Futuristic Applications in Computer Vision, Machine Learning, and Spatial Data Analysis

This special session will be organized by Artificial Intelligence Research Group, Department of Computer Science, College of Computer Science & Engineering, Taibah University, Madinah, Saudi Arabia


In this smart planet Computer Vision, Machine Learning, and Data Analysis are the buzzwords whirling around all walks of life. Nowadays, Computer Vision, Machine learning, and Data Analysis techniques and applications have become one of the sprightliest attentions of current technology developments. Intelligence is no longer exclusively human. Machines can now perform independently without the governance of people. The increasing adoption of Computer vision and Machine learning algorithms has influenced our daily lives. Meanwhile, spatial applications have witnessed an unprecedented explosion in the amounts of generated and collected data. The applications of big spatial data span a wide spectrum of interests including tracking infectious diseases, climate change, air pollution detection, disaster emergency prediction, social media, urban traffic, location prediction, and IoT, among others. The progressions of Computer Vision, Machine learning algorithms, and the availability of high-resolution spatial data are empowering the Futuristic application in Artificial Intelligence and Data Science. 

This special session aims to bring together academic researchers, scholars, engineers, industrialists, and other professionals working towards scientific problems to meet and discuss the latest solutions, scientific results, and methods in solving intriguing problems in the fields of Computer vision, Machine Learning, and Spatial Data Analysis. It is expected that the exchanged ideas on recent research and future directions open the way for collaborative investigations towards discoveries and extensive enhancement of the cutting-edge technologies.

Topics of interest include, but are not limited to:

    • Image/Video Analysis, Feature Extraction and Classification
    • Anomaly detection
    • Motion Detection and Tracking
    • Reconstruction and Representation
    • Pattern Recognition in Computer Vision
    • Facial and Hand Gesture Recognition
    • Matching, Inference and Recognition
    • Text and Multimedia Analysis
    • Bioinformatics and Computational Biology
    • Machine Learning models and applications
    • Information Retrieval
    • Web Navigation and Mining
    • Learning through Mobile Data Mining
    • Recommendation and Location-Based Services
    • Applied Spatial Analysis (e.g., Health Geographics, Urban Analytics, Precision Agriculture, etc.)
    • Remote Sensing Image Captioning
    • Geospatial Semantics in Natural Language
    • Geographic Information Retrieval
    • Analysis of (Multi-Spectral) Image Time-Series
    • Spatial analysis and Geo-computation based on machine learning techniques
    • Spatial prediction using machine learning techniques
    • Geospatial big data processing of geoinformation using machine learning techniques
    • The application of machine learning techniques to geosciences, environments, natural hazards, and natural resources.

Session Chairs

  • Liyakathunisa Syed, Taibah University, Madinah, Saudi Arabia
  • Nahla Abid, Taibah University, Madinah, Saudi Arabia
  • Ghada Alharbi, Taibah University, Madinah, Saudi Arabia

Session Committee

  • HaninAl-Alahmadi, Taibah University, Madinah, Saudi Arabia
  • EmanAljohani, Taibah University, Madinah, Saudi Arabia
  • IbtehalNafea, Taibah University, Madinah, Saudi Arabia
  • MouniraKezadri, Taibah University, Madinah, Saudi Arabia
  • Mohammad Zubair Khan, Taibah University, Madinah, Saudi Arabia

Important Dates

Full Paper submission open:

20th November 2020

Full Paper submission deadline:

Extended: 20th February 2021

Acceptance notification:

1st March 2021

Camera-ready submission:

10th March 2021

Registration deadline

20th March 2021

Conference dates

6-7th April 2021

Full papers are required to submit via the Easychair Link: