She received her B.E., M.E., and Dr.Eng. degrees from the Department of Computer Science at Korea University in 1988, 1990, and 1994, respectively. She completed her post-doctoral research in the Department of Computer Science at the University of Massachusetts Amherst from 1999 to 2000.
Since 1996, she has served as an Assistant Professor and later as an Associate Professor in the School of Engineering at Suwon University, and she has been a Professor at Gachon University since 2015. She served as the Chair of the Korean Society of Intelligent Systems. Since 2015, she has been leading the AI and Smart City Laboratory at Gachon University. Her areas of expertise include AI, multi-agent systems, smart cities, standardization, and brain modeling. She was a member of the Presidential Committee on Smart Cities from 2018 to 2022. Since 2018, she has served as the Chair of the AI Standards Committee in Korea. She is also an editor for several journals, including IEEE, Elsevier publications, Sensors, Bioengineering, and AI journals. Currentyl, she is serving as the Editor-in-Chief of a Journal of Artificial Intelligence Research and Applications in Korea.

Dumitru Baleanu is an internationally recognized scholar in the fields of applied mathematics, fractional calculus, and nonlinear dynamical systems. He currently serves as a professor in the Department of Computer Science and Mathematics at the Lebanese American University in Beirut, Lebanon. Throughout his academic career, he has made significant contributions to the development of fractional dynamics and its applications in science and engineering. His work particularly focuses on the modeling and analysis of complex systems using fractional differential equations.
Professor Baleanu received his Ph.D. in Physics from the Institute of Atomic Physics in Romania in 1996. His doctoral research investigated mathematical and physical aspects of spaces with spin variables. Prior to his Ph.D., he completed his M.Sc. in Physics at the University of Bucharest and his B.Sc. at the University of Craiova. After completing his doctoral studies, he held several research positions at prominent research institutions in Romania, including the National Institute for Laser, Plasma and Radiation Physics and the Institute of Space Sciences in Bucharest. During this period, he advanced through different academic ranks and established a strong international research profile.
His research interests cover a wide range of topics including fractional differential equations, nonlinear dynamical systems, control theory, mathematical physics, Lie symmetry analysis, and dynamic systems on time scales. Professor Baleanu has published extensively in leading international journals and has authored or co-authored several influential books on fractional calculus and mathematical modeling. His scientific contributions have received worldwide recognition, and he is widely regarded as one of the leading researchers in fractional calculus and applied mathematical modeling.

Professor Dr Huseyin Seker is a research-oriented and enterprise-focused academic and manager with both academic and industry experiences in data-driven digital transformation, data science, artificial intelligence (AI), machine learning (ML), and emerging & disruptive technologies & systems. He completed his PhD in Biomedical Computing at Coventry University (UK) in 2005 (fully funded by Coventry University in the UK). He has published well over 100 peer-reviewed articles, and developed and deployed several data-driven AI/ML tools in academia and industry, and has been involved with a portfolio of collaborative research, enterprise and teaching & learning projects of over £25M as PI, Co-I and international researcher in collaboration with universities and companies in the UK and abroad. He is recognised among the top 1% of global researchers in Bioinformatics for productivity by ScolarGPS. He was one of the founding members of the UK’s flagship project “The Institute of Coding”, under which the activities (e.g., “Teach the Nation to Code”, “Data Science for Everyone”) he developed and organised led to the successful training program for the next generation of digital transformation leaders, and were supported, attended, and highly commented by several organisations, including Members of Parliament in the UK.
In the United Kingdom, in addition to his successful research & knowledge exchange and teaching & learning activities, he has had an extensive successful leadership career in the UK Higher Education sector, serving as the Head of Enterprise and Engagement, the Faculty Head of Research Operations & Research Students and Associate Dean for Research and Enterprise at several UK-based institutes. Under his leadership, he has established several strategic partnerships with institutes and companies around the world, which have resulted in increased income and notable impacts on the economy, society, and environment.
Professor Seker has actively got involved with enterprise organisations, contributing to regional and national developments as an advisory board member. He has also served as a member of the judging panel for industry excellence awards in digitech. He is currently a member of UK-based AI Forge’s AI start-up selection committee. He has also co-founded BuboAI, an AI Startup with a focus on fintech in the UK.
Professor Seker has recently joined the University of Sharjah (UAE) working as a Professor and Head of the Department of Information Systems of the College of Computing and Informatics.

Maíra Aguiar is a theoretical epidemiologist with a strong background in applied mathematics and statistics, specializing in the modeling of infectious diseases and public health dynamics. She obtained her Master’s degree in Statistics Applied to Biology and Public Health from the University of Lisbon in 2007, followed by a double European Ph.D. in 2012: in Population Biology from the University of Lisbon and in Life Sciences from Vrije Universiteit Amsterdam. Her doctoral training combined nonlinear dynamics, population biology, and biostatistics, laying the foundation for an interdisciplinary research career.
With over two decades of experience in mathematical epidemiology, Dr. Aguiar has developed and applied deterministic, stochastic, and data-driven models to understand the transmission, control, and burden of infectious diseases, including dengue, Zika, and COVID-19. Her work integrates mechanistic modeling, statistical inference, and, more recently, machine learning and hybrid AI approaches, with a strong emphasis on policy relevance and real-world applicability. She has collaborated closely with public health authorities in Europe and beyond, contributing to vaccine impact assessments, risk mapping, and epidemic preparedness strategies.
Since 2020, Dr. Aguiar has led the Mathematical and Theoretical Biology (MTB) group at the Basque Center for Applied Mathematics (BCAM) in Bilbao, Spain, where she is an Ikerbasque Research Associate Professor and Ramón y Cajal Researcher. The MTB group brings together mathematicians, computer scientists, physicists, and health scientists to develop predictive models and decision-support tools for public health.
Dr. Aguiar has authored over 100 peer-reviewed publications across mathematical biology, epidemiology, and public health, and is actively involved in editorial service, conference organization, and the training of early-career researchers. Her work is driven by the integration of theory, data, and public-health impact.

Gerhard-Wilhelm Weber is professor at Poznan University of Technology, Poland. His research covers areas of mathematics, statistics, optimization, optimal control, stochastics, operational research, management science, data science, machine learning, inverse problems, remote sensing, economics, finance, game theory, neuroscience, biology, medicine, psychoanalysis, development, physics, art, languages, philosophy, religions, cosmology and Christianity. He replaced professorships at Cologne University, TU Chemnitz, and was professor at IAM, METU, Ankara, has affiliations worldwide and is in many editorial boards. He serves in IFORS, as EURO Conference Advisor, IFORS Fellow, honorary chair of EURO Working Groups, in IFORS Developing Countries Online Resources and IFORS News. He recieved the EURO Distinguished Service Award in 2025.

Jordan Hristov is a Professor of Chemical Engineering. He graduated with as M.Sc.in Electrical Engineering, Technical University, Sofia, 1979. He was awarded Ph.D. in Chemical Engineering, University of Chemical Technology and Metallurgy, Sofia, Bulgaria, 1994 and DSc, in Chemical Engineering, University of Chemical Technology and Metallurgy, Sofia, Bulgaria, 2018. His areas of interest are Transport Phenomena, Mathematical Modelling, Fractional Calculus, Heat Transfer, Approximate analytical methods, and Dimensional analysis. With 185 research papers in various journals of high repute and listed by Web of Science, he got total citations of more than 3450 with h-index of 24 (Web of Science). In 2020 he was enlisted in the Stanford list of highly cited scholars among the first 1% (at 318 position in Chemical Engineering).In 2021 , 2022, 2023 and 2024he has enlisted again in the prestigious list of highly cited scholars. He was visiting professor in many universities abroad, among them: Polytechnic University of Catalonia, Spain (2002), University of Seville, Spain (2007) University of Northern Rio de Janeiro, Brazil (2009, 2010), Institute of Process Engineering, China Academy of Sciences, 2011, Tsinghua University (2018), University of Nancy, France (2021),etc. Professor Jordan Hristov is a Member of the Editorial Boards of Thermal Science, Particuology, Fractal and Fractional, Progress in Fractional Differentiations and Applications. The principle direction of his research in the last decade is related to approximate analytical solutions of non-linear and fractional problems, applications of non-singular fractional operators to non-local problems, fractional viscoelasticity, heat conduction, and non-linear diffusion.
Some representative publications related to his actual research trend are:

• Hristov J., Integral solutions to transient nonlinear heat (mass) diffusion with a power-law diffusivity: a semi-infinite medium with fixed boundary conditions, Heat Mass Transfer, 52 (3) (2016 ) , pp.635-655, DOI: 10.1007/s00231-015-1579-2
• Hristov J., Transient Heat Diffusion with a Non-Singular Fading Memory: From the Cattaneo Constitutive Equation with Jeffrey’s kernel to the Caputo-Fabrizio time-fractional derivative, Thermal Science, 20 (2) (2016), pp.765-770.; DOI:10.2298/TSCI160112019H
• Hristov J., Steady-State Heat Conduction in A Medium with Spatial Non-Singular Fading Memory: Derivation of Caputo-Fabrizio space-fractional derivative with Jeffrey’s kernel and analytical solutionsр Thermal Science, 2017, Vol. 21, No. 2, pp. 827-839
• Hristov J., Transient space-fractional diffusion with a power-law superdiffusivity: Approximate integral-balance approach, Fundamenta Informaticae (IOS Press) , 151 (2017) , 1-4,pp. 371–388 ; DOI 10.3233/FI-2017-1498
• Hristov J., Derivation of fractional Dodson’s equation and beyond: Transient mass diffusion with a non-singular memory and exponentially fading-out diffusivity, Progr. Fract. Differ. Appl. (2017) vol.3, N04, 255-270; doi: 10.18576/pfda/030402