AICTE Logo AICTE Training and Learning Academy (ATAL) Techno India Group Techno International New Town
AICTE ATAL Faculty Development Programme

Artificial Intelligence for Disaster Management and Resilient Infrastructure

Six days of conceptual learning, practical exposure, interdisciplinary discussion and hands-on work in AI, ML, GIS, remote sensing and disaster management.

πŸ“… 16–21 November 2026πŸ“ Offline β€’ Techno International New Town🎯 Sub-Thrust: AI & Applications
View Full Schedule ↓

About the FDP

Programme overview based on the official brochure.

Why this programme?

This FDP explores AI applications in disaster management, emphasizing prediction, risk assessment, early warning systems, resilient infrastructure, preparedness, mitigation, response, recovery, and effective decision-making through practical and interdisciplinary learning.

How to Apply

Visit the AICTE ATAL Academy Portal

Search using:

Month: November
Application No.: 1774976890

Expected Outcomes

Participants will be able to:

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Understand AI

Understand AI applications in disaster management and infrastructure planning.

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Apply ML

Apply machine learning models for disaster prediction and decision support.

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Assess Resilience

Analyze infrastructure vulnerability and resilience strategies.

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Work with Data

Utilize real-world datasets and tools for problem-solving and research.

FDP Content Coverage

Key themes covered across the six-day programme.

βœ“ Disaster Management Fundamentals
βœ“ Risk Analytics and Spatial Modelling
βœ“ AI & Machine Learning Techniques
βœ“ Deep Learning for Disaster Prediction
βœ“ GIS and Remote Sensing Applications
βœ“ Infrastructure Resilience and Sustainability
βœ“ Industry Use Cases and Case Studies
βœ“ Hands-on Sessions with Python, ML Libraries and GIS Tools

Session-wise Schedule

16–21 November 2026 β€’ Select a day to view the detailed programme.

Day 1: Disaster & Infrastructure Fundamentals

09:00–09:30
Inauguration
FDP Inauguration & Programme Overview; Coordinator Addressinauguration
09:30–12:00
Session 1
Fundamentals of Disaster Management and its TypesDr. Nairwita Bandyopadhyay β€” Haringhata College, University of Kalyani
12:00–13:00
Article Discussion 1
Urban flood risk assessment based on DBSCAN and K-means clustering algorithmGeomatics, Natural Hazards and Risk (2023)
13:00–14:00
Lunch
14:00–16:30
Session 2
Environmental flows: issues and gapsβ€”a critical analysisDr. Chandrashekhar Bhuiyan β€” Sikkim Manipal Institute of Technology
16:30–17:30
Hands-on / Lab 1
Introduction to Disaster Data Sources & VisualizationPractical Session

Day 2: Risk Analytics & Spatial Modelling

09:30–12:00
Session 3
Strategic Management for Disaster ResilienceDr. Saibal Saha β€” Xavier Business School, St. Xavier’s University, Kolkata
12:00–13:00
Article Discussion 2
Flood hazard mapping using GIS-based statistical model in vulnerable riparian regions of sub-tropical environmentGeocarto International (2023)
13:00–14:00
Lunch
14:00–16:30
Session 4
Remote Sensing Spatial Data Analysis for Disaster PredictionDr. Uday Chatterjee β€” Bhatter College, Dantan
16:30–17:30
Hands-on / Lab 2
Processing with Satellite ImagesPractical Session

Day 3: AI/ML Fundamentals & Applications

09:30–12:00
Session 5
Basics of AI, ML, Deep LearningDr. Tapas Samanta β€” Variable Energy Cyclotron Centre, Kolkata
12:00–13:00
Article Discussion 3
Explainable artificial intelligence in disaster risk management: Achievements and prospective futuresInternational Journal of Disaster Risk Reduction (2023)
13:00–14:00
Lunch
14:00–16:30
Session 6
RS and GISDr. Ratika Pradhan β€” Sikkim University (Central University)
16:30–17:30
Hands-on / Lab 3
GIS Tools (QGIS/ArcGIS) for Hazard MappingPractical Session

Day 4: Advanced AI & Industry Perspectives

09:30–12:00
Session 7
Industry Applications of AI in Disaster Management & Smart InfrastructureDr. Sayan Kahali β€” Industry Expert, Senior AI Research Scientist, AIG
12:00–13:00
Article Discussion 4
Integrating deep learning, satellite image processing, and spatial-temporal analysis for urban flood predictionJournal of Hydrology (2024)
13:00–14:00
Lunch
14:00–16:30
Session 8
Computer Vision in Disaster ManagementVineet Kumar Rakesh β€” Variable Energy Cyclotron Centre, Kolkata
16:30–17:30
Hands-on / Lab 4
Implementing ML Models using PythonPractical Session

Day 5: Industrial Exposure & Practical ML

09:30–12:00
Industrial Visit
Computer Division, Variable Energy Cyclotron Centre, Department of Atomic Energy, Government of IndiaIndustrial Exposure
12:00–13:00
Article Summary
Presentation of Article Reviews by ParticipantsParticipant Activity
13:00–14:00
Lunch
14:00–16:30
Session 9
Disaster Management and GenAIMr. Souvik Das β€” Associate Partner, Client Solutioning Innovation Centre, IBM
16:30–17:30
Hands-on / Lab 5
AI in Disaster ManagementPractical Session

Day 6: Deep Learning, Evaluation & Closure

09:30–12:00
Session 10
Deep Learning Models for Resilient InfrastructureDr. Debanjan Konar β€” Senior Chief Engineer & Head of Quantum AI, Samsung R&D Institute India, Bangalore
12:00–13:00
Article Summary
Presentation of Article Reviews by ParticipantsParticipant Activity
13:00–14:00
Lunch
14:00–16:30
Assessment
MCQ & Reflection Journal; Assessment & FeedbackFDP Team
16:30–17:30
Valedictory
Valedictory Session; Certificate Distribution & Closing RemarksFDP Team

Contact

For programme-related communication.

CoordinatorDr. Chinmoy Kar
Dept. of AIML, Techno International New Town
βœ‰ [email protected]
☎ 9874365360
Co-CoordinatorDr. Bikash Sadhukhan
Dept. of Computer Science & Engineering
βœ‰ [email protected]
☎ 9433635474
Venue / AddressDepartment of CSE, Techno International New Town, Plot DG 1/1, Action Area 1, New Town, Kolkata – 700156, West Bengal, India.