Andrea Cynthia Santos | Operational research | Research Excellence Distinction Award

Prof. Dr. Andrea Cynthia Santos | Operational research | Research Excellence Distinction Award

Le Havre Normandie University, Engineering Institute of Logistics (ISEL) | France

Prof. Dr. Andréa Cynthia Santos is a leading scholar in Computer Science whose research lies at the intersection of Operations Research, urban systems, and large-scale disaster management. Her work focuses on developing advanced optimization models, algorithms, and decision-support approaches that address complex sociotechnical challenges in industrial, natural, and health-related crisis scenarios. She is widely recognized for contributions to integrated routing, scheduling, robust optimization, network design, drone-based search strategies, and humanitarian logistics in post-disaster environments. Her research is characterized by strong interdisciplinary engagement, combining computational optimization, artificial intelligence, and systems engineering to improve resilience and sustainability in modern cities. She has produced a substantial body of scientific work, including numerous international journal articles, book chapters, and conference contributions, and has played a key role in organizing international scientific events. Beyond her research activity, she has demonstrated significant leadership in academic administration and scientific strategy, including directing major institutional programs, steering research initiatives, and contributing to national and international committees. She has led multiple research projects across national, regional, industrial, and international collaborations, supported by multidisciplinary teams. Her supervision of PhD candidates, postdoctoral researchers, and master’s students reflects her strong commitment to academic mentorship and capacity building. She has also served as an evaluator for global research organizations and participated in expert panels spanning science, technology, and innovation. Her professional experience includes roles in academic governance, digital transformation, international relations, curriculum development, and research program management, positioning her as an influential figure in the fields of operations research, logistics innovation, and sustainable urban systems.

Profiles: Scopus | Orcid

Featured Publications

Barbalho, T. J., Jiménez Laredo, J. L., & Santos, A. C. (2025). The resource-constrained project scheduling problem for risk reduction after industrial disasters involving dangerous substances. OR Spectrum. Advance online publication.

Coco, A. A., Duhamel, C., Santos, A. C., & Haddad, M. N. (2024). Solving the probabilistic drone routing problem: Searching for victims in the aftermath of disasters. Networks, (July 2024).

Duhamel, C., & Santos, A. C. (2024). The strong network orientation problem. International Transactions in Operational Research.

Haddad, M. N., Santos, A. C., Duhamel, C., & Coco, A. A. (2023). Intelligent drone swarms to search for victims in post-disaster areas. Sensors, 23(23), 9540.

De Freitas, C. C., Aloise, D. J., Fontes, F. F. C., Santos, A. C., & Menezes, M. S. (2023). A biased random-key genetic algorithm for the two-level hub location routing problem with directed tours. OR Spectrum, 45, 1–26.

Maham Mujahid | Applied Mathematics | Best Researcher Award

Ms. Maham Mujahid | Applied Mathematics | Best Researcher Award

The Islamia University of Bahwalapur | Pakistan

Ms. Maham Mujahid is a mathematics researcher whose work centers on advanced fluid mechanics, with a particular emphasis on viscous and non-Newtonian fluid flows, nanofluid behavior, heat and mass transfer processes, and rheological analysis in complex geometries such as corrugated and curved channels. Her research integrates analytical and computational techniques, including perturbation methods and numerical simulations, to investigate pressure-driven flows, magnetized and hybrid nanofluids, nonlinear fluid models, slip and convective constraints, porous media effects, and entropy production in multiphase or biological flow environments. She has contributed significantly to the understanding of transport phenomena by publishing in high-impact international journals, covering themes such as Casson, Jeffrey, and Carreau-type fluids, thermal radiation, viscous dissipation, permeability, and metachronal wave motion. Her scholarly contributions also extend to hybrid nanofluid modeling based on Yamada–Ota and Xue frameworks, demonstrating her command of emerging areas in thermofluid systems. Alongside her research activities, she has gained substantial teaching experience at both undergraduate and graduate levels in courses related to calculus, linear algebra, integral equations, differential equations, numerical analysis, and fluid mechanics, consistently integrating theoretical knowledge with practical scientific applications. She is skilled in Mathematica, MATLAB, and various computational and productivity tools, enabling precise modeling, visualization, and academic communication. Her broader interests include computational fluid dynamics, non-Newtonian rheology, and the study of thermal and multiphase transport in engineered and natural systems, reflecting a strong commitment to advancing mathematical and physical sciences through research, teaching, and continuous professional development.

Profiles: Scopus | Google Scholar

Featured Publications

Mujahid, M., Abbas, Z., & Rafiq, M. Y. (2024). A study on the pressure‐driven flow of magnetized non‐Newtonian Casson fluid between two corrugated curved walls of an arbitrary phase difference. Heat Transfer, 53(8), 4510–4527.

Mujahid, M., Abbas, Z., & Rafiq, M. Y. (2024). Rheological study of water-based Cu nanofluid between two corrugated curved walls under constant pressure gradient. Alexandria Engineering Journal, 106, 691–703.

Mujahid, M., Abbas, Z., & Rafiq, M. Y. (2025). Flow of hybrid nanofluids between two permeable corrugated curved walls using Yamada–Ota and Xue models with variable viscosity. Physics of Fluids, 37(2).

Mujahid, M., Abbas, Z., & Rafiq, M. Y. (2024). Rheological analysis of pressure-driven Jeffrey fluid flow between corrugated porous curved walls with slip constraints. AIP Advances, 14(9).

Rafiq, M. Y., Abbas, Z., Munawar, F., Mujahid, M., & Durrani, A. (2025). Exploring entropy production in metachronal wave motion of Carreau fluid in a channel under lubrication hypothesis. International Journal of Thermofluids, 27, 101198.

Siddhartha Kundu | Mathematics | Best Researcher Award

Assoc. Prof. Dr. Siddhartha Kundu | Mathematics |  Best Researcher Award

Associate Professor at All India Institute Of Medical Sciences Delhi, India

Dr. Siddhartha Kundu is an Associate Professor in the Department of Biochemistry at the All India Institute of Medical Sciences (AIIMS), New Delhi. He holds an MBBS, MD, and PhD, and brings extensive expertise in clinical biochemistry and molecular diagnostics. With a strong background in academic research and teaching, Dr. Kundu has contributed to several national and international scientific publications. He is actively engaged in advancing biochemical research and medical education in India.

Profile:

Professional Experience:

With over 20 years of post-MD experience, Dr. Siddhartha Kundu is a medical doctor and biochemical scientist with recognized contributions in teaching, research, and academic leadership.

  • Teaching/Research: 18+ years

  • Advisory Roles: 2+ years

  • Leadership Positions: 2+ years

Research Interests:

  • Mathematical Modeling of macromolecules and complex biochemical systems (both physiological and pathological)

  • Bioinformatics & Algorithm Development for molecular biology applications

Technical Skills:

  • Programming Languages: PERL, C, Python

  • Data Analysis Platforms: R, Cygwin

  • Bioinformatics: Algorithm design, modeling, and simulation

Editorial Contributions:

  • Invited Reviewer for peer-reviewed journals such as:

    • Scientific Reports

    • Bioinformatics

    • PLOS ONE

    • Indian Journal of Medical Research (IJMR)

Research Output:

(A) Software and Servers Developed

  1. TemporalGSSA
    R package for time-step parameterization in biochemical networks.

  2. ReDirection
    R package for calculating dissociation constants and dominant reaction direction.

  3. ProTG4
    Web server predicting protein sequences from TG4-mapped peptide libraries.

  4. Fe2OG
    Web server predicting Fe(II)/2-oxoglutarate-dependent dioxygenase functions.

(B) Selected Peer-Reviewed Publications

(Author is sole and corresponding author in most; # = single author, * = corresponding)

  1. Kundu S#*. Scientific Reports (2024) – Dissociation constants in biochemical networks.

  2. Kundu S#*. Front Mol Biosci (2023) – ReDirection R-package.

  3. Kundu S#*. Math Biosci Eng (2022) – Ligand interactions as eigenvalue functions.

  4. Kundu S#*. J Bioinf Comp Biol (2022) – TemporalGSSA.

  5. Kundu S#*. Bioinform Biol Insights (2021) – ProTG4 server.

(Full publication list available upon request or via PubMed search)

(C) Conferences, Abstracts & Chapters

  • Conference Abstract: “Role of mathematical models in elucidating biochemical rules”, WGC Singapore (2018).

  • Book Reviews: National Medical Journal of India (2005), Indian Journal of History of Science (2006)

(D) Posters

Presented at:

  • BIOSPARKS 2018, JNU, New Delhi

  • 3rd International Plant Physiology Congress, JNU

  • 3rd International Conference on Integrative Biology, Valencia, Spain

Honors and Awards:

  • AIIMS Excellence in Research Award2021, 2022

Additional Information:

  • Dr. Kundu is a passionate educator and innovator in the application of mathematical and computational models to unravel biological complexity. His work bridges medical biochemistry, theoretical biology, and systems modeling.

Citation Metrics:

  • Total Citations: 133

  • Citations since 2020: 78

  • h-index: 7

  • h-index since 2020: 6

  • i10-index: 5

  • i10-index since 2020: 1

Publication Top Notes:

  • Insights into the molecular mechanism of apoptosis induced by TNF-α in mouse epidermal JB6-derived RT-101 cells
    N. Singh, N. Khanna, H. Sharma, S. Kundu, S. Azmi
    Biochemical and Biophysical Research Communications, 2002

  • Distribution and prediction of catalytic domains in 2-oxoglutarate dependent dioxygenases
    S. Kundu
    BMC Research Notes, 2012

  • Origin, evolution, and divergence of plant class C GH9 endoglucanases
    S. Kundu, R. Sharma
    BMC Evolutionary Biology, 2018

  • In silico identification and taxonomic distribution of plant class C GH9 endoglucanases
    S. Kundu, R. Sharma
    Frontiers in Plant Science, 2016

  • Unity in diversity: A systems approach to regulating plant cell physiology by 2-oxoglutarate-dependent dioxygenases
    S. Kundu
    Frontiers in Plant Science, 2015

  • Co-operative intermolecular kinetics of 2-oxoglutarate dependent dioxygenases may be essential for system-level regulation of plant cell physiology
    S. Kundu
    Frontiers in Plant Science, 2015

  • Insights into the mechanism(s) of digestion of crystalline cellulose by plant class C GH9 endoglucanases
    S. Kundu
    Journal of Molecular Modeling, 2019

  • Stochastic modelling suggests that an elevated superoxide anion-hydrogen peroxide ratio can drive extravascular phagocyte transmigration by lamellipodium formation
    S. Kundu
    Journal of Theoretical Biology, 2016

  • Mathematical modeling and stochastic simulations suggest that low-affinity peptides can bisect MHC-I mediated export of high-affinity peptides into “early”- and “late”-phases
    S. Kundu
    Heliyon, 2021

  • Modeling ligand-macromolecular interactions as eigenvalue-based transition-state dissociation constants may offer insights into biochemical function of the resulting complexes
    S. Kundu
    Mathematical Biosciences and Engineering, 2022

  • ReDirection: An R-package to compute the probable dissociation constant for every reaction of a user-defined biochemical network
    S. Kundu
    Frontiers in Molecular Biosciences, 2023

  • Fe(II)OG: An integrated HMM profile-based web server to predict and analyze putative non-haem iron (II)- and 2-oxoglutarate-dependent dioxygenase function in protein sequences
    S. Kundu
    BMC Research Notes, 2021

  • Mathematical basis of improved protein subfamily classification by a HMM-based sequence filter
    S. Kundu
    Mathematical Biosciences, 2017

  • A mathematically rigorous algorithm to define, compute and assess relevance of the probable dissociation constants in characterizing a biochemical network
    S. Kundu
    Scientific Reports, 2024

  • TemporalGSSA: A numerically robust R-wrapper to facilitate computation of a metabolite-specific and simulation time-dependent trajectory from stochastic simulation algorithm output
    S. Kundu
    Journal of Bioinformatics and Computational Biology, 2022

 

Mohamed Othman | Mathematics | Best Researcher Award

Prof. Dr. Mohamed Othman | Mathematics | Best Researcher Award

Professor Zagazig University Faculty of Science Egypt

Prof. Mohamed I. A. Othman is a renowned mathematician celebrated for his groundbreaking contributions in thermoelasticity, thermoelastic diffusion, and mathematical modeling. With a remarkable career highlighted by over 370 publications, he stands among the top 2% of scientists worldwide (Stanford University, 2020–2024). His influence extends through research, mentorship, editorial service, and active engagement in esteemed scientific societies.

Profile

Google Scholar

🎓 Education

Prof. Othman has a strong academic foundation in mathematics and applied sciences, leading to his extensive work in complex mathematical theories and applications. Though specific degrees and institutions are not listed, his academic qualifications have enabled him to supervise 30+ postgraduate theses, reflecting deep-rooted expertise in both education and research development.

💼 Experience

Throughout his academic journey, Prof. Othman has mentored M.Sc. and Ph.D. candidates, held positions on editorial boards of prestigious journals, and acted as a reviewer for over 120 international publications. His leadership roles underscore his commitment to scholarly excellence and nurturing the next generation of mathematicians.

🔬 Research Interests

Prof. Othman’s research is focused on advanced mathematical areas such as thermoelasticity, thermoelastic diffusion, generalized thermoelastic theories, and wave propagation in elastic media. His work bridges theoretical foundations with practical applications, providing critical insights into materials science, geophysics, and mechanical systems.

🏆 Awards & Recognition

Prof. Othman has received global recognition for his scholarly impact. He has been consistently ranked among the world’s top 2% scientists from 2020 to 2024 by Stanford University. In addition to high citation metrics, he is a member of the American Mathematical Society and Egyptian Mathematical Society, which signifies his esteemed status in the academic world.

📚 Publications Top Notes: 

Prof. Othman has published over 370 research articles in international journals, earning 8,707 citations, with an h-index of 53 and an i10-index of 210. His work has been cited across disciplines, demonstrating broad academic influence.

🔗 Browse all publications here: Google Scholar – Mohamed I. A. Othman

Example Publication (Single Line Format):

“Effect of rotation on generalized thermoelasticity with two relaxation times in a perfectly conducting medium” (2011), Applied Mathematical Modelling, Cited by 150, explores rotational effects in thermoelastic media.

Reflection of plane waves from an elastic solid half-space under hydrostatic initial stress without energy dissipation

Effect of Thermal Loading due to Laser Pulse on Thermoelastic Porous Media under G-N Theory

Effect of rotation on plane waves in generalized thermo-elasticity with two relaxation times

The effect of rotation on generalized micropolar thermoelasticity for a half-space under five theories

A Novel Model of Plane Waves of Two-temperature Fiber-reinforced Thermoelastic Medium under the Effect of Gravity with Three-phase-lag Model

On the Effect of Thomson and Initial Stress in a Thermo-Porous Elastic Solid under GN Electromagnetic Theory

Plane Waves in Generalized Magneto-thermo-viscoelastic Medium with Voids under the Effect of Initial Stress and Laser Pulse Heating

Lord-Shulman theory under the dependence of the modulus of elasticity on the reference temperature in two-dimensional generalized thermoelasticity

A domain of influence in the Moore-Gibson-Thompson theory of Dipolar Bodies

 

Guangwu Wang | Mathematics | Best Researcher Award

Assoc. Prof. Dr. Guangwu Wang | Mathematics | Best Researcher Award

Teacher Guangzhou University China

Dr. Wang Guangwu is a passionate mathematician and researcher at the School of Mathematics and Information Science, Guangzhou University, where he has served since 2017. With a strong foundation in mathematical physics, Dr. Wang’s work revolves around partial differential equations, particularly those arising in quantum and magnetic fluid mechanics. He is recognized for his theoretical depth and problem-solving abilities, demonstrated through multiple peer-reviewed publications and successful national research projects. His dedication to advancing mathematical understanding makes him a standout nominee for academic recognition.

Profile

Research Gate

Scopus

🎓 Education

Dr. Wang Guangwu earned his Ph.D. in Basic Mathematics from the China Academy of Engineering Physics in July 2017. His doctoral research laid a solid groundwork in analytical methods for complex differential systems, particularly in the realm of mathematical physics. This rigorous training equipped him with the tools to address advanced equations in quantum and fluid dynamics, shaping his future academic path.

👨‍💼 Experience

Since completing his doctoral studies in 2017, Dr. Wang has been a valued faculty member at Guangzhou University, contributing to both teaching and research within the School of Mathematics and Information Science. He has taken a leading role in research projects, collaborated with national scholars, and mentored students in advanced mathematical theory and applications. His independent and team-based contributions underscore his versatility and commitment to mathematical sciences.

🔬 Research Interests

Dr. Wang’s research is deeply rooted in the theory and applications of partial differential equations (PDEs). His primary interests include:

  • 🌀 Quantum Fluid Mechanics Equations
  • 🧲 Magnetic Fluid Equations
  • 🧠 Landau-Lifshitz Equations
  • 🔢 Other PDEs in mathematical physics

His work targets complex dynamic systems and mathematical modeling, contributing to a better theoretical understanding of physical phenomena in fluids and magnetism.

🏆 Awards & Grants

Dr. Wang Guangwu was the Principal Investigator of a National Natural Science Foundation Youth Project, which he successfully led to completion. This competitive national-level grant is a testament to his research capabilities and innovation in mathematical physics. His continued efforts in mathematical modeling and differential systems make him a strong candidate for academic honors and awards.

📚 Publications Top Notes: 

Dr. Wang has authored over ten peer-reviewed articles in internationally recognized journals. His works focus on complex dynamics in PDEs, often cited for their originality and analytical depth. Some notable publications include:

“Global well-posedness of solutions to the 2D compressible quantum Navier–Stokes equations with damping”, Journal of Differential Equations, 2022. 🔗Link – Cited by 12 articles.

“Global existence and convergence of solutions to the quantum Navier–Stokes–Poisson equations”, Discrete and Continuous Dynamical Systems – Series B, 2021. 🔗Link – Cited by 8 articles.

“On the Cauchy problem for a compressible quantum magnetohydrodynamic model with damping”, Mathematical Methods in the Applied Sciences, 2020. 🔗Link – Cited by 6 articles.

“Global weak solutions to the quantum MHD equations with large initial data”, Science China Mathematics, 2019. 🔗Link – Cited by 10 articles.

Global weak solution to the degenerate quantum Navier‐Stokes‐Maxwell equations with damping term

A blowup criterion to the strong solution to the multi-dimensional Landau-Lifshitz-Gilbert equation

Global existence of smooth solutions for the incompressible Landau–Lifshitz–Gilbert flow with Dzyaloshinskii–Moriya interaction in two‐dimensional torus and ℝ

existence and blow-up of the solutions to the viscous quantum magnetohydrodynamic nematic liquid crystal model

Existence and uniqueness of the weak solution to the incompressible Navier-Stokes-Landau-Lifshitz model in 2-dimension

Seema SEEMA | Mathematics | Best Researcher Award

Mrs. Seema SEEMA | Mathematics | Best Researcher Award

Research Scholar Christ University, Bengaluru, India, 560029. India

Ms. Seema is a dedicated researcher in the field of mathematics and computational seismology, currently working as a Senior Research Scholar in the Department of Science (Mathematics) at CHRIST (Deemed to be University), Delhi-NCR Campus, Ghaziabad. With a strong foundation in applied mathematics, she is driven by a passion to explore seismic wave propagation in smart and advanced materials such as piezomagnetic and piezoelectric structures. Her scholarly contributions focus on theoretical and computational analysis of wave mechanics, aiming to enhance the scientific understanding of the Earth’s physical behavior through mathematical models.

Profile

Scopus

Google Scholar

Orcid

🎓 Education

Ms. Seema is currently pursuing an Executive Post Graduate Program in Data Science & AI at IIT Roorkee, expected to complete by February 2025. She is also completing her Ph.D. in Mathematics and Computing at CHRIST University, where her thesis focuses on Transference Characteristics of Seismic Surface Waves in Piezo-composite Layered Structures with Distinct Interfacial Conditions. She holds an M.Sc. in Mathematics (2014) and a B.Sc. (2012) from Maharishi Dayanand University, Rohtak, and completed her schooling with distinction, securing over 80% in both High School and Intermediate education under HBSE.

🧑‍🏫 Experience

Ms. Seema has experience both in academia and research. From June 2020 to May 2022, she worked as a Guest Faculty at CHRIST University, Delhi-NCR, teaching advanced mathematical subjects including Linear Algebra, Calculus, and Differential Equations with Python integration. Since June 2022, she has been serving as a Senior Research Scholar, contributing to the fields of theoretical and computational seismology. Her technical expertise extends to Python, SQL, LaTeX, Mathematica, and data analysis platforms.

🔬 Research Interests

Ms. Seema’s core research interests lie in Theoretical and Computational Seismology, focusing on wave propagation in smart and functional materials such as piezoelectric, piezomagnetic, and functionally graded piezoelectric materials (FGPM). She is particularly interested in surface and interface effects, rheological models, and flexoelectric coupling in seismic wave studies. Her work combines applied mathematics and physical modeling to analyze complex material interactions under various boundary and interface conditions.

🏆 Awards

Ms. Seema secured an impressive All India Rank 6 in the CSIR-NET examination, a prestigious national-level qualification for research and lectureship in India. Her doctoral thesis and multiple publications in SCI-indexed Q1 and Q2 journals further underscore her scientific merit and recognition in the research community.

📚 Publications Top Notes:

Ms. Seema has published extensively in peer-reviewed international journals. Below is a list of her notable SCI publications along with hyperlinks, journal name, year, and citation info (if available):

Seema & A. Singhal (2024). Theoretical investigation of SH wave transmission in magneto‐electro‐elastic structure having imperfect interface, Applied Physics A (Springer), Q2, IF: 2.5.

Seema & A. Singhal (2024). Nonlinear Surface Effects Study… in Orthotropic Piezoelectric Materials, Journal of Applied Mechanics (ASME), Q1, IF: 2.6.

Seema & A. Singhal (2024). Flexoelectric effect in Love-type waves for piezo-structure, ZAMM, Q2, IF: 2.3.

Seema & A. Singhal (2024). SH and Anti-plane SH waves in Piezoelectric Quasicrystal, Acta Mechanica (Springer), Q2, IF: 2.3.

Seema et al. (2024). Surface wave in flexoelectric plate with viscoelastic coating, Physica Scripta (IOP), Q2, IF: 2.6.

Seema & A. Singhal (2024). Interface Effects in Piezoelectric Quasicrystals, Acta Mechanica Sinica, Q1, IF: 3.8.

Seema & A. Singhal (2025). Wave velocity in flexoelectric piezoelectric AlN, J Braz. Soc. Mech. Sci. Eng., Q2, IF: 1.8.

Seema & A. Singhal (2024). Imperfect interfaces in cobalt ferrite plates, Discover Materials, Q2.

Seema et al. (2025). SH wave signals for nanosensor applications in PZT-2 and PZT-5H, Acta Mechanica, Q2, IF: 2.3.

Seema & A. Singhal (2025). Energy transmission in piezomagnetic tetrahedral laminate, Applied Physics A, Q2, IF: 2.5.

Vinita Dwivedi | Mathematics | Young Scientist Award

Ms. Vinita Dwivedi | Mathematics | Young Scientist Award

Research Scholar Dr harisingh gour vishwavidhalaya India

Vinita Dwivedi is a passionate research scholar specializing in inventory models, supply chain management, and mathematical epidemic modeling. Currently pursuing her Ph.D. at Dr. Harisingh Gour Central University, Sagar, M.P., she has made notable contributions in applied mathematics through her research on pharmaceutical inventory and disease control strategies.

Profile

Google Scholar

🎓 Education

  • Ph.D. (Pursuing): Strategic Decision-Makings in Healthcare: A Mathematical Framework for Pharmaceutical Inventory and Diseases Control, Dr. Harisingh Gour Central University, Sagar.
  • M.Sc. in Mathematics (94.8%): Indira Gandhi National Tribal University, Amarkantak, M.P., 2019 (Gold Medalist).
  • B.Sc. in Mathematics, Physics, Chemistry (64.3%): APS University, Rewa, 2017.
  • 12th Grade (70%): G.S.C.S., Shahdol, 2014.
  • 10th Grade (68%): G.S.C.S., Shahdol, 2012.

💼 Experience

  • Assistant Professor: Department of Engineering Mathematics, Laxmi Narain College of Technology, Bhopal (August 2019–December 2021), with over 2 years and 5 months of teaching experience.

🔬 Research Interests

  • Inventory Models 📦
  • Supply Chain Management 🚛
  • Mathematical Epidemic Models 🧬

🏆 Awards

  1. Young Scientist Award (2024): Vigyan Parishad of India for Applied Mathematics.
  2. Gold Medal (2019): M.Sc. topper, IGNTU, Amarkantak.
  3. Third Position (2024): Best Paper Presentation in an interdisciplinary conference at Swami Vivekanand University, Sagar.
  4. First Position (2023): Best Paper Presentation on SIQRS model, Dr. Harisingh Gour University, Sagar.
  5. Organizer Recognition (2024): National Mathematics Day Celebration and Vedic Mathematics Celebration.

📚 Publications Top Notes: 

An Optimal Sustainable Production Policy for Imperfect Production System with Stochastic Demand, Price, and Machine Failure with FRW Policy Under Carbon Emission

Optimal control of rotavirus infection in breastfed and non-breastfed children

Efficiency of managing a stochastic inventory system in a declining market for non-instantaneous deteriorating items under partial backlogs

Optimizing healthcare supply chains strategically: analyzing the impact of COVID-19 on pharmaceutical inventory costs through the integration of evidence theory and hybrid …

Interval-valued optimal control strategies for vaccine distribution and infection awareness investment in preservation technology

Analyzing the impact of sustainability on EPQ model: Investigating price and sustainability level dependent demand using center-radius optimization techniques with …

Enhancing pharmaceutical supply Chains in health crises: Integrating fuzzy logic and particle swarm optimization