Omid Chatrabgoun

Dr Omid Chatrabgoun is an Assistant Professor in Data Science and AI. Dr Chatrabgoun received his PhD degree in Mathematical Statistics from Shahid Chamran University (Iran) in 2015 for a thesis entitled "Estimating Copula Density Function through Multiwavelets". Following that, he continued learning about data science and mostly focused on copula-based supervised and un-supervised learning. After graduation, he started working at Malayer University, Statistics Department and directed the department for four years. He was an associate professor and vice-dean in Faculty of Mathematical Sciences and Statistics at Malayer University. During his academic career, he has taught some courses relating to his expertise at graduate and undergraduate levels, including Statistical learning, Data science, and Machine learning. His primary research is in Data Science using (Deep) Gaussian process and kernel-based Support Vector machines (SVMs), Big data, Stochastic optimization and Machine learning (Especially (Deep) Gaussian process, Neural networks and Stochastic differential equation). He is currently developing a novel approach for Machine learning of linear operational equations to model uncertainty quantification for highly complex systems using Gaussian processes. He has applied these methods to a wide range of applications in various multidisciplinary projects including construction of Gene Regulatory Networks (GRNs). Dr Omid Chatrabgoun is co-author of many research outputs, published as peer-reviewed papers, book chapters and conference presentations. He has experience of gaining research grants and has been involved in consultancy and knowledge exchange projects with a range of research and industrial centres including Iran National Science Foundation (INSF) and Research Institute for Grapes and Raisin (RIGR).