Ali Mubaraki | Applied Mathematics | Best Researcher Award

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Dr. Ali Mubaraki | Applied Mathematics | Best Researcher Award

Professor assistant, Taif University, Saudi Arabia.

Dr. Ali Mohammed Ali Mubaraki is an accomplished academic and researcher in the field of mathematics, currently serving as an Assistant Professor at Taif University, Saudi Arabia. He completed his Ph.D. in Mathematics from Keele University, UK, in 2021, specializing in asymptotic models for surface waves in coated elastic solids. With a rich academic background, including a Master’s from Taibah University and a Bachelor’s from King Abdulaziz University, Dr. Mubaraki’s work focuses on wave propagation, elasticity, and surface waves. He has contributed significantly to multiple publications and remains active in advanced research areas. He is an influential member of the academic community, having worked as a lecturer at the Federal University of Dutse, Nigeria, prior to his tenure at Taif University. His expertise extends to areas such as MATHEMATICA, Maple, and LaTeX, making him a valued asset in both teaching and research.

Education

Dr. Mubaraki holds a Doctor of Philosophy (Ph.D.) in Mathematics from Keele University (2021), where his thesis focused on surface wave propagation in coated elastic solids under varying conditions. Before that, he earned a Master of Science (M.Sc.) from Taibah University, Saudi Arabia (2016), where he studied nearly open sets in topological spaces, achieving a CGPA of 4.87 out of 5.0. His academic journey began with a Bachelor of Science (B.Sc.) in Mathematics from King Abdulaziz University, Saudi Arabia (2001), graduating with a CGPA of 4.27 out of 5.0. Dr. Mubaraki’s educational trajectory has been marked by excellence, supported by scholarships throughout his studies, including full-time doctorate and master’s scholarships from Taif University and the Saudi Ministry of Education.

Experience

Dr. Mubaraki’s professional experience includes his current position as Assistant Professor in the Department of Mathematics at Taif University since 2021. Prior to this, he served as a Lecturer I at the Federal University of Dutse, Nigeria, for nearly seven years (2014-2021). Additionally, Dr. Mubaraki has extensive teaching experience as a Classroom Teacher in Jizan and Madinah, Saudi Arabia, from 2001 to 2014. His teaching expertise spans a range of mathematical fields, including wave theory, elasticity, and differential equations. At Taif University, he engages in both undergraduate and graduate-level teaching while conducting cutting-edge research in mathematical modeling, wave propagation, and elasticity. He utilizes software like MATHEMATICA, Maple, and LaTeX to complement his teaching and research endeavors.

Awards and Honors

Dr. Ali Mubaraki has earned notable scholarships in recognition of his academic excellence. He was awarded a full-time Doctorate Degree Scholarship from Taif University (2015-2021), as well as a full-time Master’s Degree Scholarship from the Saudi Ministry of Education to study at Taibah University (2009-2011). These scholarships are a testament to his exceptional academic performance and research potential. Throughout his career, Dr. Mubaraki’s research contributions have gained recognition from international academic communities, further solidifying his reputation as a leading researcher in the field of mathematics. His contributions to wave propagation and elasticity models have been cited extensively in top scientific journals, affirming the significance of his work in both theoretical and applied mathematics.

Research Focus

Dr. Ali Mubaraki’s research primarily focuses on wave propagation, elasticity, and surface waves in mathematical modeling. His work explores complex phenomena such as surface waves in coated elastic solids, wave solutions in porous media, and wave behaviors under fractional temporal variation. He also investigates applications in thermoelasticity, heat interactions, and the effects of external forces on wave propagation. Dr. Mubaraki employs asymptotic methods to model wave behavior in various materials, providing valuable insights into the mechanical properties of solids under different conditions. His research extends to the analysis of solitons, nonlinear dynamics, and the effects of external fields like magnetic forces and gravitational forces. Dr. Mubaraki’s contributions are advancing both theoretical and applied mathematics, particularly in the fields of elasticity and wave propagation.

Publications

  1. Wave propagation in an elastic coaxial hollow cylinder when exposed to thermal heating and external load 📚
  2. Wave solutions and numerical validation for the coupled reaction-advection-diffusion dynamical model in a porous medium 📐
  3. Effect of fractional temporal variation on the vibration of waves on elastic substrates with spatial non-homogeneity 🌊
  4. Additional solitonic and other analytical solutions for the higher-order Boussinesq-Burgers equation 📝
  5. Explicit model for surface waves on an elastic half-space coated by a thin vertically inhomogeneous layer 🔬
  6. Surface wave propagation in a rotating doubly coated nonhomogeneous half space with application 🌐
  7. Homoclinic breathers and soliton propagations for the nonlinear (3+1)-dimensional Geng dynamical equation 🚀
  8. Heat and wave interactions in a thermoelastic coaxial solid cylinder driven by laser heating sources 🌞
  9. Propagation of surface waves in a rotating coated viscoelastic half-space under the influence of magnetic field and gravitational forces ⚛️
  10. Modeling the dispersion of waves on a loaded bi-elastic cylindrical tube with variable material constituents 🧲
  11. On Rayleigh wave field induced by surface stresses under the effect of gravity 🌍
  12. Asymptotic models for surface waves in coated elastic solids 📏
  13. Pulse-driven robot: motion via distinct lumps and rogue waves 🤖
  14. Surface waves on a coated homogeneous half-space under the effects of external forces 🌐
  15. Analysis of horizontally polarized shear waves on a highly inhomogeneous loaded bi-material plate 📊
  16. Closed-form asymptotic solution for the transport of chlorine concentration in composite pipes 🚰
  17. Optical devices: motion via breathers, rogue waves and rational solitons 💡
  18. Modeling the dispersion of waves in a multilayered inhomogeneous membrane with fractional-order infusion 🧬
  19. A New Class of Coordinated Non-Convex Fuzzy-Number-Valued Mappings with Related Inequalities and Their Applications 🧠
  20. Asymptotic Consideration of Rayleigh Waves on a Coated Orthorhombic Elastic Half-Space Reinforced Using an Elastic Winkler Foundation 📐

 

Paula Milheiro-Oliveira | Stochastic systems | Women Researcher Award

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Prof. Dr. Paula Milheiro-Oliveira | Stochastic systems | Women Researcher Award

Associate Professor, University of Porto, Portugal

Paula Manuela Lemos Pereira Milheiro de Oliveira is a distinguished researcher and professor specializing in applied mathematics. She holds a Doctorat de Mathématiques Appliquées from Université de Provence, France, and is currently an Associate Professor at the University of Porto. With an extensive research background in stochastic systems, nonlinear filtering, and mathematical modeling, she has contributed significantly to various international projects and collaborations. Dr. Milheiro Oliveira has authored numerous high-impact publications in computational mathematics, structural engineering, and Bayesian statistical modeling. Her expertise spans fluid dynamics, coastal erosion modeling, and digital concrete. She has collaborated with top research institutions across Europe, including INRIA and CNRS in France. As a key investigator in multiple funded projects, she plays a pivotal role in advancing the fields of applied mathematics and engineering. Her interdisciplinary work has received notable citations, solidifying her reputation as a leading figure in mathematical research.

Profile

Education🎓

Dr. Paula Milheiro Oliveira has a solid academic foundation in mathematics. She earned her Doctorat de Mathématiques Appliquées in 1990 from Université de Provence, Aix-Marseille, France, with a thesis on nonlinear filtering in low-noise environments. She also holds a DEA (Master’s) in Applied Mathematics from the same institution (1987). Before that, she completed her Licenciatura (Bachelor’s) in Mathematics with a specialization in Applied Mathematics at the University of Porto, Portugal, in 1985. In 2024, she achieved the prestigious Agregação (habilitation) in Applied Mathematics from the University of Porto, further strengthening her academic credentials. Her educational background reflects her deep expertise in probability theory, stochastic processes, and computational mathematics. With a strong foundation in mathematical modeling and its engineering applications, Dr. Milheiro Oliveira continues to contribute to cutting-edge research and mentorship, shaping future scholars in mathematics and engineering disciplines.

Experience 👩‍🏫

Dr. Paula Milheiro Oliveira has an extensive career in academia and research. Since 2001, she has been an Associate Professor at the University of Porto, where she teaches and mentors students in applied mathematics. Before this, she was an Assistant Professor at the Faculty of Engineering (1991–2001). Her research career began at INRIA, France (1987–1990), where she worked on stochastic processes. She later joined the Institute of Systems and Robotics in Porto (1993–1997), contributing to advanced robotic modeling. Her international experience includes a visiting researcher role at HR Wallingford Ltd, UK, in 1997. Beyond academia, she served as a Science and Technology Manager at CEC (2002–2008). She is a key investigator in multiple projects involving nonlinear filtering, digital concrete, and climate-resilient structures. With ongoing collaborations in France and Portugal, she remains a leading researcher in stochastic modeling and mathematical applications in engineering.

Research Focus 🔬

Dr. Paula Milheiro Oliveira’s research primarily focuses on stochastic systems, nonlinear filtering, and computational mathematics. Her work contributes to diverse fields, including probabilistic modeling, Bayesian networks, and uncertainty quantification. She applies mathematical techniques to solve real-world engineering challenges, such as digital concrete design, coastal erosion prediction, and climate-resilient infrastructure. Her expertise extends to numerical methods for nonlinear wave models, high-performance concrete materials, and self-compacting cementitious composites. A significant part of her research addresses the application of stochastic differential equations to structural reliability analysis. She is also involved in machine learning-based predictive modeling for sustainable construction materials. With multiple funded projects, her interdisciplinary approach bridges mathematics, civil engineering, and computational science. Her ongoing work in filtering theory and partial differential equations contributes to advancements in intelligent systems and smart infrastructure solutions.

Publication Top Notes📚

  • Stochastic simulation of episodic soft coastal cliff recession
  • A methodology to assess robustness of SCC mixtures
  • Using Bayesian networks to improve knowledge assessment
  • Comparative effects of bevacizumab, ranibizumab and pegaptanib at intravitreal dose range on endothelial cells
  • Sleep on the job partially compensates for sleep loss in night‐shift nurses
  • Estimation of the tensile strength of UHPFRC layers based on non-destructive assessment of fiber content and orientation
  • Design of self-compacting high-performance concrete: Study of mortar phase
  • Rheological characterization of SCC mortars and pastes with changes induced by cement delivery
  • Interaction diagrams to assess SCC mortars for different cement types
  • Robust SCC mixes through mix design
  • Queues with server vacations as a model for pre-timed signalized urban traffic
  • Exercise templates with Sage
  • Modeling and simulation of traffic movements at semi-actuated signalized intersections
  • Bayesian statistical methods for modeling and prediction of major landslides in coastal cliffs
  • Mathematics or mathematics for engineering?
  • Coastal cliff recession: development and application of prediction methods
  • Design of eco-efficient ultra-high-performance fiber-reinforced cement-based composite for rehabilitation applications
  • Interface evaluation of Portuguese and international news websites
  • Eco-efficient high-performance white concrete incorporating waste glass powder
  • ModelMaker, a multidisciplinary web application to build question generator models from basic to higher education

 

 

Dr. Mohammed Elghandouri | Applied Mathematics |

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Dr. Mohammed Elghandouri | Applied Mathematics | Best Researcher Award

Postdoctoral position , Inria de Lyon, France.

Dr. Mohammed Elghandouri is a Moroccan-born researcher specializing in applied mathematics and computer science. He holds a Ph.D. from a joint doctoral program between Cadi Ayyad University (Morocco) and Sorbonne University (France), focusing on controllability and dynamic systems. Passionate about mathematical modeling, his work spans across various disciplines including epidemiology, optimal control, and integrodifferential equations. Currently, Dr. Elghandouri is a postdoctoral researcher at the Centre INRIA de Lyon, France, contributing to mathematical modeling of vector-borne diseases. With a deep commitment to research and education, he actively participates in conferences, training programs, and scientific communities globally.

Profile 

Education 🎓

Dr. Elghandouri completed his Ph.D. in applied mathematics and computer science through a joint doctoral program between Cadi Ayyad University in Morocco and Sorbonne University in France, where his thesis focused on controllability for nonlocal integrodifferential equations. Prior to his Ph.D., he obtained a Master’s degree in Mathematical Modeling and Dynamic Systems Analysis from Cadi Ayyad University. He also holds an International Master’s degree in Mathematics and Applications from Côte d’Azur University, France. His academic journey began with a Bachelor’s degree in Mathematical Sciences and Applications at Cadi Ayyad University. He has also attended numerous training courses and participated in workshops worldwide to refine his research and teaching skills.

Experience 💼

Dr. Elghandouri has extensive research experience, particularly in the areas of mathematical modeling, dynamic systems, and optimal control. He is currently a postdoctoral researcher at the Centre INRIA de Lyon, where he works on mathematical models for vector-borne diseases. Throughout his career, Dr. Elghandouri has collaborated with prestigious institutions, including Sorbonne University and Cadi Ayyad University, and has contributed to international conferences, workshops, and seminars in the fields of applied mathematics, epidemiology, and control theory. His research stay in France allowed him to enhance his expertise in complex systems modeling. Additionally, he has participated in various scientific and training activities, building strong interdisciplinary research connections.

Research Focus 🔬

Dr. Elghandouri’s research is focused on the controllability of dynamic systems, with special attention to integrodifferential equations and their applications in mathematical and computer modeling. His work encompasses topics like optimal control, epidemiological modeling, and the modeling of complex systems, particularly for public health applications such as vector-borne diseases. He is interested in the theoretical aspects of well-posedness, asymptotic behavior, and approximate controllability in infinite-dimensional systems, including those with nonlocal conditions. His work is interdisciplinary, bridging applied mathematics with epidemiology, environmental sciences, and computational modeling. Dr. Elghandouri is dedicated to exploring new mathematical models that can solve real-world problems in public health and beyond.

Publications 📚

  • Approximation of Mild Solutions of Delay Integro-Differential Equations on Banach Spaces
  • Approximate Controllability for Some Integrodifferential Evolution Equations with Nonlocal Conditions
  • Well-Posedness and Approximate Controllability for Some Integrodifferential Evolution Systems with Multi-Valued Nonlocal Conditions
  • Exploring Well-Posedness and Asymptotic Behavior in an Advection-Diffusion-Reaction (ADR) Model
  • Optimal Control of General Impulsive VS-EIAR Epidemic Models with Application to COVID-19
  • Approximate Controllability for Nonautonomous Integrodifferential Equations with State-Dependent Delay
  • On The Approximate Controllability for Fractional Neutral Inclusion Systems With Nonlocal Conditions
  • Regional Control Strategies for a Spatiotemporal SQEIAR Epidemic Model: Application to COVID-19
  • Approximate Controllability for Some Nonlocal Integrodifferential Equations in Banach Spaces
  • Dynamical Analysis and Numerical Simulation of a Reaction-Diffusion Model for Microbial Decomposition of Organic Matter in 3D Soil Structure

VLADICA STOJANOVIC | Applied Mathematics | Best Scholar Award

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Dr VLADICA STOJANOVIC | Applied Mathematics | Best Scholar Award

Full Professor ,University of Criminal Investigation and Police Studies ,Serbia

Vladica Stojanović is a Serbian mathematician and full professor at the University of Criminal Investigation and Police Studies, Belgrade, specializing in applied mathematics. With over 25 years of experience in academia, he has contributed significantly to various mathematical fields, especially in probability theory, time series analysis, and cryptography. His work has gained recognition for its interdisciplinary applications in cybersecurity, financial modeling, and engineering. Beyond his academic roles, Stojanović is a senior consultant in cryptology for cybersecurity, emphasizing his expertise in real-world problem-solving. He holds prestigious positions in academic councils and has earned accolades, including the 2022 Outstanding Reviewer Award from Mathematics (MDPI). His research continues to influence contemporary statistical modeling and data analysis, with a strong focus on practical applications in diverse industries.

Profile

Strengths for the Best Researcher Award

  1. Extensive Academic Background and Experience:
    • Professor Stojanović’s long and diverse academic career, spanning over 25 years, demonstrates a deep commitment to both teaching and research. His work has influenced the fields of applied mathematics, cryptology, and statistical modeling, particularly in areas such as time series analysis, dynamic processes, and probability distributions.
    • His extensive teaching experience as an Assistant Professor, Associate Professor, and Full Professor at multiple institutions, including the University of Criminal Investigation and Police Studies and the University of Priština, is commendable.
  2. Research Contributions:
    • His prolific publication record is impressive, with numerous articles in high-impact journals. Notably, his work on Poisson-Lindley processes, zero-and-one integer-valued time series, and probability generating functions for non-negative integer-valued time series has provided new methodologies and applications in dynamic analysis and financial modeling.
    • His work is widely cited in applied mathematics and statistical modeling, demonstrating his influence in the field. For instance, the article “Poisson-Lindley Minification INAR Process with Application to Financial Data” is already attracting significant attention (1 citation), suggesting its relevance in real-world applications.
    • His research also extends to interdisciplinary applications, such as cryptography for cybersecurity and modeling in environmental and engineering data, showcasing his ability to bridge different scientific domains.
  3. Awards and Recognition:
    • Professor Stojanović’s recognition as the Outstanding Reviewer Award in 2022 by Mathematics (MDPI) underscores his expertise in reviewing and contributing to the academic community.
    • His position as a Senior Consultant in Cryptology for the Cybersecurity facility in the Data Center Innovation District further highlights his leadership and expertise in applied mathematics beyond academia.
  4. Leadership and Service:
    • His leadership roles in academia, such as being the Head of the Mathematics Department and a member of various councils at the Faculty of Sciences in Kosovska Mitrovica, indicate his strong commitment to advancing the educational and research missions of his institutions.
    • His involvement in a wide range of committees demonstrates his active engagement with the academic community and his influence on shaping the future of the department and faculty.

Areas for Improvement

  1. Collaborative Research and Networking:
    • While Professor Stojanović has contributed significantly to his field, increasing his collaboration with international researchers and expanding his networking could lead to further interdisciplinary projects. Although he has published extensively in journals, fostering deeper collaborations in international research teams could broaden the impact of his work.
  2. Diversification of Research Applications:
    • Although his work is highly technical and theoretical, expanding his research into more diverse real-world applications (e.g., health, climate modeling, or policy analysis) could increase the societal impact of his contributions. His work in cryptology and dynamic analysis is promising, and applying these models to emerging global challenges could strengthen his academic portfolio.
  3. Increased Outreach and Public Engagement:
    • Engaging in public outreach activities, such as contributing to popular science forums or collaborating with industry, could raise his profile further and enhance the societal impact of his work.

Education

Stojanović earned his Bachelor’s degree in Mathematics from the University of Priština in Kosovska Mitrovica, followed by a Master’s degree and a PhD in Applied Mathematics from the same institution. His educational foundation in mathematics, coupled with his subsequent academic and research roles, laid the groundwork for his extensive contributions to the field. Throughout his career, Stojanović has continually enhanced his knowledge through further research and collaboration, earning multiple credentials in applied mathematics and contributing to the academic development of students and colleagues. His ongoing pursuit of excellence in mathematics, combined with his commitment to education and research, has solidified his reputation as a leading scholar in his field.

Experience

Vladica Stojanović’s academic career spans multiple prestigious positions. He began his journey as a Teaching Assistant at the Faculty of Economics, University of Priština, before transitioning to higher education roles. His progression to Assistant Professor, Associate Professor, and finally Full Professor at both the University of Priština and the University of Criminal Investigation and Police Studies underscores his academic growth. He has served as the Head of the Mathematics Department and been an active member of several academic councils, contributing to the development of the Mathematics curriculum and research initiatives. Alongside his teaching roles, Stojanović has been instrumental in applied research, especially in fields such as cryptology, time series analysis, and dynamic systems modeling. His leadership roles in the academic community and his interdisciplinary expertise have earned him recognition on both a national and international level.

Research Focus

Stojanović’s research primarily focuses on applied mathematics, with a strong emphasis on probability theory, time series analysis, statistical modeling, and cryptography. His contributions to the field of dynamic analysis and probability distributions have made him a leading expert in areas like Poisson-Lindley processes and integer-valued time series. He is particularly known for his work on non-negative integer-valued time series, where he applies probability generating functions for model estimation. His research also addresses real-world problems such as financial data modeling, environmental data analysis, and cybersecurity. Additionally, Stojanović’s interdisciplinary approach has led to significant collaborations with experts in fields like engineering, economics, and cryptology, ensuring that his mathematical models have practical applications in a wide range of industries, from energy markets to cybersecurity.

Publications

  • Laplace-Logistic Unit Distribution with Application in Dynamic and Regression Analysis 📝
  • Poisson-Lindley Minification INAR Process with Application to Financial Data 📉
  • Unit Exponential Probability Distribution: Characterization and Applications in Environmental and Engineering Data Modeling 🌍
  • Laplacian Split-BREAK Process with Application in Dynamic Analysis of the World Oil and Gas Market 🌐
  • Zero-and-One Integer-Valued AR(1) Time Series with Power Series Innovations and Probability Generating Function Estimation Approach 🔢
  • Parameters Estimation in Non-Negative Integer-Valued Time Series: Approach Based on Probability Generating Functions 📊
  • Cauchy Split-Break Process: Asymptotic Properties and Application in Securities Market Analysis 💹
  • Asymptotic Properties and Application of GSB Process: A Case Study of the COVID-19 Dynamics in Serbia 🦠
  • One Aggregated Approach in Multidisciplinary Based Modeling to Predict Further Students’ Education 🎓
  • Modeling Electrostatic Potential in FDSOI MOSFETs: An Approach Based on Homotopy Perturbations ⚡

Conclusion

Professor Vladica Stojanović is a highly qualified candidate for the Best Researcher Award. His sustained academic career, demonstrated through a rich body of research in applied mathematics, time series analysis, and cryptology, along with his recognized leadership and teaching excellence, positions him as a highly influential figure in his field. His work not only contributes to the academic community but also to practical applications in diverse domains like cybersecurity, financial data analysis, and dynamic systems modeling.

Despite some opportunities for increasing international collaboration and expanding the scope of his research to address broader societal issues, his academic achievements and impact are undeniable. His recognition as an outstanding reviewer and his leadership in academic committees further exemplify his contributions to the scientific community.

Thus, Professor Stojanović is undoubtedly deserving of the Best Researcher Award, and his future work will likely continue to shape and advance the field of applied mathematics and its applications.