Dr. Seyedali Mirjalili

Seyedali Mirjalili is a Professor at Torrens University Center for Artificial Intelligence Research and Optimization and internationally recognized for his advances in nature-inspired Artificial Intelligence (AI) techniques. He is the author of more than 300 publications including five books, 250 journal articles, 20 conference papers, and 30 book chapters. With over 40,000 citations and H-index of 70, he is one of the most influential AI researchers in the world. From Google Scholar metrics, he is globally the most cited researcher in Optimization using AI techniques, which is his main area of expertise. Since 2019, he has been is in the list of 1% highly-cited researchers and named as one of the most influential researchers in the world by Web of Science. In 2021, The Australian newspaper named him as the top researcher in Australia in three fields of Artificial Intelligence, Evolutionary Computation, and Fuzzy Systems. He is a senior member of IEEE and is serving as an associate editor of leading AI journals including Neurocomputing, Applied Soft Computing, Advances in Engineering Software, Computers in Biology and Medicine, Healthcare Analytics, Applied Intelligence, and IEEE Access.

Dr. Diego Oliva

Diego Oliva received the B.S. degree in Electronics and Computer Engineering from the Industrial Technical Education Center (CETI) of Guadalajara, Mexico, in 2007, the M.Sc. degree in Electronic Engineering and Computer Sciences from the University of Guadalajara, Mexico in 2010. He obtained a Ph. D. in Informatics in 2015 from the Universidad Complutense de Madrid. Currently, he is an Associate Professor at the University of Guadalajara in Mexico. Since 2020 he has been a visiting professor at the Tomsk Polytechnic University in Russia. He has the distinction of National Researcher Rank 2 by the Mexican Council of Science and Technology. Since 2017 he has been a member of the IEEE. Diego Oliva is co-author of more than 100 papers in international journals and 5 books. He is part of the editorial board of IEEE Access, Plos One, Mathematical Problems in Engineering, IEEE Latin America Transactions, and Engineering Applications of Artificial Intelligence. His research interest includes Evolutionary and swarm algorithms, hybridization of evolutionary and swarm algorithms, and Computational intelligence.

Dr. Farman Ali

FARMAN ALI received the B.S. degree in computer science from the University of Peshawar, Pakistan, in 2011, the M.S. degree in computer science from Gyeongsang National University, South Korea, in 2015, and the Ph.D. degree in information and communication engineering from Inha University, South Korea, in 2018. He worked as a Postdoctoral Fellow at the UWB Wireless Communications Research Center, Inha University, from September 2018 to August 2019. He is currently an Assistant Professor with the Department of Software, Sejong University, South Korea. He has registered over four patents and published more than 50 research articles in peer-reviewed international journals and conferences. His current research interests include sentiment analysis/opinion mining, information extraction, information retrieval, feature fusion, artificial intelligence in text mining, ontology-based recommendation systems, healthcare monitoring systems, deep learning-based data mining, fuzzy ontology, fuzzy logic, and type-2 fuzzy logic. He has been awarded with the Outstanding Research Award (Excellence of Journal Publications2017) and the President Choice of the Best Researcher Award during his Graduate Program at Inha University.

Dr. Frederic Stahl

Frederic Stahl is Senior Researcher at the German Research Center for Artificial Intelligence (DFKI GmbH). He has been working in the field of Data Mining for more than 10 years focusing on the research domain of Big Data Analytics. His particular research interests are lie in (i) developing scalable algorithms for building adaptive models for real-time streaming data; (ii) developing scalable parallel Data Mining algorithms and workflows and (iii) applications in Big Data Analytics. In previous appointments Frederic worked as Associate Professor in Data Science at the University of Reading, as a Lecturer at Bournemouth University and as Senior Research Associate at the University of Portsmouth. He obtained his PhD in 2010 from the University of Portsmouth with the title “Parallel Rule Induction” and his Engineering degree in Bioinformatics in 2006 from the University of Applied Science Weihenstephan (Germany). He has published over 60 articles in peer-reviewed conferences and journals.

Dr. Mohamed Abd Elaziz

Mohamed Abd Elaziz received the B.S. and M.S. degrees in Computer science from the Zagazig University, in 2008 and 2011, respectively. He received Ph.D. degree in mathematics and computer science from Zagazig University, Egypt in 2014. From 2008 to 2011, he was Assistant lecturer in Department of computer science. He is associate professor at Zagazig university, Egypt. He is the author of more than 200 articles. ABD ELAZIZ is one of the 2% influential scholars, which depicts the 100,000 top-scientists in the world. His research interests include metaheuristic technique, security IoT, cloud computing machine learning, signal processing, image processing, and evolutionary algorithms.

Dr. Mohammed M. Elmogy

Mohammed M. Elmogy (Senior Member, IEEE) received the B.Sc. and M.Sc. degrees from the Faculty of Engineering, Mansoura University, Mansoura, Egypt, and the Ph.D. degree from the Informatics Department, MIN Faculty, Hamburg University, Hamburg, Germany, in 2010. From July 2016 to August 2019, he worked as a Visiting Researcher with the Department of Bioengineering, University of Louisville, Louisville, KY, USA. He is currently a Professor with Information Technology Department, Faculty of Computers and Information, Mansoura University. He advised more than 35 master and doctoral graduates. He has authored/co-authored over 220 research publications in peer-reviewed reputed journals, book chapters, and conference proceedings. His current research interests include computer vision, medical image analysis, machine learning, pattern recognition, and biomedical engineering. He is also a Professional Member of the ACM Society. He has served as a technical program committee member for many workshops and conferences. He has also served as a reviewer for various international journals.