IIT Gandhinagar Course on Air Pollution 2026: Opportunities to Learn AI, ML and Geospatial Technologies for Air-Quality Mapping
Gujarat: Air pollution research is increasingly focusing beyond traditional monitoring methods. Artificial Intelligence (AI), Machine Learning (ML) and geospatial technologies can offer innovative ways to monitor pollution mapping, source identification and forecast air quality changes. In this context, the Dr Kiran C Patel Centre for Sustainable Development (KPCSD), IIT Gandhinagar, is conducting a one-day course titled “Air Pollution & Emerging Technologies” on October 10, 2026.
The course information indicates that the organisers are targeting students, researchers, professionals and faculty members interested in identifying how emerging technologies can contribute to air pollution monitoring and decision-making. Participants will be able to explore applications related to air pollution mapping, monitoring, forecasting, source identification and informed decision-making.
IIT Gandhinagar's KPCSD is active in a range of sustainability areas, such as pollution and waste management, climate change, energy, water and natural resources. The Centre also held programmes exploring AI, machine learning and modelling in environmental management.
IIT Gandhinagar Course on Air Pollution 2026: Programme Highlights
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Particulars |
Details |
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Course |
Air Pollution & Emerging Technologies |
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Organiser |
Dr Kiran C Patel Centre for Sustainable Development, IIT Gandhinagar |
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Date |
Saturday, October 10, 2026 |
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Time |
9:30 AM to 6:00 PM |
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Venue |
Academic Block 1/201, IIT Gandhinagar |
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Registration Deadline |
October 4, 2026 |
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Target Participants |
Students, researchers, professionals and faculty |
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Format |
One-day, non-residential course |
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Accommodation |
Not provided |
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Seats |
Limited |
What Will Participants Learn?
The course is relevant as air-quality management increasingly uses combinations of environmental science with computational and spatial technologies.
1. Artificial Intelligence and Machine Learning
AI/ML can be leveraged to process a larger number of environmental data sets and identify patterns that may not be easily discernible through traditional analysis. Research has explored AI/ML models for predicting pollutants such as PM2.5 and supporting air-quality management.-
For students and researchers, this is an opportunity to learn how data-driven approaches can be applied in conjunction with atmospheric and environmental science.
2. Geospatial Technologies
Pollution is not contained to a specific point as its concentration can vary across neighbour, industrial and urban areas depending on emission and geographical factors. Geospatial technologies can help researchers visualise pollution patterns and connect air-quality readings with locations and potential emission sources.
3. Air Pollution Forecasting and Source Identification
Another key area is air pollution forecasting and source identification. These applications offer ways for monitoring data to be converted into decision-support information useful in environmental planning and decision-making.
IIT Gandhinagar's KPCSD has in the past highlighted research relating to air quality, atmospheric pollutants and modelling. The Clean Air Forum also included discussions of AI-driven decision-support systems for air-quality management.
Who Should Consider the Course?
The programme is intended to be a fit for a wide audience rather than specific academic specialisation. It is relevant to:
- Undergraduate and postgraduate students
- Research scholars
- Environmental science and engineering students
- Data science, AI/ML learners interested in environment applications
- Faculty members
- Environmental professionals
- Researchers with interest in air quality and sustainability
- Professionals with interests in geospatial and environmental technologies
The interdisciplinary nature of the programme is one of its notable characteristics. Participants do not have to look at air pollution in only an environmental perspective; the subject is increasingly converging with data science, artificial intelligence, remote sensing, geospatial analysis and public decision-making.
Why Emerging Technology Matters for Air Pollution
Traditional monitoring remains important, but modern air-quality management increasingly incorporates computational and spatial technologies. Recent research in India has explored applications of AI and ML in air-quality forecasting, including predicting PM2.5 concentrations and understanding pollution patterns.
That makes courses linking pollution science with emerging technologies relevant for students wishing to work at the nexus of environment, technology, and sustainability. For inclusive learning, the course's interdisciplinary nature can also allow students from different academic fields to understand the same environmental challenge through varying tools and perspectives.
Registration Deadline and Venue
Those interested should complete registration by October 4, 2026. The course will be conducted on October 10, 2026, from 9:30 AM to 6:00 PM at Academic Block 1/201, IIT Gandhinagar. The programme is explicitly described as a non-residential day course; participants will need to make their own accommodation arrangements if needed. Seats are limited, so prospective participants should check the registration details before the deadline.
IIT Gandhinagar Course on Air Pollution 2026: What Makes It Relevant?
The interesting part of this programme is that it combines environmental science with AI, ML and geospatial technologies. For students, this is an opportunity to gain exposure to an emerging interdisciplinary field. For researchers and professionals, it is a way to identify ways data and technology can contribute to pollution mapping, forecasting and source analysis.
As challenges involving air quality increasingly become data-intensive, understanding how technological tools fit into environmental research is useful for the next generation of students, researchers and practitioners.
FAQs
What is the IIT Gandhinagar Air Pollution & Emerging Technologies course 2026?
It is a one-day course organised by the Dr Kiran C Patel Centre for Sustainable Development at IIT Gandhinagar focusing on air pollution and applications of AI, Machine Learning and geospatial technologies.
When will the IIT Gandhinagar air pollution course be held?
The course will be held on October 10, 2026, from 9:30 AM to 6:00 PM.
What is the last date to register for the course?
The registration deadline is October 4, 2026.
Who can attend the IIT Gandhinagar air pollution course?
The programme is intended for students, researchers, professionals and faculty members interested in air pollution and emerging technologies.
Where will the course be conducted?
The course will be conducted at Academic Block 1/201, IIT Gandhinagar.
Will accommodation be provided?
No. The course is non-residential, and accommodation will not be provided.
What technologies will be discussed?
The course information highlights Artificial Intelligence, Machine Learning and Geospatial Technologies, particularly for pollution mapping, monitoring, forecasting, source identification and decision-making.
Is this course useful for AI and data science students?
It can be relevant for AI, ML and data science students interested in applying computational methods to environmental and air-quality problems.
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