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Adil Baykasoğlu received his B.Sc., M.Sc. and Ph.D. degrees from Mechanical & Industrial Engineering areas in Turkey (Gaziantep) and United Kingdom (Nottingham). He is presently a full Professor at the Industrial Engineering Department at the Dokuz Eylül University. He has organized many academic conferences, published numerous academic papers, three books and organized/edited several conference books on operational research, computational intelligence, engineering management, and manufacturing systems design. He is an active editor and editorial board member for many scientific journals. He is also an active member of many academic and professional institutions including the International Society of Agile Manufacturing, Turkish Chamber of Mechanical Engineers, Turkish Operational Research Association, etc. He has received awards from Turkish Academy of Sciences (TUBA), Scientific and Technological Research Council of Türkiye (TUBITAK), Middle East Technical University (METU), and several other institutions for his scientific contributions. ORCID: 0000-0002-4952-7239, Web: https://web.deu.edu.tr/baykasoglu

Prof. Dr. Mete KALYONCU is a faculty member in the Department of Mechanical Engineering at Konya Technical University. His research spans mechanical vibrations, system dynamics, mechanism design, control systems, robotics, and artificial intelligence-based optimization methods. He earned his Ph.D. in Mechanical Engineering from Selçuk University in 1998 and later completed postdoctoral research at Cardiff University, UK.

Prof. KALYONCU has published extensively in national and international journals, supervised numerous graduate theses, and led or contributed to more than 50 publicly funded R&D projects. He served on the board of TÜBİTAK TEYDEB MAKITEG, where he evaluated over 1,200 industrial R&D proposals, and has advised several companies in establishing R&D centres.

In addition to his academic and industrial contributions, Prof. KALYONCU has played a leading role in the Chamber of Mechanical Engineers (TMMOB), serving multiple terms as Chair of the Konya Branch. Through organizing technical events and editing reference publications, he has significantly advanced the profession. His career reflects a strong integration of academic research, industrial innovation, and professional service in mechanical engineering.

Swagatam Das earned his B.E. in Electronics and Telecommunications Engineering, M.E. with a specialization in Control Engineering, and Ph.D.(Engineering) degrees from Jadavpur University, India, in the years 2003, 2005, and 2009, respectively. He is currently a professor at the Electronics and Communication Sciences Unit (ECSU) of the Indian Statistical Institute, Kolkata, India. He is also serving as the Professor-in-Charge of the Computer and Communication Sciences Division (CCSD) of his Institute for the term 2024 - 26. He previously held the position of Professor and Deputy Director at the Institute for Advancing Intelligence (IAI), TCG CREST, Kolkata, India, from April 01, 2023, to March 31, 2024. His research interests encompass deep learning and non-convex optimization, and he has published over 400 research articles in peer-reviewed journals and international conferences. Dr. Das is the founding Co-Editor-in-Chief of Swarm and Evolutionary Computation, an international journal by Elsevier. He has served or is currently serving as an Associate Editor for several prominent journals, including the IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Cybernetics, IEEE Transactions on Evolutionary Computation, Pattern Recognition (Elsevier), Neurocomputing (Elsevier), Information Sciences (Elsevier), IEEE Trans. on Systems, Man, and Cybernetics: Systems, among others. He is a member of the editorial board of Information Fusion (Elsevier), Progress in Artificial Intelligence (Springer), Applied Soft Computing (Elsevier), Engineering Applications of Artificial Intelligence (Elsevier), and so on. Dr. Das has received over 36,500 Google Scholar citations and an H-index of 90 to date. He has actively participated in the program committees and organizing committees of renowned international conferences such as NeurIPS, AAAI, AISTATS, ACM Multimedia, BMVC, IEEE WCCI, GECCO, and more. He currently serves as an ACM Distinguished Speaker. He received the 2012 Young Engineer Award from the Indian National Academy of Engineering (INAE) and the 2015 Thomson Reuters Research Excellence India Citation Award for being the highest-cited researcher in Engineering and Computer Science in India between 2010 and 2014. 

Xin Yao is Vice President (Research & Innovation) and Tong Tin Sun Chair Professor of Machine Learning at Lingnan University, Hong Kong SAR. He is an IEEE Fellow and a Fellow of Hong Kong Academy of Engineering. He served as the President (2014-15) of IEEE Computational Intelligence Society (CIS) and the Editor-in-Chief (2003-08) of IEEE Transactions on Evolutionary Computation. His major research interests include evolutionary computation, machine learning and trustworthy AI. His work won the 2001 IEEE Donald G. Fink Prize Paper Award; 2010, 2016 and 2017 IEEE Transactions on Evolutionary Computation Outstanding Paper Awards; 2011 IEEE Transactions on Neural Networks Outstanding Paper Award; 2010 BT Gordon Radley Award for Best Author of Innovation (Finalist); and other best paper awards at conferences. He received the 2012 Royal Society Wolfson Research Merit Award, 2013 IEEE CIS Evolutionary Computation Pioneer Award and 2020 IEEE Frank Rosenblatt Award. 

Professor Ahmed Haj Darwish is a faculty member at the University of Aleppo, Syria. Where he serves in the Department of Artificial Intelligence and Natural Languages, Faculty of Informatics Engineering. He received his Ph.D. in Systems Engineering from Cardiff University, United Kingdom, in 2009, under the supervision of Professor D.T. Pham. His doctoral research, entitled “Enhanced Bees Algorithm with Fuzzy Logic and Kalman Filtering,” proposed a hybrid optimization framework that combined swarm intelligence with fuzzy reasoning and probabilistic filtering, contributing to the advancement of adaptive computational methods. 

His research interests cover a wide spectrum of fields, including robotics, intelligent optimization techniques, fuzzy and neural systems, and image processing. Much of his work emphasizes the integration of these approaches into practical applications, ranging from autonomous systems and intelligent control to advanced computational modeling. 

Beyond his research, Professor Haj Darwish is deeply engaged in academic development and knowledge transfer. He has contributed to curriculum design, graduate supervision, and the promotion of interdisciplinary collaboration in artificial intelligence and engineering. His commitment lies in bridging theoretical innovation with real-world problem-solving, fostering both academic excellence and applied impact.