Registration summary
ConferenceICIADSEM
ModeVirtual
ParticipationListener
Registration fee$135.00
Bank charges (5.8%)$7.83
Total payable$142.83
Includes all bank processing charges — the amount above is exactly what will be charged.
Benefits of Registering as Listener
Access to Conference Sessions
Networking Opportunities
Certificate of Participation
Invitation Letter Support
Conference Kit / Materials
Access to Keynote Sessions
• Conference Session Tracks •
SDG-Aligned Research Themes
ICIADSEM conference tracks support global knowledge exchange, innovation, and sustainable development priorities across diverse disciplines.
01 AI Techniques in Environmental Data Analysis +
This track focuses on the application of artificial intelligence methodologies in the analysis of environmental data. Researchers are invited to present innovative AI techniques that enhance the understanding of ecological systems.
02 Machine Learning for Climate Change Mitigation +
This session aims to explore the role of machine learning in developing strategies for climate change mitigation. Papers should address novel algorithms and their applications in predicting climate-related phenomena.
03 Remote Sensing Innovations for Environmental Monitoring +
This track highlights advancements in remote sensing technologies and their applications in environmental monitoring. Contributions should discuss new methodologies for satellite image processing and data interpretation.
04 Ecological Modeling and Simulation +
This session invites research on ecological modeling techniques that utilize data science for simulating environmental processes. Participants are encouraged to share models that address biodiversity and ecosystem dynamics.
05 Pollution Detection and Analysis +
This track focuses on the development of AI-driven methods for pollution detection and analysis. Submissions should present case studies or novel approaches that utilize big data analytics for environmental health assessment.
06 Biodiversity Monitoring through Data Science +
This session explores the application of data science in monitoring and preserving biodiversity. Papers should highlight innovative approaches to data collection and analysis that inform conservation strategies.
07 Natural Disaster Prediction and Management +
This track addresses the use of machine learning and AI in predicting and managing natural disasters. Contributions should focus on predictive models and their effectiveness in disaster response and recovery.
08 Weather Forecasting with AI and Big Data +
This session invites research on the integration of AI and big data analytics in improving weather forecasting accuracy. Participants are encouraged to present novel algorithms and their practical applications in meteorology.
09 Geospatial AI for Environmental Insights +
This track examines the intersection of geospatial analysis and AI in deriving insights from environmental data. Contributions should explore innovative applications of geospatial technologies in environmental research.
10 Smart Agriculture and Sustainable Practices +
This session focuses on the role of AI and data science in promoting smart agriculture and sustainable farming practices. Papers should discuss technological innovations that enhance agricultural productivity while minimizing environmental impact.
11 Environmental Big Data: Challenges and Solutions +
This track addresses the challenges associated with managing and analyzing environmental big data. Researchers are invited to propose solutions that leverage AI and data science to overcome these challenges.
