Samir Brahim Belhaouari | Applied Mathematics | Best Researcher Award

Published on 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 

Google Scholar
Scopus Profile
ORCID Profile

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 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 

Google Scholar

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

 

 

Pedro Américo Júnior | Numerical Analysis | Numerical Analysis Research Award

Published on by Math Scientist

Prof. Dr. Pedro Américo Júnior | Numerical Analysis | Numerical Analysis Research Award

Professor at PucMinas, Brazil

Pedro Américo Almeida Magalhães Júnior is a distinguished researcher with expertise spanning Electrical Engineering, Computer Science, Civil Engineering, and Mechanical Engineering. He holds multiple degrees, including a Ph.D. in Mechanical Engineering, a master’s in Electrical Engineering, and bachelor’s degrees in Electrical Engineering and Computer Science. His research focuses on numerical analysis, structural analysis, artificial intelligence, software engineering, optical metrology, and mechanical fatigue. As the creator of VCN-Visual Cálculo Numérico, he has contributed to computational advancements in numerical calculations. With extensive experience in academia and industry, he has taught subjects such as artificial intelligence, digital circuits, and computational applications. His work integrates mathematical modeling, engineering principles, and cutting-edge technologies. While his interdisciplinary expertise is impressive, further details on his publication record, research impact, and funding achievements would strengthen his profile for prestigious research awards. His contributions demonstrate innovation, technical depth, and a commitment to advancing engineering and applied mathematics.

Professional Profile 

Google Scholar
ORCID Profile

Education

Pedro Américo Almeida Magalhães Júnior has a diverse and extensive educational background spanning multiple engineering and computational disciplines. He earned a bachelor’s degree in Electrical Engineering from the Federal University of Minas Gerais (1989) and a bachelor’s degree in Computer Science from the Pontifical Catholic University of Minas Gerais (1989). Further expanding his expertise, he completed a specialization in Civil Engineering at Fundação Educacional Minas Gerais (1993). His academic journey continued with a master’s degree in Electrical Engineering from Pontifical Catholic University of Minas Gerais (2001), where he focused on finite element methods in undergraduate education. He later pursued a Ph.D. in Mechanical Engineering at the same institution (2009), with research centered on the Moiré shadow technique with phase shift using the generalization of the Carré algorithm. This multidisciplinary education has provided him with a strong foundation in numerical analysis, structural engineering, artificial intelligence, and computational methodologies, shaping his contributions to research and academia.

Professional Experience

Pedro Américo Almeida Magalhães Júnior has a diverse and extensive professional background spanning academia, research, and industry. He has worked as a professor at institutions such as Centro Universitário Unihorizontes and Pontifícia Universidade Católica do Paraná, teaching subjects in artificial intelligence, robotics, computer architecture, electrical materials, and numerical analysis. His expertise extends to engineering, where he has contributed to structural analysis, finite element methods, metrology, and computational modeling. He developed the VCN-Visual Cálculo Numérico software, demonstrating his proficiency in numerical computing. Pedro has also held positions in systems development, technology management, and data processing, working with companies like Gama Construtora Ltda and Sid Microelectronics. With a strong multidisciplinary foundation in electrical, mechanical, and civil engineering, as well as computer science, his career reflects a commitment to advancing knowledge in mathematical modeling, experimental mechanics, and industrial applications, reinforcing his contributions to both academia and practical engineering solutions.

Research Interest

Pedro Américo Almeida Magalhães Júnior’s research interests span multiple disciplines, reflecting his strong background in engineering, mathematics, and computational sciences. His work primarily focuses on numerical analysis, structural analysis, differential equations, statistical methods, and finite element modeling, with applications in mechanical and civil engineering. He is particularly interested in developing and refining computational techniques for solving complex mathematical and engineering problems, including optical metrology, mechanical fatigue, and resistance of materials. As the creator of VCN-Visual Cálculo Numérico, he has contributed to advancing numerical computing methodologies. His research also extends to artificial intelligence, software engineering, and industrial process optimization, demonstrating a multidisciplinary approach to solving real-world challenges. Additionally, his expertise in project management and metrology supports applied research in engineering innovation. Through his academic contributions, he aims to bridge the gap between theoretical advancements and practical applications, fostering technological progress in various engineering domains.

Award and Honor

Pedro Américo Almeida Magalhães Júnior has been recognized for his significant contributions to engineering, applied mathematics, and computational sciences. As a CNPq Level 2 Research Productivity Fellow, he has demonstrated excellence in research, innovation, and academia. His multidisciplinary expertise in numerical analysis, structural engineering, artificial intelligence, and computational modeling has earned him respect in the scientific community. The development of VCN-Visual Cálculo Numérico stands as a testament to his contributions to computational tools in engineering and mathematics. His dedication to advancing knowledge is reflected in his roles as a professor and researcher, shaping future generations of engineers and scientists. While specific awards and honors are not detailed in the available information, his extensive academic background, research output, and influence in multiple disciplines highlight his impact. His work continues to shape industry practices and academic methodologies, making him a distinguished figure in applied mathematics and engineering research.

Conclusion

Pedro Américo Almeida Magalhães Júnior is a distinguished researcher with a multidisciplinary background spanning electrical engineering, computer science, mechanical engineering, and civil engineering. His expertise in numerical analysis, structural analysis, artificial intelligence, and software engineering demonstrates a strong foundation in both theoretical and applied research. As the creator of VCN-Visual Cálculo Numérico, he has contributed to computational advancements in numerical calculations. His teaching experience in artificial intelligence, digital circuits, and engineering systems further reflects his commitment to knowledge dissemination. While his diverse expertise strengthens his candidacy for the Best Researcher Award, a more detailed record of high-impact publications, research citations, and funded projects would further reinforce his research influence. Highlighting specific contributions, innovations, and real-world applications of his work would enhance his recognition within the academic community. Overall, Pedro’s broad research scope and technical contributions make him a strong candidate, with opportunities to further solidify his academic impact.

Publications Top Noted

  • Behavior study of prestressed concrete wind-turbine tower in circular cross-section
    JA de Lana, PAAM Júnior, CA Magalhães, ALMA Magalhães, …
    Year: 2021 | Citations: 54
  • Mandibular canine intrusion with the segmented arch technique: A finite element method study
    GM Caballero, OA de Carvalho Filho, BO Hargreaves, HH de Araújo Brito, …
    Year: 2015 | Citations: 43
  • Stress‐Strain Compression of AA6082‐T6 Aluminum Alloy at Room Temperature
    AS Scari, BC Pockszevnicki, J Landre Junior, PAA Magalhães Junior
    Year: 2014 | Citations: 33
  • Study of Diamond-Like Carbon coating application on carbide substrate for cutting tools used in the drilling process of an Al–Si alloy at high cutting speeds
    PS Martins, PAAM Júnior, JRG Carneiro, ECT Ba, VF Vieira
    Year: 2022 | Citations: 32
  • Numerical analysis of the air flow in internal combustion engine intake ducts using Herschel-Quincke tubes
    RS Mazzaro, S de Morais Hanriot, RJ Amorim, PAAM Júnior
    Year: 2020 | Citations: 19
  • Numerical method to digital photoelasticity using plane polariscope
    PAAM Júnior, FG Vieira, CA Magalhães, JS Ribeiro, IG Rios
    Year: 2016 | Citations: 13
  • Analysis of stresses in a tapered roller bearing using three-dimensional photoelasticity and stereolithography
    FG Vieira, AS Scari, PAA Magalhães Júnior, JSR Martins, CA Magalhães
    Year: 2019 | Citations: 12
  • New numerical methods for the photoelastic technique with high accuracy
    C Almeida Magalhaes, P Americo Almeida Magalhaes
    Year: 2012 | Citations: 12
  • Mathematical Model and Programming in VBA Excel for Package Calculation
    JDR Lessa, PFR Lessa, PA Almeida, M Junior, HV Guimarães
    Year: 2016 | Citations: 7
  • Design of lattice wind turbine towers with structural optimization
    P Junior, IG Rios, TS Ferreira, ACDA Júnior, OA De Carvalho Filho, …
    Year: 2014 | Citations: 7
  • Higher-Order Newton-Cotes Formulas
    PAA Magalhaes, CA Magalhaes
    Year: 2010 | Citations: 7
  • New formulas of numerical quadrature using spline interpolation
    PAA Magalhaes, PAAM Junior, CA Magalhaes, ALMA Magalhaes
    Year: 2021 | Citations: 6
  • Structural analysis and structural optimization of self-supporting truss towers to support a large wind turbine
    JPAA MAGALHAES, IG Rios, TS Ferreira, JAC DE ANDRADE, …
    Year: 2014 | Citations: 6
  • Higher-order Newton-Cotes formulas
    PAAM Junior, CA Magalhaes
    Year: 2010 | Citations: 5
  • Generalization of Carre algorithm
    PAAM JUNIOR, PS NETO, CS de Barcellos
    Year: 2009 | Citations: 5
  • Evaluation of the stiffness effect of pipe supports in relation to static and dynamic loads in a flexibility analysis
    PAAM Junior, TM Portela
    Year: 2018 | Citations: 4
  • Separation of isochromatics and isoclinics phasemaps for the photoelastic technique with use phase shifting and a large number of high precision images
    CA Magalhães, PS Neto, A Magalhaes Jr PA, CS de Barcellos
    Year: 2013 | Citations: 4
  • New numerical method for the photoelastic technique
    PAA M Júnior, CA Magalhães, P Smith Neto
    Year: 2012 | Citations: 4
  • Generalization of Carré equation
    PAAM Junior, PS Neto, CS De Barcellos
    Year: 2011 | Citations: 4
  • New Carré equation
    P Magalhaes, P Neto, C Magalhães
    Year: 2010 | Citations: 4

 

 

Aviv Gibali | Applied Mathematics | Best Researcher Award

Published on by Math Scientist

Prof. Aviv Gibali | Applied Mathematics | Best Researcher Award

Researcher at Holon Institute of Technology, Israel

Dr. Aviv Gibali is a distinguished mathematician and researcher specializing in applied mathematics, optimization, and variational inequalities. He holds a Ph.D. from the Technion – Israel Institute of Technology and has completed postdoctoral studies at the Fraunhofer Institute for Industrial Mathematics in Germany. Currently serving as the Head of the Department of Applied Mathematics at HIT – Holon Institute of Technology, he has previously held leadership roles at ORT Braude College of Engineering. Dr. Gibali has made significant contributions through numerous scholarly publications, award presentations, and editorial positions in prestigious journals. His expertise spans optimization algorithms, superiorization techniques, and mathematical modeling with applications in science and engineering. Actively engaged in international collaborations and academic committees, he has also received multiple awards for his impactful research. His dedication to advancing mathematical methodologies and their real-world applications establishes him as a leading figure in the field.

Professional Profile 

Scopus Profile
ORCID Profile

Education

Dr. Aviv Gibali holds a strong academic background in mathematics, with degrees from prestigious institutions. He earned his Ph.D. in Mathematics from the Technion – Israel Institute of Technology in 2012, where his doctoral research focused on algorithms for solving variational inequalities and their applications under the supervision of Prof. Simeon Reich and Prof. Yair Censor. Prior to that, he completed his M.Sc. in Mathematics at the University of Haifa in 2008, working on iterative algorithms for solving variational inequality problems under the guidance of Prof. Yair Censor. His academic journey began with a B.Sc. in Mathematics from the University of Haifa in 2005. Following his Ph.D., Dr. Gibali pursued postdoctoral research in optimization at the Fraunhofer Institute for Industrial Mathematics (ITWM) in Kaiserslautern, Germany, from 2012 to 2014. His educational foundation has equipped him with deep expertise in mathematical modeling, optimization, and computational algorithms.

Professional Experience

Dr. Aviv Gibali is an accomplished mathematician and researcher specializing in optimization, variational inequalities, and applied mathematics. He currently serves as the Head of the Department of Applied Mathematics at HIT – Holon Institute of Technology and holds the rank of Associate Professor. Previously, he was an Associate Professor and Head of the Mathematics Department at ORT Braude College of Engineering. Dr. Gibali completed his Ph.D. at The Technion – Israel Institute of Technology and pursued postdoctoral research at the Fraunhofer Institute for Industrial Mathematics in Germany. His extensive academic contributions include serving as an associate editor for multiple prestigious journals, organizing international awards, and collaborating with leading institutions worldwide. With numerous invited talks, scientific visits, and interdisciplinary research projects, he has significantly advanced the field of mathematical optimization. His expertise spans theoretical advancements and industrial applications, earning him multiple awards and recognition in applied and computational mathematics.

Research Interest

Dr. Aviv Gibali’s research interests lie at the intersection of applied mathematics, optimization, and computational methods, with a strong focus on projection algorithms, variational inequalities, and convex feasibility problems. His work spans both theoretical advancements and real-world applications, particularly in industrial mathematics, medical imaging, radiation therapy planning, and data science. He has made significant contributions to superiorization techniques, an innovative approach to improving iterative algorithms for constrained optimization problems. Dr. Gibali is also actively engaged in developing and analyzing numerical algorithms for large-scale optimization, leveraging mathematical modeling to solve complex problems in engineering, machine learning, and healthcare. His interdisciplinary collaborations with international research institutions and industry partners enhance the practical impact of his studies. With a keen interest in mathematical education, he also contributes to innovative pedagogical methods, fostering a new generation of researchers in applied and computational mathematics.

Award and Honor

Dr. Aviv Gibali, a distinguished mathematician and researcher, has been widely recognized for his outstanding contributions to applied mathematics and optimization. He has received numerous accolades, including the prestigious Fourth Most Cited Article Award from Optimization Methods and Software in 2021, highlighting the impact of his research. In 2020, he secured First Prize in the Hackathon on Free Writing Home Exams, organized by Tel-Aviv University and Shenkar, demonstrating his innovative approach to education. His scholarly excellence has also been acknowledged through esteemed fellowships such as the Mathematics for Industry Network’s Short-Term Scientific Mission (2018) in Germany and the Austria-Israel Academic Network Innsbruck (AIANI) Fellowship (2017). With an extensive academic career, editorial roles in leading journals, and significant contributions to industrial mathematics, Dr. Gibali’s work continues to shape the field, earning him widespread recognition and respect within the global mathematical community.

Conclusion

Dr. Aviv Gibali is a distinguished researcher in applied mathematics, with a prolific academic career spanning optimization, variational inequalities, and superiorization techniques. His extensive contributions include over a decade of impactful research, international collaborations, editorial roles in leading mathematical journals, and leadership positions in academia. As an associate professor and head of the Department of Applied Mathematics at HIT – Holon Institute of Technology, Dr. Gibali has played a pivotal role in advancing mathematical research and fostering industry-academic partnerships. His numerous scientific visits, award organizations, and editorial engagements reflect his dedication to global knowledge dissemination. Recognized with prestigious awards and citations, he has demonstrated excellence in both theoretical advancements and real-world applications. While his achievements are remarkable, continued exploration of interdisciplinary applications and mentorship initiatives could further enhance his academic influence. Dr. Gibali’s scholarly impact and leadership make him a highly deserving candidate for the Best Researcher Award.

Publications Top Noted

  • Multidimensional Evolution Effects on Non-Cooperative Strategic Games
    Authors: Shipra Singh, Aviv Gibali, Simeon Reich
    Year: 2024
    Source: Mathematics
  • Resolvent-Free Method for Solving Monotone Inclusions
    Authors: Yan Tang, Aviv Gibali
    Year: 2023
    Source: Axioms
  • Special Issue “Symmetry in Optimization and Control with Real-World Applications”
    Authors: Kok Lay Teo, Aviv Gibali, Yong Wu
    Year: 2022
    Source: Symmetry
  • New Self-Adaptive Inertial-Like Proximal Point Methods for the Split Common Null Point Problem
    Authors: Yan Tang, Yeyu Zhang, Aviv Gibali
    Year: 2021
    Source: Symmetry
  • Multi-Time Generalized Nash Equilibria with Dynamic Flow Applications
    Authors: Shipra Singh, Aviv Gibali, Simeon Reich
    Year: 2021
    Source: Mathematics
  • An Analytic and Numerical Investigation of a Differential Game
    Authors: Aviv Gibali, Oleg Kelis
    Year: 2021
    Source: Axioms
  • Projected-Reflected Subgradient-Extragradient Method and Its Real-World Applications
    Authors: Aviv Gibali, O.S. Iyiola, Lanre Akinyemi, Yekini
    Year: 2021
    Source: Symmetry
  • A Symmetric FBF Method for Solving Monotone Inclusions
    Authors: Aviv Gibali, Yekini
    Year: 2020
    Source: Symmetry
  • Inertial Krasnoselskii–Mann Method in Banach Spaces
    Authors: Yekini Shehu, Aviv Gibali
    Year: 2020
    Source: Mathematics