Nitiraj V. Kulkarni | Mathematics | Young Scientist Award

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Mr. Nitiraj Kulkarni | Mathematics | Young Scientist Award

Student Researcher at Vishwakarma University, Pune, India

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

Professional Profile

Education

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

Professional Experience

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

Research Interests

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

Research Skills

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

Awards and Honors

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

Conclusion

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

Publications Top Notes

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

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

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

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

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

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

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

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

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

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

Gayrat Urazboev | Mathematics | Best Scholar Award

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Prof. Gayrat Urazboev | Mathematics | Best Scholar Award

Professor at Urgench State University, Uzbekistan

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

Professional Profile

Education

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

Professional Experience

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

Research Interests

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

Research Skills

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

Awards and Honors

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

Conclusion

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

Publication Top Notes

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

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

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

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

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

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

 

 

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

 

 

Okechukwu Obulezi | Mathematics | Best Researcher Award

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Dr. Okechukwu Obulezi | Mathematics | Best Researcher Award

Lecturer at Nnamdi Azikiwe University, Awka, Nigeria.

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

Profile:

Education

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

Professional Experiences 

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

Research Interests

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

Research skills 

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

Award And Recognition 

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

Conclusion

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

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

 

Rizwan Gul | Mathematics | Best Researcher Award

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Dr. Rizwan Gul | Mathematics | Best Researcher Award

Research Scholar at Quaid-i-Azam University, Islamabad, Pakistan.

Rizwan Gul is a Ph.D. candidate in Pure Mathematics at Quaid-i-Azam University, Islamabad, Pakistan. He has an M.Phil. and a BS in Mathematics from the same institution and Kohat University of Science & Technology, respectively. His research interests include fuzzy algebraic structures, decision-making theory, soft and rough sets, and their applications. Rizwan has published extensively in ISI-listed journals with high impact factors, focusing on advanced mathematical models such as (α, β)-multi-granulation bipolar fuzzified rough sets and their applications in decision-making. He has also contributed to the field of algebraic cryptography. His work has been recognized with several awards, including a merit scholarship and a distinction award. Proficient in multiple programming and mathematical tools, Rizwan is actively involved in reviewing for international journals and has presented his research at various conferences. His contributions to mathematics demonstrate a strong foundation and innovative approach in his field.

Profile

Education🎓

Rizwan Gul has a strong academic background in Mathematics, culminating in a Ph.D. in Pure Mathematics from Quaid-i-Azam University, Islamabad, which he is expected to complete between 2020 and 2024. His doctoral research focuses on advanced topics such as (α, β)-Multi-Granulation Bipolar Fuzzified Rough Sets and their applications in decision-making. Prior to his Ph.D., Rizwan earned an M.Phil. in Pure Mathematics from the same institution between 2018 and 2020, where he conducted significant research on Modified Rough Bipolar Soft Sets. His academic journey began with a Bachelor of Science in Mathematics from Kohat University of Science & Technology, Kohat, completed between 2013 and 2017. During his undergraduate studies, he developed a strong foundation in mathematical theories, culminating in his thesis on Quivers and Path Algebras of Finite Connected Acyclic Quivers. His consistent academic excellence is evident through the distinctions and merit scholarships he received throughout his studies.

Professional Experience 🏢

Rizwan Gul is currently associated with the Department of Mathematics at Quaid-i-Azam University, Islamabad, where he is pursuing his Ph.D. in Pure Mathematics. His academic journey at Quaid-i-Azam University also includes completing an M.Phil. in Pure Mathematics, during which he contributed significantly to research in fuzzy algebraic structures, decision-making theory, and soft sets. Rizwan has an impressive portfolio of research publications, many of which are listed in high-impact ISI journals. His expertise extends to refereeing and reviewing for reputable journals like the Journal of Intelligent & Fuzzy Systems and Computational and Applied Mathematics. Throughout his academic career, he has delivered seminars and participated in workshops and conferences that further enriched his knowledge and research skills. Rizwan’s professional experience is marked by a strong foundation in mathematical theory and its applications, particularly in the areas of fuzzy sets and their hybrid structures.

Research Interests 🔬

Rizwan Gul’s research interests lie in the field of pure mathematics, with a particular focus on fuzzy algebraic structures, decision-making theory, and their applications. His work explores fuzzy sets and their generalizations, such as rough sets, soft sets, and their hybrid algebraic structures. Rizwan is deeply engaged in the study of aggregation operators and algebraic cryptography, contributing to the development of advanced mathematical models that address complex decision-making problems. His research includes the application of these mathematical frameworks to multi-criteria group decision-making, providing innovative solutions to challenges in various fields. Through his work, Rizwan aims to push the boundaries of mathematical theory while offering practical tools for real-world problems, particularly in the realm of decision-making under uncertainty. His contributions are published in high-impact journals, reflecting the significance and relevance of his research in the mathematical community.

Award and Honors

Rizwan Gul has demonstrated exceptional academic and research prowess, earning several accolades throughout his career. Notably, he received a Merit Scholarship during his BS studies at Kohat University of Science & Technology (KUST), Pakistan, in recognition of his outstanding performance in the final four semesters. His academic excellence also earned him a Silver Medal distinction from KUST, further solidifying his status as a top-performing student. In 2016, he was awarded a merit-based laptop under the Prime Minister’s Laptop Scheme, highlighting his academic achievements at the national level. These honors underscore his dedication to his studies and his contributions to the field of mathematics, particularly in areas such as fuzzy algebraic structures and decision-making theories. Rizwan Gul’s consistent recognition for academic excellence is a testament to his hard work and his potential for making significant contributions to mathematical research.

Research Skills

Rizwan Gul possesses a robust set of research skills, particularly in the field of Pure Mathematics, with a focus on fuzzy algebraic structures, decision-making theory, and their hybrid applications. His expertise spans various advanced mathematical concepts, including rough sets, soft sets, and their generalizations. He has demonstrated proficiency in mathematical modeling, especially in the development and application of bipolar fuzzified rough sets in decision-making. Rizwan is adept at using computational tools such as AMS-LaTeX, Maple, Matlab, and Mathematica, which enhances his ability to solve complex mathematical problems and present his findings effectively. His research contributions are well-documented in numerous ISI-listed journals with significant impact factors, reflecting his ability to conduct high-quality research. Moreover, his experience in reviewing and refereeing for reputable journals further underscores his analytical skills and deep understanding of contemporary mathematical research trends. These skills collectively position him as a capable and innovative researcher in his field.

Conclusion

Rizwan Gul is a strong candidate for the Research for Best Researcher Award, with a robust academic background, significant research contributions, and a strong publication record in high-impact journals. His research is highly specialized and has potential applications in decision-making and cryptography, which are important fields in both theoretical and applied mathematics. To further enhance his profile, Rizwan should consider increasing his international presence, expanding the interdisciplinary applications of his research, and participating in teaching or mentoring roles. Overall, his current achievements make him a competitive nominee for this award.

Publications Top Notes 📚
  • Modified Rough Bipolar Soft Sets
    • Authors: M Shabir, R Gul
    • Journal: Journal of Intelligent & Fuzzy Systems
    • Year: 2020
    • Citations: 21
    • Volume: 39 (3), Pages 4259-4283
  • Roughness of a Set by -Indiscernibility of Bipolar Fuzzy Relation
    • Authors: R Gul, M Shabir
    • Journal: Computational and Applied Mathematics
    • Year: 2020
    • Citations: 20
    • Volume: 39 (3), Page 160
  • Medical Decision-Making Techniques Based on Bipolar Soft Information
    • Authors: N Malik, M Shabir, TM Al-shami, R Gul, A Mhemdi
    • Journal: AIMS Math
    • Year: 2023
    • Citations: 8
    • Volume: 8 (8), Pages 18185-18205
  • A Novel Approach Toward Roughness of Bipolar Soft Sets and Their Applications in MCGDM
    • Authors: R Gul, M Shabir, M Naz, M Aslam
    • Journal: IEEE Access
    • Year: 2021
    • Citations: 8
    • Volume: 9, Pages 135102-135120
  • Rough Bipolar Fuzzy Ideals in Semigroups
    • Authors: N Malik, M Shabir, TM Al-shami, R Gul, M Arar, M Hosny
    • Journal: Complex & Intelligent Systems
    • Year: 2023
    • Citations: 7
    • Volume: 9 (6), Pages 7197-7212
  • Multigranulation Modified Rough Bipolar Soft Sets and Their Applications in Decision-Making
    • Authors: R Gul, M Shabir, M Aslam, S Naz
    • Journal: IEEE Access
    • Year: 2022
    • Citations: 7
    • Volume: 10, Pages 46936-46962
  • A Comprehensive Study on -Bipolar Fuzzified Rough Set Model Based on Bipolar Fuzzy Preference Relation and Corresponding Decision-Making Applications
    • Authors: R Gul, M Shabir, M Naeem
    • Journal: Computational and Applied Mathematics
    • Year: 2023
    • Citations: 6
    • Volume: 42 (7), Page 310
  • A Study on Soft Multi-Granulation Rough Sets and Their Applications
    • Authors: S Ayub, W Mahmood, M Shabir, ANA Koam, R Gul
    • Journal: IEEE Access
    • Year: 2022
    • Citations: 5
    • Volume: 10, Pages 115541-115554
  • Another Approach to Linear Diophantine Fuzzy Rough Sets on Two Universes and Its Application Towards Decision-Making Problems
    • Authors: S Ayub, M Shabir, R Gul
    • Journal: Physica Scripta
    • Year: 2023
    • Citations: 4
    • Volume: 98 (10), Article 105240
  • A Novel Decision-Making Technique Based on T-Rough Bipolar Fuzzy Sets
    • Authors: N Malik, M Shabir, TM Al-shami, R Gul, M Arar
    • Journal: Journal of Mathematical and Computational Science
    • Year: 2024
    • Citations: 3
    • Volume: 33, Pages 275-289

 

Lingyun Huang | Fuzzy Mathematics | Best Researcher Award

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Prof Dr. Lingyun Huang | Fuzzy Mathematics | Best Researcher Award

Director at Kunming University of Science and Technology, China.

Dr. Huang Lingyun, an Associate Professor at Kunming University of Science and Technology, specializes in flotation theory and the comprehensive utilization of mineral resources. With a Ph.D. in mineral processing engineering, she has led and participated in over 28 significant research projects, including National Natural Science Foundation of China and provincial initiatives. Her work focuses on the green and efficient utilization of tailings resources and the development of innovative flotation agents. Dr. Huang has published over 50 papers, with more than 20 indexed in SCI and EI, and holds several patents related to flotation and mineral processing technologies. Her research extends beyond China, with international collaborations, including a visiting scholar role at CSIRO in Australia. Recognized with the first prize in the Science and Technology Progress Award by the China Nonferrous Metals Industry Association, Dr. Huang’s contributions are pivotal to advancing sustainable mineral resource management.

Profile
Education

Dr. Huang Lingyun has a solid academic foundation in mineral processing and chemical engineering. She earned her Ph.D. in Mineral Processing Engineering from Kunming University of Science and Technology, where her research focused on advanced flotation processes and the comprehensive utilization of mineral resources. Prior to her doctoral studies, she completed a Master’s degree in Applied Chemistry at Tsinghua University, one of China’s top universities. She also holds a Master’s degree in Chemical Engineering from Wuhan University of Engineering, further strengthening her expertise in chemical processes and materials science. Dr. Huang’s educational background is complemented by her role as a visiting scholar at the Australian Federal Science and Technology Commission’s Mineral Processing Institute, where she expanded her research knowledge in an international setting. Her diverse and rigorous educational journey has equipped her with the skills and knowledge necessary to make significant contributions to the field of mineral processing and sustainable resource utilization.

Professional Experience

Dr. Huang Lingyun, an Associate Professor at Kunming University of Science and Technology, has a distinguished professional background in mineral processing engineering. She holds a Doctorate in Engineering from Kunming University of Science and Technology, following her Master’s degrees from Tsinghua University and Wuhan University of Engineering. Dr. Huang has been actively involved in research and teaching since 2013, focusing on flotation theory and the comprehensive utilization of tailings resources. Her role includes leading and participating in over 28 research projects, including key national and provincial initiatives. She has also served as a visiting scholar at the Australian Federal Science and Industry Research Organization. Dr. Huang’s expertise extends to managing university-enterprise cooperative projects and contributing to significant advancements in green flotation agents and mineral resource utilization. Her leadership and technical skills are pivotal in advancing the field of mineral processing.

Research Interest

Dr. Huang Lingyun’s research interests center on the green and efficient utilization of mineral resources, with a specific focus on flotation theory and the comprehensive use of tailings secondary resources. Her work explores innovative flotation agents and techniques aimed at enhancing the recovery and sustainability of mineral processing operations. Dr. Huang is particularly interested in the development of eco-friendly flotation agents and strategies for the effective management of mineral waste. Her research includes the application of nano-bubble technology to improve flotation efficiency and the study of complex polymetallic mineral resources. Additionally, she investigates methods for reducing environmental impact through advanced waste management and water quality control in mining processes. Dr. Huang’s expertise extends to mineral processing engineering and the design of sustainable technologies for the mining industry, reflecting her commitment to advancing both scientific knowledge and practical solutions in the field.

Research Skills

Dr. Huang Lingyun possesses a diverse range of advanced research skills that significantly contribute to her field. Her expertise in flotation theory and mineral processing is underscored by her proficiency in designing and developing green flotation agents and optimizing the comprehensive utilization of tailings resources. Dr. Huang’s technical skills include a deep understanding of flotation mechanisms, mineral resource utilization, and the application of nano-bubble technology for enhanced flotation efficiency. She excels in managing and executing large-scale research projects, demonstrated by her leadership in several National Natural Science Foundation and provincial projects. Her ability to collaborate with industry partners and international institutions highlights her strong networking and project management skills. Dr. Huang’s contributions are also reflected in her extensive publication record, which includes over 50 research papers and several patents, showcasing her capacity to translate complex research into practical, innovative solutions.

Awards and Recognition

Dr. Huang has been recognized for her outstanding contributions to the field of mineral processing. She has received the first prize in the Science and Technology Progress Award from the China Nonferrous Metals Industry Association. Her leadership and guidance have also been acknowledged through the awards won by her students in various competitions, reflecting her commitment to nurturing the next generation of researchers.

Conclusion

In conclusion, Dr. Huang Lingyun is a highly qualified candidate for the Best Researcher Award, given her extensive research contributions, geographic impact, collaborative efforts, and applied research in the field of mineral processing. Her work on environmental health, particularly in waste management and water quality, further enhances her suitability for this award. Dr. Huang’s achievements and recognition in the field underscore her dedication and impact, making her a deserving candidate for this prestigious recognition.

Publications Top Notes

  1. Synthesis and utilization of a novel amidoxime collector for the flotation separation of cuprite from calcite
    • Authors: Li, Q., Huang, L., Hu, B., Zhou, J., Xu, Y.
    • Year: 2025
  2. Synthesis and utilization of an amidoxime surfactant as a collector in the flotation separation of azurite from quartz and calcite
    • Authors: Huang, L., Xu, Y., Hu, B., Zhou, J., Song, J.
    • Year: 2024
  3. Flotation separation of magnesite from dolomite with gellan gum as depressant and its depression mechanism
    • Authors: Wang, L., Li, Z., Zhang, H., Zhu, Y., Li, F.
    • Year: 2024
  4. An insight into fine cassiterite recovery: A novel surfactant-phenylpropylhydroxamic acid and its adsorption mechanism
    • Authors: Zhang, M., Huang, L., Hu, B., Wu, D., Tong, X.
    • Year: 2024
    • Citations: 3
  5. Precise assessment of flood risk and accurate allocation of disaster relief funds through a fuzzy set approach
    • Authors: Wang, Y., Yu, X., Yi, L., Shi, W., Huang, L.
    • Year: 2024
  6. Enhanced flotation of smithsonite from calcite based on the synergistic action of carboxylated chitosan and sodium carbonate
    • Authors: Liu, W., Zhao, L., Liu, W., Mao, Y., Ding, S.
    • Year: 2023
    • Citations: 4
  7. Arsenic Removal and Iron Recovery from Arsenic-Bearing Iron Ores by Calcification-Magnetic Roasting and Magnetic Separation Process
    • Authors: Dai, M., Zhou, Y., Xiao, Q., Tong, X., Chun, T.
    • Year: 2023
  8. A new perspective on copper oxide flotation: Synthesis and mechanism study of a surfactant for sulfide-free flotation
    • Authors: Zhang, M., Huang, L., Sun, X., Li, Y., Lan, Z.
    • Year: 2023
    • Citations: 3
  9. Inverse analysis of radiative properties of internal medium and surface for cylindrical system using CSM-CGM approach
    • Authors: Zhang, C., Li, B.-W., Zhou, R.-R., Li, P.-X., Huang, L.-Y.
    • Year: 2023
    • Citations: 2
  10. A review on Rayleigh-Bénard convection influenced by the complicating factors
    • Authors: Song, J.-J., Li, P.-X., Chen, L., Li, B.-W., Huang, L.-Y.
    • Year: 2023
    • Citations: 7