Frontiers of AI Research
in Space, Earth System &
Engineering Sciences
An online, interdisciplinary conference convening researchers, academicians, engineers and students working at the forefront of core AI/ML and its applications across the physical sciences — with a strong focus on space science.
The window to submit closes soon.
Abstracts (250–400 words, optionally with one figure) are reviewed by the programme committee. Accepted authors present in a 15-minute contributed slot — or in our asynchronous poster gallery.
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Call for abstracts opens 01 March 2026
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Abstract submission deadline 15 May 2026
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Author notification 05 June 2026
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Early-bird registration deadline 20 June 2026
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Camera-ready / final abstract 30 June 2026
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Standard registration closes 15 July 2026
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Conference 20–21 July 2026
Where machine intelligence meets the physical world.
Each theme is anchored by a plenary lecture and two invited talks, followed by contributed presentations from the research community.
Earth System Intelligence
AI/ML for Climate, Weather, and Environmental Sciences
Physics-informed climate emulators; ML-driven numerical weather prediction; deep learning for ocean biogeochemistry; AI-accelerated biogeochemical modeling; data-driven hydrology and ecosystem forecasting.
Sensing Beyond Boundaries
AI/ML for Remote Sensing, Planetary Exploration & Space Weather
Foundation models for satellite and hyperspectral imagery; geospatial change detection and land-use classification; ML for planetary surface analysis; solar wind and magnetospheric forecasting; space weather nowcasting; AI/ML in satellite data processing.
Theory Meets Computation
AI for Theoretical Sciences & Theoretical Foundations of AI
Physics-informed neural networks and neural operators; AI/ML for high-energy physics; generalization and optimization theory of deep learning; information-theoretic frameworks for learning.
Autonomous, Resilient & Secure AI
HPC, Agentic Systems, Cybersecurity & Post-Quantum Intelligence
HPC computing for AI/ML; multi-step autonomous agent architectures; planning, memory, and tool-augmented reasoning; adversarial robustness and neural network verification; AI-driven threat detection and intrusion response; post-quantum cryptographic primitives for AI pipelines; privacy-preserving and quantum-resilient federated learning.
Two days. One track. No noise.
A single-track online programme runs in IST. Every session opens with a plenary, deepens with two invited theme talks, and closes with selected contributed work.
- Inauguration & Keynote
- Session 1 — Earth System Intelligence
- Session 2 — Sensing Beyond Boundaries
- Session 3 — Theory Meets Computation
- Session 4 — Autonomous, Resilient & Secure AI
- Valedictory & Awards