London, England, United Kingdom
I come from academia (machine learning, computer vision, artificial intelligence), where I put my heart into solving every possible awesome problem anywhere, as long as it was going to save the world, was going to get to the deep meanings of life, or was sufficiently cool. Now I'm working with Dae.mn where we put our experience to work to solve real problems of our client organisations. I am also keen to understand our clients' and their customers' journeys at a deep level so that we can understand where the value in this AI and ML stuff really is - if any.
I am working with Daemon's machine learning and artificial intelligence practice to find ever better ways to use technology to help people to do better work in the world.
I was a researcher and lecturer at Istanbul Technical University, one of the top technical universities in Turkey. As a researcher I initiated and managed the following government-funded research projects: * "Investigation of depth reconstruction from single views and application to autonomous robots." funded by the Scientific and Technological Research Council of Turkey (TÜBİTAK) Project Number 116E167. * "Spatial auditory-vision sensory substitution using range cameras." funded by the Scientific and Technological Research Council of Turkey (TÜBİTAK) Project Number 114E143. I lectured for and coordinating the following courses (and was in 3 consecutive years voted Best Lecturer in the Faculty of Computer and Informatics Engineering): * BLG103E: Introduction to Information Systems. * BLG374E: Technical Communications for Computer Engineers. * BLG443E: Discrete Event Simulation. * BLG412E: Computer Ethics. * BLG456E: Robotics. I lead the Measurement and Evaluation Commission for my department.
Worked with this ambitious startup in the area of computer vision and deep learning. We worked on developing a core Industry 4.0 product which had the potential to be transformative in the industry. Our key tools were Pytorch, FastAI, and OpenCV.
I was part of a team investigating different ways of combining, using formal methods, knowledge representation, and so forth, high and low level forms of reasoning (such as object perception and motion planning), while continuing to work on object representation for efficient prediction and computer vision, and developing interesting physical scenarios in household robotics. Mostly I worked with the Kuka YouBot, Kinect sensor and Point Cloud Library.
2010, 2011: Academic Skills instructor (313) 2011, 2012: Software Engineering documentation consultant (332) 2010, 2011, 2012: Undergraduate Dissertation Skills (451,452) 2011, 2012: Dissertation Advisor 2011: Optimal Action in Mobile Robotics lecturer (305) 2012: Computer Graphics and Simulation lecturer (304).