Yongfeng Li | Mathematics | Best Researcher Award

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Prof. Dr. Yongfeng Li | Mathematics | Best Researcher Award

Zhengzhou University of Light Industry, China

Professor Yongfeng Li is a distinguished academic and researcher in the field of mathematics, currently serving at Zhengzhou University of Light Industry. With over two decades of teaching and research experience, she has made significant contributions in biomathematics, particularly in population ecology and infectious disease dynamics. She is a master’s supervisor, recognized as a young backbone teacher in Henan Province, and has been acknowledged as an Outstanding Postgraduate Supervisor at her institution. Her international academic exposure includes a year as a visiting scholar at York University, Canada, supported by the China Scholarship Council. Professor Li has successfully led multiple funded projects, including a major one supported by the National Natural Science Foundation of China. In addition to her research accomplishments, she is dedicated to teaching, having instructed both undergraduate and postgraduate courses in core mathematical disciplines. She has published more than 40 research papers in reputable journals and contributed to textbook development. Professor Li has actively guided students in academic competitions, earning institutional and provincial recognition. Her service as a journal reviewer underscores her standing in the academic community. Overall, Professor Li’s profile reflects a balance of research excellence, educational leadership, and international engagement.

Professional Profile

Education

Yongfeng Li pursued her academic journey in mathematics, culminating in a Ph.D. from Nanjing Normal University between 2006 and 2009. Prior to that, she earned her Master’s degree in Mathematics from Xinyang Normal University from 2003 to 2006. She also completed her Bachelor’s degree in Mathematics from the same institution between 1999 and 2003. Her educational path reflects a continuous and focused engagement in mathematical sciences, providing her with a solid foundation in both theoretical and applied aspects of the field. Each stage of her academic progression contributed to her growing interest in biomathematics and mathematical modeling. During her doctoral studies, she likely concentrated on more specialized topics in ordinary and partial differential equations, which now serve as the theoretical backbone of her current research in infectious disease dynamics and population ecology. Her educational background not only prepared her for a successful academic career but also equipped her with the tools to contribute meaningfully to applied mathematical problems. The institutions she attended are known for their rigorous programs in science and education, ensuring that she developed both deep disciplinary knowledge and the capacity for interdisciplinary research.

Professional Experience

Since 1999, Professor Yongfeng Li has been affiliated with Zhengzhou University of Light Industry, where she has built a robust academic and research career. Over the years, she has assumed various academic roles, advancing from a teaching position to becoming a full professor and a postgraduate supervisor. Her experience spans teaching undergraduate and postgraduate students, conducting independent and collaborative research, and guiding students in competitive academic environments. From July 2015 to July 2016, she broadened her global academic perspective as a visiting scholar at York University in Canada, under the sponsorship of the China Scholarship Council. This experience enriched her research methodologies and established valuable international academic networks. Throughout her career, Professor Li has been involved in developing and delivering a wide range of mathematics courses, such as Mathematical Analysis, Advanced Mathematics, and Differential Equations. Her practical experience is complemented by administrative and mentoring responsibilities, contributing to the academic governance and development of her department. In addition to her university role, she has contributed to the wider academic community as a reviewer for international journals. Her professional journey reflects dedication to both academic excellence and student development within a structured and evolving academic environment.

Research Interests

Professor Yongfeng Li’s primary research interests lie in the domain of biomathematics, with a specific focus on mathematical modeling in population ecology and infectious disease dynamics. Her work involves developing and analyzing differential equation models to understand complex biological and epidemiological systems. These models help in simulating and predicting the behavior of diseases or populations under varying conditions, contributing to public health strategies and environmental management. Her research bridges theoretical mathematics with real-world biological phenomena, offering insights into how mathematical tools can be applied to address pressing scientific and societal problems. Additionally, she explores the stability, bifurcation, and long-term behavior of nonlinear dynamic systems, particularly in delayed and impulsive differential equations. This reflects a strong foundation in both pure and applied mathematics. Professor Li’s interest in mathematical modeling has also extended into interdisciplinary projects, allowing for collaboration with professionals in biology, medicine, and environmental sciences. Her ability to contextualize mathematics in biological systems has enabled her to lead and contribute to research that is both academically rigorous and socially relevant. These interests underscore her commitment to research that informs practice and policy while advancing mathematical theory.

Research Skills

Professor Yongfeng Li possesses a diverse and comprehensive set of research skills rooted in advanced mathematical analysis, modeling, and applied mathematics. She is highly proficient in developing mathematical models for biological systems, particularly using ordinary differential equations (ODEs), delay differential equations (DDEs), and impulsive differential equations to describe population dynamics and the spread of infectious diseases. Her expertise extends to qualitative and stability analysis of nonlinear systems, bifurcation theory, and numerical simulations. These skills are crucial in assessing the robustness, equilibrium, and long-term behavior of modeled phenomena. She is also adept at using mathematical software tools such as MATLAB and Mathematica to perform simulations, verify theoretical findings, and visualize results. Her strong analytical thinking and problem-solving ability enable her to tackle complex interdisciplinary questions, often in collaboration with experts from the life sciences. As a reviewer for international journals, she demonstrates a refined skill in critical analysis and scholarly evaluation. Furthermore, her experience in curriculum development and textbook compilation reflects her ability to translate complex research into educational content. These competencies collectively enable her to conduct impactful research, contribute to academic discourse, and mentor future scholars effectively.

Awards and Honors

Professor Yongfeng Li has received numerous awards and recognitions throughout her career, highlighting her excellence in teaching, research, and mentorship. In 2023, she was honored as an Outstanding Postgraduate Supervisor by Zhengzhou University of Light Industry, acknowledging her significant role in graduate education and student development. She was also recognized as an Outstanding Instructor in the 2021 National College Students’ Mathematics Competition, reflecting her effectiveness in mentoring students for high-level academic competitions. In 2019, she won the Second Prize in the Fifth Mathematics Micro-course Teaching Design Competition in Henan Province, which demonstrates her innovative approach to teaching. Notably, she was selected as a Young Backbone Teacher by the Henan provincial education authority in 2017, a designation that identifies promising academic leaders. Earlier in her career, she contributed to a project that received the First Prize for Scientific and Technological Achievements from the Education Department of Henan Province in 2013. These accolades underline her consistent performance, leadership, and contributions to both academic scholarship and student success. They also signify her standing as a respected member of the higher education and research community in China.

Conclusion

Professor Yongfeng Li’s academic journey exemplifies dedication, excellence, and impact across teaching, research, and mentorship. With a solid foundation in mathematics and a clear focus on biomathematics, she has consistently contributed to the advancement of knowledge through publications, funded projects, and interdisciplinary applications. Her ability to lead research teams, supervise graduate students, and guide undergraduates in national competitions speaks to her well-rounded academic profile. Her career has been marked by recognition at institutional and provincial levels, reflecting both her scholarly output and her role in nurturing academic talent. International exposure as a visiting scholar has broadened her perspective, while her ongoing role as a journal reviewer ensures she remains actively engaged with current research trends. Though her profile could benefit from further international collaborations and publications in top-tier journals, her current achievements make her a strong candidate for any research-based recognition. Her work contributes not only to the theoretical foundations of mathematics but also to practical solutions in population and health sciences. Professor Yongfeng Li stands out as a committed educator and researcher whose accomplishments align well with the standards of excellence for the Best Researcher Award.

Publications Top Notes

  • Title: Dynamical analysis of a plateau pika disease model with time delay
    Journal: Advances in Continuous and Discrete Models

  • Title: Dynamics of a Filippov airborne infectious disease model with triple-threshold control strategy
    Journal: Journal of Biological Systems

 

Moirangthem Meenakumari Devi | Mathematics | Best Researcher Award

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Ms. Moirangthem Meenakumari Devi | Mathematics | Best Researcher Award

Manipur University, India 

Moirangthem Meenakumari Devi is an emerging research scholar in the field of relativity and cosmology, currently pursuing her doctoral studies at Manipur University, Imphal. With a strong academic background in Mathematics from top-tier institutions such as the University of Delhi and Miranda House, she has consistently demonstrated intellectual rigor and a passion for theoretical sciences. She is a highly motivated individual with strong organizational skills and a keen interest in exploring and investigating new ideas through scientific inquiry. Her career aspirations align with contributing meaningfully to the scientific community by solving complex problems and advancing the frontiers of knowledge in mathematical physics. In addition to her academic pursuits, she possesses strong problem-solving and critical thinking abilities, which are essential for success in high-level research. Her enthusiasm for learning and her commitment to excellence position her as a capable and dedicated scholar with the potential to make a significant impact in her domain. Though early in her research career, her academic journey and proactive mindset reflect a deep-rooted commitment to the advancement of science and a future filled with scholarly promise.

Professional Profile

Education

Moirangthem Meenakumari Devi’s academic background is grounded in a strong foundation of mathematics, cultivated through rigorous study at some of India’s most respected educational institutions. She is currently enrolled in a Ph.D. program at Manipur University, Imphal, focusing her research in the advanced field of relativity and cosmology. Prior to this, she completed her Master of Science (M.Sc.) in Mathematics from the Faculty of Mathematical Sciences, University of Delhi, from June 2019 to June 2021, graduating with a CGPA of 8.31. Her undergraduate studies were completed at Miranda House, University of Delhi, where she earned a B.Sc. (Hons) in Mathematics between June 2016 and June 2019, scoring a CGPA of 8.23. Her foundational years were spent at Xtra Edge School in Imphal, where she completed her Higher Secondary education with an impressive 85.04% from June 2014 to June 2016. This strong educational trajectory underscores her dedication to academic excellence and her preparedness to engage in deep and sustained scientific inquiry. Each stage of her education has contributed to refining her analytical capabilities and theoretical understanding, equipping her for high-level research in cosmology and mathematical physics.

Professional Experience

As a young and passionate scholar, Moirangthem Meenakumari Devi is currently engaged full-time in her Ph.D. research at Manipur University, beginning in May 2022. While she may not yet have held conventional professional roles in academia or industry, her current position as a research scholar involves extensive academic responsibility, including conducting literature reviews, performing theoretical modeling, analyzing data, and developing new insights in the field of relativity and cosmology. Her role as a doctoral researcher also includes collaborating with faculty members, participating in academic discussions, and contributing to the university’s research output. Through this experience, she has been refining critical skills such as independent research, scientific writing, time management, and academic presentation. Her pursuit of knowledge within a highly specialized domain demonstrates professional maturity and a readiness to grow into future roles within academia or research institutions. While formal job experience is limited due to her continued focus on education and research, the depth and rigor of her doctoral work reflect the professional discipline, intellectual curiosity, and commitment essential for a successful research career.

Research Interest

Moirangthem Meenakumari Devi’s core research interest lies in the realm of relativity and cosmology, areas that explore the nature of spacetime, the universe’s structure, and the fundamental forces that govern cosmic phenomena. Her current doctoral work delves into theoretical aspects of general relativity, gravitational models, and cosmological theories, aiming to address key questions in the evolution and dynamics of the universe. Her mathematical background supports the analytical complexity required for such research, including differential equations, tensor calculus, and mathematical modeling of physical systems. She is particularly drawn to the intersection of mathematics and physics, where abstract theory can yield concrete understanding of the universe’s origin, structure, and eventual fate. This focus not only contributes to fundamental science but also opens avenues for applied research in astrophysics and theoretical physics. By integrating rigorous mathematics with deep physical concepts, her research aims to expand scientific knowledge and inspire further exploration into the mysteries of the cosmos. Her growing expertise in cosmology positions her to contribute meaningfully to the academic community and to future scientific advancements in this critical area of physics.

Research Skills

Moirangthem Meenakumari Devi possesses a strong suite of research skills that are well-aligned with the demands of theoretical and mathematical physics. Her key competencies include advanced problem-solving and critical thinking, both of which are essential for formulating and testing hypotheses in complex domains like relativity and cosmology. She demonstrates proficiency in mathematical reasoning, logical deduction, and the ability to work through abstract theoretical problems with precision and patience. Her graduate and doctoral studies have equipped her with skills in analytical computation, theoretical modeling, and scientific reasoning. Additionally, she is developing her skills in academic writing, enabling her to communicate complex ideas clearly and effectively through reports, research papers, and presentations. She is also proficient in English and Hindi, which aids in academic collaboration and dissemination of knowledge across diverse platforms. Her adaptability and eagerness to learn are reflected in her interest in exploring new mathematical frameworks and methodologies. As she continues her research, she is likely to deepen her experience with scientific tools, programming for simulations, and collaborative research techniques that will enhance her academic and professional impact.

Awards and Honors

As of now, Moirangthem Meenakumari Devi’s profile does not list any specific awards or honors. However, her consistent academic excellence, demonstrated through high CGPAs in both undergraduate and postgraduate studies from institutions like Miranda House and the University of Delhi, suggests a strong performance track record. These accomplishments are often competitive and reflect distinction among peers, especially in rigorous subjects such as mathematics. Additionally, gaining admission into a Ph.D. program in a specialized and demanding field like relativity and cosmology is itself a significant academic milestone. With ongoing research and potential future publications, conference presentations, or fellowships, she is well-positioned to earn formal recognitions and awards in the coming stages of her academic career. Active participation in scholarly activities, submission to journals, and engagement in research communities will further enhance her profile for national and international honors. As she progresses, awards acknowledging young researchers or contributions to fundamental science will likely follow, adding to her credibility and standing in the academic world.

Conclusion

Moirangthem Meenakumari Devi embodies the qualities of a focused, intelligent, and driven research scholar poised for a successful academic career in theoretical physics. Her journey from an outstanding mathematics student to a Ph.D. researcher in relativity and cosmology is a testament to her dedication, intellectual curiosity, and resilience. Although at an early stage in her research career, her academic background, sharp analytical abilities, and passion for fundamental science provide a strong foundation for future contributions. With continued effort, engagement in scholarly activities, and active dissemination of her research, she is expected to emerge as a significant contributor in the field. The depth of her research interest, coupled with her evolving research skills, makes her a promising candidate for academic and research recognitions in the future. She is well-suited for opportunities that support early-career researchers and can be confidently recommended for awards, fellowships, and collaborative projects that encourage academic excellence and scientific advancement.

Publications Top Notes

  1. Parametrization of the Hubble parameter in f(R,T) theory
    Authors: Moirangthem Meenakumari Devi, Kangujam Priyokumar Singh
    Year: 2025
    Published in: International Journal of Modern Physics A
  2. Exploring the limitless potential of the hyperbolic scale factor in a spherically symmetric spacetime
    Authors: Moirangthem Meenakumari Devi, Kangujam Priyokumar Singh
    Year: 2025
    Published in: Modern Physics Letters A

Haoyan Zhang | Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Haoyan Zhang | Mathematics | Best Researcher Award

Associate Professor from Civil Aviation University of China, China

Haoyan Zhang is an accomplished researcher and academic in the field of mathematical finance and stochastic analysis. He is currently serving as an Associate Professor at the College of Science, Civil Aviation University of China. With a solid academic foundation in applied mathematics and probability theory, Dr. Zhang has demonstrated a sustained commitment to high-quality research, teaching, and academic collaboration. His work spans key topics such as option and bond pricing, stochastic volatility, optimal stopping problems, and Markov processes—areas that are critical in both theoretical and applied finance. Over the years, he has published extensively in reputable international journals and contributed significantly to advancing knowledge in mathematical modeling and financial engineering. His overseas research experience at the Université de Lausanne has further enhanced his academic profile, adding an international dimension to his work. As a main participant in an NSFC-funded project and a consistent contributor to peer-reviewed literature, Dr. Zhang has established himself as a reliable and innovative researcher. With an upward trajectory in his academic career and a growing influence in his domain, he exemplifies the qualities befitting a nominee for the Best Researcher Award.

Professional Profile

Education

Haoyan Zhang began his academic journey with a Bachelor of Science degree in Applied Mathematics from Lanzhou University, China, graduating in 2012. This foundational training laid the groundwork for his pursuit of advanced mathematical research, particularly in fields involving applied probability and quantitative analysis. He then enrolled in the Ph.D. program in Probability and Mathematical Statistics at the School of Mathematical Science, Nankai University, one of China’s top institutions in mathematical sciences. From 2012 to 2018, he honed his expertise in areas such as stochastic processes, optimal stopping theory, and mathematical modeling in finance. His doctoral studies provided him with a rigorous understanding of Markov processes and stochastic differential equations—core techniques essential for solving complex problems in finance and economics. During this time, he also gained exposure to high-level academic collaborations and laid the foundation for his future publication record. His time as a Ph.D. candidate also included an overseas research visit to the Université de Lausanne, Switzerland, further broadening his academic perspective. Dr. Zhang’s educational background is a strong testament to his analytical rigor, technical proficiency, and sustained academic curiosity, positioning him well for a distinguished research career.

Professional Experience

Dr. Haoyan Zhang has accumulated significant academic experience in higher education and research institutions. He began his professional career in 2018 as a Lecturer at the College of Science, Civil Aviation University of China. In this role, he was involved in both teaching and research, contributing to the academic development of undergraduate and graduate students while advancing his own scholarly projects. Over the next four years, he built a strong foundation in academic publishing and collaborative research, particularly in the areas of financial mathematics and stochastic processes. In 2023, he was promoted to Associate Professor, a recognition of his academic excellence and growing contributions to the field. His promotion also reflects his increasing role in research leadership and academic mentorship. Beyond his domestic engagements, Dr. Zhang broadened his professional experience through an international research visit to the Faculty of Business and Economics at the Université de Lausanne, Switzerland, in 2016. This experience allowed him to collaborate with leading scholars in actuarial science and financial engineering. His professional trajectory illustrates a steady ascent marked by dedication, research productivity, and academic responsibility, making him a valuable member of the scholarly community.

Research Interest

Dr. Haoyan Zhang’s research interests lie primarily in financial engineering and applied mathematics, with a strong emphasis on stochastic analysis and probabilistic modeling. He has developed extensive expertise in option pricing and bond pricing, focusing on the mathematical structures that govern financial markets under uncertainty. His work frequently involves the application of stochastic differential equations, Markov processes, and optimal stopping theory to problems in quantitative finance. Dr. Zhang is particularly interested in modeling and analyzing skewed and perturbed diffusion processes, such as the skew-extended CIR and sticky Brownian motion models. These models are central to understanding complex financial instruments and market behaviors, including risk assessment and asset valuation. Another key area of interest is parameter estimation and hitting time problems, which have important implications for decision-making under uncertainty. Dr. Zhang’s research bridges the gap between theory and practice, offering valuable tools for real-world financial applications. Through consistent publication in reputable journals and collaboration with fellow researchers, he continues to explore the interplay between mathematical rigor and financial innovation. His work contributes to a deeper understanding of market dynamics and enhances the analytical frameworks available to economists, risk managers, and policy makers.

Research Skills

Dr. Haoyan Zhang possesses a robust set of research skills that make him a leading figure in the domain of mathematical finance and stochastic analysis. He is proficient in modeling complex financial systems using advanced tools such as stochastic differential equations, Markov processes, and skew diffusion models. His ability to derive and solve mathematical models has enabled him to address real-world problems in bond and option pricing with analytical precision. One of his key skills lies in applying optimal stopping theory to solve practical problems such as American option pricing and decision-making under uncertainty. He is also adept at developing numerical methods and approximation techniques, such as lattice-based models and Bayesian estimation, which enhance the computational feasibility of his theoretical models. Dr. Zhang has demonstrated strong capabilities in both independent and collaborative research environments, having co-authored numerous publications with researchers across institutions. His exposure to international academic settings, particularly during his visit to the Université de Lausanne, equipped him with interdisciplinary insights and research methodologies. With a solid command of mathematical programming tools and statistical analysis, Dr. Zhang continues to deliver high-impact research that merges mathematical theory with financial application.

Awards and Honors

While Dr. Haoyan Zhang has not listed individual honors or awards in the provided information, his academic accomplishments speak to a career marked by recognition and achievement. He has successfully progressed from Lecturer to Associate Professor at the Civil Aviation University of China, an advancement that reflects institutional recognition of his scholarly contributions. Furthermore, he was selected as a main participant in a project funded by the National Natural Science Foundation of China (NSFC), under Grant No. 11571190, from January 2016 to December 2019. Participation in a nationally competitive grant signifies a high level of peer recognition and trust in his research capabilities. Additionally, his selection as a visiting scholar at the Faculty of Business and Economics, Université de Lausanne, Switzerland, further underscores his growing international profile and academic merit. His continuous output in reputable journals and contributions to collaborative research projects further bolster his standing within the academic community. These milestones collectively represent a body of recognition that, while not individually titled, qualifies him as a high-achieving academic deserving of broader accolades such as the Best Researcher Award.

Conclusion

In conclusion, Dr. Haoyan Zhang presents a compelling case for the Best Researcher Award in recognition of his scholarly accomplishments, depth of expertise, and dedication to academic advancement. With a well-defined research focus in financial mathematics and stochastic modeling, he has consistently contributed to solving complex problems in areas such as option pricing, bond pricing, and optimal stopping. His academic journey—from his undergraduate training at Lanzhou University to his doctoral research at Nankai University and international engagement in Switzerland—demonstrates a sustained commitment to excellence. Professionally, his steady progression from Lecturer to Associate Professor, along with participation in national research grants and publication in peer-reviewed journals, reflects his credibility as a thought leader in his field. Dr. Zhang’s work not only advances theoretical understanding but also offers practical solutions to real-world financial challenges. Though opportunities remain to further his role as a principal investigator and to enhance his mentorship record, his trajectory clearly indicates a rising academic with impactful research potential. He stands out as a worthy candidate whose research achievements and academic profile merit formal recognition through this prestigious award.

Publications Top Notes

  1. Title: A Novel Idea to Solve Optimal Stopping Problem With Finite Time Horizon and Its Application in American Put
    Authors: Haoyan Zhang, Lingyun Gao
    Year: 2025

  2. Title: Bond Pricing under CIR Process with Threshold Setting
    Authors: Zhang H., Tang L., Wang F., Du Y.
    Year: 2024

  3. Title: Hitting Times for Sticky Skew CIR Process
    Authors: Zhang H., Tian Y.
    Year: 2024

  4. Title: First Hitting Time and Option Pricing Problem under Geometric Brownian Motion with Singular Volatility
    Authors: Zhang H., Zhou Y., Li X., Wu Y.
    Year: 2023

  5. Title: Perturbed Skew Diffusion Processes
    Authors: Tian Y., Zhang H.
    Year: 2023

  6. Title: Bayesian Estimation of the Skew Ornstein-Uhlenbeck Process
    Authors: Bai Y., Wang Y., Zhang H., Zhuo X.
    Year: 2022

  7. Title: Hitting Time Problems of Sticky Brownian Motion and Their Applications in Optimal Stopping and Bond Pricing
    Authors: Zhang H., Tian Y.
    Year: 2022

  8. Title: On Some Properties of Sticky Brownian Motion
    Authors: Zhang H., Jiang P.
    Year: 2021

  9. Title: Pricing Perpetual American Swaption
    Authors: Zhang H., Tian Y.
    Year: 2021

  10. Title: European Option Pricing under Stochastic Volatility Jump-Diffusion Models with Transaction Cost
    Authors: Tian Y., Zhang H.
    Year: 2020

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

 

Nitiraj V. Kulkarni | Mathematics | Young Scientist Award

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Mr. Nitiraj Kulkarni | Mathematics | Young Scientist Award

Student Researcher at Vishwakarma University, Pune, India

Nitiraj V. Kulkarni is an aspiring researcher currently pursuing a Bachelor of Technology (B.Tech.) in Artificial Intelligence and Data Science at Vishwakarma University, Pune. His academic and research contributions span across multiple disciplines, including Computational Fluid Mechanics, Artificial Neural Networks (ANN), and Data Science. He has co-authored the Handbook for Basics of Artificial Intelligence and has published 10 research papers in reputed journals indexed in SCI and Scopus. Nitiraj has also made a significant impact by publishing over 12,000 datasets on various platforms, contributing valuable resources to the research community. Beyond academia, he has applied his technical skills to cybersecurity, receiving a letter of appreciation from the Director General of MSRTC for identifying a critical system vulnerability. Additionally, he has authored 8 books and has a patent under review, showcasing his dedication to knowledge dissemination and innovation. With his multidisciplinary approach, Nitiraj is making remarkable strides in integrating AI with engineering applications.

Professional Profile

Education

Nitiraj V. Kulkarni is pursuing his Bachelor of Technology (B.Tech.) in Artificial Intelligence and Data Science at Vishwakarma University, Pune. His academic background is centered around Machine Learning, Neural Networks, Computational Mathematics, and Data Science, providing a strong theoretical foundation in AI and its real-world applications. He has actively engaged in research-driven learning, with a focus on Artificial Neural Networks (ANN) in Fluid Mechanics. His education extends beyond formal coursework, as he has participated in research projects, self-learning, and collaborative work with leading scientists like Dr. Jagadish V. Tawade. Through these experiences, he has gained proficiency in computational modeling, numerical simulations, and AI-driven predictive analytics. His commitment to education is evident in his scientific publications and books, which contribute to knowledge dissemination in AI and engineering. Nitiraj’s strong academic foundation, combined with practical research exposure, positions him as a promising young scientist with significant contributions to AI and computational sciences.

Professional Experience

Despite being an undergraduate student, Nitiraj V. Kulkarni has built an impressive professional profile through active research, collaborations, and industry engagement. His most notable achievement includes receiving a letter of appreciation from the Director General of MSRTC (Government of Maharashtra) for identifying a critical system vulnerability, showcasing his expertise in cybersecurity and system analysis. He has also worked on an advanced research project involving Artificial Neural Networks (ANN) for Unsteady Boundary Layer Flow and Heat Transfer, demonstrating his ability to integrate AI with engineering and physics. In addition, Nitiraj has published 10 research papers in SCI and Scopus-indexed journals, authored 8 books, and has a patent under review, highlighting his contributions to innovation and knowledge dissemination. He has also actively collaborated with senior researchers like Dr. Jagadish V. Tawade, further strengthening his research capabilities. His multidisciplinary expertise reflects his commitment to bridging AI with computational mechanics and industry applications.

Research Interests

Nitiraj V. Kulkarni’s research interests are deeply rooted in the fields of Artificial Intelligence, Computational Fluid Mechanics, and Data Science. His primary focus lies in applying Artificial Neural Networks (ANN) to Fluid Mechanics for solving complex engineering problems, including boundary layer flow, heat transfer analysis, and thermoelectric energy harvesting. Additionally, he is interested in Machine Learning and Data Science, where he develops AI-driven predictive models and analyzes large-scale datasets to extract meaningful insights. His research extends into cybersecurity, where he explores system vulnerabilities and AI-based security solutions, as demonstrated by his work with MSRTC. Nitiraj is also engaged in nanofluid heat transfer studies, contributing to advancements in thermal energy management. His diverse research interests highlight his multidisciplinary approach, allowing him to tackle complex engineering challenges using AI and computational techniques. His work is aimed at developing innovative, data-driven solutions for real-world applications in engineering and technology.

Research Skills

Nitiraj V. Kulkarni possesses a diverse and advanced set of research skills, making him a valuable contributor to multiple scientific disciplines. His expertise in Artificial Neural Networks (ANN) allows him to develop AI-driven models for fluid mechanics and thermal engineering. He is highly proficient in Computational Fluid Dynamics (CFD), numerical modeling, and predictive analytics, which he applies in solving complex engineering problems. His data analysis and machine learning skills enable him to handle large-scale datasets and optimize predictive models for various applications. Additionally, his scientific writing and publishing experience is evident from his 10+ research papers and 8 books, contributing significantly to AI and computational sciences. Nitiraj also has strong skills in cybersecurity and vulnerability assessment, as demonstrated by his MSRTC recognition. His combination of theoretical knowledge, computational proficiency, and real-world application skills makes him a promising young scientist in AI and engineering research.

Awards and Honors

Nitiraj V. Kulkarni has received multiple recognitions for his contributions to AI, computational research, and cybersecurity. One of his most significant honors is the letter of appreciation from the Director General of MSRTC (Government of Maharashtra) for identifying a critical system vulnerability, highlighting his cybersecurity expertise. He has also published 10+ research papers in prestigious SCI and Scopus-indexed journals, demonstrating his strong academic research impact. His contributions to education and knowledge dissemination are reflected in his 8 books on AI, computational techniques, and scientific research. Additionally, he has published over 12,000 datasets, significantly aiding the research community in data-driven studies. Nitiraj has also collaborated with renowned scientists like Dr. Jagadish V. Tawade and has a patent under review, showcasing his innovation potential. His recognitions reflect his dedication to AI, cybersecurity, computational mechanics, and scientific research, positioning him as a strong candidate for the Young Scientist Award.

Conclusion

Nitiraj V. Kulkarni is an exceptional young researcher with a strong foundation in Artificial Intelligence, Data Science, and Computational Fluid Mechanics. His contributions to scientific research, cybersecurity, and AI-driven engineering solutions set him apart as an emerging leader in these fields. Through 10+ research papers, 8 books, a patent application, and over 12,000 datasets, he has demonstrated an impressive commitment to knowledge dissemination and innovation. His research has practical applications, as seen in his MSRTC cybersecurity recognition, proving his ability to solve real-world technological challenges. Nitiraj’s ability to integrate AI with computational mechanics, cybersecurity, and industry applications showcases his multidisciplinary expertise. With continued research, global collaborations, and industry engagement, he has the potential to make groundbreaking contributions to AI, fluid mechanics, and engineering applications. His achievements and dedication to innovation make him a deserving candidate for the Young Scientist Award, and a future leader in scientific research.

Publications Top Notes

  1. Effect of Williamson Nanofluid Across an Exponentially Stretched Sheet with Chemical Reaction Under the Influence of Joules Heating
    S. Swami, S. Biradar, J.V. Tawade, N.V. Kulkarni, F. Yuldashev, M. Gupta, …
    2025

  2. Thermo-fluid dynamics of non-Newtonian Casson fluid in expanding-contracting channels with Joule heating and variable thermal properties
    S. Rafiq, B.A. Bilal, A. Afzal, J.V. Tawade, N.V. Kulkarni, B. Abdullaeva, …
    2025

  3. Numerical solutions for unsteady laminar boundary layer flow and heat transfer over a horizontal sheet with radiation and nonuniform heat source/sink
    M. Diwate, J.V. Tawade, P.G. Janthe, M. Garayev, M. El-Meligy, N. Kulkarni, …
    2024

  4. Heat transfer mechanism for Newtonian and non-Newtonian Casson hybrid nanofluid subject to thermophoresis and Brownian motion over a movable wedge surface
    S. Swami, S. Biradar, M.Q. Gubari, S.P. Samrat, J.V. Tawade, N. Kulkarni, …
    2025

  5. Thermoelectric energy harvesting from geothermal micro-seepage
    N. Kulkarni, M. Al-Dossari, J. Tawade, A. Alqahtani, M.I. Khan, B. Abdullaeva, …
    2024

  6. Soret and nonuniform heat source/sink effects in micropolar nanofluid flow over an inclined stretching sheet
    M. Diwate, P.G. Janthe, N. Kulkarni, S. Sunitha, J.V. Tawade, N. Nazarova, …
    2025

  7. Optimizing nanoparticle dispersion and heat transfer in Williamson nanofluids under magnetic influence
    S. Swami, S. Biradar, J.V. Tawade, N.V. Kulkarni, B.S. Abdullaeva, D.M. Khidhir, …
    2025

  8. Optimizing Ibrutinib bioavailability: Formulation and assessment of hydroxypropyl-β-cyclodextrin-based nanosponge delivery systems
    S. Sampathi, N. Kulkarni, D. Bhikshapathi, J.V. Tawade, N. Tarakaramu, …
    2025

  9. Thermal and solutal performance analysis featuring fully developed chemically reacting micro-rotational convective flow in an open-ended vertical channel
    G.T. Gitte, S. Kalyan, H. Saraswathi, V. Kulkarni, M. Jameel, J.V. Tawade, …
    2025

  10. Effects of exponentially stretching sheet for MHD Williamson nanofluid with chemical reaction and thermal radiative
    S.P. Pallavi, M.B. Veena, J.V. Tawade, N. Kulkarni, S.U. Khan, M. Waqas, …
    2024

Gayrat Urazboev | Mathematics | Best Scholar Award

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Prof. Gayrat Urazboev | Mathematics | Best Scholar Award

Professor at Urgench State University, Uzbekistan

Gayrat Urazboev is a distinguished mathematician specializing in nonlinear evolution equations, soliton theory, and integrability. With a Doctor of Science in Mathematics, he has made significant contributions to mathematical physics, particularly in inverse scattering methods and direct analytical approaches. He currently serves as the Vice Rector for International Relations and Professor at Urgench State University in Uzbekistan. Throughout his career, he has held research positions at prestigious institutions in Germany, Spain, and Italy. His extensive academic collaborations, leadership roles, and involvement in international research projects have established him as a key figure in the field. He has organized several international conferences and contributed to academic community building through his role as an editor and reviewer for mathematical journals. His dedication to education and research is reflected in his involvement with ERASMUS+, TEMPUS, and other global academic initiatives. Recognized with multiple research fellowships and grants, he has played a crucial role in advancing mathematical sciences in Uzbekistan. His expertise in differential equations and mathematical physics, coupled with his strong leadership and mentorship, make him an influential scholar in the global academic community.

Professional Profile

Education

Gayrat Urazboev earned his Diploma (equivalent to an M.S.) in Mathematics and Applied Mathematics from Moscow State University, Russia, in 1992. His master’s thesis focused on optimal control of singular distributed systems, laying the foundation for his future research in nonlinear mathematical physics. He pursued a Ph.D. at the Romanovskiy Mathematical Institute, Academy of Sciences of Uzbekistan, where he defended his dissertation in 2001 on the integration of the Korteweg-de Vries equation with self-consistent sources. This research played a crucial role in understanding nonlinear wave equations. In 2007, he completed his Doctor of Science (Doctor Habilitatus) at the National University of Uzbekistan, where he further advanced his studies on nonlinear evolution equations with self-consistent sources. His doctoral research significantly contributed to the field of soliton theory and integrable systems. His academic journey across prestigious institutions has equipped him with profound expertise in mathematical modeling, differential equations, and applied mathematics. Through continuous professional development, he has remained at the forefront of mathematical research and has played an instrumental role in promoting mathematical education and research excellence in Uzbekistan and beyond.

Professional Experience

Dr. Gayrat Urazboev has an extensive academic and research career spanning over three decades. He is currently the Vice Rector for International Relations and a Professor in the Department of Physics and Mathematics at Urgench State University, a position he has held since 2019. Previously, he served as a full professor at the same institution from 2011 to 2018. His international research experience includes roles as a Scientific Researcher at the University of Duisburg-Essen, Germany, in 2011, and as a Postdoctoral Researcher at the University of Santiago de Compostela, Spain, in 2009. Additionally, he served as Vice-Rector and Head of the Department of Mathematical Physics and Applied Mathematics at Urgench State University. His professional contributions extend beyond academia, as he has been involved in multiple international research collaborations and projects, including Erasmus+ and TEMPUS. As a key figure in higher education, he has played a crucial role in curriculum development, faculty training, and research capacity building in Uzbekistan. His expertise in nonlinear mathematical physics, coupled with his leadership in academic administration, has significantly influenced mathematical research and education at both national and international levels.

Research Interests

Dr. Gayrat Urazboev’s research interests lie in the fields of nonlinear evolution equations, inverse scattering methods, soliton theory, and integrability. His work focuses on the development of direct and inverse methods for solving complex partial differential equations with self-consistent sources. He has made significant contributions to the mathematical analysis of solitons, particularly in the study of nonlinear wave phenomena and their applications in physics. His research explores the integration of nonlinear evolution equations, which are fundamental in mathematical physics and engineering. His expertise extends to spectral theory and its applications to differential operators, helping advance the theoretical understanding of wave propagation, fluid dynamics, and quantum mechanics. As a researcher dedicated to mathematical physics, he continuously explores innovative techniques for analyzing and solving nonclassical partial differential equations. His work has been instrumental in advancing the study of integrable systems and has contributed to the development of mathematical tools for tackling real-world problems in science and engineering. Through collaborations with international scholars and participation in global research initiatives, he has expanded the scope of his research, making a lasting impact on the mathematical community.

Research Skills

Dr. Urazboev possesses a strong set of research skills that make him a leading expert in mathematical physics and applied mathematics. His expertise includes analytical and numerical methods for solving nonlinear differential equations, with a focus on integrability and soliton theory. He is proficient in advanced mathematical modeling techniques used in the study of wave dynamics and inverse scattering methods. His computational skills include proficiency in MATLAB, Mathematica, Maple, and LaTeX, which he utilizes for complex mathematical simulations and research documentation. He has extensive experience in academic writing, peer reviewing, and editing mathematical publications, serving as a reviewer for Mathematical Reviews and an editor for the Open Journal of Mathematical Sciences. His ability to design and implement interdisciplinary research projects is evident through his involvement in international collaborations such as Erasmus+ and TEMPUS. Additionally, his strong problem-solving skills, combined with his ability to mentor and guide research students, have contributed to the development of new mathematical theories and applications. His research skills, combined with his leadership in academia, continue to shape the future of mathematical sciences.

Awards and Honors

Dr. Urazboev has been the recipient of numerous prestigious awards and research fellowships, recognizing his contributions to mathematical sciences. In 2020, he was awarded the Weiser Professional Development Fellowship by the University of Michigan, USA, acknowledging his leadership in research and academic development. His international research achievements have been supported by multiple DAAD research scholarships in Germany (2011, 2016) and Erasmus Mundus academic staff mobility scholarships from European institutions such as the University of Graz, Austria, and the University of Santiago de Compostela, Spain. He was also awarded the National Scholarship Programme of the Slovak Republic in 2015. His excellence in research was recognized by the Ministry of Higher and Secondary Special Education of Uzbekistan, which named him Young Doctor of Science in 2007. Additionally, he received the prestigious Istedod Foundation Award from the President of Uzbekistan in 2006. These accolades highlight his global recognition and contributions to the advancement of mathematical research. His numerous research grants and fellowships reflect his dedication to fostering academic excellence and international collaboration in the field of mathematics.

Conclusion

Dr. Gayrat Urazboev is a highly accomplished mathematician with a distinguished career in nonlinear evolution equations, soliton theory, and integrability. His extensive research experience, combined with his leadership roles in academia, has made a significant impact on mathematical sciences. His international collaborations, numerous research grants, and contributions to mathematical education highlight his commitment to advancing the field. His proficiency in mathematical modeling, analytical techniques, and computational tools underscores his technical expertise. While his research output is impressive, further expanding his publication record in high-impact journals and enhancing his English proficiency would strengthen his global influence. His dedication to mentoring young researchers, organizing conferences, and participating in international research programs demonstrates his commitment to academic development. Recognized with prestigious awards and fellowships, he has played a pivotal role in promoting mathematical research and education both in Uzbekistan and internationally. As a researcher and academic leader, he continues to contribute to the field of mathematical physics, making him a strong candidate for research excellence awards and further academic recognition.

Publication Top Notes

  1. Title: “Analysis of the Solitary Wave Solutions of the Negative Order Modified Korteweg–de Vries Equation with a Self-Consistent Source”

    • Authors: G.U. Urazboev, I.I. Baltaeva, Shoira E. Atanazarova
    • Year: 2025

  2. Title: “Integration of the Negative Order Nonlinear Schrödinger Equation in the Class of Periodic Functions”

    • Authors: G.U. Urazboev, Muzaffar M. Khasanov, Aygul K. Babadjanova
    • Year: 2024

  3. Title: “Integration of Negative-Order Modified Korteweg–de Vries Equation with an Integral Source”

    • Authors: G.U. Urazboev, Muzaffar M. Khasanov, O.B. Ismoilov
    • Year: 2024

 

 

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

Published on by Shen Awards

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