Haoyan Zhang | Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Haoyan Zhang | Mathematics | Best Researcher Award

Associate Professor from Civil Aviation University of China, China

Haoyan Zhang is an accomplished researcher and academic in the field of mathematical finance and stochastic analysis. He is currently serving as an Associate Professor at the College of Science, Civil Aviation University of China. With a solid academic foundation in applied mathematics and probability theory, Dr. Zhang has demonstrated a sustained commitment to high-quality research, teaching, and academic collaboration. His work spans key topics such as option and bond pricing, stochastic volatility, optimal stopping problems, and Markov processes—areas that are critical in both theoretical and applied finance. Over the years, he has published extensively in reputable international journals and contributed significantly to advancing knowledge in mathematical modeling and financial engineering. His overseas research experience at the Université de Lausanne has further enhanced his academic profile, adding an international dimension to his work. As a main participant in an NSFC-funded project and a consistent contributor to peer-reviewed literature, Dr. Zhang has established himself as a reliable and innovative researcher. With an upward trajectory in his academic career and a growing influence in his domain, he exemplifies the qualities befitting a nominee for the Best Researcher Award.

Professional Profile

Education

Haoyan Zhang began his academic journey with a Bachelor of Science degree in Applied Mathematics from Lanzhou University, China, graduating in 2012. This foundational training laid the groundwork for his pursuit of advanced mathematical research, particularly in fields involving applied probability and quantitative analysis. He then enrolled in the Ph.D. program in Probability and Mathematical Statistics at the School of Mathematical Science, Nankai University, one of China’s top institutions in mathematical sciences. From 2012 to 2018, he honed his expertise in areas such as stochastic processes, optimal stopping theory, and mathematical modeling in finance. His doctoral studies provided him with a rigorous understanding of Markov processes and stochastic differential equations—core techniques essential for solving complex problems in finance and economics. During this time, he also gained exposure to high-level academic collaborations and laid the foundation for his future publication record. His time as a Ph.D. candidate also included an overseas research visit to the Université de Lausanne, Switzerland, further broadening his academic perspective. Dr. Zhang’s educational background is a strong testament to his analytical rigor, technical proficiency, and sustained academic curiosity, positioning him well for a distinguished research career.

Professional Experience

Dr. Haoyan Zhang has accumulated significant academic experience in higher education and research institutions. He began his professional career in 2018 as a Lecturer at the College of Science, Civil Aviation University of China. In this role, he was involved in both teaching and research, contributing to the academic development of undergraduate and graduate students while advancing his own scholarly projects. Over the next four years, he built a strong foundation in academic publishing and collaborative research, particularly in the areas of financial mathematics and stochastic processes. In 2023, he was promoted to Associate Professor, a recognition of his academic excellence and growing contributions to the field. His promotion also reflects his increasing role in research leadership and academic mentorship. Beyond his domestic engagements, Dr. Zhang broadened his professional experience through an international research visit to the Faculty of Business and Economics at the Université de Lausanne, Switzerland, in 2016. This experience allowed him to collaborate with leading scholars in actuarial science and financial engineering. His professional trajectory illustrates a steady ascent marked by dedication, research productivity, and academic responsibility, making him a valuable member of the scholarly community.

Research Interest

Dr. Haoyan Zhang’s research interests lie primarily in financial engineering and applied mathematics, with a strong emphasis on stochastic analysis and probabilistic modeling. He has developed extensive expertise in option pricing and bond pricing, focusing on the mathematical structures that govern financial markets under uncertainty. His work frequently involves the application of stochastic differential equations, Markov processes, and optimal stopping theory to problems in quantitative finance. Dr. Zhang is particularly interested in modeling and analyzing skewed and perturbed diffusion processes, such as the skew-extended CIR and sticky Brownian motion models. These models are central to understanding complex financial instruments and market behaviors, including risk assessment and asset valuation. Another key area of interest is parameter estimation and hitting time problems, which have important implications for decision-making under uncertainty. Dr. Zhang’s research bridges the gap between theory and practice, offering valuable tools for real-world financial applications. Through consistent publication in reputable journals and collaboration with fellow researchers, he continues to explore the interplay between mathematical rigor and financial innovation. His work contributes to a deeper understanding of market dynamics and enhances the analytical frameworks available to economists, risk managers, and policy makers.

Research Skills

Dr. Haoyan Zhang possesses a robust set of research skills that make him a leading figure in the domain of mathematical finance and stochastic analysis. He is proficient in modeling complex financial systems using advanced tools such as stochastic differential equations, Markov processes, and skew diffusion models. His ability to derive and solve mathematical models has enabled him to address real-world problems in bond and option pricing with analytical precision. One of his key skills lies in applying optimal stopping theory to solve practical problems such as American option pricing and decision-making under uncertainty. He is also adept at developing numerical methods and approximation techniques, such as lattice-based models and Bayesian estimation, which enhance the computational feasibility of his theoretical models. Dr. Zhang has demonstrated strong capabilities in both independent and collaborative research environments, having co-authored numerous publications with researchers across institutions. His exposure to international academic settings, particularly during his visit to the Université de Lausanne, equipped him with interdisciplinary insights and research methodologies. With a solid command of mathematical programming tools and statistical analysis, Dr. Zhang continues to deliver high-impact research that merges mathematical theory with financial application.

Awards and Honors

While Dr. Haoyan Zhang has not listed individual honors or awards in the provided information, his academic accomplishments speak to a career marked by recognition and achievement. He has successfully progressed from Lecturer to Associate Professor at the Civil Aviation University of China, an advancement that reflects institutional recognition of his scholarly contributions. Furthermore, he was selected as a main participant in a project funded by the National Natural Science Foundation of China (NSFC), under Grant No. 11571190, from January 2016 to December 2019. Participation in a nationally competitive grant signifies a high level of peer recognition and trust in his research capabilities. Additionally, his selection as a visiting scholar at the Faculty of Business and Economics, Université de Lausanne, Switzerland, further underscores his growing international profile and academic merit. His continuous output in reputable journals and contributions to collaborative research projects further bolster his standing within the academic community. These milestones collectively represent a body of recognition that, while not individually titled, qualifies him as a high-achieving academic deserving of broader accolades such as the Best Researcher Award.

Conclusion

In conclusion, Dr. Haoyan Zhang presents a compelling case for the Best Researcher Award in recognition of his scholarly accomplishments, depth of expertise, and dedication to academic advancement. With a well-defined research focus in financial mathematics and stochastic modeling, he has consistently contributed to solving complex problems in areas such as option pricing, bond pricing, and optimal stopping. His academic journey—from his undergraduate training at Lanzhou University to his doctoral research at Nankai University and international engagement in Switzerland—demonstrates a sustained commitment to excellence. Professionally, his steady progression from Lecturer to Associate Professor, along with participation in national research grants and publication in peer-reviewed journals, reflects his credibility as a thought leader in his field. Dr. Zhang’s work not only advances theoretical understanding but also offers practical solutions to real-world financial challenges. Though opportunities remain to further his role as a principal investigator and to enhance his mentorship record, his trajectory clearly indicates a rising academic with impactful research potential. He stands out as a worthy candidate whose research achievements and academic profile merit formal recognition through this prestigious award.

Publications Top Notes

  1. Title: A Novel Idea to Solve Optimal Stopping Problem With Finite Time Horizon and Its Application in American Put
    Authors: Haoyan Zhang, Lingyun Gao
    Year: 2025

  2. Title: Bond Pricing under CIR Process with Threshold Setting
    Authors: Zhang H., Tang L., Wang F., Du Y.
    Year: 2024

  3. Title: Hitting Times for Sticky Skew CIR Process
    Authors: Zhang H., Tian Y.
    Year: 2024

  4. Title: First Hitting Time and Option Pricing Problem under Geometric Brownian Motion with Singular Volatility
    Authors: Zhang H., Zhou Y., Li X., Wu Y.
    Year: 2023

  5. Title: Perturbed Skew Diffusion Processes
    Authors: Tian Y., Zhang H.
    Year: 2023

  6. Title: Bayesian Estimation of the Skew Ornstein-Uhlenbeck Process
    Authors: Bai Y., Wang Y., Zhang H., Zhuo X.
    Year: 2022

  7. Title: Hitting Time Problems of Sticky Brownian Motion and Their Applications in Optimal Stopping and Bond Pricing
    Authors: Zhang H., Tian Y.
    Year: 2022

  8. Title: On Some Properties of Sticky Brownian Motion
    Authors: Zhang H., Jiang P.
    Year: 2021

  9. Title: Pricing Perpetual American Swaption
    Authors: Zhang H., Tian Y.
    Year: 2021

  10. Title: European Option Pricing under Stochastic Volatility Jump-Diffusion Models with Transaction Cost
    Authors: Tian Y., Zhang H.
    Year: 2020

Tegegne Getachew | Mathematics | Best Researcher Award

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Dr. Tegegne Getachew | Mathematics | Best Researcher Award

Director for the directorate of international relations of research and partnerships from Mekdela Amba University, Ethiopia

Dr. Tegegne Getachew is an Assistant Professor at Mekdela Amba University with a strong academic background in applied mathematics, particularly in mathematical physics and nonlinear partial differential equations. His research interests focus on solving complex problems in fluid and plasma dynamics, with a particular emphasis on the persistence of spatial analyticity and nonlinear Schrödinger equations. Dr. Getachew has published extensively in well-regarded academic journals, including Math. Nachr., Analysis and Applications, and International Journal of Mathematics. His research has made significant contributions to understanding mathematical models in fluid dynamics and cryptography. Besides his academic work, Dr. Getachew has demonstrated a commitment to education and mentorship by organizing workshops and teaching both at the university and community levels. As a leader at Mekdela Amba University, he has held administrative roles such as the Director of International Relations and the Registrar, further demonstrating his ability to balance academic research with institutional management. His future prospects in research and education are highly promising, and his continued work is expected to influence both theoretical and practical applications of mathematical sciences.

Professional Profile

Education

Dr. Tegegne Getachew has a robust academic foundation that supports his expertise in mathematical sciences. He is set to complete his Ph.D. in the analysis of partial differential equations from Bahir Dar University in August 2024, a culmination of years of dedication to his field. Prior to this, he earned a Master’s degree in Algebra from the University of Gondar in 2014, building on his early interest in mathematics. His academic journey began with a Bachelor’s degree in Applied Mathematics from Samara University in 2011. Throughout his education, Dr. Getachew has remained committed to advancing his understanding of mathematical concepts, particularly in the areas of fluid dynamics, cryptography, and nonlinear equations. This strong educational background has not only shaped his research but also positioned him as a mentor for future generations of students at Mekdela Amba University and beyond. His academic trajectory is a testament to his passion for mathematics and his dedication to advancing research in applied and computational mathematics.

Professional Experience

Dr. Tegegne Getachew’s professional journey reflects a commitment to both academia and leadership. Starting his career at Wollo University from September 2011 to June 2017, Dr. Getachew contributed to teaching and research in applied mathematics. His transition to Mekdela Amba University in 2017 marked the beginning of several leadership roles that shaped his academic and professional growth. He served as the Director of the Library from November 2017 to August 2021, overseeing the development of resources and services critical to the academic success of students and faculty. In 2024, Dr. Getachew was appointed as the Registrar for the College of Natural and Computational Sciences at Mekdela Amba University, showcasing his capacity for administrative duties. Currently, he holds the position of Director of International Relations, Research, and Partnerships at Mekdela Amba University, fostering academic collaboration and advancing the institution’s global presence. His multifaceted experience reflects a balance of academic dedication and leadership within the university, underlining his ability to manage both scholarly activities and institutional responsibilities effectively.

Research Interests

Dr. Tegegne Getachew’s research interests are deeply rooted in applied analysis, mathematical physics, and nonlinear partial differential equations. His primary focus is on the mathematical models that arise in fluid and plasma dynamics, particularly in the context of spatial analyticity for nonlinear equations. Dr. Getachew has also contributed significantly to cryptography, where he has worked on mathematical approaches to secure data transmission and encryption. Additionally, his research explores applied and computational mathematics, addressing complex issues in theoretical and practical applications. His work on the persistence of spatial analyticity and asymptotic bounds for solutions to equations such as the KdV equation and nonlinear Schrödinger equations has been groundbreaking in understanding the behavior of solutions in fluid dynamics. With numerous published papers and ongoing research, Dr. Getachew’s work continues to provide valuable insights that bridge the gap between abstract mathematical theory and real-world phenomena in science and engineering.

Research Skills

Dr. Tegegne Getachew’s research skills are multifaceted and reflect his expertise in both theoretical and computational mathematics. He is proficient in mathematical tools such as LATEX, MATLAB, and Python, which are crucial for conducting detailed analysis and simulations in applied mathematics. His computational skills enable him to model complex systems, such as fluid dynamics and plasma behavior, using nonlinear partial differential equations. Dr. Getachew’s expertise in cryptography further highlights his ability to use mathematical techniques for practical, real-world applications. He is also skilled in data analysis and interpretation, which aids in understanding and solving complex mathematical models. As a researcher, Dr. Getachew is adept at presenting complex concepts in accessible ways, both through his publications and his roles as a trainer and mentor. His ability to engage with a wide range of mathematical problems and tools positions him as a well-rounded researcher capable of advancing the field of applied mathematics.

Awards and Honors

Dr. Tegegne Getachew has been recognized for his academic contributions and commitment to the field of mathematics. His work has earned him multiple honors, including invitations to present at prestigious conferences such as the African Graduate Students Conferences and webinars hosted by leading academic organizations. His research papers, often published in high-impact journals, are a testament to his contribution to mathematical research. Dr. Getachew has also been involved in various academic service roles, including serving as a reviewer for top-tier journals in applied mathematics and cryptography, such as the Journal of Emerging Technologies and Innovative Research and International Journal of Advanced Research. Additionally, his involvement in organizing and leading conferences further highlights his recognition and leadership within the academic community. Dr. Getachew’s accomplishments reflect a strong track record of excellence and a growing influence in the fields of applied mathematics and mathematical physics.

Conclusion

In conclusion, Dr. Tegegne Getachew is a dedicated and accomplished researcher whose work in applied mathematics and mathematical physics has significantly contributed to advancing the field. His academic and professional journey showcases a deep commitment to both research and education. His leadership roles at Mekdela Amba University reflect his ability to balance academic excellence with administrative responsibilities. With a robust research portfolio, numerous publications in high-impact journals, and active involvement in academic conferences and committees, Dr. Getachew is well-positioned to continue making significant strides in the mathematical sciences. His passion for research, combined with his mentorship and leadership, makes him an excellent candidate for recognition as a leading researcher in his field.

Publication Top Notes

  1. On the radius of spatial analyticity for the quintic fourth-order nonlinear Schrödinger equation on ℝ²

  2. New Lower Bound for the Radius of Analyticity for the Modified 2D Zakharov–Kuznetsov Equation

    • Authors: Tegegne Getachew

    • Journal: Mathematical Methods in the Applied Sciences

    • Year: 2025-02-21

    • DOI: 10.1002/mma.10823

  3. Asymptotic Lower Bound on the Spatial Analyticity Radius for Solutions of the Periodic Fifth Order KdV–BBM Equation

    • Authors: Tegegne Getachew, Giovanni P. Galdi

    • Journal: International Journal of Differential Equations

    • Year: 2025-01

    • DOI: 10.1155/ijde/5781898

  4. New Lower Bounds of Spatial Analyticity Radius for the Kawahara Equation

    • Authors: Tegegne Getachew, Jaume Giné

    • Journal: International Journal of Differential Equations

    • Year: 2025-01

    • DOI: 10.1155/ijde/2947966

  5. New asymptotic lower bound for the radius of analyticity of solutions to nonlinear Schrödinger equation

  6. On the persistence of spatial analyticity for generalized KdV equation with higher order dispersion

    • Authors: Tegegne Getachew, Tesfahun, A., Belayneh, B.

    • Journal: Mathematische Nachrichten

    • Year: 2024

    • DOI: 10.1002/mana.202300158

  7. Propagation of radius of analyticity for solutions to a fourth-order nonlinear Schrödinger equation

    • Authors: Tegegne Getachew, Belayneh, B., Tesfahun, A.

    • Journal: Mathematical Methods in the Applied Sciences

    • Year: 2024

    • DOI: 10.1002/mma.10309

  8. Lower bounds of spatial analyticity radius for Benjamin-Bona-Mahony equation on the circle

  9. Propagation of radius of analyticity for solutions to a fourth-order nonlinear Schrödinger equation

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

 

 

Natiq Akhmedov | Mathematics | Best Rsearcher Award

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Prof. Dr. Natiq Akhmedov | Mathematics | Best Rsearcher Award

Professor, Doctor of Mathematical Sciences, Head of the Department of Mathematics and Statistics, Azerbaijan State University of Economics (UNEC), Azerbaijan

Dr. Nati Akhmedov is a distinguished mathematician with over 34 years of experience in academia and research. He holds a Doctorate in Mathematics and a Professor’s Certificate, reflecting his high level of expertise in the field. Since 1990, Dr. Akhmedov has been a full-time faculty member, specializing in calculus and applied mathematics. His dedication to teaching is evident in his role as a supervisor for PhD dissertations and his efforts to integrate personal research activities into his teaching methodologies. With a publication record of 65 research papers, Dr. Akhmedov has made significant contributions to the field of applied mathematics, focusing on solving complex, real-world problems. His career also includes consultancy and further education initiatives, showcasing his influence beyond academic institutions. Dr. Akhmedov has international experience in academic and management activities, further emphasizing his leadership in the field.

Professional Profile

Education

Dr. Akhmedov’s academic journey is marked by excellence in mathematics. He earned a Doctor of Mathematics degree, which laid the foundation for his career in academia and research. In addition, he holds a Professor’s Certificate, granting him the qualification to teach at the highest levels of education. Dr. Akhmedov has consistently pursued professional development to remain at the forefront of his discipline. His education has enabled him to specialize in applied mathematics and calculus, areas where he has demonstrated exceptional expertise. His deep understanding of mathematical principles and their practical applications has significantly influenced his teaching and research activities.

Professional Experience

Dr. Akhmedov has over three decades of professional experience, primarily in academia. Since 1990, he has served as a full-time faculty member, contributing extensively to teaching, research, and consultancy. His primary teaching focus is calculus, and he is actively involved in supervising PhD dissertations, fostering the growth of future mathematicians. In addition to teaching, Dr. Akhmedov has participated in consultancy projects, applying his mathematical expertise to solve practical problems. His experience extends to academic management and further education activities, demonstrating his versatility and leadership in the field. Dr. Akhmedov’s 34 years of experience reflect his unwavering commitment to mathematics, both as a discipline and a profession.

Research Interests

Dr. Akhmedov’s research interests lie in the field of applied mathematics, where he explores the practical applications of mathematical theories to solve real-world challenges. His work emphasizes the interdisciplinary nature of applied mathematics, integrating concepts from various fields to develop innovative solutions. As a researcher, Dr. Akhmedov has supervised numerous PhD dissertations, ensuring that his research interests influence the next generation of scholars. He has published 65 research papers, showcasing his dedication to advancing knowledge in his field. His interests also extend to the pedagogical aspects of mathematics, as he integrates his research into his teaching to provide students with a comprehensive understanding of the subject.

Research Skills

Dr. Akhmedov possesses exceptional research skills, honed over 34 years of academic and professional experience. His expertise includes mathematical modeling, problem-solving, and interdisciplinary research in applied mathematics. He is skilled in supervising PhD dissertations, guiding students through the complexities of mathematical research. Dr. Akhmedov has a proven ability to translate theoretical concepts into practical applications, as evidenced by his consultancy work and research publications. With 65 papers to his credit, he has demonstrated proficiency in academic writing, data analysis, and critical thinking. His ability to connect research with teaching ensures that his work remains relevant and impactful, benefiting both academia and industry.

Awards and Honors

Dr. Akhmedov’s professional achievements reflect his dedication to mathematics and academia. While specific awards and honors are not mentioned, his long-standing tenure as a full-time professor and his recognition through a Professor’s Certificate indicate his esteemed position in the field. His contributions to applied mathematics, teaching, and PhD supervision have likely earned him respect and recognition within academic and professional circles. Dr. Akhmedov’s inclusion in consultancy and management activities further highlights his reputation as a trusted expert in his field. His career serves as a testament to his commitment to excellence in mathematics and education.

Conclusion

Dr. Nati Akhmedov is a strong contender for the Best Researcher Award due to his extensive academic qualifications, long-standing career, robust research output, and significant teaching contributions. His work in applied mathematics bridges theoretical and practical aspects, and his role as a PhD supervisor demonstrates a commitment to fostering the next generation of researchers. However, to enhance his candidacy, it would be beneficial to provide evidence of the impact and recognition of his research contributions, along with detailed examples of international and interdisciplinary achievements. With these improvements, Dr. Akhmedov’s profile would present an even stronger case for the award.

Publication Top Notes

  1. Asymptotic analysis of three-dimensional problem of elasticity theory for radially inhomogeneous transversally-isotropic thin hollow spheres
    Authors: NK Akhmedov, AH Sofiyev
    Published in: Thin-Walled Structures
    Year: 2019
    Citations: 50
  2. Analysis of a three-dimensional problem of the theory of elasticity for an inhomogeneous truncated hollow cone
    Authors: NK Akhmedov, MF Mekhtiyev
    Published in: Journal of Applied Mathematics and Mechanics
    Year: 1993
    Citations: 20
  3. Asymptotic behavior of the solution of an axisymmetric problem of elasticity theory for a sphere with variable elasticity modules
    Authors: NK Akhmedov, NS Gasanova
    Published in: Mathematics and Mechanics of Solids
    Year: 2020
    Citations: 17
  4. Analysis of axisymmetric problem from the theory of elasticity for an isotropic cylinder of small thickness with alternating elasticity modules
    Authors: N Akhmedov, S Akbarova, J Ismailova
    Published in: Восточно-Европейский журнал передовых технологий
    Year: 2019
    Citations: 11
  5. Axisymmetric Problem of the Elasticity Theory for the Radially Inhomogeneous Cylinder with a Fixed Lateral Surface
    Authors: NK Akhmedov
    Published in: Journal of Applied and Computational Mechanics
    Year: 2021
    Citations: 10
  6. Investigation of elasticity problem for the radially inhomogeneous transversely isotropic sphere
    Authors: NK Аkhmedov, SМ Yusubova
    Published in: Mathematical Methods in the Applied Sciences
    Year: 2022
    Citations: 8
  7. Анализ трехмерной задачи теории упругости для неоднородной трансверсально-изотропной плиты переменной толщины
    Authors: НК Ахмедов, ГН Шахвердиева
    Published in: Вісник Національного технічного університету ХПІ. Серія: Механіко …
    Year: 2016
    Citations: 8
  8. On St. Venant’s principle in the torsion problem for a laminated cylinder
    Authors: NK Akhmedov, YA Ustinov
    Published in: Journal of Applied Mathematics and Mechanics
    Year: 1988
    Citations: 8
  9. Analysis of the structure of the boundary layer in the problem of the torsion of a laminated spherical shell
    Authors: NK Akhmedov, YA Ustinov
    Published in: Journal of Applied Mathematics and Mechanics
    Year: 2009
    Citations: 7
  10. Осесимметричная задача теории упругости для неоднородной плиты переменной
    Authors: НК Ахмедов, МФ Мехтиев
    Published in: Прикладная математика и механика
    Year: 1995
    Citations: 7

 

Issa Bamia | Mathematics | Best Researcher Award

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Mr. Issa Bamia | Mathematics | Best Researcher Award

Data Scientist at African Institute for Mathematical Sciences, Mali.

Issa Bamia is a mathematician and data scientist with a deep passion for advancing research in adversarial machine learning and AI security. His expertise spans data engineering, digital health solutions, and cloud-based pipeline architecture, with a focus on addressing real-world issues in healthcare and telecommunications. With significant hands-on experience, Issa has optimized data collection processes, improved decision-making tools, and contributed to impactful projects that prioritize AI safety. His work as a data engineer for Muso Health demonstrates his commitment to using data-driven insights for tangible improvements in public health. Furthermore, he has a strong foundation in advanced data science and machine learning techniques, including proficiency with large language models (LLMs), security frameworks, and virtualization. This experience, combined with his commitment to ongoing research and development, positions Issa as a promising figure in the fields of AI safety and adversarial machine learning.

Professional Profile

Education

Issa Bamia holds a Master’s in Mathematical Sciences with a specialization in Data Science from the African Institute for Mathematical Sciences (AIMS), an institution renowned for its focus on African mathematicians and scientists. His education at AIMS included a rigorous curriculum that equipped him with the analytical and technical skills needed for advanced data science research and practical applications. He gained specialized knowledge in AI and adversarial machine learning, which he applied in his professional projects to develop data-driven solutions that impact digital health. Before this, he completed a Bachelor’s degree in Electronic Information Engineering from Tianjin University, where he gained foundational knowledge in data management and engineering principles. Issa’s educational background is complemented by certifications, including a professional certification in Large Language Models (LLMs) from Databricks, which has further refined his ability to work with complex AI models and large datasets. His diverse academic and practical training has laid a strong foundation for his research and professional pursuits in data science and AI security.

Professional Experience

Issa Bamia has a diverse professional background spanning data engineering, software development, and account management. Currently, he works as a data engineer for Muso Health, where he streamlines data collection, optimizes cloud-based data pipelines, and develops dashboards for real-time healthcare data analysis. His work here has been instrumental in improving medication stock management and reducing stockouts, enhancing healthcare delivery for underserved populations. Prior to this, Issa worked as an account manager with Huawei Technologies, where he customized technological solutions to meet telecom operators’ needs, ensuring smooth service delivery and strong client relations. Earlier, he was a software engineer with Whale Cloud Technologies, where he worked on the deployment and maintenance of cloud-based software products and managed system and database maintenance. Throughout these roles, Issa demonstrated an ability to handle complex data infrastructures and security protocols, showcasing his expertise in data science and its applications in both healthcare and telecommunications.

Research Interest

Issa Bamia’s primary research interests lie in adversarial machine learning, AI safety, and the development of secure, resilient AI models. His focus is on understanding and mitigating vulnerabilities in AI systems, particularly those posed by adversarial attacks, which can manipulate machine learning models to produce inaccurate or biased outcomes. He is passionate about exploring solutions that bolster the security and reliability of AI, especially in applications related to digital health, where data integrity is critical for decision-making. Issa is also interested in the ethical and practical implications of AI security, as well as the ongoing evolution of AI governance and control frameworks. Additionally, he seeks to apply his expertise in large language models (LLMs) to further enhance AI’s adaptability and reliability. His dedication to AI safety underscores a commitment to building AI systems that prioritize both performance and ethical responsibility, which is particularly significant in fields like healthcare, where secure and trustworthy AI systems are essential.

Research Skills

Issa possesses a robust set of research skills that are integral to his work in adversarial machine learning and AI security. He is proficient in cloud-based technologies and data pipeline design, with extensive experience in platforms such as Google Cloud Platform (GCP) and Apache Airflow. His technical repertoire includes advanced machine learning frameworks and tools for large language models (LLMs), containerization through Docker, and security protocols that support secure data architectures. In addition to data engineering skills, he has a strong command of SQL, NoSQL, Linux, and various programming languages including Python and JavaScript. Issa is adept at working with virtualization, networking, and incident response, which are crucial in managing and securing complex data systems. His hands-on experience with tools like Looker, Spark, and Hadoop further enhances his capability to analyze, optimize, and visualize large datasets, supporting his research pursuits in AI and data security. His skills in agile project tracking and stakeholder engagement also enable him to lead projects effectively and ensure that his research aligns with organizational goals.

Awards and Honors

Throughout his career, Issa has earned recognition for his contributions to data science and digital health innovation. His academic achievements include a Master’s degree in Mathematical Sciences (Data Science) from the African Institute for Mathematical Sciences (AIMS), an honor that highlights his academic commitment to data science research. While at AIMS, Issa developed a data-driven solution for medication stock management at Muso Health, a project that successfully reduced stockouts and improved patient care outcomes, marking a significant professional achievement in public health. His commitment to professional growth is also evident in his completion of the Databricks Professional Certificate in Large Language Models (LLMs), which reflects his proficiency in implementing, fine-tuning, and managing LLMs in various AI applications. This certification is a testament to his dedication to staying updated with advancements in AI, particularly in AI security, which is a key area of his research focus. These achievements underscore Issa’s commitment to both academic excellence and impactful, socially relevant research.

Conclusion

Issa Bamia’s background in adversarial machine learning, practical impact in digital health, and strong technical skill set make him a strong contender for the Best Researcher Award. His work on AI safety, coupled with impactful public health solutions, aligns well with the criteria for this award. Strengthening his research profile with further publications and collaborations would elevate his contributions in this competitive field. Overall, he demonstrates the qualities of an innovative and impactful researcher.

 

Hamidou Tembine | Mathematics | Best Scholar Award

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

Professor of AI at UQTR, Canada

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

Professional Profile

Education

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

Professional Experience

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

Research Interests

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

Research Skills

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

Awards and Honors

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

Conclusion

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

Publications Top Notes

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

 

 

Sami Ul Haq | Mathematics | Best Researcher Award

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Dr. Sami Ul Haq | Mathematics | Best Researcher Award

Dr. Sami Ul Haq, COMSATS University Islamabad, Pakistan

Dr. Sami Ul Haq is an accomplished mathematician with a strong foundation in fluid mechanics and mathematical modeling. He is committed to advancing knowledge in the field through teaching and research. Recognized as a gold medalist during his undergraduate studies, he combines his academic prowess with practical teaching experience to inspire the next generation of mathematicians. Dr. Sami is actively engaged in conferences and seminars, contributing to the discourse on recent developments in fluid mechanics and related fields.

Profile

Orcid Profile 

Syed Anwar | signal processing | Best Researcher Award

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Syed Anwar | signal processing | Best Researcher Award

Principal Investigator at Childrens National Hopsital, United States.

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

Profile👤

Scopus

ORCID

Education📝

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

Experience👨‍🏫

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

Research Interest🔬 

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

Awards and Honors🏆

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

Skills🛠️

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

Conclusion 🔍 

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

Publication Top Notes

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

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

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

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