Danial Yazdani is a Decision Scientist and Data Analyst with over a decade of combined research and practical experience. He received his Ph.D. degree in computer science from Liverpool John Moores University, Liverpool, U.K., in 2018. He is currently a Research Fellow with the Data Science Institute, University of Technology Sydney, Sydney, Australia. His primary research interests include learning and optimization in dynamic environments, where he has contributed as the first author in over 20 peer-reviewed publications in this field, nine of which were published in prestigious IEEE/ACM Transactions. Dr. Yazdani was a recipient of the IEEE Computational Intelligence Society Outstanding PhD Dissertation Award, the Best Thesis Award from the Faculty of Engineering and Technology at Liverpool John Moores University, and the SUSTech Presidential Outstanding Postdoctoral Award from Southern University of Science and Technology.