I am interested in understanding how to use our knowledge of networks to design expert systems in practical settings. As the heart of my research, I've been driven by several basic questions, such as what we can do to promote effective decision-making that is consistent with our goals in social settings and how we can help managers learn from previous experiences and use them effectively to make decisions or solve problems in new situations. My research has a strong interdisciplinary focus that combines theory and practice in the areas of network science, data structures, and machine learning.
I plan to expand my current work in several directions. Based on my interest in network science, I desire to explore the relationship between complex networks and artificial intelligence. Similarly, I will thoroughly study advances in machine learning and data mining. An understanding of machine learning and data structures is crucial for obtaining knowledge about complex networks. In addition, guiding students through their intellectual development has been one of the most rewarding aspects of my academic career. My future research will engage undergraduate and graduate students in interdisciplinary research on using complex networks to model real-world problems and then attempt to apply social media analysis and machine learning techniques to solve them.
Overall, the intersection of network science and artificial intelligence provides a timely new research area teeming with unexplored and well-motivated research directions, which will remain a central theme of my research. In addition to addressing the pressing issues of modeling real-world problems in a machine learning world, I am passionate about pursuing new concepts that expand the spectrum of networks. Meanwhile, I am eager to extend my primary zone and reach out for exciting collaborations with other fields.
Twitter: @KavehKadkhoda
Website: https://kavehkadkhoda.info