Joshua Thomas
received his PhD. degree from University Sains Malaysia (USM), School of Computer Sciences, in 2015. He worked as research assistant at the Artificial Intelligence Lab in University Sains Malaysia. His research interests include scheduling algorithms, machine learning algorithms, data analytics, deep learning, and visual analytics, and Chemoinformatics. Dr. J. Joshua has authored several publications in leading international conferences and journals. Some of his research work were published in conferences including, IEEE, ICONIP, IVIC, IV, COMPSE, ICO. He has funded external, internal, short term research grants and industry collaborative projects. He has been invited as plenary speaker at IAIM2019, delivered, conduct Workshop's (IVIC19) at International conferences. He is an Associate Editor for the journal of Energy Optimization and Engineering (IJEOE), and invited as guest editor for JVLC-Elsevier, IJDSA-Springer, IJCC-IGI-Global, IJIRR-Inderscience.
Gerhard-Wilhelm Weber's academic journey began in Germany, where he earned his junior high school diploma before pursuing mathematics and economics at RWTH Aachen University. After obtaining his diploma in mathematics in 1986, Weber continued his studies, earning his Ph.D. in mathematics in 1992 from RWTH Aachen. He furthered his academic qualifications with a habilitation at Darmstadt University of Technology in 1999. Weber's career then took him to Middle East Technical University in Ankara, Turkey, where he served as a full professor and contributed significantly to fields such as computational biology and optimization. His extensive professional engagements included roles in academia, community service, and leadership positions in numerous international mathematical societies. Throughout his career, Weber's dedication to interdisciplinary research and international collaboration has made a profound impact on the global mathematical community, leaving a lasting legacy for future generations of scholars.
Roman Rodríguez-Aguilar is a professor in the School of Economic and Business Sciences of the “Universidad Panamericana” in Mexico. His research is on large-scale mathematical optimization,
evolutionary computation, data science, statistical modeling, health economics, energy, competition,
and market regulation. He is particularly interested in topics related to artificial intelligence, digital
transformation, and Industry 4.0. He received his Ph.D. at the School of Economics at the National
Polytechnic Institute, Mexico. He also has a master's degree in Engineering from the School of
Engineering at the National University of Mexico (UNAM), a master's degree in Administration and
Public Policy in the School of Government and Public Policy at Monterrey Institute of Technology and
Higher Education, a postgraduate in applied statistics at the Research Institute in Applied Mathematics
and Systems of the UNAM and his degree in Economics at the UNAM. Prior to joining Panamericana
University, he has worked as a specialist in economics, statistics, simulation, finance, and optimization,
occupying different management positions in various public entities such as the Ministry of Energy,
Ministry of Finance, and Ministry of Health. At present, he has the second-highest country-wide
distinction granted by the Mexican National System of Research Scientists for scientific merit (SNI
Fellow, Level 2). He has co-authored research articles in science citation index journals, conference
proceedings, presentations, and book chapters.
Elias Munapo holds a BSc in Applied Mathematics, an MSc in Operations Research, and a PhD in Applied Mathematics, all from the National University of Science and Technology (N.U.S.T.) in
Zimbabwe. Elias has vast experience in university education and has worked for five institutions of
higher learning. He was a lecturer at Zimbabwe Open University, Chinhoyi University of Technology,
and University of South Africa. He became a Senior Lecturer at the University of KwaZulu-Natal and
then joined North West University as an Associate Professor in 2016 and has been appointed as a
Professor since January 2019.
Pandian Vasant
(H index: 34) holds PhD in Computational Intelligence (UNEM, Costa Rica), MSc (UMS, Malaysia, Engineering Mathematics) and BSc (Hons) in Mathematics (MU, Malaysia). His research interests include Soft Computing, Hybrid Optimization, Innovative Computing and Applications. He has co-authored research articles in journals, conference proceedings, presentation, special issues guest editor, book chapters (293 publications indexed in Research-Gate). In the year 2009 and 2015, Professor Pandian Vasant was awarded top reviewer and outstanding reviewer for the journal of Applied Soft Computing (Elsevier). He has 30 years of working experience at the universities. Currently he is an Editor-in-Chief of International Journal of Energy Optimization & Engineering, and Member of AMS (USA), NAVY Research Group (TUO, Czech Republic) and Senior Research Associate at MERLIN Research Center (TDTU, Vietnam).