Autorentext

Dr. Fatma Bozkurt is a Professor currently affiliated with the Department of Mathematics and Science Education at Erciyes University. She obtained her Bachelor's degree in Mathematics from Erciyes University in 2002, followed by two Master's degrees: one in Applied Mathematics from Erciyes University and another in Mathematics and Science Education from Hacettepe University in 2005. Dr. Bozkurt earned her Ph.D. in Applied Mathematics from Erciyes University in 2010 and completed a Postdoctoral study at the United Arab Emirates University in 2014. With 18 years of teaching and research experience both in Turkey and internationally--including Germany, the UAE, and Kuwait--she has dedicated her career to advancing education in applied mathematics. Prof. Dr. Bozkurt specializes in developing curricula that align with international standards and meet the evolving expectations of the labor market for Gen-Z and Gen-Alpha, particularly in the context of the 4th Industrial Revolution. Her work integrates principles of globalization and the Sustainable Development Goals (SDG) 2030 into educational frameworks. Her expertise in applied mathematics has led her to successfully build mathematical models that address various medical challenges, including mixed immune-chemotherapeutic treatments for cancer and the spread and control mechanisms of SARS-CoV-2, with findings published in Q1 journals. Prof. Dr. Fatma Bozkurt was a recipient of the TUBİTAK 2211 Ph.D. scholarship and the TUBİTAK 2219 postdoctoral scholarship. She is a proud member of the UNESCO Green Education Partnership, further emphasizing her commitment to sustainable education practices. Additionally, she contributes comprehensive insights and consultancy on sustainability challenges and solutions at COP 29 in Baku, Azerbaijan, 2014.

Klappentext

Complexity in Mathematical Biology for Sustainable Development: Modeling Climate, Disease, and Ecosystems through Difference, Differential, and Fractional Theory introduces new mathematical methods to derive complex modeling solutions for a wide range of engineering and scientific research applications. The book strikes a balance between high-level mathematical theory and technical derivations, offering step-by-step explanations, real-world case studies, and clear introductions to advanced mathematical models. Solutions include modeling and quantifying complexity, with emphasis placed on the growing need for interdisciplinary collaboration, the integration of real-time data into models, and the development of adaptive frameworks challenges such as pandemics, biodiversity loss, and climate uncertainty. The book is designed to meet the needs of a diverse primary audience, from graduate students to professionals in fields such as computer science, public health, environmental policy, applied mathematics, and biotechnology. By providing both theoretical foundations and practical applications, the book equips readers with the skills and knowledge to tackle pressing global challenges through mathematical models, making it a valuable resource for both academic and professional development.