Hamid Khayyam

Associate Professor Hamid Khayyam earned his B.Sc. (Hons.) from the University of Isfahan, his M.Sc. from the Iran University of Science and Technology, and his Ph.D. from Deakin University. With over a decade of experience in automation and energy productivity across various industrial companies, Dr. Khayyam previously led efforts at Deakin University on modeling, control, and optimization of energy systems for the carbon fiber production line at Carbon Nexus.

Currently, Dr. Khayyam is an Associate Professor in the School of Engineering at RMIT University. He has made significant scholarly contributions, including over 125 articles published in professional journals and conferences, 3 books as sole editor, 10 book chapters, and editorial or reviewer roles for more than 400 journal papers. Dr. Khayyam also serves on the editorial boards of several Q1-ISI journals. His research focuses on developing innovative technologies that integrate Artificial Intelligence and Machine Learning to address complex systems, creating simplified and procedural solutions for end-users.

Associate Professor Khayyam has been recognized among the Top 2% of World Scientists by Stanford University and Elsevier in the fields of Applied Sciences – Enabling and Strategic Technologies and Energy for the five years 2019, 2020, 2021, 2022, and 2023.

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, Associate Professor Khayyam has successfully supervised the graduation of 14 Ph.D. students, who are now contributing to academia and industry. Currently, he leads a team comprising 12 Ph.D. students and two research fellows, focused on solving complex systems in engineering subjects. 

Dr. Hamid Khayyam has over ten years of experience in automation and energy productivity, working with several large-scale industrial companies.

In his previous role, he led efforts on machine learning modeling, control, and intelligent optimization of energy systems for the carbon fiber production line at Carbon Nexus, Deakin University.

Associate Professor Khayyam has secured over $9.92 million in grants and research income from ARC, CRCs and Industrial projects.

Professional Interests:
- Senior Member of IEEE and actively involved in Power and Energy and Intelligent Transportation Systems Societies.
- Editor of IEEE Transaction on Vehicular Technology.
- Associate Editor of IEEE Transaction on Intelligent Transportation Systems.
- Editor of Sustainability.
- Reviewers of IEEE TVT, ITS, TIE, TII, Nano Energy.
- Organizing Committee and Member of the Academic Board for more than 10 international conferences.