collaborators

8 papers

cs.AI2026

Air Traffic Control Using Large Language Models: Prompt Engineering, Architecture, and Evaluation

Mahyar Ghazanfari, Matthias Casanova, Jordan Kam +4

Air traffic control (ATC) communication is a safety-critical dialogue that remains largely human-driven even as other parts of air traffic management have been semi-automated. In t…

cs.CV2026

A Paragraph is Worth a Thousand Captions: Rethinking Text Supervision for Vision-Language Retrieval

Mahyar Ghazanfari, Amin Tabrizian, Arsyi Aziz +2

Contrastive vision-language models such as CLIP and BLIP are typically trained on short image captions, limiting their ability to retrieve images from detailed textual descriptions…

cs.RO2026

End-to-End LLM Flight Planning with RAG-based Memory and Multi-modal Coach Agent

Amin Tabrizian, Arsyi Aziz, Aarifah Ullah +3

Bridging the gap between human pilot intent and autonomous flight operation is critical for real-world electric vertical takeoff and landing (eVTOL) aircraft deployment. Flight pla…

cs.AI2026

EO-Agents: A Three-Agent LLM Pipeline for Earth Observation Hypothesis Generation

Mahyar Ghazanfari, Amin Tabrizian, Armin Mehrabian +1

Large language models have recently been explored for scientific hypothesis generation, but most prior work relies on unstructured literature and free-form textual claims. We prese…

cs.AI2026

Towards Automated Air Traffic Safety Assessment Around Non-Towered Airports Using Large Language Models

Torsten Darrell, Mahyar Ghazanfari, Jordan Kam +3

We investigate frameworks for post-flight safety analysis at non-towered airports using large language models (LLMs). Non-towered airports rely on the Common Traffic Advisory Frequ…

cs.CV2026

See&Say: Vision Language Guided Safe Zone Detection for Autonomous Package Delivery Drones

Mahyar Ghazanfari, Peng Wei

Autonomous drone delivery systems are rapidly advancing, but ensuring safe and reliable package drop-offs remains highly challenging in cluttered urban and suburban environments wh…