| Associate professor |
Office phone | +34 971 17 2038
Email | email@example.com
Yolanda González Cid received a degree in Computer Science in 1992 from the University of Deusto, and she earned her Ph.D. in Industrial Engineering from the Spanish Open University in 1998.
Since 2000 she is Lecturer (associate professor) at the University of the Balearic Islands (Department of Mathematics and Computer Science). During the last years she has taught several courses such as Programming, Fundamentals of Computers, Digital Electronics, Industrial Vision, Remote Control Systems … both undergraduate, and post-graduate levels.
She is a member of the SRV (Systems, Robotics and Vision – srv.uib.es) research group since 2000. Her research interests cover several topics such as Computer Vision, Robotics and Machine Learning.
As a result of her research activity she has been involved in some Spanish and European funding projects and has been part of the scientific and program committees of several international congresses. She has supervised a PhD thesis and regularly publish in scientific congresses and prestigious journals.
She has been the dean of the High Polytechnic School of Engineering at the Universidad de las Islas Baleares from 2012 to 2016, and since 2016 she is the Director of Research Promotion at the same University.
• IDAV - Development and Test of Automated Techniques for Inspection and Visual Documentation of Large Structures by means of Aerial Vehicles
• MOCAP - MAV Tracking System for Performance Evaluation in Inspection Applications
• Formación superior en nuevas tecnologías marinas
• CLARS – Acoustic System for the Communication and Localization of an Underwater Robot
• ARSEA - Augmented Reality Subsea Exploration Assistant
• TRITON — Multisensory Based Underwater Intervention through Cooperative Marine Robots
• TRIDENT — Marine Robots and Dexterous Manipulation for Enabling Autonomous Underwater Multipurpose Intervention Missions
• VISUAL — Vision for submarine intervention using autonomous vehicles
• Localization and Mapping in Large Environments Using Ultrasonic Sensors