Ehsan Kheirandish | Mathematics | Best Researcher Award

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Dr. Ehsan Kheirandish | Mathematics | Best Researcher Award

Applied Math. Department, Shahid Bahonar University, Iran

Dr. Ehsan Kheirandish is a Ph.D. graduate in Applied Mathematics from Shahid Bahonar University of Kerman, Iran. His academic journey reflects a consistent focus on the fields of numerical analysis and numerical linear algebra, with a particular specialization in matrix theory and tensor computations. With a solid background in theoretical and computational mathematics, Dr. Kheirandish has contributed to the understanding and development of generalized inverses, including W-weighted core-EP matrices and bilateral inverses via Einstein products. His work has been published in reputable peer-reviewed journals and presented at national mathematical conferences. He also possesses strong teaching and mentoring capabilities, having taught courses such as differential equations and numerical methods, and assisted in subjects including matrix theory and linear algebra. As an emerging researcher, Dr. Kheirandish is building a strong foundation for a promising academic and research-oriented career. His consistent publication record, collaboration with senior researchers, and participation in academic seminars showcase a commitment to advancing mathematical science. While still early in his career, his academic rigor and research clarity place him in a favorable position for future accomplishments in applied and computational mathematics.

Professional Profile

Education

Dr. Ehsan Kheirandish pursued a structured academic path in the field of mathematics. He began his undergraduate studies in 2011 at Hakim Sabzevari University, Iran, where he earned a Bachelor of Science (B.S.) degree in Mathematics in 2014. During his undergraduate studies, he developed a foundational understanding of core mathematical principles, which laid the groundwork for his graduate education. He furthered his studies with a Master of Science (M.S.) degree in Mathematics at Tabriz University from 2015 to 2017. Here, he began to engage with more advanced topics in numerical analysis and linear algebra, likely initiating his first exposure to research methods and applications in matrix theory. From 2018 to 2024, Dr. Kheirandish completed his Doctor of Philosophy (Ph.D.) in Applied Mathematics at Shahid Bahonar University of Kerman, Iran. His doctoral research focused on specialized matrix computations and the theoretical aspects of generalized inverses. Throughout his academic training, Dr. Kheirandish was mentored by expert mathematicians and collaborated with established researchers, which helped shape his research interests. His education has been consistent, rigorous, and deeply aligned with his current research output, positioning him well for academic and professional contributions to the field of applied mathematics.

Professional Experience

Dr. Ehsan Kheirandish has gained professional experience primarily through academic teaching and research activities within Iranian universities. During his postgraduate studies, he took on responsibilities as a teaching assistant in several mathematics courses, including Basics of Matrices and Linear Algebra, Numerical Analysis, and Numerical Linear Algebra. His involvement in course instruction extended to leading undergraduate classes in Differential Equations and Numerical Calculations, where he helped students understand complex mathematical theories through practical examples and problem-solving sessions. This experience demonstrates his ability to communicate mathematical ideas effectively and support student learning. In addition to teaching, Dr. Kheirandish has been actively engaged in research projects, often in collaboration with senior scholars such as A. Salemi and Q. Wang. Although his professional roles have thus far remained within the academic sphere, his consistent participation in national seminars and mathematics conferences indicates a proactive effort to integrate research with professional development. Dr. Kheirandish’s academic positions have not yet extended to formal university faculty roles or international appointments; however, his profile reflects growing expertise and responsibility within academic institutions in Iran. His professional experience underscores a balance between teaching, mentorship, and original research contributions in applied mathematics.

Research Interest

Dr. Ehsan Kheirandish’s research interests lie at the intersection of numerical analysis and numerical linear algebra, with a particular focus on generalized inverses of matrices and tensors. His work centers on the theoretical development and practical computation of matrix inverses, including novel concepts like W-weighted core-EP matrices and generalized bilateral inverses. A significant part of his recent research also investigates the applications of these mathematical structures in solving singular tensor equations, which have implications in computational science, engineering, and data analysis. He is especially interested in extending classical linear algebra concepts to high-dimensional and structured data systems through operations such as the Einstein product. This interest aligns with current trends in applied mathematics that explore tensor analysis and multilinear algebra. His research is both mathematically rigorous and computationally relevant, indicating a commitment to bridging theory with practical applications. Dr. Kheirandish’s ongoing collaborations with established researchers suggest that he is contributing to the advancement of specialized topics in linear algebra. While his current research is highly focused, there is potential for expansion into interdisciplinary domains such as machine learning, scientific computing, and applied physics, where tensor-based methods are increasingly relevant.

Research Skills

Dr. Ehsan Kheirandish possesses a strong set of research skills rooted in theoretical mathematics and numerical computation. His expertise in numerical linear algebra is evident in his published work on generalized inverses, tensor algebra, and matrix decomposition techniques. He demonstrates proficiency in analytical problem-solving, mathematical modeling, and symbolic computation, which are essential for his research topics. His work with the Einstein product and singular tensor equations indicates advanced capabilities in high-dimensional algebraic computations. Furthermore, his publication record suggests competence in using mathematical software tools, possibly including MATLAB, Mathematica, or Python-based numerical libraries, although specific tools are not explicitly listed in his CV. Dr. Kheirandish also shows skill in academic writing and collaboration, having co-authored several articles in peer-reviewed journals. His presentations at national mathematics seminars and conferences demonstrate his ability to communicate complex mathematical ideas to academic audiences. Through his teaching assistant roles, he has further honed his skills in mentoring, instructional design, and conveying abstract concepts effectively. As an emerging researcher, Dr. Kheirandish combines a solid theoretical foundation with practical research techniques, positioning himself well for continued contributions to computational mathematics and applied analysis.

Awards and Honors

While the CV does not mention specific awards or honors formally received by Dr. Ehsan Kheirandish, his research output and academic activities reflect a level of merit and recognition within his field. He has published in respected journals such as the Journal of Computational and Applied Mathematics and Computational and Applied Mathematics, which indicates peer validation of his work. Additionally, his selection as a speaker at the 53rd Annual Iranian Mathematics Conference and the 11th Seminar on Linear Algebra and its Applications suggests recognition from the national academic community. These presentations provide important platforms for early-career researchers to showcase their work and receive feedback from experts, and his participation implies a growing reputation in specialized mathematics circles. While formal honors such as research fellowships, international grants, or best paper awards are not currently listed, Dr. Kheirandish’s academic path and publication record reveal a trajectory of scholarly achievement. With continued focus on expanding the visibility and impact of his research, he is well-positioned to receive future awards and distinctions in the field of applied and computational mathematics.

Conclusion

Dr. Ehsan Kheirandish is a highly capable and focused early-career researcher in applied mathematics, demonstrating commendable depth in numerical linear algebra and matrix theory. His doctoral research, combined with a consistent publication record and academic engagement, reflects a clear and structured approach to advancing knowledge in his chosen domain. Through teaching, assisting in core mathematical subjects, and publishing collaborative research, he has established himself as a promising academic in the Iranian mathematical community. Although his international exposure and interdisciplinary reach are currently limited, his strong foundational skills and specialized focus provide a solid platform for future growth. To further enhance his research profile, engaging in international collaborations, securing competitive funding, and exploring real-world applications of his mathematical work would be beneficial. Overall, Dr. Kheirandish exemplifies the qualities of a dedicated and methodical researcher with strong potential for academic leadership. His contributions thus far position him as a worthy candidate for recognitions such as the Best Researcher Award, especially in categories that value depth, consistency, and clarity of research focus.

Publications Top Notes

  • Title: Further characterizations of W-weighted core-EP matrices
    Authors: A. Salemi and Q. Wang
    Year: 2025
    Journal: Journal of Computational and Applied Mathematics

  • Title: Properties of core-EP matrices and binary relationships
    Authors: A. Salemi and N. Thome
    Year: 2024
    Journal: Computational and Applied Mathematics

  • Title: Generalized bilateral inverses of tensors via Einstein product with applications to singular tensor equations
    Authors: A. Salemi
    Year: 2023
    Journal: Computational and Applied Mathematics

  • Title: Generalized bilateral inverses
    Authors: A. Salemi
    Year: 2023
    Journal: Journal of Computational and Applied Mathematics

Ankur Singh | Mathematics | Young Scientist Award

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Dr. Ankur Singh | Mathematics | Young Scientist Award

Assistant Professor from PDEU Gandhinagar, India

Dr. Ankur Singh is an accomplished Assistant Professor (Grade-I) in the Department of Mathematics at Pandit Deendayal Energy University, India. With a Ph.D. in Mathematics from the Indian Institute of Technology (ISM) Dhanbad, he specializes in Algebraic Coding Theory and Number Theory. His research primarily focuses on self-dual codes, quantum codes, and the intricate relationship between lattices and modular forms. Dr. Singh has a robust academic and research background complemented by hands-on experience in teaching undergraduate and postgraduate courses. He has supervised Ph.D. students and actively contributes to organizing academic workshops and conferences. His publications appear in reputable journals covering topics like self-dual codes over finite rings, Jacobi forms, and theta series. Dr. Singh has received funding for research projects, including a significant grant on quantum error-correcting codes from the National Board for Higher Mathematics (NBHM), Government of India. He is a life member of prominent mathematical societies and proficient in using advanced mathematical tools like Mathematica, Sage, and Magma. His work bridges theoretical mathematics with practical applications in coding and cryptography, marking him as a promising candidate for recognition as a young scientist.

Professional Profile

Education

Dr. Ankur Singh completed his Ph.D. in Pure Mathematics at the Indian Institute of Technology (ISM), Dhanbad, in 2020, earning a CGPA of 8.00. His doctoral research focused on codes over finite commutative local rings, lattices induced from codes, theta series, and modular forms. Prior to his Ph.D., he completed his Master of Science in Mathematics at the Indian Institute of Technology Madras in 2013, securing a CGPA of 7.53. His M.Sc. work included complex analysis under the supervision of Prof. M.T. Nair. Dr. Singh holds a Bachelor of Science degree in Mathematics, Physics, and Chemistry from Ewing Christian College, Allahabad (University of Allahabad), completed in 2010 with a commendable 67.67%. His foundational education includes completion of high school studies with strong academic performance in the state of Uttar Pradesh, India. Throughout his academic journey, Dr. Singh has consistently qualified competitive examinations such as GATE and JAM in Mathematics, showcasing his strong mathematical aptitude and theoretical knowledge.

Professional Experience

Dr. Singh currently serves as an Assistant Professor (Grade-I) at Pandit Deendayal Energy University, where he teaches various undergraduate and postgraduate mathematics courses, including Numerical Methods, Linear Algebra, and Discrete Mathematics. Since November 2022, he has been engaged in both teaching and research, mentoring Ph.D. students and coordinating workshops on the applications of mathematics in machine learning. Prior to this, he worked as a faculty member at VIT-AP University from 2019 to 2022, teaching advanced mathematical topics such as Applied Linear Algebra and Differential Equations. During his Ph.D. tenure at IIT (ISM) Dhanbad, Dr. Singh was a Junior and then Senior Research Fellow, where he also served as a teaching assistant, supervising tutorials and laboratory courses. His professional roles have consistently blended teaching, research, and academic leadership, demonstrating his capability to foster knowledge dissemination and contribute to the advancement of mathematical sciences.

Research Interests

Dr. Singh’s research interests lie predominantly in Algebraic Coding Theory and Number Theory. He specializes in the study and construction of self-dual codes, including Type I and Type II codes over finite rings, and their applications in quantum coding and DNA coding. His work extends to the construction of lattices induced from codes and the analysis of their theta series and modular forms such as Jacobi forms and Siegel upper half-plane forms. He also investigates quantum synchronizable codes and explores the relationships between complete weight enumerators and theta series over various number fields. His research integrates deep theoretical mathematics with practical coding applications, particularly in error-correcting codes, cryptography, and quantum information science. This blend of abstract algebra, geometry, and computational tools positions his work at the cutting edge of coding theory and mathematical research.

Research Skills

Dr. Singh is proficient in advanced mathematical software and tools including Mathematica, Sage, and Magma, which he employs for symbolic computations, code construction, and algebraic manipulations. His expertise encompasses coding theory techniques such as generator matrix construction, weight enumerators, and code optimality assessments. He is skilled in analyzing algebraic structures over finite rings and fields and in exploring modular and Jacobi forms within number theory. Additionally, Dr. Singh has experience in supervising mathematical research and guiding Ph.D. candidates, showing strong mentoring and academic leadership abilities. His familiarity with applied mathematics and computational methods allows him to bridge pure mathematics with real-world applications, particularly in cryptography and quantum error correction. This diverse skill set enhances his capability to conduct innovative research and contribute meaningfully to both theoretical and applied mathematical sciences.

Awards and Honors

Dr. Ankur Singh has been the recipient of several prestigious awards and funding grants throughout his career. Notably, he secured a research project grant from the National Board for Higher Mathematics (NBHM), Department of Atomic Energy, India, for the period 2025–2028, focusing on maximum distance separable quantum error-correcting codes. He has also received funding support from the Gujarat DST to organize a workshop on Applications of Mathematics in Machine Learning (AMMLA-2025). His research excellence was recognized early with a Senior Research Fellowship and Junior Research Fellowship at IIT (ISM) Dhanbad. He qualified highly competitive national examinations, including GATE and JAM in Mathematics. Dr. Singh’s memberships include life membership in the Indian Mathematical Society and the Society of Applied Mathematics. His travel grant from NBHM enabled him to participate in international research schools, underscoring his active engagement with the global mathematics community.

Conclusion

Dr. Ankur Singh’s impressive academic background, extensive research contributions, and active involvement in both teaching and organizing scholarly activities mark him as a strong candidate for the Young Scientist Award. His work in algebraic coding theory and number theory is both theoretically profound and practically significant, particularly in emerging fields such as quantum error correction and cryptography. Supported by notable grants and recognized by his peers, Dr. Singh demonstrates the qualities of a promising young researcher with the potential to make impactful advances in mathematics. Continued support and recognition would further empower him to expand his research, foster collaborations, and contribute to the development of innovative mathematical tools and techniques. Overall, Dr. Singh exemplifies the blend of academic excellence, research innovation, and leadership that the Young Scientist Award seeks to honor.

Publication Top Notes

  1. Type I and Type II codes over the ring
    Authors: Ankur, PK Kewat
    Journal: Asian-European Journal of Mathematics, 12(02), Article 1950025
    Year: 2019
    Citations: 2

  2. Self-dual codes over the ring and Jacobi forms
    Author: Ankur
    Journal: Asian-European Journal of Mathematics, 10(03), Article 1750055
    Year: 2017
    Citations: 2

  3. Diagnosis of Parkinson disease patients using Egyptian vulture optimization algorithm
    Authors: A Dixit, A Sharma, A Singh, A Shukla
    Conference: International Conference on Swarm, Evolutionary, and Memetic Computing, pp. 92-103
    Year: 2015
    Citations: 2

  4. Binary self-dual codes and Jacobi forms over a totally real subfield of
    Authors: Ankur, PK Kewat
    Journal: Applicable Algebra in Engineering, Communication and Computing, 34(3), pp. 377-392
    Year: 2023
    Citations: 1

  5. Type I and Type II codes over the ring
    Author: Ankur
    Journal: Arabian Journal of Mathematics, 9(1), pp. 1-7
    Year: 2020
    Citations: 1

  6. Construction of lattices over the real sub-field of ℚ(ς8) for block fading (wiretap) coding
    Authors: A Singh, P Kumar, A Shukla
    Journal: Discrete Mathematics, Algorithms & Applications, 17(4)
    Year: 2025

  7. A Review: On Special type of Quantum Error Correcting Codes
    Authors: UU Shinde, A Singh
    Journal: Discrete Mathematics, Algorithms and Applications
    Year: 2025

  8. Fuzzy-Based Security Assurance Framework Considering Uncertainty
    Authors: A Shukla, A Singh, B Katt, MM Yamin, S Pirbhulal, H Garg
    Book Chapter: Computational Modeling and Sustainable Energy: Proceedings of ICCMSE 2023, p. 115
    Year: 2025

  9. Theta series and weight enumerator over an imaginary quadratic field
    Authors: Ankur, KP Shum
    Journal: Asian-European Journal of Mathematics, 14(06), Article 2150098
    Year: 2021

  10. Self-dual codes over and Jacobi forms over a totally real subfield of
    Authors: Ankur, PK Kewat
    Journal: Designs, Codes and Cryptography, 89, pp. 1091-1109
    Year: 2021

  11. Theta series and its relation with the Weight Enumerator
    Author: Ankur
    Journal: ARS COMBINATORIA, 154, pp. 235-244
    Year: 2021

  12. Decomposition of Self-dual Codes Over a Commutative Non-Chain Ring
    Authors: Ankur, PK Kewat
    Journal: Malaysian Journal of Mathematical Sciences, 14(3)
    Year: 2020

  13. Codes over finite commutative local rings and their relation with lattices theta series and Jacobi forms
    Author: Ankur
    Institution: Indian Institute of Technology (ISM) Dhanbad, PhD Thesis
    Year: 2020

  14. SELF-DUAL CODES OVER THE RING F₂^m + uF₂^m + vF₂^m + uvF₂^m
    Author: Ankur
    Journal: Proceedings of the Jangjeon Mathematical Society, 21(4), pp. 617-625
    Year: 2018

 

 

Samvel Darbinyan | Mathematics | Best Researcher Award

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Assoc. Prof. Dr Samvel Darbinyan | Mathematics | Best Researcher Award

Leading Researcher from Institute for Informatics and Automation Problems of the National Academy of Sciences of the Republic of Armenia

Dr. Samvel Kh. Darbinyan is a highly accomplished researcher and academician with more than five decades of experience in the fields of applied mathematics, informatics, and automation. Serving as a Leading Researcher at the Institute for Informatics and Automation Problems (IIAP) of the National Academy of Sciences of Armenia, Dr. Darbinyan has dedicated his professional life to advancing scientific knowledge and nurturing academic excellence. He holds a Ph.D. in Physics-Mathematical Sciences and the title of Associate Professor, and is recognized for his valuable contributions to scientific research and education in Armenia. Throughout his career, Dr. Darbinyan has demonstrated a consistent commitment to producing high-quality scholarly work, authoring more than 60 scientific publications. His role as a lecturer, researcher, and mentor reflects a versatile academic portfolio, contributing to both institutional growth and the broader scientific community. Fluent in Armenian, Russian, and English, he effectively communicates his research across linguistic and cultural boundaries. As a dedicated scholar who has steadily advanced through the ranks from junior researcher to leading researcher, Dr. Darbinyan exemplifies academic perseverance, intellectual rigor, and research integrity. His remarkable journey serves as an inspiration for the upcoming generation of researchers in Armenia and beyond.

Professional Profile

Education

Dr. Samvel Kh. Darbinyan’s educational journey began at Yerevan State University, where he studied from 1967 to 1972 in the Department of Applied Mathematics. He earned a Diploma in Mathematics, laying the groundwork for his long and impactful academic and research career. His foundational training at one of Armenia’s most prestigious institutions equipped him with strong analytical, logical, and problem-solving skills that would guide his future work. Following his military service in the Soviet Army from 1972 to 1974, he pursued advanced studies through a post-graduate program at the National Academy of Sciences of Armenia between 1976 and 1979. His focus during this period was aligned with applied mathematics and informatics, which remained central themes throughout his professional journey. In 1981, he received the Diploma of PhD (Candidate of Physical and Mathematical Sciences) from the Supreme Certifying Commission of the Soviet Union in Moscow—a distinguished academic achievement at the time. Later, in 2011, he was awarded the title of Associate Professor (docent), recognizing his continued scholarly contributions and expertise in his field. Dr. Darbinyan’s academic credentials represent a firm foundation of knowledge that has been continuously enriched by decades of research, mentorship, and academic engagement.

Professional Experience

Dr. Samvel Kh. Darbinyan’s professional career is a testament to long-standing dedication and progressive leadership within Armenia’s scientific research community. His career began in 1974 as a Junior Scientific Researcher at the Institute for Informatics and Automation Problems (IIAP) of the National Academy of Sciences of Armenia. Over the following decades, he rose through the ranks: serving as a Scientific Researcher from 1982 to 1985, then as a Senior Scientific Researcher from 1985 until 2020. In 2021, he was promoted to the role of Leading Researcher at IIAP, a position that reflects his seniority, expertise, and ongoing contributions. Alongside his research responsibilities, Dr. Darbinyan also contributed to academia as a Lecturer at the Institute of National Economy in Yerevan during two terms: from 1988 to 1990 and again from 2008 to 2011. These experiences underscore his dual strength in both research and education. His professional timeline reveals not only dedication but also an ability to adapt and lead in an evolving scientific landscape. With an unwavering commitment to the IIAP for over 40 years, Dr. Darbinyan has established himself as a pillar of research excellence in Armenia, continuously shaping the development of informatics and automation sciences.

Research Interests

Dr. Samvel Kh. Darbinyan’s research interests are deeply rooted in applied mathematics, informatics, and automation problems. Throughout his academic career, he has explored the mathematical underpinnings of information processing systems and the development of models that enhance computational efficiency. His early work, shaped by the rigorous education he received at Yerevan State University and the National Academy of Sciences of Armenia, formed the basis for a lifelong exploration into mathematical logic, system analysis, and algorithm development. A consistent theme in his research is the advancement of mathematical methodologies to solve complex scientific and engineering problems. He is particularly interested in the design and optimization of automated systems, the theory of algorithms, and applications of informatics in interdisciplinary domains. Although many of his published works remain within national academic circles, his contributions have been instrumental in shaping Armenia’s research infrastructure in informatics. His knowledge of Russian, Armenian, and English allows him to access a broad spectrum of scientific literature, facilitating comprehensive research outcomes. With more than 60 publications to his credit, Dr. Darbinyan continues to refine his focus on bridging theoretical foundations with practical innovations in automation and computational systems, positioning his research at the intersection of theory and real-world applications.

Research Skills

Dr. Samvel Kh. Darbinyan possesses a robust set of research skills that reflect both depth and breadth across mathematical and computational disciplines. As a trained applied mathematician, he is skilled in formulating mathematical models, developing algorithms, and solving complex analytical problems. His expertise extends to system analysis, logic, and automation processes—core elements in the field of informatics. With a career spanning more than four decades at the Institute for Informatics and Automation Problems, he has honed his ability to work collaboratively in research teams, supervise junior researchers, and lead independent investigations. Dr. Darbinyan has demonstrated proficiency in conducting rigorous literature reviews, drafting high-quality scientific manuscripts, and presenting findings at scholarly venues. He is also adept at translating complex mathematical theories into applicable solutions in automation systems. His trilingual capabilities (Armenian, Russian, and English) enable him to engage with diverse academic communities and international research outputs. In addition, his teaching background at the Institute of National Economy highlights his capacity to simplify and communicate complex ideas to students. Altogether, Dr. Darbinyan’s research skills position him as a strategic thinker and problem solver, capable of advancing both theoretical and applied dimensions of scientific inquiry.

Awards and Honors

Dr. Samvel Kh. Darbinyan has received notable academic recognitions that affirm his longstanding contributions to mathematics and informatics. His most distinguished academic milestone is the conferral of the Candidate Degree in Physics-Mathematical Sciences (Ph.D.) by the Supreme Certifying Commission of the Soviet Union in 1981. This honor marked a significant early achievement in his career, recognizing the depth and originality of his research. In 2011, he was awarded the academic title of Associate Professor (docent), acknowledging his sustained contributions to higher education and scientific research in Armenia. These formal recognitions are a testament to Dr. Darbinyan’s scholarly credibility and academic influence within the Armenian scientific community. While there is no record of international awards or global fellowships, his national awards are indicative of a respected academic presence within the region. His long tenure at a leading national research institution and his consistent publication record further reinforce the trust placed in him by his peers and the scientific establishment. Though modest in public accolades, Dr. Darbinyan’s career is rich in academic substance, institutional leadership, and mentorship—elements that define the core of true scientific excellence and integrity.

Conclusion

In conclusion, Dr. Samvel Kh. Darbinyan stands as a distinguished figure in Armenia’s scientific and academic community. With a career that spans over five decades, he has consistently demonstrated a commitment to advancing the fields of applied mathematics, informatics, and automation. His scholarly contributions, particularly his 60+ scientific publications, serve as evidence of his intellectual rigor and dedication to knowledge generation. From his early education at Yerevan State University to his long-term association with the Institute for Informatics and Automation Problems, Dr. Darbinyan has shown unwavering devotion to scientific excellence and national development. His ability to mentor young scholars, teach complex topics, and lead research initiatives exemplifies his multifaceted role in academia. While there remains room for expanding his international visibility, his national impact is substantial and worthy of recognition. His achievements, combined with his institutional leadership and academic honors, make him a compelling candidate for accolades such as the Best Researcher Award. Dr. Darbinyan’s legacy is one of resilience, intellectual honesty, and lifelong learning—qualities that not only define a researcher but also inspire generations to come.

Publications Top Notes

  • Title: On Three Conjectures of Thomassen and the Extremal Digraphs for Two Conjectures of Nash-Williams

  • Authors: S.K. Darbinyan, Samvel Kh

  • Year: 2025

  • Journal: Journal of Graph Theory

 

 

Suleyman Cetinkaya | Mathematics | Best Researcher Award

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Assist. Prof. Dr. Suleyman Cetinkaya | Mathematics | Best Researcher Award

Assist. Prof. Dr. at Department of Mathematics from Kocaeli University, Turkey

​Asst. Prof. Süleyman Çetinkaya is a distinguished academic in the Department of Mathematics at Kocaeli University’s Faculty of Arts and Sciences. His research primarily focuses on applied mathematics, with a particular emphasis on fractional calculus and its applications in solving complex differential equations. Throughout his career, Dr. Çetinkaya has contributed significantly to the field, authoring numerous publications and presenting his findings at various international conferences.

Professional Profile​

Education

Dr. Çetinkaya completed his undergraduate studies in 1987 at Istanbul University’s Faculty of Literature, majoring in German Language and Literature. He further pursued a master’s degree at Istanbul University’s Faculty of Economics, focusing on the socio-cultural structure of the European Union. His thesis, titled “Environmental Policy in Local Governments During the EU Accession Process,” reflects his interdisciplinary approach, integrating environmental concerns with socio-economic studies.​

Professional Experience

Beginning his career in 1993 at Tuzla Municipality, Dr. Çetinkaya held multiple roles, including Director of Private Office, Account Affairs, Environmental Protection and Cleaning Affairs, Health Affairs, and Foreign Relations. In 2010, he transitioned to academia, joining Kocaeli University as a Research Assistant. His diverse professional background enriches his teaching and research, providing students with real-world insights into the applications of mathematics in various sectors.​

Research Interests

Dr. Çetinkaya’s research interests lie in applied mathematics, specifically fractional calculus. He explores the solutions of fractional differential equations and their applications in modeling real-world phenomena. His work aims to bridge the gap between theoretical mathematics and practical applications, contributing to advancements in engineering and technology.​

Research Skills

With expertise in fractional calculus, Dr. Çetinkaya employs analytical and numerical methods to tackle complex mathematical problems. His proficiency in developing and applying mathematical models enables him to address challenges in various scientific and engineering domains. Additionally, his interdisciplinary background allows him to integrate concepts from different fields, enhancing the depth and applicability of his research.​

Awards and Honors

Dr. Çetinkaya’s contributions to mathematics have been recognized through various accolades. He has an H-index of 4 in Web of Science and 2 in Scopus, reflecting the impact and quality of his research. His publications have garnered numerous citations, underscoring his influence in the academic community.​

Conclusion

Asst. Prof. Süleyman Çetinkaya exemplifies dedication to both academic excellence and practical application of mathematical principles. His interdisciplinary education and diverse professional experience enrich his research and teaching methodologies. By focusing on fractional calculus and its real-world applications, Dr. Çetinkaya continues to contribute significantly to the advancement of applied mathematics, inspiring both his peers and students.

Publications Top Notes​

  • Title: A New Approach for the Fractional Rosenau–Hyman Problem by ARA Transform
    Authors: Suleyman Cetinkaya; Ali Demir
    Year: 2025

  • Title: The Effect of New Integral Transform on the Establishment of Solutions for Fractional Mathematical Models
    Authors: Suleyman Cetinkaya; Ali Demir; Hulya Kodal Sevindir
    Year: 2024

  • Title: On the Solution of Mathematical Model Including Space-Time Fractional Diffusion Equation in Conformable Derivative, Via Weighted Inner Product
    Authors: Süleyman Çetinkaya; Ali Demir
    Year: 2023

  • Title: The Analytic Solution of the Fractional Rosenau–Hyman Model in Liouville-Caputo Sense
    Authors: Suleyman Cetinkaya; Ali Demir
    Year: 2023

  • Title: Time Fractional Problem via Inner Product Including Weighted Function
    Authors: Süleyman Çetinkaya; Ali Demir
    Year: 2022

  • Title: On Effects of a New Method for Fractional Initial Value Problems
    Authors: Hülya Kodal Sevindir; Süleyman Çetinkaya; Ali Demir; Zengtao Chen
    Year: 2021

  • Title: Analysis of Fractional Fokker-Planck Equation with Caputo and Caputo-Fabrizio Derivatives
    Authors: Suleyman Cetinkaya; Ali Demir; Dumitru Baleanu
    Year: 2021

  • Title: Solution of Space-Time-Fractional Problem by Shehu Variational Iteration Method
    Authors: Suleyman Cetinkaya; Ali Demir; Hulya Kodal Sevindir; Marianna Ruggieri
    Year: 2021

  • Title: Time Fractional Equation with Non-homogenous Dirichlet Boundary Conditions
    Authors: Süleyman Çetinkaya; Ali Demir
    Year: 2020

  • Title: Equation Including Local Fractional Derivative and Neumann Boundary Conditions
    Authors: Süleyman Çetinkaya; Ali Demir
    Year: 2020

  • Title: The Analytic Solution of Time-Space Fractional Diffusion Equation via New Inner Product with Weighted Function
    Authors: Süleyman Çetinkaya; Ali Demir
    Year: 2019

  • Title: Asymptotic Analysis of Shearlet Transform for Inpainting
    Authors: Hülya Kodal Sevindir; Cüneyt Yazıcı; Süleyman Çetinkaya
    Year: 2018

 

Lakshmi Narayan Mishral | Mathematics | Best Researcher Award

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Dr . Lakshmi Narayan Mishral | Mathematics | Best Researcher Award

Assistant Professor Senior Grade 2, Vellore Institute of Technology, Vellore, Tamil Nadu, Vellore, India.

Dr. Lakshmi Narayan Mishra is a distinguished scholar in the field of mathematics, currently serving as a faculty member at the Vellore Institute of Technology, India. With a Ph.D. focused on nonlinear integral equations, his research spans various areas, including neural networks, fractional calculus, and optimization. Dr. Mishra has published extensively, contributing to numerous peer-reviewed journals and focusing on topics such as existence theorems and approximation theory. He has supervised multiple Ph.D. candidates, demonstrating a commitment to fostering the next generation of researchers. His work is recognized for its practical applications in areas like dynamic programming and signal processing. Despite his significant achievements, there are opportunities for Dr. Mishra to enhance his interdisciplinary collaboration and increase his visibility in global academic forums. Overall, his contributions to mathematics and dedication to research and education position him as a strong candidate for the Best Scholar Award.

 

Publication Profile👤

Current Position

Dr. Lakshmi Narayan Mishra currently serves as a faculty member in the Department of Mathematics at the Vellore Institute of Technology (VIT) in Vellore, Tamil Nadu, India. Since May 2018, he has been involved in both teaching and research, contributing significantly to various areas of mathematics, particularly in neural networks, fractional calculus, and nonlinear analysis. His extensive research background includes a Ph.D. focused on nonlinear integral equations, and he has authored numerous publications in reputable journals. Dr. Mishra is dedicated to advancing mathematical knowledge and mentoring students, supervising several Ph.D. candidates in their research pursuits. He is actively engaged in academic activities and is well-respected in the mathematical community for his expertise and contributions to the field. His commitment to research excellence and education underscores his role as a valuable asset to VIT and the broader academic community.

 

Previous Experience

Dr. Lakshmi Narayan Mishra has a diverse academic background and extensive experience in teaching and research. He began his career as a lecturer at Mody University of Science and Technology, where he taught undergraduate and postgraduate students. Subsequently, he served as an Assistant Professor at Lovely Professional University, engaging in both teaching and research activities. Since May 2018, Dr. Mishra has been a faculty member at the Vellore Institute of Technology, contributing to the Department of Mathematics. In addition to his teaching roles, he has been involved in supervising several Ph.D. candidates, guiding them in their research projects. His previous experience includes working as a research scholar at the National Institute of Technology, Silchar, where he deepened his expertise in nonlinear analysis, approximation theory, and fractional calculus. Dr. Mishra’s broad academic exposure equips him with valuable insights into the evolving landscape of mathematical research and education.

 

Educational Background

Dr. Lakshmi Narayan Mishra has an impressive educational background in mathematics. He completed his Bachelor of Science in 2010 and Master of Science in Mathematics in 2012, both from Dr. Ram Manohar Lohia Avadh University, Ayodhya. He then pursued his Ph.D., focusing on nonlinear integral equations and their applications, which he completed in February 2017 at the National Institute of Technology, Silchar. His doctoral research, titled “On existence and behavior of solutions to some nonlinear integral equations with applications,” showcases his deep understanding of advanced mathematical concepts. Dr. Mishra’s academic journey reflects his dedication to the field, reinforced by various research interests, including neural networks, fractional calculus, and nonlinear analysis. His educational qualifications provide a strong foundation for his ongoing contributions to mathematical research and teaching, positioning him as a prominent figure in his area of expertise.

 

Research Directions

Dr. Lakshmi Narayan Mishra’s research primarily focuses on various advanced topics in mathematics, including neural networks, fractional calculus, and nonlinear integral equations. His work explores the existence and behavior of solutions to nonlinear integral equations, emphasizing applications in fields like dynamic programming and optimization. He also investigates fixed-point theory and approximation theory, contributing significantly to the understanding of numerical solutions in fractional differential equations. Additionally, Dr. Mishra’s research extends to areas such as measure of noncompactness, Banach algebra, and operator theory, which play crucial roles in the analysis of functional equations. His interdisciplinary approach not only enhances theoretical frameworks but also facilitates practical applications in signal processing, image analysis, and optimization problems, showcasing the versatility and relevance of his work in contemporary mathematical research. Through his publications and ongoing Ph.D. supervision, Dr. Mishra continues to inspire and guide emerging scholars in the field.

 

Professional Contributions

Dr. Lakshmi Narayan Mishra has made significant professional contributions in the field of mathematics, particularly in areas such as neural networks, fractional calculus, and nonlinear integral equations. He has published extensively in peer-reviewed journals, with a focus on the existence and behavior of solutions to complex mathematical equations, which has advanced understanding in both theoretical and applied mathematics. Dr. Mishra’s work in approximation theory and functional analysis demonstrates his commitment to tackling challenging problems, leading to innovative solutions that have practical applications in various fields, including dynamic programming and signal processing. As a dedicated educator, he has supervised multiple Ph.D. candidates, fostering the next generation of mathematicians. His involvement in academic collaborations, along with his active participation in conferences and seminars, further underscores his commitment to the mathematical community. Overall, Dr. Mishra’s contributions reflect a profound impact on both research and education in mathematics.

Conclusion

Dr. Lakshmi Narayan Mishra is a commendable candidate for the Best Scholar Award, showcasing a robust academic and research background in mathematics. His impressive educational qualifications, culminating in a Ph.D. focused on nonlinear integral equations, reflect his expertise in a diverse range of specializations, including neural networks and fractional calculus. Dr. Mishra’s substantial publication record, featuring numerous articles in reputable journals, demonstrates his commitment to advancing mathematical research. His effective supervision of Ph.D. candidates further illustrates his dedication to nurturing the next generation of scholars. While he exhibits significant strengths in research productivity and mentorship, there are opportunities for improvement, such as enhancing interdisciplinary collaborations and seeking external funding for research projects. In conclusion, Dr. Mishra’s scholarly contributions and potential for growth make him a deserving candidate for the Best Scholar Award, recognizing his valuable impact on the academic community and the field of mathematics.

 

Publication Top Notes
    1. Attributes of residual neural networks for modeling fractional differential equations
      • Authors: Agarwal, S., Mishra, L.N.
      • Year: 2024
      • Citations: 0
    2. A comprehensive analysis for weakly singular nonlinear functional Volterra integral equations using discretization techniques
      • Authors: Bhat, I.A., Mishra, L.N., Mishra, V.N., Abdel-Aty, M., Qasymeh, M.
      • Year: 2024
      • Citations: 2
    3. A comparative study of discretization techniques for augmented Urysohn type nonlinear functional Volterra integral equations and their convergence analysis
      • Authors: Bhat, I.A., Mishra, L.N.
      • Year: 2024
      • Citations: 6
    4. Convergence analysis of modified Szász operators associated with Hermite polynomials
      • Authors: Kumar, A., Verma, A., Rathour, L., Mishra, L.N., Mishra, V.N.
      • Year: 2024
      • Citations: 2
    5. Precision and efficiency of an interpolation approach to weakly singular integral equations
      • Authors: Bhat, I.A., Mishra, L.N., Mishra, V.N., Tunç, C., Tunç, O.
      • Year: 2024
      • Citations: 9
    6. Approximation on bivariate of Durrmeyer operators based on beta function
      • Authors: Raiz, M., Rajawat, R.S., Mishra, L.N., Mishra, V.N.
      • Year: 2024
      • Citations: 4
    7. Analysis of efficient discretization technique for nonlinear integral equations of Hammerstein type
      • Authors: Bhat, I.A., Mishra, L.N., Mishra, V.N., Tunc, C.
      • Year: 2024
      • Citations: 0
    8. Some Approximation Properties Of A Certain Summation Integral Type Operator
      • Authors: Maindola, S., Gairola, A.R., Rathour, L., Mishra, L.N.
      • Year: 2024
      • Citations: 0
    9. Tracing roots and linkages: Harnessing graph theory and social network analysis in genealogical research, based on the kin naming system
      • Authors: Joram, A., Singh, K.R., Mishra, L.N., Rathour, L., Vanav Kumar, A.
      • Year: 2024
      • Citations: 1
    10. Approximation of Periodic Functions by Wavelet Fourier Series
      • Authors: Karanjgaokar, V., Rahatgaonkar, S., Rathour, L., Mishra, L.N., Mishra, V.N.
      • Year: 2024
      • Citations: 0

Sneha Agarwal | Mathematics | Best Researcher Award

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Ms. Sneha Agarwal | Mathematics | Best Researcher Award

Ph.D, Vellore institute of technology, Vellore, India.

Sneha Agarwal, Ph.D., is a promising researcher with a robust academic background, having earned her Ph.D. from VIT University and an M.Sc. in Mathematics from Gurukul Kangri Vishwavidyalaya. She has made notable contributions to the field through her publications on residual neural networks and fractional differential equations, showcasing her expertise in advanced mathematical concepts. Proficient in Python and MATLAB, Sneha demonstrates strong technical skills that are vital for contemporary research. Her strong command of English and Hindi facilitates effective communication in diverse settings. Additionally, qualifying for the GATE exam in Mathematics further highlights her capabilities. While she has a solid foundation, expanding her research topics and engaging more in interdisciplinary collaborations could enhance her academic profile. Overall, Sneha is a strong candidate for the Best Researcher Award, with significant potential for future contributions to the field of mathematics.

Publication Profile👤

Current Position

Sneha Agarwal is currently positioned as a researcher with a Ph.D. from VIT University, Vellore, where she has demonstrated exceptional expertise in mathematics, particularly in the field of fractional differential equations and neural networks. Her research contributions include published journal articles and presentations at international conferences, showcasing her ability to tackle complex mathematical problems and collaborate effectively with other scholars. In addition to her research, Sneha possesses strong technical skills in programming languages such as Python and MATLAB, which she employs to enhance her research methodologies. With her qualifications, including GATE qualification in Mathematics, she is well-equipped for academic and research roles. Sneha’s language proficiency in English and Hindi further enables her to communicate her findings effectively in diverse academic contexts. As she continues to advance her career, her focus on innovative research and collaborative opportunities positions her as a promising contributor to the field of mathematics.

Previous Experience

Sneha Agarwal has a solid foundation in both academic and practical aspects of mathematics and research. She completed her Ph.D. at VIT University, where she focused on advanced mathematical concepts, particularly in modeling fractional differential equations using residual neural networks. During her M.Sc. at Gurukul Kangri Vishwavidyalaya, she excelled academically, achieving an impressive CGPA of 8.61. Her educational journey began with a B.Sc. in Physics, Chemistry, and Mathematics from M.J.P. Rohilkhand University, where she graduated with a commendable percentage. Alongside her studies, Sneha has gained valuable experience in academic research and teaching, demonstrating her ability to convey complex concepts effectively. Her proficiency in programming languages like Python and MATLAB, coupled with her skills in LATEX typesetting, equips her to tackle sophisticated mathematical problems. Additionally, she has been recognized for her academic excellence, notably qualifying for the GATE exam in Mathematics conducted by IIT Kanpur.

Educational Background

Sneha Agarwal has a strong educational background that underpins her research expertise in mathematics. She earned her Ph.D. from VIT University, Vellore, in 2023, where she focused on advanced topics in mathematics, demonstrating her commitment to academic excellence. Prior to her doctoral studies, she completed her Master of Science in Mathematics at Gurukul Kangri Vishwavidyalaya, Haridwar, in 2021, achieving a commendable CGPA of 8.61. This solid foundation in mathematical principles was further reinforced during her Bachelor of Science degree at M.J.P. Rohilkhand University, Bareilly, where she studied Physics, Chemistry, and Mathematics, graduating in 2019 with a percentage of 66.89. Through her educational journey, Sneha has developed a deep understanding of mathematical concepts, preparing her for rigorous research and contributions to the field. Her academic achievements reflect her dedication and capability, making her a promising researcher in mathematics.

Research Directions

Sneha Agarwal’s research directions primarily focus on the application of advanced mathematical techniques in the realm of fractional differential equations and neural networks. Her work explores the characteristics and attributes of residual neural networks, aiming to enhance their effectiveness in modeling complex mathematical phenomena. By investigating the intersection of machine learning and applied mathematics, she seeks to develop innovative solutions for real-world problems. Furthermore, Sneha is interested in expanding her research to include interdisciplinary applications, such as data science and computational mathematics, to address challenges in diverse fields like engineering and physics. She aims to collaborate with experts from different domains, which could lead to novel methodologies and applications of her findings. As she continues to build on her expertise, Sneha’s future research directions are likely to contribute significantly to both theoretical advancements and practical implementations in mathematics and related disciplines.

Professional Contributions

Sneha Agarwal, Ph.D., has made significant professional contributions in the field of mathematics, particularly through her research on residual neural networks and fractional differential equations. Her recent publications, including journal articles and conference proceedings, reflect her deep understanding of complex mathematical concepts and their practical applications. Sneha’s work demonstrates her ability to blend theoretical knowledge with computational techniques, showcasing her proficiency in programming languages such as Python and MATLAB. Additionally, she is skilled in LATEX typesetting, enabling her to present her research findings effectively. Beyond her academic achievements, Sneha has qualified for the GATE exam in Mathematics, underscoring her strong foundational knowledge. Her commitment to academic research, coupled with her teaching experience, positions her as a valuable contributor to both the academic community and the broader field of mathematics. Overall, Sneha’s contributions not only advance mathematical research but also inspire future generations of scholars in the discipline.

Conclusion

Sneha Agarwal emerges as a compelling candidate for the Best Researcher Award, showcasing a strong educational foundation with a recent Ph.D. from VIT University and notable achievements in her research. Her contributions to the field of mathematics, particularly through her work on residual neural networks and fractional differential equations, reflect her ability to tackle complex problems and engage with advanced topics. Proficiency in programming languages like Python and MATLAB, along with her skills in LATEX typesetting, further enhance her research capabilities. While her focus on specific research areas is commendable, expanding her topics of interest and increasing her participation in conferences could bolster her profile. Additionally, engaging in community outreach can demonstrate her commitment to applying research for societal benefit. Overall, Sneha’s dedication, technical expertise, and potential for impactful contributions position her as a deserving recipient of the Best Researcher Award.

Publication Top Notes
  • Attributes of residual neural networks for modeling fractional differential equations
    1. Journal: Heliyon
    2. Year: 2024
    3. DOI: 10.1016/j.heliyon.2024.e38332
    4. EID: 2-s2.0-85204805580
    5. ISSN: 2405-8440
    6. Authors: S. Agarwal and L.N. Mishra

 

 

HABIBA | Agricultural and Biological Sciences | Best Researcher Award

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Dr.HABIBA | Agricultural and Biological Sciences | Best Researcher Award

RESEACRCH SCHOLAR,UNIVERSITY OF LUCKNOW, INDIA.

Dr. Habiba Khan is a dedicated researcher in the field of zoology, specializing in cancer biology, with a focus on the effects of phytochemicals on prostate cancer. She has seven years of research experience and recently completed her Ph.D. at the University of Lucknow. Her dissertation, “Effect of promising phytochemicals on proliferation and apoptosis of androgen-sensitive and androgen-insensitive prostate cancer cell lines,” showcases her expertise in this critical area of study. Dr. Khan has a robust skill set that includes cell and tissue culture, molecular biology techniques, and biochemistry assays. She has received multiple accolades, including best oral presentation and best research paper awards in 2024. In addition to her research accomplishments, she serves as a visiting faculty member, highlighting her commitment to education and mentorship. With numerous publications in reputable journals, Dr. Khan is poised to make significant contributions to cancer research and the scientific community.

 

Publication Profile👤

Current Position

Dr. Habiba Khan is currently a visiting faculty member in the Department of Zoology at the Institute of Advanced Molecular Genetics & Infectious Diseases, University of Lucknow. With a specialization in cancer biology, she is finalizing her Ph.D. degree, focusing on the effects of phytochemicals on prostate cancer cell lines. Her extensive research experience spans over seven years, during which she has developed a diverse skill set, including proficiency in cell culture, molecular biology techniques, and in vivo studies. Dr. Khan has contributed significantly to the field through multiple publications in reputable journals and has been recognized with several awards for her presentations at conferences. Her role as a visiting faculty member demonstrates her commitment to education and mentorship, where she shares her expertise with students pursuing advanced degrees in molecular and human genetics. Dr. Khan is dedicated to advancing her research in cancer biology and making impactful contributions to the scientific community.

 

Previous Experience

Dr. Habiba Khan has accumulated over seven years of extensive research experience, primarily in the field of Zoology with a specialization in Cancer Biology. Her Ph.D. research, titled “Effect of promising phytochemicals on proliferation and apoptosis of androgen-sensitive and androgen-insensitive prostate cancer cell lines,” showcases her focus on critical health issues. In addition to her doctoral work, Dr. Khan served as a visiting faculty member in the M.Sc. Molecular & Human Genetics program at the Institute of Advanced Molecular Genetics & Infectious Diseases at the University of Lucknow. Her expertise spans various advanced techniques, including cell and tissue culture, molecular biology, biochemistry, and histological studies. Throughout her career, she has received multiple awards for her presentations and publications, highlighting her contributions to the field. Dr. Khan’s diverse skill set, coupled with her academic accomplishments, positions her as a valuable asset in both research and education within the scientific community.

 

Educational Background

Dr. Habiba Khan has a solid educational foundation in the field of zoology. She completed her Bachelor of Science (B.Sc.) in Zoology, Botany, and Chemistry from Isabella Thoburn College, Lucknow, in 2012. Building on this, she pursued a Master of Science (M.Sc.) in Zoology at the University of Lucknow, graduating in 2014. Dr. Khan is currently finalizing her Ph.D. in Zoology with a specialization in Cancer Biology, which she is expected to complete in 2024. Her doctoral research focuses on the effects of promising phytochemicals on the proliferation and apoptosis of both androgen-sensitive and androgen-insensitive prostate cancer cell lines. Throughout her academic journey, Dr. Khan has demonstrated a strong commitment to advancing her knowledge and skills, as evidenced by her successful participation in various competitive exams, including the Graduate Aptitude Test in Engineering (GATE) and the CSIR-UGC NET, which she qualified in 2017.

 

Research Directions

Dr. Habiba Khan’s research directions primarily focus on the intersection of cancer biology and phytochemistry, particularly in exploring the therapeutic potential of natural compounds against prostate cancer. Her work emphasizes the investigation of promising phytochemicals, such as 6-Gingerol, for their anti-cancerous and apoptotic properties, aimed at both androgen-sensitive and androgen-insensitive prostate cancer cell lines. Future research endeavors could expand into the molecular mechanisms underlying the efficacy of these compounds, as well as their potential synergistic effects when combined with conventional therapies. Additionally, Dr. Khan may explore the role of dietary polyphenols in cancer prevention, enhancing the understanding of their mechanisms of action. Incorporating advanced techniques like nanotechnology and molecular docking could facilitate the development of novel treatment strategies. Collaborative projects with interdisciplinary teams could also enhance her research scope, allowing for a comprehensive approach to cancer treatment and prevention, ultimately contributing to advancements in oncology and therapeutic methodologies.

 

Professional Contributions

Dr. Habiba Khan has made significant professional contributions to the field of cancer biology, particularly in the study of prostate cancer. With over seven years of research experience, her doctoral dissertation focused on the effects of phytochemicals on cancer cell proliferation and apoptosis, highlighting her commitment to exploring natural compounds for therapeutic use. Dr. Khan has authored several impactful publications in reputable journals, showcasing her findings on anti-cancer agents and molecular targets. Her work has earned her multiple awards, including recognition for the best oral presentation and research paper in 2024. In addition to her research, she has served as a visiting faculty member, imparting knowledge in molecular and human genetics to the next generation of scientists. Through her involvement in conferences and collaborations with esteemed institutions, Dr. Khan actively contributes to advancing cancer research, making her a notable figure in her field and an inspiration to aspiring researchers.

 

Conclusion

Dr. Habiba Khan stands out as an exemplary candidate for the Best Researcher Award due to her extensive background in cancer biology, particularly her focus on the effects of phytochemicals on prostate cancer cell lines. With over seven years of research experience, she has demonstrated proficiency in advanced techniques ranging from cell and tissue culture to molecular biology and biochemistry. Her impressive academic achievements, including multiple awards for her presentations and high-impact publications, reflect her commitment to excellence and innovation in her field. As a visiting faculty member, Dr. Habiba also showcases her ability to mentor and inspire the next generation of scientists. To further enhance her research profile, she could focus on expanding her publication scope, securing research funding, and increasing her outreach efforts. Overall, Dr. Khan’s remarkable contributions to science and her potential for future impact make her a deserving recipient of this prestigious award.

 

Publication Top Notes
    1. Structure based docking and biological evaluation towards exploring potential anti-cancerous and apoptotic activity of 6-Gingerol against human prostate carcinoma cells
      • Authors: Khan, H., Azad, I., Arif, Z., Kumar, S., Arshad, M.
      • Year: 2024
      • Citations: 2
    2. Synthesis, crystal structure analysis, computational modelling and evaluation of anti-cervical cancer activity of novel 1,5-dicyclooctyl thiocarbohydrazone
      • Authors: Shukla, S., Trivedi, P., Johnson, D., Banerjee, M., Bishnoi, A.
      • Year: 2024
      • Citations: 0
    3. Elucidating molecular and cellular targets and the antiprostate cancer potentials of promising phytochemicals: a review
      • Authors: Khan, H., Rais, J., Afzal, M., Arshad, M.
      • Year: 2023
      • Citations: 1
    4. The Role of Phytochemicals in Cancer Prevention: A Review with Emphasis on Baicalein, Fisetin, and Biochanin A
      • Authors: Rais, J., Khan, H., Arshad, M.
      • Year: 2023
      • Citations: 2

Smaai RADI | Environmental Science | Best Researcher Award

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Prof .Smaai RADI | Environmental Science | Best Researcher Award

Dean of the Faculty of Sciences, Faculty of Sciences Oujda, Morocco

Prof. Smaail Radi is a distinguished Moroccan academic, currently serving as the Dean of the Faculty of Sciences at Mohamed Premier University of Oujda. He holds a State Doctorate and a Ph.D. in chemistry and has published over 220 articles in top-tier international journals, earning him numerous awards, including the First Prize for Scientific Excellence at his university. Prof. Radi is also the Director of the Laboratory of Applied and Environmental Chemistry and has led various national and international research projects. He is recognized for his expertise, serving as an evaluator for institutions like the National Center for Scientific and Technical Research (CNRST) and Taibah University in Saudi Arabia. Beyond his contributions to chemistry, he has published works in Sufi studies and serves as a supervisor for numerous doctoral theses. His interdisciplinary approach and leadership make him a prominent figure in both scientific and educational communities.

 

Publication Profile👤

Current Position

Prof. Smaail Radi currently holds the position of Dean of the Faculty of Sciences at Mohamed Premier University in Oujda, Morocco, a role he has held since 2018. In addition, he is the Director of the Laboratory of Applied and Environmental Chemistry, overseeing significant research activities in the field. Prof. Radi serves as an expert for Morocco’s National Center for Scientific and Technical Research (CNRST) and chairs the Scientific Research Commission at Mohamed Premier University. His influence extends beyond his home institution as he acts as an advisor and expert evaluator for academic bodies such as Taibah University in Saudi Arabia and various international scientific journals. His academic career, which began in 1993, includes visiting professorships at prestigious institutions, including the Catholic University of Louvain in Belgium. Prof. Radi’s leadership, extensive research contributions, and expertise in chemistry have positioned him as a prominent figure in the Moroccan and international scientific communities.

 

Previous Experience

Prof. Smaail Radi has an extensive academic and administrative background spanning over three decades. He began his career as a professor at Mohamed Premier University of Oujda in 1993 and has since taken on multiple leadership roles. Currently, he serves as Dean of the Faculty of Sciences in Oujda and Director of the Laboratory of Applied and Environmental Chemistry. He has been responsible for numerous national and international scientific research projects and collaborations. His expertise is recognized beyond Morocco, having held visiting professorships at the Catholic University of Louvain in Belgium (2015-2022) and serving as an accredited expert at Taibah University in Saudi Arabia. Prof. Radi has also made significant contributions as a supervisor of theses, editor-in-chief of scientific journals, and an advisor to the chemical industry. His extensive management experience includes directing various academic councils, research commissions, and university accreditation evaluations, making him a key figure in academic and research leadership.

 

Educational Background

Prof. Smaail Radi has a robust and diverse educational background rooted in Morocco’s leading institutions. He earned his State Doctorate in Chemistry from Mohamed Premier University of Oujda in 1997, following his Doctorate from Cadi Ayyad University of Marrakech in 1993. His doctoral work laid the foundation for his extensive contributions to applied and environmental chemistry. Prior to this, Prof. Radi completed his Diploma of Advanced Studies (DEA) at Cadi Ayyad University in 1990, specializing in scientific research, after obtaining his Bachelor’s degree in 1989 from the same institution. His academic journey began with the Baccalaureate Diploma, which he achieved in 1985. This strong academic formation provided Prof. Radi with the critical skills and knowledge to pursue a career in both teaching and research, ultimately leading to his prestigious roles as a university professor, dean, and director of various scientific projects and laboratories.

 

Research Directions

Prof. Smaail Radi’s research is primarily focused on applied and environmental chemistry, with a strong emphasis on addressing contemporary challenges through scientific innovation. His work spans the development of novel materials and chemical processes aimed at environmental sustainability, such as waste treatment and pollution control. He is also deeply involved in the study of chemical interactions at the molecular level, which has implications for both industrial applications and academic research. Furthermore, Prof. Radi has explored interdisciplinary connections, including the intersection of chemistry with Sufi studies, demonstrating a unique approach to blending scientific inquiry with cultural and philosophical perspectives. His leadership in international scientific projects and his supervision of theses in collaboration with institutions like the Catholic University of Louvain highlight his commitment to advancing chemistry through collaboration and education. Prof. Radi’s research is characterized by both its practical applications in industry and its contributions to the academic understanding of complex chemical processes.

 

Professional Contributions

Prof. Smaail Radi has made significant contributions to the field of chemistry and academia, notably through his leadership as the Director of the Laboratory of Applied and Environmental Chemistry and as Dean of the Faculty of Sciences at Mohamed Premier University. He has published over 220 articles in leading Q1 international journals, cementing his reputation as a prolific researcher. His work extends beyond chemistry into interdisciplinary fields, including Sufi studies, reflecting his broad intellectual curiosity. Prof. Radi has received numerous prestigious awards, such as the First Prize for Scientific Excellence at Mohamed I University. He has served as an expert evaluator for multiple academic institutions and scientific journals, demonstrating his respected authority in scientific evaluation. In addition to his research, he has supervised numerous doctoral and master’s theses, contributing to the development of future scientists. His contributions extend internationally, with visiting professorships and collaborations across universities, further expanding his global scientific impact.

 

Conclusion

Prof. Smaail Radi is an outstanding candidate for the Best Researcher Award, with a remarkable record of over 220 international publications in top-tier scientific journals, extensive leadership in research projects, and a respected role as a professor and mentor. His contributions span both the natural sciences, particularly in chemistry, and interdisciplinary areas like Sufi studies, showcasing his diverse intellectual range. Prof. Radi’s numerous awards, such as the First Prize for Scientific Excellence, highlight the quality and impact of his work. His expertise is sought by prestigious institutions worldwide, reinforcing his standing as a leading figure in his field. While his research is highly esteemed in academic circles, expanding his public outreach and cross-disciplinary collaborations could further enhance his influence. Overall, Prof. Radi’s dedication, innovation, and leadership make him highly deserving of this prestigious recognition.

 

Publication Top Notes
    1. “Rapid and selective separation of heavy metal ions from aquatic medium using a bidentate functionalized hybrid material”
      • Authors: Oulmidi, A., Radi, S., Tighadouini, S., Rotaru, A., Garcia, Y.
      • Year: 2025
      • Citations: 0
    2. “Synthesis, structural characterizations, in vitro biological evaluation and computational investigations of pyrazole derivatives as potential antidiabetic and antioxidant agents”
      • Authors: Mortada, S., Karrouchi, K., Hamza, E.H., Masrar, A., Faouzi, M.E.A.
      • Year: 2024
      • Citations: 12
    3. “Progress in the modification of cellulose-based adsorbents for the removal of toxic heavy metal ions”
      • Authors: El Mahdaoui, A., Radi, S., Elidrissi, A., Neves, M.G.P.M.S., Moura, N.M.M.
      • Year: 2024
      • Citations: 0
    4. “Experimental and Computational Investigation of Novel Triazole-Pyrazole Derivative as a Synthetic Corrosion Inhibitor for M-Steel in 1.0M HCl”
      • Authors: Setti, N., Barrahi, A., Elyoussfi, A., Zarrouk, A., Dafali, A.
      • Year: 2024
      • Citations: 0
    5. “High Inhibition for a CoII Tetrazole Bi-pyrazole Dinuclear Complex against Fusarium Oxysporum f. sp. Albedinis”
      • Authors: Bahjou, Y., Radi, S., El Massaoudi, M., Wolff, M., Garcia, Y.
      • Year: 2024
      • Citations: 1
    6. “Synthesis, Crystal Structures, Genotoxicity, and Antifungal and Antibacterial Studies of Ni(II) and Cd(II) Pyrazole Amide Coordination Complexes”
      • Authors: El Mahdaoui, A., Radi, S., Draoui, Y., Robeyns, K., Garcia, Y.
      • Year: 2024
      • Citations: 1
    7. “Unexpected efficient one-pot synthesis, DFT calculations, and docking study of new 4-hydroxy-2H-chromen-2-one derivatives predicted to target SARS-CoV-2 spike protein”
      • Authors: Toubi, Y., Hakmaoui, Y., EL Ajlaoui, R., Lgaz, H., Hammouti, B.
      • Year: 2024
      • Citations: 3
    8. “New triazole-based coordination complexes as antitumor agents against triple negative breast cancer MDA-MB-468 cell line”
      • Authors: Draoui, Y., Radi, S., Bahjou, Y., Rotaru, A., Garcia, Y.
      • Year: 2023
      • Citations: 0
    9. “CuII Pyrazolyl-Benzimidazole Dinuclear Complexes with Remarkable Antioxidant Activity”
      • Authors: Chkirate, K., Ati, G.A., Karrouchi, K., Essassi, E.M., Garcia, Y.
      • Year: 2023
      • Citations: 2
    10. “Coordination Complexes Built from a Ditopic Triazole-Pyrazole Ligand with Antibacterial and Antifungal Performances”
      • Authors: Draoui, Y., Radi, S., El Massaoudi, M., Robeyns, K., Garcia, Y.
      • Year: 2023
      • Citations: 6

     

Syed Anwar | signal processing | Best Researcher Award

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Syed Anwar | signal processing | Best Researcher Award

Principal Investigator at Childrens National Hopsital, United States.

Syed Muhammad Anwar is a distinguished researcher in the fields of medical imaging, deep learning, and computer vision. He is currently a Principal Investigator at the Sheikh Zayed Institute for Pediatric Surgical Innovation at Children’s National Hospital in Washington, DC, and serves as an Associate Professor at George Washington University. With over two decades of academic and professional experience, Dr. Anwar has co-founded tech ventures and contributed significantly to cutting-edge research in machine learning and medical image analysis. His expertise spans across multiple countries and academic institutions, with an impressive h-index of 38 and over 6,800 citations. A prolific scholar and inventor, he has secured numerous grants and awards for his research contributions in both academia and industry, particularly in the development of healthcare technologies. His leadership roles in education, research, and industry highlight his commitment to innovation and interdisciplinary collaboration in emerging technology fields.

Profile👤

Scopus

ORCID

Education📝

Dr. Anwar’s educational background showcases an impressive academic journey through prestigious institutions. He earned his PhD in Electronic and Electrical Engineering from the University of Sheffield, UK, in 2012, where his research focused on detecting neuronal fields using MR imaging. Prior to that, he obtained a distinction in his MS in Data Communications, also from the University of Sheffield. His undergraduate education was completed at the University of Engineering and Technology (UET), Taxila, where he graduated with honors in Computer Engineering, finishing with the second-highest percentage in his class. In 2019-2020, he was awarded a prestigious Fulbright Fellowship at the University of Central Florida, focusing on deep learning for medical image analysis. His diverse and interdisciplinary academic foundation, spanning engineering and medical technology, forms the basis of his expertise in cutting-edge research areas like artificial intelligence, machine learning, and medical image computing.

Experience👨‍🏫

Dr. Anwar’s career spans a wide array of academic and industry positions. Currently, he serves as Principal Investigator at Children’s National Hospital and Associate Professor at George Washington University. He was previously an Associate Professor at the University of Engineering and Technology, Taxila, where he held numerous administrative and advisory roles. He has also worked internationally, including as a Research Fellow at the University of Surrey, UK, and a Research Associate at the University of Central Florida, USA. Dr. Anwar has extensive experience in the tech industry, having co-founded several companies, including EcoEdge AI and Sense Digital Pvt. Ltd., where he served as CTO. His industrial roles have focused on deep learning, medical imaging, and healthcare solutions. Additionally, he has mentored entrepreneurs and served as an advisor at national incubation centers, underscoring his role as a bridge between academia and industry in technology and innovation.

Research Interest🔬 

Dr. Anwar’s research interests are deeply rooted in medical image analysis, artificial intelligence, and deep learning. His work primarily focuses on utilizing deep learning models to improve medical diagnostics, especially in fields such as brain tumor segmentation, pediatric health, and cardiac health monitoring. He is particularly interested in applying machine learning techniques to enhance medical imaging technologies, exploring areas like brain-computer interfaces and wearable health technologies. His projects also delve into federated learning for medical imaging security and using AI to predict health outcomes, such as in sickle cell disease management. Throughout his career, Dr. Anwar has sought to bridge the gap between medical science and computational technology, aiming to create innovative, data-driven healthcare solutions. His interdisciplinary research has earned him international recognition, positioning him as a key figure in advancing AI-driven medical applications.

Awards and Honors🏆

Dr. Anwar has received numerous prestigious awards and honors throughout his career. He was a Fulbright Fellow at the University of Central Florida, USA, where he focused on applying deep learning to medical image analysis. He has also been awarded several research grants, including a $220,000 seed grant from IGNITE for his work in fashion retrieval using deep learning and a $1200 grant from NVIDIA for hardware development. His contributions to academia have been widely recognized, with multiple travel grants awarded by the Higher Education Commission of Pakistan for presenting his research at international conferences. Additionally, Dr. Anwar has played a leading role in student mentorship, entrepreneurship, and incubation programs, where he has been recognized as a mentor at national incubation centers and the Pak-US Alumni Network. His leadership roles and innovative research projects have earned him a reputation for academic excellence and contribution to the global research community.

Skills🛠️

Dr. Anwar possesses a robust set of technical and leadership skills. His core expertise lies in deep learning, medical image analysis, and artificial intelligence. He is proficient in applying machine learning algorithms to a variety of real-world problems, especially in healthcare technologies. His strong background in software and hardware engineering includes experience with EEG-based systems, brain-computer interfaces, and remote health monitoring. Additionally, Dr. Anwar is skilled in research design, grant writing, and project management, having secured significant funding for his projects. His entrepreneurial abilities are demonstrated through his co-founding of tech startups and his role as CTO, where he has led development teams in creating innovative AI solutions. He also excels in academic mentoring, having supervised multiple PhD students and contributed to curriculum development in machine learning and computer vision at universities.

Conclusion 🔍 

Dr. Syed Muhammad Anwar is a highly accomplished researcher whose contributions to medical image analysis, deep learning, and AI in healthcare make him a strong candidate for the Best Researcher Award. His distinguished career, which spans academia, industry, and entrepreneurial ventures, highlights his ability to blend research innovation with real-world applications. His extensive publication record, high citation count, and successful leadership in numerous research projects underscore his academic impact. Dr. Anwar’s interdisciplinary approach, combining engineering with healthcare solutions, and his ability to secure significant research funding demonstrate his excellence in research and innovation. With a deep commitment to advancing technology for medical applications, Dr. Anwar’s work continues to influence both academic research and the practical development of AI-driven healthcare systems.

Publication Top Notes

Title: BPMN extension evaluation for security requirements engineering framework
Authors: Zareen, S., Anwar, S.M.
Year: 2024
Citation Count: 1

Title: Development of a Modular Real-time Shared-control System for a Smart Wheelchair
Authors: Ramaraj, V., Paralikar, A., Lee, E.J., Anwar, S.M., Monfaredi, R.
Year: 2024
Citation Count: 0

Title: An automated framework for pediatric hip surveillance and severity assessment using radiographs
Authors: Lam, V.K., Fischer, E., Jawad, K., Cleary, K., Anwar, S.M.
Year: 2024
Citation Count: 0

Title: Quantitative Metrics for Benchmarking Medical Image Harmonization
Authors: Parida, A., Jiang, Z., Packer, R.J., Anwar, S.M., Linguraru, M.G.
Year: 2024
Citation Count: 0

Title: MR to CT Synthesis Using 3d Latent Diffusion
Authors: Tapp, A., Parida, A., Zhao, C., Anwar, S.M., Linguraru, M.G.
Year: 2024
Citation Count: 0

Title: Zero-Shot Pediatric Tuberculosis Detection in Chest X-Rays Using Self-Supervised Learning
Authors: Capellan-Martin, D., Parida, A., Gomez-Valverde, J.J., Ledesma-Carbayo, M.J., Anwar, S.M.
Year: 2024
Citation Count: 0

Title: Early prognostication of overall survival for pediatric diffuse midline gliomas using MRI radiomics and machine learning: A two-center study
Authors: Liu, X., Jiang, Z., Roth, H.R., Bornhorst, M., Linguraru, M.G.
Year: 2024
Citation Count: 0

Title: EEG-Based Emotion Recognition during Mobile Gameplay
Authors: Khan, S.H., Raheel, A., Majid, M., Anwar, S.M., Arsalan, A.
Year: 2024
Citation Count: 0

Title: CHILD FER: DOMAIN-AGNOSTIC FACIAL EXPRESSION RECOGNITION IN CHILDREN USING A SECONDARY IMAGE DIFFUSION MODEL
Authors: Lee, E., Lee, E.-J., Anwar, S.M., Yoo, S.B.
Year: 2024
Citation Count: 0

Title: Self-Supervised Learning for Seizure Classification using ECoG spectrograms
Authors: Lam, V., Oliugbo, C., Parida, A., Linguraru, M.G., Anwar, S.M.
Year: 2024
Citation Count: 0

Laxmi Rathour | Mathematics | Young Scientist Award

Posted on by ScienceFather

Laxmi Rathour | Mathematics | Young Scientist Award

Research Scholar at National Institute of Technology Mizoram, India.

Laxmi Rathour is an emerging scholar in the field of mathematics, currently serving as a researcher at the National Institute of Technology (NIT), Mizoram. With a strong academic background and a focused research agenda, her expertise lies in both pure and applied mathematics, particularly in areas such as Multi-Attribute Decision Making (MADM), Multi-Criteria Decision Making (MCDM), and Nonlinear Analysis. She is actively involved in research, contributing to journals and collaborating internationally as a reviewer for prestigious publications like Mathematical Reviews (USA) and Zentralblatt Math (Germany). As she continues to pursue her Ph.D., Rathour is deeply engaged in advancing mathematical theory and its practical applications. Her research presence is growing on platforms such as SCOPUS and ResearchGate, and she is quickly establishing herself as a dedicated and impactful researcher in her field, making significant strides in her academic and professional career.

Profile👤

Scopus

ORCID

Education📝

Laxmi Rathour holds a Master’s degree in Mathematics from the Indira Gandhi National Tribal University in Amarkantak, Madhya Pradesh, India. She pursued her postgraduate studies from July 2019 to August 2021, during which she developed her foundational knowledge and research skills in various mathematical disciplines. Currently, she is furthering her academic pursuits by working toward a Ph.D., with a focus on advanced mathematical topics such as Meta Heuristic algorithms and Fractional Calculus. Her educational background has provided her with a strong grounding in both theoretical and applied aspects of mathematics, equipping her to explore complex mathematical problems. Rathour’s academic journey reflects her dedication to research and her desire to contribute new knowledge to the field of mathematics. Her ongoing Ph.D. studies are expected to deepen her expertise and enhance her impact as a researcher.

Experience👨‍🏫

Laxmi Rathour has been affiliated with the National Institute of Technology (NIT), Mizoram, since July 2023, where she serves as a researcher in the Department of Mathematics. Her role involves conducting research in specialized areas such as Multi-Objective Transportation Problems (MOTP) and Nonlinear Analysis. Prior to joining NIT, Rathour was actively involved in research during her master’s studies at Indira Gandhi National Tribal University, where she began developing her interests in optimization and decision-making algorithms. Additionally, she has gained experience as a voluntary reviewer for international mathematical publications, enhancing her exposure to global academic standards. This role has provided her with valuable insights into current trends in mathematical research, as well as opportunities to engage with complex theoretical concepts and methodologies, which have contributed to her growth as a researcher.

Research Interest🔬 

Laxmi Rathour’s research interests lie in a variety of mathematical disciplines, primarily focusing on applied and pure mathematics. Her areas of expertise include Multi-Attribute Decision Making (MADM), Multi-Criteria Decision Making (MCDM), and Multi-Objective Transportation Problems (MOTP), which are important in the context of optimization and decision-making processes. Additionally, she explores Fractional Calculus, Nonlinear Analysis, and Meta Heuristic algorithms. Rathour’s work in Fixed Point Theory and Approximation Theory contributes to solving complex mathematical models, with applications in both academic and real-world problems. Her research is oriented toward advancing mathematical theory while also seeking practical applications in optimization and decision-making, making her contributions valuable in a wide range of industries and scientific disciplines.

Awards and Honors🏆

Though specific awards and honors are not explicitly listed, Laxmi Rathour’s academic achievements and professional engagements highlight her growing recognition in the field of mathematics. She has earned respect as a reviewer for leading mathematical journals, including Mathematical Reviews (USA) and Zentralblatt Math (Germany). These roles demonstrate her expertise and the recognition she has gained within the global mathematical community. In addition to her reviewer positions, Rathour’s research has been published in several national and international journals, further indicating her contributions to her field. As her career progresses, it is likely that she will continue to earn accolades for her research and academic achievements, solidifying her status as an accomplished mathematician.

Skills🛠️

Laxmi Rathour possesses a diverse skill set that complements her research in mathematics. Her technical expertise includes proficiency in decision-making algorithms such as MADM and MCDM, as well as optimization techniques involving Multi-Objective Transportation Problems (MOTP). Additionally, she is skilled in using Meta Heuristic algorithms and advanced mathematical methods such as Fractional Calculus and Nonlinear Analysis. These skills are crucial for tackling complex mathematical problems, particularly in the areas of optimization and decision-making. Beyond her technical capabilities, Rathour also has strong analytical and problem-solving abilities, which are essential for conducting high-level research. Her role as a reviewer further underscores her critical thinking and editorial skills, making her a well-rounded researcher with both theoretical and applied mathematical expertise.

Conclusion 🔍 

Laxmi Rathour is a promising researcher in the field of mathematics, with a particular focus on decision-making algorithms, optimization, and advanced mathematical theories. Her academic journey, which began at Indira Gandhi National Tribal University and continues with her Ph.D. studies, reflects her dedication to expanding her knowledge and contributing to the global body of mathematical research. Her current role at the National Institute of Technology, Mizoram, allows her to further her research in specialized areas while also engaging with the broader academic community through publications and peer-review activities. As she continues to develop her skills and expertise, Rathour is poised to make significant contributions to both the theoretical and applied aspects of mathematics, positioning herself as an influential figure in the field.

Publication Top Notes

A simple and efficient preprocessing step for convex hull problem
Author: Laxmi Rathour
Year: 2024
Citation: Rathour, L. (2024). A simple and efficient preprocessing step for convex hull problem. Discrete Mathematics, Algorithms and Applications. https://doi.org/10.1142/S179383092350091X

Tracing roots and linkages: Harnessing graph theory and social network analysis in genealogical research, based on the kin naming system
Author: Laxmi Rathour
Year: 2024
Citation: Rathour, L. (2024). Tracing roots and linkages: Harnessing graph theory and social network analysis in genealogical research, based on the kin naming system. Discrete Mathematics, Algorithms and Applications. https://doi.org/10.1142/S1793830924500678

On r-dynamic k-coloring of ladder graph families
Author: Laxmi Rathour
Year: 2024
Citation: Rathour, L. (2024). On r-dynamic k-coloring of ladder graph families. Discrete Mathematics, Algorithms and Applications. https://doi.org/10.1142/S1793830924500356

Duality under novel generalizations of the D-Type-I functions for multiple objective nonlinear programming problems
Author: Laxmi Rathour
Year: 2024
Citation: Rathour, L. (2024). Duality under novel generalizations of the D-Type-I functions for multiple objective nonlinear programming problems. Scientific African. https://doi.org/10.1016/j.sciaf.2024.e02067

A Time-Sequential Probabilistic Hesitant Fuzzy Approach to a 3-Dimensional Green Transportation System
Author: Laxmi Rathour
Year: 2024
Citation: Rathour, L. (2024). A Time-Sequential Probabilistic Hesitant Fuzzy Approach to a 3-Dimensional Green Transportation System. In book: Smart Green Innovations for Sustainable Development. https://doi.org/10.1007/978-3-031-56304-1_9

Generalized Rational Type Contraction and Fixed Point Theorems in Partially Ordered Metric Spaces
Author: Laxmi Rathour
Year: 2023
Citation: Rathour, L. (2023). Generalized Rational Type Contraction and Fixed Point Theorems in Partially Ordered Metric Spaces. Journal of Advances in Applied & Computational Mathematics. https://doi.org/10.15377/2409-5761.2023.10.13

Integration of Rational Functions
Author: Laxmi Rathour
Year: 2023
Citation: Rathour, L. (2023). Integration of Rational Functions. Journal of Multidisciplinary Applied Natural Science. https://doi.org/10.47352/jmans.2774-3047.186

Possible directions of increasing the efficiency of the health system through software development
Author: Laxmi Rathour
Year: 2023
Citation: Rathour, L. (2023). Possible directions of increasing the efficiency of the health system through software development. Brazilian Journal of Science. https://doi.org/10.14295/bjs.v3i1.450

A Newton-like Midpoint Method for Solving Equations in Banach Space
Author: Laxmi Rathour
Year: 2023
Citation: Rathour, L. (2023). A Newton-like Midpoint Method for Solving Equations in Banach Space. Foundations. https://doi.org/10.3390/foundations3020014

Coupled Fixed Point Theorems with Rational Type Contractive Condition via C-Class Functions and Inverse Ck-Class Functions
Author: Laxmi Rathour
Year: 2022
Citation: Rathour, L. (2022). Coupled Fixed Point Theorems with Rational Type Contractive Condition via C-Class Functions and Inverse Ck-Class Functions. Symmetry. https://doi.org/10.3390/sym14081663