Tag: MathematicalModeling

🎓 Education

Mr. Shehzad began his academic journey with an M.Sc. in Mathematics from the University of Engineering and Technology (UET) Lahore in 2008. He further specialized by completing an MPhil in Mathematics from the same university in 2013, where he explored advanced inequalities on time scales. Currently, he is a Ph.D. scholar at Jiangsu University in Zhenjiang, China, conducting in-depth research on the dynamic characteristics and stability of nonlinear wave systems, with a strong emphasis on their real-world applications in physics and engineering.

💼 Experience

Mr. Shehzad started his teaching career as a Tutor/Instructor at the Virtual University of Pakistan (2010–2015), where he gained valuable experience in online education. Since 2015, he has been serving as a Lecturer in Mathematics at the University of Agriculture Faisalabad, where he is actively involved in teaching, academic advising, and research supervision. His role reflects a consistent dedication to education, curriculum development, and student mentoring.

🔬 Research Interests

Mr. Shehzad’s primary research interests lie in nonlinear partial differential equations, soliton solutions, and wave propagation phenomena. He applies analytical and numerical methods to study solitons, breathers, kink solutions, and other nonlinear wave structures across physical media, including optical fibers, fluid dynamics, and magnetized plasmas. His interdisciplinary research connects applied mathematics with modern physics and engineering, focusing on real-world relevance and stability analysis.

🏆 Awards

Mr. Shehzad has earned recognition for his consistent academic and research performance. His admission to the Ph.D. program at Jiangsu University with a focus on international collaboration reflects both merit and scholarly promise. Additionally, his involvement in international conferences, book chapters, and advanced mathematical modeling projects adds to his growing list of accomplishments.

📚 Top Noted Publications

Title: Dynamic study of multi-peak solitons and other wave solutions of new coupled KdV and new coupled Zakharov–Kuznetsov systems with their stability
Authors: J. Wang, K. Shehzad, A.R. Seadawy, M. Arshad, F. Asmat
Citations: 111
Index: Journal of Taibah University for Science 17 (1), 2163872
Year of Publication: 2023

Title: Multi peak solitons and breather-type wave solutions of unstable NLSEs with stability and applications in optics
Authors: K. Shehzad, A.R. Seadawy, J. Wang, M. Arshad
Citations: 56
Index: Optical and Quantum Electronics 55 (1), 7
Year of Publication: 2023

Title: Novel computational study on MHD flow of nanofluid with gyrotactic microorganisms due to porous stretching sheet
Authors: M. Jawad, K. Shehzad, R. Safdar
Citations: 37
Index: Punjab University Journal of Mathematics 52 (12)
Year of Publication: 2021

Title: Novel traveling wave solutions and stability analysis of perturbed Kaup-Newell Schrödinger dynamical model and its applications
Authors: X. Qian, D. Lu, M. Arshad, K. Shehzad
Citations: 23
Index: Chinese Physics B 30 (2), 020201
Year of Publication: 2021

Conclusion

In summary, Mr. Khurrem Shehzad is an accomplished and focused researcher whose work significantly contributes to the fields of applied mathematics and nonlinear dynamics. With a solid foundation in mathematics education, a growing body of impactful research, and international academic exposure, he exemplifies the qualities of a forward-thinking scholar. His dedication to both teaching and research makes him a valuable asset to the academic and scientific communities.

Dr Francesco Romor | Numerical analysis | Best Researcher Award |

Published on 18/04/202518/04/2025 by Award and Honors

Dr. Francesco Romor | Numerical analysis | Best Researcher Award

Postdoctoral researcher , at Weierstrass Institute,Germany

Dr. Francesco Romor is a postdoctoral researcher at the Weierstrass Institute for Applied Analysis and Stochastics (WIAS) in Berlin, Germany. He works within the Numerical Mathematics and Scientific Computing research group led by Prof. Volker John. His expertise lies in advanced computational methods, scientific machine learning, and mathematical modeling with applications spanning from fluid dynamics to medical image analysis. Known for combining mathematical rigor with modern machine learning techniques, Dr. Romor is establishing himself as a leading voice in the next generation of scientific computing experts.

profile

Education

Dr. Romor earned his Ph.D. in Mathematical Analysis, Modeling, and Applications from the International School for Advanced Studies (SISSA), Trieste, Italy, in 2023. His doctoral research, supervised by Prof. Gianluigi Rozza, focused on “Nonlinear Parameter Space and Model Order Reductions enhanced by Scientific Machine Learning.” He previously obtained a Master’s degree in Mathematics (2019) and a Bachelor’s degree in Mathematics (2017), both with the highest honors (110/110 cum laude) from the University of Trieste. His academic path reflects a strong and consistent foundation in theoretical and applied mathematics.

Experience

Since November 2023, Dr. Romor has been serving as a postdoctoral researcher at WIAS, where he collaborates closely with experts such as Dr. Alfonso Caiazzo. In 2023, he completed a short research visit to the Massachusetts Institute of Technology (MIT) as part of the MISTI MIT-Italy FVG Project, working with Prof. Youssef Marzouk. His professional engagements reflect a growing international footprint and recognition in high-level research environments.

Research interest

Dr. Romor’s research centers on reduced-order modeling, nonlinear parameter space reduction, scientific machine learning, and high-dimensional numerical simulations. He is particularly interested in hybridizing classical numerical methods with deep learning tools, such as convolutional autoencoders and graph neural networks, to solve complex partial differential equations (PDEs) efficiently. His recent work extends to data assimilation in biomedical applications, including modeling aortic coarctation using shape registration and neural networks. These innovations push the boundary of how science and AI can co-evolve for real-world problem-solving.

Awards

While specific awards are not listed, Dr. Romor’s profile includes significant professional recognitions. These include being selected for a prestigious research visit to MIT and multiple invitations to speak at international conferences such as ECCOMAS, SIAM CSE, and AICOMAS. Such invitations are indicators of esteem within the scientific community and recognition of his impactful contributions.

Publications

1. Friedrichs’ systems discretized with the DGM: domain decomposable model order reduction and Graph Neural Networks approximating vanishing viscosity solutions
Authors: Francesco Romor, Davide Torlo, Gianluigi Rozza
Journal: Journal of Computational Physics
Article ID: 113915
Year: 2025

2. Explicable hyper-reduced order models on nonlinearly approximated solution manifolds of compressible and incompressible Navier-Stokes equations
Authors: Francesco Romor, Giovanni Stabile, Gianluigi Rozza
Journal: Journal of Computational Physics
Volume: 524, Article ID: 113729
Year: 2025

3. Generative Models for the Deformation of Industrial Shapes with Linear Geometric Constraints: model order and parameter space reductions
Authors: Guglielmo Padula, Francesco Romor, Giovanni Stabile, Gianluigi Rozza
Journal: Computer Methods in Applied Mechanics and Engineering
Volume: 423, Article ID: 116823
Year: 2024

4. A local approach to parameter space reduction for regression and classification tasks
Authors: Francesco Romor, Marco Tezzele, Gianluigi Rozza
Journal: Journal of Scientific Computing
Volume: 99, Issue: 3, Article ID: 83
Year: 2024

5. Non-linear Manifold Reduced-Order Models with Convolutional Autoencoders and Reduced Over-Collocation Method
Authors: Francesco Romor, Giovanni Stabile, Gianluigi Rozza
Journal: Journal of Scientific Computing
Volume: 94, Article ID: 74
Year: 2023
DOI: 10.1007/s10915-023-02128-2

Conclusion

In summary, Dr. Francesco Romor exemplifies the qualities of a forward-thinking and high-impact researcher in computational science. With a strong mathematical foundation, international experience, innovative applications of machine learning, and a robust publication record, he is well-positioned for prestigious research honors and academic recognition. His work not only advances numerical methods but also connects disciplines—from automotive engineering to biomedical modeling—making him a valuable asset to the global research community.

Assoc. Prof. Dr Sadullah Çelik | Quantitative Decision Methods | Best Academic Researcher Award |

Published on 18/04/202518/04/2025 by Award and Honors

Assoc. Prof. Dr. Sadullah Çelik | Quantitative Decision Methods | Best Academic Researcher Award

Aydın Adnan Menders University,Turkey

Assoc. Prof. Dr. Sadullah Çelik is a dynamic academician specializing in international trade, finance, and quantitative decision-making. With a strong foundation in mathematics and econometrics, he brings a multidisciplinary perspective to business and economic sciences. He is currently serving as a faculty member at Aydın Adnan Menderes University, Faculty of Economics and Administrative Sciences, Department of International Trade and Finance. Known for his dedication to teaching, research, and academic leadership, Dr. Çelik has contributed significantly to the development of innovative curricula and the advancement of data-driven decision-making in international business contexts.

profile

Google scholar

Education

Dr. Çelik earned his Bachelor’s degree in Mathematics from Celal Bayar University (2007–2011), followed by a Master’s degree in Geometry from Ege University, Institute of Science (2011–2013). He later pursued a Ph.D. in Econometrics from Uludağ University, Institute of Social Sciences (2013–2018), solidifying his expertise in statistical and econometric analysis. Demonstrating intellectual versatility, he also completed an associate degree in Opticianry from Ege University’s Atatürk Vocational School of Health Services.

Experience

Dr. Çelik began his academic career as a Research Assistant in the Department of Econometrics at Adnan Menderes University (2014–2021). He later joined the Department of International Trade and Finance, where he was promoted to Doctor Lecturer (2022) and subsequently to Associate Professor (2023). He has also served as the Vice Chair of the Department, showcasing his leadership abilities in academic management and curriculum development. His extensive teaching portfolio includes undergraduate and graduate-level courses such as Econometrics, Research Methods, E-commerce, International Business, and Innovation Management.

Research interest

Dr. Çelik’s primary research interests lie in Quantitative Decision Methods, Data Analytics, Business Statistics, and International Trade and Finance. His work bridges the analytical rigor of mathematics and econometrics with practical applications in global business environments. He is especially interested in how data-driven strategies can enhance international business operations, risk analysis, and financial decision-making processes.

Awards

Dr. Çelik has achieved notable academic milestones, including his appointment as Associate Professor in 2023, marking a significant recognition of his scholarly contributions. His continuous academic promotions—from Research Assistant to Associate Professorship—reflect his commitment to excellence in research, teaching, and service. While specific national or international awards are not detailed, his academic progression itself is a testament to merit and recognition within the Turkish higher education system.

Publications

1. Big Data and Data Visualization by S. Çelik and E. Akdamar, published in Academic Perspective International Refereed Journal of Social Sciences, Issue 65, pages 253–264, in 2018, has received 32 citations.

2. Analyzing Shakespeare’s Corpus with Text Mining by S. Steel, published in MANAS Journal of Social Studies, Volume 9, Issue 3, pages 1343–1357, in 2020, has been cited 17 times.

3. The Importance of Big Data Technologies for Businesses by S. Steel, published in Social Sciences Studies Journal, Volume 3, Issue 6, pages 873–883, in 2017, has accumulated 14 citations.

4. Big Data by S. Steel, published by Night Library, publication number 25931, page 176, in 2018, has received 13 citations.

5. High-frequency Words Have Higher Frequencies in Turkish Social Sciences Articles by N. Gursakal, S. Çelik, and S. Özdemir, published in Quality & Quantity, Volume 57, pages 1865–1887, in 2023, has received 7 citations.

Conclusion

In summary, Assoc. Prof. Dr. Sadullah Çelik is a well-rounded academic with a robust educational background, a strong teaching record, and a research portfolio focused on the intersection of data analytics and international business. His career reflects both depth and breadth in the social sciences, with an emphasis on analytical precision and practical application. With further expansion into international publications and collaborative research, Dr. Çelik is poised to make even greater contributions to academia and the global business research community.

Dr Ahmed Ramses El-Saeed | Mathematical Statistics | Best Researcher Award |

Published on 20/03/202520/03/2025 by Award and Honors

Dr. Ahmed Ramses El-Saeed | Mathematical Statistics | Best Researcher Award |

Faculty of Science, at Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia.

Dr. Ahmed Ramses El-Saeed is an accomplished Assistant Professor of Statistics at Imam Mohammad Ibn Saud Islamic University (IMSIU), Riyadh, Saudi Arabia. With a deep expertise in Bayesian and non-Bayesian inference, lifetime data analysis, and statistical modeling, he has made significant contributions to the field of mathematical statistics. His research focuses on the development of advanced statistical methodologies for real-world applications, including reliability engineering, data science, and econometrics. Over the years, Dr. El-Saeed has built a strong academic and research career, publishing impactful studies and actively engaging in statistical education and training.

Professional Profile

Education 🎓

Dr. El-Saeed earned his Ph.D. in Statistics from Cairo University, Egypt (2020), with a thesis titled “Bayesian and Non-Bayesian Inference for Some Inverted Lifetime Distributions under Progressive Censoring Schemes.” Prior to that, he completed his M.Sc. in Statistics (2015) at Cairo University, focusing on life testing sampling plans. His academic journey began with a B.A. in Commerce (Statistics and Insurance) from Zagazig University (2010), where he graduated with distinction. He has also completed specialized certifications in Deep Learning, R Programming, SPSS, and Structural Equation Modeling, enhancing his expertise in data analytics and computational statistics.

Professional Experience 💼

With over a decade of experience in academia, Dr. El-Saeed has held various teaching and research positions:

Assistant Professor of Statistics at IMSIU, Saudi Arabia (2023 – Present), where he teaches advanced statistical methodologies and supervises research projects.

Lecturer of Statistics at Al-Obour High Institute for Management and Informatics, Egypt (2020 – 2023), contributing to curriculum development and statistical training.

Assistant Lecturer and Demonstrator of Statistics (2012 – 2020), mentoring students and conducting research in mathematical statistics.

Awards & Honors 🏆

Dr. El-Saeed has been recognized for his academic excellence and contributions to statistical research. His work has been featured in reputable peer-reviewed journals, and he has received accolades for his dedication to statistical education and innovation. Additionally, his engagement in international research collaborations has positioned him as a respected scholar in the field.

Top Noted Publications 📚

Power Inverted Topp–Leone Distribution in Acceptance Sampling Plans
Authors: SGN Tahani A. Abushal, Amal S. Hassan, Ahmed R. El-Saeed
Journal: Computers, Materials & Continua
Citations: 26
Year: 2021

A New Distribution for Modeling Data with Increasing Hazard Rate: A Case of COVID-19 Pandemic and Vinyl Chloride Data
Authors: AH Tolba, CK Onyekwere, AR El-Saeed, N Alsadat, H Alohali, OJ Obulezi
Journal: Sustainability
Citations: 21
Year: 2023

Estimation of Entropy for Log-Logistic Distribution under Progressive Type II Censoring
Authors: ME M. Shrahili, Ahmed R. El-Saeed, Amal S. Hassan, Ibrahim Elbatal
Journal: Journal of Nanomaterials
Citations: 21
Year: 2022

Classical and Bayesian Estimation of the Inverse Weibull Distribution: Using Progressive Type‐I Censoring Scheme
Authors: A Algarni, M Elgarhy, A M Almarashi, A Fayomi, A R El-Saeed
Journal: Advances in Civil Engineering
Citations: 21
Year: 2021

Bayesian and Non-Bayesian Estimation of the Nadarajah–Haghighi Distribution: Using Progressive Type-I Censoring Scheme
Authors: I Elbatal, N Alotaibi, SA Alyami, M Elgarhy, AR El-Saeed
Journal: Mathematics
Citations: 12
Year: 2022

Acceptance Sampling Plans for the Three-Parameter Inverted Topp–Leone Model
Authors: SG Nassr, AS Hassan, R Alsultan, AR El-Saeed
Journal: Mathematical Biosciences & Engineering
Citations: 12
Year: 2022

Conclusion

Dr. Ahmed R. El-Saeed is a strong candidate for a Best Researcher Award, particularly if the award criteria emphasize expertise in Bayesian inference, lifetime data analysis, and statistical modeling. To enhance his chances, he should increase high-impact journal publications, seek research funding, and highlight past recognitions.

Prof Anita Tomar | Nonlinear Functional Analysis | Best Researcher Award |

Published on 18/03/202518/03/2025 by Award and Honors

Prof. Anita Tomar | Nonlinear Functional Analysis | Best Researcher Award |

Head, atPt. L. M. S. Campus, Sri Dev Suman Uttarakhand University, Rishikesh, Uttarakhand , India.

Prof. Anita Tomar is a distinguished mathematician and academic leader, serving as Professor and Head of the Department of Mathematics at Pt. L. M. S. Campus, Sri Dev Suman Uttarakhand University, Rishikesh. With over 25 years of teaching and research experience, she has significantly contributed to the field of Fixed Point Theory, Fractals, and Nonlinear Functional Analysis. Her work has influenced both academia and policy, particularly in curriculum development under NEP 2020.

Professional Profile

Education 🎓

Prof. Tomar holds a Ph.D. in Mathematics (2003) with a thesis on “Coincidences and Fixed Points of Single-Valued and Multivalued Maps.” She completed her M.Phil. (1986) and M.Sc. (1985) in Mathematics, both with first-division honors. Her academic journey is complemented by orientation and refresher courses from prestigious institutions like Lucknow University, Aligarh Muslim University, and Jamia Millia Islamia.

Professional Experience 💼

With 25+ years of experience, Prof. Tomar has been a Public Service Commission-selected faculty and has played a crucial role in academia. She is a life member of leading mathematical societies, including the Indian Mathematical Society and Indian Society for the History of Mathematics. Additionally, she serves as a subject expert for the Uttarakhand Subordinate Service Selection Commission (UKSSSC) and has been a key contributor to national curriculum development initiatives.

Research Interests 🌍

Her primary research areas include Fixed Point Theory and its Applications, Fractals, and Nonlinear Functional Analysis. She has made substantial contributions to mathematical modeling and computational techniques, impacting various interdisciplinary applications. She has also played a key role in syllabus development for mathematics and statistics under the National Education Policy (NEP) 2020, shaping the future of mathematics education in Uttarakhand.

Awards & Honors 🏆

Prof. Tomar has received numerous prestigious awards for her contributions to research and education, including:

Excellence in Research Award (2023) – Government of Uttarakhand, UCOST, and ONGC.

Chief Minister Excellence and Good Governance Award (2020-21) – Recognized for outstanding academic leadership.

Women Scientist Award (2021) – Uttarakhand Council of Science and Technology (UCOST).

Teacher of the Year (2020) – Honored for excellence in teaching and mentorship.

Top Noted Publications 📚

Weaker Forms of Commuting Maps and Existence of Fixed Points – SL Singh, A Tomar – 101 citations – J. Korea. Soc. Math. Educ. Ser. B: Pure Appl. Math., 2003

Fixed Point to Fixed Ellipse in Metric Spaces and Discontinuous Activation Function – M Joshi, A Tomar, SK Padaliya – 39 citations – Appl. Math. E-Notes, 2021

Fixed Point to Fixed Circle and Activation Function in Partial Metric Space – A Tomar, M Joshi, SK Padaliya – 31 citations – J. Appl. Anal., 2021 (DOI: 10.1155/2021/5525472)

On Fixed Points, Their Geometry and Application to Satellite Web Coupling Problem in Metric Spaces – M Joshi, A Tomar, T Abdeljawad – 29 citations – AIMS Mathematics, 2023

On Unique and Nonunique Fixed Points and Fixed Circles in Mbv-Metric Space and Application to Cantilever Beam Problem – M Joshi, A Tomar, AH Nabwey, R George – 28 citations – Journal of Function Spaces, 2021 (Article ID: 6681044)

Some Coincidence and Common Fixed Point Theorems Concerning F-Contraction and Applications – A Tomar, R Sharma – 25 citations – J. Internat. Math. Virtual Institute, 2018

Conclusion

Dr. Anita Tomar is a highly suitable candidate for the Best Researcher Award, given her extensive research output, awards, and contributions to academia. Strengthening international collaborations and securing funded projects would further elevate her profile for global recognition.

Prof Livija Cveticanin | Nonlinear Vibration | Best Researcher Award |

Published on 11/03/202511/03/2025 by Award and Honors

Prof. Livija Cveticanin | Nonlinear Vibration | Best Researcher Award |

Faculty of Technical Sciences, at University of Novi Sad , Serbia.

Prof. Livija Cveticanin is a distinguished mechanical engineer and researcher specializing in nonlinear vibrations and rotor dynamics. She has been a Full Professor at the University of Novi Sad, Faculty of Technical Sciences, since 1991, holding various leadership positions, including Head of the Institute of Mechanics and Mechanical Design and Vice-Dean. She earned her Ph.D. from UNS-FTS in 1981 and later received a Doctor of Science title from the Hungarian Academy of Sciences in 2013. Her research contributions include the development of the “Cveticanin Method” for solving nonlinear differential equations, with extensive applications in vibration diagnostics and noise reduction. Recognized among the top 2% of the most cited scientists globally (Stanford University, 2018 & 2020), she has published over 156 ISI-indexed journal papers, six monographs, and multiple book chapters, with more than 3,000 citations. She is an editor and reviewer for leading scientific journals and has been a plenary speaker at international conferences. Beyond academia, she has contributed to numerous engineering projects, co-authoring technical designs and production lines. Her international collaborations span Europe and beyond, making her a leading figure in mechanical engineering research.

Professional Profile

Education 🎓

Prof. Livija Cveticanin was born on April 7, 1952, in Senta. She completed her primary and secondary education in 1970. She earned her Bachelor’s degree in Mechanical Engineering from the University of Novi Sad (UNS) in 1975 with an outstanding GPA of 9.50/10. She obtained her Master’s degree in Mechanics from the University of Belgrade in 1977 and completed her Ph.D. in 1981 at the Faculty of Technical Sciences, UNS, specializing in the dynamics of machines and mechanisms with variable mass. In 2013, she was awarded the Doctor of Science title by the Hungarian Academy of Sciences, Budapest.

Professional Experience 💼

She has been a Full Professor at the University of Novi Sad, Faculty of Technical Sciences since 1991, holding various leadership roles such as Head of the Institute of Mechanics and Mechanical Design (1990–1996), Head of the Department of Technical Mechanics (2018–present), and Vice-Dean of UNS-FTS (1997–2000). Additionally, she served as the Head of the International Doctoral School of Safety and Security Sciences in Budapest, Hungary (since 2016). Her teaching expertise spans multiple engineering disciplines, and she has supervised numerous Ph.D., Master’s, and Bachelor’s theses.

Research Interests 🌍

Her research primarily focuses on nonlinear vibrations and rotor dynamics, including the development of a groundbreaking method for solving strong nonlinear differential equations, now known as the “Cveticanin Method.” She has significantly contributed to vibration diagnostics, noise reduction, and machine mechanics, impacting both academia and industry.

Awards & Honors 🏆

Prof. Cveticanin has been recognized among the top 2% of the most cited scientists worldwide by Stanford University in 2018 and 2020. She received the Thomson Reuters award for authoring one of Serbia’s most-cited single-author papers, ranking in the top 1% of most-cited physics papers in 2001. She holds an Honorary Professorship at Politehnica University of Timișoara, Romania.

Top Noted Publications 📚

Homotopy–Perturbation Method for Pure Nonlinear Differential Equation, L. Cveticanin, 323 citations, Chaos, Solitons & Fractals, 2006.

Dynamic Modeling of a Pneumatic Muscle Actuator with Two-Direction Motion, J. Sárosi, I. Biro, J. Nemeth, L. Cveticanin, 129 citations, Mechanism and Machine Theory, 2015.

Strong Nonlinear Oscillators, L. Cveticanin, 111 citations, Springer, Cham, 2018.

Oscillator with Fraction Order Restoring Force, L. Cveticanin, 109 citations, Journal of Sound and Vibration, 2009.

Dynamics of Machines with Variable Mass, L. Cveticanin, 99 citations, Routledge, 2022.

Conclusion

Strong candidate for the Best Researcher Award. Her exceptional publication record, scientific contributions, and recognition by prestigious institutions make her highly suitable. Expanding interdisciplinary research, international funding leadership, and public outreach could further strengthen her profile.

Dr M sangeetha | Operations research | Excellence in Research Award |

Published on 10/03/202510/03/2025 by Award and Honors

Dr. M sangeetha | Operations research | Excellence in Research Award |

Professor, at Dr.N.G.P.Arts and Science college , India.

Dr. M. Sangeetha is a Professor of Mathematics with over 22 years of teaching experience and 7 years of dedicated research in Fuzzy Operations Research. She has a strong academic foundation, with expertise in mathematical modeling, optimization techniques, and decision-making processes. Her research contributions, publications, and mentorship of Ph.D. scholars demonstrate her commitment to advancing mathematical sciences.

Professional Profile

Education 🎓

Dr. Sangeetha holds a Ph.D. in Mathematics from Chikkanna Government Arts College, Tirupur (2018). She completed her M.Phil. (2009) and M.Sc. (2001) in Mathematics from Government Arts College, Coimbatore. Additionally, she earned a B.Ed. in Mathematics (2010) from St. Marks B.Ed. College and a Postgraduate Diploma in Operations Research (PGDOR, 2015) from Nirmala College for Women, Bharathiar University. She has also completed online certifications in Graph Theory (NPTEL, 2020) and Basics of Python (Infosys Springboard, 2022), showcasing her commitment to continuous learning.

Professional Experience 💼

With 22+ years of college teaching experience, Dr. Sangeetha has been instrumental in shaping the careers of numerous students. She has also mentored 6 Ph.D. scholars (2 submitted synopsis, 6 ongoing), 1 M.Phil. student, and multiple M.Sc. research projects. Her role as an educator extends beyond teaching, fostering a research-driven academic environment.

Research Interests 🌍

Dr. Sangeetha specializes in Fuzzy Operations Research, focusing on fuzzy transportation problems, multi-objective optimization, and intuitionistic fuzzy systems. Her work contributes to decision-making models, logistics, and applied mathematics, addressing real-world challenges through advanced computational techniques and mathematical frameworks.

Awards & Honors 🏆

Dr. Sangeetha has been recognized for her contributions to research and academics. Her work has been published in Scopus-indexed journals, reflecting her commitment to high-quality research. She has also played a significant role in mentoring Ph.D. scholars and guiding research projects, contributing to the academic growth of her institution.

Top Noted Publications 📚

Dr. Sangeetha has authored several research papers in Scopus-indexed journals, focusing on fuzzy logic, transportation problems, and optimization techniques. Some of her notable publications include:

Fuzzy Largest Cost Entry Method of Transportation Problem Using Heptagonal Fuzzy Numbers (Nonlinear Studies, Scopus-indexed)

Multi-Objective Fuzzy Fully Linear Programming Transportation Problem (Mathematical Sciences International Research Journal, Scopus-indexed)

Similarity Measure Model in Intuitionistic Fuzzy Transportation Problem (IJPAM, Scopus-indexed)

Conclusion

Dr. Sangeetha has a strong foundation in research, publications, and mentorship, making her a deserving candidate for the Excellence in Research Award. Strengthening international collaborations, increasing high-impact publications, and securing research grants will further enhance her profile.

Prof Volodymyr Mikhailets | Analysis | Best Researcher Award |

Published on 21/02/202521/02/2025 by Award and Honors

Prof. Volodymyr Mikhailets | Analysis | Best Researcher Award

head of laboratory, at Institute of Mathematics of the National Academy of Sciences of Ukraine, Ukraine.

Prof. Volodymyr Mikhailets is a distinguished mathematician specializing in Partial Differential Equations (PDEs), Functional Analysis, and Mathematical Physics. With an academic career spanning over five decades, he has significantly contributed to spectral theory, interpolation methods, and Hilbert scales. Currently, he serves as a Visiting Professor at King’s College London and leads the Laboratory of PDEs at the Institute of Mathematics, National Academy of Sciences of Ukraine. His work has had a profound impact on both theoretical mathematics and applied mathematical models.

Professional Profile

Education 🎓

Prof. Mikhailets earned his Ph.D. in Mathematics (1976) and later a Doctor of Physical and Mathematical Sciences (Dr. habil., 1990) from the Institute of Mathematics, NAS of Ukraine. He completed his M.Sc. (1972) and B.Sc. (1971) in Mathematics with honors from Taras Shevchenko National University of Kyiv.

Professional Experience 💼

Prof. Mikhailets has held several key academic and research positions. Since 2019, he has been the Head of the Laboratory of PDEs at the Institute of Mathematics, NAS of Ukraine. He has served as a researcher at the Institute of Mathematics, Czech Academy of Sciences (2022–2024) and was a professor at the National Technical University of Ukraine (2013–2022). His previous positions also include professorships in Poland and research roles at NAS Ukraine since 1975.

Research Interests 🌍

His research primarily revolves around functional analysis, spectral theory, interpolation spaces, and differential equations. He has made significant advancements in the theory of Hilbert scales, elliptic and parabolic problems, and spectral properties of differential operators. His contributions extend to mathematical physics, particularly in the study of Schrödinger operators and eigenvalue problems.

Awards & Honors 🏆

Throughout his career, Prof. Mikhailets has been recognized for his outstanding contributions to mathematics. He has received multiple accolades from the National Academy of Sciences of Ukraine and has been invited to prestigious international research institutes in Poland, the Czech Republic, and the United Kingdom. His work continues to influence modern mathematical theory and applications.

Top Noted Publications 📚

Hörmander Spaces, Interpolation, and Elliptic Problems – V.A. Mikhailets, A.A. Murach – 127 citations – 2014

The Refined Sobolev Scale, Interpolation, and Elliptic Problems – V.A. Mikhailets, A.A. Murach – 102 citations – 2012

Improved Scales of Spaces and Elliptic Boundary-Value Problems II – V.A. Mikhailets, A.A. Murach – 81 citations – 2006

Interpolation with a Function Parameter and Refined Scale of Spaces – V.A. Mikhailets, A.A. Murach – 73 citations – 2007

Interpolation Hilbert Spaces Between Sobolev Spaces – V.A. Mikhailets, A.A. Murach – 62 citations – 2011

Conclusion

Dr. Mikhailets Volodymyr is a highly accomplished researcher in mathematics with a strong international reputation, leadership experience, and significant contributions to PDEs and mathematical physics. While his impact within mathematics is outstanding, his influence in broader interdisciplinary applications and global research awards could be expanded.

Assoc. Res. Dr Yueming Zhong | Algebraic Combinatorics | Best Researcher Award |

Published on 21/02/202527/02/2025 by Award and Honors

Assoc. Res. Dr Yueming Zhong | Algebraic Combinatorics | Best Researcher Award

Associate Researcher, at Hainan University, China.

Assoc. Res. Dr. Yueming Zhong is a dedicated researcher in algebraic combinatorics, with expertise in constant term identities, Ehrhart theory, and combinatorial enumeration. He has made significant contributions to the field through high-impact publications and research projects. Currently an Associate Researcher at Hainan University, China, he actively collaborates with leading mathematicians and mentors young researchers.

Professional Profile