Mansi Palav | Numerical Analysis | Best Researcher Award

Posted on by Math Scientist

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

Google Scholar
Scopus Profile
ORCID Profile

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

 

Vesna Knights | Applied Mathematics | Women Researcher Award

Posted on by Math Scientist

Prof. Vesna Knights | Applied Mathematics | Women Researcher Award

North Macedonia at Faculty of Technology and Technical Science, University “St. Kliment Ohridski”—Bitola, 7000 Bitola, North Macedonia, Macedonia

Professor Vesna (Antoska) Knights, Dr.Sc., is a distinguished academic and researcher with extensive experience in mathematical statistics, applied mathematics, and mathematical modelling. Serving as a Full Professor at the Faculty of Technology and Technical Sciences in Veles, University “St. Kliment Ohridski” – Bitola, she has held pivotal roles including Head of the Doctoral Studies Council and Vice Dean. Her scholarly contributions span biostatistics, optimization, automation, and data analysis, with active involvement in international collaborations such as the COST Action DE-PASS and ERASMUS+ teaching exchanges. With a career rooted in both academia and government statistical services, Professor Knights brings a multidisciplinary perspective to her work. Her research has been recognized through numerous publications indexed in Scopus and Web of Science. Dedicated to mentoring and policy-relevant research, she exemplifies leadership in science and education. Her broad expertise and impact make her a strong candidate for the Women Researcher Award.

Professional Profile 

Google Scholar
Scopus Profile
ORCID Profile

Education

Professor Vesna (Antoska) Knights holds a Doctor of Science (Dr.Sc.) degree in Technical Sciences, with a specialization in Applied Mathematics and Statistical Modelling. Her academic journey began with a degree in Mathematics, followed by postgraduate studies in Statistical Analysis and Mathematical Modelling, which laid a strong foundation for her interdisciplinary research career. Her doctoral work focused on applying mathematical frameworks to real-world industrial and biological systems, earning her recognition for integrating theoretical insight with practical application. Throughout her academic progression, she pursued international research exchanges and advanced trainings, including ERASMUS+ programs, which enriched her educational profile with global perspectives. Her commitment to continuous learning and academic excellence is evident in her participation in workshops, seminars, and specialized courses across Europe. Professor Knights’s education reflects a deep-rooted dedication to expanding knowledge and applying it to complex scientific, technological, and societal challenges.

Professional Experience

Professor Knights has a distinguished career spanning academia, public service, and international collaboration. Currently a Full Professor at the Faculty of Technology and Technical Sciences in Veles, University “St. Kliment Ohridski” – Bitola, she has held several leadership roles including Vice Dean and Head of the Doctoral Studies Council. She has extensive experience teaching undergraduate, graduate, and doctoral students in mathematics, statistics, data analysis, and optimization. Her early career includes service at the State Statistical Office of North Macedonia, where she contributed to national statistical methodology and data analysis frameworks. She is actively engaged in international mobility programs such as ERASMUS+ and serves as a scientific member in European research networks like the COST Action DE-PASS. With a professional background that bridges academia and applied statistics, Professor Knights has led multiple research projects, supervised doctoral theses, and established herself as a key figure in interdisciplinary academic initiatives throughout Europe.

Research Interest

Professor Knights’s research interests are deeply rooted in applied mathematics, mathematical statistics, and computational modelling. She specializes in biostatistics, systems optimization, industrial mathematics, and the application of statistical models in engineering and health sciences. Her interdisciplinary approach connects statistical theory with practical problems in automation, manufacturing, and biological systems. A significant part of her research has focused on parameter estimation, probabilistic analysis, and developing algorithms for data-driven decision-making in complex systems. She is also involved in health-related modelling within the context of physical activity and well-being, contributing to the European COST Action DE-PASS project. Her scientific output includes numerous publications indexed in Scopus and Web of Science, showcasing her commitment to advancing both theory and application. Professor Knights is particularly enthusiastic about mentoring young researchers and fostering cross-disciplinary collaboration, reflecting her belief in the transformative power of mathematical modelling in solving global challenges.

Award and Honor

Throughout her career, Professor Vesna Knights has received various accolades that reflect her dedication to science, education, and leadership. She has been recognized at institutional and national levels for her outstanding teaching performance and contributions to academic development. Her research excellence has earned her invitations to serve as a reviewer and editorial board member for peer-reviewed international journals. Her participation in the prestigious COST Action DE-PASS highlights her standing in the European research community. Additionally, she has been a keynote speaker and guest lecturer in ERASMUS+ programs and international conferences, where her work has been lauded for its impact and innovation. As a mentor and academic advisor, she has received commendations for guiding doctoral students and young researchers in developing cutting-edge research methodologies. These honors underscore her significant influence across educational, scientific, and professional landscapes, positioning her as a role model and advocate for women in science and mathematics.

Conclusion

Professor Vesna (Antoska) Knights exemplifies academic excellence, interdisciplinary innovation, and leadership in mathematical sciences. Her career bridges theoretical depth with real-world application, impacting fields from biostatistics and industrial optimization to health science and data analytics. As a dedicated educator, she inspires students and researchers alike, fostering a vibrant academic environment that emphasizes rigor, creativity, and societal relevance. Her international collaborations, leadership in doctoral education, and participation in high-impact European research networks underscore her role as a globally engaged scholar. The recognition she has received through awards, research invitations, and institutional honors speaks to her sustained contributions to the scientific community. Professor Knights is not only a distinguished researcher but also a passionate advocate for scientific collaboration, education, and mentorship. Her legacy continues to influence the next generation of scientists, making her a worthy recipient of honors such as the Women Researcher Award, and a beacon of excellence in contemporary mathematical science.

Publications Top Notes

  • Title: Nonlinear Dynamics and Machine Learning for Robotic Control Systems in IoT Applications
    Authors: V. Antoska-Knights, O. Petrovska, J. Gajdoš Kljusurić
    Year: 2024
    Citations: 1
    Source: Future Internet

  • Title: Machine Learning Models and Mathematical Approaches for Predictive IoT Smart Parking
    Authors: V. Knights, O. Petrovska, J. Bunevska-Talevska, M. Prchkovska
    Year: 2025
    Source: Sensors, 25(7), 2065

  • Title: Enhancing Smart Parking Management through Machine Learning and AI Integration in IoT Environments
    Authors: V. Antoska-Knights, O. Petrovska, M. Prchkovska
    Year: 2025
    Citations: 4
    Source: IntechOpen Limited, pp. 25–49

  • Title: Learning and AI Integration in IoT
    Authors: V. Knights, O. Petrovska, M. Prchkovska
    Year: 2025
    Source: Navigating the Internet of Things in the 22nd Century

  • Title: Mathematical Analysis of Statistical Design of Experiment and Machine Learning Methods in Identifying Factors Influencing Obesity
    Authors: V. Knights, T. Blazevska, G. Markovic, J.G. Kljusurić
    Year: 2024
    Source: Medical Research Archives, 12(9)

  • Title: Примена на статистички методи… со потекло oд Македонија, Косово и Албанија
    Authors: B. Durmishi, V. Antoska-Knights
    Year: 2024
    Source: Годишна Конференција на студентите на трет циклус студии

  • Title: Pollution of the Fifth Canal on the Crna River in the Region of Bitola
    Authors: T. Blazhevska, V. Pavlova, V. Knights, N. Gruevska, E. Delinikolova, et al.
    Year: 2024
    Source: IJFTN International Journal of Food Technology and Nutrition, 7(13–14), 138–143

  • Title: The Presence of Escherichia coli and Enterococcus in the Water of the Fifth Canal and Black River near Bitola
    Authors: T. Blazhevska, V. Pavlova, V. Knights, V. Stamatovska, M. Sviderski, et al.
    Year: 2024
    Source: Journal of Agriculture and Plant Sciences, 22(1), 9–13

  • Title: Machine Learning Techniques for Modelling and Predicting the Influence of Kefir in a Low-Protein Diet on Kidney Function
    Authors: V. Knights, E.D. Gavriloska
    Year: 2024
    Source: Medical Research Archives, 12(7)

  • Title: Textural and Sensory Characteristics of Yogurt Manufactured with Liquid Whey and Strawberry Supplementation
    Authors: A. Hyseni, T. Kalevska, D. Nikolovska Nedelkoska, G. Dimitrovska, et al.
    Year: 2024
    Source: Journal of Food Science and Technology (Iran), 21(150), 139–150

  • Title: Integrating Machine Learning and AI into IoT-Enabled Smart Parking
    Authors: V. Knights, O. Petrovska, M. Prchkovska
    Year: 2024
    Source: International Conference on Innovations in Technology, Business and Society

  • Title: From Equations to Predictions: Understanding the Mathematics and Machine Learning of Multiple Linear Regression
    Authors: V. Knights, M. Prchkovska
    Year: 2024
    Citations: 7
    Source: Journal of Mathematical & Computer Applications, 3(2), 1–8

  • Title: Recommendations and Use of Calcium, Vitamin D, and Appropriate Nutrition in Patients with Rheumatoid Diseases
    Authors: D. Zhubi, V. Pavlova, M. Zhubi, A. Tahiri, I. Kovaci, T. Blazhevska, V. Knights, et al.
    Year: 2024
    Citations: 1
    Source: Journal of Hygienic Engineering & Design, 47

  • Title: Modeling and Implementation of Smart Parking System
    Authors: O. Petrovska, V. Knights, A.F. Turkeshi
    Year: 2024
    Source: Book of Abstracts, 12

  • Title: Mineral Composition of Fresh Cow’s Milk and the Importance of Minerals in the Human Diet
    Authors: V. Loshi, I. Nikqi, E. Gajdoš Kljusurić, V. Antoska-Knights
    Year: 2024
    Source: Journal of Hygienic Engineering and Design, 48, 30–34

  • Title: A Survey on the Motivation, Attitudes, and Frequency of Use of Dietary Supplements in Cancer Patients
    Authors: K. Dina, V. Pavlova, A. Tahiri, I. Kovaci, T. Blazhevska, V. Knights, et al.
    Year: 2024
    Source: Journal of Hygienic Engineering and Design

  • Title: Textural and Sensory Properties of Yogurt Obtained by Bioconversion of Milk-Liquid Whey Mixture and Aronia Supplementation
    Authors: A. Hyseni, T. Kalevska, D. Nikolovska-Nedelkoska, G. Dimitrovska, et al.
    Year: 2024
    Source: Poljoprivreda i Sumarstvo, 70(1), 115–126

  • Title: Dynamic Modeling and Simulation of Mobile Robot under Disturbances and Obstacles in an Environment
    Authors: V. Knights, O. Petrovska
    Year: 2024
    Citations: 6
    Source: Journal of Applied Mathematics & Computation, 8, 59–67

  • Title: Mathematical Modelling of Determining the Dynamics of the Nutritional Value Content of Classic Kefir and Three Types of Flavors of Functional Kefir
    Authors: E.D. Gavriloska, T. Kalevska, G. Dimitrovska, J.G. Kljusurić, V.A. Knights
    Year: 2023
    Source: Horizons – International Scientific Journal, 1(1), 116–129