Research Keywords: capsule video endoscopy; clustering; color gradient; convolutional neural network; data pre-processing; decision tree neural networks; image decomposition; local binary patterns; random walks; rsurf features; skin lesion classification; stochastic sampling; svm

Biography: Professor Sule Yildirim Yayilgan works at the Department of Information Security and Communication Technology (IIK), NTNU since 2009. She received a MSc. degree in Computer Engineering in 1995, and PhD in Artificial Intelligence ... [+]

Biography: Professor Sule Yildirim Yayilgan works at the Department of Information Security and Communication Technology (IIK), NTNU since 2009. She received a MSc. degree in Computer Engineering in 1995, and PhD in Artificial Intelligence and Computer Science in 2002. She has worked more than 25 years in academia and served as Head of the Department between 2005-2009. She has participated in projects funded by EU Horizon 2020, Eurostars, Erasmus+ programs, the Research Council of Norway, the Regional Research Council of Norway and the Ministry of Foreign Affairs, Norway. She belongs to the Center for Cyber Information Security (ccis.no) and she is leading the research group MR PET: Multidisciplinary Research group on Privacy and data protEcTion. She has been supervising students at different academic levels and has been publishing more than 100 journal and conference papers.  Research Goal and Approach My overall research goal is to be able to develop intelligent systems or their intelligence components. These intelligent systems provide decision support to humans and they can act ethically, legally and in a privacy preserving way. These systems are built using state of the art approaches in Artificial Intelligence, Machine Learning and Information Security. Research Areas More specifically, in all the research areas, my more specific research aim and focus is to investigate and improve the use of data-driven methods in solving the challenges of each of these research areas. I develop and adapt techniques from Artificial Intelligence, Machine Learning & Deep Learning and Cybersecurity to solve the challenges and obtain optimal operation of the solutions. I work in the following application domains: health,  energy,  information security, education,  artificial intelligence, other. [-]