Evolutionary Computation in Scheduling

Editors’ Biographies

Amir H. Gandomi is a Professor of Data Science at the Faculty of Engineering & Information Technology, University of Technology Sydney. Prior to joining UTS, Prof. Gandomi was an Assistant Professor at the School of Business, Stevens Institute of Technology, USA and a distinguished research fellow in BEACON center, Michigan State University, USA. Prof. Gandomi has published over 160 journal papers and five books. He has been named as one of the most influential scientific minds (top 1%) and a Highly Cited Researcher (H‐index = 56) for three consecutive years, 2017 to 2019. He also ranked 19th in GP bibliography among more than 12 000 researchers. He has served as associate editor, editor, and guest editor in several prestigious journals, such as AE of SWEVO and IEEE TBD. Prof. Gandomi is active in delivering keynote and invited talks. His research interests are global optimization and (big) data mining using machine learning and evolutionary computations in particular.

Ali Emrouznejad is a Professor and Chair in Business Analytics at Aston Business School, UK. His areas of research interest include performance measurement and management, efficiency and productivity analysis, as well as data mining and big data. He holds an MSc in applied mathematics and received his PhD in operational research and systems from Warwick Business School, UK. Prof Emrouznejad is editor, associate editor, and guest editor to several respected journals including: Annals of Operations ...