Yasemin is an Associate Professor (Docent) in the Automatic Control group at the Department of Electrical Engineering, Chalmers University of Technology. Her research is focused on data-efficient learning from multi-sensory data for robotics applications.

She completed her Ph.D. at the Royal Institute of Technology (KTH), Sweden, in 11/2012. As a researcher at KTH, she was involved in the EU projects CogX (Cognitive Systems that Self-Understand and Self-Extend) and RoboHow (Web-enabled and Experience-based Cognitive Robots that Learn Complex Everyday Manipulation Tasks). Later, she worked as a post-doctoral researcher at University of Birmingham contributing to the EU project RoMaNs (Robotic Manipulation for Nuclear Sort and Segregation), and as a research scientist at ABB, Corporate Research, Sweden, coordinating the EU project SARAFun (Smart Assembly Robot with Advanced Functionalities). She also worked at Vicarious in San Francisco Bay Area where she led the research on robotic grasp planning and manipulation for industrial tasks, also developing prototype systems capable of grasping various types of objects for different manipulation goals. She held a position of Senior Research Fellow in Machine Learning for Autonomous Robots in Sustainability and Machine Learning Group at University College London. She received the Best Paper Award at IEEE International Conference on Robotics and Automation for Humanitarian Applications (RAHA) in 2016 and the Best Manipulation Paper Award at IEEE International Conference on Robotics and Automation (ICRA) in 2013, and was IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) CoTeSys Cognitive Robotics Best Paper Award Finalist in 2013.