Sogand Dehghan | Social Network Analysis | Best Researcher Award

Ms. Sogand Dehghan | Social Network Analysis | Best Researcher Award

University Lecturer | K. N. Toosi University of Technology | Iran

Ms. Sogand Dehghan is a dedicated Data Analyst and IT Specialist with strong expertise in data mining, machine learning, text mining, social network analysis, and software development. She specializes in collecting, cleaning, and analyzing large-scale datasets to create insightful reports and dashboards that support organizational decision-making. Her work bridges academia and industry, with contributions spanning research, teaching, and practical implementation of data-driven solutions. She is particularly passionate about analyzing social media networks to align with organizational objectives and developing innovative tools that integrate analytics with business strategies.

Professional Profile

Scopus | Orcid | Googlescholar

Education

Ms. Dehghan earned her Master’s degree in Information Technology from K. N. Toosi University of Technology, where she conducted advanced research on social media user evaluation using machine learning techniques. She also holds a Bachelor’s degree in Information Technology from Payame Noor University. Her academic training has equipped her with a strong foundation in data visualization, machine learning, text mining, and database management, supported by proficiency in multiple programming and analytical tools.

Experience

Ms. Dehghan has served in both academic and industrial roles. In academia, she has worked as a Lecturer at the National Skills University, teaching advanced programming and mentoring students in data analytics. In the industrial sector, she has held positions as Data Analyst and Software Developer at GAM Arak Industry and Kherad Sanat Arvand, where she utilized tools such as Power BI, Python, SQL Server, and SSRS to develop interactive dashboards, predictive models, and enterprise applications. Her professional background demonstrates her ability to translate research concepts into scalable industry solutions.

Research Interests

Her research interests lie in credibility assessment of social network users, big data analytics, and text mining. She focuses on integrating heterogeneous data sources, such as social media profiles and scholarly databases, to assess user trustworthiness for organizational purposes. She also investigates emerging research trends in library and information science using text mining approaches, contributing to the identification of new and impactful academic domains.

Honors

Ms. Dehghan has been recognized for her innovative contributions to machine learning-based social media analysis and her ability to apply academic research in real-world industrial projects. Her research has been published in well-regarded, peer-reviewed journals and indexed in major databases such as Scopus, reflecting the impact and relevance of her work.

Top Noted Publications

The credibility assessment of Twitter/X users based on organizational objectives by heterogeneous resources in big data life cycle – 2 citations, Scopus index, 2025

The text mining approach to investigate active areas of library and information science and discover emerging topics – 1 citation, Scopus index, 2024

The main components of evaluating the credibility of users according to organizational goals in the life cycle of big data – 1 citation, Scopus index, 2023

Main components of user credibility assessment according to organizational goals in the big data – Scopus index

Conclusion

Ms. Sogand Dehghan exemplifies a professional who seamlessly integrates academic research excellence with industry-driven solutions. Her expertise in data analytics, software development, and social network analysis positions her as a valuable contributor to both research and practical innovation. Through her work, she has advanced the understanding of social media credibility assessment, big data life cycle management, and emerging trends in information science. With her continuous pursuit of impactful research and her ability to bridge theory with application, she is poised to make further significant contributions to the fields of data science and information technology.

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

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

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

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

Professional Profile

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Education πŸŽ“

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

Professional Experience πŸ’Ό

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

Research Interests 🌍

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

Awards & Honors πŸ†

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

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

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

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

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

Top Noted Publications πŸ“š

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

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

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

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

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

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

Conclusion

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

Prof Volodymyr Mikhailets | Analysis | Best Researcher Award |

Prof. Volodymyr Mikhailets | Analysis | Best Researcher Award

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

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

Professional Profile

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Education πŸŽ“

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

Professional Experience πŸ’Ό

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

Research Interests 🌍

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

Awards & Honors πŸ†

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

Top Noted Publications πŸ“š

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

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

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

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

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

Conclusion

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

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

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

Associate Researcher, at Hainan University, China.

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

Professional Profile

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Education πŸŽ“

Dr. Zhong earned his Ph.D. in Mathematics (2018–2022) and M.S. in Mathematics (2015–2018) from Capital Normal University, under the supervision of Prof. Guoce Xin. He completed his B.S. in Mathematics at Xiangtan University (2009–2013), laying the foundation for his research in combinatorial mathematics.

Professional Experience πŸ’Ό

Currently serving as an Associate Researcher at Hainan University (2025–Present), Dr. Zhong is actively engaged in research, teaching, and mentoring. Previously, he was a Postdoctoral Researcher at Central South University (2022–2024), where he worked closely with Prof. Yue Zhou on algebraic combinatorics and combinatorial structures.

Research Interests 🌍

His research primarily revolves around algebraic combinatorics, focusing on constant term identities, combinatorial enumeration, and polyhedral combinatorics. His work provides mathematical insights into combinatorial structures, proving key conjectures and advancing theoretical frameworks in the field.

Awards & Honors πŸ†

Dr. Zhong has been recognized for his research excellence, securing prestigious grants, including the National Natural Science Foundation of China (NSFC) Youth Project and the Hunan Provincial Natural Science Foundation Youth Project (2025–2027). His growing influence is reflected in his peer-review contributions for leading mathematical journals.

Top Noted Publications πŸ“š

The Constant Term Algebra of Type A: The Structure – Advances in Mathematics, 2025.
Authors: Guoce Xin, Chen Zhang, Yue Zhou, Yueming Zhong.
DOI: 10.1016/j.aim.2025.110154

On Magic Distinct Labellings of Simple Graphs – Journal of Symbolic Computation, 2023.
Authors: Guoce Xin, Xinyu Xu, Chen Zhang, Yueming Zhong.
DOI: 10.1016/j.jsc.2023.02.005

A Combinatorial Proof of the Unimodality and Symmetry of Weak Composition Rank Sequences – Annals of Combinatorics, 2023.
Author: Yueming Zhong.
DOI: 10.1007/s00026-022-00624-0

Proving Some Conjectures on KekulΓ© Numbers for Certain Benzenoids by Using Chebyshev Polynomials – Advances in Applied Mathematics, 2023.
Authors: Guoce Xin, Yueming Zhong.
DOI: 10.1016/j.aam.2022.102479

A Combinatorial Proof of the Parity Unimodality of the (m,n)-Rational q-Catalan Polynomial for m=3 – Applied Mathematics and Computation, 2023.
Authors: Yue Zhou, Yueming Zhong.
DOI: 10.1016/j.amc.2022.127616

On Parity Unimodality of q-Catalan Polynomials – Electronic Journal of Combinatorics, 2020.
Authors: Yueming Zhong, Guoce Xin.
DOI: 10.37236/8870

Conclusion

Yueming Zhong is a strong candidate for the Best Researcher Award, especially in the field of algebraic combinatorics. His consistent high-impact publications, research funding, and academic collaborations make him a competitive nominee. However, gaining broader recognition through awards, applied research contributions, and leadership roles in academic communities could further enhance his candidacy.