Saeed Ahmad | Applied Mathematics | Best Researcher Award

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Assist. Prof. Dr. Saeed Ahmad | Applied Mathematics | Best Researcher Award

Assistant Professor at University of Malakand Chakdara, Pakistan

Dr. Saeed Ahmad is a distinguished researcher and academic in the field of applied mathematics, with a strong focus on dynamical systems, nonlinear analysis, and mathematical biology 🔬📈. He earned his Ph.D. from the University of Nottingham, UK 🇬🇧, where his work on semifluxons in long Josephson junctions gained international recognition 🌍. With over 20 high-impact publications in reputable journals such as Chaos, Solitons and Fractals and Physical Review B 📚🧠, Dr. Ahmad has contributed significantly to the understanding of fractional differential models in epidemiology and physics. Currently serving as an Assistant Professor at the University of Malakand 🇵🇰, he also mentors M.Phil. and Ph.D. scholars, fostering future generations of researchers 🎓👨‍🏫. His expertise spans real and complex analysis, PDEs, and nonlinear waves, underlining his versatility in mathematics 🧮📊. A recipient of a prestigious HEC scholarship, his academic journey is a testament to excellence and dedication ⭐🏅.

Professional Profile

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Education 🎓📘

Dr. Saeed Ahmad holds an impressive academic background rooted in excellence and global exposure. He completed his Ph.D. in Applied Mathematics from the prestigious University of Nottingham, United Kingdom 🇬🇧, focusing on the mathematical modeling of semifluxons in long Josephson junctions—a complex area blending physics and nonlinear analysis 🔬📐. Prior to his doctoral studies, he obtained his M.Phil. and M.Sc. degrees in Mathematics from leading Pakistani institutions, laying a strong foundation in real and complex analysis, differential equations, and functional analysis 📖🧠. Throughout his academic journey, Dr. Ahmad consistently achieved top ranks and received multiple scholarships for his outstanding performance 🏅✍️. His educational credentials are a testimony to his dedication, intellectual rigor, and commitment to advancing mathematical sciences on both theoretical and applied fronts 📊📏.

Professional Experience 🧑‍🏫💼

Dr. Saeed Ahmad is currently serving as an Assistant Professor in the Department of Mathematics at the University of Malakand, Pakistan 🇵🇰, where he plays a pivotal role in teaching, mentoring, and leading research initiatives. With over a decade of academic experience, he has guided M.Phil. and Ph.D. students in areas like nonlinear dynamics, fractional calculus, and mathematical biology 🎓🔬. His teaching philosophy blends analytical precision with real-world relevance, inspiring students to approach mathematics as a powerful problem-solving tool 🧮🧑‍🎓. In addition to his academic duties, Dr. Ahmad actively contributes to curriculum development, seminars, and interdisciplinary collaborations across departments 🤝📋. He has also participated in international conferences and workshops, enhancing his global academic engagement 🌍📢. His professional journey reflects a balanced blend of scholarly depth and educational leadership, making him a cornerstone of the university’s mathematical research community 🏛️📚.

Research Interests 🔍🧠

Dr. Saeed Ahmad’s research interests lie at the intersection of applied mathematics, nonlinear analysis, and mathematical modeling 📈🧬. He specializes in dynamical systems, fractional differential equations, and nonlinear wave phenomena—applying these concepts to real-world systems in physics, epidemiology, and engineering 🔧⚛️. His work on Josephson junctions, a quantum mechanical device, has garnered international recognition and continues to influence modern theoretical physics 🧲🌐. Additionally, Dr. Ahmad explores the dynamics of infectious disease models using fractional calculus to improve predictive accuracy in biological systems 🧫🦠. He has authored over 20 impactful research papers in leading journals such as Chaos, Solitons & Fractals and Physical Review B, demonstrating both depth and innovation 📚🚀. His interdisciplinary approach bridges theoretical rigor with practical applications, positioning him as a thought leader in mathematical sciences and beyond 🔬🧮.

Awards and Honors 🏆🎖️

Dr. Saeed Ahmad has been recognized for his academic and research excellence with numerous awards and honors that highlight his contributions to mathematics both nationally and internationally 🌟🌐. He was the recipient of a prestigious Higher Education Commission (HEC) scholarship for his Ph.D. studies in the UK, a testament to his exceptional academic merit and potential 🇵🇰🎓. His research publications have earned accolades in the form of high-impact citations, reflecting their value within the global scientific community 📖💡. Additionally, Dr. Ahmad has been invited as a speaker at various international conferences, recognizing his expertise in applied mathematics and nonlinear dynamics 🎤📊. His achievements underscore a career built on dedication, innovation, and the pursuit of knowledge. These honors not only reflect individual excellence but also contribute to raising the academic profile of his home institution and country 🏅📘.

Conclusion 📝📌

In summary, Dr. Saeed Ahmad stands as a dedicated scholar, educator, and researcher whose work in applied mathematics continues to make a lasting impact on both theory and real-world applications 🌍🔢. With a solid educational foundation, substantial teaching experience, and a strong portfolio of research contributions, he exemplifies the spirit of academic excellence and innovation 🧑‍🏫🧠. His interdisciplinary focus bridges mathematics with physics and biology, demonstrating the versatility and necessity of mathematical tools in solving modern scientific challenges 🧮🔬. Dr. Ahmad’s recognition through awards and international collaborations further cements his reputation as a respected figure in the global mathematical community 🏆🌐. As he continues to mentor students and publish groundbreaking research, his contributions will undoubtedly shape the future of applied mathematics and inspire the next generation of mathematical thinkers 📚🚀.

Publications Top Notes

  • Controllability of pantograph-type nonlinear non-integer order differential system with input delay

    • Authors: I. Ahmad, S.F. Ahmad, G. ur Rahman, Y. Karaca, Z.A. Khan

    • Year: 2025

    • Source: AEJ – Alexandria Engineering Journal

    • Topic: Control Theory, Delay Systems, Fractional Calculus

  • Vectorial spatial solitons of left and right circularly polarized beams in a chiral atomic medium using complex light fields with spatial structure

    • Authors: R.T. Ahmad, B.A. Bacha, S.F. Ahmad, I. Ahmad

    • Year: 2025

    • Source: [Unspecified Journal]

    • Topic: Optics, Nonlinear Physics

  • Exposure to Acute Concentration of Malathion Induced Behavioral, Hematological, and Biochemical Toxicities in the Brain of Labeo rohita

    • Authors: S. Ullah, S.F. Ahmad, M.K. Ashraf, T. Iqbal, M.M. Azzam

    • Year: 2025

    • Source: Life

    • Topic: Ecotoxicology, Behavioral Neuroscience

  • Empowering silver and copper nanoparticles through aqueous fruit extract of Solanum xanthocarpum for sustainable advancements

    • Authors: G. Rahman, H. Fazal, A. Ullah, G. Zengin, A. Farid

    • Year: 2025

    • Citations: 6

    • Source: Biomass Conversion and Biorefinery

    • Topic: Green Chemistry, Nanotechnology

  • A new fractional infectious disease model under the non-singular Mittag–Leffler derivative

    • Authors: X. Liu, M. Ur Rahmamn, S.F. Ahmad, D.I. Baleanu, Y. Nadeem Anjam

    • Year: 2025

    • Citations: 15

    • Source: Waves in Random and Complex Media

    • Topic: Epidemic Modeling, Fractional Calculus

  • Control of scabies fluctuation during COVID-19 pandemic

    • Authors: Abdullah, S.F. Ahmad, W. Albalawi, N. Omer

    • Year: 2025

    • Source: AEJ – Alexandria Engineering Journal

    • Topic: Infectious Disease Modeling, Public Health

  • Stability analysis and optimal control of a generalized SIR epidemic model with harmonic mean type of incidence and nonlinear recovery rates

    • Authors: S.R. Chawla, S.F. Ahmad, A. Khan, K.S. Nisar, H.M. Ali

    • Year: 2024

    • Source: AEJ – Alexandria Engineering Journal

    • Topic: Mathematical Epidemiology, Optimal Control

  • Coherent manipulation of vectorial soliton beam in sodium like atomic medium

    • Authors: B.A. Bacha, S.F. Ahmad, R.T. Ahmad, I. Ahmad

    • Year: 2024

    • Citations: 3

    • Source: Chaos, Solitons and Fractals

    • Topic: Quantum Optics, Solitons

  • Atom localization by damping spectrum of surface plasmon polariton waves

    • Authors: I. Shah, M.D.L. De la Sen, S.F. Ahmad, T.A. Alrebdi, A.H. Abdel-Aty

    • Year: 2024

    • Citations: 1

    • Source: AEJ – Alexandria Engineering Journal

    • Topic: Plasmonics, Atomic Physics

  • Beneficial Effects of Natural Alkaloids from Berberis glaucocarpa as Antidiabetic Agents: An In Vitro, In Silico, and In Vivo Approach

    • Authors: M. Alamzeb, S.T.A. Shah, H. Hussain, R.Q. Ullah, E.A. Ali

    • Year: 2024

    • Citations: 6

    • Source: ACS Omega

    • Topic: Drug Discovery, Natural Products, Diabetes

 

Raja Rani Titti | Applied Mathematics | Best Researcher Award

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Dr. Raja Rani Titti | Applied Mathematics | Best Researcher Award

Deputy Head of FPD at Military Technological College, Oman

Dr. T Raja Rani is a distinguished researcher and academician with extensive contributions to mathematics, artificial intelligence, IoT, and biomedical engineering. With 65 research papers, a book published by Taylor & Francis (CRC Press, UK), and multiple international award presentations, she has established herself as a leader in her field. She has served as a reviewer and editorial board member for reputed journals and has supervised PhD scholars and student research projects. As the Principal Investigator for government-funded projects from the Ministry of Higher Education and Ministry of Defence, she has led innovative studies in AI-driven healthcare and smart automation. She has also held key academic roles, contributing to institutional research development. Recognized for her interdisciplinary expertise and global collaborations, Dr. Raja Rani is a strong candidate for the Best Researcher Award, with future potential in high-impact publications, industry partnerships, and international research funding.

Professional Profile

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Education

Dr. T Raja Rani holds a strong academic background in mathematics and computational sciences, equipping her with expertise in applied mathematics, artificial intelligence, and IoT-based systems. She earned her degrees from prestigious institutions, specializing in differential equations, machine learning applications, and biomedical engineering research. Her academic journey has been marked by a passion for interdisciplinary research, combining theoretical and practical knowledge to address complex real-world challenges. With a commitment to continuous learning, she has also actively participated in professional development programs, workshops, and research collaborations to enhance her expertise. Her educational foundation has played a crucial role in shaping her research contributions, enabling her to publish high-quality journal articles, lead innovative projects, and mentor students in advanced research fields. Dr. Raja Rani’s dedication to academia and research has made her a respected scholar in her domain, contributing significantly to advancements in mathematical modeling, AI, and IoT applications.

Professional Experience

Dr. T Raja Rani has an extensive academic and research career spanning over two decades in reputed institutions across India and Oman. She has served as a lecturer, associate professor, and research coordinator, contributing to curriculum development, student mentorship, and institutional research initiatives. She worked at Military Technological College, Higher College of Technology, and Ibri College of Technology in Oman, where she played a pivotal role in mathematics program coordination, research development, and quality assurance. She has also contributed as an interview panelist for academic recruitment and has mentored several undergraduate and PhD scholars in AI-driven biomedical and IoT projects. In addition, she has actively participated in international awards, journal editorial boards, and funded research projects. Her career is marked by a dedication to bridging the gap between theoretical research and practical applications, making her an invaluable contributor to academia and industry collaborations.

Research Interest

Dr. T Raja Rani’s research interests lie at the intersection of applied mathematics, artificial intelligence, IoT, and biomedical engineering. She specializes in differential equations, machine learning algorithms, and computational modeling, applying these techniques to solve real-world problems in healthcare, automation, and smart city infrastructure. Her work explores AI-driven predictive analytics for medical diagnosis, IoT-based automation systems, and mathematical simulations for engineering applications. She has led multiple interdisciplinary projects, including the development of IoT-based home automation, hydroponic farming solutions, and AI models for cardiovascular disease prediction. Her passion for cutting-edge research is reflected in her numerous publications, book authorship, and government-funded projects. By integrating AI and mathematics, she aims to develop smart, efficient, and sustainable solutions for various industries. Moving forward, she seeks to expand her research into high-impact AI applications, industry collaborations, and global research partnerships to further drive technological innovation.

Awards and Honors

Dr. T Raja Rani has received significant recognition for her research contributions, academic leadership, and interdisciplinary expertise. She has authored 65+ research papers in reputed international journals and awards, securing funded projects from the Ministry of Higher Education and Ministry of Defence in Oman. Her book publication with Taylor & Francis (CRC Press, UK) highlights her expertise in differential equations and computational analysis. As a reviewer and editorial board member for international journals, she has played a key role in shaping academic research in her field. Her award presentations, including at WCE-2014 in London, have established her as a global researcher. Her work in IoT, AI-driven healthcare solutions, and mathematical modeling has positioned her as a leading scholar. These achievements make her a deserving candidate for prestigious research awards and further opportunities in high-impact global collaborations and research funding.

Conclusion

Dr. T Raja Rani is an accomplished researcher and academician, with a career dedicated to mathematical modeling, AI, and IoT applications. With extensive research contributions, government-funded projects, and academic leadership, she has significantly advanced interdisciplinary research. Her expertise spans machine learning, biomedical applications, and automation technologies, leading to impactful innovations in healthcare, engineering, and smart infrastructure. She has also been a mentor, reviewer, and institutional research coordinator, fostering academic excellence. Moving forward, she aims to strengthen industry collaborations, high-impact journal publications, and international research funding to further elevate her contributions. With her proven track record, Dr. Raja Rani is a strong candidate for the Best Researcher Award, and her work will continue to shape advancements in AI-driven research and technological innovation.

Publications Top Noted

  • Title: ML-based Approach to Predict Carotid Arterial Blood Flow Dynamics
    Authors: TR Rani, A Al Shibli, M Siraj, W Srimal, NZS Al Bakri, TSL Radhika
    Year: 2009
    Citations: 2
    Source: Contemporary Mathematics

  • Title: Approximate Analytical Methods for Solving Ordinary Differential Equations
    Authors: TSL Radhika, TKV Iyengar, TR Rani
    Year: 2014
    Citations: 25
    Source: CRC Press

  • Title: Econophysics and Fractional Calculus: Einstein’s Evolution Equation, the Fractal Market Hypothesis, Trend Analysis, and Future Price Prediction
    Authors: J Blackledge, D Kearney, M Lamphiere, R Rani, P Walsh
    Year: 2019
    Citations: 15
    Source: Mathematics, 7 (11), 1057

  • Title: Effect of Radiation and Magnetic Field on Mixed Convection at a Vertical Plate in a Porous Medium with Variable Fluid Properties and Varying Wall Temperature
    Authors: TR Rani, CNB Rao, VL Prasannam
    Year: 2010
    Citations: 6
    Source: Proceedings of the International Multiaward of Engineers and Computer Science

  • Title: The Effects of Viscous Dissipation on Convection in a Porous Medium
    Authors: TR Rani, TSL Radhika, JM Blackledge
    Year: 2017
    Citations: 5
    Source: Mathematica Aeterna, 7 (2), 131-145

  • Title: MHD Free Convective Heat Transfer Flow Past a Vertical Plate Embedded in a Porous Medium with Effects of Variable Fluid Properties in the Presence of Heat Source
    Authors: TR Rani, R Palli
    Year: 2014
    Citations: 4
    Source: Proceedings of the World Congress on Engineering

  • Title: Measuring Software Design Class Metrics: A Tool Approach
    Authors: T Rani, M Sanyal, S Garg
    Year: 2012
    Citations: 4
    Source: International Journal of Engineering Research & Technology (IJERT)

  • Title: Free Convection in a Porous Medium with Magnetic Field
    Authors: V Lakshmi Prasannam, T Raja Rani, R CNB
    Year: 2009
    Citations: 4
    Source: International Journal of Computational Mathematical Ideas

  • Title: Quantile Loss Function Empowered Machine Learning Models for Predicting Carotid Arterial Blood Flow Characteristics
    Authors: TR Rani, W Srimal, A Al Shibli, NZS Al Bakri, M Siraj, TSL Radhika
    Year: 2023
    Citations: 3
    Source: WSEAS Transactions on Biology and Biomedicine

  • Title: On a Study of Flow Past Non-Newtonian Fluid Bubbles
    Authors: TSL Radhika, TR Rani
    Year: 2021
    Citations: 3
    Source: WSEAS Transactions on Fluid Mechanics

  • Title: Creeping Flow of a Viscous Fluid Past a Pair of Porous Separated Spheres
    Authors: TSL Radhika, T Raja Rani, D Dwivedi
    Year: 2020
    Citations: 3
    Source: BPAS Publications, 39 (1), 58-76

  • Title: Stochastic Modelling for Lévy Distributed Systems
    Authors: J Blackledge, TR Rani
    Year: 2017
    Citations: 3
    Source: Technological University Dublin

  • Title: Time-Dependent Flow of a Couple Stress Fluid in an Elastic Circular Cylinder with Application to the Human Circulatory System
    Authors: TSL Radhika, TR Rani, A Karthik
    Year: 2020
    Citations: 2
    Source: Academic Journal of Applied Mathematical Sciences, 6 (7), 126-135

  • Title: Comparison of HAM and Numerical Solutions for a Free Convection Problem with Variable Fluid Properties, Heat Source/Sink, and Radiation
    Authors: T Raja Rani, TSL Radhika, R Palli
    Year: 2016
    Citations: 2
    Source: Journal of Information and Optimization Sciences, 37 (3), 405-422

  • Title: An Application of HAM for MHD Heat Source Problem with Variable Fluid Properties
    Authors: TR Rani, TSL Radhika, R Palli
    Year: 2014
    Citations: 2
    Source: Advances in Theoretical and Applied Mechanics, 7 (2), 79-89

  • Title: Mixed Convection in a Porous Medium with Magnetic Field, Variable Viscosity, and Varying Wall Temperature
    Authors: CNB Rao, VL Prasannam, T Raja Rani
    Year: 2010
    Citations: 2
    Source: International Journal of Computational Mathematical Ideas, 2 (1), 13-21

  • Title: Shor’s Algorithm – How Does It Work on Perfect Squares
    Authors: TSL Radhika
    Year: 2024

  • Title: Enhancing Crude Oil Pipeline Design Efficiency Through Explainable AI: A COMSOL Simulation Approach
    Authors: BJ Jose, P Jain, TR Rani
    Year: 2025
    Source: Innovative and Intelligent Digital Technologies

 

Sabah Kausar | Applied Mathematics | Young Scientist Award

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Dr. Sabah Kausar | Applied Mathematics | Young Scientist Award

University of Gujrat, Pakistan

Dr. Sabah Kausar is a dedicated physicist and researcher specializing in nanomaterials, photocatalysis, and environmental sustainability. With an MPhil in Physics from the University of Gujrat, her research focuses on synthesizing and characterizing advanced nanocomposites for applications in water purification, antimicrobial treatments, and food preservation. She has expertise in XRD, SEM, FTIR, PL, UV-Vis spectroscopy, and EDX, demonstrating a strong technical background. Her publications on Ag-doped BiVO₄ and BiVO₄/ZnO nanocomposites highlight significant advancements in photocatalytic degradation and extended shelf life of fruits. Passionate about interdisciplinary research, Dr. Kausar’s work bridges nanotechnology, environmental science, and material physics. She aspires to expand her contributions through international collaborations, high-impact publications, and practical industrial applications. With a keen focus on sustainability and innovation, she is a promising young scientist making impactful contributions to applied physics and nanotechnology.

Professional Profile 

Education

Dr. Sabah Kausar holds an MPhil in Physics from the University of Gujrat, where she conducted pioneering research on nanomaterials and their photocatalytic and antimicrobial properties. Her thesis focused on the synthesis and characterization of BiVO₄-based nanocomposites for enhancing the shelf life of fruits and environmental remediation. Prior to her MPhil, she earned a BS (Honors) in Physics, where she developed a strong foundation in experimental, numerical, and conceptual physics. Her academic journey has been marked by excellence in material physics, spectroscopy, and nanotechnology applications. Additionally, she is currently pursuing a Bachelor of Education (BEd), reinforcing her ability to contribute to academia. With a solid educational background, she has developed expertise in advanced characterization techniques such as XRD, SEM, FTIR, PL, and UV-Vis spectroscopy, which are essential for analyzing the structural, optical, and morphological properties of nanomaterials.

Professional Experience

Dr. Sabah Kausar is an emerging scientist with expertise in photocatalytic nanomaterials, environmental physics, and material characterization. During her MPhil research, she synthesized and tested Ag-doped BiVO₄ and BiVO₄/ZnO nanocomposites to improve photocatalytic activity and antimicrobial performance. Her research has practical implications in water purification, environmental remediation, and food preservation. She has collaborated with interdisciplinary teams to analyze nanoparticle efficiency using XRD, SEM, FTIR, and UV-Vis spectroscopy. She has also contributed to scientific literature through high-impact publications focusing on nanotechnology-based solutions for sustainability. As a physicist, she excels in team collaboration, research execution, and analytical problem-solving. Beyond research, her pursuit of a BEd degree equips her with academic and teaching skills, enhancing her ability to mentor and educate future scientists. With a passion for advancing nanomaterials for environmental and biomedical applications, she is poised to make significant contributions to applied physics and sustainable technology.

Research Interest

Dr. Sabah Kausar’s research interests lie in nanotechnology, photocatalysis, environmental sustainability, and antimicrobial nanomaterials. She focuses on synthesizing and characterizing functional nanocomposites for applications in water purification, energy harvesting, and food preservation. Her expertise extends to advanced material characterization techniques such as X-ray diffraction (XRD), scanning electron microscopy (SEM), photoluminescence spectroscopy (PL), and UV-Vis analysis, which she employs to explore optical, structural, and chemical properties of materials. She is particularly interested in the development of eco-friendly nanomaterials to combat water pollution and food spoilage. Her work on TiO₂/BiVO₄ nanocomposites for dye and antibiotic degradation has demonstrated significant potential for environmental applications. Additionally, she is keen on interdisciplinary research collaborations to bridge the gap between material science, environmental physics, and biomedicine. With a strong foundation in experimental physics and nanotechnology, she aspires to contribute to cutting-edge advancements in sustainable science and clean energy.

Awards and Honors

Dr. Sabah Kausar has earned recognition for her innovative contributions to nanotechnology and environmental sustainability. Her MPhil research on BiVO₄-based nanomaterials has been widely acknowledged for its practical implications in photocatalysis, antimicrobial applications, and food preservation. She has presented her work at national and international awards, showcasing her expertise in material characterization and sustainable nanotechnology. Additionally, her high-impact publications in peer-reviewed journals reflect her strong research capabilities and commitment to scientific advancement. Her ability to bridge physics, chemistry, and environmental science has positioned her as a promising researcher. As she continues to develop innovative nanomaterials for real-world applications, she remains committed to academic excellence and collaborative research projects. With her growing contributions to scientific knowledge and sustainability-focused solutions, she is a strong candidate for Young Scientist Awards and similar recognitions in the fields of nanotechnology, applied physics, and environmental research.

Conclusion

Dr. Sabah Kausar is a rising physicist and nanotechnology researcher committed to solving environmental and sustainability challenges through innovative material science. With a strong academic background, hands-on research experience, and a passion for applied physics, she has contributed to the development of photocatalytic and antimicrobial nanomaterials. Her work has significant implications for clean energy, water purification, and food preservation, demonstrating the power of interdisciplinary scientific advancements. As a young scientist, she continues to explore new frontiers in nanotechnology, with a focus on sustainable applications. Her ability to integrate material characterization, experimental physics, and environmental research makes her a promising scientific leader. With continued collaborations, high-impact research, and academic contributions, she is well-positioned to make lasting contributions in physics, nanotechnology, and sustainability science.

Publications Top Noted

 

Halima Bensmail | Applied Mathematics | Best Researcher Award

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Prof. Dr. Halima Bensmail | Applied Mathematics | Best Researcher Award

Principal scientist at Qatar Computing Research Institute, Qatar

Dr. Halima Bensmail is a distinguished Principal Scientist at the Qatar Computing Research Institute, specializing in machine learning, bioinformatics, biostatistics, and statistical modeling. With a Ph.D. in Statistics (Summa Cum Laude) from the University Pierre & Marie Curie, she has made significant contributions to Bayesian inference, multivariate analysis, and precision medicine. She has an impressive research record with an H-index of 31, i10-index of 54, and around 140 publications in prestigious journals such as Nature Communications, JASA, and IEEE TNNLS. As the founder of the Statistical Machine Learning and Bioinformatics group at QCRI, she has led groundbreaking projects, including the development of open-source data-driven tools like the PRISQ pre-diabetes screening model and MCLUST clustering algorithm. With extensive academic experience in the USA, France, and the Netherlands, she has mentored numerous postdocs and students, shaping the next generation of researchers. Her expertise and leadership make her a key figure in data science and precision health.

Professional Profile 

Google Scholar
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Education

Dr. Halima Bensmail holds a Ph.D. in Statistical Machine Learning (Summa Cum Laude) from the University Pierre & Marie Curie (Paris 6), where she specialized in Bayesian inference, spectral decomposition, and mixture models. Her thesis focused on deterministic and Bayesian model-based clustering and classification for data science applications. Prior to that, she earned an M.S. in Machine Learning from the same university, with a focus on probability, financial modeling, and stochastic processes. She also holds a Bachelor’s degree in Applied Mathematics and Statistics from the University Mohammed V in Morocco, where she gained expertise in numerical analysis, stochastic processes, topology, and mathematical programming. Throughout her academic journey, she was mentored by esteemed professors and developed a strong foundation in theoretical and applied statistics. Her educational background has laid the groundwork for her pioneering research in machine learning, bioinformatics, and data-driven modeling for real-world applications.

Professional Experience

Dr. Bensmail is currently a Principal Scientist at the Qatar Computing Research Institute (QCRI), where she leads research in bioinformatics, statistical machine learning, and artificial intelligence. She also serves as a Full Professor in the College of Science and Engineering at Hamad Bin Khalifa University and a Visiting Full Professor at Texas A&M University at Qatar. Previously, she held tenured faculty positions at Virginia Medical School and the University of Tennessee, where she contributed significantly to public health and business administration research. She has also worked as a Research Scientist at the University of Leiden, a scientist at the Fred Hutchinson Cancer Research Center, and a postdoctoral researcher at the University of Washington. With decades of experience across academia and research institutions in the U.S., Europe, and the Middle East, she has built expertise in developing statistical and AI-driven solutions for biomedical and computational challenges.

Research Interests

Dr. Bensmail’s research spans statistical machine learning, bioinformatics, and precision medicine. She has developed novel clustering algorithms, such as an advanced Bayesian clustering model implemented in the MCLUST package, and statistical methods for analyzing Next-Generation Sequencing (NGS) data. She is also interested in computational biology, specifically protein-protein interactions, protein solubility, and structural biology. Her work includes dimensionality reduction techniques like nonnegative matrix factorization and discriminative sparse coding for domain adaptation. In the field of precision medicine, she has designed PRISQ, a statistical model for pre-diabetes screening. Her broader interests include Bayesian statistics, functional data analysis, information theory, and high-dimensional data modeling. With a strong focus on developing real-world data-driven tools, she actively contributes to statistical methodologies that enhance decision-making in medicine, genomics, and artificial intelligence applications.

Awards and Honors

Dr. Bensmail has received numerous accolades for her contributions to machine learning, bioinformatics, and statistical modeling. Her work has been widely recognized, with over 140 peer-reviewed publications and an H-index of 31, demonstrating the impact of her research. She has secured research grants and led major projects in AI-driven healthcare solutions. Her contributions to the field have been acknowledged through invitations to serve as a keynote speaker at international awards and as an editorial board member for high-impact journals. She has also been instrumental in mentoring young researchers, postdoctoral fellows, and doctoral students, fostering the next generation of scientists in AI, statistics, and bioinformatics. Additionally, her work on statistical methods for precision medicine and biomedical informatics has gained international recognition, positioning her as a leading expert in the field of data science for healthcare and computational biology.

Conclusion

Dr. Halima Bensmail is a pioneering researcher in machine learning, statistical modeling, and bioinformatics, with a career spanning leading institutions in the U.S., Europe, and the Middle East. Her contributions to clustering algorithms, high-dimensional data analysis, and precision medicine have made a lasting impact on the fields of AI and computational biology. As a mentor and leader, she has shaped numerous young scientists and postdocs, driving innovation in data science applications. With a robust publication record, influential research projects, and a dedication to developing real-world AI-driven solutions, she stands as a leading figure in statistical machine learning. Her expertise and contributions continue to push the boundaries of knowledge in bioinformatics, artificial intelligence, and healthcare analytics, making her a strong candidate for prestigious research awards and recognition in scientific communities worldwide.

Publications Top Noted

 

LinTian Luh | Applied Mathematics | Numerical Analysis Research Award

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Dr. LinTian Luh | Applied Mathematics | Numerical Analysis Research Award

Dr. Lin-Tian Luh is a distinguished mathematician specializing in radial basis functions, approximation theory, numerical mathematics, and topology. With a Ph.D. from the University of Göttingen, he has made significant contributions to the field, particularly in developing error bounds for high-dimensional interpolation and advancing the choice theory of shape parameters. Over his academic career at Providence University, where he served as a lecturer, associate professor, and full professor, he has been instrumental in enhancing research environments and collaborating internationally, notably with Professor R. Schaback. Dr. Luh has published extensively in high-impact journals, presented at major awards worldwide, and held editorial roles in reputable mathematical journals. His groundbreaking work on shape parameter selection has gained international recognition, solving longstanding challenges in the field. Honored multiple times for research excellence, he continues to push the boundaries of numerical analysis and computational mathematics, making profound impacts on scientific advancements.

Professional Profile 

Scopus Profile
ORCID Profile

Education

Dr. Lin-Tian Luh obtained his Ph.D. in Mathematics from the University of Göttingen, Germany, where he studied under leading experts in numerical analysis and approximation theory. His doctoral research focused on radial basis functions and their applications in high-dimensional interpolation. Prior to his Ph.D., he completed his undergraduate and master’s studies in Taiwan, building a strong foundation in pure and applied mathematics. Throughout his academic journey, he demonstrated exceptional analytical skills and a deep passion for solving complex mathematical problems. His international education provided him with a broad perspective, allowing him to integrate diverse mathematical techniques into his research. Exposure to rigorous mathematical training at Göttingen further refined his expertise in error estimation and shape parameter selection. His academic achievements laid the groundwork for a successful career in both theoretical and applied mathematics, enabling him to contribute significantly to the advancement of numerical methods in scientific computation.

Professional Experience

Dr. Lin-Tian Luh has had a distinguished academic career, spanning decades of research, teaching, and mentorship. He began as a lecturer at Providence University in Taiwan, where he quickly established himself as an authority in numerical mathematics. Rising through the ranks to associate professor and later full professor, he played a pivotal role in shaping the university’s mathematics curriculum and fostering a strong research environment. He has collaborated extensively with international scholars, including Professor R. Schaback, contributing to groundbreaking advancements in radial basis function interpolation. Dr. Luh has also held visiting research positions at prestigious institutions, further strengthening his global academic impact. His dedication to teaching has inspired numerous students to pursue research in computational mathematics. Beyond academia, he has served on editorial boards of leading mathematical journals and as a reviewer for high-impact publications, solidifying his reputation as a key figure in numerical analysis and approximation theory.

Research Interest

Dr. Lin-Tian Luh’s research interests lie in numerical analysis, radial basis function (RBF) interpolation, approximation theory, and topology. He has made substantial contributions to high-dimensional interpolation techniques, particularly in error estimation and shape parameter selection for RBF methods. His work on developing optimal strategies for shape parameter choice has addressed longstanding challenges in computational mathematics, influencing applications in engineering, data science, and machine learning. He is also deeply engaged in the theoretical aspects of approximation theory, exploring new methods to improve the efficiency and accuracy of numerical algorithms. Dr. Luh’s research extends into applied topology, where he investigates connections between geometric structures and computational models. His interdisciplinary approach has led to collaborations across various fields, reinforcing the importance of mathematical theory in real-world problem-solving. With numerous publications in top-tier journals, his work continues to shape the evolving landscape of numerical mathematics and scientific computation.

Awards and Honors

Dr. Lin-Tian Luh has received multiple accolades for his exceptional contributions to mathematics, particularly in numerical analysis and approximation theory. He has been recognized by prestigious mathematical societies and institutions for his pioneering work in radial basis function interpolation. His research on shape parameter selection has earned international acclaim, leading to invitations as a keynote speaker at major mathematical awards. Dr. Luh has also been honored with excellence in research awards from Providence University, where his work has significantly advanced the institution’s academic reputation. In addition, he has received grants and fellowships supporting his innovative research, further validating his impact in the field. His editorial contributions to leading mathematical journals have also been acknowledged, highlighting his influence in shaping contemporary numerical mathematics. These honors reflect his dedication, originality, and profound impact on both theoretical and applied mathematics, reinforcing his legacy as a leader in computational and approximation theory.

Conclusion

Dr. Lin-Tian Luh is a renowned mathematician whose work in numerical analysis, radial basis function interpolation, and approximation theory has significantly influenced the field. With a strong educational background from the University of Göttingen and an illustrious academic career at Providence University, he has played a crucial role in advancing research and mentoring future generations of mathematicians. His collaborations with international scholars and contributions to high-dimensional interpolation techniques have provided groundbreaking insights into shape parameter selection and error estimation. Recognized globally for his research excellence, he has received multiple awards and honors, further establishing his prominence in mathematical sciences. Dr. Luh’s work continues to inspire and drive progress in numerical computation, bridging theoretical advancements with practical applications. His dedication to expanding mathematical knowledge and fostering innovation ensures that his contributions will have a lasting impact on the field, shaping the future of approximation theory and scientific computing.

Publications Top Noted

  • The Shape Parameter in the Shifted Surface Spline—A Sharp and Friendly Approach

    • Author: Lin-Tian Luh
    • Year: 2024
    • Source: Mathematics (MDPI)

  • Solving Poisson Equations by the MN-Curve Approach

    • Author: Lin-Tian Luh
    • Year: 2022
    • Source: Mathematics (MDPI)

  • A Direct Prediction of the Shape Parameter in the Collocation Method of Solving Poisson Equation

    • Author: Lin-Tian Luh
    • Year: 2022
    • Source: Mathematics (MDPI)

  • The Shape Parameter in the Shifted Surface Spline—An Easily Accessible Approach

    • Author: Lin-Tian Luh
    • Year: 2022
    • Source: Mathematics (MDPI)

  • A Direct Prediction of the Shape Parameter—A Purely Scattered Data Approach

    • Author: Lin-Tian Luh
    • Year: 2020
    • Source: Engineering Analysis with Boundary Elements (EABE)

  • The Choice of the Shape Parameter–A Friendly Approach

    • Author: Lin-Tian Luh
    • Year: 2019
    • Source: Engineering Analysis with Boundary Elements (Elsevier)

  • The Mystery of the Shape Parameter III

    • Author: Lin-Tian Luh
    • Year: 2016
    • Source: Applied and Computational Harmonic Analysis (Elsevier)

  • The Mystery of the Shape Parameter IV

    • Author: Lin-Tian Luh
    • Year: 2014
    • Source: Engineering Analysis with Boundary Elements (Elsevier)

  • The Shape Parameter in the Gaussian Function II

    • Author: Lin-Tian Luh
    • Year: 2013
    • Source: Engineering Analysis with Boundary Elements (Elsevier)

  • The Shape Parameter in the Gaussian Function

    • Author: Lin-Tian Luh
    • Year: 2012
    • Source: Computers and Mathematics with Applications (Elsevier)

  • The Shape Parameter in the Shifted Surface Spline III

    • Author: Lin-Tian Luh
    • Year: 2012
    • Source: Engineering Analysis with Boundary Elements (Elsevier)

  • Evenly Spaced Data Points and Radial Basis Functions

    • Author: Lin-Tian Luh
    • Year: 2011
    • Source: WIT Transactions on Modelling and Simulation

  • The Crucial Constants in the Exponential-Type Error Estimates for Gaussian Interpolation

    • Author: Lin-Tian Luh
    • Year: 2008
    • Source: Analysis in Theory and Applications

  • A Direct Prediction of the Shape Parameter in the Collocation Method of Solving Poisson Equation (Preprint)

    • Author: Lin-Tian Luh
    • Year: 2022
    • Source: Multidisciplinary Digital Publishing Institute (MDPI Preprints)

 

Vladimir Kodnyanko | Applied Mathematics | Best Researcher Award

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Dr. Vladimir Kodnyanko | Applied Mathematics | Best Researcher Award

Professor at Siberian Federal University, Russia

Professor Vladimir Kodnyanko, a Doctor of Technical Sciences, serves as a Professor in the Department of Standardization, Metrology, and Quality Management at the Polytechnic Institute of Siberian Federal University. Born on October 26, 1951, in Podtiosovo, Krasnoyarsk Territory, he graduated from Krasnoyarsk State University in 1974 with a degree in Mathematics. His career at Krasnoyarsk Polytechnic Institute began in 1974, progressing from junior researcher to full professor by 2002. Professor Kodnyanko earned his Ph.D. in 1983 from the Research Institute of Mechanical Engineering, Moscow, and his Doctorate in Technical Sciences in 2005 from Krasnoyarsk State Technical University. His research focuses on rapid mathematical modeling and the development of gas-static and hydrostatic bearings, leading to 186 publications, including six monographs, and 39 patents. He has been recognized with multiple honors, such as the honorary title of professor at KSTU in 2001 and an honorary diploma from the Russian Union of Industrialists and Entrepreneurs in 2011. In 2015, he joined the joint dissertation council at SFU and the Institute of Mathematical Modeling SB RAS.

Professional Profile 

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Education

Professor Vladimir Kodnyanko was born on October 26, 1951, in Podtiosovo, Krasnoyarsk Territory. He pursued higher education at Krasnoyarsk State University, earning a degree in Mathematics in 1974. His academic journey continued with postgraduate studies, leading to a Ph.D. in 1983 from the Research Institute of Mechanical Engineering, Moscow. Demonstrating his commitment to scientific advancement, he obtained his Doctorate in Technical Sciences in 2005 from Krasnoyarsk State Technical University. Throughout his educational journey, Professor Kodnyanko developed a strong foundation in mathematical modeling and engineering applications, which later became central to his research. His expertise in applied mathematics and mechanical engineering has greatly contributed to his innovative approaches in the field of gas-static and hydrostatic bearings. His educational achievements laid the groundwork for a distinguished career in academia, research, and technological development, positioning him as a leading expert in standardization, metrology, and quality management.

Professional Experience

Professor Vladimir Kodnyanko’s professional career spans several decades, beginning in 1974 when he joined Krasnoyarsk Polytechnic Institute as a junior researcher. Over the years, he steadily advanced through academic ranks, serving as an assistant, associate professor, and eventually earning the title of full professor in 2002. His expertise and contributions led him to the Polytechnic Institute of Siberian Federal University, where he currently serves as a professor in the Department of Standardization, Metrology, and Quality Management. His career is marked by active participation in academic councils and professional organizations, including his role in the joint dissertation council at SFU and the Institute of Mathematical Modeling SB RAS. Professor Kodnyanko has also been instrumental in mentoring young researchers, supervising doctoral students, and leading research projects in applied mathematics and engineering. His dedication to academia has significantly influenced the development of precision engineering and mathematical modeling techniques.

Research Interest

Professor Vladimir Kodnyanko’s research focuses on rapid mathematical modeling, with a particular emphasis on gas-static and hydrostatic bearings. His work integrates applied mathematics and engineering principles to enhance the efficiency and performance of high-precision mechanical systems. His studies explore the dynamics of fluid lubrication, optimization of bearing structures, and the application of mathematical models to predict system behavior under various operating conditions. His research has practical applications in aerospace, automotive, and industrial machinery, where high-performance bearings are critical for operational reliability. Professor Kodnyanko has authored 186 scientific publications, including six monographs, and holds 39 patents related to his innovations in mechanical engineering. His pioneering work has contributed significantly to advancing the field of tribology, improving the design and functionality of precision bearings used in various industries. Through his research, he continues to bridge the gap between theoretical mathematics and practical engineering applications.

Awards and Honors

Throughout his distinguished career, Professor Vladimir Kodnyanko has received numerous awards and honors recognizing his contributions to science and engineering. In 2001, he was awarded the honorary title of professor at Krasnoyarsk State Technical University in acknowledgment of his academic and research achievements. His dedication to advancing mathematical modeling and mechanical engineering earned him an honorary diploma from the Russian Union of Industrialists and Entrepreneurs in 2011. His contributions to the field of precision engineering and bearing technology have positioned him as a leading expert in his domain. In addition to institutional honors, he has been actively involved in national and international scientific communities, further solidifying his influence in engineering research. His recognition extends beyond academia, as his work has practical industrial applications that have improved the efficiency and reliability of mechanical systems. His awards reflect his lasting impact on science, engineering, and technological innovation.

Conclusion

Professor Vladimir Kodnyanko’s career exemplifies dedication to research, education, and technological advancement. With a strong foundation in mathematics and engineering, he has made groundbreaking contributions to rapid mathematical modeling and the development of gas-static and hydrostatic bearings. His extensive body of work, including 186 scientific publications and 39 patents, showcases his influence in precision engineering. As a professor at the Polytechnic Institute of Siberian Federal University, he continues to shape the next generation of researchers and engineers. His leadership in academic councils, research institutions, and industrial collaborations highlights his commitment to advancing scientific knowledge and engineering applications. Recognized with multiple prestigious awards, he remains a respected authority in his field. Through his research, mentorship, and professional contributions, Professor Kodnyanko has left an indelible mark on applied mathematics and mechanical engineering, inspiring future innovations in the field.

Publications Top Noted

  • Title: Theoretical Study of the Static and Dynamic Characteristics of a Slotted Adaptive Hydrostatic Thrust Bearing with a Regulator of the Lubricant Output Flow
    Authors: V.A. Kodnyanko, A.S. Kurzakov, A.V. Surovtsev, S. Belyakova, L. Gogol
    Year: 2022
    Citations: 1
    Source: Mathematics

  • Title: Theoretical Study on Compliance and Stability of Active Gas-Static Journal Bearing with Output Flow Rate Restriction and Damping Chambers
    Authors: V.A. Kodnyanko, A.S. Kurzakov, O. Grigorieva, A.V. Surovtsev, L.V. Strok
    Year: 2021
    Citations: Not specified
    Source: Lubricants

  • Title: Theoretical Study on Dynamics Quality of Aerostatic Thrust Bearing with External Combined Throttling
    Authors: V.A. Kodnyanko, S.N. Shatokhin
    Year: 2020
    Citations: 21
    Source: FME Transactions 48 (2)

  • Title: Mathematical Modeling on Statics and Dynamics of Aerostatic Thrust Bearing with External Combined Throttling and Elastic Orifice Fluid Flow Regulation
    Authors: V. Kodnyanko, S. Shatokhin, A. Kurzakov, Y. Pikalov
    Year: 2020
    Citations: 16
    Source: Lubricants 8 (5), 57

  • Title: Method for Calculating the Static Characteristics of Radial Hydrostatic Compensator of Machine Tool Bearings Deformation
    Authors: V.A. Kodnyanko
    Year: 2021
    Citations: 4
    Source: Periodica Polytechnica Transportation Engineering 49 (2), 114-119

  • Title: Compliance of Gas-Dynamic Bearing with Elastic Compensator of Movement
    Authors: V.A. Kodnyanko, A.S. Kurzakov
    Year: 2017
    Citations: 3
    Source: Journal of Siberian Federal University. Engineering & Technologies 10 (5), 657

  • Title: Directional Splines for Economic Analytics
    Authors: V. Kodnyanko
    Year: 2020
    Citations: 2
    Source: Economic Computation & Economic Cybernetics Studies & Research 54 (3)

  • Title: On Computational Redundancy of the Dichotomous Search and Conditional Minimization of Unimodal Functions by the Economical Dichotomous Search
    Authors: V.A. Kodnyanko
    Year: 2019
    Citations: 2
    Source: Sistemy i Sredstva Informatiki [Systems and Means of Informatics] 29 (1)

  • Title: Stability of Energy-Saving Adaptive Journal Hydrostatic Bearing with a Restriction of the Output Lubricant Stream
    Authors: V.A. Kodnyanko
    Year: 2012
    Citations: 2
    Source: Engineering & Technologies 4 (6), 674-684

 

Samir Brahim Belhaouari | Applied Mathematics | Best Researcher Award

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Assoc. Prof. Dr. Samir Brahim Belhaouari | Applied Mathematics | Best Researcher Award

Associate Prof at College of Science and Engineering /Hamad Bin Khalifa University, Qatar

Dr. Samir Brahim Belhaouari is an accomplished Associate Professor at Hamad Bin Khalifa University, specializing in applied mathematics, optimization, pattern recognition, and machine learning. He holds a Ph.D. in Mathematical Sciences from the prestigious Federal Polytechnic School of Lausanne and a Master’s degree in Networks and Telecommunications from INP/ENSEEIHT in France. Dr. Belhaouari has over 300 published research papers and has made significant contributions to areas such as sustainable AI, bio-inspired neural networks, time-frequency transformations for prediction, and cryptography. His work has earned him numerous accolades, including Gold and Silver Medals at international exhibitions. He has been actively involved in global academic initiatives, with research collaborations in Europe, the USA, and the Middle East, and has led impactful research projects, such as AI solutions for medical imaging. With over 3,800 citations and an H-index of 32, Dr. Belhaouari’s innovative work continues to shape the future of applied mathematics and AI.

Professional Profile 

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Education

Dr. Samir Brahim Belhaouari completed his Ph.D. in Mathematical Sciences, focusing on stochastic processes and their applications, at the prestigious Federal Polytechnic School of Lausanne (EPFL) in Switzerland in 2006. Prior to that, he earned a Master’s degree in Networks and Telecommunications, specializing in signal and image processing, from INP/ENSEEIHT in France in 2000. This strong educational foundation has been key to his outstanding career in applied mathematics, optimization, and machine learning. His educational journey reflects a commitment to excellence and a deep understanding of complex mathematical and computational theories, which he continues to apply in his innovative research projects.

Professional Experience

Dr. Belhaouari is an Associate Professor in the Division of Information and Computing Technology at Hamad Bin Khalifa University, Qatar. His career includes previous academic positions at the University of Sharjah, Radiological Technologies University-VT, and INNOPOLIS University in Russia. He has also worked with top institutions such as EPFL and INP. His professional experience spans various continents, providing a global perspective on educational and research practices. Additionally, his extensive involvement in research projects and university leadership showcases his dedication to advancing both academic and practical knowledge.

Research Interest

Dr. Samir Brahim Belhaouari’s research interests encompass a wide array of topics, primarily focusing on applied mathematics, AI, machine learning, and optimization. His work delves into stochastic processes, bio-inspired neural networks, time-frequency transformations for time-series prediction, cryptographic algorithms, and sustainable AI. Notable projects include the development of green AI technologies, new neural network architectures, and advanced algorithms for feature extraction and video summarization. His research aims to bridge theoretical mathematics with real-world applications, particularly in fields like medical imaging, bioinformatics, and cryptography, thus contributing to the advancement of science and technology.

Award and Honor

Dr. Belhaouari’s groundbreaking research has been recognized globally with multiple awards, including Gold and Silver Medals at international exhibitions. His contributions to the field of applied mathematics and AI have earned him high regard in academia. With an impressive citation index exceeding 3,800 and an H-index of 32, his work is highly influential in both theoretical and applied contexts. Furthermore, his leadership in various international academic initiatives and his role in establishing INNOPOLIS University highlight his commitment to advancing education and research worldwide.

Conclusion

Dr. Samir Brahim Belhaouari is a distinguished academic and researcher whose work has made a significant impact on applied mathematics, AI, and machine learning. His expertise spans a wide range of subjects, from stochastic processes and optimization to cryptography and bioinformatics. His extensive professional experience and global research collaborations have cemented his reputation as a thought leader in his field. Through his dedication to both teaching and groundbreaking research, Dr. Belhaouari continues to contribute to the advancement of knowledge and the development of innovative solutions to real-world challenges. His recognition with numerous awards and honors serves as a testament to his excellence and lasting influence.

Publications Top Noted

  • Title: t-SNE-PSO: Optimizing t-SNE using particle swarm optimization
    Authors: M. Allaoui, S. Birahim Belhaouari, R. Hedjam, K. Bouanane, M.L. Kherfi
    Year: 2025
    Source: Expert Systems with Applications

  • Title: KNNOR-Reg: A python package for oversampling in imbalanced regression
    Authors: S. Birahim Belhaouari, A. Islam, K. Kassoul, A.I. Al-Fuqaha, A. Bouzerdoum
    Year: 2025
    Source: Software Impacts

  • Title: Intelligent mask image reconstruction for cardiac image segmentation through local–global fusion
    Authors: A. Boukhamla, A. Nabiha, S. Birahim Belhaouari
    Year: 2025
    Source: Applied Intelligence

  • Title: G-EEGCS: Graph-based optimum electroencephalogram channel selection
    Authors: I. Faye, M.Z. Yusoff, S. Birahim Belhaouari
    Year: 2024
    Source: Biomedical Signal Processing and Control

  • Title: Reinforced steering Evolutionary Markov Chain for high-dimensional feature selection
    Authors: A.U. Rehman, S. Birahim Belhaouari, A. Bermak
    Year: 2024
    Citations: 2
    Source: Swarm and Evolutionary Computation

  • Title: Defense against adversarial attacks: robust and efficient compressed optimized neural networks
    Authors: I. Kraidia, A. Ghenai, S. Birahim Belhaouari
    Year: 2024
    Citations: 3
    Source: Scientific Reports

  • Title: Exploring new horizons in neuroscience disease detection through innovative visual signal analysis
    Authors: N.S. Amer, S. Birahim Belhaouari
    Year: 2024
    Citations: 6
    Source: Scientific Reports

  • Title: A novel few shot learning derived architecture for long-term HbA1c prediction
    Authors: M.K. Qaraqe, A. Elzein, S. Birahim Belhaouari, M.S. Ilam, G. Petrovski
    Year: 2024
    Citations: 2
    Source: Scientific Reports

  • Title: Elevating recommender systems: Cutting-edge transfer learning and embedding solutions
    Authors: A. Fareed, S. Hassan, S. Birahim Belhaouari, Z. Halim
    Year: 2024
    Citations: 1
    Source: Applied Soft Computing Journal

  • Title: FairColor: An efficient algorithm for the Balanced and Fair Reviewer Assignment Problem
    Authors: K. Bouanane, A.N. Medakene, A. Benbelghit, S. Birahim Belhaouari
    Year: 2024
    Citations: 1
    Source: Information Processing and Management

 

Paula Beatriz Morales Bañuelos | Applied Mathematics | Best Paper Award

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Dr. Paula Beatriz Morales Bañuelos | Applied Mathematics | Best Paper Award

Academic and researcher at Universidad Iberoamericana, Mexico city, Mexico

Dr. Paula Beatriz Morales Bañuelos is a distinguished Mexican academic specializing in finance and engineering. She holds a Master’s in Engineering from Universidad Iberoamericana, Mexico City, and a Doctorate in Business Administration and Management from Universidad Politécnica de Valencia, Spain, where she graduated with Cum Laude honors. Her doctoral research focused on credit spread determination using structural and mixed models in emerging economies, particularly Mexico. Dr. Morales Bañuelos has also earned multiple master’s degrees from the Instituto Tecnológico Autónomo de México (ITAM), each with honors, covering Economic Theory, Administration, and Finance. Professionally, she serves as a Full-Time Professor in the Department of Business Studies at Universidad Iberoamericana, where she has held various leadership roles, including coordinating bachelor’s programs and technical university programs. Her research contributions are notable, with publications in international peer-reviewed journals addressing topics such as option pricing models and credit risk assessment. Dr. Morales Bañuelos’s extensive academic background and research endeavors have significantly advanced financial modeling and analysis.

Professional Profile 

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Education

Paula Beatriz Morales Bañuelos has an extensive academic background in finance and engineering. She earned a Bachelor’s degree in Public Accounting from the Instituto Tecnológico Autónomo de México (ITAM), followed by three Master’s degrees from the same institution: in Finance, Administration, and Economic Theory. She further pursued a Master of Science in Engineering at the Universidad Iberoamericana in Mexico City, where she focused her thesis on “Pricing Options with the Modified BSM Model.” Recently, she completed her Doctorate in Business Administration and Management at the Universidad Politécnica de Valencia, Spain, graduating with Cum Laude honors. Her doctoral research centered on “Setting the Credit Spread Using Structural and Mixed Models,” with an empirical application in the Mexican context. This diverse educational journey underscores her deep expertise in financial modeling and her commitment to advancing knowledge in her field.

Professional Experience

Paula Beatriz Morales Bañuelos is a distinguished academic and professional in finance and accounting. She has held significant roles at the Universidad Iberoamericana in Mexico City, including Coordinator of Bachelor’s Degrees in Accounting and Business Management/Accounting and Business Direction from November 2021 to February 2023, and Full-Time Professor in the Department of Business Studies since November 2016. In these positions, she has been instrumental in curriculum development, notably redesigning the finance program implemented in August 2021. Prior to her tenure at Universidad Iberoamericana, Morales Bañuelos served at the Instituto Tecnológico Autónomo de México (ITAM) as a Full-Time Professor in the Department of Accounting from August 1996 to May 2016. She also held leadership roles at ITAM, including Director of the Public Accounting and Financial Strategy Program and Head of the Department of Accounting. Her professional journey began at KPMG, where she worked as a Junior Advisor in the Tax Advisory Area from January 1994 to July 1996. Throughout her career, Morales Bañuelos has demonstrated a commitment to advancing financial education and practice in Mexico.

Research Interest

Paula Beatriz Morales Bañuelos’s research interests are deeply rooted in financial mathematics, with a particular focus on option pricing models and credit risk assessment. Her work on modifying the Black-Scholes-Merton model aims to enhance its applicability in markets where traditional assumptions may not hold, reflecting her commitment to advancing option pricing theory. Additionally, she has explored the determination of credit spreads using structural and mixed models, applying her findings to emerging economies like Mexico. Beyond these areas, Morales Bañuelos has investigated the inclusion of socially irresponsible companies in sustainable stock indices, contributing to the discourse on corporate social responsibility and ethical investing. Her diverse research portfolio underscores a dedication to both theoretical advancements and practical applications in finance, particularly within the context of emerging markets.

Award and Honor

Paula Beatriz Morales Bañuelos has been recognized for her significant contributions to finance and business administration. In November 2017, she received an Honorable Mention in the National IMEF Award for her work titled “Analysis of Financial Valuation Models for Determining the Fair Value of Companies in Emerging Markets.” Earlier, in November 2005, she secured Second Place in the same award for her study on the “Incorporation of Uncertainty in Financial Statements.” Additionally, since January 2021, Paula has been a Candidate for Researcher, a distinction granted by the National System of Researchers (SNI) of CONAHCYT, acknowledging her ongoing commitment to research excellence.

Conclusion

Paula Beatriz Morales Bañuelos’s research critically examines the efficacy of traditional financial models in emerging markets, with a particular focus on option pricing and credit spread determination. In her study titled “A Modified Black-Scholes-Merton Model for Option Pricing,” she introduces a model inspired by conformable calculus, aiming to provide greater flexibility for markets where the standard Black-Scholes-Merton model may not be as effective. Additionally, her work on “Default Probabilities and the Credit Spread of Mexican Companies: The Modified Merton Model” evaluates various models to identify the one that best approximates the credit spreads for Mexican non-financial companies. Her findings suggest that the modified Merton model offers a closer approximation to the credit spreads applied to loans in the Mexican context. Through these contributions, Morales Bañuelos enhances the understanding of financial modeling in emerging economies, addressing the limitations of traditional models and proposing modifications to improve their applicability.

Publications Top Noted

  • Title: “The Inclusion of Socially Irresponsible Companies in Sustainable Stock Indices”

    • Authors: Iván Arribas, María Dolores Espinós-Vañó, Fernando García, Paula Beatriz Morales-Bañuelos
    • Year: 2019
    • Citations: 55

  • Title: “A Modified Black-Scholes-Merton Model for Option Pricing”

    • Authors: Paula Morales-Bañuelos, N. Muriel, G. Fernández-Anaya
    • Year: 2022
    • Citations: 22

  • Title: “Fijación del precio de una opción financiera mediante el modelo del Black Scholes Merton modificado”

    • Authors: Paula Beatriz Morales Bañuelos
    • Year: 2024
    • Source: Universidad Iberoamericana Ciudad de México, Departamento de Estudios en …

  • Title: “Default Probabilities and the Credit Spread of Mexican Companies: The Modified Merton Model”

    • Authors: Paula Morales-Bañuelos, Guillermo Fernández-Anaya
    • Year: 2023
    • Source: Mathematics, Volume 11, Issue 20, Article 4397

  • Title: “Default Probabilities and the Credit Spread, Modified Merton model, Mexican Case”

    • Authors: Paula Morales-Bañuelos, Guillermo Fernández-Anaya
    • Year: 2023
    • Source: Preprints

  • Title: “Selecting the model with the best fair value estimate in an emerging market”

    • Authors: Paula Morales Bañuelos
    • Year: 2020
    • Source: Revista Mexicana de Economía y Finanzas, Volume 15, Issue 1, Pages 81-103

  • Title: “Análisis de la evasión fiscal proveniente del mercado informal mediante opciones reales y teoría de juegos”

    • Authors: Jorge Smeke Zwaiman, Paula Beatriz Morales Bañuelos, Luis Huerta García
    • Year: 2018
    • Source: [Specific publication details not provided]

  • Title: “Fijación del diferencial de crédito mediante modelos Estructurales y Mixtos. Aplicación empírica en una economía emergente: el caso mexicano”

    • Authors: Paula Beatriz Morales Bañuelos
    • Year: [Year not specified]
    • Source: Universitat Politècnica de València

  • Title: “Costos Gerenciales”

    • Authors: Luis Huerta García, Jorge Smeke Zwaiman, Paula Morales Bañuelos
    • Year: 2018
    • Citations: 8

  • Title: “Eficiencia Recaudatoria: Definición, Estimación e Incidencia en la Evasión”

    • Authors: R. Samaniego Breach, Paula Morales Bañuelos, H. Bettinger
    • Year: 2009
    • Citations: 7

  • Title: “Selección del Modelo de Mejor Estimación del Valor Razonable en un Mercado Emergente”

    • Author: Paula Morales Bañuelos
    • Year: 2020
    • Citations: 4