Suleyman Cetinkaya | Mathematics | Best Researcher Award

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

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

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

Professional Profile​

Education

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

Professional Experience

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

Research Interests

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

Research Skills

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

Awards and Honors

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

Conclusion

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

Publications Top Notes​

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

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

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

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

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

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

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

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

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

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

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

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

 

Ming-Qiang Bai | Mathematics | Best Researcher Award

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Prof. Ming-Qiang Bai | Mathematics | Best Researcher Award

Professor from School of Mathematical Sciences, Sichuan Normal University, China

Professor Ming-Qiang Bai is a distinguished researcher in the field of quantum information and computation. Currently serving as the Vice-President and a Professor at Sichuan Normal University, he has contributed extensively to theoretical and applied mathematics. With a strong academic background and a career spanning over two decades, he has published numerous research papers in high-impact journals. His expertise in quantum communication, automata theory, and formal languages has earned him recognition in academic circles. In addition to research, he plays an active role in reviewing and editing academic journals, further demonstrating his influence in the field. His leadership, scholarly contributions, and dedication to advancing mathematical sciences make him a strong candidate for prestigious research awards.

Professional Profile

Education

Professor Bai pursued his education at Sichuan Normal University, where he obtained all his degrees. He earned his Ph.D. in 2014, following a Master of Science degree in 2001 and a Bachelor of Science degree in 1998. His academic excellence was recognized early, as he graduated with distinction and received the Outstanding Graduation Award in Sichuan Province. His educational journey laid the foundation for his research in quantum computing and mathematical sciences, equipping him with the necessary expertise to contribute significantly to these fields. His strong academic background and early recognition set him apart as a dedicated scholar committed to advancing scientific knowledge.

Professional Experience

Professor Bai’s professional career is deeply rooted in academia, primarily at Sichuan Normal University. He began as an Assistant Professor in 2001 and steadily advanced through the ranks, becoming a Lecturer in 2003, an Associate Professor in 2009, and a full Professor in 2014. In 2020, he was appointed Vice-President, reflecting his leadership capabilities and contributions to the institution. His international exposure includes a visiting professorship at Tsinghua University, where he expanded his research collaborations. His extensive teaching and administrative experience, combined with his research expertise, highlight his significant role in shaping the academic and scientific landscape in his field.

Research Interests

Professor Bai’s research interests encompass various domains of quantum computing and mathematical sciences. He specializes in quantum information, quantum computation, and formal languages, focusing on developing advanced theoretical frameworks and practical applications. His work in the theory of automata and uncertainty has led to groundbreaking insights into the computational and logical structures underlying quantum mechanics. Through his research, he aims to enhance secure quantum communication methods and explore new dimensions of computation beyond classical paradigms. His contributions have broadened the understanding of quantum systems and their applications in real-world scenarios.

Research Skills

Professor Bai possesses a diverse set of research skills, enabling him to conduct cutting-edge studies in quantum computation and mathematical modeling. He has expertise in developing quantum algorithms, analyzing quantum entanglement, and working with automata theory. His skills also include formal language processing and uncertainty theory, which are crucial in computational logic and artificial intelligence. Additionally, his experience as a journal editor and reviewer demonstrates his proficiency in critically evaluating scientific research. His ability to integrate interdisciplinary approaches further strengthens his research capabilities, making him a valuable asset in advancing quantum and mathematical sciences.

Awards and Honors

Throughout his career, Professor Bai has received numerous awards and honors recognizing his academic excellence and research contributions. He was awarded the Outstanding Graduation Award in Sichuan Province, marking the beginning of his distinguished journey. His leadership roles, including serving as Vice-President of Sichuan Normal University, further attest to his academic impact. Additionally, his active participation as a reviewer for prestigious journals, including the American Mathematical Society and Quantum Information Processing, reflects his standing in the global research community. These accolades highlight his influence and commitment to the advancement of quantum computing and mathematical sciences.

Conclusion

Professor Ming-Qiang Bai is a leading researcher whose contributions to quantum information and mathematical sciences have significantly impacted academia. His extensive research output, leadership roles, and dedication to fostering scientific inquiry make him a deserving candidate for the Best Researcher Award. With a solid educational foundation, a distinguished career, and a strong publication record, he continues to push the boundaries of quantum computation and secure communication. His expertise, combined with his passion for advancing theoretical and applied mathematics, ensures that his work will remain influential in shaping the future of quantum technology and computational theory.

Publications Top Notes

  1. Title: Optimization and design for multi-valued quantum comparator circuits
    Authors: T. Zhang, Tingyan; Y. Li, Yi; S. Lu, Sijun; P. Jiang, Pengheng; J. Liu, Jiawei
    Year: 2025

  2. Title: Blind quantum computation with fewer quantum and delegated cost of client
    Authors: Y. Yan, Yuzhan; Z. Yang, Zhen; G. Wu, Guangyang; M. Bai, Mingqiang; Z. Mo, Zhiwen
    Year: 2025

  3. Title: Quantum positive matrix-positive matrix multiplication algorithm
    Authors: J. Yang, Jinchuan; S. He, Shiping; M. Bai, Mingqiang; Z. Mo, Zhiwen
    Year: 2024

  4. Title: Efficient Arbitrated Quantum Digital Signature with Multi-Receiver Verification
    Authors: S. Xiong, Siyu; B. Tang, Bangying; H. Han, Hui; Z. Mo, Zhiwen; B. Liu, Bo
    Year: 2024

  5. Title: Half-blind quantum computation with operation teleportation
    Authors: Z. Yang, Zhen; G. Wu, Guangyang; M. Bai, Mingqiang
    Year: 2024
    Citations: 1

  6. Title: Improved Measurement-Based Blind Quantum Computation Protocol
    Authors: Y. Yan, Yuzhan; Z. Yang, Zhen; Y. Luo, Yuanmao; M. Bai, Mingqiang; Z. Mo, Zhiwen
    Year: 2024

 

Nitiraj V. Kulkarni | Mathematics | Young Scientist Award

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Mr. Nitiraj Kulkarni | Mathematics | Young Scientist Award

Student Researcher at Vishwakarma University, Pune, India

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

Professional Profile

Education

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

Professional Experience

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

Research Interests

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

Research Skills

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

Awards and Honors

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

Conclusion

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

Publications Top Notes

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

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

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

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

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

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

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

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

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

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

Nacira Agram | Mathematics | Best Researcher Award

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

Mathematics Department at KTH Royal, Algeria

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

Professional Profile

Education

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

Professional Experience

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

Research Interests

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

Research Skills

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

Awards and Honors

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

Conclusion

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

Publication Top Notes

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

    • Authors: Nacira Agram, Bernt Karsten Øksendal, Jan Rems
    • Year: 2024
    • Citations: 1

  2. “Optimal stopping of conditional McKean–Vlasov jump diffusions”

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

Elkhateeb Aly | Mathematics | Best Researcher Award

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

Faculty of Science at Jazan University, Saudi Arabia

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

Professional Profile

Education:

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

Professional Experience:

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

Research Interests:

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

Research Skills:

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

Awards and Honors:

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

Conclusion:

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

Publication Top Notes

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

 

 

Cong Gao | Mathematics | Best Researcher Award

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Dr. Cong Gao | Mathematics | Best Researcher Award

Associate Research Fellow at Harbin Engineering University, China

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

Professional Profile

Education

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

Professional Experience

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

Research Interests

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

Research Skills

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

Awards and Honors

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

Conclusion

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

Publication Top Notes

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

 

Lakshmi Narayan Mishral | Mathematics | Best Researcher Award

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Dr . Lakshmi Narayan Mishral | Mathematics | Best Researcher Award

Assistant Professor Senior Grade 2, Vellore Institute of Technology, Vellore, Tamil Nadu, Vellore, India.

Dr. Lakshmi Narayan Mishra is a distinguished scholar in the field of mathematics, currently serving as a faculty member at the Vellore Institute of Technology, India. With a Ph.D. focused on nonlinear integral equations, his research spans various areas, including neural networks, fractional calculus, and optimization. Dr. Mishra has published extensively, contributing to numerous peer-reviewed journals and focusing on topics such as existence theorems and approximation theory. He has supervised multiple Ph.D. candidates, demonstrating a commitment to fostering the next generation of researchers. His work is recognized for its practical applications in areas like dynamic programming and signal processing. Despite his significant achievements, there are opportunities for Dr. Mishra to enhance his interdisciplinary collaboration and increase his visibility in global academic forums. Overall, his contributions to mathematics and dedication to research and education position him as a strong candidate for the Best Scholar Award.

 

Publication Profile👤

Current Position

Dr. Lakshmi Narayan Mishra currently serves as a faculty member in the Department of Mathematics at the Vellore Institute of Technology (VIT) in Vellore, Tamil Nadu, India. Since May 2018, he has been involved in both teaching and research, contributing significantly to various areas of mathematics, particularly in neural networks, fractional calculus, and nonlinear analysis. His extensive research background includes a Ph.D. focused on nonlinear integral equations, and he has authored numerous publications in reputable journals. Dr. Mishra is dedicated to advancing mathematical knowledge and mentoring students, supervising several Ph.D. candidates in their research pursuits. He is actively engaged in academic activities and is well-respected in the mathematical community for his expertise and contributions to the field. His commitment to research excellence and education underscores his role as a valuable asset to VIT and the broader academic community.

 

Previous Experience

Dr. Lakshmi Narayan Mishra has a diverse academic background and extensive experience in teaching and research. He began his career as a lecturer at Mody University of Science and Technology, where he taught undergraduate and postgraduate students. Subsequently, he served as an Assistant Professor at Lovely Professional University, engaging in both teaching and research activities. Since May 2018, Dr. Mishra has been a faculty member at the Vellore Institute of Technology, contributing to the Department of Mathematics. In addition to his teaching roles, he has been involved in supervising several Ph.D. candidates, guiding them in their research projects. His previous experience includes working as a research scholar at the National Institute of Technology, Silchar, where he deepened his expertise in nonlinear analysis, approximation theory, and fractional calculus. Dr. Mishra’s broad academic exposure equips him with valuable insights into the evolving landscape of mathematical research and education.

 

Educational Background

Dr. Lakshmi Narayan Mishra has an impressive educational background in mathematics. He completed his Bachelor of Science in 2010 and Master of Science in Mathematics in 2012, both from Dr. Ram Manohar Lohia Avadh University, Ayodhya. He then pursued his Ph.D., focusing on nonlinear integral equations and their applications, which he completed in February 2017 at the National Institute of Technology, Silchar. His doctoral research, titled “On existence and behavior of solutions to some nonlinear integral equations with applications,” showcases his deep understanding of advanced mathematical concepts. Dr. Mishra’s academic journey reflects his dedication to the field, reinforced by various research interests, including neural networks, fractional calculus, and nonlinear analysis. His educational qualifications provide a strong foundation for his ongoing contributions to mathematical research and teaching, positioning him as a prominent figure in his area of expertise.

 

Research Directions

Dr. Lakshmi Narayan Mishra’s research primarily focuses on various advanced topics in mathematics, including neural networks, fractional calculus, and nonlinear integral equations. His work explores the existence and behavior of solutions to nonlinear integral equations, emphasizing applications in fields like dynamic programming and optimization. He also investigates fixed-point theory and approximation theory, contributing significantly to the understanding of numerical solutions in fractional differential equations. Additionally, Dr. Mishra’s research extends to areas such as measure of noncompactness, Banach algebra, and operator theory, which play crucial roles in the analysis of functional equations. His interdisciplinary approach not only enhances theoretical frameworks but also facilitates practical applications in signal processing, image analysis, and optimization problems, showcasing the versatility and relevance of his work in contemporary mathematical research. Through his publications and ongoing Ph.D. supervision, Dr. Mishra continues to inspire and guide emerging scholars in the field.

 

Professional Contributions

Dr. Lakshmi Narayan Mishra has made significant professional contributions in the field of mathematics, particularly in areas such as neural networks, fractional calculus, and nonlinear integral equations. He has published extensively in peer-reviewed journals, with a focus on the existence and behavior of solutions to complex mathematical equations, which has advanced understanding in both theoretical and applied mathematics. Dr. Mishra’s work in approximation theory and functional analysis demonstrates his commitment to tackling challenging problems, leading to innovative solutions that have practical applications in various fields, including dynamic programming and signal processing. As a dedicated educator, he has supervised multiple Ph.D. candidates, fostering the next generation of mathematicians. His involvement in academic collaborations, along with his active participation in conferences and seminars, further underscores his commitment to the mathematical community. Overall, Dr. Mishra’s contributions reflect a profound impact on both research and education in mathematics.

Conclusion

Dr. Lakshmi Narayan Mishra is a commendable candidate for the Best Scholar Award, showcasing a robust academic and research background in mathematics. His impressive educational qualifications, culminating in a Ph.D. focused on nonlinear integral equations, reflect his expertise in a diverse range of specializations, including neural networks and fractional calculus. Dr. Mishra’s substantial publication record, featuring numerous articles in reputable journals, demonstrates his commitment to advancing mathematical research. His effective supervision of Ph.D. candidates further illustrates his dedication to nurturing the next generation of scholars. While he exhibits significant strengths in research productivity and mentorship, there are opportunities for improvement, such as enhancing interdisciplinary collaborations and seeking external funding for research projects. In conclusion, Dr. Mishra’s scholarly contributions and potential for growth make him a deserving candidate for the Best Scholar Award, recognizing his valuable impact on the academic community and the field of mathematics.

 

Publication Top Notes
    1. Attributes of residual neural networks for modeling fractional differential equations
      • Authors: Agarwal, S., Mishra, L.N.
      • Year: 2024
      • Citations: 0
    2. A comprehensive analysis for weakly singular nonlinear functional Volterra integral equations using discretization techniques
      • Authors: Bhat, I.A., Mishra, L.N., Mishra, V.N., Abdel-Aty, M., Qasymeh, M.
      • Year: 2024
      • Citations: 2
    3. A comparative study of discretization techniques for augmented Urysohn type nonlinear functional Volterra integral equations and their convergence analysis
      • Authors: Bhat, I.A., Mishra, L.N.
      • Year: 2024
      • Citations: 6
    4. Convergence analysis of modified Szász operators associated with Hermite polynomials
      • Authors: Kumar, A., Verma, A., Rathour, L., Mishra, L.N., Mishra, V.N.
      • Year: 2024
      • Citations: 2
    5. Precision and efficiency of an interpolation approach to weakly singular integral equations
      • Authors: Bhat, I.A., Mishra, L.N., Mishra, V.N., Tunç, C., Tunç, O.
      • Year: 2024
      • Citations: 9
    6. Approximation on bivariate of Durrmeyer operators based on beta function
      • Authors: Raiz, M., Rajawat, R.S., Mishra, L.N., Mishra, V.N.
      • Year: 2024
      • Citations: 4
    7. Analysis of efficient discretization technique for nonlinear integral equations of Hammerstein type
      • Authors: Bhat, I.A., Mishra, L.N., Mishra, V.N., Tunc, C.
      • Year: 2024
      • Citations: 0
    8. Some Approximation Properties Of A Certain Summation Integral Type Operator
      • Authors: Maindola, S., Gairola, A.R., Rathour, L., Mishra, L.N.
      • Year: 2024
      • Citations: 0
    9. Tracing roots and linkages: Harnessing graph theory and social network analysis in genealogical research, based on the kin naming system
      • Authors: Joram, A., Singh, K.R., Mishra, L.N., Rathour, L., Vanav Kumar, A.
      • Year: 2024
      • Citations: 1
    10. Approximation of Periodic Functions by Wavelet Fourier Series
      • Authors: Karanjgaokar, V., Rahatgaonkar, S., Rathour, L., Mishra, L.N., Mishra, V.N.
      • Year: 2024
      • Citations: 0

Sneha Agarwal | Mathematics | Best Researcher Award

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Ms. Sneha Agarwal | Mathematics | Best Researcher Award

Ph.D, Vellore institute of technology, Vellore, India.

Sneha Agarwal, Ph.D., is a promising researcher with a robust academic background, having earned her Ph.D. from VIT University and an M.Sc. in Mathematics from Gurukul Kangri Vishwavidyalaya. She has made notable contributions to the field through her publications on residual neural networks and fractional differential equations, showcasing her expertise in advanced mathematical concepts. Proficient in Python and MATLAB, Sneha demonstrates strong technical skills that are vital for contemporary research. Her strong command of English and Hindi facilitates effective communication in diverse settings. Additionally, qualifying for the GATE exam in Mathematics further highlights her capabilities. While she has a solid foundation, expanding her research topics and engaging more in interdisciplinary collaborations could enhance her academic profile. Overall, Sneha is a strong candidate for the Best Researcher Award, with significant potential for future contributions to the field of mathematics.

Publication Profile👤

Current Position

Sneha Agarwal is currently positioned as a researcher with a Ph.D. from VIT University, Vellore, where she has demonstrated exceptional expertise in mathematics, particularly in the field of fractional differential equations and neural networks. Her research contributions include published journal articles and presentations at international conferences, showcasing her ability to tackle complex mathematical problems and collaborate effectively with other scholars. In addition to her research, Sneha possesses strong technical skills in programming languages such as Python and MATLAB, which she employs to enhance her research methodologies. With her qualifications, including GATE qualification in Mathematics, she is well-equipped for academic and research roles. Sneha’s language proficiency in English and Hindi further enables her to communicate her findings effectively in diverse academic contexts. As she continues to advance her career, her focus on innovative research and collaborative opportunities positions her as a promising contributor to the field of mathematics.

Previous Experience

Sneha Agarwal has a solid foundation in both academic and practical aspects of mathematics and research. She completed her Ph.D. at VIT University, where she focused on advanced mathematical concepts, particularly in modeling fractional differential equations using residual neural networks. During her M.Sc. at Gurukul Kangri Vishwavidyalaya, she excelled academically, achieving an impressive CGPA of 8.61. Her educational journey began with a B.Sc. in Physics, Chemistry, and Mathematics from M.J.P. Rohilkhand University, where she graduated with a commendable percentage. Alongside her studies, Sneha has gained valuable experience in academic research and teaching, demonstrating her ability to convey complex concepts effectively. Her proficiency in programming languages like Python and MATLAB, coupled with her skills in LATEX typesetting, equips her to tackle sophisticated mathematical problems. Additionally, she has been recognized for her academic excellence, notably qualifying for the GATE exam in Mathematics conducted by IIT Kanpur.

Educational Background

Sneha Agarwal has a strong educational background that underpins her research expertise in mathematics. She earned her Ph.D. from VIT University, Vellore, in 2023, where she focused on advanced topics in mathematics, demonstrating her commitment to academic excellence. Prior to her doctoral studies, she completed her Master of Science in Mathematics at Gurukul Kangri Vishwavidyalaya, Haridwar, in 2021, achieving a commendable CGPA of 8.61. This solid foundation in mathematical principles was further reinforced during her Bachelor of Science degree at M.J.P. Rohilkhand University, Bareilly, where she studied Physics, Chemistry, and Mathematics, graduating in 2019 with a percentage of 66.89. Through her educational journey, Sneha has developed a deep understanding of mathematical concepts, preparing her for rigorous research and contributions to the field. Her academic achievements reflect her dedication and capability, making her a promising researcher in mathematics.

Research Directions

Sneha Agarwal’s research directions primarily focus on the application of advanced mathematical techniques in the realm of fractional differential equations and neural networks. Her work explores the characteristics and attributes of residual neural networks, aiming to enhance their effectiveness in modeling complex mathematical phenomena. By investigating the intersection of machine learning and applied mathematics, she seeks to develop innovative solutions for real-world problems. Furthermore, Sneha is interested in expanding her research to include interdisciplinary applications, such as data science and computational mathematics, to address challenges in diverse fields like engineering and physics. She aims to collaborate with experts from different domains, which could lead to novel methodologies and applications of her findings. As she continues to build on her expertise, Sneha’s future research directions are likely to contribute significantly to both theoretical advancements and practical implementations in mathematics and related disciplines.

Professional Contributions

Sneha Agarwal, Ph.D., has made significant professional contributions in the field of mathematics, particularly through her research on residual neural networks and fractional differential equations. Her recent publications, including journal articles and conference proceedings, reflect her deep understanding of complex mathematical concepts and their practical applications. Sneha’s work demonstrates her ability to blend theoretical knowledge with computational techniques, showcasing her proficiency in programming languages such as Python and MATLAB. Additionally, she is skilled in LATEX typesetting, enabling her to present her research findings effectively. Beyond her academic achievements, Sneha has qualified for the GATE exam in Mathematics, underscoring her strong foundational knowledge. Her commitment to academic research, coupled with her teaching experience, positions her as a valuable contributor to both the academic community and the broader field of mathematics. Overall, Sneha’s contributions not only advance mathematical research but also inspire future generations of scholars in the discipline.

Conclusion

Sneha Agarwal emerges as a compelling candidate for the Best Researcher Award, showcasing a strong educational foundation with a recent Ph.D. from VIT University and notable achievements in her research. Her contributions to the field of mathematics, particularly through her work on residual neural networks and fractional differential equations, reflect her ability to tackle complex problems and engage with advanced topics. Proficiency in programming languages like Python and MATLAB, along with her skills in LATEX typesetting, further enhance her research capabilities. While her focus on specific research areas is commendable, expanding her topics of interest and increasing her participation in conferences could bolster her profile. Additionally, engaging in community outreach can demonstrate her commitment to applying research for societal benefit. Overall, Sneha’s dedication, technical expertise, and potential for impactful contributions position her as a deserving recipient of the Best Researcher Award.

Publication Top Notes
  • Attributes of residual neural networks for modeling fractional differential equations
    1. Journal: Heliyon
    2. Year: 2024
    3. DOI: 10.1016/j.heliyon.2024.e38332
    4. EID: 2-s2.0-85204805580
    5. ISSN: 2405-8440
    6. Authors: S. Agarwal and L.N. Mishra

 

 

HABIBA | Agricultural and Biological Sciences | Best Researcher Award

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Dr.HABIBA | Agricultural and Biological Sciences | Best Researcher Award

RESEACRCH SCHOLAR,UNIVERSITY OF LUCKNOW, INDIA.

Dr. Habiba Khan is a dedicated researcher in the field of zoology, specializing in cancer biology, with a focus on the effects of phytochemicals on prostate cancer. She has seven years of research experience and recently completed her Ph.D. at the University of Lucknow. Her dissertation, “Effect of promising phytochemicals on proliferation and apoptosis of androgen-sensitive and androgen-insensitive prostate cancer cell lines,” showcases her expertise in this critical area of study. Dr. Khan has a robust skill set that includes cell and tissue culture, molecular biology techniques, and biochemistry assays. She has received multiple accolades, including best oral presentation and best research paper awards in 2024. In addition to her research accomplishments, she serves as a visiting faculty member, highlighting her commitment to education and mentorship. With numerous publications in reputable journals, Dr. Khan is poised to make significant contributions to cancer research and the scientific community.

 

Publication Profile👤

Current Position

Dr. Habiba Khan is currently a visiting faculty member in the Department of Zoology at the Institute of Advanced Molecular Genetics & Infectious Diseases, University of Lucknow. With a specialization in cancer biology, she is finalizing her Ph.D. degree, focusing on the effects of phytochemicals on prostate cancer cell lines. Her extensive research experience spans over seven years, during which she has developed a diverse skill set, including proficiency in cell culture, molecular biology techniques, and in vivo studies. Dr. Khan has contributed significantly to the field through multiple publications in reputable journals and has been recognized with several awards for her presentations at conferences. Her role as a visiting faculty member demonstrates her commitment to education and mentorship, where she shares her expertise with students pursuing advanced degrees in molecular and human genetics. Dr. Khan is dedicated to advancing her research in cancer biology and making impactful contributions to the scientific community.

 

Previous Experience

Dr. Habiba Khan has accumulated over seven years of extensive research experience, primarily in the field of Zoology with a specialization in Cancer Biology. Her Ph.D. research, titled “Effect of promising phytochemicals on proliferation and apoptosis of androgen-sensitive and androgen-insensitive prostate cancer cell lines,” showcases her focus on critical health issues. In addition to her doctoral work, Dr. Khan served as a visiting faculty member in the M.Sc. Molecular & Human Genetics program at the Institute of Advanced Molecular Genetics & Infectious Diseases at the University of Lucknow. Her expertise spans various advanced techniques, including cell and tissue culture, molecular biology, biochemistry, and histological studies. Throughout her career, she has received multiple awards for her presentations and publications, highlighting her contributions to the field. Dr. Khan’s diverse skill set, coupled with her academic accomplishments, positions her as a valuable asset in both research and education within the scientific community.

 

Educational Background

Dr. Habiba Khan has a solid educational foundation in the field of zoology. She completed her Bachelor of Science (B.Sc.) in Zoology, Botany, and Chemistry from Isabella Thoburn College, Lucknow, in 2012. Building on this, she pursued a Master of Science (M.Sc.) in Zoology at the University of Lucknow, graduating in 2014. Dr. Khan is currently finalizing her Ph.D. in Zoology with a specialization in Cancer Biology, which she is expected to complete in 2024. Her doctoral research focuses on the effects of promising phytochemicals on the proliferation and apoptosis of both androgen-sensitive and androgen-insensitive prostate cancer cell lines. Throughout her academic journey, Dr. Khan has demonstrated a strong commitment to advancing her knowledge and skills, as evidenced by her successful participation in various competitive exams, including the Graduate Aptitude Test in Engineering (GATE) and the CSIR-UGC NET, which she qualified in 2017.

 

Research Directions

Dr. Habiba Khan’s research directions primarily focus on the intersection of cancer biology and phytochemistry, particularly in exploring the therapeutic potential of natural compounds against prostate cancer. Her work emphasizes the investigation of promising phytochemicals, such as 6-Gingerol, for their anti-cancerous and apoptotic properties, aimed at both androgen-sensitive and androgen-insensitive prostate cancer cell lines. Future research endeavors could expand into the molecular mechanisms underlying the efficacy of these compounds, as well as their potential synergistic effects when combined with conventional therapies. Additionally, Dr. Khan may explore the role of dietary polyphenols in cancer prevention, enhancing the understanding of their mechanisms of action. Incorporating advanced techniques like nanotechnology and molecular docking could facilitate the development of novel treatment strategies. Collaborative projects with interdisciplinary teams could also enhance her research scope, allowing for a comprehensive approach to cancer treatment and prevention, ultimately contributing to advancements in oncology and therapeutic methodologies.

 

Professional Contributions

Dr. Habiba Khan has made significant professional contributions to the field of cancer biology, particularly in the study of prostate cancer. With over seven years of research experience, her doctoral dissertation focused on the effects of phytochemicals on cancer cell proliferation and apoptosis, highlighting her commitment to exploring natural compounds for therapeutic use. Dr. Khan has authored several impactful publications in reputable journals, showcasing her findings on anti-cancer agents and molecular targets. Her work has earned her multiple awards, including recognition for the best oral presentation and research paper in 2024. In addition to her research, she has served as a visiting faculty member, imparting knowledge in molecular and human genetics to the next generation of scientists. Through her involvement in conferences and collaborations with esteemed institutions, Dr. Khan actively contributes to advancing cancer research, making her a notable figure in her field and an inspiration to aspiring researchers.

 

Conclusion

Dr. Habiba Khan stands out as an exemplary candidate for the Best Researcher Award due to her extensive background in cancer biology, particularly her focus on the effects of phytochemicals on prostate cancer cell lines. With over seven years of research experience, she has demonstrated proficiency in advanced techniques ranging from cell and tissue culture to molecular biology and biochemistry. Her impressive academic achievements, including multiple awards for her presentations and high-impact publications, reflect her commitment to excellence and innovation in her field. As a visiting faculty member, Dr. Habiba also showcases her ability to mentor and inspire the next generation of scientists. To further enhance her research profile, she could focus on expanding her publication scope, securing research funding, and increasing her outreach efforts. Overall, Dr. Khan’s remarkable contributions to science and her potential for future impact make her a deserving recipient of this prestigious award.

 

Publication Top Notes
    1. Structure based docking and biological evaluation towards exploring potential anti-cancerous and apoptotic activity of 6-Gingerol against human prostate carcinoma cells
      • Authors: Khan, H., Azad, I., Arif, Z., Kumar, S., Arshad, M.
      • Year: 2024
      • Citations: 2
    2. Synthesis, crystal structure analysis, computational modelling and evaluation of anti-cervical cancer activity of novel 1,5-dicyclooctyl thiocarbohydrazone
      • Authors: Shukla, S., Trivedi, P., Johnson, D., Banerjee, M., Bishnoi, A.
      • Year: 2024
      • Citations: 0
    3. Elucidating molecular and cellular targets and the antiprostate cancer potentials of promising phytochemicals: a review
      • Authors: Khan, H., Rais, J., Afzal, M., Arshad, M.
      • Year: 2023
      • Citations: 1
    4. The Role of Phytochemicals in Cancer Prevention: A Review with Emphasis on Baicalein, Fisetin, and Biochanin A
      • Authors: Rais, J., Khan, H., Arshad, M.
      • Year: 2023
      • Citations: 2