Gowrisankar Arulprakash & Kishore Bingi 
Mathematical Modelling of Complex Patterns Through Fractals and Dynamical Systems [PDF ebook] 

Exploring Initial Value Problems in Fractal Delay Equations.- Multi-Level Fractal Analysis with Applications.- Topological Indices on Fractal Patterns.- The Smoothness of Multifractal Hewitt-Stromberg Dimensions.- Bivariate Rational Fractal Model with Function Values.- Epidemiology Analysis.- Nonlinear Thermal Radiation in Dynamic Energy Systems.- : Dynamic Queueing System with Time Based Uncertainty.- Dynamical Properties of Constant Uncertainty System with Optimization.- Dynamical Systems and its Complexity.- Fractal-Based Time Series Modelling.- Fractal Approaches to Climate Dynamics.

A. Gowrisankar received his Ph.D degree (in Mathematics) from the Gandhigram Rural Institute (Deemed to be University), Gandhigram, Dindigul, India, in 2017. He was employed as an institution postdoctoral fellow at the Indian institution of Technology Guwahati (IITG), in Guwahati, Assam, India. He is currently employed as an Assistant Professor in the Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, Tamil Nadu, India with six years of experience. His broad areas of research include Fractal Analysis,  Fractal Interpolation Functions, Fractional Calculus, Nonlinear Dynamics and Climate Change. He has contributed to more than 40 research articles published in reputable international journals. He was successful in getting three books published by the following publishers: CRC Press, 2019, Springer: Complexity, 2021 and Spinger Briefs in Complexity, 2024. He was one of the editors for two edited books in CRC Press and Taylor & Francis Group. He served as a guest editor for two special issues in ‘The European Physical Journal Special Topics’. He is acting as a reviewer for more than 10 international journals and has received the title of ‘Distinguished EPJ Referees -2021’. Recently, he has received a TARE fellowship under SERB, Govt. of India, for the period 2024 — 2026.
Kishore Bingi received the B.Tech. Degree in Electrical and Electronics Engineering from Acharya
Nagarjuna University, India, in 2012. He received the M.Tech. Degree in Instrumentation and Control
Systems from the National Institute of Technology Calicut, India, in 2014, and a Ph D in Electrical and
Electronic Engineering from Universiti Teknologi PETRONAS, Malaysia, in 2019. From 2014 to 2015, he
worked as an Assistant Systems Engineer at TATA Consultancy Services Limited, India. From 2019 to 2020, he worked as Research Scientist and Post-Doctoral Researcher at the Universiti Teknologi PETRONAS, Malaysia. From 2020 to 2022, he served as an Assistant Professor at the Process Control Laboratory, School of Electrical Engineering, Vellore Institute of Technology, India. Since 2022 he has been working as a faculty member at the Department of Electrical and Electronic Engineering at Universiti Teknologi PETRONAS, Malaysia. His research area is developing fractional-order neural networks, including fractional-order systems and controllers, chaos prediction and forecasting, and advanced hybrid optimization techniques. He is an IEEE and IET Member and a registered Chartered Engineer (CEng) from Engineering Council UK. He serves as an Editorial Board Member for the International Journal of Applied Mathematics and Computer Science and Academic Editor for Mathematical Problems in Engineering and the Journal of Control Science and Engineering.
 
Cristina Serpa has a degree in Applied Mathematics — Fundamental Applications, a Master’s and a Ph D in
Mathematics, in Mathematical Analysis, from the Faculty of Sciences of the University of Lisbon. She is an invited professor in the Mathematics Department of the Instituto Superior de Engenharia de Lisboa of the Instituto Politécnico de Lisboa.Her teaching duties are usually focused on calculus curricular units for engineering. She is an integrated member of CMAFc IO — Center for Mathematics, Fundamental Applications and Operational Research, of the University of Lisbon and collaborates with the Portuguese Mathematical Society. He researches Fractals at the fundamental theoretical level and in the context of their applications. He created the Fractal Regression method, developing corresponding software to obtain fractal functions from real data.