Fan Yang | Computational Mathematics | Best Researcher Award

Posted on 13/05/202513/05/2025 by Math Scientist

Prof. Fan Yang | Computational Mathematics | Best Researcher Award

Professor at Lanzhou University of Technology, China

Professor Fan Yang 🎓, born in April 1976, is a distinguished mathematician at the School of Science, Lanzhou University of Technology, China. With a solid academic foundation—earning his B.Sc., M.Sc., and Ph.D. from Lanzhou University—he has emerged as a notable expert in inverse problems 🔍 and fractional diffusion equations 🌐. His research contributions span over 14 impactful publications in internationally recognized journals, showcasing innovative regularization techniques like Tikhonov, mollification, and quasi-boundary methods 🧮. His work significantly enhances computational stability in solving complex physical models, particularly heat and Poisson equations 🔥➕. Professor Yang collaborates closely with scholars like Chu-Li Fu and Xiao-Xiao Li, reflecting his team-driven approach and scientific synergy 🤝. While his global visibility could be further amplified, his technical depth, precision, and dedication place him among the front-runners in applied mathematics. A trailblazer in mathematical physics, Prof. Yang continues to illuminate intricate problems with clarity and rigor ✨.

Professional Profile

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📘 Education

Professor Fan Yang 🎓 embarked on his academic path at Lanzhou University, a premier institution in China 🇨🇳. He obtained his Bachelor’s degree in Mathematics in 2000, deepening his analytical foundations. Committed to advancing knowledge, he earned his Master’s degree in 2007 and later achieved his Doctoral degree in 2014, specializing in mathematical physics equations. This progressive academic journey illustrates a firm dedication to mathematical excellence 📐. His scholarly roots at Lanzhou University equipped him with the skills to explore abstract theories and practical modeling 🧠. The consistent pursuit of higher education across nearly 15 years showcases his unwavering commitment to mastering complexity and innovation. His academic development has been vital in shaping him into a respected voice within the mathematical research community 🔍.

💼 Professional Experience

Professor Fan Yang currently holds a prestigious role at the School of Science, Lanzhou University of Technology 🏫, where he serves as a full professor. With a career rooted in academia, he has accumulated decades of teaching, mentorship, and research leadership 📊. Over the years, he has played a central role in guiding both undergraduate and postgraduate students, helping nurture the next generation of mathematical minds 👨‍🏫. His collaborative efforts with other scholars and his role in departmental research initiatives reflect his deep integration into academic life 🧩. Prof. Yang’s dedication to fostering scientific thought and problem-solving capacity makes him a pillar of his department. His evolving role from student to faculty leader exemplifies his rise through perseverance, expertise, and scholarly drive 🚀.

🔬 Research Interest

Prof. Fan Yang’s research orbits around inverse problems and fractional diffusion equations, niche yet powerful areas within applied mathematics 🧠. His work primarily addresses ill-posed problems in mathematical physics, especially those modeling heat and source detection phenomena 🔥🧊. His innovative application of regularization techniques—such as Tikhonov, truncation, and mollification—enhances stability and solution accuracy in computational models. He focuses on determining unknown parameters from partial data, contributing solutions to real-world problems in geophysics, medical imaging, and thermal analysis 🌍💡. This niche research supports the broader scientific community in understanding and interpreting complex systems. With publications in high-impact journals and a track record of meaningful inquiry, Prof. Yang continues to redefine mathematical boundaries, blending theory and application in impactful, forward-thinking ways 📈🔎.

🏅 Awards and Honors

Though specific awards and honors are not listed in detail, Professor Fan Yang’s academic recognition is evident through consistent publications in reputable international journals 📰. Journals such as Applied Mathematical Modelling, Journal of Inverse and Ill-Posed Problems, and Computational and Applied Mathematics have showcased his findings, underscoring the scholarly value of his work 🏆. His research has earned collaboration with distinguished mathematicians, a subtle indicator of peer recognition and respect 🤝. Serving as a professor at a top Chinese university further indicates institutional acknowledgment of his contributions 🎖️. While formal accolades may not be detailed here, Prof. Yang’s enduring presence in high-level research forums and his intellectual influence make him a quiet achiever whose work speaks volumes through citations and scholarly impact 🌟.

📌 Conclusion

Professor Fan Yang is a dedicated scholar whose academic path, professional evolution, and focused research agenda reflect a life devoted to scientific advancement 🔭. From tackling complex inverse problems to refining numerical solutions for fractional equations, his work resonates across mathematical physics and engineering realms 🌐. With a foundation built at Lanzhou University and a professorship at Lanzhou University of Technology, his influence continues to grow 📘💡. While he may remain understated in accolades, his scholarly contributions are undeniable—spanning critical journals and collaborative research 🧩. Prof. Yang exemplifies how dedication, precision, and thoughtful inquiry can shape the modern mathematical landscape. As a thinker, mentor, and innovator, he is undoubtedly a valuable figure in advancing computational mathematics and applied sciences 💫🧮.

Publications Top Notes

🔹 Title: Simultaneous Inversion of the Source Term and Initial Value of the Multi-Term Time Fractional Slow Diffusion Equation
Authors: L. Qiao, R. Li, Fan Yang, X. Li
Year: 2025 🗓️
Journal: Journal of Applied Analysis and Computation 🏫📚

🔹 Title: Fractional Landweber Regularization Method for Identifying the Source Term of the Time Fractional Diffusion-Wave Equation
Authors: Z. Liang, Q. Jiang, Q. Liu, L. Xu, Fan Yang
Year: 2025 🗓️
Journal: Symmetry 📐📚

🔹 Title: PINN Neural Network Method for Solving the Forward and Inverse Problem of Time-Fractional Telegraph Equation
Authors: Fan Yang, H. Liu, X. Li, J. Cao
Year: 2025 🗓️
Citations: 2 📚
Journal: Results in Engineering ⚙️

🔹 Title: Two Regularization Methods for Identifying the Initial Value of Time-Fractional Telegraph Equation
Authors: Y. Liang, Fan Yang, X. Li
Year: 2025 🗓️
Citations: 2 📚
Journal: Computational Methods in Applied Mathematics 📊

🔹 Title: Two Regularization Methods for Identifying the Unknown Source of Sobolev Equation with Fractional Laplacian
Authors: Fan Yang, L.L. Yan, H. Liu, X. Li
Year: 2025 🗓️
Citations: 4 📚
Journal: Journal of Applied Analysis and Computation 🏫

🔹 Title: Two Regularization Methods for Identifying the Source Term of Caputo-Hadamard Type Time Fractional Diffusion-Wave Equation
Authors: Fan Yang, R. Li, Y. Gao, X. Li
Year: 2025 🗓️
Journal: Journal of Inverse and Ill-Posed Problems 🔄📚

🔹 Title: Effect of Surface Effect on Linear Bending Behavior of Nano-Switch Structure
Authors: Fan Yang, X. Wang, C. Li
Year: 2024 🗓️
Journal: Yingyong Lixue Xuebao (Chinese Journal of Applied Mechanics) 🔧📚

🔹 Title: Simultaneous Identification of the Unknown Source Term and Initial Value for the Time Fractional Diffusion Equation with Local and Nonlocal Operators
Authors: L. Qiao, Fan Yang, X. Li
Year: 2024 🗓️
Citations: 3 📚
Journal: Chaos, Solitons and Fractals 🌀

🔹 Title: Analysis of Nonlinear Bending Behavior of Nano-Switches Considering Surface Effects
Authors: Fan Yang, X. Wang, X. Song, W. Yang
Year: 2024 🗓️
Journal: Discover Nano 🔬📚

Sayed Saber | Computational Mathematics | Best Researcher Award

Posted on 07/05/202507/05/2025 by Math Scientist

Prof. Sayed Saber | Computational Mathematics | Best Researcher Award

Professor at Faculty of Science, Al-Baha University, Saudi Arabia.

Prof. Sayed Saber Ali Ahmed is a distinguished mathematician and professor with over 20 years of experience in teaching and research. Specializing in Complex Analysis and Mathematical Modeling, his work bridges several fields including applied mathematics, biomathematics, and medicine. With a Ph.D. from Beni-Suef University, he has contributed to solving pseudoconvex domain problems and developed models for diseases like COVID-19 and glucose-insulin interactions. His research is published in high-impact journals and indexed in Scopus and Web of Science. 🧠📚 Prof. Saber is an invited speaker at international conferences and serves as an editor for multiple journals, further demonstrating his leadership in the academic community. While his work is already highly regarded, expanding his collaborations globally and enhancing the visibility of his research could elevate his impact even further. 🌍✨ His passion for teaching and innovation makes him an exceptional candidate for any academic recognition. 👏🎓

Professional Profile

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Education 🎓

Prof. Sayed Saber Ali Ahmed earned his Ph.D. in Complex Analysis from Beni-Suef University, Egypt, in 2007. His dissertation focused on existence theorems for the 𝜕-equation with estimates on complex manifolds. He also holds an M.Sc. in Complex Analysis from Cairo University (2001) and a B.Sc. in Mathematics from Cairo University (1994), graduating with honors. His solid academic foundation has paved the way for a career marked by deep exploration in mathematical theory and modeling. 📘🔬

Professional Experience 👨‍🏫

Prof. Saber has over 20 years of experience in academia, teaching at institutions like Cairo University, Beni-Suef University, and Al-Baha University. He currently holds the position of Professor at Beni-Suef University, Egypt, and Umm Al-Qura University, Saudi Arabia. He has mentored many undergraduate and graduate students, guiding them in mathematical research, especially in complex analysis and biomathematics. His teaching spans across mathematics, physics, and statistics, making him an educator with diverse expertise. 👩‍🏫📊

Research Interest 🔍

Prof. Saber’s research lies at the intersection of Complex Analysis and Applied Mathematics, with an emphasis on mathematical modeling. His work includes pseudoconvex domains, function theory, and partial differential equations. He’s also made significant contributions to biomathematics, including COVID-19 modeling and glucose-insulin interaction models. Prof. Saber’s studies bridge theoretical mathematics with practical applications in biology, medicine, and economics, providing valuable insights for global health challenges. 🌐💡

Awards and Honors 🏆

Although specific awards are not listed, Prof. Saber’s extensive academic accomplishments and contributions to mathematical theory and applied research reflect his standing as a recognized scholar. His publications in high-impact journals, his invited talks at international conferences, and his active role as an editor for leading journals in mathematics exemplify his scholarly excellence. His work, especially in complex analysis and mathematical modeling, is highly regarded worldwide. 🌟📈

Conclusion 🌟

Prof. Sayed Saber Ali Ahmed is an accomplished scholar whose work blends theory and application to address complex mathematical challenges. His leadership in academia, coupled with his contributions to applied mathematics and biomathematical research, makes him a highly respected figure in his field. With a passion for teaching, mentoring, and international collaboration, Prof. Saber continues to inspire students and peers alike. His broad research interests, solid professional experience, and commitment to academic excellence make him a standout figure in the academic community. 🌍💪

Publications Top Notes

Title: Understanding zoonotic disease spread with a fractional order epidemic model
Authors: M. Althubyani, Mohammed; H.D.S. Adam, Haroun Doud Soliman; A. Alalyani, Ahmad; S. Saber, Sayed
Year: 2025
Source: Scientific Reports
Link: (Open Access)

Title: Analyzing fractional glucose-insulin dynamics using Laplace residual power series methods via the Caputo operator: stability and chaotic behavior
Authors: S. Saber, Sayed; S.M. M Mirgani, Safa M.
Year: 2025
Citations: 1
Source: Beni-Suef University Journal of Basic and Applied Sciences
Link: (Open Access)

Title: Glucose-insulin regulatory system: Chaos control and stability analysis via Atangana–Baleanu fractal-fractional derivatives
Authors: M. Alhazmi, Muflih; S. Saber, Sayed
Year: 2025
Citations: 3
Source: AEJ – Alexandria Engineering Journal
Link: (Open Access)

Title: The Generalized Euler Method for Analyzing Zoonotic Disease Dynamics in Baboon–Human Populations
Authors: S. Saber, Sayed; E.M. Solouma, Emad M.
Year: 2025
Source: Symmetry
Link: (Open Access)

Title: An application of Newton’s interpolation polynomials to the zoonotic disease transmission between humans and baboons system based on a time-fractal fractional derivative with a power-law kernel
Authors: H.D.S. Adam, Haroun Doud Soliman; M. Althubyani, Mohammed; S.M. M Mirgani, Safa M.; S. Saber, Sayed
Year: 2025
Source: AIP Advances
Link: (Open Access)

Title: A Caputo (discretization) fractional-order model of glucose-insulin interaction: numerical solution and comparisons with experimental data
Authors: MH Alshehri, FZ Duraihem, A Alalyani, S Saber
Year: 2021
Citations: 38
Source: Journal of Taibah University for Science
Link: Link

Title: Control of Chaos in the Burke-Shaw system of fractal-fractional order in the sense of Caputo-Fabrizio
Author: S. Saber
Year: 2024
Citations: 33
Source: Journal of Applied Mathematics and Computational Mechanics
Link: Link

Title: Different strategies for diabetes by mathematical modeling: Applications of fractal–fractional derivatives in the sense of Atangana–Baleanu
Authors: KIA Ahmed, HDS Adam, MY Youssif, S. Saber
Year: 2023
Citations: 33
Source: Results in Physics
Link: Link

Title: Application of a time-fractal fractional derivative with a power-law kernel to the Burke-Shaw system based on Newton’s interpolation polynomials
Authors: N. Almutairi, S. Saber
Year: 2024
Citations: 30
Source: MethodsX
Link: Link

Title: On chaos control of nonlinear fractional Newton-Leipnik system via fractional Caputo-Fabrizio derivatives
Authors: N. Almutairi, S. Saber
Year: 2023
Citations: 27
Source: Scientific Reports
Link: Link

Title: Different strategies for diabetes by mathematical modeling: modified minimal model
Authors: KIA Ahmed, HDS Adam, MY Youssif, S. Saber
Year: 2023
Citations: 27
Source: Alexandria Engineering Journal
Link: Link

Title: Dynamical analysis of fractional-order of IVGTT glucose–insulin interaction
Authors: MH Alshehri, S. Saber, FZ Duraihem
Year: 2023
Citations: 27
Source: International Journal of Nonlinear Sciences and Numerical Simulation
Link: Link

Title: The fractal-fractional Atangana-Baleanu operator for pneumonia disease: stability, statistical and numerical analyses
Authors: N. Almutairi, S. Saber, H. Ahmad
Year: 2023
Citations: 27
Source: AIMS Mathematics
Link: Link

Title: Chaos control and numerical solution of time-varying fractional Newton-Leipnik system using fractional Atangana-Baleanu derivatives
Authors: N. Almutairi, S. Saber
Year: 2023
Citations: 26
Source: AIMS Mathematics
Link: Link

Catalina Monica | Theoretical Computer Science | Best Researcher Award

Posted on 29/04/202529/04/2025 by Math Scientist

Dr. Catalina Monica | Theoretical Computer Science | Best Researcher Award

Senior Researcher (Grade I) at FIRA Romanian Academy Iasi Branch, Institute of Computer Science – Romania, Romania

Dr. Fira Catalina Monica 🇷🇴 is a distinguished Romanian scientist and researcher celebrated for her groundbreaking work in chemistry and environmental engineering 🌿⚗️. As a prolific author, she has contributed extensively to the scientific community with high-impact publications, particularly in green chemistry, nanomaterials, and wastewater treatment 🌍📚. Her dynamic research integrates sustainability with innovation, aiming to resolve pressing global challenges through eco-conscious solutions 🌱🔬. Dr. Monica has also served as an editorial board member and reviewer for numerous prestigious journals, showcasing her dedication to academic excellence 🏅🖋️. With numerous accolades and international collaborations to her name, she is an influential figure mentoring the next generation of researchers 🧠👩‍🏫. Her passion for science is matched by her commitment to advancing sustainable technologies and fostering knowledge exchange across borders 🌐💡. Truly, Dr. Fira Catalina Monica embodies the spirit of modern science — visionary, impactful, and globally engaged 🚀✨.

Professional Profile

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Education 🎓📘

Dr. Fira Catalina Monica’s academic journey is steeped in scholarly rigor and intellectual distinction. She earned her Ph.D. in Chemistry from a leading Romanian institution, where she honed her expertise in environmental science and chemical engineering 🔬🇷🇴. With a master’s degree in advanced materials and a bachelor’s in industrial chemistry, her educational foundation bridges theoretical knowledge with applied science 📖⚛️. Throughout her studies, she exhibited a relentless passion for sustainability, laying the groundwork for her future research. Her academic path was enriched by participation in interdisciplinary workshops, international fellowships, and specialized certifications that expanded her global outlook 🌍📜. Dr. Monica’s commitment to lifelong learning is evident in her active involvement in scientific courses and conferences that enhance her pedagogical and research acumen 🎤📚. Her education serves as the cornerstone of a vibrant career dedicated to solving real-world environmental issues through chemistry and innovation 🧪🌱.

Professional Experience 💼🔬

Dr. Fira Catalina Monica brings a wealth of professional experience from academia, research, and scientific consultancy. Currently serving as a senior researcher at a prominent Romanian research institute, she has led and collaborated on numerous national and EU-funded projects addressing environmental remediation, nanomaterials, and green synthesis 🌿🧫. Her career includes tenures in multidisciplinary labs where she supervised postgraduates, authored pioneering publications, and contributed to the development of eco-smart technologies 🌐📝. She is also actively involved in mentoring young scientists and organizing international conferences that foster scientific exchange and collaboration 🤝📣. Beyond research, Dr. Monica has served as a peer reviewer and editorial board member for several reputed journals, reflecting her leadership and integrity in the academic community 🧠🖋️. Her professional engagements extend to industrial partnerships, bridging academia with market-driven solutions. With over a decade of scientific service, she is a vital contributor to innovation and environmental stewardship 🌏⚙️.

Research Interest 🔍🌿

Dr. Fira Catalina Monica’s research passions are deeply rooted in green chemistry, nanotechnology, and environmental protection. She explores sustainable methodologies for water purification, waste valorization, and eco-friendly material design 💧♻️. Her cutting-edge work on metal-organic frameworks (MOFs), advanced oxidation processes, and bio-inspired nanomaterials addresses urgent global issues such as pollution, climate resilience, and renewable resources 🔬🌎. She is especially intrigued by the catalytic behavior of nanostructures in environmental detoxification and energy applications, aiming to develop cleaner, safer alternatives to traditional chemical processes ⚡🧪. Interdisciplinary in nature, her research connects chemistry with engineering, ecology, and public health — underscoring her holistic approach to problem-solving 🧠🌱. Dr. Monica’s innovative mindset fuels her pursuit of high-impact discoveries that can be scaled for industrial and municipal solutions. Her work not only contributes to scientific literature but also empowers real-world change, making her a transformative figure in sustainable science 🔭💡.

Awards and Honors 🏆🎖️

Dr. Fira Catalina Monica has received a remarkable array of accolades that recognize her academic excellence, scientific ingenuity, and environmental leadership 🌟🌿. She has been honored with prestigious national and international research grants, best paper awards, and outstanding contribution recognitions from esteemed scientific societies 🧾🥇. Her work has garnered attention at global symposiums where she was invited as a keynote speaker and panel expert, testifying to her influence in the chemistry and sustainability domains 🌐🎤. Dr. Monica’s publication impact is reflected through citations and journal highlights, affirming her authority in green technologies and nanomaterials 📊📚. Additionally, she has earned certifications of distinction in research ethics, project leadership, and science communication — all of which enhance her multifaceted scientific persona 🧑‍🔬🛡️. These honors serve not only as personal milestones but also as markers of her enduring commitment to improving environmental health and fostering innovative scientific practices 🌍🔧.

Conclusion 🌟🧬

Dr. Fira Catalina Monica stands as a beacon of innovation, sustainability, and academic integrity in the modern scientific landscape 🔬🌱. Her unwavering dedication to environmentally conscious research, paired with her collaborative spirit and mentoring legacy, positions her as a transformative leader in chemistry and environmental sciences 🧠🤝. From her formative education to her globally relevant research and distinguished accolades, Dr. Monica continues to push the boundaries of green innovation with purpose and passion 🌏💡. She exemplifies the harmony between scientific rigor and societal impact — using chemistry as a tool for global betterment. Her journey is not only inspiring but also a call to action for a cleaner, smarter future led by science and compassion 🚀📘. As she continues to inspire future researchers and contribute to sustainable solutions, Dr. Monica remains a vital force in shaping a resilient and environmentally just world 🌍✨.

Publications Top Notes

Title: Prediction and Detection of Ventricular Fibrillation Using Complex Features and AI-Based Classification 🧠
Authors: M. Fira, H.N. Costin, L. Goras
Year: 2024
Citations: 3
Source: Applied Sciences, 14(7), 3050
📈

Title: On Pattern Formation in a Class of Graph Neural Networks 🔗
Authors: L. Goraș, P. Ungureanu, M. Fira
Year: 2021
Citations: 3
Source: ISSCS 2021
🧩

Title: Dimensionality Reduction for ECG Signals; Laplacian Eigenmaps and Locality Preserving Projections 📉
Authors: M. Fira, L. Goraș
Year: 2019
Citations: 3
Source: ISSCS 2019
💾

Title: The EEG Signal Classification in Compressed Sensing Space 🧠
Authors: M. Fira
Year: 2017
Citations: 3
Source: Computing in the Global Information Technology
📊

Title: Compressed Sensing of Multi-Channel EEG Signals: Quantitative and Qualitative Evaluation with Speller Paradigm 💡
Authors: M. Fira
Year: 2016
Citations: 3
Source: IJACSA, 7(6)
🧠

Title: Artificial Intelligence in Ophthalmology: Advantages and Limits 👁️
Authors: H.N. Costin, M. Fira, L. Goraș
Year: 2025
Citations: 2
Source: Applied Sciences, 15(4), 1913
🤖

Title: Analysis of the Detection of Ventricular Fibrillation in its First 3 Seconds Using Different Features and Classifiers ⏱️
Authors: M. Fira, H.N. Costin, L. Goras
Year: 2022
Citations: 2
Source: EHB 2022
🫀

Title: On Some Methods for Dimensionality Reduction of ECG Signals ➖
Authors: M. Fira, L. Goras
Year: 2019
Citations: 2
Source: IJACSA, 10(9)
📉

Title: On P300 Detection Using Scalar Products 🎯
Authors: M. Fira, L. Goras, A. Lazar
Year: 2018
Citations: 2
Source: IJACSA, 9(1)
🧠

Title: Electrocardiographic Signal Processing Applications in Telemedicine 📲
Authors: A. Brezulianu, I. Ciocoiu, M. Fira
Year: 2010
Citations: 2
Source: Handbook on E-Health and Telemedicine
❤️

Title: Interfaţa Creier-Calculator: Implementarea Paradigmelor 🖥️
Authors: A.M. Lazăr, L. Davlea, M. Fira
Year: 2009
Citations: 2
Source: Cermi
🧠

Title: Ventricular Fibrillation Prediction and Detection: A Comprehensive Review of Modern Techniques 📘
Authors: M. Fira, H.N. Costin, L. Goraș
Year: 2024
Citations: 1
Source: Applied Sciences, 14(23)
📊

Title: Normalized Itakura Distance Based Discrimination Used in a Motor Imagery Brain-Computer Interface Paradigm 🧲
Authors: O.D. Eva, A.M. Lazar, M. Fira
Year: 2024
Citations: 1
Source: Journal Article
🧠

Title: On Database, Segmentation and Classifier Influence in Ventricular Fibrillation Detection 🗂️
Authors: M. Fira, L. Goras
Year: 2023
Citations: 1
Source: ISSCS 2023
🫁

Title: On the KNN Classifier, the Type of Distance Used and the Weighting of the Votes 📐
Authors: M. Fira, L. Goras
Year: 2022
Citations: 1
Source: EHB 2022
📊

Title: On the Influence of Feature Selection with Laplacian Score in ECG Signals Classification 📌
Authors: M. Fira, L. Goras
Year: 2021
Citations: 1
Source: ISSCS 2021
📈

Title: On the Size of the Universal Dictionaries Used in EEG P300 Spelling Paradigm Based on Compressed Sensing 📚
Authors: M. Fira, L. Goras
Year: 2017
Citations: 1
Source: ICBBT 2017
🔠

Title: Classifications of Motor Imagery Tasks in Brain-Computer Interface Using Euclidean Distance 🎮
Authors: M. Fira, R. Aldea, A. Lazar, L. Goras
Year: 2014
Citations: 1
Source: Neural Network Applications Symposium
🧠

Title: A New Compression Algorithm for ECG Signals 💽
Authors: M. Fira, L. Goras
Year: 2005
Citations: 1
Source: EUROCON 2005
❤️

Title: Evaluating Sparse Feature Selection Methods: A Theoretical and Empirical Perspective 🧪
Authors: M. Fira, L. Goras, H.N. Costin
Year: 2025
Citations: New
Source: Applied Sciences, 15(7), 3752
🧠

Mansi Palav | Numerical Analysis | Best Researcher Award

Posted on 24/04/202524/04/2025 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

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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