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

Prof. Lenka Přibylová | Applied Mathematics | Best Researcher Award

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Prof. Lenka Přibylová | Applied Mathematics | Best Researcher Award

Associate Professor, Masaryk University, Czech Republic

Lenka Přibylová is an Associate Professor in the Department of Mathematics and Statistics at Masaryk University, specializing in applied mathematics, nonlinear dynamics, and mathematical modeling. Her interdisciplinary research spans epidemics, ecology, neuroscience, and physics, aiming to bridge theoretical mathematics with real-world applications.

Profile

Education 

Lenka Přibylová completed her Master of Science in Mathematics at Masaryk University in 1999, graduating with honors. She earned her Doctoral degree in Mathematical Analysis in 2004, under the supervision of Doc. Josef Kalas, CSc. In 2023, she achieved habilitation in Applied Mathematics at Masaryk University, attaining the title of Associate Professor. Additionally, she completed rigorous proceedings in Mathematics at Masaryk University in 2000. Her academic journey reflects a strong foundation in mathematical analysis and a commitment to advancing the field of applied mathematics.

Experience

Lenka Přibylová has held significant academic positions, contributing to both teaching and research. Since 2023, she has been serving as an Associate Professor in the Department of Mathematics and Statistics at Masaryk University. Prior to this, she was an Assistant Professor in the same department from 2006 to 2023. From 2002 to 2006, she was an Assistant Professor in the Department of Mathematics at Mendel University of Agriculture and Forestry in Brno. Her teaching portfolio includes courses on bifurcations, chaos, fractals, nonlinear dynamics, deterministic models, and mathematics for cartography. She has also supervised numerous doctoral, master’s, and bachelor’s theses, fostering the development of future mathematicians. Her research endeavors have led to collaborations with international institutions, enhancing the global impact of her work.

Awards and Honors

Lenka Přibylová’s contributions to mathematics have been recognized through various awards. In 2022, she received the MUNI Scientist Award, highlighting her exceptional research achievements. Earlier, in 1998, she was honored with the Award of the Head of the Department of Mathematics and Statistics for her outstanding work. These accolades underscore her dedication to advancing mathematical sciences and her commitment to excellence in research and education.

Research Focus

Lenka Přibylová’s research focuses on nonlinear dynamics and its applications across various disciplines. She leads the Analytical Group of the National Institute for Pandemic Control under the Czech Ministry of Health, where her team has modeled COVID-19 outbreaks and studied vaccine efficacy. Her ecological research examines the effects of climate change on seasonally driven population dynamics in ecosystems. In collaboration with international partners, she explores the dynamics of AC-driven Josephson junctions in physics. Her neuroscience research investigates the use of dynamical modeling in applied neuroscience and epileptology. Through these interdisciplinary projects, she applies mathematical principles to solve complex real-world problems, demonstrating the versatility and impact of applied mathematics.

Publication Top Notes

  1. “Predictive performance of multi-model ensemble forecasts of COVID-19 across European nations”
    Journal: eLife, 2023
    Summary: This study evaluates the effectiveness of multi-model ensemble forecasts in predicting COVID-19 trends across Europe, providing insights into the reliability of different forecasting methods.

  2. “Protection by vaccines and previous infection against the Omicron variant of SARS-CoV-2”
    Journal: The Journal of Infectious Diseases, 2022
    Summary: The research assesses the protective effects of vaccination and prior infection against the Omicron variant, contributing to understanding immunity dynamics.

  3. “Predator interference and stability of predator–prey dynamics”
    Journal: Journal of Mathematical Biology, 2015
    Summary: This paper explores how predator interference affects the stability of predator-prey interactions, offering mathematical insights into ecological balance.

  4. “Bifurcation routes to chaos in an extended Van der Pol’s equation applied to economic models”
    Journal: Electronic Journal of Differential Equations, 2009
    Summary: The study investigates the transition to chaos in economic models using an extended Van der Pol equation, highlighting the complexity of economic systems.

  5. “Foraging facilitation among predators and its impact on the stability of predator–prey dynamics”
    Journal: Ecological Complexity, 2017
    Summary: This research examines how foraging facilitation among predators influences the stability of predator-prey dynamics, providing ecological insights

Conclusion

Assoc. Prof. Lenka Přibylová is a well-rounded, impactful, and highly deserving candidate for a Best Researcher Award. Her interdisciplinary research contributions, especially in real-world applications such as epidemic modeling and neuroscience, alongside her dedication to teaching, mentorship, and science outreach, make her stand out as a nationally and increasingly internationally recognized researcher. With further international project leadership and more flagship publications, her profile would only strengthen in future candidacies.