Samir Brahim Belhaouari | Applied Mathematics | Best Researcher Award

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

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