Ugur Kadak

As an Assistant Professor specializing in Applied Mathematics, I bring a wealth of expertise in the intersection of artificial intelligence and cutting-edge imaging technologies. My research centers on the development and implementation of deep learning-based systems in neuroscience, with a specific focus on neural network interpolation for image or signal processing. Additionally, my contributions extend to pioneering work in deep learning-based fuzzy multidimensional systems and the design of robust multidimensional inference mechanisms. In recent projects, I have been at the forefront of investigating the intricate information flow between different regions of the brain, leveraging advanced mathematical techniques to unravel critical insights into neural connectivity and cognitive processes.I have over fifteen years of teaching experience in mathematics at different respected universities. I take pride in my authorship of over 70 academic papers, with a cumulative citation count surpassing 1040. This extensive body of work reflects my dedication to advancing knowledge and contributing to the academic discourse in my field. Additionally, I have contributed to the academic community by serving as a reviewer for more than 25 prestigious journals, and currently hold the position of an Editor at the Journal of the Frontiers. My academic journey has also encompassed guiding and mentoring students through their Master's and Ph.D. theses, fostering a culture of academic excellence and research innovation. I am also a member of Machine Learning for Signal Processing Technical Committee (MLSP TC).I am enthusiastic to impart the insights and expertise cultivated during my professional journey in mathematics. This course equips learners with the essential skills to construct these remarkable systems, fostering a deep understanding of the intersection between Python programming, fuzzy logic, and neuroscience.