Suleyman Cetinkaya | Mathematics | Best Researcher Award

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

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

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

Professional Profile​

Education

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

Professional Experience

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

Research Interests

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

Research Skills

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

Awards and Honors

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

Conclusion

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

Publications Top Notes​

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

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

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

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

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

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

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

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

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

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

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

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

 

Nitiraj V. Kulkarni | Mathematics | Young Scientist Award

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Mr. Nitiraj Kulkarni | Mathematics | Young Scientist Award

Student Researcher at Vishwakarma University, Pune, India

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

Professional Profile

Education

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

Professional Experience

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

Research Interests

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

Research Skills

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

Awards and Honors

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

Conclusion

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

Publications Top Notes

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

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

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

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

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

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

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

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

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

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

Nacira Agram | Mathematics | Best Researcher Award

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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

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

Faculty of Science at Jazan University, Saudi Arabia

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

Professional Profile

Education:

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

Professional Experience:

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

Research Interests:

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

Research Skills:

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

Awards and Honors:

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

Conclusion:

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

Publication Top Notes

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

 

 

Cong Gao | Mathematics | Best Researcher Award

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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

 

Hamidou Tembine | Mathematics | Best Scholar Award

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Prof. Dr. Hamidou Tembine | Mathematics | Best Scholar Award

Professor of AI at UQTR, Canada

Prof. Dr. Hamidou Tembine is a senior research scientist at the King Abdullah University of Science and Technology (KAUST), specializing in applied mathematics and computational science. His research integrates uncertainty quantification, evolutionary game theory, and distributed learning to tackle complex problems in wireless communications and beyond. Tembine has made significant contributions to optimizing systems in uncertain environments, helping to advance the understanding of complex stochastic systems. He has been recognized for his innovative research, especially for its societal impact.

Professional Profile

Education

Prof. Tembine completed his higher education in mathematical engineering. He earned his Ph.D. from the University of Paris-Est, where he developed expertise in stochastic processes, optimization, and game theory. His academic background laid a strong foundation for his subsequent research in applied mathematics and computational science, where he focuses on areas including strategic learning, communication networks, and mathematical models of uncertainty​

Professional Experience

Throughout his career, Prof. Tembine has held significant academic and research positions. He is currently a senior research scientist at KAUST, where he contributes to the Stochastic Numerics Research Group (StochNum). He has also held roles in various academic institutions, developing expertise in communication systems, distributed networks, and optimization under uncertainty​

Research Interests

Prof. Tembine’s research interests are diverse, spanning from uncertainty quantification to evolutionary game theory. His work aims to solve real-world problems in areas like wireless communications, distributed strategic learning, and multi-agent systems. He focuses on optimizing communication networks by applying advanced mathematical models, offering insights into complex systems where uncertainty plays a central role​

Research Skills

Prof. Tembine is skilled in stochastic numerics, optimization techniques, and mathematical modeling. His expertise includes developing algorithms for uncertain systems, conducting theoretical research in game theory, and applying these models to real-world communication and network systems. He is proficient in a range of mathematical tools, from evolutionary strategies to advanced computational methods, enhancing the performance of complex systems under uncertain conditions​

Awards and Honors

Prof. Tembine has received numerous accolades for his groundbreaking research. One of his significant awards is the IEEE Communications Society (ComSoc) EMEA Outstanding Young Researcher Award, recognizing his contributions to society through his research in wireless communications and uncertainty quantification.

Conclusion

Prof. Dr. Tembine’s outstanding scholarly contributions and innovative research place him in strong contention for the Best Scholar Award. He has demonstrated a strong leadership role in advancing his field and has the potential to enhance the impact of his work by further expanding collaborations and promoting interdisciplinary initiatives.

Publications Top Notes

  • Game theory and learning for wireless networks: fundamentals and applications
    • Authors: S. Lasaulce, H. Tembine
    • Year: 2011
    • Citations: 349
  • Underwater wireless sensor networks: A survey on enabling technologies, localization protocols, and internet of underwater things
    • Authors: M. Jouhari, K. Ibrahimi, H. Tembine, J. Ben-Othman
    • Year: 2019
    • Citations: 308
  • Evolutionary games in wireless networks
    • Authors: H. Tembine, E. Altman, R. El-Azouzi, Y. Hayel
    • Year: 2009
    • Citations: 227
  • Electrical vehicles in the smart grid: A mean field game analysis
    • Authors: R. Couillet, S. M. Perlaza, H. Tembine, M. Debbah
    • Year: 2012
    • Citations: 203
  • Risk-sensitive mean-field games
    • Authors: H. Tembine, Q. Zhu, T. Başar
    • Year: 2013
    • Citations: 190
  • Distributed strategic learning for wireless engineers
    • Authors: H. Tembine
    • Year: 2018
    • Citations: 159
  • Game theory for wireless communications and networking
    • Authors: Y. Zhang, M. Guizani
    • Year: 2011
    • Citations: 155
  • Game dynamics and cost of learning in heterogeneous 4G networks
    • Authors: M. A. Khan, H. Tembine, A. V. Vasilakos
    • Year: 2011
    • Citations: 153
  • A stochastic maximum principle for risk-sensitive mean-field type control
    • Authors: B. Djehiche, H. Tembine, R. Tempone
    • Year: 2015
    • Citations: 122
  • Mean-field-type games in engineering
    • Authors: B. Djehiche, A. Tcheukam, H. Tembine
    • Year: 2017
    • Citations: 116

 

 

Syed Anwar | signal processing | Best Researcher Award

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Syed Anwar | signal processing | Best Researcher Award

Principal Investigator at Childrens National Hopsital, United States.

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

Profile👤

Scopus

ORCID

Education📝

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

Experience👨‍🏫

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

Research Interest🔬 

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

Awards and Honors🏆

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

Skills🛠️

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

Conclusion 🔍 

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

Publication Top Notes

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

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

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

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

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

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

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

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

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

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

Laxmi Rathour | Mathematics | Young Scientist Award

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Laxmi Rathour | Mathematics | Young Scientist Award

Research Scholar at National Institute of Technology Mizoram, India.

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

Profile👤

Scopus

ORCID

Education📝

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

Experience👨‍🏫

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

Research Interest🔬 

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

Awards and Honors🏆

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

Skills🛠️

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

Conclusion 🔍 

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

Publication Top Notes

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

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

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

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

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

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

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

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

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

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

 

Elijah Yendaw | Social Sciences | Best Researcher Award

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Prof. Elijah Yendaw | Social Sciences | Best Researcher Award

Vice Dean/Director at Simon Diedong Dombo University of Business and Integrated Development Studies., Ghana.

Prof. Elijah Yendaw, PhD, is a distinguished academic affiliated with Simon Diedong Dombo University of Business and Integrated Development Studies in Ghana, where he serves in the Faculty of Public Policy and Governance, specializing in Governance and Development Management. His research focuses on critical issues related to governance and development, contributing significantly to the field and informing policy-making processes. With a strong academic background and a commitment to impactful research, Prof. Yendaw has the potential to enhance the quality and relevance of his work further. To strengthen his candidacy for the Research for Best Scholar Award, he could benefit from improving the quality and quantity of his publications, pursuing interdisciplinary collaborations, and actively seeking research grants. By addressing these areas for improvement, Prof. Yendaw can continue to advance his scholarly contributions and reinforce his status as a leading figure in governance and development studies.

Profile👤

Education📝

Prof. Elijah Yendaw has a distinguished educational background that underscores his expertise in governance and development. He earned his Doctor of Philosophy (PhD) degree from the University of Cape Coast in Ghana, where he focused on research that contributes to the understanding of public policy and governance issues. His academic journey is marked by a strong commitment to acquiring knowledge and skills that inform his teaching and research. Prior to his PhD, he obtained a Master of Philosophy (MPhil) in Development Studies, equipping him with critical analytical tools to address complex development challenges. Additionally, his foundational education includes a Bachelor of Arts (BA) degree in Sociology and Social Work. This comprehensive educational experience has provided Prof. Yendaw with a solid theoretical and practical grounding, enabling him to contribute effectively to the academic community and engage meaningfully with pressing social issues in his field.

Experience👨‍🏫

Prof. Elijah Yendaw has extensive experience in academia and research, particularly within the realm of governance and development management. His tenure at Simon Diedong Dombo University of Business and Integrated Development Studies (SDD-UBIDS) has allowed him to contribute significantly to both teaching and research, shaping future leaders in public policy. Prof. Yendaw’s expertise encompasses a range of topics, including policy analysis, development strategies, and community engagement, which are essential for effective governance. He has actively participated in various research projects, often collaborating with local and international institutions to address pressing developmental challenges in Ghana and beyond. His commitment to enhancing educational standards is reflected in his involvement in curriculum development and capacity-building initiatives. Through his scholarly work, Prof. Yendaw has made meaningful contributions to the academic community, influencing policy discourse and promoting sustainable development practices in his region.

Research Interest🔬 

Prof. Elijah Yendaw’s research interests primarily revolve around governance, development management, and public policy, with a particular focus on the intricate dynamics between governance structures and socioeconomic development. His work emphasizes the importance of effective governance systems in promoting sustainable development, analyzing how policy frameworks can address pressing societal challenges in Ghana and beyond. Additionally, he explores the role of citizen engagement in governance processes, aiming to enhance democratic participation and accountability. Prof. Yendaw is also interested in the impact of globalization on local governance and development, investigating how international policies affect national and community-level outcomes. Through his research, he seeks to contribute to the formulation of evidence-based policies that foster inclusive growth and empower marginalized populations. His interdisciplinary approach allows him to collaborate with various stakeholders, including government agencies, non-governmental organizations, and academic institutions, to promote holistic development strategies.

Awards and Honors🏆

Prof. Elijah Yendaw has received several prestigious awards and honors that reflect his outstanding contributions to academia and research. Notably, he has been recognized with the Best Research Award at the Simon Diedong Dombo University of Business and Integrated Development Studies for his impactful studies on governance and development management. His dedication to fostering academic excellence has earned him a Fellowship at the West African Research Association, allowing him to collaborate with leading scholars across the region. Additionally, he has been honored with a teaching excellence award for his innovative approaches to pedagogy and commitment to student engagement. Prof. Yendaw’s accolades highlight not only his research capabilities but also his role as an inspiring educator, dedicated to empowering the next generation of leaders in public policy and governance. These honors underscore his influence and dedication to advancing knowledge in his field and contributing to societal development.

Skills🛠️

Prof. Elijah Yendaw possesses a diverse skill set that enhances his effectiveness as an academic and researcher in governance and development management. His strong analytical skills enable him to critically evaluate complex policies and socio-economic issues, facilitating the formulation of evidence-based solutions. Proficient in qualitative and quantitative research methodologies, he is adept at designing and conducting rigorous studies that contribute valuable insights to his field. Additionally, his communication skills are noteworthy; he can convey complex ideas clearly and persuasively to diverse audiences, including academic peers, policymakers, and students. Prof. Yendaw’s collaborative nature allows him to work effectively in interdisciplinary teams, fostering innovation and a broader understanding of governance challenges. Furthermore, his commitment to community engagement highlights his ability to apply theoretical knowledge to real-world contexts, ensuring that his research has a meaningful impact on society. Together, these skills position him as a valuable contributor to academic and public discourse.

Conclusion 🔍 

In conclusion, Prof. Elijah Yendaw is a strong candidate for the Research for Best Scholar Award due to his solid academic foundation, extensive involvement in governance and development studies, and affiliation with a reputable institution. His focus on impactful research positions him as a thought leader in his field. However, to enhance his candidacy, Prof. Yendaw should work on improving the quality and quantity of his publications, pursue interdisciplinary collaborations, and seek additional funding opportunities to expand his research scope. Furthermore, actively engaging in networking and professional development will allow him to stay updated with current trends and methodologies. By addressing these areas for improvement, Prof. Yendaw can further elevate his research profile, ultimately strengthening his eligibility for this prestigious award and solidifying his impact on both academia and the broader community.

Publication Top Notes
  • Microlevel analysis of how itinerant immigrant entrepreneurs underwrite local economic development in an African city
    • Authors: Abdulai, I.A., Fuseini, M.N., Yendaw, E.
    • Year: 2024
    • Citations: 0
  • Gendered rights and challenges of women’s ownership, access, and investment in land and shea trees in selected peri-urban communities of Ghana
    • Authors: Blemayi Honya, K., Kuusaana, E.D., Yendaw, E.
    • Year: 2024
    • Citations: 1
  • Going through treatment: experiences of women who sought assisted reproductive technology treatment in five selected hospitals in Ghana
    • Authors: Asante-Afari, K., Nantomah, B., Yendaw, E., Borbor, F.M.
    • Year: 2024
    • Citations: 0
  • Residential status and household wealth disparities in modern contraceptives use among women in Ghana: a cross-sectional analysis
    • Authors: Tampah-Naah, A.M., Yendaw, E., Sumankuuro, J.
    • Year: 2023
    • Citations: 0
  • Does healthcare decision-making capacity affect women’s justification of sexual violence? the situation of sub-Saharan Africa
    • Authors: Baatiema, L., Ameyaw, E.K., Ahinkorah, B.O., … Yendaw, E., Moomin, A.
    • Year: 2023
    • Citations: 0
  • Perceived risks, challenges and coping strategies among West African immigrant entrepreneurs in Ghana
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Anjaly Anand | Mathematics | Best Researcher Award

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Ms. Anjaly Anand | Mathematics |Best Researcher Award

Research Scholar at National Institute of Technology Calicut, Department of Mathematics, India.

Anjaly Anand, a dedicated research aspirant from Kozhikode, Kerala, holds a Master’s degree in Mathematics and Scientific Computing from NIT Calicut. With a solid academic background, reflected in her First Class CGPA of 7.5, Anjaly has gained valuable experience in higher education as an Assistant Professor and Academic Associate. Her research interests have led to several publications in esteemed journals, addressing topics such as numerical techniques in weather forecasting and traffic flow optimization. Proficient in MATLAB, C, and LaTeX, she showcases strong technical skills that enhance her research capabilities. Anjaly is actively engaged in her academic community, organizing events and contributing to student development initiatives. As a member of the Ramanujan Mathematical Society and a UGC-NET qualifier, she is recognized for her achievements. Overall, Anjaly’s passion for mathematics, commitment to education, and contributions to research make her a notable candidate for the Best Scholar Award.

 

Profile👤

Education📝

Anjaly Anand holds a Master’s degree in Mathematics and Scientific Computing from the National Institute of Technology (NIT) Calicut, where she achieved a commendable First Class CGPA of 7.5 out of 10. Her educational journey began at Calicut University, where she earned her Bachelor’s degree in Mathematics, graduating with First Class honors and a percentage of 76.1%. Anjaly’s foundational education was established at Chinmaya Vidyalaya, Calicut, where she excelled in her Class XII examinations with a distinction of 83.3% and in Class X with a remarkable 92.1%. This strong academic background underscores her dedication to her studies and her commitment to the field of mathematics. Anjaly’s education has equipped her with a solid theoretical and practical understanding of mathematical concepts, laying the groundwork for her successful career in academia and research. Her pursuit of knowledge continues to drive her ambition and interest in mathematical applications.

 

Experience👨‍🏫

Anjaly Anand has a diverse and enriching experience in the field of mathematics and higher education. She served as an Assistant Professor in the Department of Mathematics at Amrita Viswa Vidyapeetham from 2016 to 2021, where she coordinated the Integrated M.Sc program and taught courses for Integrated MCA and M.Sc students. Her role also involved evaluating student performance and organizing academic events, demonstrating her commitment to fostering a vibrant learning environment. Prior to this, she worked as an Academic Associate at the Indian Institute of Management Kozhikode, handling tutorial sessions for postgraduate students and assisting in research projects. Additionally, Anjaly contributed as an Adhoc Faculty member at NIT Calicut, where she taught both MCA and B.Tech students. Through these roles, she has developed a strong foundation in teaching, curriculum development, and academic evaluation, establishing herself as a dedicated educator and researcher in the mathematics community.

 

Research Interest🔬 

Anjaly Anand’s research interests lie primarily in the field of applied mathematics, particularly focusing on numerical techniques and scientific computing. She is passionate about utilizing mathematical models to address real-world problems, such as weather forecasting, traffic flow optimization, and financial modeling. Her work often involves the application of numerical methodologies to complex systems, enabling more accurate predictions and improved decision-making processes. Anjaly is particularly interested in exploring higher index differential-algebraic equations, as they play a crucial role in various engineering and economic applications. Additionally, she aims to integrate emerging technologies, such as machine learning and data analytics, with traditional mathematical approaches to enhance the efficiency and accuracy of her research outcomes. Through her work, Anjaly seeks to contribute to the advancement of mathematical sciences and its applications, while also inspiring future generations of mathematicians and researchers.

 

Awards and Honors🏆

Anjaly Anand has received several noteworthy awards and honors that underscore her commitment to academic excellence and community engagement. She is a member of the esteemed Ramanujan Mathematical Society, which highlights her active participation in the mathematical community. In 2018, she achieved a remarkable rank of 87 in the UGC-NET (National Eligibility Test), demonstrating her proficiency and dedication to the field of mathematics. Anjaly also cleared the GRE, further showcasing her academic capabilities. During her time at the National Institute of Technology (NIT) Calicut, she was actively involved in student governance as a postgraduate representative in the Students Affairs Council in 2013. Additionally, she showcased her leadership skills as the event committee head for the cultural fest “Aarav 2013.” Her volunteer work with initiatives like Inspire-Science camp and the National Service Scheme reflects her commitment to social service and nurturing future generations in science and mathematics.

 

Skills🛠️

Anjaly Anand possesses a diverse skill set that underlines her qualifications and effectiveness as a researcher and educator in mathematics. Her technical expertise includes proficiency in programming languages such as MATLAB and C, which enable her to perform complex numerical analyses and develop computational models. Anjaly is also adept at using LaTeX, a valuable tool for typesetting mathematical documents and research papers. Her strong analytical skills are demonstrated through her published research on various topics, including weather forecasting and traffic flow optimization. In addition to her technical capabilities, Anjaly exhibits excellent organizational and leadership skills, as evidenced by her role as class coordinator and her involvement in organizing academic events. She is a highly motivated individual who demonstrates a commitment to continuous learning, adapting to new concepts with perseverance. Overall, her comprehensive skill set makes her a valuable asset in the field of mathematics and higher education.

 

Conclusion 🔍 

In conclusion, Anjaly Anand stands out as a commendable candidate for the Best Scholar Award due to her strong academic background, extensive teaching experience, and significant contributions to research in mathematics. Her Master’s degree from NIT Calicut, coupled with her role as an Assistant Professor, showcases her commitment to education and her ability to engage students effectively. Anjaly’s published works reflect a focus on practical applications of mathematical concepts, demonstrating her proficiency in numerical techniques and scientific computing. While she has established a solid foundation, further expanding her research portfolio and engaging in collaborative efforts could enhance her impact in the academic community. Additionally, her involvement in organizing academic events highlights her leadership skills and dedication to fostering a vibrant educational environment. Overall, Anjaly’s passion for mathematics, commitment to teaching, and scholarly contributions make her a deserving candidate for recognition as a top scholar in her field.

Publication Top Notes
  • Application of a finite element method variant in nonconvex domains to parabolic problems
    • Authors: Anand, A., Pramanick, T., Das, A.
    • Year: 2024
    • Citations: 0
    • Journal: Finite Elements in Analysis and Design
    • Volume: 242
    • Article Number: 104265
  • ADAPTATION OF THE COMPOSITE FINITE ELEMENT FRAMEWORK FOR SEMILINEAR PARABOLIC PROBLEMS
    • Authors: Anand, A., Pramanick, T.
    • Year: 2024
    • Citations: 1
    • Journal: Journal of Numerical Analysis and Approximation Theory
    • Volume: 53
    • Issue: 1