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.

Dr. Lambros Boukas | Physics | Best Researcher Award

LAB Scientific Computing Inc.United States

Dr. Lambros A. Boukas is a distinguished computer scientist and mathematician based in Miami, Florida 🌴. With a Ph.D. in Informatics from the National and Kapodistrian University of Athens, he has extensive experience in academia and the private sector. Dr. Boukas has made significant contributions in parallel computing, numerical analysis, and scientific computing. Currently, he is the Director of LAB Scientific Computing Inc. and a dedicated mathematics and computer science teacher at Archimedean Academy 🏫.

Profile

ORCID

Education

🎓 Dr. Boukas earned his Ph.D. in Informatics from the National and Kapodistrian University of Athens in 1998. His thesis focused on parallel iterative methods for solving partial differential equations in distributed memory MIMD platforms. He also holds a Bachelor’s degree in Mathematics from the same institution, completed in 1985.

Experience

🔬 Dr. Boukas boasts a rich professional history, including his current role as Director of LAB Scientific Computing Inc. since 2020 and his long-term commitment as a teacher and coach for the Science Olympiad at Archimedean Academy since 2013. His past roles include board member at Digital Aid S.A., systems engineering coordinator at KAPATEL and Vodafone Hellas, and lecturer at the University of the Aegean and the National and Kapodistrian University of Athens.

Research Interests

🔍 Dr. Boukas’s research interests span parallel and distributed computing, scientific computing, numerical analysis, and computational methods for atmospheric and oceanic models. His work includes significant contributions to the parallelization of various computational models used in high-performance computing.

Awards

🏆 Dr. Boukas has been recognized for his contributions to scientific and academic communities. His achievements include the development of pivotal computational codes used in weather prediction and oceanic simulations, showcasing his expertise in both theoretical and applied aspects of computer science.

Publications

Boukas, L., Tsokaros, A., & Uryu, K. (2024). “The parallel compact object calculator: An efficient general relativistic initial data solver for compact objects.” Universe, 10(5), 229. doi: 10.3390/universe10050229. Cited by 15 articles.

Boukas, L., Pinheiro, D., Pinto, A. A., Xanthopoulos, S. Z., & Yannacopoulos, A. N. (2011). “Behavioural and dynamical scenarios for contingent claims valuation in incomplete markets.” Journal of Difference Equations and Applications, 17(7), 1065–1084. doi: 10.1080/10236190902841992. Cited by 25 articles.

Boukas, L., Kambourakis, G., & Gritzalis, S. (2009). “Pandora: An SMS oriented m-informational system for educational realms.” Journal of Network and Computer Applications, 32(3), 684–702. doi: 10.1016/j.jnca.2008.07.002. Cited by 30 articles.

Boukas, L. A., & Missirlis, N. M. (1998). “The parallel local modified SOR for nonsymmetric linear systems.” International Journal of Computer Mathematics, 68(1-2), 153–174. doi: 10.1080/00207169808804684. Cited by 10 articles.

Boukas, L. A., & Missirlis, N. M. (1998). “A parallel implementation of the eta model.” International Journal of Parallel and Distributed Systems and Networks, 1(2), 57–64. Cited by 8 articles.