Viorela Ila
- Theme Lead - Mapping and Insights
- Doctor
- Institution: University of Sydney
Bio: Dr Viorela Ila received the Engineering degree in Industrial Engineering and Automation from the Technical University of Cluj-Napoca, Romania, in 2000 and the Ph.D. in Information Technologies from the University of Girona, Spain, in 2005. After the PhD studies, she joined the Robotics group at the Institut de Robótica i Informàtica Industrial, Barcelona, Spain. In 2009 she was awarded the MICINN/FULBRIGHT post-doctoral fellowship which allowed her to join the group of Prof. Frank Dellaert at College of Computing, Georgia Tech, Atlanta US. In 2010, Viorela joined the robotic group at LAAS-CNRS, Toulouse, France to work in the ROSACE project founded by RTRA-STAE. Between 2012 and 2014 she was a research scientist at Brno University of Technology in Czech Republic. From 2015-2018, Viorela was research fellow with the ARC Centre of Excellence for Robotic Vision at the Australian National University (ANU).
Research Expertise: Viorela’s research lies at the intersection of two fields, robotics and computer vision. Her research focuses on delivering foundation methodologies and algorithms to enable robotic systems to build real-time detailed 3D representation of the environment, a problem known as simultaneous localization and mapping (SLAM). This problem is of key importance in enabling robotic systems to progress from the structured setups such as labs and factories to operating in real world environment. Her research approach draws from recent advances in fundamental fields such as stochastic systems, information theory, high performance computing, machine learning and linear and nonlinear algebra and develops principled techniques and algorithms further integrated into robotic SLAM systems.
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