collaborators

9 papers

cs.CV2026

OpenEarthAgent: A Unified Framework for Tool-Augmented Geospatial Agents

Akashah Shabbir, Muhammad Umer Sheikh, Muhammad Akhtar Munir +8

Recent progress in multimodal reasoning has enabled agents that interpret imagery, connect it with language, and execute structured analytical tasks. Extending these capabilities t…

cs.AI2026

TerraBench: Can Agents Reason Over Heterogeneous Earth-System Data?

Dat Tien Nguyen, Thao Nguyen, Fadillah Adamsyah Maani +5

Climate and environmental decision-making increasingly requires reasoning across heterogeneous inputs, including gridded physical data, satellite imagery, geospatial context, and s…

cs.CV2026

Objects Before Words: Object-First Inductive Biases for Grounding Language in Child-View Video

Sathira Silva, Abrham Kahsay Gebreselasie, Muhammad Umer Sheikh +3

Learning grounded word meaning from natural experience requires resolving two ambiguities in infant-view recordings: when the named referent appears and where it is in a cluttered…

cs.LG2026

MMClima: A Framework for Multimodal Climate Science Data and Evaluation

Muhammad Umer Sheikh, Hassan Abid, Khawar Shehzad +2

Climate change research increasingly requires AI systems that reason across text, dynamic visual content, and scientific figures, yet existing climate QA benchmarks are small, most…

cs.LG2026

GCA Framework: A GCC Countries-Grounded Dataset and Agentic Pipeline for Climate Decision Support

Muhammad Umer Sheikh, Khawar Shehzad, Salman Khan +2

Climate decision-making in the GCC states increasingly demands systems that can translate heterogeneous scientific and policy evidence into actionable guidance, yet general-purpose…

cs.CV2026

Agentic AI for Remote Sensing: Technical Challenges and Research Directions

Muhammad Akhtar Munir, Muhammad Umer Sheikh, Akashah Shabbir +5

Earth Observation (EO) is moving beyond static prediction toward multi-step analytical workflows that require coordinated reasoning over data, tools, and geospatial state. While fo…