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methods for small, noisy, incomplete, heterogeneous, or high-dimensional datasets; evaluating uncertainty, calibration, generalization, transfer learning, domain adaptation, and sensor fusion; developing
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, signal processing, sensor fusion, machine learning, and data-driven modeling, with the broader goal of advancing human-centered intelligent infrastructure, smart cities, and resilient communities
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. The project will involve drone optimizations, computer vision, closed-loop control, multi-modal sensor fusion, machine learning, and transfer learning methods. The candidate will also work in collaboration with
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are robotics for mines, construction sites, aerial inspection of aging infrastructure, multi-robotic search and rescue, multi sensorial fusion and multirobot coordination, including multirobot perception
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are robotics for mines, construction sites, aerial inspection of aging infrastructure, multi-robotic search and rescue, multi sensorial fusion and multirobot coordination, including multirobot perception
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Inria, the French national research institute for the digital sciences | Montbonnot Saint Martin, Rhone Alpes | France | about 2 months ago
, sensor perturbations) without catastrophic forgetting, building on the team’s prior work in continual and self-supervised learning. Adaptation to simulated environments: transfer of perception modules
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Position Overview School / Campus / College: College of the Environment Organization: Earth and Space Science Title: Postdoctoral Scholar in Multi-Hazard, Multi-Sensor Monitoring at Mt Rainier
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emphasizes developing and deploying AI tools—especially vision-based and multi-sensor analytics—to improve safety for pedestrians, bicyclists, and micromobility users. The scholar will play a central role in