algorithms
  • Distributed Intelligent Processing
  • Intelligence Language & Speech
  • Intelligent wireless communications

2. Big Data and Cloud Computing

  • Models and algorithms of Big Data
  • Architecture of Big Data
  • Big Data Management
  • Big Data Analysis and Processing
  • Security and Privacy of Big Data
  • Big Data in Smart Cities
  • Search, Mining and Visualization of Big Data
  • Technologies, Services and Application of Big Data
  • Edge Computing
  • Architectures and systems of Cloud Computing
  • Models, Simulations, Designs, and Paradigms of Cloud Computing
  • Management and operations of Cloud Computing

3. Internet of Things and Blockchain

  • Architecture for secure IOT
  • Blockchain for security IoT
  • Intelligent Systems for IOT
  • Blockchain for Identity Management
  • Enterprise Blockchain Adoption
  • Data Compression in IoT Devices
  • Networking and Social Networks
  • IoT Services and Applications
  • Internet of things information security
  • Blockchain and Crypto Market Trends
  • Social Networks Analysis
  • Cloud computing in the IOT
  • Internet of things technology standard
  • Legal issues for Blockchain

4. Data Analysis and Visualization

  • Statistical Methods for Data Analysis
  • Machine Learning for Data Analysis
  • Predictive Modeling for Data Visualization
  • Business Intelligence
  • Big Data Analysis
  • ML for Data Analysis
  • Interactive and Exploratory Data Analysis
  • Statistical Inference in Data Analysis
  • Unsupervised Learning for Data Analysis
  • Data Visualization
  • Data Mining and Analysis
  • Social Media Analytics
  • Network Analysis for Data Visualization
  • Exploratory Data Analysis