Hamid Khayyam received his B.Sc. degree (Hons.) from the University of Isfahan, M.Sc. degree from the Iran University of Science and Technology, and Ph.D. degree from Deakin University. Dr. Khayyam has worked in automation and energy productivity for more than ten years in several industrial companies. In his previous position at Deakin University, he led the efforts on modeling, control, and optimization of energy systems for the carbon fiber production line at Carbon Nexus. Dr. Khayyam is currently a Senior Lecturer at the School of Engineering at RMIT University. He has contributed to more than 400 journal papers as editor and reviewer; and published more than 100 articles in professional journals/conferences, 1 book (sole editor), 10 book chapters. Dr. Khayyam serves on several Editorial Boards of Q1-ISI journals. His research is focused on instituting new technologies in support of developing distinctive approaches for integration of Artificial Intelligence and Machine Learning, to solve complex systems, towards developing simple and procedural approaches for end-users of these technologies. Dr. Khayyam is Top 2% of world scientists' researchers in Applied Sciences - Enabling and Strategic Technologies and Energy in (2020) and (2021). Dr. Khayyam is an academic member of the Intelligent Automation Research Group (IARG) at RMIT as well as The Materials and Manufacturing Research Institute (MMRI) at The University of British Columbia in Canada. During the past 10 years of his service in academia, he has collaborated with several universities including The Ohio State University, Texas A&M University, National University of Singapore, The University of British Columbia, and FH Aachen universities. As an HDR supervisor, 8 Ph.D. students have been graduated under his supervision and they are working in universities and industries.