IIMV
Virtual Symposium
Virtual Symposium

About the Symposium
The National Symposium seeks to invite papers from Faculty, research scholars, independent researchers, students, and other interested professionals in the following areas where application of Machine Learning and Data Science shows remarkable results:

  • Health Care: The data analytics, AI and optimization-based solutions bringing efficiency and effectiveness with high-quality and quick- response service-delivery system.
  • Computational Public Policy: Application of computer science and mathematics to solving problems in public policy related to decision making, analysis, modelling, optimization, forecasting, and simulation.
  • Natural Resource Management: A cross-disciplinary data analytics, AI and optimization-based solutions to address the grand challenges of water, food, and energy security for increasing population as a grand challenge.
Select papers from the symposium will be published after peer review in proceedings.