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Melih Kandemir is an Associate Professor at the University of Southern Denmark, where he leads research in Machine Learning and its applications. He has a PhD in Computer Science from Aalto University, obtained in 2013. His research focuses on areas such as Bayesian inference, stochastic processes, reinforcement learning, and deep neural networks. In addition to his academic role, Kandemir has served as a Research Group Leader at Bosch Center for Artificial Intelligence and held a position as an Assistant Professor at Ozyegin University and as a Postdoctoral Researcher at Heidelberg University. He is actively involved in multiple active projects, including those funded by the Novo Nordisk Foundation and the Danish Research Councils. Kandemir has received significant recognition for his work, including a Paper Award in 2017 and a Carlsberg Young Researcher Fellowship. His collaborative efforts and research outputs are well-documented in profiles available on Scopus and ORCID.
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