Badr Abou El Majd | Applied Mathematics | Mathematical Engineering Excellence Award

Published on by Math Scientist

Prof. Dr. Badr Abou El Majd | Applied Mathematics | Mathematical Engineering Excellence Award

Full Professor at Mohammed V University, Morocco

Dr. Badr Abou El Majd is a distinguished Professor of Applied Mathematics at Mohammed V University, Rabat, with extensive expertise in multidisciplinary optimization, shape design, AI-driven modeling, and computational engineering. Holding a Ph.D. from INRIA Sophia Antipolis and a Master’s from Pierre and Marie Curie University, his research spans aerospace, transportation, smart systems, and biomedical applications. He has authored over 80 peer-reviewed publications, edited scientific volumes, and holds several patents. As a leader in numerous international research projects and conferences, including EU Erasmus+ and IEEE events, Dr. Abou El Majd has demonstrated remarkable scientific leadership. His contributions to innovation, education, and cross-border collaboration are further recognized through awards like the Distinguished Scholar Award (2023–24), making him a pivotal figure in advancing research that bridges theory, technology, and real-world societal needs

Professional Profile

Google Scholar | Scopus Profile  

Education

Dr. Badr Abou El Majd holds a Ph.D. in Applied Mathematics from INRIA Sophia Antipolis – Méditerranée, France (2007), where he specialized in hierarchical algorithms and game strategies for multidisciplinary optimization, with applications in aerospace design. His doctoral work was conducted in collaboration with Dassault Aviation and Piaggio Aero, demonstrating strong industrial-academic integration. He also earned a Master’s degree in Numerical Analysis from Pierre and Marie Curie University (UPMC – Paris 6), one of Europe’s leading institutions in mathematical sciences. His early academic path was marked by a strong foundation in computational mathematics, optimization, and numerical modeling. These formative years provided the analytical and algorithmic rigor that continues to define his research contributions across disciplines such as aerospace engineering, smart systems, and data-driven decision-making.

Experience

With over two decades of academic and research experience, Dr. Abou El Majd has held prominent roles in Morocco and internationally. He is currently a Full Professor at Mohammed V University, Rabat. Previously, he served as an Associate Professor at both the International University of Rabat and Hassan II University in Casablanca. His international exposure includes visiting and research positions at INRIA Lille, University of Lille, and Polytechnique Montréal. He also worked as a scientist researcher at École Centrale Paris and completed post-doctoral research at CNRS/ENSMA. He has led and coordinated large-scale research and tech-transfer projects involving multiple institutions, government bodies, and industry leaders. This broad experience has enabled him to seamlessly bridge academic theory, industrial application, and international collaboration in fields ranging from aerospace to smart agriculture.

Research Interests

Dr. Abou El Majd’s research is deeply rooted in applied mathematics and multidisciplinary optimization, with expansive interests spanning aerodynamic shape design, robust optimization, artificial intelligence, model reduction, decision-making systems, and digital twin frameworks. He actively explores how machine learning, game theory, and numerical methods can be applied to real-world engineering and societal problems. His work spans diverse domains including aerospace design, RFID networks, cognitive radio, smart agriculture, biomedical imaging, and manufacturing optimization. Through his research, he aims to solve high-dimensional, complex optimization problems while ensuring scalability and industrial relevance. He has recently focused on surrogate modeling, AutoML, and intelligent systems for healthcare diagnostics and infrastructure planning, reflecting a strong commitment to leveraging computational science for impactful, cross-disciplinary solutions.

Award and Honor

Dr. Abou El Majd’s contributions to science and innovation have earned him several prestigious honors. Most notably, he received the Distinguished Scholar Award (2023–24) from the Arab Fund for Economic and Social Development, in collaboration with the University of Lille—an acknowledgment of his outstanding research achievements and academic leadership. Earlier, his doctoral studies were supported by a competitive scholarship from Dassault Aviation and Piaggio Aero, underscoring the industrial relevance of his research. He has also secured major research grants from Erasmus+, CNRST Morocco, TUBITAK Turkey, and the OCP Foundation, amounting to several million dirhams. These accolades reflect not only the scientific merit of his work but also its strategic importance in fields such as transportation, defense, AI, and healthcare systems optimization.

Research Skills

Dr. Abou El Majd possesses a robust and diverse skill set spanning numerical optimization, algorithm design, scientific programming, and AI integration. He is proficient in developing multilevel optimization frameworks, parameterization techniques, and model reduction strategies. His capabilities extend to software architecture, cloud platform development, and AI-enhanced decision systems. He has implemented and applied methods like genetic algorithms, particle swarm optimization, and POD-based reduced-order modeling. His technical expertise is complemented by certifications in Business Intelligence (IBM), Big Data Analytics (Griffith University), and Artificial Intelligence (Accenture). His ability to lead multidisciplinary teams and integrate computational techniques with industrial challenges makes him an effective innovator and collaborator. He also brings strong experience in simulation, CFD, robust design, and real-time optimization across diverse technological sectors.

Publication Top Notes

  • Title: Calibration of POD Reduced‐Order Models Using Tikhonov Regularization
    Authors: L. Cordier, B. Abou El Majd, J. Favier
    Year: 2010
    Citations: 183

  • Title: Nested and Self-Adaptive Bézier Parameterizations for Shape Optimization
    Authors: J.A. Désidéri, B. Abou El Majd, A. Janka
    Year: 2007
    Citations: 90

  • Title: A Particle Swarm Optimization Based Algorithm for Primary User Emulation Attack Detection
    Authors: W.F. Fihri, Y. Arjoune, H. El Ghazi, N. Kaabouch, B. Abou El Majd
    Year: 2018
    Citations: 34

  • Title: Multilevel Strategies for Parametric Shape Optimization in Aerodynamics
    Authors: B. Abou El Majd, J.A. Désidéri, R. Duvigneau
    Year: 2008
    Citations: 28

  • Title: Deep Learning-Based Intrusion Detection System for Advanced Metering Infrastructure
    Authors: Z. El Mrabet, M. Ezzari, H. Elghazi, B.A. El Majd
    Year: 2019
    Citations: 24

  • Title: Primary User Emulation Attacks: A Detection Technique Based on Kalman Filter
    Authors: Z.E. Mrabet, Y. Arjoune, H.E. Ghazi, B.A.A. Majd, N. Kaabouch
    Year: 2018
    Citations: 23

  • Title: Embedding Lattice Structures into Ship Hulls for Structural Optimization and Additive Manufacturing
    Authors: A. Armanfar, A.A. Tasmektepligil, R.T. Kilic, S. Demir, S. Cam, Y. Karafi, B.A. El Majd, et al.
    Year: 2024
    Citations: 20

  • Title: Bayesian Decision Model with Trilateration for Primary User Emulation Attack Localization in Cognitive Radio Networks
    Authors: W.F. Fihri, H. El Ghazi, N. Kaabouch, B.A. El Majd
    Year: 2017
    Citations: 20

  • Title: Homogenization of Periodic Structured Materials with Chiral Properties
    Authors: O. Ouchetto, B.A. El Majd, H. Ouchetto, B. Essakhi, S. Zouhdi
    Year: 2016
    Citations: 20

  • Title: Aerodynamic Shape Optimization Using a Full and Adaptive Multilevel Algorithm
    Authors: B. Abou El Majd, R. Duvigneau, J.A. Désidéri
    Year: 2006
    Citations: 20

  • Title: LSTM-Based Neural Network Architecture for Predicting the Nonlinear Dynamic Behavior of Functional Gradient Viscoelastic Porous Plates
    Year: 2025
    Citations: 1

  • Title: Robust Shape Optimization Using Artificial Neural Networks Based Surrogate Modeling for an Aircraft Wing
    Year: 2024
    Citations: 2

Conclusion

Dr. Badr Abou El Majd exemplifies the modern researcher—analytically rigorous, deeply interdisciplinary, and globally connected. With a rich academic background, impactful research portfolio, and broad leadership experience, he stands as a leading figure in applied mathematics and computational engineering. His ability to bridge theoretical models with industrial and societal needs—through projects in aerospace, healthcare, and smart systems—demonstrates both vision and practical utility. Through international collaborations, patents, high-impact publications, and mentorship roles, he continues to shape emerging research frontiers. His blend of technical depth, strategic leadership, and commitment to innovation make him not only a deserving recipient of high research honors but also a catalyst for future scientific and technological advancements in global contexts.

Hao Guo | Pure Mathematics | Best Researcher Award

Published on by Math Scientist

Assist. Prof. Dr. Hao Guo | Pure Mathematics | Best Researcher Award

Assistant Professor at Tsinghua University, China

Dr. Hao Guo 🎓 is a leading early-career mathematician specializing in geometric analysis, noncommutative geometry, and quantitative K-theory 📐📊. Currently a tenure-track Assistant Professor at the Yau Mathematical Sciences Center, Tsinghua University 🏛️, he has authored impactful publications in top-tier journals such as Journal of Functional Analysis and Mathematische Annalen 📚. His research advances understanding of scalar curvature and index theory, with applications in modern mathematical physics 🔬. Dr. Guo is also an invited speaker at prestigious global seminars 🌏 and a co-author of an upcoming CBMS monograph with the AMS 🖋️. His contributions to both teaching and research have earned him the 2024 Ruo Lin Award 🏅. Through academic leadership, global collaboration 🤝, and deep theoretical insight, Dr. Guo exemplifies innovation and excellence in contemporary mathematics.

Professional Profile 

🎓 Education

Dr. Hao Guo holds a Ph.D. in Pure Mathematics (2018) from the University of Adelaide, Australia, where his thesis focused on Positive Scalar Curvature and Callias-Type Index Theorems for Proper Actions under the supervision of Professors Varghese Mathai and Hang Wang. 📘 He earned his B.Sc. with First Class Honours (2016) from the University of Sydney, completing a thesis on De Rham-Hodge Theory and Witten’s Deformation. 📚 His educational journey reflects strong foundations in differential geometry, index theory, and noncommutative geometry. With training from top Australian institutions and mentorship from internationally respected mathematicians, Dr. Guo has developed both depth and versatility in mathematical thinking, setting the stage for his impactful contributions to geometric analysis and operator algebras. 🧠✏️

💼 Professional Experience

Dr. Guo currently serves as a tenure-track Assistant Professor at the Yau Mathematical Sciences Center, Tsinghua University (2022–present) 🏫, one of Asia’s leading mathematical institutes. Prior roles include ARC Research Associate at the University of Adelaide (2020–2021) and Visiting Assistant Professor at Texas A&M University (2018–2020) 🌐. These positions have enabled him to collaborate across continents, engage in deep theoretical work, and teach a variety of advanced mathematics courses. 👨‍🏫 He has also taken on leadership roles in organizing international conferences and working seminars, reflecting his commitment to academic community-building. His professional path is marked by global experience, cross-disciplinary exposure, and a trajectory toward excellence in both research and education. 🌍📈

🔬 Research Interests

Dr. Guo’s research lies at the intersection of differential geometry, operator algebras, noncommutative geometry, and quantitative K-theory. 🧮 His work focuses on problems related to positive scalar curvature, higher index theory, and coarse geometry. Using advanced analytic and topological tools, he has contributed to the development of equivariant index theorems and functoriality in higher rho invariants. 📐 His recent research explores covering complexity, band width problems, and large-scale geometric invariants. By blending geometric intuition with deep algebraic structures, Dr. Guo addresses some of the most intricate and abstract questions in modern mathematics—pushing forward the boundaries of theoretical research with high impact and originality. 🧠🔍

🏅 Awards and Honors

Dr. Hao Guo has received multiple accolades recognizing both his research and teaching excellence. Most notably, he was awarded the 2024 Ruo Lin Award at Tsinghua University for an outstanding research paper. 🥇 During his Ph.D., he earned the Dean’s Commendation for Doctoral Thesis Excellence (2018) and the Walter & Dorothy Duncan Trust Travel Grant (2017). 🎓 Earlier, he was honored with the B.H. Neumann Prize (2016) for the best student talk at the Annual Meeting of the Australian Mathematical Society. 🏆 His diverse recognitions—from thesis to teaching awards—demonstrate a well-rounded academic profile, blending innovation, communication, and rigor across his career. 💡📜

🧠 Research Skills

Dr. Guo demonstrates expertise in a wide range of mathematical and technical skills. He is proficient in geometric analysis, index theory, and operator algebras, with deep command of tools in noncommutative geometry and K-theory. 🔢 He is also skilled in computational platforms such as Mathematica, MATLAB, Python, and LaTeX—essential for both analytical computation and formal mathematical writing. 💻 In addition, Dr. Guo has excellent academic writing and presentation abilities, having delivered over 30 invited talks and lectures at major international conferences and seminars. 📊 His collaborative approach and methodological rigor make him a highly effective contributor to both independent and team-based research environments. 🤝📈

Publications Top Note 📝

  • Title: Quantitative K-Theory, Positive Scalar Curvature, and Band Width
    Authors: H. Guo, Z. Xie, G. Yu
    Year: 2020
    Citations: 18
    Source: Perspectives on Scalar Curvature, edited by M.L. Gromov and H.B. Lawson Jr., pp. 763–798

  • Title: Positive Scalar Curvature and Poincaré Duality for Proper Actions
    Authors: H. Guo, V. Mathai, H. Wang
    Year: 2019
    Citations: 14
    Source: Journal of Noncommutative Geometry, Vol. 13(4), pp. 1381–1433

  • Title: Equivariant Callias Index Theory via Coarse Geometry
    Authors: H. Guo, P. Hochs, V. Mathai
    Year: 2021
    Citations: 12
    Source: Annales de l’Institut Fourier, Vol. 71(6), pp. 2387–2430

  • Title: Index of Equivariant Callias-Type Operators and Invariant Metrics of Positive Scalar Curvature
    Authors: H. Guo
    Year: 2021
    Citations: 10
    Source: The Journal of Geometric Analysis, Vol. 31(1), pp. 1–34

  • Title: A Lichnerowicz Vanishing Theorem for the Maximal Roe Algebra
    Authors: H. Guo, Z. Xie, G. Yu
    Year: 2023
    Citations: 8
    Source: Mathematische Annalen, Vol. 385(1), pp. 717–743

  • Title: Coarse Geometry and Callias Quantisation
    Authors: H. Guo, P. Hochs, V. Mathai
    Year: 2021
    Citations: 8
    Source: Transactions of the American Mathematical Society, Vol. 374(4), pp. 2479–2520

  • Title: Positive Scalar Curvature and an Equivariant Callias-Type Index Theorem for Proper Actions
    Authors: H. Guo, P. Hochs, V. Mathai
    Year: 2021
    Citations: 5
    Source: Annals of K-Theory, Vol. 6(2), pp. 319–356

  • Title: Functoriality for Higher Rho Invariants of Elliptic Operators
    Authors: H. Guo, Z. Xie, G. Yu
    Year: 2021
    Citations: 3
    Source: Journal of Functional Analysis, Vol. 280(10), Article 108966

  • Title: Covering Complexity, Scalar Curvature, and Quantitative K-Theory
    Authors: H. Guo, G. Yu
    Year: 2022
    Citations: 2
    Source: arXiv preprint, arXiv:2203.15003

  • Title: An Equivariant Poincaré Duality for Proper Cocompact Actions by Matrix Groups
    Authors: H. Guo, V. Mathai
    Year: 2022
    Citations: 1
    Source: Journal of Noncommutative Geometry, Vol. 16(4)

  • Title: Positive Scalar Curvature and Callias-Type Index Theorems for Proper Actions
    Authors: H. Guo
    Year: 2019
    Citations: 1
    Source: Bulletin of the Australian Mathematical Society, Vol. 99(2), pp. 342–343

  • Title: A Higher Index and Rapidly Decaying Kernels
    Authors: H. Guo, P. Hochs, H. Wang
    Year: 2025
    Source: arXiv preprint, arXiv:2505.02498

  • Title: A Higher Index on Finite-Volume Locally Symmetric Spaces
    Authors: H. Guo, P. Hochs, H. Wang
    Year: 2024
    Source: arXiv preprint, arXiv:2407.16275

  • Title: Higher Localised Â-Genera for Proper Actions and Applications
    Authors: H. Guo, V. Mathai
    Year: 2022
    Source: Journal of Functional Analysis, Vol. 283(12), Article 109695

✅ Conclusion

Dr. Hao Guo stands out as a rising leader in pure mathematics, combining rigorous theoretical research with a global academic presence. 🌟 His work on scalar curvature, index theory, and noncommutative geometry has garnered international attention, bolstered by prestigious awards and high-impact publications. 📚 As an educator, speaker, and mentor, he has made meaningful contributions to mathematical communities across Asia, Australia, and the U.S. 🌏 With strong research momentum, cross-disciplinary skills, and leadership in academic initiatives, Dr. Guo exemplifies the qualities of a world-class scholar. 🧑‍🔬 He is exceptionally well-suited for recognition through a Best Researcher Award and promises continued innovation in the mathematical sciences. 🏅📐

Pengyu Chen | Analysis (Real, Complex, Functional) | Best Researcher Award

Published on by Math Scientist

Prof. Pengyu Chen | Analysis (Real, Complex, Functional) | Best Researcher Award

Leading talent at Northwest Normal University, China

Dr. Pengyu Chen 🎓, an esteemed Associate Professor at Northwest Normal University 🇨🇳, stands out as a rising luminary in the realm of nonlinear analysis and infinite-dimensional dynamical systems 🔬📈. With over 75 published research articles 📚 and more than 1,300 citations 🌟, his contributions resonate across stochastic differential equations, fractional calculus, and random attractors in complex systems. Dr. Chen’s research is deeply rooted in functional analysis and applied mathematics, with innovative explorations into reaction-diffusion systems and BBM equations driven by nonlinear noise 🌊📊. His works reveal deep insights into asymptotic behavior and long-term dynamics of stochastic processes, marking him as a pioneer in modern mathematical modeling 💡🧠. Actively collaborating internationally and mentoring young scholars, Dr. Chen continues to elevate the frontiers of applied mathematics through precision, creativity, and scholarly excellence 🧮🤝. A worthy contender for the Best Researcher Award, his academic passion and innovation are truly commendable 🏅🔍.

Professional Profile

Scopus Profile
ORCID Profile

Education 🎓

Dr. Pengyu Chen has an extensive educational background, culminating in a PhD in Applied Mathematics. His academic path laid the groundwork for his specialization in nonlinear analysis and infinite-dimensional dynamical systems. Dr. Chen’s research focuses on advanced mathematical theories and computational models, reflecting his solid understanding of both pure and applied mathematics. His educational journey provided him with the necessary tools to excel in complex areas such as stochastic processes, fractional evolution equations, and random dynamical systems, which have become central themes in his career.

Professional Experience 💼

Dr. Chen is currently an Associate Professor at Northwest Normal University in Lanzhou, China. Over the years, he has shaped the academic landscape by guiding students, mentoring budding researchers, and teaching various advanced mathematics courses. His professional experience extends beyond academia through his involvement in numerous collaborative projects and consultancy roles, where his expertise in nonlinear analysis has influenced practical solutions in applied mathematics. His work continues to bridge the gap between theoretical research and real-world applications, demonstrating his multifaceted contributions to the field.

Research Interests 🔬

Dr. Chen’s research interests span across nonlinear analysis, infinite-dimensional dynamical systems, and stochastic processes. His focus includes studying the asymptotic behavior of mathematical models, particularly in reaction-diffusion and fractional evolution equations. He also investigates the effects of noise and randomness in complex systems, contributing significantly to the understanding of random attractors and stochastic differential equations. Dr. Chen’s work explores mathematical models with applications in physics, engineering, and other scientific domains, driving innovation in the field of applied mathematics.

Awards and Honors 🏆

Dr. Pengyu Chen’s work has earned him widespread recognition in the academic world. His numerous publications in top-tier journals have made significant contributions to the advancement of nonlinear analysis and dynamical systems. His research is highly cited, and he has been the recipient of several academic honors that highlight his expertise in applied mathematics. These accolades reflect not only his technical proficiency but also his ability to solve complex mathematical problems with practical implications in various industries and research fields.

Conclusion ✨

In conclusion, Dr. Pengyu Chen is a leading figure in applied mathematics, with a strong academic background, substantial professional experience, and a focus on innovative research. His contributions to nonlinear analysis, dynamical systems, and stochastic processes have had a profound impact on both the theoretical and practical aspects of mathematics. Dr. Chen’s work continues to inspire and shape the future of applied mathematics, making him a strong candidate for recognition as one of the best researchers in his field.

Publications Top Notes

  • Weak Mean Attractors of Fractional Stochastic Lattice Systems
    Authors: Ailin Bai; Pengyu Chen
    Source: Electronic Journal of Applied Mathematics
    Year: 2024
    Summary: This work discusses the weak mean attractors in stochastic systems with fractional orders, addressing their impact in complex systems influenced by delays and nonlinearity. 🌐

  • Multivalued Random Dynamics of Benjamin-Bona-Mahony Equations
    Authors: Chen, P.; Wang, B.; Wang, R.; Zhang, X.
    Source: Mathematische Annalen
    Year: 2023
    Summary: This paper explores the multivalued random dynamics of BBM equations, providing new insights into the interaction of noise and nonlinearity in unbounded domains. 🔁

 

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

Published on by Math Scientist

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