6th IEEE Bangalore humanitarian Technology conference

March 27-29, 2026 | The Chancery Pavilion, Residency Road, Bengaluru, India

call for papers

Scope and Objective

Artificial Intelligence (AI) is emerging as a transformative tool for addressing sustainability challenges aligned with the United Nations Sustainable Development Goals (SDGs). AI enables sensing, predicting, and optimizing natural and anthropogenic systems/system parameters, and thus, provides a great promise in achieving a sustainable common future.

IEEE B-HTC 2026 invites contributions in AI for Sustainability in the following 6 focus areas:

Clean Air
Clean Water
Clean Energy
Sustainable Mobility
Sustainable Infrastructure
Biodiversity Conservation

We seek original research, applied solutions, and case studies that utilize machine learning, deep learning, reinforcement learning, graph neural networks, generative AI, optimizations, blockchain, federated learning, and data-driven decision-making to solve regional and global sustainability challenges. Efforts that result in Digital Public Good and Open Datasets to advance sustainability are also welcome. We encourage interdisciplinary contributions from academia and industry that explore region-specific sustainability issues; industry-driven solutions; scalable AI applications for local, national, and global sustainability goals.

Important Dates (SUMMER Call)

All deadlines are Anywhere on Earth (AoE, UTC-1200)

Paper Submission Opens: Jun 05, 2025
Paper Submission Deadline: Aug 30, 2025 Oct 05, 2025
Notification of Acceptance: Dec 15, 2025 Nov 08, 2025
Camera-ready Submission: Jan 12, 2026 Nov 30, 2025
Registration Deadline: Jan 12, 2026 Nov 30, 2025

Important Dates (WINTER Call)

All deadlines are Anywhere on Earth (AoE, UTC-1200)

Paper Submission Opens: Nov 08, 2025
Paper Submission Deadline: Dec 28, 2025
Notification of Acceptance: Feb 07, 2026
Camera-ready Submission: Feb 28, 2026
Registration Deadline: Feb 28, 2026

Paper Types

We solicit submission of original, unpublished work in any of the following 3 tracks (where page limit includes all figures, tables, references, etc.):

Research track (6-8 pages) – open to ALL
Industry track (4-6 pages) – open to ONLY INDUSTRY participants
Position paper/Work in Progress track (4 pages) – open to ALL

For submission guidelines, review process, publication policy, author ethics, refer to [Click Here].

AI for Clean Air ( UN SDG 3+7+11+13 )

Air quality monitoring and forecasting for urban, industrial, and rural areas
AI-driven pollution control strategies for energy, transport, and manufacturing sectors
Traffic management and mobility planning to reduce emissions
Wildfire and industrial emission tracking for early warning and mitigation
Indoor air quality assessment and improvement in homes and workplaces
Specific Challenges:
- - Industrial cities: AI-powered emission tracking and pollution reduction
  - Mega cities: AI-enhanced urban mobility and congestion management
  - Developing nations: AI-driven low-cost air quality monitoring solutions

AI for Clean Water ( UN SDG 13+14+15 )

Water quality monitoring and contamination detection in rivers, lakes, and oceans
Efficient and equitable smart water management for cities, agriculture, and industry
Early warning systems for floods, droughts, and water scarcity
Optimization of desalination, purification, and wastewater treatment
Monitoring and mitigation of plastic and chemical pollution in water bodies
Specific Challenges:
- - Coastal regions: AI-powered ocean health and marine pollution tracking
  - Agricultural zones: AI-enabled precision irrigation and sustainable water use
  - Water-scarce regions: AI-supported desalination and water reuse optimization

AI-driven traffic management, congestion reduction and safety enhancement
Optimization of electric vehicle (EV) infrastructure and charging networks
Sustainable public transportation planning and operations
Logistics and freight optimization for reduced environmental impact and improved resilience
Multi-modal transport integration and ride-sharing models
Specific Challenges:

Mega cities: AI-powered real-time public transport scheduling
Freight & logistics: AI-driven route optimization for sustainable supply chains
Developing economies: AI-supported affordable and efficient mobility solutions

AI for Clean Energy ( UN SDG 7+13 )

Renewable energy forecasting, grid integration and pricing strategies
Smart grid management, demand-response optimization, and energy efficiency optimization
Decentralized energy solutions for off-grid and remote areas
AI-powered carbon tracking and industrial decarbonization
Energy-efficient building design and operations

Specific Challenges:

Remote/off-grid communities: AI-driven microgrid management
Heavy industries: AI-enabled energy efficiency improvements
Urban centres: AI-supported demand response and smart energy systems

AI for Sustainable Mobility ( UN SDG 7+9+11+13 )

AI-driven traffic management and congestion reduction
Optimization of electric vehicle (EV) infrastructure and charging networks
Sustainable public transportation planning and operations
Logistics and freight optimization for reduced environmental impact
Multi-modal transport integration and ride-sharing models
Specific Challenges:
- - Mega cities: AI-powered real-time public transport scheduling
  - Freight & logistics: AI-driven route optimization for sustainable supply chains
  - Developing economies: AI-supported affordable and efficient mobility solutions

AI for Sustainable Infrastructure ( UN SDG 9+11+13 )

Resilient urban planning and climate-adaptive infrastructure
Disaster risk assessment and early warning systems
Sustainable construction and green building technologies
Predictive maintenance for critical infrastructure
Smart city solutions for waste, water, and energy management

Specific Challenges:

Coastal cities: AI-powered flood resilience modelling
Seismic zones: AI-driven earthquake risk prediction and infrastructure resilience
Developing economies: AI-supported low-cost smart city solutions

AI for Biodiversity Conservation ( UN SDG 13+14+15 )

Wildlife tracking and habitat monitoring using satellite and drone data
Deforestation detection and forest management
Marine ecosystem monitoring and coral reef protection
Precision conservation planning for endangered species
Balancing infrastructure development with ecological preservation

Specific Challenges:

Rainforest conservation: AI-powered illegal logging detection
Oceans and coastal regions: AI-driven marine biodiversity monitoring
Urban expansion zones: AI-supported sustainable land-use planning

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