Helder Araujo

Helder Araujo is a Professor at the Department of Electrical and Computer Engineering, University of Coimbra. His research focuses on Robot Vision, Computer Vision, and Medical Imaging, with applications in Capsule Endoscopy, Autonomous Driving, and Sensor Fusion.

Recent publications highlight advancements in 3D Object Detection using transformer networks (e.g., RetSeg3D, DDet3D), Medical Robotics (e.g., Self-supervised monocular pose estimation), and Federated Learning (e.g., FAIR-FATE). Key subfields include Transformer Models, Deep Learning, and Autonomous Navigation.

His projects span Medical Imaging (e.g., Multi-Cam Capsule Endoscopy), Autonomous Robotics (e.g., Learning to Navigate Endoscopic Capsule Robots), and Edge Computing (e.g., Benchmarking CNN Inference on Low-Power Devices).

Grants include funding from Fundação para a Ciência e a Tecnologia (e.g., PTDC/EEI-ROB/1155/2020) and the European Commission (e.g., AdvanCed Hardware/Software Components for Embedded Vision). He has served as an invited researcher at Université Blaise Pascal (2012–2014).

Peer review activities cover journals like IEEE Transactions on Pattern Analysis and Machine Intelligence and Autonomous Robots. His work bridges Medical Imaging, Autonomous Systems, and AI Fairness.