Mohammed Dawed | Mathematics | Life Sciences Innovation Award

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

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

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

 

 

Samvel Darbinyan | Mathematics | Best Researcher Award

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

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

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

Professional Profile

Education

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

Professional Experience

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

Research Interests

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

Research Skills

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

Awards and Honors

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

Conclusion

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

Publications Top Notes

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

  • Authors: S.K. Darbinyan, Samvel Kh

  • Year: 2025

  • Journal: Journal of Graph Theory

 

 

Nitiraj V. Kulkarni | Mathematics | Young Scientist Award

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

Nacira Agram | Mathematics | Best Researcher Award

Assoc. Prof. Dr. Nacira Agram | Mathematics | Best Researcher Award

Mathematics Department at KTH Royal, Algeria

Dr. Nacira Agram is an Associate Professor in the Department of Mathematics at KTH Royal Institute of Technology in Stockholm, Sweden. With a robust academic background and extensive research experience, her work primarily focuses on stochastic analysis, optimal control theory, and their applications in finance, insurance, and biology. Dr. Agram has made significant contributions to the field of applied mathematics, particularly in the study of stochastic differential equations and backward stochastic differential equations. Her research is characterized by a deep integration of theoretical mathematics with practical problem-solving, aiming to develop models that address real-world challenges. In addition to her research, Dr. Agram is actively involved in teaching and mentoring, guiding both master’s and doctoral students in their academic pursuits. Her international experience spans multiple countries, reflecting a commitment to fostering global academic collaborations and contributing to the advancement of mathematical sciences.

Professional Profile

Education

Dr. Agram’s academic journey began at the University of Biskra in Algeria, where she earned her Bachelor’s degree in Mathematics in 2008. She continued at the same institution to obtain her Master’s degree in Mathematics in 2010, focusing on stochastic analysis and optimal control. Her passion for these subjects culminated in a Ph.D. in Applied Mathematics from the University of Biskra in 2013, with a dissertation titled “Optimal Control in Infinite Time Horizon.” In 2021, Dr. Agram achieved the title of Docent from Linnaeus University in Växjö, Sweden, recognizing her substantial contributions to research and teaching in mathematics. This progression through rigorous academic training has equipped her with a solid foundation in both theoretical and applied aspects of mathematics, enabling her to tackle complex problems in her subsequent research and professional endeavors.

Professional Experience

Dr. Agram’s professional trajectory is marked by a series of esteemed positions across various academic institutions. Following her Ph.D., she served as an Associate Professor at the University of Biskra from 2014 to 2019, where she was instrumental in advancing the department’s research profile. She then pursued postdoctoral research at the University of Oslo in Norway between 2016 and 2018, collaborating on projects involving stochastic processes. In 2019, Dr. Agram joined Linnaeus University in Växjö, Sweden, as a Tenure-Track Assistant Professor, further honing her research and teaching skills. Her career advanced as she assumed the role of Associate Professor at KTH Royal Institute of Technology in March 2022, where she continues to contribute to the fields of probability, mathematical physics, and statistics. Throughout her career, Dr. Agram has demonstrated a commitment to academic excellence, interdisciplinary collaboration, and mentorship, impacting both her students and the broader mathematical community.

Research Interests

Dr. Agram’s research interests are centered around applied mathematics, with a particular emphasis on stochastic processes and optimal control theory. She delves into stochastic differential equations, backward stochastic differential equations, and partial differential equations, exploring their applications in various domains such as finance, insurance, and biology. Her work often involves the development of deep learning and reinforcement learning algorithms to solve complex optimal control problems, aiming to enhance decision-making processes in uncertain environments. Dr. Agram is also interested in the interplay between stochastic analysis and machine learning, seeking to leverage data-driven approaches to inform and improve mathematical models. Her interdisciplinary approach reflects a dedication to addressing practical problems through rigorous mathematical frameworks, contributing to advancements in both theory and application.

Research Skills

Dr. Agram possesses a diverse set of research skills that underpin her contributions to applied mathematics. She is proficient in stochastic modeling, adept at formulating and analyzing models that incorporate randomness to reflect real-world uncertainties. Her expertise extends to optimal control theory, where she develops strategies to influence dynamic systems towards desired objectives. Dr. Agram is skilled in the application of deep learning techniques, utilizing neural networks to approximate complex functions and solve high-dimensional problems. Her programming capabilities in Python, MATLAB, and C++ facilitate the implementation and simulation of mathematical models, enabling her to test hypotheses and validate theoretical findings. Additionally, her multilingual proficiency in Arabic, French, English, Norwegian, and Swedish enhances her ability to collaborate across diverse cultural and academic settings, fostering international research partnerships.

Awards and Honors

Throughout her career, Dr. Agram has been recognized for her academic excellence and research contributions. She has been the recipient of several prestigious grants, including a Starting Grant from KTH in 2024 amounting to 3 million SEK, and a VR Project Grant in 2020 totaling 3.6 million SEK, underscoring the significance and impact of her research endeavors. Her early academic achievements were marked by accolades such as the Best Bachelor Student Prize in 2008, Best Master Student Prize in 2010, and the First Ph.D. Defense Prize in 2013 from the University of Biskra, highlighting her consistent dedication to scholarly excellence. In 2017, Dr. Agram was selected to participate in the 5th Heidelberg Laureate Forum, an honor that connects promising researchers with laureates in mathematics and computer science, reflecting her standing in the global scientific community. These honors collectively attest to Dr. Agram’s sustained commitment to advancing mathematical sciences and her influence as a leading researcher in her field.

Conclusion

Dr. Nacira Agram exemplifies a distinguished scholar whose career seamlessly integrates rigorous research, dedicated teaching, and impactful mentorship. Her extensive work in stochastic analysis and optimal control has not only advanced theoretical mathematics but also provided practical solutions to complex problems in finance, insurance, and biology. Dr. Agram’s ability to secure significant research funding and her recognition through various awards underscore the value and relevance of her contributions to the scientific community. Her commitment to fostering international collaborations and guiding the next generation of mathematicians reflects a holistic approach to academia, where knowledge creation and dissemination go hand in hand. As she continues her tenure at KTH Royal Institute of Technology, Dr. Agram remains poised to make further strides in her research, inspiring both her peers and students through her exemplary dedication to the advancement of mathematical sciences.

Publication Top Notes

  1. “Deep learning for quadratic hedging in incomplete jump market”

    • Authors: Nacira Agram, Bernt Karsten Øksendal, Jan Rems
    • Year: 2024
    • Citations: 1
  2. “Optimal stopping of conditional McKean–Vlasov jump diffusions”

    • Authors: Nacira Agram, Bernt Karsten Øksendal
    • Year: 2024

Elkhateeb Aly | Mathematics | Best Researcher Award

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

 

 

Cong Gao | Mathematics | Best Researcher Award

Dr. Cong Gao | Mathematics | Best Researcher Award

Associate Research Fellow at Harbin Engineering University, China

Cong Gao is a dedicated researcher specializing in structural vibration, noise control, and the mechanical properties of composite materials. His research focuses on understanding and mitigating vibration and acoustic issues in complex engineering structures, with significant contributions to the analysis of stiffened cylindrical shells, functionally graded materials, and composite structures. Cong Gao’s work bridges theory and experimentation, employing advanced analytical methods such as the Ritz method and Jacobi polynomials to solve complex vibration problems. His prolific academic output includes publications in high-impact journals, covering topics like vibro-acoustics, free and forced vibration, and dynamic behavior of shells and plates. His innovative research has applications in aerospace, marine engineering, and structural design.

Professional Profile

Education

Cong Gao holds advanced degrees in engineering, focusing on structural mechanics and material science. His academic journey has equipped him with profound expertise in analytical and computational methods for solving structural vibration problems. With rigorous training in theoretical and experimental mechanics, Cong Gao combines mathematical modeling with practical application to develop innovative solutions for real-world engineering challenges. His education has provided the foundation for his impactful contributions to the field of composite materials and vibration analysis.

Professional Experience

Cong Gao has gained significant professional experience as a researcher and academic. He has been actively involved in projects addressing vibration and noise issues in engineering structures, particularly in aerospace and marine applications. His work frequently involves collaboration with multidisciplinary teams to develop and validate advanced models for structural analysis. Cong Gao’s experience spans from theoretical development to experimental validation, ensuring the practical relevance of his research. His expertise in handling complex structural systems makes him a vital contributor to projects requiring cutting-edge vibration and acoustic analysis techniques.

Research Interests

Cong Gao’s research interests lie at the intersection of structural mechanics, vibration analysis, and material science. His primary focus is on the vibro-acoustic behavior of composite materials, particularly stiffened cylindrical shells and functionally graded structures. He is passionate about developing semi-analytical methods for vibration and noise prediction, leveraging techniques like the Ritz method and Jacobi polynomials to enhance the understanding of dynamic behavior in engineering systems. Cong Gao’s research has implications for reducing noise pollution, optimizing structural performance, and advancing material design in industries like aerospace, marine, and automotive engineering.

Research Skills

Cong Gao possesses exceptional research skills in both analytical and experimental mechanics. He is adept at using advanced semi-analytical techniques, such as the Ritz method and Jacobi polynomials, for solving complex structural dynamics problems. His expertise extends to finite element modeling, vibro-acoustic analysis, and dynamic characterization of composite materials. He is proficient in designing and conducting experiments to validate theoretical models, ensuring the reliability of his research findings. His ability to integrate theory and practice highlights his versatility and depth in addressing multidisciplinary challenges in structural vibration and noise control.

Awards and Honors

Cong Gao’s outstanding contributions to structural mechanics and material science have earned him recognition in the academic and professional communities. He has received accolades for his innovative research on the dynamic behavior of composite materials and stiffened shells. His impactful publications in high-impact journals have further established his reputation as a leading researcher in vibration and noise analysis. Cong Gao’s work has been highlighted at international conferences, where he has received awards for excellence in research presentations. His achievements reflect his dedication to advancing knowledge and solving critical engineering problems.

Conclusion

Cong Gao is a highly suitable candidate for the Best Researcher Award due to his significant contributions to structural vibration, noise analysis, and composite materials research. His methodological rigor and consistent productivity make him a standout researcher in his field. While addressing areas such as leadership roles, industrial collaborations, and public engagement could further enhance his profile, his current achievements strongly position him as a deserving candidate for this recognition.

Publication Top Notes

  1. A unified Jacobi-Ritz-spectral BEM for vibro-acoustic behavior of spherical shell
    Authors: Li, H., Xu, J., Pang, F., Gao, C., Zheng, J.
    Year: 2024
  2. Jacobi-Ritz method for dynamic analysis of functionally graded cylindrical shell with general boundary conditions based on FSDT
    Authors: Xu, J., Gao, C., Li, H., Zheng, J., Hang, T.
    Year: 2024
  3. Coaxial composite resonator for vibration damping: Bandgap characteristics and experimental research
    Authors: Qin, Y.-X., Xie, Y.-X., Tang, Y., Pang, F.-Z., Gao, C.
    Year: 2024
  4. Dynamic analysis of stepped functionally graded conical shells with general boundary restraints using Jacobi polynomials-Ritz method
    Authors: Lu, L., Gao, C., Xu, J., Li, H., Zheng, J.
    Year: 2024
  5. Reconstructed source method for underwater noise prediction of a stiffened cylindrical shell
    Authors: Pang, F., Tang, Y., Li, C., Gao, C., Li, H.
    Year: 2024
  6. Prediction of vibro-acoustic response of ring stiffened cylindrical shells by using a semi-analytical method
    Authors: Gao, C., Pang, F., Li, H., Huang, X., Liang, R.
    Year: 2024
    Citations: 2
  7. Prediction of Time Domain Vibro-Acoustic Response of Conical Shells Using Jacobi–Ritz Boundary Element Method
    Authors: Gao, C., Zheng, J., Pang, F., Li, H., Yan, J.
    Year: 2024
  8. Modeling and experiments on the vibro-acoustic analysis of ring stiffened cylindrical shells with internal bulkheads: A comparative study
    Authors: Gao, C., Xu, J., Pang, F., Li, H., Wang, K.
    Year: 2024
    Citations: 6
  9. Experimental and numerical investigation on vibro-acoustic performance of a submerged stiffened cylindrical shell under multiple excitations
    Authors: Tang, Y., Zhao, Z., Qin, Y., Gao, C., Li, H.
    Year: 2024
    Citations: 6
  10. Forced vibration response analysis of hemispherical shell under complex boundary conditions | 复杂边界条件下半球壳受迫振动响应分析
    Authors: Pang, F.-Z., Zhang, M., Gao, C., Zheng, J.-J., Li, H.-C.
    Year: 2024
    Citations: 1

 

Lakshmi Narayan Mishral | Mathematics | Best Researcher Award

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

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