5 papers
SCOPE: Real-Time Natural Language Camera Agent at the Edge
Nikolaj Hindsbo, Sina Ehsani, Pragyana Mishra
Deploying language-driven agents in robotics requires evaluations that reflect real-world task demands: natural-language instructions with reproducible outcomes. Such agents must c…
Mapping the Storm: Geospatial Impacts of Severe Weather on LEO Network Performance
Sina Ehsani, Bhanu Pallakonda, Pragyana K. Mishra
LEO satellite constellations, led by deployments such as Starlink, are playing an increasingly pivotal role in enabling global broadband connectivity. However, the reliability and…
Sleeper Cell: Injecting Latent Malice Temporal Backdoors into Tool-Using LLMs
Bhanu Pallakonda, Mikkel Hindsbo, Sina Ehsani +1
The proliferation of open-weight Large Language Models (LLMs) has democratized agentic AI, yet fine-tuned weights are frequently shared and adopted with limited scrutiny beyond lea…
BiDepth: A Bidirectional-Depth Neural Network for Spatio-Temporal Prediction
Sina Ehsani, Fenglian Pan, Qingpei Hu +1
Accurate spatial-temporal (ST) prediction for dynamic systems, such as urban mobility and weather patterns, is crucial but hindered by complex ST correlations and the challenge of…
Predicting the Skies: A Novel Model for Flight-Level Passenger Traffic Forecasting
Sina Ehsani, Elina Sergeeva, Wendy Murdy +1
Accurate prediction of flight-level passenger traffic is of paramount importance in airline operations, influencing key decisions from pricing to route optimization. This study int…