Mansi Palav | Numerical Analysis | Best Researcher Award

Assist. Prof. Dr. Mansi Palav | Numerical Analysis | Best Researcher Award

Assistent Professor at SIES College of Arts, Science and Commerce, India

Dr. Mansi Subhash Palav 🌟 is a passionate researcher in Applied Mathematics, currently pursuing her Ph.D. at SVNIT Surat 🎓 with an exceptional academic record, including a Gold Medal in M.Tech from DIAT Pune 🏅. Her expertise spans numerical analysis, mathematical modeling, and image encryption 🔐, demonstrated through high-impact publications in Q1 and Q2 SCIE journals 📚. A double CSIR-NET qualifier with JRF and SET credentials 🧠, she has also presented at over ten prestigious international conferences 🌍. Her innovative work using B-splines for solving complex equations reflects her dedication to cutting-edge research 🧮. Beyond academia, she’s contributed as a Subject Matter Expert and Visiting Faculty, nurturing mathematical minds with clarity and precision 👩‍🏫. Her achievements are crowned with multiple national awards, reflecting a blend of academic brilliance and research finesse 🏆. Driven by curiosity and innovation, Dr. Palav stands out as a dynamic force in mathematical sciences 💡✨.

Professional Profile

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Education 🎓📘

Dr. Mansi Palav’s academic voyage began with brilliance and determination. She earned her B.Sc. in Mathematics with distinction from Ramniranjan Jhunjhunwala College, Mumbai 🏛️, laying a solid foundation for her mathematical pursuits. Continuing this trajectory, she completed her M.Sc. in Mathematics from K.J. Somaiya College of Science and Commerce, Mumbai University 📈. Driven by a passion for applied mathematics, she pursued her M.Tech in Modeling and Simulation from DIAT Pune, emerging as a Gold Medalist 🥇. Her academic trail then led her to pursue a Ph.D. at SVNIT Surat under the AICTE Doctoral Fellowship 🧑‍🔬, specializing in numerical solutions of differential equations using B-spline functions. Her educational journey is marked not only by stellar grades and prestigious institutions but by a continual quest for deeper understanding and innovation. Each degree earned is a testament to her curiosity, diligence, and drive to make meaningful contributions to mathematics 🧠✨.

Professional Experience 👩‍🏫💼

Dr. Mansi Palav’s professional journey is as vibrant as her academic path. She has served as a Subject Matter Expert in Mathematics at Evelyn Learning Systems, crafting top-tier content tailored for academic clarity 📖. Her passion for teaching also led her to be a Visiting Faculty at K.J. Somaiya College of Science and Commerce, where she inspired undergraduate minds with lucid explanations and real-world mathematical connections 🧮✨. Beyond classrooms, she collaborated on advanced simulation projects during her M.Tech, cultivating skills in modeling complex systems 🛠️. Her involvement in interdisciplinary initiatives has equipped her with a versatile outlook, making her adept at both pure and applied mathematical problems 🔍. Whether mentoring, writing, or researching, she brings enthusiasm and precision to each task. Her experience embodies a balanced blend of technical mastery and people-oriented insight, making her a respected contributor in both academic and educational domains 🌐📚.

Research Interest 🧪📊

A passionate scholar at heart, Dr. Mansi Palav’s research realm revolves around the elegant applications of mathematics in solving real-world puzzles. Her primary focus lies in numerical analysis, specifically using B-spline techniques to solve ordinary and fractional differential equations 🔢. She is deeply intrigued by the potential of mathematical modeling to decode complex natural and engineered systems 🌿⚙️. Additionally, her work extends to cutting-edge areas such as image encryption and scientific computing, marrying abstract theory with practical relevance 🔐💻. Her methodological approach combines analytical precision with computational power, enabling robust simulations and innovative problem-solving strategies. With multiple publications in high-impact Q1 and Q2 SCIE journals, Dr. Palav demonstrates an unwavering commitment to original research 📄💥. She is continually expanding her research horizon by integrating cross-disciplinary elements that enrich the applicability and depth of her mathematical endeavors, making her a rising torchbearer in applied mathematics 🔬📈.

Awards and Honors 🏅🌟

Dr. Mansi Palav’s exceptional accomplishments have been celebrated through numerous accolades and prestigious recognitions. She proudly earned the Gold Medal 🥇 during her M.Tech at DIAT Pune, underscoring her academic excellence. A two-time qualifier of the CSIR-NET exam with Junior Research Fellowship (JRF), she has also cracked the SET exam, further affirming her scholarly caliber 🎖️. Her research prowess has been showcased at over ten reputed international and national conferences 🌍, where she has delivered insightful presentations and received wide acclaim. A recipient of the AICTE Doctoral Fellowship at SVNIT Surat, she has also been recognized by the Indian Mathematical Society and other prominent platforms for her outstanding contributions 🧠🏆. These honors not only validate her expertise but also spotlight her as a promising voice in the mathematical sciences. With each award, she adds a new feather to her cap, fueling her passion for excellence and innovation in mathematics 🌠💡.

Conclusion ✨

Dr. Mansi Palav exemplifies a rare blend of intellectual brilliance, creative thinking, and unyielding perseverance 🚀. Her journey through academia, research, and education paints a picture of a dynamic mathematician committed to pushing the boundaries of knowledge 🧭. With a rich foundation in numerical methods and a keen eye for practical applications, she continues to make waves in mathematical modeling, encryption technologies, and computational simulations 🔄📉. Her accolades and professional experience echo her dedication, while her ability to inspire and lead showcases her role as an emerging thought leader in her field 🌟📢. As she strides forward in her research career, Dr. Palav remains rooted in curiosity and driven by impact, ready to illuminate new paths in applied mathematics and beyond. With each step, she not only elevates her field but also empowers future generations of mathematical minds 💫🎓.

Publications Top Notes

  • Redefined Fourth Order Uniform Hyperbolic Polynomial B-Splines Based Collocation Method for Solving Advection-Diffusion Equation

    ✍️ Authors: M.S. Palav, V.H. Pradhan
    📅 Year: 2025
    📜 Citation: Applied Mathematics and Computation, 484, 128992
    🌐 Source: Applied Mathematics and Computation

  • A Masking-Based Image Encryption Scheme Using Chaotic Map and Elliptic Curve Cryptography

    ✍️ Authors: M. Palav, R.T. Gode, S. Krishna Murthy
    📅 Year: 2021
    📜 Citation: Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy
    🌐 Source: SpringerLink

  • Efficient Numerical Solution of Burgers’ Equation Using Collocation Method Based on Re-Defined Uniform Hyperbolic Polynomial B-Splines

    ✍️ Authors: M. Palav, V. Pradhan
    📅 Year: 2025
    📜 Citation: Journal of Applied Mathematics and Computing, 1-46
    🌐 Source: SpringerLink

  • B-Spline Finite Element Solution of 1D Contaminant Transport Equation Along Unsteady Flow in Saturated Contaminant Free Porous Media with General Boundary Conditions

    ✍️ Authors: M.S. Palav, V.H. Pradhan
    📅 Year: 2024
    📜 Citation: International Journal of Computing Science and Mathematics, 20(4), 353-370
    🌐 Source: Inderscience Publishers

  • Comparison of Numerical Solution of Consolidation Equation in One Dimension by Finite Difference Methods and Finite Element Method with Analytical Solution

    ✍️ Authors: S.L. Gosiya, M.S. Palav, V.H. Pradhan
    📅 Year: 2023
    📜 Citation: Mathematical Modeling, Computational Intelligence Techniques and Renewable Energy
    🌐 Source: SpringerLink

  • An Efficient Image Encryption Scheme Combining Rubik’s Cube Principle with Masking

    ✍️ Authors: M. Palav, R.T. Gode, S.K. Murthy
    📅 Year: 2022
    📜 Citation: Neural Networks, Machine Learning, and Image Processing, 181-198
    🌐 Source: SpringerLink