Iman Rahimi, PhD, is a distinguished research scholar at the University of Technology Sydney, Australia, specializing in machine learning, optimization, and applied mathematics. He holds dual doctorates in Industrial Engineering and Computer Science, along with a BSc and MSc in Applied Mathematics. Dr. Rahimi has authored and edited several influential books, including titles on evolutionary computation and big data analytics, and has contributed extensively to academic literature as a reviewer for high-ranking journals. His editorial experience spans multiple publications, and he has received numerous international awards and research grants, highlighting his significant contributions to the field. With a robust background in operations research, Dr. Rahimi continues to advance knowledge in multiobjective optimization and its applications in various industries. Ali Emrouznejad is a Professor and Chair in Business Analytics at Surrey Business School, UK, and director of the Centre for Business Analytics in Practice. Recognized among the top 2% of influential scientists globally, he has extensive expertise in performance measurement, AI, and big data. A prolific author with over 250 publications and editor of Springer’s Business Analytics in Practice series, he collaborates on high-impact research projects funded by esteemed organizations worldwide.Mo Jamshidi, Lutcher Brown Endowed Chair Professor at the University of Texas at San Antonio, is a globally renowned expert in systems engineering and control. A Fellow of IEEE, ASME, AAAS, and multiple academies, he has authored over 640 technical publications, including 63 books, and has supervised 40 PhD and 70 MS graduates worldwide. As a pioneer in systems of systems engineering, he has held distinguished roles with NASA, NATO, and the IEEE and continues to lead international initiatives and research in autonomous control and robotics.Amir H. Gandomi, PhD, is a leading researcher in global optimization and big data analytics, currently serving as a Professor of Data Science and an ARC DECRA Fellow at the University of Technology Sydney (UTS). With over 450 journal publications and 60,000 citations, he is among the most cited researchers worldwide. Dr. Gandomi has authored 14 books and received numerous accolades, including the IEEE TCSC Award and the Achenbach Medal. His editorial roles span several prestigious journals, and he is a sought-after keynote speaker in the fields of artificial intelligence and genetic programming. Previously, he held academic positions at the Stevens Institute of Technology and Michigan State University, where he contributed significantly to advancing knowledge in machine learning and evolutionary computation.