Prof. Dr. Gabriel Gustavo Carlo | Quantum Science | Best Researcher Award

Prof. Dr. Gabriel Gustavo Carlo | Quantum Science | Best Researcher Award

Prof. Dr. Gabriel Gustavo Carlo | Researcher | National Scientific and Technical Research Council | Argentina

Academic Background

Gabriel Gustavo Carlo holds a Doctorate in Physics and a Licentiate in Physics from the University of Buenos Aires. His academic journey reflects a deep commitment to both theoretical and applied aspects of quantum mechanics and complex systems. According to Scopus, he has contributed to over 50 documents, which have been cited by more than 500 works, reflecting his significant presence in the scientific community. His h-index on Scopus stands at eighteen, demonstrating consistent scholarly impact, while his Google Scholar profile reports over 700 citations, a cumulative h-index of 20, and an i10-index of 35, underscoring his influence and visibility in the field.

Research Focus

Carlo’s research centers on quantum chaos, dissipative systems, and the interplay between classical and quantum dynamics. He explores quantum computation, quantum reservoir computing, and the role of noise in enhancing quantum algorithms. His work aims to bridge foundational theory with practical computational applications, emphasizing the optimization of quantum circuits and the understanding of complex behaviors in open quantum systems.

Work Experience

He currently serves as an independent researcher at the National Scientific and Technical Research Council (CONICET), associated with the TANDAR Laboratory in Buenos Aires. Carlo has held teaching positions at multiple institutions, including the University of Buenos Aires, National University of Quilmes, Favaloro University, and the National University of General San Martín, where he continues to guide and mentor graduate and undergraduate students. His career reflects a combination of research leadership, project management, and pedagogy.

Key Contributions

Carlo has directed numerous doctoral and undergraduate theses, fostering the development of new talent in the fields of quantum physics and complex systems. His studies have introduced methods for analyzing quantum dissipative systems, optimal parameterized quantum circuits, and the use of machine learning to explore quantum localization. He has significantly contributed to understanding the correspondence between classical and quantum dynamics and the role of environmental effects in quantum systems.

Awards & Recognition

He has been recognized as an outstanding referee for the Physical Review journals, reflecting his expertise and reputation in evaluating cutting-edge research in physics.

Professional Roles & Memberships

Carlo actively participates in the international scientific community as a referee for leading journals including Physical Review, Physical Review Letters, Scientific Reports, and Chaos. He serves on editorial and reviewer boards for journals such as Entropy and contributes to Mathematical Reviews. Additionally, he has organized international workshops and seminars on quantum chaos, fostering collaboration across institutions in Europe and Latin America.

Profile

Scopus | ORCID | Google Scholar

Featured Publications

Bergamasco, P. D., Carlo, G. G., & Rivas, A. M. F. Spectral truncation of out-of-time-ordered correlators in dissipative systems. Physical Review E, 112, 034201.

Rivas, A. M. F., Vergini, E. G., Ermann, L., & Carlo, G. G. Ideal gas law for a quantum particle. Physical Review E, 112, 014223.

Montes, J., Borondo, F., & Carlo, G. G. Optimal multicore quantum computing with few interconnects. APL Quantum, 2, 026104.

Domingo, L., Grande, M., Carlo, G., Borondo, F., & Borondo, J. Optimal quantum reservoir computing for market forecasting. arXiv:2401.03347.

Correr, G. I., Azado, P. C., Soares-Pinto, D. O., & Carlo, G. Optimal complexity of parameterized quantum circuits. arXiv:2405.19537.

Impact Statement / Vision

Carlo envisions advancing the field of quantum technologies by integrating foundational physics with practical computational strategies. His work aims to optimize quantum computation under realistic conditions and provide frameworks for understanding complex quantum systems, bridging theory and application to address future challenges in science and technology.

Rabha Ibrahim | Quantum Science | Best Researcher Award

Prof. Dr. Rabha Ibrahim | Quantum Science | Best Researcher Award

Alayen University, United States

Rabha Waell Ibrahim (Rabha W. Ibrahim) is a distinguished researcher and academic in the fields of complex, computing, and cloud systems, with a focus on mathematical modeling, image processing, geometric function theory, fractional calculus, and quantum computing. She holds a Ph.D. in Complex Systems from Universiti Kebangsaan Malaysia (UKM) and has completed postdoctoral research at the Cloud Computing Center, University Malaya. With a career spanning multiple international institutions, Rabha has been recognized among the world’s top 2% scientists by Stanford University and Elsevier across multiple years. She currently serves as a Professor at Istanbul Okan University, Turkey, contributing to the advancement of mathematical and computing sciences. Her research is recognized globally, and she actively contributes to various prestigious journals. 📚🌐

Publication Profile

Education

Rabha Waell Ibrahim completed her Ph.D. in Complex Systems at the Centre of Modelling and Data Sciences, University Kebangsaan Malaysia (UKM), in 2011. She furthered her expertise with postdoctoral research at the Cloud Computing Center, University Malaya, in 2016. Additionally, she holds a Google Data Analytics Certificate from Coursera, earned in May 2022. 🎓📖

Experience

Rabha has held several academic and research positions in renowned universities and institutions across the world. She began her career as a Senior Lecturer at University Malaya, Malaysia, from 2011 to 2015, followed by a role as Senior Researcher at the same university until 2016. She was an Associate Professor at Modern College of Business and Science in Oman from 2017 to 2019, and later worked as a Senior Researcher at Ton Duc Thang University, Vietnam, from 2019 to 2021. Rabha has also contributed as a researcher at Lebanese American University, Lebanon, and Near East University, Cyprus, and is currently a Professor at Istanbul Okan University, Turkey. 🏫🌍

Awards and Honors

Rabha’s significant contributions to science have earned her recognition in the form of listings among the world’s top 2% scientists by Stanford University and Elsevier over several years (2019–2024). Additionally, she has a remarkable H-index, with values of 28 in Web of Science, 31 in Scopus, and 33 in ResearchGate. These achievements reflect her ongoing influence in her fields of expertise. 🏅🌟

Research Focus

Rabha’s research spans a broad array of topics, including complex systems, computing, cloud systems, and mathematical modeling. She has made substantial contributions to image processing, geometric function theory, fractional calculus, and quantum computing. Her work also delves into the intersection of fractals and fractional calculus, with applications in various scientific domains. Her research continues to impact theoretical and applied mathematics, influencing both academia and industry. 🔬💻

Conclusion

Rabha W. Ibrahim is a globally recognized expert in mathematical sciences, whose work spans numerous cutting-edge topics, including cloud computing, fractional calculus, and quantum computing. Her consistent presence in the global scientific community, coupled with her prestigious academic appointments and research achievements, makes her a leading figure in her field. 🌍💡

Publications

Quantum–Fractal–Fractional Operator in a Complex Domain

Published: 2025

Journal: Axioms

DOI: 10.3390/axioms14010057

Cited by: Crossref

The Essential Gronwall Inequality Demands the (ρ,φ)(\rho, \varphi)-Fractional Operator with Applications in Economic Studies

Published: 2024

Journal: Universal Journal of Mathematics and Applications

DOI: 10.32323/ujma.1425363

Cited by: Crossref

A New Self-Organization of Complex Networks Structure Generalized by a New Class of Fractional Differential Equations Generated by 3D-Gamma Function

Published: 2024

Journal: Journal of King Saud University – Science

DOI: 10.1016/j.jksus.2024.103512

Cited by: Crossref

Classification of Tomato Leaf Images for Detection of Plant Disease Using Conformable Polynomials Image Features

Published: 2024

Journal: MethodsX

DOI: 10.1016/j.mex.2024.102844

Cited by: Crossref

Studies in Fractal–Fractional Operators with Examples

Published: 2024

Journal: Examples and Counterexamples

DOI: 10.1016/j.exco.2024.100148

Cited by: Crossref

K-Symbol Fractional Order Discrete-Time Models of Lozi System

Published: 2024

Journal: Book Chapter

DOI: 10.1201/9781003568643-11

Cited by: Crossref

Properties and Applications of Complex Fractal–Fractional Operators in the Open Unit Disk

Published: 2024

Journal: Fractal and Fractional

DOI: 10.3390/fractalfract8100584

Cited by: Crossref

Analysis of a Normalized Structure of a Complex Fractal–Fractional Integral Transform Using Special Functions

Published: 2024

Journal: Axioms

DOI: 10.3390/axioms13080522

Cited by: Crossref

Generalized Fractional Integral Operator in a Complex Domain

Published: 2024

Journal: Studia Universitatis Babes-Bolyai Matematica

DOI: 10.24193/subbmath.2024.2.03

Cited by: Crossref

Mathematical Modeling and Performance Evaluation of Ducted Horizontal-Axis Helical Wind Turbines: Insights into Aerodynamics and Efficiency

Published: 2024

Journal: PLOS ONE

DOI: 10.1371/journal.pone.0303526

Cited by: Crossref