Sarabindu Dolui | Mathematics | Innovation in Engineering Award

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Innovation in Engineering Award

Sarabindu Dolui — Assistant Professor, Department of Mathematics, School of Engineering, Dayananda Sagar University, India.

Sarabindu Dolui
Affiliation Dayananda Sagar University
Country India
Scopus ID 58038950000
Documents 11
Citations 54
h-index 5
Subject Area Mathematics
Event Popular Engineer Awards
ORCID 0009-0006-9744-2703
Google Scholar HRFDNaQAAAAJ

The Innovation in Engineering Award is an academic recognition associated with the Popular Engineer Awards, a platform that acknowledges researchers and engineers for contributions to applied science, engineering, and interdisciplinary innovation. The present article profiles Sarabindu Dolui, Assistant Professor in the Department of Mathematics, School of Engineering, Dayananda Sagar University, India, whose research addresses ultrafast magnetization dynamics, micromagnetic modeling, and mathematical physics. His Scopus record lists 11 documents, 54 citations, and an h-index of 5 within the subject area of Mathematics [1]. The assessment below is neutral and evidence-based, drawing on indexed publications, citation metrics, and documented academic achievements [2].

Abstract

This article evaluates the academic profile of Sarabindu Dolui in the context of the Innovation in Engineering Award. His research develops mathematical and computational models of ultrafast magnetization dynamics in ferromagnetic nanostructures, based on the generalized Landau–Lifshitz–Gilbert equation with inertial and nonlinear dissipative terms [3]. Indexed output includes 11 Scopus documents, 54 citations, and an h-index of 5, with additional Google Scholar visibility of 62 citations across 13 documents [1]. The evidence supports award consideration on scholarly merit [2].

Keywords

  • Micromagnetic modeling
  • Ultrafast magnetization dynamics
  • Landau–Lifshitz–Gilbert equation
  • Domain wall motion
  • Mathematical physics
  • Nonlinear dynamics
  • Machine learning

Introduction

The Innovation in Engineering Award recognizes researchers whose work connects fundamental mathematics with engineering applications. Sarabindu Dolui’s doctoral research at the National Institute of Technology Andhra Pradesh examined the controlled manipulation of domain wall motion in notched ferromagnetic nanostrips, strain-induced magnetization dynamics in bilayer heterostructures, and magnetization stability criteria in network systems [4]. The theoretical framework relies on the generalized Landau–Lifshitz–Gilbert equation in the ultrafast regime, where inertial effects become significant [3]. This interdisciplinary orientation spans physics, materials science, electronics, and nanotechnology, and forms the basis for the award assessment presented here [2].

Research Profile

Sarabindu Dolui is Assistant Professor in the Department of Mathematics, School of Engineering, Dayananda Sagar University, India. He completed a Ph.D. in Mathematics at the National Institute of Technology Andhra Pradesh in 2025, with a thesis titled Mathematical Investigation of Ultrafast Magnetization Dynamics in Ferromagnetic Nanostructures. Earlier qualifications include a Bachelor of Education from Batindra Latika B.Ed & D.El.Ed College (WBUTTEPA) in 2021, an M.Sc. in Mathematics from Banaras Hindu University in 2018, and a B.Sc. in Mathematics, Physics and Computer Science from Ramakrishna Mission Residential College (University of Calcutta) in 2015 [1]. His declared research interests include micromagnetic modeling, mathematical physics, dynamical systems, nonlinear dynamics, and machine learning [4].

Academic achievements include All India Rank 491 in IIT-JAM (2015), qualification in NET-LS in 2019 (AIR-76), All India Rank 421 in IIT-GATE (2021), and a UGC-Junior Research Fellowship with AIR-136 in 2021. He received Silver Medals in the NPTEL courses Noc21-ma56 and Noc21-ma46 in 2021 [2]. Documented recognition includes a Swami Vivekananda Merit-cum-Means Scholarship from the Government of West Bengal (2010), a SIAM Student Travel Award for the SIAM Conference on Control and Its Applications in Philadelphia (2023), a Best Poster Presentation Award at the International Conference on Perspectives in Nonlinear Dynamics at IIT Madras (2023), a MI&T Congressi travel grant for the International Conference on Magnetism in Bologna (2024), Overseas International Conference support from NIT Andhra Pradesh for the 14th AIMS Conference in Abu Dhabi (2024), International Travel Support from ANRF for the Joint MMM-Intermag Conference in New Orleans (2025), a CSIR Foreign Travel Grant for the 14th AIMS Conference (2024), and an IEEE Magnetics Society TMRC travel grant for the Magnetic Recording Conference at Tohoku University (2025) [2].

Research Contributions

The central contribution is a mathematical treatment of ultrafast magnetization dynamics in ferromagnetic nanostructures using the generalized Landau–Lifshitz–Gilbert equation with inertial and nonlinear dissipative terms. Studies have examined domain wall depinning in notched ferromagnetic nanostrips and the combined roles of inertial damping, Rashba effect, and dry-friction dissipation [5]. Related work addresses strain-induced domain wall motion in bilayer composite and hybrid piezoelectric-magnetostrictive structures [6], and strain-induced ultrafast magnetization dynamics in cubic magnetostrictive materials [3]. A further line of inquiry develops neural network frameworks for modeling Landau–Lifshitz–Gilbert dynamics, linking micromagnetics with machine learning methods [4].

Publications

The publication record comprises 11 indexed Scopus documents, including journal articles in Advanced Theory and Simulations, Engineering Applications of Artificial Intelligence, International Journal of Engineering Science, Chaos: An Interdisciplinary Journal of Nonlinear Science, Zeitschrift für angewandte Mathematik und Physik, Physica Scripta, Acta Mechanica, Acta Mechanica Sinica, and Mechanics of Advanced Materials and Structures, alongside a book chapter with Central West Publishing, Australia [1]. Representative indexed items include work on domain wall dynamics in cubic magnetostrictive materials [6], strain-induced fast domain wall motion in hybrid structures [7], and strain-induced ultrafast magnetization dynamics with inertial effects [3].

Research Impact

Scopus records 54 citations, 11 documents, and an h-index of 5, while Google Scholar reports 62 citations, 13 documents, and an h-index of 5 [1]. These indicators are moderate in absolute terms but consistent with an early-career researcher publishing in established mathematics, physics, and engineering journals. Citation activity is concentrated in micromagnetics and applied mathematics, indicating a coherent rather than diffuse research program [2]. The interdisciplinary character of the work broadens its potential readership across physics, materials science, electronics, and nanotechnology [4].

Award Suitability

In relation to the Innovation in Engineering Award associated with the Popular Engineer Awards, the candidate presents a documented record of peer-reviewed publication, competitive national fellowships, and international conference participation [2]. The research combines mathematical rigor with engineering relevance, particularly in spintronics and magnetic nanostructure applications [5]. Award criteria commonly emphasize originality, measurable scholarly output, and demonstrable contribution to an applied field; the available metrics and the interdisciplinary scope of the work are consistent with these criteria [1]. No exaggerated claims are made, and suitability is assessed solely on indexed evidence [2].

Conclusion

Sarabindu Dolui’s profile reflects an early-career mathematical researcher working at the interface of micromagnetics, nonlinear dynamics, and engineering applications. The Scopus record of 11 documents, 54 citations, and an h-index of 5, together with Google Scholar figures of 62 citations and 13 documents, provides a verifiable basis for award evaluation [1]. On the evidence presented, the profile is consistent with the scholarly expectations of the Innovation in Engineering Award [2].

References

  1. Elsevier. (n.d.). Scopus author details: Sarabindu Dolui, Author ID 58038950000. Scopus.
    https://www.scopus.com/authid/detail.uri?authorId=58038950000
  2. Popular Engineer Awards. (n.d.). Innovation in Engineering Award: Nomination and recognition criteria. Popular Engineer Awards.
    https://popularengineer.org/
  3. Dolui, S., Maity, S., & Dwivedi, S. (2024). Strain-induced ultrafast magnetization dynamics in cubic magnetostrictive materials with inertial and nonlinear dissipative effects. Zeitschrift für angewandte Mathematik und Physik, 75(4), Article 149.
    https://doi.org/10.1007/s00033-024-02289-6
  4. Dolui, S., & Salman, M. (2026). A neural network framework for modeling the dynamics of the Landau–Lifshitz–Gilbert equation. Engineering Applications of Artificial Intelligence, 181, 115562.
    https://doi.org/10.1016/j.engappai.2025.115562
  5. Dolui, S., Maity, S., Dwivedi, S., & Consolo, G. (2024). Depinning of domain walls in a notched ferromagnetic nanostrip: role of inertial and nonlinear damping effects. Physica Scripta, 99(9), 095237.
    https://doi.org/10.1088/1402-4896/ad6b4e
  6. Maity, S., Dolui, S., Dwivedi, S., & Consolo, G. (2023). Domain wall dynamics in cubic magnetostrictive materials subject to Rashba effect and nonlinear dissipation. Zeitschrift für angewandte Mathematik und Physik, 74(1), Article 23.
    https://link.springer.com/article/10.1007/s00033-022-01911-9
  7. Maity, S., Dolui, S., & Dwivedi, S. (2024). Strain-induced fast domain wall motion in hybrid piezoelectric-magnetostrictive structures with Rashba and nonlinear dissipative effects. Acta Mechanica Sinica, 40(9), Article 423613.
    https://link.springer.com/article/10.1007/s10409-024-23613-x
  8. ORCID. (n.d.). ORCID record: Sarabindu Dolui, 0009-0006-9744-2703. ORCID.
    https://orcid.org/0009-0006-9744-2703
  9. Google Scholar. (n.d.). Citations profile: Sarabindu Dolui. Google Scholar.
    https://scholar.google.com/citations?user=HRFDNaQAAAAJ&hl=en&oi=ao
  10. ResearchGate. (n.d.). Profile: Sarabindu Dolui. ResearchGate.
    https://www.researchgate.net/profile/Sarabindu-Dolui
  11. Dolui, S., & Dwivedi, S. (2026). Stabilization of steady-states in a three dimensional network of ferromagnetic nanowires. Advanced Theory and Simulations, e70566.
    https://doi.org/10.1002/adts.70566

Muhammad Ramzan | Applied math | Best Scholar Award

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Mr. Muhammad Ramzan | Applied math | Best Scholar Award

Scholar, Bahauddin Zakariya University, Pakistan

Muhammad Ramzan is a researcher and academic based at Bahauddin Zakariya University, Multan, Punjab, Pakistan. With a strong background in applied mathematics and fluid dynamics, he has earned recognition for his contributions to the study of heat transfer, nanofluids, and fractional derivatives. His work focuses on the theoretical and numerical modeling of complex fluid flow phenomena and their interaction with magnetic fields, heat transfer, and chemical reactions. As an active member of the scientific community, he regularly collaborates with other esteemed researchers to tackle challenging problems in applied mathematics and engineering, publishing widely in high-impact journals. Ramzan’s work is widely cited and respected, reflecting his expertise and commitment to advancing knowledge in his field.

Profile

Orcid

Education 🎓

Muhammad Ramzan completed his academic journey at Bahauddin Zakariya University, Multan, where he has been a dedicated student from October 2, 2017, to March 20, 2025. During his academic career, Ramzan immersed himself in advanced studies focusing on applied mathematics, specifically in the areas of fluid dynamics, heat transfer, and fractional calculus. His education has equipped him with the skills to conduct high-level research in these areas, contributing to the development of novel mathematical models used to understand complex physical systems. His academic foundation in applied mathematics has laid the groundwork for his significant research and publications, positioning him as an emerging leader in his field. Through rigorous coursework and research, Ramzan has demonstrated a strong commitment to advancing scientific knowledge and solving real-world problems.

Employment 💼

Muhammad Ramzan holds a position at Bahauddin Zakariya University, Multan, Punjab, Pakistan, under the Department of Applied Mathematics (CASPAM). His work at the university is centered around both teaching and research, with a focus on applied mathematics and its real-world applications in fluid mechanics and heat transfer. In addition to his teaching responsibilities, he actively engages in research projects, collaborating with both local and international experts in his field. Ramzan’s employment has provided him with the opportunity to explore advanced topics in fluid dynamics, nanofluids, and mathematical modeling, leading to multiple publications in prestigious scientific journals. His work at the university also allows him to mentor students and contribute to the development of new academic programs in applied mathematics, positioning the institution as a hub for cutting-edge research.

Research Focus 🔬

Muhammad Ramzan’s research primarily focuses on the study of fluid dynamics, heat transfer, and mathematical modeling using fractional derivatives. He investigates the impact of Brownian motion, thermophoresis, and chemical reactions on fluid flow and heat transfer in complex systems. His work often involves the study of nanofluids, magnetohydrodynamic (MHD) flows, and the application of advanced mathematical tools such as fractional calculus and hybrid fractal derivatives. By combining theoretical modeling with numerical simulations, his research aims to improve understanding of these complex systems and contribute to fields like engineering and materials science. Ramzan’s research is not only groundbreaking but also highly practical, with potential applications in various industries, including energy, manufacturing, and environmental science. His interdisciplinary approach bridges applied mathematics and engineering, offering innovative solutions to real-world problems.

Publication Top Notes📄

  1. Effect of Brownian and thermophoresis motion on fluid flow with chemical reaction and heat transfer 🌡️
    Published in Radiation Effects and Defects in Solids, 2025
    DOI: 10.1080/10420150.2025.2467360

  2. A comparative study of heat absorption and chemical reaction on MHD flow with fractional derivatives 🔥
    Published in Numerical Heat Transfer, Part A: Applications, 2024
    DOI: 10.1080/10407782.2024.2375322

  3. Analysis of heat and mass transfer on nanofluid: An application of hybrid fractal-fractional derivative 🌫️
    Published in Numerical Heat Transfer, Part A: Applications, 2024
    DOI: 10.1080/10407782.2024.2366442

  4. Application of fractional derivative on nanofluid with magnetic field ⚡
    Published in Numerical Heat Transfer, Part B: Fundamentals, 2024
    DOI: 10.1080/10407790.2024.2362940

  5. Analysis of active and passive control of fluid with fractional derivative ⚙️
    Published in Numerical Heat Transfer, Part A: Applications, 2024
    DOI: 10.1080/10407782.2024.2327008

 

 

 

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.