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

Mohammed Dawed | Mathematics | Life Sciences Innovation Award

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Dr. Mohammed Dawed | Mathematics | Life Sciences Innovation Award

Associate Professor from Hawassa University, Ethiopia

Dr. Mohammed Yiha Dawed is an Associate Professor of Applied Mathematics at Hawassa University, Ethiopia, with extensive academic and research experience spanning over three decades. His primary specialization lies in mathematical modeling, with significant contributions in the areas of mathematical ecology, epidemiology, and eco-epidemiology. Dr. Dawed began his career as a high school mathematics teacher before transitioning into academia, where he steadily advanced from a lecturer to an associate professor. With a strong foundation in applied mathematics, he has authored over 19 published articles in reputable journals, participated in numerous national and international conferences, and mentored more than 34 MSc and several PhD students. His scholarly work focuses on real-world problems modeled through differential equations, bifurcation theory, and optimal control analysis. He is also engaged in collaborative projects, invited lectures, and serves as a reviewer for various academic journals. Furthermore, Dr. Dawed is recognized for his leadership, having served as the Head of the Mathematics Department at Hawassa University and contributing to curriculum design and educational development in Ethiopia. His interdisciplinary approach to mathematical modeling underlines his relevance in addressing contemporary issues in public health, ecology, and socio-economic dynamics.

Professional Profile

Education

Dr. Mohammed Yiha Dawed has pursued a well-rounded academic trajectory in mathematics and applied sciences. He earned his Ph.D. in Applied Mathematics from Hawassa University, Ethiopia, in 2017, where his research emphasized mathematical modeling in the context of ecology and epidemiology. Before this, he completed his M.Sc. in Mathematics with a concentration in differential equations from Addis Ababa University in 2005. His foundational degree, a B.Sc. in Mathematics, was also obtained from Addis Ababa University in 1990. Additionally, he received advanced research training in mathematical modeling, numerical analysis, and partial differential equations at the Norwegian University of Science and Technology (NTNU) in Norway during the 2008–2009 academic year, which resulted in an international publication on the Michaelis-Menten equations. Dr. Dawed holds a Higher Diploma License (HDP) awarded in 2013, certifying him as a professional educator. To stay current with pedagogical trends, he has undertaken courses such as the “Master Class for Teaching Online” via Open edX. His academic background showcases a consistent commitment to blending rigorous theoretical training with hands-on modeling and research experience, qualifying him as a versatile and innovative scholar in the applied mathematics discipline.

Professional Experience

Dr. Mohammed Yiha Dawed’s professional journey spans more than 30 years, starting as a mathematics teacher in Ethiopian high schools from 1992 to 2003. In 2005, he joined Hawassa University as a Lecturer in the Department of Mathematics, where he played an instrumental role in both teaching and research. He was later promoted to Associate Professor in 2022, specializing in Applied Mathematics with a focus on Mathematical Ecology, Epidemiology, and Eco-Epidemiology. In addition to his academic teaching roles, Dr. Dawed held administrative responsibilities, serving as the Head of the Mathematics Department at Hawassa University between 2018 and 2022. His contributions include curriculum development, course module design, and editorial work for national mathematics education material. Dr. Dawed has also been involved in multiple invited teaching roles across Ethiopian universities, delivering Ph.D.-level lectures on Mathematical Modeling, Epidemiology, and Simulation. His collaborative academic appointments span institutions such as Adama Science and Technology University, Debre Berhan University, and Bule Hora University. His career reflects a balanced engagement in teaching, research, and academic leadership, making him a central figure in Ethiopia’s higher education mathematics landscape.

Research Interests

Dr. Dawed’s research interests are anchored in the application of mathematical theories to ecological and public health issues. His primary focus areas include Mathematical Ecology, Mathematical Epidemiology, and Mathematical Eco-Epidemiology. He utilizes differential equations and dynamical systems to model interactions between species, disease transmission dynamics, and optimal control mechanisms in environmental and epidemiological settings. His work also extends to the analysis of chemical reactions, media impact on public health outcomes, and socio-economic factors such as poverty and crime through the lens of mathematical modeling. The mathematical frameworks he applies include bifurcation theory, stability analysis, time delays, and functional response functions. His models often incorporate real-world complexities, such as temperature variability and drug resistance in diseases like tuberculosis and hepatitis B. Through these studies, he seeks to provide quantitative insights that can inform public health policy, ecological management, and sustainable development. His multidisciplinary approach allows him to collaborate with researchers from biology, environmental science, and public health, reinforcing the practical relevance of mathematical tools in addressing global challenges. These interests form the basis of his academic contributions and ongoing mentorship of postgraduate research students.

Research Skills

Dr. Mohammed Yiha Dawed possesses a broad and deep set of research skills that enable him to address complex real-world problems using mathematical techniques. His primary expertise lies in developing, analyzing, and simulating mathematical models based on differential equations. He is proficient in qualitative and quantitative modeling techniques, bifurcation analysis, optimal control theory, and stability analysis. His research frequently employs advanced mathematical tools such as general Holling type functional responses, time delays, and temperature-variant parameters to simulate biological and epidemiological systems. Dr. Dawed is adept with scientific computing tools including MATLAB, Mathematica, Maple, and LaTeX, which he uses extensively for simulations, visualizations, and documentation of mathematical models. Additionally, his experience in teaching, supervising, and publishing in peer-reviewed journals further reflects his strong analytical, writing, and mentoring capabilities. He also engages in peer-review activities for scientific conferences and journals, demonstrating his ability to evaluate complex mathematical manuscripts. His research skills are continually enhanced through participation in international workshops, collaborative teaching, and interdisciplinary seminars, reflecting his commitment to academic rigor and innovation in mathematical sciences.

Awards and Honors

While specific awards are not detailed in the available profile, Dr. Mohammed Yiha Dawed has earned notable academic and professional recognition through his appointments, publications, and teaching roles. Achieving the rank of Associate Professor and being consistently invited to lecture in Ph.D. programs at multiple Ethiopian universities highlight the academic community’s regard for his expertise. His role as Head of Department at Hawassa University and responsibilities in national curriculum development also underscore his leadership and educational impact. Participation in international research training at NTNU in Norway and co-authorship with international scholars such as Harald E. Krogstad further signify his integration into the global research community. He has been trusted to supervise over 34 MSc theses and is currently guiding multiple Ph.D. dissertations, showcasing institutional trust in his mentorship. His selection as a peer reviewer for several journals and conferences indicates recognition of his judgment and scholarly standards. While he may not have received named awards, his career accomplishments and professional trust serve as substantial honors within the academic domain.

Conclusion

Dr. Mohammed Yiha Dawed stands as a compelling candidate for the Life Sciences Innovation Award due to his impactful contributions in mathematical modeling applied to ecological and epidemiological problems. His strong academic background, extensive teaching and research experience, and interdisciplinary approach demonstrate the relevance of his work to life sciences innovation. With over 19 published papers, multiple Ph.D. courses taught across universities, and a consistent role in mentoring graduate students, Dr. Dawed has proven his capability to influence the scientific community meaningfully. His models provide insights into disease dynamics, environmental interactions, and socio-economic patterns, supporting real-world policy development. However, areas for improvement include seeking more international collaborations and enhancing visibility through recognized global awards or fellowships. Expanding the reach of his applied models into experimental collaborations or policy advisory roles could further amplify his impact. Overall, his scholarly record, teaching legacy, and applied research approach make him a strong contender for the Life Sciences Innovation Award, particularly in fields intersecting mathematical modeling, public health, and environmental sciences.

Publications Top Notes

  • Title: Mathematical model analysis of malaria transmission dynamics with induced complications

  • Authors: Mohammed Yiha Dawed (M.Y. Dawed), Legesse Lemecha Obsu (L.L. Obsu)

  • Year: 2025

Nuru Ahmed Endrie | Mathematics | Best Researcher Award

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Mr. Nuru Ahmed Endrie | Mathematics | Best Researcher Award

Numerical Methods from Arba Minch University

Mr. Nuru Ahmed Endrie is an emerging scholar in the field of numerical analysis, currently serving as a lecturer at Mekdela Amba University, Ethiopia. Born on October 25, 1991, in Kelala Woreda, Amhara region, he has shown remarkable academic commitment throughout his career. Mr. Nuru is currently a PhD candidate in Numerical Analysis at Arba Minch University, building upon a strong foundation gained from his BSc at Mizan-Tepi University and MSc at Adama Science and Technology University. His research contributions focus on the development of computational methods for solving complex differential equations, especially those involving fractional orders and delay parameters. Mr. Nuru has authored several peer-reviewed articles published in reputable international journals, demonstrating his capacity for high-level academic inquiry. Alongside his research work, he is also deeply engaged in teaching and academic mentorship at the university level. Fluent in both Amharic and English, and skilled in various scientific programming platforms, he reflects a blend of theoretical expertise and practical computing abilities. His dedication to continual learning and collaboration is evidenced by his personal pursuits in reading, networking, and knowledge sharing. Mr. Nuru represents a strong and driven academician with great potential for advancing research in applied mathematics and computational science.

Professional Profile

Education

Mr. Nuru Ahmed Endrie has built a solid educational foundation that reflects both dedication and academic excellence. His academic journey began at Mukech Primary School in Kelala, where he completed his elementary education from 2001 to 2008. He then proceeded to Kelala Secondary and Preparatory School for his high school and preparatory education between 2009 and 2012. Demonstrating strong academic performance, Mr. Nuru gained admission to Mizan-Tepi University, where he earned his Bachelor of Science degree in 2015. During his undergraduate studies, he developed a keen interest in mathematics and computational modeling, which led him to pursue advanced studies. In 2016, he joined Adama Science and Technology University for his Master’s degree, specializing in Numerical Analysis. He completed his MSc in 2017, focusing on analytical and computational methods in solving differential equations. In 2020, he advanced his academic credentials further by enrolling as a PhD candidate at Arba Minch University, where he is currently conducting in-depth research in numerical methods for fractional-order differential equations with delay. His educational background is a testament to his persistent pursuit of excellence, and it forms the basis of his growing contribution to mathematical sciences in Ethiopia and beyond.

Professional Experience

Mr. Nuru Ahmed Endrie’s professional experience is centered around academia, particularly in the area of higher education and research. Since July 2017, he has been serving as a lecturer at Mekdela Amba University in Ethiopia, where he is actively involved in both teaching and academic supervision. His teaching responsibilities include undergraduate courses in applied mathematics and computational methods, with a focus on fostering critical thinking and problem-solving skills among students. As a lecturer, Mr. Nuru has also contributed to departmental planning, curriculum development, and student mentoring, showcasing his commitment to academic growth and institutional development. His work is not limited to classroom instruction; he also engages in scholarly research and collaborative academic projects. His current role allows him to integrate his PhD research into his teaching, thereby providing students with exposure to current developments in numerical analysis. Mr. Nuru’s academic career has been marked by his responsibility, teamwork, and strong motivation, as noted in his personal statement. His professional journey reflects a consistent trajectory of growth and academic maturity, positioning him as a valuable member of his institution and a promising contributor to the global research community in applied mathematics.

Research Interest

Mr. Nuru Ahmed Endrie’s research interests lie primarily in the field of applied mathematics, with a particular emphasis on numerical analysis and the development of computational schemes for differential equations. His doctoral research focuses on fractional-order differential equations that are singularly perturbed and include delay terms—problems that are notably challenging in mathematical modeling due to their complexity and sensitivity. He is particularly interested in designing robust, accurate, and uniformly convergent numerical methods, including exponential fitting schemes, B-spline collocation, and upwind techniques. Mr. Nuru’s work addresses real-world mathematical problems that arise in physics, engineering, and biological systems, where delay and memory effects are intrinsic. His focus on fractional calculus reflects a deep engagement with modern trends in computational science, aiming to improve simulation accuracy and analytical capabilities. Through his scholarly publications, Mr. Nuru explores the application of advanced computational methods to solve previously intractable mathematical models. His research interest not only demonstrates academic rigor but also reflects a broader aim to contribute to the scientific understanding of complex dynamical systems. With a commitment to innovation and precision, Mr. Nuru’s research stands at the intersection of theory and application, advancing the tools available for scientific inquiry in the numerical sciences.

Research Skills

Mr. Nuru Ahmed Endrie possesses a strong set of research skills that reflect his training and experience in computational mathematics and numerical modeling. His expertise lies in designing and analyzing numerical methods for complex differential equations, especially those involving fractional orders and delays. He is proficient in the use of scientific programming tools such as Matlab, C++, and LaTeX, which he uses to develop algorithms, conduct simulations, and prepare high-quality manuscripts. In addition to his technical abilities, Mr. Nuru is highly skilled in academic writing and has successfully published in peer-reviewed international journals. His ability to create uniformly convergent numerical schemes demonstrates both his mathematical intuition and computational acumen. Mr. Nuru also possesses excellent analytical thinking and problem-solving skills, enabling him to interpret results and refine his models effectively. Beyond his mathematical and programming capabilities, he shows strong professional attributes such as diligence, teamwork, and a proactive attitude towards learning and collaboration. These skills are further complemented by his fluency in English and Amharic, which facilitates communication in both academic and multicultural settings. Altogether, Mr. Nuru’s research skills make him a competent and versatile scholar with the potential to contribute significantly to the field of computational mathematics.

Awards and Honors

While Mr. Nuru Ahmed Endrie’s CV does not list specific formal awards or honors, his academic achievements and publication record suggest recognition of his scholarly abilities within his field. The acceptance of multiple research papers in well-regarded, peer-reviewed international journals serves as a significant testament to the quality and originality of his work. Journals such as Partial Differential Equations in Applied Mathematics and Advances in Mathematical Physics have published his findings, indicating peer acknowledgment and credibility. Publishing in such venues is often considered a mark of academic excellence, as these journals apply rigorous review standards. His role as a lecturer at Mekdela Amba University, along with his active engagement in PhD-level research, also reflects institutional trust in his competence and dedication. Furthermore, Mr. Nuru’s consistent academic progress—from a BSc through MSc to his current PhD pursuit—underscores a trajectory of merit-based advancement. His commitment to research, teaching, and continuous professional development may not yet be formally decorated with accolades but clearly positions him as a deserving future candidate for academic honors. Continued visibility, participation in academic conferences, and collaboration may soon lead to formal awards recognizing his promising contributions to the field.

Conclusion

In conclusion, Mr. Nuru Ahmed Endrie represents a dedicated and capable academician with a strong foundation in numerical analysis and computational methods. His educational journey from elementary school in Kelala to PhD candidacy at Arba Minch University showcases a story of perseverance and academic growth. Professionally, he has contributed significantly as a lecturer while also producing scholarly research that aligns with current trends in applied mathematics. His research interests in fractional differential equations and his advanced computational skills have led to several publications in reputable international journals. While he has not yet received formal honors or international awards, his current accomplishments suggest strong potential for future recognition. Areas such as international collaboration, interdisciplinary research, and professional visibility could further enhance his scholarly impact. Overall, Mr. Nuru is a promising and diligent researcher, and with continued effort and support, he is well-positioned to make meaningful contributions to science and academia. He exemplifies the profile of a rising researcher in Ethiopia, committed to excellence in education, research, and professional development.

Publications Top Notes

  1. A Robust Exponentially Fitted Scheme for Singularly Perturbed Fractional‐Order Delay Parabolic Equation

    • Authors: Nuru Ahmed Endrie, Gemechis File Duressa, Mohammad Mirzazadeh

    • Year: 2025

  2. A Novel Mid-Point Upwind Scheme for Fractional-Order Singularly Perturbed Convection-Diffusion Delay Differential Equation

    • Authors: Nuru Ahmed Endrie, Gemechis File Duressa

    • Year: 2024

  3. Uniformly Convergent Numerical Solution for Caputo Fractional Order Singularly Perturbed Delay Differential Equation Using Extended Cubic B-Spline Collocation Scheme

    • Authors: Nuru Ahmed Endrie, Gemechis File Duressa

    • Year: 2024

  4. Numerical Method for Second Order Singularly Perturbed Delay Differential Equations with Fractional Order in Time via Fitted Computational Method

    • Authors: Nuru Ahmed Endrie, Gemechis File Duressa

    • Year: 2024

Muhammad Tariq | Mathematics | Best Scholar Award

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Dr. Muhammad Tariq | Mathematics | Best Scholar Award

Lecturer from Balochistan Residential College, Loralai Balochistan, Pakistan

Muhammad Tariq is a highly accomplished academic with a distinguished career in agricultural economics and development. He holds the position of Professor and Director at the Institute of Business, Management and Administrative Sciences (IBMAS), The Islamia University of Bahawalpur (IUB), Pakistan. He is also an active member of the Syndicate at IUB and has previously served as Dean of the Faculty of Management Sciences. His academic journey is marked by a strong commitment to excellence in teaching, research, and academic leadership. With a deep passion for development economics and agribusiness, Dr. Tariq has made significant contributions to the academic community and policy frameworks at both national and international levels. He has supervised numerous PhD and MPhil scholars and has published extensively in reputable journals. Dr. Tariq’s strategic vision and administrative acumen have played a pivotal role in shaping the academic and research landscape of his institution. His collaborative work with various governmental and international organizations has led to impactful research in areas related to food security, rural development, and sustainable agriculture. Through his multidimensional roles, he continues to inspire the next generation of scholars and professionals, fostering innovation, growth, and socio-economic advancement within and beyond Pakistan.

Professional Profile

Education

Muhammad Tariq’s academic background is rooted in a solid foundation in economics and agricultural sciences. He earned his Bachelor’s degree in Agriculture from the University of Agriculture, Faisalabad, which laid the groundwork for his understanding of rural and agrarian systems. He went on to complete his Master’s degree in Agricultural Economics from the same institution, distinguishing himself with outstanding academic performance. Driven by a desire to contribute meaningfully to the field of development economics, Dr. Tariq pursued his PhD in Development Economics at the University of Bradford in the United Kingdom. His doctoral studies equipped him with in-depth knowledge and analytical skills related to economic development, international trade, and policy analysis. Throughout his academic journey, he has also participated in various international workshops, training programs, and certificate courses in research methodologies and academic leadership, including programs sponsored by USAID and the British Council. This diverse educational background has not only deepened his theoretical knowledge but also expanded his global outlook, allowing him to integrate international perspectives into local development challenges. Dr. Tariq’s academic achievements reflect his intellectual rigor, critical thinking, and commitment to lifelong learning—key qualities that continue to define his career and influence in academia.

Professional Experience

Muhammad Tariq brings with him an extensive and diverse portfolio of professional experience in academia and policy advisory roles. He currently serves as Professor and Director at the Institute of Business, Management and Administrative Sciences at The Islamia University of Bahawalpur, Pakistan. His previous appointments include Dean of the Faculty of Management Sciences, Chairman of the Department of Economics, and Director of External Linkages. Over the course of his career, Dr. Tariq has played key roles in curriculum development, academic governance, and strategic institutional partnerships. He has also represented the university in multiple national and international forums, fostering collaborations with academic institutions, research centers, and development agencies. His experience extends beyond academia into consultancy and project-based research for organizations such as the World Bank, UNDP, and Pakistan’s Ministry of Planning. Through these engagements, he has provided expert input on rural development, economic reform, and poverty alleviation programs. Dr. Tariq has also been an active participant in training faculty, mentoring young researchers, and advising government officials on evidence-based policymaking. His professionalism, leadership qualities, and hands-on experience with institutional development make him a valuable asset to any educational or policy-oriented environment.

Research Interests

Muhammad Tariq’s research interests are deeply embedded in the disciplines of development economics, agricultural economics, rural development, and sustainability studies. He is particularly focused on the socio-economic challenges faced by rural communities and the role of agriculture in economic transformation. His work explores issues such as food security, poverty alleviation, climate-resilient agriculture, and inclusive economic growth. He is also keenly interested in agribusiness management, value chain analysis, and market efficiency, particularly in developing economies. Dr. Tariq’s research reflects a strong interdisciplinary approach, drawing from fields such as policy analysis, environmental economics, and gender studies to provide comprehensive insights into developmental challenges. He often collaborates with governmental and international institutions to conduct research that has direct implications for policy formulation and rural development strategies. His work aims to bridge the gap between theory and practice, ensuring that academic knowledge translates into practical solutions for improving livelihoods and agricultural systems. By integrating both qualitative and quantitative research methods, Dr. Tariq ensures that his findings are not only rigorous but also actionable. His research continues to contribute significantly to scholarly literature while also informing public policies aimed at creating sustainable and equitable development frameworks.

Research Skills

Muhammad Tariq possesses a robust set of research skills that span both theoretical and empirical methodologies. His expertise includes econometric modeling, policy analysis, and impact evaluation—tools essential for understanding complex socio-economic phenomena. Dr. Tariq is proficient in the use of various statistical software packages such as STATA, SPSS, and EViews, which he utilizes for data analysis and forecasting. He is also skilled in designing and executing large-scale surveys, conducting cost-benefit analyses, and applying mixed-method research designs to capture comprehensive data. Additionally, his experience in participatory rural appraisal and stakeholder analysis enhances the practical relevance of his work. Dr. Tariq’s academic writing is of high caliber, demonstrated by his numerous publications in peer-reviewed journals, conference presentations, and technical reports. He has successfully led multi-disciplinary research teams and has been principal investigator on various funded projects, showcasing his project management capabilities. His mentoring of postgraduate students reflects his ability to transfer these skills effectively. Whether working on academic research or policy consultancy, Dr. Tariq applies his analytical, critical thinking, and problem-solving abilities to generate meaningful insights and solutions. These skills underpin his reputation as a well-rounded, impactful researcher in development and agricultural economics.

Awards and Honors

Throughout his illustrious career, Muhammad Tariq has received numerous awards and honors that recognize his outstanding contributions to academia, research, and institutional development. He has been honored with Best Teacher Awards at The Islamia University of Bahawalpur for his excellence in teaching and mentorship. His research work has earned accolades from various academic bodies, including recognition from the Higher Education Commission (HEC) of Pakistan. Dr. Tariq has also been a recipient of international fellowships and travel grants, allowing him to participate in global conferences, workshops, and training sessions. These honors highlight his commitment to lifelong learning and academic engagement. Furthermore, he has received commendations for his leadership roles, particularly during his tenure as Dean and Director, where he introduced several reforms in faculty development, student services, and curriculum innovation. His contributions to national and international development projects have also been acknowledged by partner organizations such as UNDP, USAID, and the World Bank. These recognitions not only affirm his individual excellence but also reflect the broader impact of his work in shaping educational and policy environments. Dr. Tariq’s decorated career serves as an inspiration for scholars striving to make meaningful contributions to society.

Conclusion

In conclusion, Muhammad Tariq stands as a prominent figure in the realm of development and agricultural economics, combining academic excellence, impactful research, and visionary leadership. With a strong educational foundation and vast professional experience, he has significantly influenced the landscape of higher education and rural development in Pakistan and beyond. His research, grounded in real-world issues, continues to inform public policy and inspire scholarly discourse on sustainable development. The breadth of his expertise, from econometric analysis to institutional management, underscores his versatility and dedication to advancing knowledge for societal benefit. Through his teaching, supervision, and collaboration with national and international stakeholders, Dr. Tariq has mentored a generation of researchers and professionals who carry forward his legacy of intellectual rigor and community engagement. His numerous accolades are a testament to his commitment, while his ongoing involvement in research and academia highlights his enduring relevance. Dr. Tariq’s holistic approach—balancing theory, practice, and policy—makes him not just a scholar, but a changemaker in his field. As he continues to contribute to academic and development sectors, his work remains a beacon for those striving to blend knowledge with action in pursuit of a more equitable and prosperous future.

Publications Top Notes

  1. Title: New inequalities via n‐polynomial harmonically exponential type convex functions
    Authors: Wei Gao, Artion Kashuri, Saad Ihsan Butt, Muhammad Tariq, Adnan Aslam, Muhammad Nadeem
    Year: 2020
    Citations: 13
    Journal: AIMS Mathematics, 5(6), 6856–6873

  2. Title: Hermite‐Hadamard‐type inequalities via n‐polynomial exponential‐type convexity and their applications
    Authors: Saad Ihsan Butt, Artion Kashuri, Muhammad Tariq, Jamshed Nasir, Adnan Aslam, Wei Gao
    Year: 2020
    Citations: Data not available
    Journal: Advances in Differential Equations, 2020, Article ID 508

  3. Title: n‐polynomial exponential type p‐convex function with some related inequalities and their applications
    Authors: Saad Ihsan Butt, Artion Kashuri, Muhammad Tariq, Jamshed Nasir, Adnan Aslam, Wei Gao
    Year: 2020
    Citations: Data not available
    Journal: Heliyon, 6(11)

  4. Title: New Hermite‐Hadamard type and some related inequalities via s‐type p‐convex function
    Author: Muhammad Tariq
    Year: 2020
    Citations: Data not available
    Journal: International Journal of Scientific & Engineering Research (IJSER)​

  5. Title: Novel refinements via n–polynomial harmonically s–type convex functions and application in special functions
    Authors: Saad Ihsan Butt, Saima Rashid, Muhammad Tariq, Miao-Kun Wang
    Year: 2021
    Citations: Data not available
    Journal: Journal of Function Spaces, 2021, Article ID 1–17​

  6. Title: Hermite–Hadamard type inequalities via generalized harmonic exponential convexity and applications
    Authors: Saad Ihsan Butt, Muhammad Tariq, Adnan Aslam, Hijaz Ahmad, Taher A. Nofal
    Year: 2021
    Citations: Data not available
    Journal: Journal of Function Spaces, 2021, Article ID 1–12
    DOI: 10.1155/2021/5533491​

  7. Title: Some Ostrowski type integral inequalities via generalized harmonic convex functions
    Authors: Muhammad Tariq, Saad Ihsan Butt
    Year: 2021
    Citations: Data not available
    Journal: Open Journal of Mathematical Sciences, 5(1), 200–208​

  8. Title: New integral inequalities using exponential type convex functions with applications
    Authors: Jian Wang, Saad Ihsan Butt, Artion Kashuri, Muhammad Tariq
    Year: 2021
    Citations: Data not available
    Journal: AIMS Mathematics, 6(7), 7684–7703​

  9. Title: Exponential type p‐convex function with some related inequalities and their applications
    Authors: Miguel-Vivas Cortez, Artion Kashuri, Saad Ihsan Butt, Muhammad Tariq, Jamshed Nasir
    Year: 2021
    Citations: Data not available
    Journal: Applied Mathematics & Information Sciences, 15(3), 253–261​

  10. Title: New integral type inequalities via Raina‐convex functions and its applications
    Authors: Saad Ihsan Butt, Muhammad Nadeem, Muhammad Tariq, Adnan Aslam
    Year: 2021
    Citations: Data not available
    Journal: Communications Faculty of Sciences University of Ankara Series A1 Mathematics and Statistics, 70(2), 1011–1035

 

 

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

Elkhateeb Aly | Mathematics | Best Researcher Award

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Assoc. Prof. Dr Elkhateeb Aly | Mathematics | Best Researcher Award

Faculty of Science at Jazan University, Saudi Arabia

Dr. Elkhateeb Sobhy Aly Elgarieb, an assistant professor in the Department of Mathematical Sciences at Jazan University, has made significant contributions to applied mathematics. His research spans several specialized fields such as stochastic systems, chaos theory, and bifurcation analysis, with a strong focus on fractional differential equations and nonlinear dynamics. He holds a Ph.D. in Applied Mathematics from Mansoura University and has extensive teaching experience at multiple universities, including Al Azhar University and Mansoura University in Egypt, as well as Jazan University in Saudi Arabia. Dr. Elkhateeb’s publications have garnered significant attention in the global academic community, contributing to both theoretical advancements and practical applications of mathematical concepts. His work, published in well-regarded journals like Fractal and Fractional and Mathematical Problems in Engineering, is influential in the field of applied mathematics and continues to inspire ongoing research. Throughout his academic career, he has also actively participated in peer reviews for scientific journals, further solidifying his reputation as a key contributor to the mathematics community.

Professional Profile

Education:

Dr. Elkhateeb Sobhy Aly Elgarieb completed his Bachelor of Science in Mathematics at Mansoura University in 2000, where he furthered his academic journey through pre-masters and master’s studies in pure mathematics. His pursuit of academic excellence led him to earn a Ph.D. in Applied Mathematics from Mansoura University in 2013. The depth of his education provided a strong foundation for his subsequent research endeavors. Dr. Elkhateeb’s advanced studies have not only shaped his professional career but have also positioned him as an expert in applied and theoretical mathematics. He remains connected to his alma mater and other institutions, contributing to the academic development of students and engaging in rigorous research that bridges mathematical theory with real-world applications. His academic qualifications highlight his dedication to pursuing knowledge and understanding in complex mathematical fields, making him a recognized figure in mathematical research.

Professional Experience:

Dr. Elkhateeb Sobhy Aly Elgarieb has extensive professional experience in both teaching and research within the field of mathematics. He has been an assistant professor in the Department of Mathematical Sciences at Jazan University since 2013, where he has contributed to teaching, research, and academic leadership. In addition to his role at Jazan University, he has served as a lecturer at Al Azhar University, one of Egypt’s oldest and most prestigious institutions, since 2005. His academic career spans nearly two decades, during which he has provided significant contributions to the development of mathematical curricula and research programs. Dr. Elkhateeb’s early professional experience includes research scholarships at Mansoura University’s Faculty of Science, where he developed a deep understanding of advanced mathematical theories. His diverse professional experience across multiple academic institutions in Egypt and Saudi Arabia reflects his commitment to both education and groundbreaking research, positioning him as an influential figure in the global academic community.

Research Interests:

Dr. Elkhateeb Sobhy Aly Elgarieb’s research interests primarily focus on applied mathematics, with a special emphasis on stochastic systems, chaos theory, and bifurcation analysis. His work explores the dynamics of fractional differential equations, particularly those driven by stochastic processes, and the behavior of nonlinear dynamical systems. He has made notable contributions to the study of chaotic systems and their control, employing methods such as the Riccati equation and bifurcation theory to analyze system stability. His research also extends to the field of fractional calculus, where he investigates the analytical solutions to fractional differential equations in diverse applications. Dr. Elkhateeb is also deeply involved in studying mathematical phenomena in complex systems, such as biological systems, and has worked on the interaction between different mathematical models, including predator-prey dynamics. By delving into these interdisciplinary areas, his research aims to provide deeper insights into the mathematical underpinnings of physical and biological processes.

Research Skills:

Dr. Elkhateeb Sobhy Aly Elgarieb’s research skills are rooted in advanced mathematical modeling, analytical techniques, and numerical simulations. He is proficient in solving complex mathematical equations, particularly fractional differential equations, using both analytical and numerical methods. His expertise in chaos theory and bifurcation analysis has led to novel insights in the behavior of nonlinear systems, and he employs methods such as the Riccati equation to derive analytical solutions. Dr. Elkhateeb is skilled in applying mathematical principles to real-world phenomena, such as the dynamics of biological systems and ecological models, where he uses stochastic methods to model uncertainty and randomness. His ability to integrate diverse mathematical techniques has made him a valuable researcher in applied mathematics. In addition, his experience in peer review and collaboration with other researchers highlights his strong communication skills and commitment to academic excellence. His interdisciplinary approach to problem-solving, combining mathematical theory with practical applications, makes him a sought-after contributor to international research.

Awards and Honors:

While Dr. Elkhateeb Sobhy Aly Elgarieb has not listed specific awards in his profile, his extensive research publication record and ongoing academic career are indicative of recognition within the academic and research communities. His work on chaotic systems, bifurcation analysis, and fractional calculus has earned him a reputation as a leading researcher in applied mathematics. Dr. Elkhateeb’s contributions to scientific journals such as Fractal and Fractional, Mathematical Problems in Engineering, and Engineering Computations suggest that his work is highly regarded by peers and scholars in the field. Additionally, his role as a reviewer for prestigious journals further underscores the recognition of his expertise and scholarly impact. His sustained academic success and research achievements, combined with his active involvement in the academic community, point to a career marked by ongoing contributions to mathematical science and education.

Conclusion:

Dr. Elkhateeb Sobhy Aly Elgarieb is a distinguished academic and researcher in the field of applied mathematics, with an impressive body of work focused on stochastic systems, chaos theory, and bifurcation analysis. His contributions to fractional calculus and nonlinear dynamics have garnered international recognition, establishing him as a leading figure in the mathematics community. His academic journey, from his Bachelor’s degree to his Ph.D. in Applied Mathematics, has been marked by a continuous pursuit of knowledge and innovation. Dr. Elkhateeb’s teaching career at esteemed institutions such as Jazan University and Al Azhar University showcases his commitment to fostering the next generation of mathematicians. His research skills, encompassing both analytical and numerical methods, have enabled him to make significant advances in his field. While his awards may not be explicitly listed, his ongoing research, peer reviews, and collaborations indicate that his contributions are widely respected. In conclusion, Dr. Elkhateeb’s academic achievements, research innovations, and dedication to mathematics make him a key figure in his field, and his future work promises continued advancements in applied mathematics and interdisciplinary research.

Publication Top Notes

  1. Density-Dependent Mortality of the Diving Beetle, Rhantus elevatus (Dytiscidae: Coleoptera) Preyed Upon Culex pipiens Larvae: Effects of Prey and Predator Densities
    • Authors: Rashed, A.A., Aly, E.S., Mashlawi, A.M., Bayoumy, M.H.
    • Year: 2025
  2. A Novel Approach on the Sequential Type ψ-Hilfer Pantograph Fractional Differential Equation with Boundary Conditions
    • Authors: Aly, E.S., Maheswari, M.L., Shri, K.S.K., Hamali, W.
    • Year: 2024
  3. Erratum: Correction to: Analytical Study of a Modified-ABC Fractional Order Breast Cancer Model
    • Authors: Aldwoah, K.A., Almalahi, M.A., Hleili, M., Aly, E.S., Shah, K.
    • Year: 2024
  4. Analytical Study of a Modified-ABC Fractional Order Breast Cancer Model
    • Authors: Aldwoah, K.A., Almalahi, M.A., Hleili, M., Aly, E.S., Shah, K.
    • Year: 2024
    • Citations: 2
  5. Weighted Fejér, Hermite–Hadamard, and Trapezium-Type Inequalities for (h1,h2–Godunova–Levin Preinvex Function with Applications and Two Open Problems
    • Authors: Ahmadini, A.A.H., Afzal, W., Abbas, M., Aly, E.S.
    • Year: 2024
    • Citations: 9
  6. Modeling Monkeypox Virus Transmission: Stability Analysis and Comparison of Analytical Techniques
    • Authors: Aly, E.S., Singh, M., Aiyashi, M.A., Albalwi, M.D.
    • Year: 2024
  7. Criteria of Existence and Stability of an N-Coupled System of Generalized Sturm-Liouville Equations with a Modified ABC Fractional Derivative and an Application to the SEIR Influenza Epidemic Model
    • Authors: Aly, E.S., Almalahi, M.A., Aldwoah, K.A., Shah, K.
    • Year: 2024
    • Citations: 1
  8. Some New Generalizations of Reversed Minkowski’s Inequality for Several Functions via Time Scales
    • Authors: Aly, E.S., Saied, A.I., Ibedou, I., Algolam, M.S., Mohammed, W.W.
    • Year: 2024
  9. Some Dynamic Hardy-Type Inequalities with Negative Parameters on Time Scales Nabla Calculus
    • Authors: Aly, E.S., Madani, Y.A., Gassem, F., Rezk, H.M., Mohammed, W.W.
    • Year: 2024
    • Citations: 3
  10. N-Dimension for Dynamic Generalized Inequalities of Hölder and Minkowski Type on Diamond Alpha Time Scales
  • Authors: Aly, E.S., Mahnashi, A.M., Zaagan, A.A., Saied, A.I., Mohammed, W.W.
  • Year: 2024
  • Citations: 1

 

 

Okechukwu Obulezi | Mathematics | Best Researcher Award

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Dr. Okechukwu Obulezi | Mathematics | Best Researcher Award

Lecturer at Nnamdi Azikiwe University, Awka, Nigeria.

Okechukwu Jeremiah Obulezi, M.Sc., is a dedicated academic and researcher specializing in Probability Distributions and Machine Learning Models, with applications in survival analysis, competing risks, and acceptance sampling. He is currently a Lecturer I in the Statistics Department at Nnamdi Azikiwe University, Awka, Nigeria, where he has progressed through various academic roles since 2019. Obulezi holds a Master’s degree in Statistics from the same institution and is pursuing a Ph.D. in the same field. His research contributions include multiple published journal articles, focusing on topics such as statistical modeling and estimation techniques. He actively participates in academic leadership roles, serving as a reviewer for several reputable journals. Obulezi is also involved in student advising and departmental coordination, reflecting his commitment to both teaching and research excellence. His expertise positions him as a strong candidate for recognition in the Best Researcher Award.

Profile:

Education

Okechukwu Jeremiah Obulezi holds a robust educational background in statistics, anchored by his ongoing Ph.D. studies at Nnamdi Azikiwe University, where he focuses on advancing statistical methodologies. He earned his Master of Science (M.Sc) in Statistics from the same institution in 2016, with a thesis titled “BIC-Based Relative Influence Measure for Outlier Detection and Variable Selection in Regression Analysis.” Before this, he completed a Postgraduate Diploma (PGD) in Statistics at Nnamdi Azikiwe University in 2012, exploring “Discriminant Analysis of the Nigerian Fixed Assets.” His foundational education includes a Higher National Diploma (HND) in Statistics from Abia State Polytechnic, where he conducted a project on “Discriminant Analysis of the Performance of Secondary School Students.” Obulezi’s academic journey illustrates a consistent commitment to mastering statistical concepts and their practical applications, establishing a strong foundation for his research and teaching endeavors.

Professional Experiences 

Okechukwu Jeremiah Obulezi, M.Sc., is a dedicated academic with a robust professional background in statistics. Currently serving as a Lecturer I in the Statistics Department at Nnamdi Azikiwe University, Awka, Nigeria, he has progressed through various academic roles, including Lecturer II and Assistant Lecturer since 2019. Prior to this, he contributed to Abia State Polytechnic, where he served as a Senior Instructor and Instructor I in the Statistics Department from 2011 to 2019. Okechukwu’s responsibilities at Nnamdi Azikiwe University encompass teaching courses such as Biostatistics and Statistical Applications, along with mentoring undergraduate students as their level adviser. He actively participates in various academic committees, including the University Water Board Committee and the Faculty ICT Committee, showcasing his commitment to enhancing the academic environment. His continuous engagement in research and peer review further highlights his dedication to advancing statistical knowledge and education.

Research Interests

Okechukwu Jeremiah Obulezi, M.Sc, has a strong research focus on probability distributions and machine learning models, particularly their applications in survival analysis, competing risks, acceptance sampling, optimum sampling, and handling masked data and censoring schemes. His work is characterized by the integration of statistical theory and practical applications, aiming to enhance the reliability and efficiency of statistical models in real-world scenarios. With an emphasis on optimizing models for financial volatility and developing new statistical distributions, Obulezi’s research contributes significantly to the fields of statistics and data science. His expertise also extends to biostatistics and various statistical methodologies, positioning him as a key figure in advancing innovative approaches within the statistical community. Through his academic endeavors, he strives to address complex challenges in statistical modeling, ultimately benefiting both academic research and industry applications.

Research skills 

Okechukwu Jeremiah Obulezi possesses a robust skill set that enhances his research capabilities, particularly in the fields of statistics and machine learning. His expertise in probability distributions and their applications to survival analysis, competing risks, and acceptance sampling underscores his strong analytical skills. Obulezi has demonstrated proficiency in developing and optimizing statistical models, as evident in his published work on GARCH models for financial volatility. His experience in handling complex data sets, including those with missing data and censoring schemes, reflects his adeptness in statistical programming and data analysis. Furthermore, his involvement as a reviewer for various reputable journals showcases his critical thinking and attention to detail. Obulezi’s commitment to continuous learning is evidenced by his ongoing Ph.D. studies, further solidifying his position as a knowledgeable and skilled researcher in his field. Overall, his combination of technical skills and practical experience positions him well for impactful contributions to academic research.

Award And Recognition 

Okechukwu Jeremiah Obulezi has made significant contributions to the field of statistics, particularly in probability distributions and machine learning models, earning recognition for his innovative research and teaching excellence. His publications in esteemed journals, such as the Alexandria Engineering Journal and Scientific African, highlight his expertise in survival analysis and acceptance sampling. As a reviewer for several reputable academic journals, he actively contributes to the scientific community by ensuring the quality and integrity of published research. His commitment to academic leadership is evident through his roles as a seminar coordinator and undergraduate advisor at Nnamdi Azikiwe University, where he fosters student development. Furthermore, his ongoing Ph.D. studies and participation in various research committees exemplify his dedication to advancing statistical methodologies and applications, making him a commendable candidate for the Best Researcher Award.

Conclusion

Okechukwu Jeremiah Obulezi is a strong candidate for the Best Researcher Award due to his diverse research interests, extensive publication record, and dedication to teaching and academic leadership. While there are opportunities for growth, such as enhancing collaboration networks and securing research funding, his commitment to advancing statistical knowledge and mentoring future statisticians positions him as a valuable asset to the academic community. Awarding him this honor would recognize his contributions and motivate further excellence in his ongoing research endeavors.

Publication Top Notes
  1. Sine generalized family of distributions: Properties, estimation, simulations and applications
    • Authors: Oramulu, D.O., Alsadat, N., Kumar, A., Bahloul, M.M., Obulezi, O.J.
    • Year: 2024
    • Journal: Alexandria Engineering Journal
    • Volume/Issue/Page: 109, pp. 532–552
  2. A more flexible Lomax distribution: Characterization, estimation, group acceptance sampling plan and applications
    • Authors: Ekemezie, D.-F.N., Alghamdi, F.M., Aljohani, H.M., El-Raouf, M.M.A., Obulezi, O.J.
    • Year: 2024
    • Journal: Alexandria Engineering Journal
    • Volume/Issue/Page: 109, pp. 520–531
  3. Group acceptance sampling plan based on truncated life tests for Type-I heavy-tailed Rayleigh distribution
    • Authors: Nwankwo, M.P., Alsadat, N., Kumar, A., Bahloul, M.M., Obulezi, O.J.
    • Year: 2024
    • Journal: Heliyon
    • Volume/Issue/Page: 10(19), e38150
  4. Group acceptance sampling plans for type-I heavy-tailed exponential distribution based on truncated life tests
    • Authors: Nwankwo, B.C., Obiora-Ilouno, H.O., Almulhim, F.A., SidAhmed Mustafa, M., Obulezi, O.J.
    • Year: 2024
    • Journal: AIP Advances
    • Volume/Issue/Page: 14(3), 035310
  5. New Lifetime Distribution with Applications to Single Acceptance Sampling Plan and Scenarios of Increasing Hazard Rates
    • Authors: Chinedu, E.Q., Chukwudum, Q.C., Alsadat, N., Almetwally, E.M., Tolba, A.H.
    • Year: 2023
    • Journal: Symmetry
    • Volume/Issue/Page: 15(10), 1881
  6. A New Distribution for Modeling Data with Increasing Hazard Rate: A Case of COVID-19 Pandemic and Vinyl Chloride Data
    • Authors: Tolba, A.H., Onyekwere, C.K., El-Saeed, A.R., Alohali, H., Obulezi, O.J.
    • Year: 2023
    • Journal: Sustainability (Switzerland)
    • Volume/Issue/Page: 15(17), 12782

 

Juan Zhang | Mathematics | Best Researcher Award

Published on by Shen Awards

Prof Dr. Juan Zhang | Mathematics | Best Researcher Award

professor, Xiangtan University , China

Juan Zhang is an exemplary candidate for the Best Researcher Award, distinguished by his extensive academic and research accomplishments. He holds a Ph.D. in Applied Mathematics and has risen to the rank of professor at Xiangtan University, where he actively contributes to the field of numerical algebra and matrix analysis. With over 24 publications in reputable journals indexed by the Science Citation Index, his research has significantly advanced understanding in critical areas of applied mathematics. Zhang’s accolades include the Special Prize of the 25th President Award of Xiangtan University and recognition as a Young Backbone Teacher, underscoring his excellence in both teaching and research. His international experience as a visiting scholar at renowned institutions further highlights his commitment to academic collaboration. Overall, Zhang’s impressive credentials and contributions position him as a leading figure in his field, making him a deserving recipient of this prestigious award.

Profile:

Education

Juan Zhang earned his Ph.D. in Applied Mathematics from Xiangtan University in June 2013, under the guidance of Prof. Jianzhou Liu. Prior to his doctoral studies, he obtained a Master of Arts in Operational Research and Cybernetics in June 2009, also from Xiangtan University, where he was mentored by Prof. Jianzhou Liu. His academic journey began with a Bachelor of Science in Information and Computing Science, which he completed in June 2006 at the same institution. Throughout his education, Juan demonstrated a strong aptitude for mathematics and computational science, laying a solid foundation for his future research endeavors. His rigorous training and comprehensive knowledge in these fields have significantly contributed to his successful academic career, enabling him to develop innovative numerical methods and algorithms that address complex mathematical problems.

Professional Experiences

Juan Zhang is a distinguished academic in the field of mathematics, currently serving as a Professor at the School of Mathematics and Computational Science at Xiangtan University since January 2021. His career at the university began in July 2013 as an Assistant Professor, where he laid a solid foundation for his subsequent promotion to Associate Professor in January 2016. In addition to his teaching and research roles, Juan has enriched his expertise through various international experiences, including a stint as a Visiting Scholar at the Department of Mathematics at the University of Macau in August 2015 and at the National University of Singapore in December 2017. His work has focused on numerical algebra and matrix analysis, contributing to advancements in computational methods and algorithms. Through his dedication to education and research, Juan Zhang has significantly influenced both his institution and the broader academic community.

 

Research skills

Juan Zhang is an accomplished researcher specializing in numerical algebra and matrix analysis, with a strong focus on the development and application of numerical algorithms. His research is characterized by a deep understanding of complex mathematical concepts and their practical applications in various scientific fields. He has demonstrated proficiency in formulating innovative solutions for large sparse linear systems, coupled algebraic Riccati equations, and generalized Lyapunov equations. His ability to collaborate effectively with peers is evident in his extensive publication record, which includes numerous articles in high-impact journals. Moreover, his contributions to teaching and mentoring young researchers showcase his commitment to advancing the field of applied mathematics. Juan’s adeptness in utilizing advanced computational techniques and his ongoing engagement in cutting-edge research make him a valuable asset to both the academic community and industry partners.

 

Awards And Recoginition

Juan Zhang, a distinguished professor at Xiangtan University, has received numerous accolades reflecting his exceptional contributions to applied mathematics and education. Notable recognitions include the Special Prize of the 25th President Award from Xiangtan University in 2020, highlighting his innovative teaching methods and impactful research. In the same year, he was honored as a Young Backbone Teacher by the Education Department of Hunan Province, underscoring his role in shaping future educators. His commitment to academic excellence is further exemplified by awards such as the Excellent Party Member of Xiangtan University (2021) and the Baosteel Excellent Student Award (2011). Juan’s dedication to advancing knowledge in numerical algebra and matrix analysis is evidenced by his extensive publication record in leading scientific journals, where he has contributed significantly to the field. These honors collectively demonstrate his leadership and influence in both research and education.

 

Conclusion

Juan Zhang exemplifies the qualities of an outstanding researcher deserving of the Best Researcher Award. His extensive academic journey, marked by a Ph.D. in Applied Mathematics and a progressive career at Xiangtan University, showcases his dedication to advancing knowledge in numerical algebra and matrix analysis. With over 24 influential publications in high-impact journals, his research not only contributes significantly to the field but also addresses critical challenges in applied mathematics. His numerous awards and recognitions further attest to his excellence in teaching and research, highlighting his impact on students and the academic community. Moreover, his collaborations as a visiting scholar in esteemed institutions illustrate his commitment to global academic engagement. Juan’s achievements reflect a remarkable combination of expertise, innovation, and service, making him an exemplary candidate for this prestigious award. Recognizing his contributions will inspire future researchers and promote excellence in academia.

 

Publication Top Notes

  • Backward Differentiation Formula Method and Random Forest Method to Solve Continuous-Time Differential Riccati Equations
    Authors: Juan Zhang, Wenwen Zou, Chenglin Sui
    Year: 2024
    Citation: Asian Journal of Control, DOI: 10.1002/asjc.3494
  • Low-Rank Generalized Alternating Direction Implicit Iteration Method for Solving Matrix Equations
    Authors: Juan Zhang, Wenlu Xun
    Year: 2024
    Citation: Computational and Applied Mathematics, DOI: 10.1007/s40314-024-02774-8
  • Hybrid Model of Tensor Sparse Representation and Total Variation Regularization for Image Denoising
    Authors: Kai Deng, Youwei Wen, Kexin Li, Juan Zhang
    Year: 2024
    Citation: Signal Processing, DOI: 10.1016/j.sigpro.2023.109352
  • A General Alternating-Direction Implicit Framework with Gaussian Process Regression Parameter Prediction for Large Sparse Linear Systems
    Authors: Kai Jiang, Xuehong Su, Juan Zhang
    Year: 2022
    Citation: SIAM Journal on Scientific Computing, DOI: 10.1137/21M1450197
  • Numerical Methods for the Minimal Non-Negative Solution of the Non-Symmetric Coupled Algebraic Riccati Equation
    Authors: Juan Zhang, Fangyuan Tan
    Year: 2021
    Citation: Asian Journal of Control, DOI: 10.1002/asjc.2205
  • The Generalized Modified Hermitian and Skew-Hermitian Splitting Method for the Generalized Lyapunov Equation
    Authors: Juan Zhang, Huihui Kang
    Year: 2021
    Citation: International Journal of Control, Automation and Systems, DOI: 10.1007/s12555-020-0053-1
  • The Structure-Preserving Doubling Numerical Algorithm of the Continuous Coupled Algebraic Riccati Equation
    Authors: Juan Zhang, Shifeng Li
    Year: 2020
    Citation: International Journal of Control, Automation and Systems, DOI: 10.1007/s12555-019-0368-y