Naeem Faraz | Mathematics | Best Faculty Award

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Prof. Naeem Faraz | Mathematics | Best Faculty Award

Professor at University of Shanghai for Science and Technology, China

Dr. Naeem Faraz is a distinguished academic and researcher with dual Ph.D.s in Computational Mathematics and Textile Engineering, specializing in interdisciplinary research that bridges mathematics, engineering, and data science. As a Foreign Expert at Donghua University, Shanghai, China, he has supervised numerous undergraduate and graduate theses while delivering lectures to students from 60+ nationalities. His contributions extend to developing innovative courses and conducting research in applied mathematics, fluid dynamics, and textile engineering. With over 75 publications in high-impact factor journals, his research has significantly contributed to nanotechnology, heat transfer, and statistical modeling. In addition to his academic contributions, Dr. Faraz has actively participated in national and international research projects, showcasing his expertise in computational tools and data analytics. His career is marked by an unwavering commitment to advancing scientific knowledge and mentoring the next generation of researchers, making him a highly respected figure in his field.

Professional Profile

Education

Dr. Naeem Faraz holds an impressive academic background with dual doctorates in Computational Mathematics from Shanghai University, China, and Textile Engineering from Donghua University, China. His Ph.D. research in mathematics focused on viscoelastic flows of PTT fluids, while his doctoral work in textile engineering explored bubble electrospinning for fabricating nanoporous fibers and their mathematical analysis. Before obtaining his Ph.D.s, he earned an M.Phil. in Fluid Mechanics from Quaid-i-Azam University, Islamabad, Pakistan, where he analyzed the thin film flow of an unsteady shrinking sheet through a porous medium. Additionally, he completed an M.Sc. in Applied Mathematics and a B.Sc. in Applied Mathematics & Statistics from leading Pakistani institutions. His educational foundation in mathematics, statistics, and engineering has provided him with the analytical and computational expertise to engage in interdisciplinary research across multiple scientific domains.

Professional Experience

Dr. Naeem Faraz has built a robust academic and research career, serving as a Foreign Expert at Donghua University, China, since 2016. In this role, he has been actively involved in lecturing, supervising research projects, and mentoring students. Prior to this, he completed a Post-Doctoral Fellowship at the Institute of Mathematics and Mechanics, Shanghai University, where he conducted advanced research in computational mathematics. His responsibilities extend beyond teaching, including course development, research supervision, and participation in professional conferences. Dr. Faraz has also contributed to various national and international research collaborations, particularly in applied mathematics, textile engineering, and data analytics. His diverse expertise enables him to work across disciplines, integrating fluid mechanics, nanotechnology, and computational simulations to address complex scientific problems. He has also been involved in training junior lecturers and teaching assistants, ensuring the growth of the academic community through knowledge sharing and mentorship.

Research Interests

Dr. Naeem Faraz’s research spans multiple disciplines, including fluid mechanics, heat transfer, nanotechnology, and data science. He specializes in natural convection and conduction analysis, investigating the effects of nanofluids on heat transfer and the behavior of phase change materials in thermal energy systems. His expertise in fiber fabrication and nanotechnology extends to electrospinning of nanoporous fibers and their mechanical properties. Additionally, he focuses on fluid dynamics, particularly the behavior of Newtonian and non-Newtonian fluids, using computational simulations and mathematical modeling. His work in data science and statistical analysis integrates machine learning techniques to predict and optimize fluid behaviors and thermal efficiency, making his research highly relevant to modern scientific advancements. His interdisciplinary approach enables him to bridge gaps between engineering, mathematics, and computational sciences, further enhancing the applicability of his research.

Awards and Honors

Dr. Naeem Faraz has received numerous accolades throughout his academic career, recognizing his contributions to research and education. His Web of Science Citation Index (SCI) exceeds 1254, with an h-index of 28, reflecting his significant impact in the scientific community. His research achievements have earned him a Cumulative Impact Factor exceeding 125, highlighting the quality of his published work. He has been awarded the Best International Student Award, along with multiple merit-based scholarships during his M.Phil. studies. He also secured CSC and SGS scholarships during his doctoral studies, emphasizing his academic excellence. Additionally, Dr. Faraz ranked first in his college during both B.Sc. and F.Sc., demonstrating his consistent dedication to academic success. His international reputation, scholarly impact, and academic excellence make him a leading researcher in his field, further cementing his legacy as an outstanding educator and scientist.

Conclusion

Dr. Naeem Faraz is a highly qualified, well-published, and interdisciplinary researcher with a strong record in academia. His contributions in research, teaching, and international collaborations make him a very strong contender for the Research for Best Faculty Award. With further leadership roles and independent funding, he could further solidify his standing as an elite academic researcher.

Publications Top Notes

  1. Review on fiber morphology obtained by bubble electrospinning and blown bubble spinning

    • Authors: JH He, HY Kong, RR Yang, H Dou, N Faraz, L Wang, C Feng

    • Year: 2012

    • Citations: 199

  2. The effects of variable viscosity and thermal conductivity on a thin film flow over a shrinking/stretching sheet

    • Authors: Y Khan, Q Wu, N Faraz, A Yildirim

    • Year: 2011

    • Citations: 187

  3. An effective modification of the homotopy perturbation method for MHD viscous flow over a stretching sheet

    • Authors: M Fathizadeh, M Madani, Y Khan, N Faraz, A Yıldırım, S Tutkun

    • Year: 2013

    • Citations: 117

  4. Fractional variational iteration method via modified Riemann–Liouville derivative

    • Authors: N Faraz, Y Khan, H Jafari, A Yildirim, M Madani

    • Year: 2011

    • Citations: 92

  5. Application of modified Laplace decomposition method for solving boundary layer equation

    • Authors: Y Khan, N Faraz

    • Year: 2011

    • Citations: 86

  6. Fractional variational iteration method for fractional initial-boundary value problems arising in the application of nonlinear science

    • Authors: Y Khan, N Faraz, A Yildirim, Q Wu

    • Year: 2011

    • Citations: 83

  7. Exp‐function method for solitary and periodic solutions of Fitzhugh‐Nagumo equation

    • Authors: S Tauseef Mohyud‐Din, Y Khan, N Faraz, A Yıldırım

    • Year: 2012

    • Citations: 76

  8. An auxiliary parameter method using Adomian polynomials and Laplace transformation for nonlinear differential equations

    • Authors: Y Khan, H Vazquez-Leal, N Faraz

    • Year: 2013

    • Citations: 69

  9. Numerical solution of logistic differential equations by using the Laplace decomposition method

    • Authors: S Islam, Y Khan, N Faraz, F Austin

    • Year: 2010

    • Citations: 69

  10. New soliton solutions of the generalized Zakharov equations using He’s variational approach

  • Authors: Y Khan, N Faraz, A Yildirim

  • Year: 2011

  • Citations: 67

  1. Analytical approach to two-dimensional viscous flow with a shrinking sheet via variational iteration algorithm-II

  • Authors: N Faraz, Y Khan, A Yildirim

  • Year: 2011

  • Citations: 63

  1. A new fractional analytical approach via a modified Riemann–Liouville derivative

  • Authors: Y Khan, Q Wu, N Faraz, A Yildirim, M Madani

  • Year: 2012

  • Citations: 61

  1. A coupling method of homotopy perturbation and Laplace transformation for fractional models

  • Authors: Y Khan, N Faraz, S Kumar, A Yildirim

  • Year: 2012

  • Citations: 52

  1. Thin film flow of a second grade fluid over a stretching/shrinking sheet with variable temperature-dependent viscosity

  • Authors: S Nadeem, N Faraz

  • Year: 2010

  • Citations: 51

  1. A series solution of the long porous slider

  • Authors: Y Khan, N Faraz, A Yildirim, Q Wu

  • Year: 2011

  • Citations: 47

  1. A new approach to differential difference equations

  • Authors: Y Khan, N Faraz

  • Year: 2010

  • Citations: 46

  1. Analytical solution of electrically conducted rotating flow of a second grade fluid over a shrinking surface

  • Authors: N Faraz, Y Khan

  • Year: 2011

  • Citations: 43

  1. Heat transfer analysis on the magnetohydrodynamic flow of a non-Newtonian fluid in the presence of thermal radiation: an analytic solution

  • Authors: Y Khan, Q Wu, N Faraz, A Yıldırım, ST Mohyud-Din

  • Year: 2012

  • Citations: 38

  1. A new approach to Van der Pol’s oscillator problem

  • Authors: Y Khan, M Madani, A Yildirim, MA Abdou, N Faraz

  • Year: 2011

  • Citations: 37

  1. An efficient new perturbative Laplace method for space-time fractional telegraph equations

  • Authors: Y Khan, J Diblík, N Faraz, Z Šmarda

  • Year: 2012

  • Citations: 36

 

Jicheng Yu | Fractional Calculus and Applied Analysis | Best Researcher Award

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Dr Jicheng Yu | Fractional Calculus and Applied Analysis | Best Researcher Award

Dr Jicheng Yu , Wuhan University of Science and Technology , China

Jicheng Yu is an accomplished researcher at Wuhan University of Science and Technology, specializing in applied mathematics and fractional calculus. He has made significant contributions to the understanding of fractional partial differential equations, with a focus on symmetry analysis and exact solutions. His work is recognized internationally, reflected in his publication record and citation metrics. Yu’s dedication to advancing mathematical methods is evident in his collaborative research and continuous exploration of new mathematical challenges.

Publication profile

Orcid

Strengths for the Award

Jicheng Yu demonstrates exceptional research capabilities with a strong focus on applied mathematics, particularly in the analysis of fractional differential equations. His publication metrics, including an H-index of 48 and a sum of 48 citations, reflect significant recognition in the field. He has authored numerous articles in reputable journals, showcasing his ability to contribute innovative solutions to complex mathematical problems. Furthermore, his collaborative work with peers, such as Yuqiang Feng, underscores his team-oriented approach and commitment to advancing knowledge in mathematical applications.

Areas for Improvement

While Jicheng Yu has an impressive publication record, expanding his research into interdisciplinary applications could enhance the impact of his work. Engaging in outreach activities or workshops could help disseminate his findings to broader audiences, including industries that rely on mathematical modeling. Additionally, pursuing grant opportunities for larger collaborative projects could further amplify his research initiatives.

Education

Jicheng Yu holds a Ph.D. in Mathematics from a prestigious university, where he focused on nonlinear analysis and differential equations. His academic journey began with a Bachelor’s degree in Mathematics, followed by a Master’s degree that further honed his skills in applied mathematics. His strong educational foundation has provided him with the analytical skills necessary for his current research endeavors, enabling him to tackle complex problems in mathematical physics and financial engineering.

Experience

With over a decade of experience in mathematical research, Jicheng Yu has collaborated with various researchers and institutions. He has contributed to numerous academic journals, enhancing his profile as a leading expert in his field. His work includes developing new methods for solving fractional equations and applying mathematical theories to real-world problems. Yu’s commitment to education is reflected in his mentoring of students and active participation in academic conferences, fostering a collaborative environment for emerging researchers.

Research Focus

Jicheng Yu’s research primarily revolves around the analysis of fractional differential equations and their applications. He investigates Lie symmetries, conservation laws, and optimal systems within the framework of fractional calculus. His work also extends to mathematical modeling in finance, particularly in the development of fractional Black-Scholes equations. Yu’s research aims to deepen the understanding of mathematical structures in both theoretical and applied contexts, bridging gaps between pure mathematics and practical applications.

Publication Top Notes

  • Lie symmetries, conservation laws, optimal system and power series solutions of (3+1)-dimensional fractional Zakharov-Kuznetsov equation 📄
  • Group classification for one type of space-time fractional quasilinear parabolic equation 📚
  • Group classification of time fractional Black-Scholes equation with time-dependent coefficients 📈
  • Lie symmetries, exact solutions and conservation laws of time fractional Boussinesq-Burgers system in ocean waves 🌊
  • Symmetry analysis, optimal system, conservation laws and exact solutions of time-fractional diffusion-type equation 🔍
  • Invariant analysis of the time-fractional (2+1)-dimensional dissipative long-wave system 📐
  • Lie symmetry analysis of (2+1)-dimensional time fractional Kadomtsev-Petviashvili equation 🌌
  • Lie symmetry, exact solutions and conservation laws of time fractional Black–Scholes equation derived by the fractional Brownian motion 💰
  • On the generalized time fractional reaction–diffusion equation: Lie symmetries, exact solutions and conservation laws ⚙️
  • Lie Symmetry Analysis, Power Series Solutions and Conservation Laws of (2+1)-Dimensional Time Fractional Modified Bogoyavlenskii–Schiff Equations 🔗
  • Lie symmetry, exact solutions and conservation laws of bi-fractional Black–Scholes equation derived by the fractional G-Brownian motion 📊
  • LIE SYMMETRY, EXACT SOLUTIONS AND CONSERVATION LAWS OF SOME FRACTIONAL PARTIAL DIFFERENTIAL EQUATIONS 📘
  • Lie group method for constructing integrating factors of first-order ordinary differential equations 🛠️
  • Lie symmetry analysis and exact solutions of space-time fractional cubic Schrödinger equation 💡
  • Lie symmetry analysis of time fractional Burgers equation, Korteweg-de Vries equation and generalized reaction-diffusion equation with delays 🔬
  • Lie symmetry analysis, power series solutions and conservation laws of time fractional coupled Boussinesq-Whitham-Broer-Kaup equations 📏
  • Lie symmetry analysis and exact solutions of time fractional Black–Scholes equation 📝
  • Lie symmetry analysis of fractional ordinary differential equation with neutral delay 📉

Conclusion:

Jicheng Yu’s outstanding contributions to the field of applied mathematics, along with his proven track record of impactful research, position him as a strong candidate for the Best Researcher Award. His dedication to exploring and solving intricate mathematical challenges not only benefits the academic community but also has the potential to influence various applied sectors. Encouraging his further engagement in interdisciplinary projects could greatly enhance the reach and applicability of his research.

 

Dennis Peralta | Mathematics | Best Researcher Award

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Prof. Dennis Peralta | Mathematics | Best Researcher Award

Tecnico de Investigación, UNEMI, Ecuador

Dennis Alfredo Peralta Gamboa is an accomplished Research Technician at the Universidad Estatal de Milagro in Ecuador, specializing in data science and telecommunications. With a strong background in electrical and electronic engineering, Dennis has developed expertise in machine learning, data analysis, and statistical modeling, contributing significantly to his university’s research initiatives. 🌐👨‍💼

Publication Profile

ORCID

Strengths for the Award:

  • Diverse Expertise: Dennis has demonstrated strong technical skills in various fields, including electronic engineering with a specialization in telecommunications, and an impressive focus on data science and machine learning. His extensive training in statistical modeling, data analysis, and automation indicates a strong ability to conduct high-quality, impactful research.
  • Continuous Learning: He has completed numerous certifications and training programs in machine learning, data science, and statistical models. This shows his commitment to staying updated with the latest technologies and methodologies, which is crucial for innovative research.
  • Published Work: His accepted publication in a Scopus Q2 journal is a notable achievement. The research article focuses on user experience with chatbots in higher education, demonstrating his contribution to solving real-world problems through research.
  • Industry and Academic Experience: Dennis has professional experience in both industry and academia, including his current role as a Research Technician at the Universidad Estatal de Milagro. This combination of skills is beneficial for practical application and innovative academic research.

Areas for Improvement:

  • Focus on Research Output: While Dennis has several training courses and certifications, his research output in terms of peer-reviewed journal articles could be expanded. More publications in indexed journals with high impact factors would strengthen his research portfolio.
  • Collaborative Research: There is limited mention of collaborative research projects. Engaging in international collaborations or participating in multidisciplinary projects can elevate his research profile and contribute to a broader range of impactful outcomes.
  • Leadership in Research: Taking on leadership roles in research projects, such as principal investigator positions or directing research initiatives, would highlight his ability to lead teams and manage research outcomes.

Education

Dennis holds a Master’s degree in Applied Data Science from Iexe Universidad and a Bachelor’s degree in Electronic Engineering with a specialization in Telecommunications from Escuela Superior Politécnica del Litoral (2020). His education also includes a high school diploma in Physics and Mathematics (2008). 🎓📊

Experience

With a diverse professional background, Dennis has held several technical roles, including positions as an electrical maintenance assistant at PAPELERA NACIONAL SOCIEDAD ANÓNIMA and a teaching technician at Universidad Estatal de Milagro. He has also worked as a maintenance technician for municipal organizations. Currently, he serves as a Research Technician in the Faculty of Research at Universidad Estatal de Milagro. 🛠️💼

Research Focus

Dennis’s research primarily revolves around data science, machine learning, and statistical modeling. He has a keen interest in the application of these technologies for educational enhancement, including the use of chatbots to improve user experience in higher education. 📊🤖

Awards and Honors

Dennis has not listed any specific awards or honors, but his acceptance of a publication in a Scopus-indexed Q2 journal highlights his growing contributions to the academic community. 🏅🎖️

Publications (Top Notes)

“Unveiling the Core Constructs: A Statistical Approach to Evaluating User Experience with Chatbots in Higher Education (A Case Study from a University in Ecuador)”
Published in Journal of Infrastructure, Policy and Development | Indexed in Scopus, Q2 (Accepted) | Cited by

Conclusion:

Dennis Alfredo Peralta Gamboa has a solid foundation in data science, machine learning, and electronic engineering. His technical knowledge and commitment to continuous learning make him a promising candidate for the Best Researcher Award. However, expanding his research output, engaging in more collaborations, and stepping into leadership roles could further enhance his chances. With these improvements, he has the potential to become a leading researcher in his field.

 

Herbert Batte | Mathematics | Best Research Article Award

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Dr.  Herbert Batte | Mathematics | Best Research Article Award

Dr. Herbert Batte, Makerere University , Uganda

 

Dr. Herbert Batte is a distinguished mathematician recognized for his contributions to the field of mathematics, particularly in applied mathematics and mathematical modeling. He has authored numerous research articles that address complex mathematical problems, earning him the Best Research Article Award for his innovative approach and impactful findings. With a strong commitment to education and mentorship, Batte inspires students and colleagues alike through his dedication to advancing mathematical knowledge and its applications in real-world scenarios.

 

Publication Profile

Scopus Profile

 

Education 

Dr. Herbert Batte is a dedicated mathematician currently pursuing his PhD in Mathematics at the University of the Witwatersrand, focusing on linear recurrence sequences and Diophantine equations. He is also a PhD candidate at Makerere University, where he studies solutions to exponential Diophantine equations involving Lucas sequences, perfect powers, and repdigits. Dr. Batte holds an MSc in Mathematics from Makerere University, where he achieved a CGPA of 4.52, researching non-linear Diophantine equations. His academic journey began with a BSc (Honours) in Education (Physics, Mathematics), also from Makerere, graduating with a CGPA of 4.60. Dr. Batte has developed strong analytical, problem-solving, and data interpretation skills, along with proficiency in various mathematical and computational tools. His educational background includes advanced coursework in algebraic topology, measure theory, and probability theory, equipping him with a comprehensive understanding of both theoretical and applied mathematics.

Experience

Dr. Herbert Batte has valuable teaching experience in various educational settings. He began as an intern at Buddo Secondary School in May 2017, followed by an internship at Makerere College School from May to August 2018. These early roles allowed him to develop his pedagogical skills and gain hands-on experience in classroom management. From August 2018 to 2022, Dr. Batte served as a lecturer at Ndejje University in Kampala, where he taught mathematics courses, mentored students, and contributed to curriculum development. His experience in these roles has strengthened his commitment to education and his ability to inspire the next generation of mathematicians.

Awards and Scholarships

Dr. Herbert Batte has received several prestigious awards and scholarships throughout his academic journey. He was awarded the NRF Fund for 2024–2025, which provides full funding for his PhD studies in Mathematics at the University of the Witwatersrand in Johannesburg, South Africa. In January 2024, he also received funding from CoeMASS to support his research at the same institution. Prior to these achievements, he was awarded fully funded scholarships from the EAUMP to pursue his PhD studies at Makerere University from 2022 to 2025, as well as for his MSc studies from 2019 to 2021. These scholarships reflect his academic excellence and commitment to advancing mathematical research.

Skills

Dr. Herbert Batte possesses a solid foundation in computer skills, with intermediate proficiency in programming languages and mathematical software, including C, MATLAB, LaTeX, SageMath, Python, Mathematica, and R. He is also adept at using various operating systems, such as Windows, Linux, and Ubuntu Desktop, as well as the Microsoft Office suite. This diverse skill set enables him to effectively analyze data, conduct mathematical modeling, and present research findings in a clear and professional manner.

Publication Top Notes

Phalaagae, P., Zungeru, A.M., Sigweni, B., Batte, H., & Eyobu, O.S. (2024). An energy efficient authentication scheme for cluster-based wireless IoT sensor networks. Scientific African, 25, e02287.

Batte, H., & Luca, F. (2024). Solutions to a Pillai-Type Equation Involving Tribonacci Numbers and S-Units. Mediterranean Journal of Mathematics, 21(5), 159.

Batte, H., & Luca, F. (2024). On the largest prime factor of the k–generalized Lucas numbers. Boletin de la Sociedad Matematica Mexicana, 30(2), 33.

Batte, H., Ddamulira, M., Kasozi, J., & Luca, F. (2024). On the exponential diophantine equation Unx + Un+1x = Um. Ramanujan Journal, 64(1), 153–184.

Batte, H., Ddamulira, M., Kasozi, J., & Luca, F. (2022). On the multiplicity in Pillai’s problem with Fibonacci numbers and powers of a fixed prime. Glasnik Matematicki, 57(2), 185–201.

Batte, H., Chalebgwa, T.P., & Ddamulira, M. (2022). Perrin numbers that are concatenations of two repdigits. Arabian Journal of Mathematics, 11(3), 469–478.

 

 

Ankit Kumar | Mathematics | Best Researcher Award

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Assist Prof Dr. Ankit Kumar | Mathematics | Best Researcher Award

Assistant Professor, Graphic Era Hill University, Dehradun, India

Dr. Ankit Kumar is an Assistant Professor at Graphic Era Hill University, Dehradun, India, with a specialization in controllability and differential equations. His research primarily focuses on nonlinear and fractional order differential systems. With a Ph.D. from the National Institute of Technology Hamirpur, he has contributed significantly to mathematical sciences through various research publications and conference presentations. 🌟📚

Publication Profile

Google Scholar

Strengths for the Award:

  1. Research Contributions: Dr. Kumar’s research primarily focuses on controllability and differential equations, including fractional and impulsive systems. His publications in high-impact journals such as Mathematical Methods in the Applied Sciences and The Journal of Mathematical Analysis and Applications reflect significant contributions to his field.
  2. Volume of Publications: He has authored and co-authored 16 papers, many of which are in reputable journals, indicating a robust research output.
  3. Academic and Research Experience: With a Ph.D. from a well-regarded institute and experience as a Senior Research Scholar, Dr. Kumar has demonstrated a solid academic and research background. His experience as a reviewer for multiple national and international journals further underscores his engagement with the research community.
  4. Awards and Achievements: His achievement of qualifying for CSIR-UGC NET (JRF) with a high rank and his role in supervising Ph.D. students highlight his academic prowess and leadership in research.
  5. Conference Presentations: Presenting at multiple international conferences shows his active involvement in disseminating his research and engaging with the broader scientific community.

Areas for Improvement:

  1. Broader Impact and Collaboration: While Dr. Kumar’s research is technically robust, increasing interdisciplinary collaborations and expanding the scope of his research could enhance its impact and visibility.
  2. Research Funding and Grants: Securing more research funding or grants could further support and expand his research endeavors, leading to more comprehensive studies and higher visibility.
  3. International Collaborations: Engaging in collaborative research with international institutions could enhance the global reach and recognition of his work.
  4. Diversity in Research Topics: Exploring a wider range of research topics or applications could diversify his contributions and appeal to a broader audience.

 

Education:

Dr. Kumar completed his Ph.D. in Mathematics from the National Institute of Technology Hamirpur in 2022, with his thesis titled “Controllability of Integer and Non-integer Ordered Differential Systems.” He holds an M.Sc. in Mathematics from Hemvati Nandan Bahuguna Garhwal University (2014) and a B.Sc. in P.C.M. from the same institution (2012). 🎓📘

Experience:

Dr. Kumar has been serving as an Assistant Professor at Graphic Era Hill University since September 2022. Prior to this, he was a Senior Research Scholar (2019-2022) and a Junior Research Scholar (2017-2019) at the National Institute of Technology Hamirpur. He also worked as a Lecturer at Ramanand Institute of Pharmacy, Management & Technology for a brief period in 2014-2015. 🧑‍🏫📈

Research Focus:

Dr. Kumar’s research focuses on the controllability of differential equations in abstract spaces, including fractional differential equations. His work explores existence and controllability results for various nonlinear systems, contributing valuable insights to the field of mathematical analysis. 🔍📊

Awards and Honours:

Dr. Kumar qualified the CSIR-UGC NET (JRF) in Mathematical Sciences with an impressive All India Rank of 69 in 2016. 🏅🎖️

Publications Top Notes:

Vandana Yadav, Ramesh Kumar Vats, Ankit Kumar, “New exploration on approximate controllability of nondensely defined Hilfer neutral-type delayed nonlinear differential inclusion system with non-instantaneous impulse,” The Journal of Mathematical Analysis and Applications, (Online Published).

Vandana Yadav, Ramesh Kumar Vats, Ankit Kumar, “New exploration on the existence and null controllability of fractional Hilfer stochastic systems driven by Poisson jumps and fractional Brownian motion with non-instantaneous impulse,” International Journal of Dynamics and Control, 2024.

Om Prakash Kumar Sharma, Ramesh Kumar Vats, Ankit Kumar, “New Exploration on Approximate Controllability of Fractional Neutral-type Delay Stochastic Differential Inclusions with Non-instantaneous Impulse,” Mathematical Methods in the Applied Sciences, 47(6), 5161-5190, 2024.

Kamaljeet, Ankit Kumar, Ramesh Kumar Vats, “Approximate controllability of neutral Hilfer fractional differential equations of Sobolev-type in a Hilbert Space,” Mathematical Control and Related Fields, 14(2), 493-512, 2024.

Parveen Kumar, Ramesh Kumar Vats, Ankit Kumar, “Result on Controllability of Hilfer Fractional Integro-differential Equations of Sobolev-Type with Non-Instantaneous Impulses,” Filomat, 37(29), 10033–10053, 2024.

Conclusion:

Dr. Ankit Kumar is a strong candidate for the “Best Research Award” due to his extensive research contributions, impressive publication record, and active involvement in the research community. His focus on controllability and differential equations is both niche and significant, demonstrating a deep understanding of complex mathematical systems. To further strengthen his candidacy, enhancing international collaborations and expanding the scope of his research could be beneficial. Overall, Dr. Kumar’s achievements and research impact make him a notable contender for the award.

 

JOSE DANIEL LOPEZ BARRIENTOS | Mathematics | Best Researcher Award

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Dr. JOSE DANIEL LOPEZ BARRIENTOS | Mathematics | Best Researcher Award

Profesor-Investigador, Universidad Anahuac México, Mexico

José Daniel López Barrientos is a distinguished researcher and educator in the fields of Basic Mathematics, Stochastic Control, and Game Theory. Currently, he is a part-time researcher at the Bachelor’s Programme in Actuarial Sciences at the Benemérita Universidad Autónoma de Puebla and a full-time researcher and teacher at the Universidad Anáhuac México. With a career marked by notable academic and research achievements, López Barrientos has significantly contributed to the fields of probability and risk theory.

Profile

Orcid

Research for “Best Researcher Award”

Strengths for the Award

José Daniel López Barrientos stands out as a prominent figure in the fields of Stochastic Control, Game Theory, and Probability and Risk Theory. His significant contributions to mathematical research and actuarial sciences are evidenced by his extensive academic and professional accomplishments:

Educational Background: López Barrientos holds a PhD in Mathematics from the Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, which underscores his solid foundation in advanced mathematical concepts.

Research Excellence: His publications in high-impact journals such as Results in Control and Optimization and Cybernetics and Systems demonstrate his deep expertise and innovative approach in stochastic processes and game theory. Noteworthy recent works include studies on variance optimality in stochastic differential games and robust statistical estimation.

Professional Experience: With a rich background as a researcher and educator, he has held positions at renowned institutions including Universidad Anáhuac México and Saint Petersburg State University. His roles span from part-time teaching to research coordination and academic leadership, reflecting his versatility and commitment to advancing the field.

Grants and Honors: López Barrientos has received notable recognition such as membership in the Mexican Academy of Sciences and a distinguished award from the Consejo Mexiquense de Ciencia y Tecnología. These accolades are a testament to his influence and contributions to actuarial science and mathematics.

Areas for Improvement

While López Barrientos’ achievements are impressive, there are areas where further growth could enhance his already distinguished profile:

Broader Interdisciplinary Collaboration: Engaging in interdisciplinary research could open new avenues for innovation, integrating his expertise in stochastic control and game theory with emerging fields such as data science or artificial intelligence.

Increased Public Engagement: Greater involvement in public outreach and science communication could amplify the impact of his research. By translating complex mathematical concepts into accessible formats, he could broaden his influence beyond academic circles.

Expanded Research Funding: Securing additional research grants from international bodies could support more extensive projects and collaborative efforts, further advancing his research agenda and fostering new discoveries.

Education 🎓

José Daniel López Barrientos earned his PhD in Mathematics from the Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional in 2012. He also holds a Master of Sciences in Mathematics from the same institution, completed in 2006, and a Bachelor’s degree in Actuarial Sciences from Universidad Anáhuac México, achieved in 2003. Additionally, he passed the Society of Actuaries’ exam on “Mathematical Foundations of Actuarial Science” in 2002.

Experience 💼

López Barrientos has a rich professional background that includes roles as:

  • Academic Coordinator of the Masters in Risks at Universidad Anáhuac México (2022).
  • Post-doctoral Fellow at Saint Petersburg State University (2017-2018) and Université de Montréal (2015-2016).
  • Full-time Teacher and Researcher at Universidad La Salle (2011-2014) and Chair of the Actuarial Sciences undergraduate program.
  • Part-time Teacher at various institutions including Universidad Nacional Autónoma de México and Universidad Autónoma del Estado de México.
  • Software Developer at Bufete Matemático Actuarial (2002-2004).

Research Interest 🔍

José Daniel López Barrientos focuses on Basic Mathematics, Stochastic Control and Game Theory, and Probability and Risk Theory. His research explores complex mathematical models and their applications, particularly in stochastic processes and optimal control problems.

Awards 🏆

  • 2024: Member of the Mexican Academy of Sciences.
  • 2023: Second place in the “Fundadores” prize by the Asociación Mexicana de Actuarios.
  • 2023: Distinguished by the Consejo Mexiquense de Ciencia y Tecnología for his paper on robust statistical estimation.

Publications Top Notes📚

López-Barrientos, José Daniel; Plata Gallegos, Humberto (2024). Una nueva aproximación a la constitución de una reserva actuarial de arriba p’abajo Actuarios Trabajando, 15: 1-24.

López-Barrientos, José Daniel (2023). Robust Statistic Estimation in Constrained Optimal Control Problems of Pollution Accumulation (Part II: Markovian Switchings) Mathematics, DOI: 10.3390/math11041045.

López-Barrientos, José Daniel (2023). Constrained Stochastic Differential Games with Markovian Switchings and Additive Structure: The Total Expected Payoff Results in Control and Optimization, DOI: 10.1016/j.rico.2023.100288.

López-Barrientos, José Daniel (2023). On the Discrete-Time Minimum Principle in Multiple-Mode Systems Cybernetics and Systems, DOI: 10.1080/01969722.2023.2175492.

López-Barrientos, José Daniel (2023). Robust Statistic Estimation in Constrained Optimal Control Problems of Pollution Accumulation (Part II: Markovian Switchings) Mathematics, DOI: 10.3390/math11041045.

Conclusion

José Daniel López Barrientos is a highly qualified candidate for the “Best Researcher Award,” distinguished by his groundbreaking research, extensive academic experience, and notable honors. His contributions to stochastic control, game theory, and risk theory have significantly impacted the field, demonstrating a commitment to excellence in both research and education. Addressing areas for further growth, such as interdisciplinary collaboration and public engagement, could enhance his already impressive career and broaden his influence.