Zhiwen Hou | Mathematics | Best Researcher Award

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Zhiwen Hou | Mathematics | Best Researcher Award

Mr. Zhiwen Hou Chongqing University, China

Z. Hou is an emerging expert in electrical engineering and sustainable energy systems, currently pursuing a Ph.D. in Electrical Engineering at the University of Cincinnati. With a dual undergraduate degree in Electrical Engineering and Business Administration from Chongqing University, Hou combines technical precision with strategic insight to develop intelligent, low-carbon energy solutions. Their research integrates machine learning with grid forecasting, energy optimization, and smart load management, aiming to revolutionize the transition toward sustainable power systems. Hou has worked as an Algorithm Engineer at Sichuan Energy Internet Research Institute, Tsinghua University, and as a Research Assistant at Chongqing University, contributing to advanced simulation and optimization of manufacturing and energy systems. Their international academic exposure at the University of Oxford and University of Cambridge reflects a commitment to global collaboration and interdisciplinary innovation. An active scholar and reviewer, Hou is recognized for publishing in reputable journals and contributing to practical applications of energy technologies.

Publication Profile

google scholar

Education

Z. Hou is currently completing a Ph.D. in Electrical Engineering at the University of Cincinnati (2021–2025), focusing on intelligent energy systems and low-carbon technology transitions. This research bridges engineering innovation with economic viability to advance smart grid sustainability. Hou earned a dual bachelor’s degree in Electrical Engineering and Business Administration from Chongqing University (2014–2018), where their academic foundation fused technical and managerial perspectives. Their undergraduate focus emphasized creating practical, data-driven solutions for energy challenges through a combination of engineering methodologies and business analytics. Hou also participated in high-profile international academic programs. At the University of Oxford, they completed the “New Frontiers of Science” course, engaging in advanced studies across engineering and computer science. At the University of Cambridge, they took part in the “Big Data and Financial Technology” program, gaining insights into analytics-driven financial systems. This diverse educational background empowers Hou to integrate technical depth with business strategy.

Experience

Z. Hou has rich interdisciplinary professional experience in smart energy systems, AI optimization, and manufacturing logistics. As a Research Assistant at Chongqing University (2022–2023), Hou developed discrete manufacturing simulations using Tecnomatix and Matlab, enhancing AGV logistics planning and operational efficiency through machine learning. They also contributed as an author and peer reviewer for journals under Springer Nature. Prior to that, Hou served as an Algorithm Engineer at the Sichuan Energy Internet Research Institute, Tsinghua University (2018–2021), where they led research on new power systems for the Guangzhou Power Supply Bureau. Their role included data-driven electricity price prediction, system performance modeling, and managing renewable integration into power grids. Hou’s technical leadership in developing smart storage and energy management strategies demonstrated a strong ability to align innovations with industry goals. Their work has consistently fused engineering, AI, and analytics to address complex energy challenges, with a focus on sustainability and system resilience.

Awards and Honors

While formal award titles are not listed, Z. Hou has earned professional recognition through academic publications in high-impact, peer-reviewed journals, including Sustainability and Energy Reports—both indexed in JCR with significant impact factors. As first and corresponding author on several publications, Hou has demonstrated academic leadership and deep subject matter expertise. They have also served as a peer reviewer for journals under the Springer Nature group, contributing expert insights to evaluate and improve submissions on topics such as logistics optimization and manufacturing systems. These responsibilities are typically entrusted to seasoned researchers and highlight Hou’s recognized competency in both academia and industry. Furthermore, Hou’s selection to participate in academic enrichment programs at the University of Oxford and University of Cambridge reflects their outstanding academic performance and commitment to global research excellence. These experiences showcase their intellectual versatility, international engagement, and leadership in the fields of electrical engineering and sustainable energy systems.

Research Focus

Z. Hou’s research focuses on the intersection of electrical engineering, machine learning, and sustainable energy systems. Their Ph.D. work at the University of Cincinnati targets the development of intelligent power load forecasting models using advanced neural networks and hybrid machine learning methods. Hou seeks to optimize smart grid operations by accounting for real-time variables and frequency-domain dynamics, which improve data imputation and decision-making under uncertainty. Their work explores integrating low-carbon technologies with economic frameworks, ensuring practical and scalable deployment of renewable resources. Through previous roles, Hou contributed to the design and integration of renewable energy systems and analyzed virtual power plant efficiency using regression analysis. In manufacturing contexts, Hou optimized logistics using Tecnomatix and Matlab, linking energy strategies with process improvement. This holistic approach combines technical innovation with strategic management, empowering energy and industrial systems to become smarter, greener, and more cost-effective—supporting the global transition toward sustainable and resilient infrastructure.

Publication Top Notes

  • 🧠 Enhancing smart grid sustainability: using advanced hybrid machine learning techniques… – Sustainability, 2024.

  • 🔁 Short-term power load forecast using OOA-optimized bidirectional LSTM with spectral attention… – Energy Reports, 2024.

  • 🌱 Green transition and financial resilience: exploring the intricate dynamics between corporate low-carbon behavior… – Global NEST Journal, 2024.

  • ⛵ Establishment of second-hand sailboats price prediction model based on random forest… – IEEE ICDSCA, 2023.

  • ⚡ Research on grid reactive power and voltage partition control method based on regional boundary decoupling… – IEEE ICEDCS, 2022.

Christos Kountzakis | Mathematics | Best Research Article Award

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Christos Kountzakis | Mathematics | Best Research Article Award

Dr Christos Kountzakis, University of the Aegean, Greece

Dr. Christos E. Kountzakis is an accomplished Assistant Professor of Mathematical Economics at the University of the Aegean, Greece. Born on July 9, 1977, in Amaroussion Attikis, he specializes in advanced topics at the intersection of mathematics, economics, and risk theory. With an academic journey deeply rooted in applied and theoretical mathematics, Dr. Kountzakis has contributed significantly to areas like coherent risk measures and economic modeling. He has worked with prestigious institutions such as the University of Vienna and Cyprus University of Technology, enhancing his research portfolio across borders. Known for his academic rigor and analytical mindset, Dr. Kountzakis has published extensively in high-impact journals, addressing topics like Pareto efficiency, risk management in Banach spaces, and actuarial solvency. His contributions not only reflect his deep understanding of abstract mathematics but also its real-world implications in economics and finance.

Publication Profile

google scholar

Education

Dr. Christos Kountzakis holds a Ph.D. in Mathematics from the National Technical University of Athens, completed in September 2006. His doctoral dissertation titled “Applications of the Partially Ordered Linear Spaces in Mathematical Economics” was supervised by Professor I.A. Polyrakis. Prior to his doctorate, he earned a Master of Science (M.Sc.) in Applied Mathematics from the same institution in July 2001, with an impressive grade of 9.46/10. He began his academic journey with a Bachelor of Science (B.Sc.) in Mathematics from the National and Kapodistrian University of Athens in September 1999, graduating with a solid grade of 7.73/10. His academic background reflects a consistent focus on mathematical theory, optimization, and economic applications, forming the foundation for his later research in risk management, actuarial science, and financial mathematics. These qualifications have underpinned his professional trajectory and research contributions to mathematical economics.

Experience

Dr. Kountzakis began his academic career as an Adjunct Lecturer in Financial Mathematics at the University of the Aegean (2007–2010), progressing to a Lecturer and later Assistant Professor in Mathematical Economics by 2015. He currently serves as a tenured-track Assistant Professor at the same department. His international experience includes serving as a Research Assistant at the University of Vienna in 2014, under the mentorship of Prof. Walter Schachermayer. He also collaborated with the Cyprus University of Technology on projects related to smart specialization and social networks (2012–2014). His experience spans teaching, applied research, and academic publishing in finance and mathematical modeling. His strong presence in academic roles is complemented by his engagement in interdisciplinary research, making significant contributions to economic theory, financial derivatives, and risk analysis.

Awards and Honors

While specific named awards are not explicitly listed, Dr. Christos Kountzakis has achieved notable academic honors through his appointments and collaborative research roles. His selection for a competitive research assistantship at the University of Vienna in 2014, under the guidance of the internationally recognized mathematician Prof. Walter Schachermayer, reflects his academic distinction. Additionally, his collaborations with the Cyprus University of Technology on nationally relevant projects such as “Smart Specialization in Cyprus” underscore the applied value and recognition of his expertise. His consistent publication record in top-tier journals such as Mathematical Finance, Journal of Mathematical Economics, and Journal of Mathematical Analysis and Applications further affirms his reputation in the academic community. These achievements highlight his dedication to advancing mathematical economics and reflect a career marked by research excellence and institutional trust.

Research Focus

Dr. Christos E. Kountzakis’s research lies at the intersection of mathematical economics, risk theory, and functional analysis. His work explores advanced areas such as coherent and convex risk measures, Pareto efficiency, arbitrage pricing, and the geometry of Banach and ordered vector spaces. With strong foundations in areas classified by the AMS such as 46Axx (topological vector spaces), 60Gxx (stochastic processes), and 91Bxx (economic theory), he applies rigorous mathematical tools to solve complex problems in finance and insurance. His research interests include optimization in infinite-dimensional spaces, deviation measures, actuarial solvency, and market completeness. He is also engaged in exploring no-arbitrage pricing in incomplete markets and the application of ordered structures in normed spaces. His work is both theoretical and applied, providing insights that are valuable to mathematical theorists and financial practitioners alike.

Publication Top Notes

  1. 📘 Geometry of cones and an application in the theory of Pareto efficient points

  2. 📘 The completion of security markets

  3. 📘 Super-lattice partial order relations in normed linear spaces

  4. 📘 Generalized Coherent Risk measures

  5. 📘 No-arbitrage pricing of non-marketed claims in multiperiod markets

  6. 📘 Non-replication of options

  7. 📘 Risk measures on ordered non-reflexive Banach spaces

  8. 📘 Risk measures in ordered normed linear spaces with non-empty cone interior

  9. 📘 The completion of real-asset markets by options

  10. 📘 On efficient portfolio selection using convex risk measures

  11. 📘 The restricted convex risk measures in actuarial solvency

  12. 📘 An aspect of restricted coherent risk measures and actuarial solvency

  13. 📘 Coherent Risk Measures in General Economic Models and Price Bubbles

  14. 📘 Notes on the solution of the risk minimization problem under constant investor’s endowment

  15. 📘 Deviation measures on Banach spaces and applications

  16. 📘 Questions on the geometry of finite coherence

Atta Ullah | Mathematics | Best Researcher Award

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Atta Ullah | Mathematics | Best Researcher Award

Atta Ullah,Mathematical and Statistical Sciences, Institute of Autonomous System, Department of Fundamental and Applied Sciences, Universiti Teknologi PETRONAS, 32610, Seri Iskandar, Perak Darul Ridzuan, Malays,,Malaysia

Atta Ullah 🎓 is a dedicated PhD scholar in Applied Mathematics at Universiti Teknologi PETRONAS, Malaysia. Born on April 15, 1995, in Khyber Pakhtunkhwa, Pakistan, he excels in mathematical modeling, numerical analysis, and computational mathematics. His research focuses on real-world problem-solving, including mathematical biology and differential equations. With experience as a lecturer and research assistant, he actively contributes to academia. He has published extensively in reputed journals 📚 and serves as a reviewer for international journals. His goal is to advance applied mathematics and inspire future researchers. 🌟

Publication profile

scopus

Education

Atta Ullah holds a PhD in Applied Mathematics from Universiti Teknologi PETRONAS, Malaysia (ongoing). He earned his MS in Mathematics (Applied Mathematics) from the University of Science & Technology Bannu (2018-2020) with an outstanding CGPA of 4.0/4.0 (91.75%). His BS in Numerical Sciences (2013-2017) from the University of Peshawar focused on calculus, algebra, topology, and numerical analysis. He completed his F.Sc (2011-2013) from The City College of Arts and Science, Peshawar, scoring 75.09%, and S.S.C (2009-2011) from Govt. High School Matta Qilla, scoring 75.02%. Additionally, he obtained a Teaching Certificate from AIOU Islamabad with 70.2% marks (2016-2017). His academic excellence was recognized with the First Position Award in MPhil Applied Mathematics. 🏆

Experience

Atta Ullah has significant experience in research and teaching. Currently, he is a Research & Teaching Assistant at Universiti Teknologi PETRONAS, Malaysia, where he assists master’s students, teaches undergraduate mathematics, and conducts high-level research 📊. Previously, he worked as a Research Assistant & Visiting Lecturer (2018-2022) at the University of Science & Technology Bannu, Pakistan, where he guided students in applied mathematics and maintained research labs. He also served as a Mathematics Lecturer at Dreams College, Timergara, KPK, Pakistan, mentoring students and fostering a strong mathematical foundation. His research contributions include exploring mathematical models, numerical simulations, and optimization techniques. He is also a reviewer for esteemed journals. His passion for academia and dedication to research make him a valuable contributor to the field of applied mathematics. 🔬

Awards And Honors

 

Atta Ullah’s academic excellence has been recognized with First Position in MPhil Applied Mathematics 🏅. His research has been published in ISI & Scopus-indexed journals, receiving international recognition 📚. As a reviewer for reputed journals, he has contributed to maintaining high academic standards. He has also been honored for his exceptional teaching and research skills, guiding students in applied mathematics. His outstanding CGPA (4.0/4.0) in MS Mathematics reflects his dedication to academia. His commitment to mathematical modeling and computational analysis has led to multiple research publications in high-impact journals. He continues to strive for excellence, contributing to mathematical sciences and inspiring the next generation of researchers. 🌍

Research Focus

Atta Ullah’s research primarily focuses on mathematical modeling, applied and computational analysis, and real-world problem-solving. His expertise includes sensitivity analysis, numerical simulations, first-order non-linear ordinary differential equations, and mathematical biology. His work explores optimal control techniques for complex systems, including studies on marijuana consumption models, Brinkman-type nanofluids, and infectious disease modeling. He integrates applied mathematics with computational tools to enhance predictive accuracy and optimize system performance. His contributions extend to partial differential equations, hydrodynamics, and functional analysis. His research aims to provide data-driven solutions for scientific and engineering challenges. 🧮

 

Publications

📖 “Sensitivity analysis-based control strategies of a mathematical model for reducing marijuana smoking,” AIMS Bioengineering, Cited by: XX, Year: 2023.
📖 “Sensitivity Analysis-Based Validation of the Modified NERA Model for Improved Performance,” JARASET, Cited by: XX, Year: 2023.
📖 “Mathematical Model with Sensitivity Analysis and Control Strategies for Marijuana Consumption,” PDEAM, Cited by: XX, Year: 2024.
📖 “A mathematical model with control strategies for marijuana smoking prevention,” ERA, Cited by: XX, Year: 2024.
📖 “Comprehensive Validation: Enhancing the Modified NERAH Model via Rigorous Sensitivity Analysis,” JARASET, Cited by: XX, Year: 2024.
📖 “Analyzing the Dynamics of the NERAH Model via Optimal Control Technique,” Contemporary Mathematics, Cited by: XX, Year: 2024.
📖 “A Time-Fractional Model for Brinkman-Type Nanofluid with Variable Heat and Mass Transfer,” CIJCA, Cited by: XX, Year: 2022.
📖 “Exploring the Effectiveness of an Optimal Control Model for Marijuana Consumption,” Infectious Disease Modelling, Cited by: XX, Year: 2024.

Mfano Charles | Mathematics | Most Reader’s Article Award

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Mfano Charles | Mathematics | Most Reader’s Article Award

Ms Mfano Charles ,The Nelson Mandela African Instution of,Tanzania

Thadei D.S. Linus is a PhD candidate in Mathematics and Computational Science at The Nelson Mandela African Institution of Science and Technology (2022–present). He holds an MSc in Mathematical and Computer Science (2019) and a BSc in Mathematics & Physics Education (2012). His research focuses on Mathematical Epidemiology, Population Dynamics, Machine Learning, and Optimal Control. Skilled in Python, MATLAB, and Mathematica, he specializes in modeling and analyzing complex systems. His work includes prey-predator modeling and data-driven decision-making. 📊🔬 His 2018 publication explores harvested prey-predator systems with prey refuge. 📖

Publication Profile

Google scholar

Education

[Name] is a dedicated researcher pursuing a PhD in Mathematics and Computational Science & Engineering (2022–present) at The Nelson Mandela African Institution of Science and Technology 🏛️. He holds a Master’s degree (2017–2019) in Mathematical and Computer Science & Engineering, specializing in Applied Mathematics and Computational edSciences 🎓. His academic journey began with a B.Sc. in Mathematics & Physics Education (2009–2012) at Mwenge University College of Education. Earlier, he earned his Advanced Certificate of Secondary Education (2006–2008) at Tarime Secondary School and his Certificate of Secondary Education (2002–2005) at Busolwa Secondary School. 📖✨

Career Objectives

Physics and mathematics play a crucial role in solving diverse physical problems across various fields, including Biology 🧬, Education 📚, Environment 🌍, Health 🏥, Population 📊, Science, and Technology 💡. Advanced computational techniques enable the design, construction, and analysis of models using large datasets 📈 with powerful software tools like PYTHON 🐍, MATLAB ⚙️, and MATHEMATICA 🔢. Effective data mining and analysis help extract meaningful insights, allowing professionals to make informed decisions. Presenting findings through reporting tools ensures clarity and strategic application, contributing to research, innovation, and efficient problem-solving across multiple disciplines.

Research and Publications

Mfano Charles 📖, along with Thadei D.S. and Linus, published a significant research paper in 2018 titled “Modelling and Numerical Simulation of Harvested Prey–Predator System Incorporating a Prey Refuge” 🦌🐅. This study appeared in the Journal of Mathematical Theory and Modelling (Vol. 8, No. 8, pp. 148-160) 📚, offering valuable insights into ecological dynamics. Additionally, his Master’s thesis focused on “Modelling Optimal Control of Harvested Prey–Predator System Incorporating a Prey Refuge” 🎯📊. His work contributes to mathematical modeling, providing solutions for sustainable resource management and ecological balance 🌿⚖️

Experience

Since 2019, Mfano Charles has been serving as an Assistant Lecturer at the College of Business Education (CBE) 🎓, where he delivers lectures, seminars, and tutorials 📖, evaluates examinations 📝, supervises student projects 📊, and contributes to research and public service. From 2012 to 2014, he worked as a Teaching Assistant at Wama-Nakayama Girls Secondary School and Agape Lutheran Junior Seminary 🏫, teaching Advanced Mathematics and Physics 🧮⚛️. His responsibilities included grading assessments ✅, conducting extra tutorials 📚, and mentoring student clubs 🎯. His dedication to education and research continues to impact students and academia positively.

Awards

Mfano Charles has received several prestigious awards in recognition of his academic excellence and contributions 🎖️. In 2022, he was honored with a Scholarship Award from the College of Business Education (CBE) 🎓. In 2017, he secured a scholarship from the African Development Bank (AfDB) 🌍🏦 to pursue an MSc. in Applied Mathematics and Computational Science 🧮💻. His journey of excellence began in 2005, when he was named the Best Student in Mathematics at Busolwa Secondary School 🏅📚. These achievements highlight his dedication to mathematics, research, and continuous learning 📖🚀

Presentations

Mfano Charles has continually enhanced his expertise through specialized training and workshops 📚🎓. In 2018, he completed a course on Variation of Calculus at the University of Dar es Salaam (UDSM) 🧮📖, strengthening his mathematical modeling and analytical skills. In 2022, he participated in the Working Life Interaction in Modelling and Data Skills (WOLIMODS) program 📊💻, a collaborative initiative involving NM-AIST, UDSM, the University of Rwanda, and Finnish universities 🌍🏫. This program enriched his knowledge in data science, modeling, and real-world problem-solving, equipping him with cutting-edge skills for research and academia.

Research Focus

Mfano Charles specializes in mathematical modeling and numerical simulations 🧮💻, focusing on prey-predator dynamics in ecological systems 🌿🐺. His research explores how harvesting and prey refuge impact population sustainability 📉📈. Through mathematical theories and simulations, he aims to develop optimal control strategies to balance species conservation and resource use ⚖️🌍. His Master’s thesis delves into optimizing harvested prey-predator models, incorporating a prey refuge to ensure ecosystem stability 🏞️🔬. His expertise contributes to applied mathematics, ecology, and sustainable resource management, making his research crucial for biodiversity conservation and ecological forecasting .

Publication top notes

Mathematics teaching and learning activity model for blended instructions in Tanzanian higher education

Parameters estimation and uncertainty assessment in the transmission dynamics of rabies in humans and dogs

Mathematical model to assess the impact of contact rate and environment factor on transmission dynamics of rabies in humans and dogs

The Effect of Maximum Residue Levels (MRLs) on Fresh Agricultural Exports in Tanzania: Evidence from Horticultural Exports in Arusha

Modelling optimal control of harvested prey predator system incorporating a prey refuge

Rania Saadeh | Mathematics | Best Researcher Award

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Prof. Rania Saadeh | Mathematics | Best Researcher Award

Academic at Zarqa University, Jordan

Rania Saadeh is an accomplished mathematician with a strong background in academia. She holds a Ph.D. in Mathematics specializing in Applied Mathematics, with a GPA of 3.8, and serves as an Associate Professor of Mathematics at Zarqa University. Rania is committed to innovative teaching methods and impactful research, aiming to inspire curiosity and drive progress in the field of mathematics. With a Master’s degree in Mathematics and a Bachelor’s degree in Mathematics, both with excellent GPAs, Rania has a solid foundation in the subject. Her work experience includes roles as a part-time Lecturer and Lecturer, where she shared her knowledge and expertise with students. Rania has extensive experience teaching a variety of mathematics courses, including Calculus, Linear Algebra, Number Theory, and Probability Theory. Her dedication to teaching and research, coupled with her passion for mathematics, has made her a respected figure in the field.

Professional Profiles:

📚 Education:

Rania Saadeh has pursued an extensive academic journey in mathematics, culminating in a series of impressive achievements. She holds a Doctor of Philosophy (Ph.D.) in Mathematics, specializing in Applied Mathematics, where she maintained a remarkable GPA of 3.8. Prior to her doctoral studies, Rania completed a Master of Science (MSc) in Mathematics, focusing on Applied Mathematics, with a GPA of 94%. Her undergraduate studies include a Bachelor of Science (BSc) in Mathematics, where she achieved an outstanding GPA of 96%. Throughout her educational career, Rania has demonstrated a deep passion for mathematics and a strong commitment to academic excellence. Her advanced degrees and exceptional academic performance underscore her expertise and dedication to the field of mathematics.

📝Work Experience:

Rania Saadeh has built a strong foundation in academia through her work experience in mathematics education. She currently serves as an Associate Professor of Mathematics at Zarqa University, a position she has held since 2022. In this role, Rania is deeply involved in teaching mathematics courses and conducting research in her field. Her commitment to innovative teaching methods and inspiring students has made her a valuable asset to the university. Prior to her current position, Rania gained valuable experience as a Part-time Lecturer from 2016 to 2022, where she contributed to the academic development of students. Before that, she worked as a Lecturer from 2014 to 2015, further refining her teaching skills and engaging with students at a more profound level. Throughout her career, Rania’s passion for mathematics and her dedication to academic excellence have been evident. Her work experience highlights her commitment to teaching and research, making her a respected figure in the field of mathematics education.

📊Teaching  :

Rania Saadeh has extensive experience in academic teaching, spanning a wide range of mathematics courses. She has taught Calculus (1, 2, 3, 4), Linear Algebra (1, 2), Number Theory, Logic and Set Theory, Ordinary Differential Equations (1 & 2), Methods in Applied Mathematics, Numerical Methods, Principles in Applied Mathematics, Partial Differential Equations, Complex Analysis, Advanced Complex Analysis, Mathematical Statistics, and Probability Theory. Rania’s expertise in these subjects has enabled her to effectively impart knowledge and skills to her students, helping them develop a strong foundation in mathematics. Her dedication to teaching and her passion for mathematics have made her a highly respected educator in her field.

 

📚Publications :

Modeling COVID-19 spread and non-pharmaceutical interventions in South Africa: A stochastic approach

Authors: M Ali, SM Alzahrani, R Saadeh, MA Abdoon, A Qazza, N Al-kuleab, …

Journal: Scientific African 24

Citations: Not specified

Year: 2024

Role of catalytic reactions in a flow-induced due to outer stationary and inner stretched coaxial cylinders: An application of Probabilists’ Hermite collocation method

Authors: J Madhu, R Saadeh, K Karthik, RSV Kumar, RN Kumar, RJP Gowda, …

Journal: Case Studies in Thermal Engineering 56

Citations: Not specified

Year: 2024

Master generators: A novel approach to construct and solve ordinary differential equations

Authors: M Abu-Ghuwaleh, R Saadeh, R Saffaf

Journal: Mathematics and Computers in Simulation 218

Citations: 1

Year: 2024

Predicting the thermal distribution in a convective wavy fin using a novel training physics-informed neural network method

Authors: K Chandan, R Saadeh, A Qazza, K Karthik, RS Varun Kumar, RN Kumar, …

Journal: Scientific Reports 14 (1)

Citations: Not specified

Year: 2024

Mathematical modeling and stability analysis of the novel fractional model in the Caputo derivative operator: a case study

Authors: R Saadeh, MA Abdoon, A Qazza, M Berir, FEL Guma, N Al-Kuleab, …

Journal: Heliyon

Citations: Not specified

Year: 2024

A Fractional Study for Solving the SIR Model and Chaotic System

Authors: M Berir, R Saadeh, MA Abdoon, A Qazza, D Almutairi

Journal: IAENG International Journal of Applied Mathematics 54 (2)

Citations: Not specified

Year: 2024

Effective methods for numerical analysis of the simplest chaotic circuit model with atangana–baleanu Caputo fractional derivative

Authors: ABM Alzahrani, R Saadeh, MA Abdoon, M Elbadri, M Berir, A Qazza

Journal: Journal of Engineering Mathematics 144 (1)

Citations: 4

Year: 2024

The Mohanad Transforms and Their Applications for Solving Systems of Differential Equations

Authors: R Saadeh, A Alshawabkeh, R Khalil, MA Abdoon, N Taha, DK Almutairi

Journal: European Journal of Pure and Applied Mathematics 17 (1)

Citations: 1

Year: 2024

Applying Conformable Double Sumudu–Elzaki Approach to Solve Nonlinear Fractional Problems

Authors: SA Ahmed, R Saadeh, A Qazza

Year: 2024

Solving Nonlinear Volterra Integral Equations by Mohanad Decomposition Method

Authors: R Saadeh, R Khalil

Journal: WSEAS Transactions on Mathematics 23

Citations: Not specified

Year: 2024

Exploring analytical results for (2+ 1) dimensional breaking soliton equation and stochastic fractional Broer-Kaup system

Authors: FL Hasan, MA Abdoon, R Saadeh, A Qazza, D Khalid

Journal: AIMS Mathematics 9 (5)

Citations: Not specified

Year: 2024

A new approach in handling one-dimensional time-fractional Schrödinger equations

Authors: A El-Ajou, R Saadeh, MA Dunia, A Qazza, Z Al-Zhour

Journal: AIMS Mathematics 9 (5)

Citations: Not specified

Year: 2024