Konul Omarova | Mathematics | Best Research Article Award

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Konul Omarova | Mathematics | Best Research Article Award

Dr. Konul Omarova, Baku Business University, Azerbaijan

Dr. Konul Kamal Omarova is a distinguished mathematician and Associate Professor specializing in Probability Theory and Statistics. Holding a PhD in Mathematics from Baku State University, she has significantly contributed to the development of semi-Markov walk processes and boundary functionals. Her expertise extends to mathematical modeling, stochastic processes, statistical analysis, optimization techniques, and numerical methods. With numerous publications indexed in Web of Science, Dr. Omarova’s research outputs have strengthened the theoretical foundations in applied probability and stochastic processes. Throughout her academic career, she has displayed a strong commitment to advancing scientific knowledge through both independent and collaborative research endeavors. Apart from her academic pursuits, she actively mentors graduate students, guiding them in complex mathematical problem-solving and research methodology. Her scholarly influence is recognized both nationally and internationally, with her works frequently cited in the fields of informatics, control problems, and applied mathematics.

Publication Profile

google scholar

🎓 Education

Dr. Konul Kamal Omarova earned her PhD in Mathematics from the Mechanical-Mathematics Faculty of Baku State University, Azerbaijan. Her academic formation focused on deep theoretical and applied mathematical principles, particularly in the areas of probability theory and stochastic processes. During her doctoral studies, she developed expertise in semi-Markov processes, Laplace transforms, and statistical boundary functionals. Her dissertation involved the investigation of complex boundary problems and fractional integral equations describing stochastic processes. This rigorous academic training laid the foundation for her subsequent scholarly contributions in the field. The comprehensive education provided at Baku State University equipped Dr. Omarova with solid mathematical modeling, optimization, and analytical skills, which she effectively applies in both theoretical studies and practical applications within probability and statistics.

💼 Experience

Dr. Konul Kamal Omarova serves as an Associate Professor at Baku State University, specializing in Probability Theory and Statistics. With extensive academic and research experience, she has authored multiple peer-reviewed scientific papers, many indexed in prestigious databases like Web of Science. Over her career, she has conducted advanced studies on semi-Markov walk processes, Laplace transforms, and stochastic process boundaries. As an educator, Dr. Omarova has developed and delivered undergraduate and postgraduate courses, mentoring students in mathematical modeling, numerical methods, and optimization techniques. She has collaborated with scholars both nationally and internationally, contributing to interdisciplinary research in applied mathematics, informatics, and control problems. Her teaching and research consistently bridge theoretical mathematics and its practical applications in science and engineering, reinforcing her reputation as a leading academician in her field.

🏆 Honors and Awards

Dr. Konul Kamal Omarova’s research excellence has been recognized through numerous citations and inclusion in international indexed journals such as Web of Science. Although specific formal awards and honors are not listed in the provided details, her repeated collaborations with esteemed mathematicians and her presence in reputed publications highlight her scholarly impact in the mathematical sciences community. Dr. Omarova’s contributions, especially in semi-Markov processes and boundary functionals, have been acknowledged through her selection as a co-author in cross-institutional studies, including collaborations with researchers from the National Academy of Sciences of Ukraine. Her academic rank of Associate Professor at Baku State University also reflects peer recognition of her teaching, mentorship, and research prowess in probability theory and statistics. Future accolades are likely, given her active role in advancing applied probability research and numerical methods in stochastic analysis.

🔬 Research Focus

Dr. Konul Kamal Omarova’s research focuses on the theory of probability, stochastic processes, and mathematical modeling, with a particular interest in semi-Markov walk processes. Her studies delve into the investigation of boundary functionals, Laplace transforms, and fractional integral equations, addressing both theoretical and applied problems in statistical analysis and optimization. She explores complex issues such as the distribution of stopping times, ergodic distributions, and jump processes with screens or delay mechanisms, contributing significantly to the mathematical understanding of random walk models. Dr. Omarova’s work also extends to the embedding between variable Lebesgue spaces with measures, reflecting her broad mathematical interests beyond pure probability theory. Her comprehensive approach integrates analytical techniques, numerical methods, and optimization, aimed at solving real-world stochastic problems and informing practical applications in control systems, informatics, and computer science.

📚 Publications

1️⃣ The double Laplace transform of the distribution of a semi-Markov walk process with a stopping screen at zero. 📖
2️⃣ Laplace transform of the distribution of the first moment of reaching the top level by the direct method. 📖
3️⃣ Investigation of one boundary functional of the semi-Markov walk process with negative drift. 📖
4️⃣ Distribution of the boundary functional of a stepwise process of a semi-Markov walk. 📖
5️⃣ Distribution of the lower boundary functional of the step process of semi-Markov random walk with delaying screen at zero. 📖
6️⃣ Laplace transform of the ergodic distribution of a step process of a semi-Markov walk with a stopping screen at zero. 📖
7️⃣ The Laplace transform for the distribution of the lower bound functional in a semi-Markov walk process with a delay screen at zero. 📖
8️⃣ Embedding between variable Lebesgue spaces with measures. 📖

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.

Aviral Srivastava | Mathematics | Academic Citation Trailblazer Award

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Mr. Aviral Srivastava | Mathematics | Academic Citation Trailblazer Award

Graduate research assistant at Pennsylvania State University, United States

Actively seeking teaching faculty and lecturer positions in Cybersecurity, Computer Science, Machine Learning/AI, and Data Science, Aviral Srivastava is available to commence duties starting Spring 2025. He is currently a graduate student pursuing a Master’s program at Penn State University, with an impressive portfolio of more than 20 publications and two awarded patents. He has co-edited a book on multidisciplinary research and co-authored a textbook on IoT. Aviral has been the recipient of numerous prestigious awards, including Cybersecurity Innovator of the Year, Best International Researcher, and Outstanding Researcher in the fields of Computer Science, Cybersecurity, and Neural Cryptography. He has also received the Distinguished Researcher Award, Asia’s Most Promising Researcher Award in Computer Science in 2023, and the InRes Academic Excellence Award 2023 for demonstrating exceptional research capabilities and innovation. His expertise includes leveraging Machine Learning, Deep Learning, Reinforcement Learning, and Neural Networks to address complex cybersecurity issues.

Professional Profiles:

📚 Education:

Mr. Aviral Srivastava is currently pursuing a Master of Science in Cybersecurity Analytics and Operations at Pennsylvania State University, University Park, PA, with an expected graduation date of May 2025. He maintains an exemplary GPA of 4.0/4.0 in his graduate studies. Prior to this, he earned his Bachelor of Technology in Computer Science from Amity University, India, graduating in July 2023 with a GPA of 3.4/4.0.

Teaching  Experience:

Aviral Srivastava has gained valuable teaching experience at Pennsylvania State University, within the College of Information Sciences and Technology. In Spring 2024, he served as a Teaching Assistant for CYBER 440: Cybersecurity Analytics and Operations Capstone. In this role, he facilitated advanced cybersecurity analysis and guided students in applying industry-prevalent analytic frameworks, thereby enhancing their capability to analyze and address complex cybersecurity incidents. He also supported student learning by conducting office hours, offering personalized guidance, and assisting students in developing clear, effective communication and report-writing skills tailored for both technical and executive audiences. In Summer 2024, Aviral continued his teaching assistantship at Pennsylvania State University, this time for CYBER 100: Computer Systems Literacy. His responsibilities included assisting in the development and enhancement of the course curriculum to ensure it remained up-to-date with current industry standards and technological advancements. He adeptly resolved student queries and explained complex concepts related to computer systems, covering hardware, software, and basic cybersecurity principles. Additionally, he supported student learning by conducting office hours, providing personalized guidance, and fostering an inclusive learning environment.

Research :

During the summer of 2025, Aviral Srivastava gained significant research experience as a Summer Research Intern at the Cybersecurity Lab at Pennsylvania State University, under the supervision of Dr. Peng Liu. He led the development of a Cryptography Capture The Flag (CTF) challenge generation project using GPT-4, which aimed to enhance educational tools for learning cryptography and security problem-solving skills. Additionally, Aviral spearheaded a project focused on improving Content Management Systems (CMS) using advanced Natural Language Processing (NLP) techniques, with an emphasis on enhancing user interaction and content accessibility.

Technical Skills :

Aviral Srivastava possesses a diverse and robust set of technical skills across various domains. In programming languages, he is proficient in Python, C/C++, JavaScript, SQL, Bash, and PowerShell. His cybersecurity expertise includes penetration testing, vulnerability assessment, incident response, malware analysis, red teaming, and cryptography. He is adept with tools such as Burp Suite, Metasploit, Nmap, Nessus, OWASP Tools, and has knowledge in network security, firewalls, IPS/IDS, and forensics tools like Autopsy, EnCase, FTK, and Volatility. He is also familiar with frameworks such as the Cyber Kill Chain and the MITRE ATT&CK Framework. In terms of development tools, Aviral is skilled in using VS Code, Jupyter Notebook, Git, Docker, and Jenkins. He has experience with AI/ML technologies, including TensorFlow, PyTorch, Sci-kit Learn, Pandas, and Numpy. Additionally, he has proficiency in cloud technologies, with hands-on experience in AWS, Azure, and Google Cloud.

Awards and Honors:

Aviral Srivastava has earned several notable certifications and accolades in the field of cybersecurity and computer science. His certifications include the Certified Ethical Hacker Practical (CEH) from EC-Council, obtained in October 2022, and the Certified Penetration Testing Expert (CPTE) from Pristine Infosolutions Pvt. Ltd., earned in November 2021. Additionally, he holds the ISO/IEC 27001 Information Security Associate certification from SkillFront, obtained in May 2021, and the Gremlin Certified Chaos Engineering Practitioner (GCCEP) from Gremlin, received in June 2021. Aviral’s achievements reflect his exceptional skills and dedication to his field. He ranked 237th out of 64,000 hackers in the Ring0 CTF and holds the “PRO HACKER” rank in HackTheBox, with a global ranking of 150 and a ranking of 2 in India. He has been recognized with multiple awards, including the Young Researcher Award from the Institute of Management Bhubaneswar and the Young Researcher Award for the paper “StegoDOG” from the Institute of Scholars. He received the ISSN Best International Researcher Award in Computer Science and Cybersecurity and was named the Cybersecurity Innovator of the Year at Bsides Bangalore 2023. Further accolades include the ISSN International Outstanding Researcher Award in Neural Cryptography and recognition as the Most Promising Researcher in Cybersecurity and Cryptography in Asia. In 2023, he was honored with the Best Young Researcher Award from the International Journal for Modern Trends in Science and Technology, the Distinguished Researcher Award of the Year at the 9th International Millennium Impact Awards, and the Academic Excellence Award from the Institute of Researchers.

 

📚Publications :

Adaptive Cyber Defense: Leveraging Neuromorphic Computing for Advanced Threat Detection and Response

Authors: A Srivastava, V Parmar, S Patel, A Chaturvedi

Conference: 2023 International Conference on Sustainable Computing and Smart Systems

Citations: 3

Year: 2023

Cauchy Grasshopper Optimization Algorithm with Deep Learning Model for Cloud Enabled Cyber Threat Detection System

Authors: CN Ravi, TS Karthik, K Manikandan, P Kalaivaani, PN Chopkar, A Srivastava

Conference: 2023 7th International Conference on Intelligent Computing and Control

Citations: 1

Year: 2023

Swarm Intelligence for Network Security: A New Approach to User Behavior Analysis

Authors: A Srivastava

Journal: International Research Journal of Engineering and Technology (IRJET) 1 (09)

Citations: 1

Year: 2023

Detection of Covid-19 from X-ray Images using Deep Learning Techniques

Authors: A Srivastava, VV Kumar, TR Mahesh

Journal: International Journal of Data Informatics and Intelligent Computing 1 (2), 1-7

Citations: 1

Year: 2022

Stego Dog: Image Steganography Tool for Confidentiality and Integrity

Authors: V Parmar, D Gandhi, A Srivastava, S Sharma

Conference: 2022 International Conference on Sustainable Computing and Data

Citations: 1

Year: 2022

Imperceptible Malware: Bypassing Modern AV-Engines by AI-Assisted Code

Authors: A Srivastava, D Thakkar, P Verma, P Patel, SSS Student

Journal: International Journal of Engineering Applied Sciences and Technology 6 (6)

Citations: 1

Year: 2021

Anticipated Network Surveillance–An Extrapolated Study to Predict Cyber-Attacks Using Machine Learning and Data Analytics

Authors: A Srivastava, D Thakkar, DS Valiveti, DP Shah, DG Raval

Preprint: arXiv preprint arXiv:2312.17270

Citations: 0

Year: 2023

Multimodal Sensor Data Fusion Based Cyberattack Detection in Industrial Internet of Things Environment

Authors: R Nithya, JJA Sundari, MS Balamurugan, R Sindhuja, A Srivastava

Conference: 2023 7th International Conference on Electronics, Communication and

Citations: 0

Year: 2023

Intelligent False Data Injection Attack Detection Using Soft Computing in Cyber-Physical Power Systems

Authors: PN Khairnar, KV Bindu, MAA Walid, S Jothimani, B Subha, A Srivastava

Conference: 2023 7th International Conference on Electronics, Communication and

Citations: 0

Year: 2023

Securing IoT-Edge Networks: Federated Deep Learning for Botnet Detection

Authors: S Nagasundaram, R Sindhuja, BR Kanna, S Rajalakshmi, G Shobana, A Srivastava

Conference: 2023 7th International Conference on Electronics, Communication and

Citations: 0

Year: 2023

Hybrid Multimodal Machine Learning Driven Android Malware Recognition and Classification Model

Authors: K Aggarwal, R Karthikeyan, S Kayalvili, S Srimathi, A Srivastava

Conference: 2023 7th International Conference on Electronics, Communication and

Citations: 0

Year: 2023

Digital Power Play: Unraveling the Evolution of State-Sponsored Cyber Operations

Authors: A Srivastava, V Parmar, P Sanghavi, S Rani

Conference: 2023 16th International Conference on Security of Information and Networks

Citations: 0

Year: 2023

 

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