Prof. Witold Pedrycz

Witold Pedrycz (IEEE Life Fellow) is Professor and Canada Research Chair (CRC) in Computational Intelligence in the Department of Electrical and Computer Engineering, University of Alberta, Edmonton, Canada. He is also with the Systems Research Institute of the Polish Academy of Sciences, Warsaw, Poland. Dr. Pedrycz is a foreign member of the Polish Academy of Sciences and a Fellow of the Royal Society of Canada. He is a recipient of several awards including the Norbert Wiener award from the IEEE Systems, Man, and Cybernetics Society, IEEE Canada Computer Engineering Medal, a Cajastur Prize for Soft Computing from the European Centre for Soft Computing, a Killam Prize, a Fuzzy Pioneer Award from the IEEE Computational Intelligence Society, and 2019 Meritorious Service Award from the IEEE Systems Man and Cybernetics Society.

His main research directions involve Computational Intelligence, Granular Computing, knowledge discovery, data science, and knowledge-based neural networks among others.

Dr. Pedrycz is involved in editorial activities. He is an Editor-in-Chief of Information Sciences, Editor-in-Chief of WIREs Data Mining and Knowledge Discovery (Wiley), and Co-editor-in-Chief of Int. J. of Granular Computing (Springer) and J. of Data Information and Management (Springer).

Prof. Francisco M. Gonzalez-Longatt

Francisco M. Gonzalez-Longatt is currently a full professor in electrical power engineering at the Department of Electrical Engineering, IT and Cybernetics, University of Southeast Norway, Norway. His academic qualifications include first Class Electrical Engineering of Instituto Universitario Politécnico de la Fuerza Armada Nacional, Venezuela (1994), Master of Business Administration ( Honors ) of Universidad Bicentenaria de Aragua, Venezuela (1999), Ph.D. in Electrical Power Engineering from the Universidad Central de Venezuela (2008) and Postgraduate Certificate in Higher Education Professional Practice from Coventry University (2013) and Diploma in Leadership and Management (ILM Level 3), Loughborough University (2018). He is a former Lecturer in Electrical Power Systems at Wolfson School of Mechanical, Electrical and Manufacturing Engineering and a member of the Center for Renewable Energy Systems Technology (CREST) at Loughborough University, UK. He is a former academic staff of the Department of Aerospace, Electrical and Electronic Engineering at Coventry University where he started as Lecturer in Electrical Engineering in 2012 and was promoted to Senior Lecturer in Electrical Engineering in 2013. He was formerly with the School of Electrical and Electronic Engineering, The University of Manchester as a Postdoctoral Research Associate (2009-2011). He is a former associate professor (1995-2009) and Chair (1999-2001) of the Department of Electrical Engineering of the Universidad Nacional Politécnico de la Fuerza Armada Nacional, Venezuela (1995-2009). He is the author or editor of several books (Spanish and English) including: “Power Factory Applications for Power System Analysis'', Springer; “Advanced Smart Grid Functionalities based on PowerFactory” Springer, and “Dynamic Vulnerability Assessment and Intelligent Control for Sustainable Power Systems”, Wiley.

Prof. Carlos A. Coello Coello

Carlos A. Coello Coello (Fellow, IEEE) received the Ph.D. degree in computer science from Tulane University, New Orleans, LA, USA, in 1996. He is currently a Professor with Distinction (CINVESTAV-3F Researcher), Computer Science Department, CINVESTAV-IPN, Mexico City, Mexico. He has authored and coauthored over 500 technical papers and book chapters. He has also co-authored the book Evolutionary Algorithms for Solving Multiobjective Problems (2nd ed., Springer, 2007) and has edited 3 more books with publishers such as World Scientific and Springer. His publications currently report over 60000 citations in Google Scholar (his H-index is 96). His major research interests are evolutionary multiobjective optimization and constraint-handling techniques for evolutionary algorithms.

He has received several awards, including the National Research Award (in 2007) from the Mexican Academy of Science (in the area of exact sciences), the 2009 Medal to the Scientific Merit from Mexico City's congress, the Ciudad Capital: Heberto Castillo 2011 Award for scientists under the age of 45, in Basic Science, the 2012 Scopus Award (Mexico's edition) for being the most highly cited scientist in engineering in the 5 years previous to the award and the 2012 National Medal of Science in Physics, Mathematics and Natural Sciences from Mexico's presidency (this is the most important award that a scientist can receive in Mexico). He also received the Luis Elizondo Award from the Tecnológico de Monterrey in 2019. Additionally, he is the recipient of the 2013 IEEE Kiyo Tomiyasu Award, "for pioneering contributions to single- and multiobjective optimization techniques using bioinspired metaheuristics", of the 2016 The World Academy of Sciences (TWAS) Award in “Engineering Sciences”, and of the 2021 IEEE Computational Intelligence Society Evolutionary Computation Pioneer Award. Since January 2011, he is an IEEE Fellow. He is currently the Editor-in-Chief of the IEEE Transactions on Evolutionary Computation.

Prof. Andries Engelbrecht

Prof. Engelbrecht received the Masters and Ph.D. degrees in Computer Science from the University of Stellenbosch, South Africa, in 1994 and 1999, respectively. Currently, he is appointed as the Voigt Chair in Data Science in the Department of Industrial Engineering, with a joint appointment as Professor in the Computer Science Division, Stellenbosch University. Prior to his appointment at Stellenbosch University, he has been at the University of Pretoria, Department of Computer Science (1998-2018), where he was appointed as South Africa Research Chair in Artificial Intelligence (2007-2018), the head of the Department of Computer Science (2008-2017), and Director of the Institute for Big Data and Data Science (2017-2018). In addition to a number of research articles, he has written two books, Computational Intelligence: An Introduction and Fundamentals of Computational Swarm Intelligence.

Prof. P. N. Suganthan

Ponnuthurai Nagaratnam Suganthan (Fellow, IEEE) received the B.A. and M.A. degrees from the University of Cambridge, Cambridge, U.K., and the Ph.D. degree from Nanyang Technological University, Singapore. He was a recipient of the IEEE Transactions on Evolutionary Computation Outstanding Paper Award in 2012 and the Highly Cited Researcher Award by the Thomson Reuters in computer science in 2015. He is currently an Associate Editor of the IEEE Transactions on Evolutionary Computation, the IEEE Transactions on Cybernetics, Information Sciences, and Pattern Recognition, and the Founding Co-Editor-in-Chief of Swarm and Evolutionary Computation journal.

Prof. Amir H. Gandomi

Amir H. Gandomi is a Professor of Data Science and an ARC DECRA Fellow at the Faculty of Engineering & Information Technology, University of Technology Sydney. Prior to joining UTS, Prof. Gandomi was an Assistant Professor at Stevens Institute of Technology, USA, and a distinguished research fellow at BEACON center, Michigan State University, USA. Prof. Gandomi has published over two hundred journal papers and seven books which collectively have been cited 28,000+ times (H-index = 75). He has been recognized as one of the most influential scientific minds and awarded Highly Cited Researchers (top 1% publications and 0.1% researchers) for five consecutive years, 2017 to 2021 by Web of Science. He also ranked 17th 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 IEEE TBD and IEEE IoTJ. Prof Gandomi is active in delivering keynotes and invited talks. His research interests are global optimisation and (big) data analytics using machine learning and evolutionary computations in particular.