ENVIRONMENTAL MODELLING USING DATA SCIENCE APPROACHES

This special session is organised and supported by the Universiti Teknologi MARA, MALAYSIA

Session Chairs:

  • Associate Prof. Dr Ahmad Zia Ul-Saufie Mohamad Japeri, Universiti Teknologi MARA, Malaysia 

eMail:Ahmadzia101@uitm.edu.my

Session Co-Chairs:

  • Dr Badr Abdullah, UK

  • Dr Wesam Al-Madhoun, Palestin

Session Committee:

  • Dr Nor Aida Zubir, Malaysia

  • Dr Norshahida Shaadan, Malaysia

  • Dr Hasfazilah Ahmat, Malaysia

Synopsis:

The environmental modelling using data science approaches will address the current challenges facing the environmental modelling, included statistical modelling, machine learning and deep learning. Besides that, this session is focusing also improving our capacity to describe, diagnostic, predictive and prescriptive the behaviour of environmental and to communicate those improvements to a wide scientific researcher and professional audience.

Topics:

This special session invites authors to submit high-quality research papers on the topics which include (but are not limited to) the following:

  • Air Pollution monitoring and modelling
  • Data Management and Statistics for Environmental Data
  • Environmental Remote Sensing Applications
  • GIS for Environmental Assessment
  • Air Quality Assessment
  • Ecosystems Assessment
  • Water Resources and Quality Assessment
  • Water Pollution and Water Quality Control
  • Sustainability Education
  • Energy Efficiency

Paper Submission:

Prospective authors are invited to submit full-length papers (not exceeding 6 pages) conform to the IEEE format . All papers will be handled and processed electronically via the EDAS online submission system.