Professor in Mathematics at Tunis El Manar University, Tunisia

Dr. Abdeljabbar Ghanmi is an accomplished mathematician specializing in differential equations, fractional calculus, variational methods, and mathematical analysis. Currently an Associate Professor at the University of Jeddah, Saudi Arabia, he has an extensive academic and research background, having previously held positions in Tunisia. His research focuses on partial differential equations, dynamical systems, nonlinear systems, and optimization, with numerous publications in high-impact journals. Dr. Ghanmi collaborates with renowned mathematicians such as Prof. Vicentiu Radulescu and Prof. Dušan D. Repovš, reflecting his global research engagement. He has supervised multiple doctoral and master’s students, contributing significantly to mathematical education. His work has gained substantial recognition, evidenced by citations and active participation in international awards. In addition to his research, he serves as a reviewer for scientific journals. Dr. Ghanmi’s contributions to mathematical sciences, mentorship, and interdisciplinary collaborations position him as a distinguished researcher in his field.

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Education

Dr. Abdeljabbar Ghanmi holds a strong academic background in mathematics, having earned his Ph.D. in Applied Mathematics from a prestigious institution. His doctoral research focused on differential equations, variational methods, and mathematical analysis, laying the foundation for his expertise in nonlinear systems and dynamical models. Prior to his Ph.D., he obtained a Master’s degree in Mathematical Sciences, where he explored advanced topics in functional analysis and optimization. His undergraduate studies provided a rigorous foundation in pure and applied mathematics, enabling him to develop a deep understanding of fundamental mathematical principles. Throughout his academic journey, Dr. Ghanmi has demonstrated exceptional analytical skills, excelling in complex problem-solving and mathematical modeling. His educational achievements reflect his commitment to advancing mathematical research, and his interdisciplinary approach bridges theoretical mathematics with real-world applications. His academic credentials have prepared him for a distinguished career in research and education, fostering innovation in mathematical sciences.

Professional Experience

Dr. Abdeljabbar Ghanmi is an Associate Professor at the University of Jeddah, Saudi Arabia, where he actively engages in teaching, research, and academic mentorship. Before joining the University of Jeddah, he held academic positions in Tunisia, contributing to the development of mathematics education and research. With years of experience in higher education, he has taught advanced courses in differential equations, mathematical analysis, and optimization, shaping the next generation of mathematicians. His role extends beyond teaching, as he supervises Ph.D. and master’s students, guiding them in their research endeavors. Dr. Ghanmi is a dedicated researcher, collaborating with international experts in mathematics to produce high-quality publications in peer-reviewed journals. Additionally, he serves as a reviewer for prestigious scientific journals, ensuring the integrity and advancement of mathematical research. His professional experience highlights his commitment to both education and the expansion of mathematical knowledge through innovative research and scholarly contributions.

Research Interest

Dr. Abdeljabbar Ghanmi’s research interests span a wide range of mathematical disciplines, with a particular focus on differential equations, fractional calculus, variational methods, and nonlinear dynamical systems. His work explores the theoretical and applied aspects of mathematical analysis, contributing to the advancement of knowledge in functional spaces, optimization techniques, and stability theory. His research integrates classical and modern mathematical approaches to solve complex problems in engineering, physics, and applied sciences. Dr. Ghanmi actively collaborates with leading mathematicians such as Prof. Vicentiu Radulescu and Prof. Dušan D. Repovš, engaging in interdisciplinary research that bridges pure mathematics with practical applications. His studies on fractional differential equations and dynamical systems have significant implications in modeling real-world phenomena. His dedication to research is evident through his numerous high-impact publications, award presentations, and involvement in peer-reviewing processes, ensuring the continuous evolution of mathematical sciences.

Awards and Honors

Dr. Abdeljabbar Ghanmi has received multiple recognitions for his outstanding contributions to mathematics. His research has been acknowledged through various academic and research awards, reflecting his impact on mathematical sciences. He has been invited to speak at international awards, demonstrating the significance of his contributions to the global mathematical community. His work has garnered significant citations, highlighting its influence on contemporary mathematical research. In addition to his scholarly achievements, Dr. Ghanmi has received recognition from esteemed institutions for his dedication to mentoring students and advancing mathematical education. His collaborations with leading researchers and his active participation in editorial and reviewing committees further underscore his reputation as a distinguished mathematician. These accolades reflect his unwavering commitment to excellence in research, education, and the broader mathematical community, solidifying his position as a respected figure in the field of applied mathematics.

Conclusion

Dr. Abdeljabbar Ghanmi is a highly respected mathematician whose expertise in differential equations, fractional calculus, and mathematical analysis has significantly contributed to the advancement of mathematical sciences. As an Associate Professor at the University of Jeddah, he has played a crucial role in shaping the academic and research landscape through his mentorship, teaching, and scholarly work. His research collaborations with leading mathematicians and his extensive publication record underscore his dedication to expanding mathematical knowledge. Through his contributions to mathematical education and his commitment to interdisciplinary research, Dr. Ghanmi has made a lasting impact on the field. His numerous awards and recognitions attest to the quality and significance of his work. With a career dedicated to both theoretical and applied mathematics, Dr. Ghanmi continues to be an influential figure, fostering innovation and excellence in research and education. His contributions have left an indelible mark on the global mathematical community.

Publications Top Noted

Fractional Calculus and Thermal Analysis

An analytical study on the fractional transient heating within the skin tissue during the thermal therapy
- Authors: A. Ghanmi, I.A. Abbas
- Year: 2019
- Citations: 114
- Source: Journal of Thermal Biology 82, 229-233

Fractional and p-Laplacian Problems

A multiplicity results for a singular problem involving the fractional p-Laplacian operator
- Authors: A. Ghanmi, K. Saoudi
- Year: 2016
- Citations: 68
- Source: Complex Variables and Elliptic Equations 61 (9), 1199-1216
A multiplicity results for a singular equation involving the p(x)-Laplace operator
- Authors: K. Saoudi, A. Ghanmi
- Year: 2017
- Citations: 65
- Source: Complex Variables and Elliptic Equations 62 (5), 695-725
The Nehari manifold for a singular elliptic equation involving the fractional Laplace operator
- Authors: A.G.K. Saoudi
- Year: 2016
- Citations: 63
- Source: Fractional Differential Calculus 6 (2), 201-217

Boundary Value Problems and Riemann–Liouville Derivative

The Nehari manifold for a boundary value problem involving Riemann–Liouville fractional derivative
- Authors: K. Saoudi, P. Agarwal, P. Kumam, A. Ghanmi, P. Thounthong
- Year: 2018
- Citations: 47
- Source: Advances in Difference Equations 2018, 1-18

Nonlinear Schrödinger Equations

Large and bounded solutions for a class of nonlinear Schrödinger stationary systems
- Authors: V.R.N.Z. Abdeljabbar Ghanmi, Habib Maagli
- Year: 2009
- Citations: 41
- Source: Analysis and Application 7 (4), 391-404

Kirchhoff-type and Singular Equations

Minimax method involving singular p(x)-Kirchhoff equation
- Authors: K. Ben Ali, A. Ghanmi, K. Kefi
- Year: 2017
- Citations: 39
- Source: Journal of Mathematical Physics 58 (11)
Nontrivial solutions for Kirchhoff-type problems involving the -Laplace operator
- Authors: A. Ghanmi
- Year: 2018
- Citations: 21
- Source: –

Singular and Indefinite Weight Problems

Existence of solution for a singular fractional Laplacian problem with variable exponents and indefinite weights
- Authors: R. Chammem, A. Ghanmi, A. Sahbani
- Year: 2021
- Citations: 28
- Source: Complex Variables and Elliptic Equations 66 (8), 1320-1332
On the Steklov problem involving the p(x)-Laplacian with indefinite weight
- Authors: K.B. Ali, A. Ghanmi, K. Kefi
- Year: 2017
- Citations: 24
- Source: Opuscula Mathematica 37 (6), 779-794

Existence and Multiplicity of Solutions in Fractional Differential Equations

Existence of solutions for fractional differential equations with Dirichlet boundary conditions
- Authors: K.B. Ali, A. Ghanmi, K. Kefi
- Year: 2016
- Citations: 25
- Source: Electronic Journal of Differential Equations 116, 1-11
Existence of positive solutions for a coupled system of nonlinear fractional differential equations
- Authors: A. Ghanmi, S. Horrigue
- Year: 2019
- Citations: 23
- Source: Ukrainian Mathematical Journal 71, 39-49
Existence of positive bounded solutions for some nonlinear elliptic systems
- Authors: N.Z. A. Ghanmi, H. Mâagli, S. Turki
- Year: 2009
- Citations: 23
- Source: Journal of Mathematical Analysis and Applications 352, 440-448

Nehari Manifold and Fractional Boundary Value Problems

Nehari manifold and multiplicity results for a class of fractional boundary value problems with p-Laplacian
- Authors: A. Ghanmi, Z. Zhang
- Year: 2019
- Citations: 22
- Source: Bulletin of the Korean Mathematical Society 56 (5), 1297-1314
Multiplicity of Nontrivial Solutions of a Class of Fractional p-Laplacian Problem
- Authors: A. Ghanmi
- Year: 2015
- Citations: 20
- Source: Zeitschrift für Analysis und ihre Anwendungen (Journal of Analysis and its Applications)
A multiplicity results for a singular problem involving a Riemann-Liouville fractional derivative
- Authors: A. Ghanmi, M. Kratou, K. Saoudi
- Year: 2018
- Citations: 19
- Source: Filomat 32 (2), 653-669

Styklov Problems and Fractional Analysis

Existence and multiplicity of solutions for some Styklov problem involving p(x)-Laplacian operator
- Authors: R. Chammem, A. Ghanmi, A. Sahbani
- Year: 2022
- Citations: 17
- Source: Applicable Analysis 101 (7), 2401-2417
Existence result and uniqueness for some fractional problem
- Authors: G. Wang, A. Ghanmi, S. Horrigue, S. Madian
- Year: 2019
- Citations: 16
- Source: Mathematics 7 (6), 516
Existence Results for Nonlinear Boundary Value Problems
- Authors: A. Ghanmi, S. Horrigue
- Year: 2018
- Citations: 15
- Source: Filomat 32 (2), 609-618

liang cao | Interdisciplinary Mathematics | Best Researcher Award

Published on 21/02/202521/02/2025 by Math Scientist

Dr. liang cao | Interdisciplinary Mathematics | Best Researcher Award

lecturer at Hunan Institute of Engineering, China

Dr. Liang Cao, a faculty member at the Hunan Institute of Engineering, specializes in reliability analysis, wind energy technology, and advanced manufacturing. With a strong academic foundation from Xiangtan University, he has led funded research projects, including one supported by the Natural Science Foundation of Hunan Province. His contributions to structural reliability analysis include developing machine learning-based surrogate models for evaluating low failure probabilities, advancing computational efficiency in engineering. He has published in high-impact journals such as Smart Materials and Structures and Probabilistic Engineering Mechanics and holds multiple patents in mechanical engineering. A member of the Society of Mechanical Engineering, Dr. Cao’s research significantly impacts reliability-based design optimization, particularly in wind turbine gearboxes and robotic mechanisms. While his academic influence is growing, enhancing citation impact, industry collaborations, and editorial leadership could further strengthen his profile. His work continues to shape advancements in probabilistic mechanics and reliability engineering.

Professional Profile

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Education

Dr. Liang Cao obtained his academic training from Xiangtan University, where he specialized in mechanical engineering. His education provided a strong foundation in reliability analysis, wind energy technology, and advanced manufacturing. During his academic journey, he gained expertise in probabilistic mechanics, structural safety, and optimization techniques, which later became the focus of his research. His studies emphasized the integration of computational modeling and experimental methods, equipping him with the skills necessary for advancing engineering reliability. Through coursework and research projects, he developed a deep understanding of mechanical system optimization, particularly in developing surrogate models for evaluating failure probabilities. His education laid the groundwork for his career in academia, where he continues to apply theoretical and computational approaches to improve structural and mechanical reliability. With a commitment to academic excellence, Dr. Cao remains engaged in continuous learning and professional development to further enhance his contributions to the field.

Professional Experience

Dr. Liang Cao serves as a faculty member at the Hunan Institute of Engineering, where he contributes to teaching and research in mechanical engineering. His expertise in reliability analysis and design optimization has enabled him to guide students and researchers in developing innovative solutions for mechanical system reliability. Over the years, he has successfully led projects funded by the Natural Science Foundation of Hunan Province, further solidifying his reputation as an expert in the field. His work integrates computational modeling, machine learning, and structural safety to improve the performance of mechanical systems, particularly in wind turbine gearboxes and robotic mechanisms. Beyond research, he is actively involved in mentoring students and collaborating with peers to advance mechanical engineering methodologies. While he has made significant strides in academia, expanding his industry collaborations and assuming editorial or leadership roles would further strengthen his professional influence and contributions to the field.

Research Interest

Dr. Liang Cao’s research focuses on reliability analysis, probabilistic mechanics, and structural optimization in mechanical engineering. His work integrates machine learning techniques with reliability-based design optimization to improve the efficiency and accuracy of failure predictions. A key aspect of his research is the development of surrogate models, such as Radial Basis Function Neural Networks (RBFNN), for evaluating low failure probabilities with enhanced computational efficiency. His studies have direct applications in wind turbine gearboxes, robotic mechanisms, and piezoelectric dispensing systems, contributing to safer and more robust mechanical designs. Additionally, he explores multi-source uncertainty modeling to enhance structural reliability under variable conditions. His research is published in high-impact journals such as Smart Materials and Structures and Probabilistic Engineering Mechanics. Moving forward, expanding interdisciplinary collaborations and securing larger research grants could amplify the impact of his work on global mechanical engineering challenges.

Awards and Honors

Dr. Liang Cao has received recognition for his contributions to mechanical engineering, particularly in reliability analysis and probabilistic mechanics. His research achievements have been supported by the Natural Science Foundation of Hunan Province, which funded his work on sliding bearing lubrication reliability in fan gearboxes. Additionally, his multiple patents reflect his innovative contributions to structural safety and optimization in mechanical systems. While he has gained credibility through journal publications in esteemed outlets such as Probabilistic Engineering Mechanics and Smart Materials and Structures, broader recognition through industry awards and professional society honors could further elevate his profile. Active participation in international research collaborations and engineering awards may increase his chances of securing prestigious research awards. By continuing to contribute to mechanical engineering advancements, Dr. Cao has the potential to earn more accolades, further solidifying his standing as a leading researcher in reliability engineering and mechanical system optimization.

Conclusion

Dr. Liang Cao is an accomplished researcher in mechanical engineering, specializing in reliability analysis, probabilistic mechanics, and structural optimization. With a strong educational foundation from Xiangtan University and professional experience at the Hunan Institute of Engineering, he has made significant contributions to enhancing mechanical system safety and efficiency. His research, funded by the Natural Science Foundation of Hunan Province, has led to innovative developments in surrogate modeling and uncertainty analysis. He has published extensively in high-impact journals and holds multiple patents, reflecting his commitment to advancing engineering methodologies. While his academic impact is commendable, expanding his industry collaborations, citation influence, and leadership roles in research communities could further enhance his professional standing. With a growing reputation in reliability engineering, Dr. Cao is poised to make even greater contributions to mechanical system design and optimization, positioning himself as a leading figure in applied engineering research.

Publications Top Noted

Title: Optimizing Dispensing Performance of Needle-Type Piezoelectric Jet Dispensers: A Novel Drive Waveform Approach
Authors: Liang Cao, S.G. Gong, Y.R. Tao, S.Y. Duan
Year: 2024
Source: Smart Materials and Structures
Title: Theoretical Study and Physical Tests on the Influence of Process Parameters of Needle on Dispensing Quality
Authors: Liang Cao, S.G. Gong, S.Y. Duan, Y.R. Tao
Year: 2023
Source: Optik
Title: A RBFNN Based Active Learning Surrogate Model for Evaluating Low Failure Probability in Reliability Analysis
Authors: Liang Cao, S.G. Gong, Y.R. Tao, S.Y. Duan
Year: 2023
Source: Probabilistic Engineering Mechanics
Title: Optimisation Design for Wind Turbine Mainshaft Bearing Based on Lubrication Reliability
Authors: Liang Cao
Year: 2020
Source: International Journal of Reliability and Safety
Title: A Novel Evidence-Based Fuzzy Reliability Analysis Method for Structures
Authors: Liang Cao
Year: 2017
Source: Structural and Multidisciplinary Optimization
Title: Safety Analysis of Structures with Probability and Evidence Theory
Authors: Liang Cao
Year: 2016
Source: International Journal of Steel Structures

Samir Brahim Belhaouari | Applied Mathematics | Best Researcher Award

Published on 17/02/202517/02/2025 by Math Scientist

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

Published on 12/02/202512/02/2025 by Math Scientist

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

Muhammad Nasim Aftab | Applied Mathematics | Best Researcher Award

Published on 08/02/202508/02/2025 by Math Scientist

Prof. Muhammad Nasim Aftab | Applied Mathematics | Best Researcher Award

Lecturer at Punjab group of colleges, Okara campus Pakistan

Muhammad Nasim Aftab is a dedicated mathematician and researcher specializing in Quantum Calculus, Integral Inequalities, and Algebra. He holds an MS in Mathematics from COMSATS University, Lahore, with a GPA of 3.62/4.00, and an M.Sc. in Mathematics from University of Education, Lahore. His research contributions include multiple publications in reputed journals, such as AIMS Mathematics, Mathematics, and the Journal of Inequalities and Applications, with several additional manuscripts under review. He has been a lecturer at Punjab Group of Colleges, Okara Campus, since 2014, teaching a wide range of mathematical subjects. His expertise extends to LaTeX, MATLAB, and Python, enhancing his computational research skills. Passionate about academia, he actively engages in problem-solving and mathematical innovations. While his work is commendable, furthering international collaborations, high-impact journal publications, and award participation could elevate his research impact. His dedication to mathematics and education makes him a strong contender for research excellence awards.

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Education

Muhammad Nasim Aftab holds a strong academic background in Mathematics, with both MS and MSc degrees in the field. He earned his Master of Science (MSc) in Mathematics from the University of Education, Lahore (Okara Campus) in 2016, securing a 3.40/4.00 GPA. His coursework covered advanced topics, including Real Analysis, Complex Analysis, Functional Analysis, Numerical Analysis, Differential Geometry, and Graph Theory. Pursuing further specialization, he completed his MS in Mathematics from COMSATS University, Islamabad (Lahore Campus) in 2021, achieving a 3.62/4.00 GPA. His MS thesis, titled “Cohen-Macaulayness in Codimension for Line Simplicial Complexes,” focused on algebraic and combinatorial aspects of simplicial complexes. Throughout his education, he excelled in subjects like Graph Theory, Fuzzy Logic, Fixed Point Theory, Mathematical Analysis, and Topology. His academic journey reflects a deep commitment to mathematical research, analytical thinking, and problem-solving, making him a strong researcher in the field.

Professional Experience

Muhammad Nasim Aftab has been serving as a Lecturer in Mathematics at Punjab Group of Colleges, Okara Campus, since 2014, where he has taught a diverse range of mathematical subjects, including Calculus, Abstract Algebra, Linear Algebra, Graph Theory, Number Theory, Differential Equations, and Mathematical Analysis. His extensive teaching experience spans both undergraduate and intermediate levels, reflecting his strong command over mathematical concepts and pedagogy. In addition to his teaching responsibilities, he has been actively engaged in research, publishing papers in reputed journals on topics such as Quantum Calculus, Integral Inequalities, and Algebra. His ability to integrate advanced mathematical theories with real-world applications showcases his expertise and dedication to the field. Furthermore, his proficiency in LaTeX, MATLAB, and Python enhances his ability to conduct numerical simulations and research-driven computations. His commitment to academia, research, and innovation makes him a valuable contributor to the field of mathematics.

Research Interest

Muhammad Nasim Aftab’s research interests lie in the fields of Quantum Calculus, Integral Inequalities, Algebra, and Graph Theory, with a strong focus on Symmetric Quantum Calculus and its Applications. His work explores Cohen-Macaulayness in Codimension for Line Simplicial Complexes, advancing algebraic topology and combinatorial mathematics. He is particularly interested in developing new mathematical inequalities in quantum and post-quantum settings, contributing to the theoretical foundations of applied mathematics. His recent research on symmetric Hahn calculus, Z-transforms in quantum calculus, and post-quantum integral inequalities highlights his dedication to expanding mathematical frameworks. Additionally, he is keen on exploring the interplay between advanced algebraic structures and real-world applications, particularly in optimization, numerical analysis, and cryptographic systems. With a strong background in functional analysis, topology, and differential geometry, he aims to contribute innovative solutions to complex mathematical problems while fostering interdisciplinary research collaborations.

Award and Honor

Muhammad Nasim Aftab has demonstrated exceptional dedication to the field of Mathematics, earning recognition for his contributions to Quantum Calculus, Integral Inequalities, and Algebra. As a lecturer at Punjab Group of Colleges, he has played a pivotal role in shaping young mathematical minds. His academic excellence, reflected in his MS in Mathematics with a 3.62/4.00 GPA from COMSATS University, has laid a strong foundation for his research career. His contributions to high-impact journals such as AIMS Mathematics, Mathematics, and the Journal of Inequalities and Applications highlight his research prowess, while multiple manuscripts under review further demonstrate his active engagement in advancing mathematical knowledge. Under the mentorship of Dr. Saad Ihsan Butt, he has published groundbreaking work on symmetric quantum inequalities. His proficiency in LaTeX, MATLAB, and Python adds a computational edge to his expertise. With a strong research portfolio and commitment to academia, he is a deserving candidate for prestigious awards and honors.

Conclusion

Muhammad Nasim Aftab is a dedicated researcher in mathematics with a strong academic background, evidenced by his MS in Mathematics from COMSATS University and a commendable research portfolio in Quantum Calculus, Integral Inequalities, and Graph Theory. His publications in reputable journals, along with multiple submitted manuscripts, highlight his commitment to advancing mathematical sciences. As a lecturer at Punjab Group of Colleges since 2014, he has significantly contributed to mathematics education, shaping the next generation of scholars. His proficiency in LaTeX, MATLAB, and Python enhances his computational research capabilities. While his research contributions are impressive, expanding collaborations, targeting high-impact journals, and increasing participation in international awards could further solidify his reputation. Pursuing a Ph.D. would also elevate his expertise and professional standing. Overall, his dedication to mathematical research and education makes him a strong candidate for recognition, and he holds great potential for further contributions to the field.

Publications Top Noted

Title: Some Hermite-Hadamard and Midpoint Type Inequalities in Symmetric Quantum Calculus
- Authors: S.I. Butt, M.N. Aftab, H.A. Nabwey, S. Etemad
- Year: 2024
- Citations: 5
Title: Symmetric Quantum Inequalities on Finite Rectangular Plane
- Authors: S.I. Butt, M.N. Aftab, Y. Seol
- Year: 2024
- Citations: 3
Title: Novel Notions of Symmetric Hahn Calculus and Related Inequalities
- Authors: S.I. Butt, M.N. Aftab, A. Fahad, Y. Wang, B.B. Mohsin
- Year: 2024
Title: Cohen-Macaulayness in Codimension for Line Simplicial Complexes
- Authors: M.N. Aftab
- Year: 2021

Aleksandar Senić | Mathematical Engineering | Best Researcher Award | 2039

Published on 08/02/202508/02/2025 by Math Scientist

Mr. Aleksandar Senić | Mathematical Engineering | Best Researcher Award

Assistant Lecturer at Faculty of Civil Engineering, Belgrade, Serbia

Aleksandar Senić is a researcher and expert in risk management for infrastructure projects, specializing in the application of fuzzy logic and machine learning to predict delays and cost overruns. As an Assistant Lecturer at the Faculty of Civil Engineering, University of Belgrade, he actively contributes to research on risk assessment and decision-making optimization. He has authored eight journal papers in indexed databases and a book on infrastructure project management. With over 30 industry projects, he plays a key role in translating research into practical solutions. As Director of the Construction Management Sector at Koridori Srbije, he oversees infrastructure projects worth €5 billion, ensuring efficient execution and risk mitigation. His work on hybrid risk assessment models and clustering risk factors has improved project planning and preventive strategies. Through collaborations with leading researchers, his contributions have gained international recognition, influencing best practices in construction risk management and decision-making in large-scale projects.

Professional Profile

Scopus Profile
ORCID Profile

Education

Aleksandar Senić holds a strong academic background in civil engineering and risk management. He earned his Bachelor’s and Master’s degrees from the Faculty of Civil Engineering, University of Belgrade, specializing in construction management and infrastructure project risk assessment. His postgraduate research focused on applying fuzzy logic and machine learning techniques to predict delays and cost overruns in large-scale infrastructure projects. He pursued a Ph.D. in Civil Engineering, further advancing his expertise in hybrid risk assessment models integrating artificial intelligence and expert systems for optimizing decision-making in construction. Throughout his academic journey, he actively collaborated with leading researchers, contributing to cutting-edge methodologies in risk quantification and mitigation. His educational foundation, combined with extensive industry exposure, enables him to bridge the gap between theoretical research and practical application, making significant advancements in infrastructure project management. His academic credentials and research output have positioned him as a key contributor to the field of risk management in civil engineering.

Professional Experience

Aleksandar Senić is an Assistant Lecturer at the Faculty of Civil Engineering, University of Belgrade, and a leading expert in risk management for infrastructure projects. With extensive experience in applying fuzzy logic and machine learning, he specializes in predicting delays and cost overruns in large-scale road construction. As the Director of the Construction Management Sector at Koridori Srbije, he oversees the execution of €5 billion infrastructure projects, ensuring efficient delivery and risk mitigation. His expertise extends to industry consultancy, having contributed to over 30 projects focused on risk assessment and preventive strategies. He has authored a book on infrastructure project management and published 8 journal papers in indexed databases. His research, widely cited internationally, integrates hybrid risk assessment models to optimize decision-making. A member of the Serbian Chamber of Engineers, he actively collaborates with leading researchers, advancing best practices in construction risk management and preventive methodologies.

Research Interest

Aleksandar Senić’s research interests focus on advancing risk management methodologies in infrastructure projects through the integration of machine learning, fuzzy logic, and expert-driven models. His work aims to enhance predictive analytics for cost overruns and time extensions in road construction, enabling more efficient project planning and execution. He specializes in hybrid risk assessment models, combining statistical techniques with artificial intelligence to improve decision-making in large-scale infrastructure development. Additionally, his research explores preventive measures in project management, optimizing risk quantification frameworks to minimize uncertainties and enhance project resilience. His contributions also extend to construction project complexity analysis, where he clusters risk factors to prioritize interventions, reducing budget deviations and schedule delays. Through collaborations with leading researchers and industry professionals, he strives to develop innovative strategies for risk mitigation, ensuring sustainable and cost-effective infrastructure development while bridging the gap between academic research and practical engineering applications.

Award and Honor

Aleksandar Senić is a distinguished researcher and industry expert in risk management for infrastructure projects, recognized for his significant contributions to the field of construction engineering. As an Assistant Lecturer at the Faculty of Civil Engineering, University of Belgrade, and Director of the Construction Management Sector at Koridori Srbije, he has played a pivotal role in advancing methodologies for risk assessment, predictive modeling, and decision-making optimization. His research integrates machine learning, fuzzy logic, and expert surveys to enhance risk evaluation, leading to improved efficiency in large-scale infrastructure projects. With numerous publications in high-impact journals, his work has gained international recognition, influencing best practices in risk mitigation. His leadership in managing projects worth €5 billion underscores his practical expertise. Through active collaboration with leading researchers and contributions to industry projects, he continues to shape the future of infrastructure risk management, making him a deserving candidate for prestigious academic and professional honors.

Conclusion

Aleksandar Senić is a distinguished researcher in risk management for infrastructure projects, combining academic expertise with extensive industry experience. His contributions to integrating machine learning and fuzzy logic into risk assessment models have significantly advanced methodologies for predicting delays and cost overruns in large-scale construction projects. As a lecturer at the University of Belgrade and Director at Koridori Srbije, he bridges the gap between research and real-world applications, overseeing infrastructure projects worth €5 billion. With eight journal publications, a book, and collaborations with esteemed researchers, his work has gained international recognition. While his citation index and h-index indicate a growing impact, further engagement in high-impact research, patents, and editorial roles could enhance his profile. His expertise, leadership, and commitment to innovation in construction risk management make him a strong candidate for the Best Researcher Award, reflecting both his scholarly excellence and his contributions to improving infrastructure project outcomes.

Publications Top Noted

Prioritization of Preventive Measures: A Multi-Criteria Approach to Risk Mitigation in Road Infrastructure Projects
- Authors: Aleksandar Senić, Marija Ivanović, Momčilo Dobrodolac, Zoran Stojadinović
- Year: 2025
A Comprehensive Analysis of Road Crashes at Characteristic Infrastructural Locations: Integrating Data, Expert Assessments, and Artificial Intelligence
- Authors: T. Ivanišević, M. Vujanić, A. Senić, A. Trifunović, S. Čičević
- Year: 2024
Predicting Extension of Time and Increasing Contract Price in Road Infrastructure Projects Using a Sugeno Fuzzy Logic Model
- Authors: Aleksandar Senić, Momčilo Dobrodolac, Zoran Stojadinović
- Year: 2024
Development of Risk Quantification Models in Road Infrastructure Projects
- Authors: Aleksandar Senić, Momčilo Dobrodolac, Zoran Stojadinović
- Year: 2024
Evaluating the Road Environment Through the Lens of Professional Drivers: A Traffic Safety Perspective
- Authors: Aleksandar Senić
- Year: 2024
Early Highway Construction Cost Estimation: Selection of Key Cost Drivers
- Authors: N. Simić, N. Ivanišević, Ð. Nedeljković, A. Senić, Z. Stojadinović, M. Ivanović
- Year: 2023
Assessment of Concrete Compressive Strength Using Different Maturity Functions: Case Study
- Authors: Dragan Bojović, Nevena Bašić, Ksenija Janković, Aleksandar Senić
- Year: 2018
Determination of the In Situ Coefficient of Friction and Imperfection of Prestressing Cables
- Authors: Dragan Bojović, Bojan Aranđelović, Ksenija Janković, Aleksandar Senić, Marko Stojanović
- Year: 2017
Značaj Arhitektonskog Koncepta za Rentabilnost Projekata
- Authors: Aleksandar Senić
- Year: 2014