Briyan Castillo | Mathematical Modeling | Young Scientist Award

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Young Scientist Award

Bryan Castillo Torres
Universidad Santiago de Cali (USC), Colombia
Bryan Castillo Torres
Affiliation Universidad Santiago de Cali (USC)
Country Colombia
Scopus ID 57226784500
Documents 15+
Citations 120+
h-index 6
Subject Area Structural Engineering, Real-Time Hybrid Simulation, Structural Health Monitoring
Event Math Scientist Awards
ORCID 0009-0005-7782-1162

Bryan Castillo Torres is a Colombian civil engineer and researcher whose academic and experimental contributions have focused on structural dynamics, real-time hybrid simulation (RTHS), structural health monitoring, and human–structure interaction in civil infrastructure systems. His work has contributed to the advancement of resilient structural assessment methodologies through the integration of experimental testing, computational modeling, and multi-axial dynamic analysis. His research activities have involved seismic isolation systems, pedestrian bridge dynamics, vibration control technologies, and hybrid simulation frameworks designed for contemporary infrastructure engineering applications.

Abstract

This article presents an academic overview of Bryan Castillo Torres and his research profile in the field of structural engineering and dynamic infrastructure assessment. His scholarly activities emphasize real-time hybrid simulation methodologies, seismic performance assessment, structural control systems, human–structure interaction, and multi-axial dynamic experimentation. Through publications in internationally indexed journals and collaborative engineering research projects, Castillo Torres has contributed to the development of resilient structural systems and experimental evaluation frameworks for civil engineering applications.[3] His work combines computational mechanics, laboratory experimentation, and vibration analysis techniques to address contemporary engineering challenges associated with seismic resilience and infrastructure performance.[4]

Keywords

Real-Time Hybrid Simulation, Structural Dynamics, Human–Structure Interaction, Seismic Isolation, Structural Health Monitoring, Civil Infrastructure, Dynamic Testing, Structural Control, Resilient Structures, Experimental Mechanics.

Introduction

Research in structural dynamics and resilient infrastructure systems has become increasingly important due to the growing demand for sustainable and earthquake-resistant engineering solutions. Contemporary civil engineering research frequently integrates computational simulation, hybrid experimental methods, and advanced sensing technologies to evaluate the performance of structures under dynamic loading conditions.

Bryan Castillo Torres has participated in several academic and applied research initiatives associated with the Universidad del Valle and related engineering institutions in Colombia. His research interests include real-time hybrid simulations, dynamic assessment of structural control devices, structural health monitoring, and the development of innovative experimental frameworks for infrastructure evaluation.[6] His work has contributed to the integration of laboratory experimentation with computational structural analysis in both seismic and pedestrian-induced dynamic environments.

Research Profile

Castillo Torres completed undergraduate, specialist, master’s, and doctoral studies at Universidad del Valle in Colombia, specializing in civil engineering and solid mechanics. His doctoral research focused on innovative multi-experimental performance assessment of civil infrastructure under dynamic loads using real-time hybrid simulation methodologies.

Throughout his academic career, he has worked as a teaching assistant, research assistant, and structural engineer in industrial extension projects related to structural testing and resilient infrastructure development. His research profile demonstrates interdisciplinary integration between structural mechanics, experimental engineering, and vibration control technologies.

  • Dynamic testing using Real-Time Hybrid Simulation systems.
  • Structural health monitoring and multiaxial sensor evaluation.
  • Human–structure interaction assessment in pedestrian bridges.
  • Experimental seismic isolation and vibration control systems.
  • Development of resilient infrastructure testing frameworks.

Research Contributions

A significant portion of Castillo Torres’s contributions has involved the application of real-time hybrid simulation methodologies to evaluate seismic and dynamic performance in low-rise reinforced concrete structures.[9] His publications explore hybrid semi-active and passive structural control systems, dynamic structural behavior, and the evaluation of seismic isolation devices under experimental conditions.

His research on pedestrian bridge dynamics has examined the influence of human gait and lateral harmonic movement on structural systems. These studies have integrated biomechanical modeling, multiaxial testing frameworks, and dynamic sensing technologies to evaluate structural response characteristics.[10]

In addition to journal publications, Castillo Torres has participated in international engineering conferences and collaborative research projects associated with structural control and experimental mechanics. His work also includes patent-related initiatives concerning isolation devices and dynamic load assessment systems.

Publications

  1. “Comprehensive assessment of the seismic performance of an innovative hybrid semi-active and passive state control system for a low-degree-of-freedom structure using Real-Time Hybrid Simulation.” Structural Control and Health Monitoring (2024). DOI:
    https://doi.org/10.1155/2024/9945556
  2. “Seismic performance assessment of a low-rise Reinforced Concrete Thin Wall building with Unconnected Fiber Reinforced Elastomeric Isolators as base isolation system using Real-Time Hybrid Simulations.” Journal of Building Engineering (2024). DOI:
    https://doi.org/10.1016/j.jobe.2024.109303
  3. “Experimental evaluation of pedestrian-induced multiaxial gait loads on footbridges.” Sensors (2024). DOI:
    https://doi.org/10.3390/s24082517
  4. “Assessing spatiotemporal behavior of human gait: a comparative study between smartphone-based mocap and OptiTrack systems.” Experimental Techniques (2024). DOI:
    https://doi.org/10.1007/s40799-024-00716-x

Research Impact

The research activities of Castillo Torres have contributed to the advancement of resilient infrastructure assessment through experimental and computational engineering methodologies. His work on seismic performance evaluation and dynamic testing frameworks has relevance for structural safety, infrastructure sustainability, and vibration mitigation research.

Several of his publications have appeared in peer-reviewed journals specializing in structural control, building engineering, sensors, and applied mechanics. His collaborative research outputs indicate continued engagement in multidisciplinary infrastructure engineering studies involving dynamic simulation, sensing technologies, and experimental validation techniques.

Award Suitability

Bryan Castillo Torres demonstrates a research profile aligned with the objectives of the Best Innovator Award through his interdisciplinary engineering contributions involving experimental structural analysis, hybrid simulation systems, and dynamic infrastructure assessment. His research portfolio combines theoretical modeling, experimental implementation, and practical engineering evaluation frameworks for resilient civil structures.

His academic record includes internationally indexed publications, conference presentations, collaborative research initiatives, and innovation-oriented engineering developments associated with structural testing systems and dynamic evaluation methodologies. Recognition through awards related to structural control and experimental techniques further reflects the academic visibility of his contributions within the field of civil and structural engineering.

Conclusion

Bryan Castillo Torres has established a research trajectory centered on structural dynamics, real-time hybrid simulations, and resilient infrastructure engineering. His work integrates advanced experimental methodologies with practical civil engineering applications, contributing to ongoing developments in structural control, seismic resilience, and human–structure interaction analysis. Through scholarly publications, engineering collaborations, and innovation-driven research activities, he has contributed to contemporary discussions surrounding experimental structural engineering and dynamic infrastructure assessment.

 

References

  1. Castillo, B., Ceron, D., Vides, S., Marulanda, J., & Thomson, P. (2024). Comprehensive assessment of the seismic performance of an innovative hybrid semi-active and passive state control system.
    https://doi.org/10.1155/2024/9945556
  2. Castillo, B., et al. (2024). Seismic performance assessment using Real-Time Hybrid Simulations. Journal of Building Engineering.
    https://doi.org/10.1016/j.jobe.2024.109303
  3. Castillo, B., Artunduaga, E., Marulanda, J., Thomson, P., & Ortiz, A. (2024). Multi-experimental seismic analysis using hybrid simulations.
    https://doi.org/10.1177/13694332241281525
  4. Castillo, B., Marulanda, J., & Thomson, P. (2024). Experimental evaluation of pedestrian-induced multiaxial gait loads on footbridges.
    https://doi.org/10.3390/s24082517

Heba Kurdi | Nature-inspired computing | Best Academic Researcher Award

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Prof. Heba Kurdi | Multi-View Data | Best Academic Researcher Award

Full Professor | King Saud University | Saudi Arabia

Prof. Heba Kurdi is a leading researcher in distributed artificial intelligence and cloud computing at King Saud University, Saudi Arabia. A Stanford-ranked top 2% scientist (2022–2024), she has produced over 120 research publications and holds eight patents in AI-driven systems, multi-agent technologies, and computational optimization. Her work spans distributed AI, swarm intelligence, and smart system design, with applications in robotics, cloud infrastructures, and cyber-physical systems. Prof. Kurdi has led more than 15 funded projects and consulted on national-level research initiatives with institutions such as KACST and Aramco. As an MIT Fellow and IEEE Senior Member, she continues to advance the integration of bio-inspired algorithms and AI-driven models to enhance system efficiency, scalability, and intelligence in both industrial and academic settings.

Profiles: Orcid | Google Scholar 

Featured Publications

Al-Rayis, E., & Kurdi, H. (2013). Performance analysis of load balancing architectures in cloud computing. 2013 European Modelling Symposium, 520–524. Citation count: 44.

Aljalaud, F., Kurdi, H., & Youcef-Toumi, K. (2023). Bio-inspired multi-UAV path planning heuristics: A review. Mathematics, 11(10), 2356. Citation count: 41.

Kurdi, H., Almulifi, A., Al-Megren, S., & Youcef-Toumi, K. (2021). A balanced evacuation algorithm for facilities with multiple exits. European Journal of Operational Research, 289(1), 285–296. Citation count: 39.

Kurdi, H., Alkhaider, S., & Alfaifi, N. (2014). Development and evaluation of a web-based question answering system for Arabic language. Computer Science & Information Technology (CS & IT), 4(2), 187–202. Citation count: 38.

Althnian, A., Aloboud, N., Alkharashi, N., Alduwaish, F., Alrshoud, M., & Kurdi, H. (2020). Face gender recognition in the wild: An extensive performance comparison of deep-learned, hand-crafted, and fused features with deep and traditional models. Applied Sciences, 11(1), 89. Citation count: 36.

Aviv Gibali | Applied Mathematics | Best Researcher Award

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Prof. Aviv Gibali | Applied Mathematics | Best Researcher Award

Researcher at Holon Institute of Technology, Israel

Dr. Aviv Gibali is a distinguished mathematician and researcher specializing in applied mathematics, optimization, and variational inequalities. He holds a Ph.D. from the Technion – Israel Institute of Technology and has completed postdoctoral studies at the Fraunhofer Institute for Industrial Mathematics in Germany. Currently serving as the Head of the Department of Applied Mathematics at HIT – Holon Institute of Technology, he has previously held leadership roles at ORT Braude College of Engineering. Dr. Gibali has made significant contributions through numerous scholarly publications, award presentations, and editorial positions in prestigious journals. His expertise spans optimization algorithms, superiorization techniques, and mathematical modeling with applications in science and engineering. Actively engaged in international collaborations and academic committees, he has also received multiple awards for his impactful research. His dedication to advancing mathematical methodologies and their real-world applications establishes him as a leading figure in the field.

Professional Profile 

Scopus Profile
ORCID Profile

Education

Dr. Aviv Gibali holds a strong academic background in mathematics, with degrees from prestigious institutions. He earned his Ph.D. in Mathematics from the Technion – Israel Institute of Technology in 2012, where his doctoral research focused on algorithms for solving variational inequalities and their applications under the supervision of Prof. Simeon Reich and Prof. Yair Censor. Prior to that, he completed his M.Sc. in Mathematics at the University of Haifa in 2008, working on iterative algorithms for solving variational inequality problems under the guidance of Prof. Yair Censor. His academic journey began with a B.Sc. in Mathematics from the University of Haifa in 2005. Following his Ph.D., Dr. Gibali pursued postdoctoral research in optimization at the Fraunhofer Institute for Industrial Mathematics (ITWM) in Kaiserslautern, Germany, from 2012 to 2014. His educational foundation has equipped him with deep expertise in mathematical modeling, optimization, and computational algorithms.

Professional Experience

Dr. Aviv Gibali is an accomplished mathematician and researcher specializing in optimization, variational inequalities, and applied mathematics. He currently serves as the Head of the Department of Applied Mathematics at HIT – Holon Institute of Technology and holds the rank of Associate Professor. Previously, he was an Associate Professor and Head of the Mathematics Department at ORT Braude College of Engineering. Dr. Gibali completed his Ph.D. at The Technion – Israel Institute of Technology and pursued postdoctoral research at the Fraunhofer Institute for Industrial Mathematics in Germany. His extensive academic contributions include serving as an associate editor for multiple prestigious journals, organizing international awards, and collaborating with leading institutions worldwide. With numerous invited talks, scientific visits, and interdisciplinary research projects, he has significantly advanced the field of mathematical optimization. His expertise spans theoretical advancements and industrial applications, earning him multiple awards and recognition in applied and computational mathematics.

Research Interest

Dr. Aviv Gibali’s research interests lie at the intersection of applied mathematics, optimization, and computational methods, with a strong focus on projection algorithms, variational inequalities, and convex feasibility problems. His work spans both theoretical advancements and real-world applications, particularly in industrial mathematics, medical imaging, radiation therapy planning, and data science. He has made significant contributions to superiorization techniques, an innovative approach to improving iterative algorithms for constrained optimization problems. Dr. Gibali is also actively engaged in developing and analyzing numerical algorithms for large-scale optimization, leveraging mathematical modeling to solve complex problems in engineering, machine learning, and healthcare. His interdisciplinary collaborations with international research institutions and industry partners enhance the practical impact of his studies. With a keen interest in mathematical education, he also contributes to innovative pedagogical methods, fostering a new generation of researchers in applied and computational mathematics.

Award and Honor

Dr. Aviv Gibali, a distinguished mathematician and researcher, has been widely recognized for his outstanding contributions to applied mathematics and optimization. He has received numerous accolades, including the prestigious Fourth Most Cited Article Award from Optimization Methods and Software in 2021, highlighting the impact of his research. In 2020, he secured First Prize in the Hackathon on Free Writing Home Exams, organized by Tel-Aviv University and Shenkar, demonstrating his innovative approach to education. His scholarly excellence has also been acknowledged through esteemed fellowships such as the Mathematics for Industry Network’s Short-Term Scientific Mission (2018) in Germany and the Austria-Israel Academic Network Innsbruck (AIANI) Fellowship (2017). With an extensive academic career, editorial roles in leading journals, and significant contributions to industrial mathematics, Dr. Gibali’s work continues to shape the field, earning him widespread recognition and respect within the global mathematical community.

Conclusion

Dr. Aviv Gibali is a distinguished researcher in applied mathematics, with a prolific academic career spanning optimization, variational inequalities, and superiorization techniques. His extensive contributions include over a decade of impactful research, international collaborations, editorial roles in leading mathematical journals, and leadership positions in academia. As an associate professor and head of the Department of Applied Mathematics at HIT – Holon Institute of Technology, Dr. Gibali has played a pivotal role in advancing mathematical research and fostering industry-academic partnerships. His numerous scientific visits, award organizations, and editorial engagements reflect his dedication to global knowledge dissemination. Recognized with prestigious awards and citations, he has demonstrated excellence in both theoretical advancements and real-world applications. While his achievements are remarkable, continued exploration of interdisciplinary applications and mentorship initiatives could further enhance his academic influence. Dr. Gibali’s scholarly impact and leadership make him a highly deserving candidate for the Best Researcher Award.

Publications Top Noted

  • Multidimensional Evolution Effects on Non-Cooperative Strategic Games
    Authors: Shipra Singh, Aviv Gibali, Simeon Reich
    Year: 2024
    Source: Mathematics
  • Resolvent-Free Method for Solving Monotone Inclusions
    Authors: Yan Tang, Aviv Gibali
    Year: 2023
    Source: Axioms
  • Special Issue “Symmetry in Optimization and Control with Real-World Applications”
    Authors: Kok Lay Teo, Aviv Gibali, Yong Wu
    Year: 2022
    Source: Symmetry
  • New Self-Adaptive Inertial-Like Proximal Point Methods for the Split Common Null Point Problem
    Authors: Yan Tang, Yeyu Zhang, Aviv Gibali
    Year: 2021
    Source: Symmetry
  • Multi-Time Generalized Nash Equilibria with Dynamic Flow Applications
    Authors: Shipra Singh, Aviv Gibali, Simeon Reich
    Year: 2021
    Source: Mathematics
  • An Analytic and Numerical Investigation of a Differential Game
    Authors: Aviv Gibali, Oleg Kelis
    Year: 2021
    Source: Axioms
  • Projected-Reflected Subgradient-Extragradient Method and Its Real-World Applications
    Authors: Aviv Gibali, O.S. Iyiola, Lanre Akinyemi, Yekini
    Year: 2021
    Source: Symmetry
  • A Symmetric FBF Method for Solving Monotone Inclusions
    Authors: Aviv Gibali, Yekini
    Year: 2020
    Source: Symmetry
  • Inertial Krasnoselskii–Mann Method in Banach Spaces
    Authors: Yekini Shehu, Aviv Gibali
    Year: 2020
    Source: Mathematics

 

Navneet Kumar Lamba | Applied Mathematics | Best Researcher Award | 2055

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Assist. Prof. Dr. Navneet Kumar Lamba | Applied Mathematics | Best Researcher Award

 Assistant Professor at Shri Lemdeo Patil Mahavidyalaya, Mandhal India

Dr. Navneet Kumar Lamba is an accomplished mathematician and researcher, currently serving as an Assistant Professor in the Department of Mathematics at Shri Lemdeo Patil Mahavidyalaya, Mandhal. With over 13 years of teaching and research experience, he specializes in Operations Research, Mathematical Modeling, Optimization Problems, and Solid Mechanics. He has published 60 research papers in peer-reviewed, Scopus, and Web of Science journals, authored 9 books, and contributed 3 book chapters. His research on infectious disease modeling, particularly COVID-19, has been widely recognized. He has received prestigious accolades, including the Research Excellence Award-2021 (UK) and multiple Best Paper Awards. Dr. Lamba has successfully supervised Ph.D. scholars and plays a key role in various academic committees. An active member of multiple professional bodies, he has also organized national awards. His commitment to research and academia makes him a distinguished scholar in the field of Computational Mathematics.

Professional Profile 

Scopus Profile
ORCID Profile 

Education

Dr. Navneet Kumar Lamba holds a Ph.D. in Mathematics from R.T.M. Nagpur University, awarded in 2013, demonstrating his expertise in advanced mathematical research. He earned his Master of Science (M.Sc.) in Mathematics from the same university in 2007, securing the 3rd Merit position at the university level with an impressive 67.7%. His Bachelor of Science (B.Sc.) degree, with a focus on Physics, Chemistry, and Mathematics, was completed at D.A.V. College, Jalandhar, under Guru Nanak Dev University, Amritsar, in 2005 with 63.5% (First Division). His early education includes Higher Secondary (XII) from St. Thomas School, Jalandhar (CBSE, New Delhi), where he scored 60.5%, and Secondary Education (X) from Bright Buds School, Jaipur (Rajasthan Board) with 59.33%. His strong academic foundation, coupled with continuous research and teaching excellence, has contributed significantly to his standing as a distinguished mathematician and educator.

Professional Experience

Dr. Navneet Kumar Lamba is a distinguished academician and researcher with over 13 years and 2 months of experience in teaching and research. Currently serving as an Assistant Professor and Head of the Department of Mathematics at Shri Lemdeo Patil Mahavidyalaya, Mandhal, he has made significant contributions to the fields of Operations Research, Mathematical Modeling, and Solid Mechanics. His professional journey includes teaching positions at Dronacharya College of Engineering, Gurugram, Priyadarshini Institute of Engineering & Technology, Nagpur, and Nagarjuna Institute of Engineering, Technology, and Management, Nagpur. He has guided Ph.D. scholars, authored 9 books and 60+ research papers, and actively participates in academic leadership roles such as IQAC Cell, Research & Development Cell, and Teacher Guardian Scheme. His work has earned him multiple accolades, including the Research Excellence Award-2021 and Best Paper Awards (2021, 2023), solidifying his reputation as a leading researcher in applied mathematics.

Research Interest

Dr. Navneet Kumar Lamba’s research interests span a broad spectrum of fundamental and applied mathematics, focusing primarily on Operations Research, Mathematical Modeling, Optimization Problems, and Solid Mechanics. His work in linear programming and algorithmic methodologies has contributed to developing efficient problem-solving techniques. He has also made significant strides in boundary value problems, applied modeling of infectious diseases, and thermal stress analysis in solid mechanics, particularly in studying memory-dependent thermoelastic responses. His recent research delves into the fractional-order heat conduction models, hygrothermal effects in materials, and thermosensitive structures. Additionally, Dr. Lamba has explored the mathematical modeling of COVID-19 transmission dynamics, providing valuable insights into epidemiological trends. With over 60 research publications in Scopus, Web of Science, and UGC Care-listed journals, his work continues to impact both theoretical and applied aspects of mathematics. His research aims to bridge gaps between mathematical theory and real-world applications, fostering innovation and problem-solving in diverse domains.

Award and Honor

Dr. Navneet Kumar Lamba has been recognized for his outstanding contributions to research and academia with several prestigious awards and honors. He received the Research Excellence Award-2021 from the National Health Service England (UK) and Chintamani Mahavidyalaya, acknowledging his significant research in mathematics and its applications. His exceptional scholarly work has also earned him Best Paper Awards in 2021 and 2023 at the International Conference on Advancement in Science, Technology, and Management. With a distinguished academic career spanning over 13 years, Dr. Lamba has authored 60 research papers in reputed peer-reviewed journals, 9 books, and 3 book chapters, further cementing his position as a leading researcher in mathematics. Additionally, he has guided Ph.D. scholars, actively participated in national and international awards, and contributed to institutional development through key academic committees. His dedication to mathematical research, teaching, and mentorship has earned him widespread recognition in the academic community.

Conclusion

Dr. Navneet Kumar Lamba is a distinguished academician and researcher with over 13 years of experience in mathematics, specializing in operations research, mathematical modeling, and optimization problems. His impressive portfolio includes 60 peer-reviewed research papers, 9 authored books, and multiple accolades such as the Research Excellence Award-2021 and Best Paper Awards in 2021 and 2023. As an Assistant Professor and Head of Department, he has contributed significantly to academia through research supervision, professional memberships, and leadership roles in various academic committees. His work on infectious disease modeling, particularly COVID-19, highlights his commitment to applied research. While his contributions are exemplary, further enhancements in citation impact, global collaborations, and research grants would strengthen his research influence. Overall, Dr. Lamba’s dedication to research, teaching, and academic leadership makes him a strong contender for the Best Researcher Award, recognizing his invaluable contributions to mathematics and scientific advancements.

Publications Top Noted

  • A Sustainable Inventory Model with Advertisement Effort for Imperfect Quality Items under Learning in Fuzzy Monsoon Demand
    • Authors: Alamri, O.A.; Lamba, N.K.; Jayaswal, M.K.; Mittal, M.
    • Year: 2024
  • Memory Dependent Response in an Infinitely Long Thermoelastic Solid Circular Cylinder
    • Authors: Lamba, N.K.; Deshmukh, K.C.
    • Year: 2024
  • Quasi-static Thermal Response of a Circular Plate due to the Influence of Memory-dependent Derivatives
    • Authors: Lamba, N.K.
    • Year: 2024
  • Thermal Characteristics of a Multilayered Annular Disk with Thermosensitive Features using a Fractional-order Heat Conduction Model
    • Authors: Lamba, N.K.; Manthena, V.R.; Bhad, P.P.; Srinivas, V.B.; Abouelregal, A.E.
    • Year: 2024
  • Thermal Stresses Associated with a Thermosensitive Multilayered Disc Analysed Due to Point Heating
    • Authors: Srinivas, V.B.; Manthena, V.R.; Warbhe, S.D.; Kedar, G.D.; Lamba, N.K.
    • Year: 2024
  • Memory-based Thermoelastic Modelling of an Annular Disc under Heating and Cooling Processes
    • Authors: Lamba, N.K.; Varhadpande, I.; Murty, V.R.K.
    • Year: 2024
  • Impact of Memory-dependent Response of a Thermoelastic Thick Solid Cylinder
    • Authors: Lamba, N.K.
    • Year: 2023
  • Hygrothermoelastic Response of a Finite Hollow Circular Cylinder
    • Authors: Lamba, N.K.; Deshmukh, K.C.
    • Year: 2022
  • Memory Impact of Hygrothermal Effect in a Hollow Cylinder by Theory of Uncoupled-Coupled Heat and Moisture
    • Authors: Verma, J.; Lamba, N.K.; Deshmukh, K.C.
    • Year: 2022
  • Thermosensitive Response of a Functionally Graded Cylinder with Fractional Order Derivative
    • Authors: Lamba, N.K.
    • Year: 2022
  • A Comparative Study of COVID-19 Pandemic in Rajasthan, India
    • Authors: Jayaswal, M.K.; Lamba, N.K.; Yadav, R.; Mittal, M.
    • Year: 2021
  • Impact of COVID-19: A Mathematical Model
    • Authors: Warbhe, S.D.; Lamba, N.K.; Deshmukh, K.C.
    • Year: 2021
  • Mathematical Modelling of COVID-19 in Pregnant Women and Newly Borns
    • Authors: Lamba, N.K.; Warbhe, S.D.; Deshmukh, K.C.
    • Year: 2021
  • Hygrothermoelastic Response of a Finite Solid Circular Cylinder
    • Authors: Lamba, N.K.; Deshmukh, K.C.
    • Year: 2020
  • Thermal Behavior of a Finite Hollow Cylinder in Context of Fractional Thermoelasticity with Convection Boundary Conditions
    • Authors: Kumar, N.; Kamdi, D.B.
    • Year: 2020