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

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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.

Akoramurthy Balasubramaniam | Quantum Science | Best Researcher Award

Published on by Computer Scientists Awards

Mr. Akoramurthy Balasubramaniam | Quantum Science | Best Researcher Award

Research Scholar, National Institute of Technology Puducherry, India

Dr. Akoramurthy Balasubramaniam is a distinguished researcher and professor specializing in Computer Science & Engineering. With a focus on Quantum Blockchain for Healthcare, he is dedicated to advancing technology and contributing to societal growth. Currently serving as an Assistant Professor at REVA University, Bangalore, he has a strong background in various educational and professional roles across multiple institutions.

Publication Profile

 

Strengths for the Award

  1. Diverse Educational Background:Akoramurthy B has a robust educational foundation, including a Ph.D. in “Quantum Blockchain for Healthcare,” multiple master’s degrees in Computer Science and Banking Technology, and a PG Diploma in Statistics & Research Methods. This diverse academic background supports a deep understanding of both technical and practical aspects of his research areas.
  2. Relevant and Cutting-Edge Research:His research work in quantum blockchain for healthcare, digital linked information systems, and advancements in blockchain and AI technologies is highly relevant and current. His publications and book chapters cover emerging and impactful technologies, demonstrating a forward-thinking approach.
  3. Publication Record:Akoramurthy has a strong publication record with several book chapters, journal articles, and conference papers. His work is featured in reputable journals and conference proceedings, including IEEE and Scopus-indexed venues, highlighting his contributions to the field.
  4. Professional Experience:His experience spans various roles, including Assistant Professor and Junior Research Fellow at multiple institutions, which demonstrates his commitment to teaching and research. His involvement in diverse academic environments suggests a broad perspective and practical experience.
  5. Recognition and Awards:Akoramurthy has received several awards for his research, such as the Best Research Paper Award and Best Paper Award at various conferences. This recognition is a testament to the quality and impact of his research.

Areas for Improvement

  1. Greater Research Impact:While his research is highly relevant, increasing the citation count and visibility of his work in high-impact journals could further enhance his standing as a researcher. Greater engagement with the broader research community through collaborations could amplify his research impact.
  2. Broader Research Network:Expanding his research network by collaborating with international researchers and participating in more interdisciplinary projects could lead to more significant research outcomes and opportunities for high-profile publications.
  3. Increased Funding and Grants:Securing more research grants and funding could support more extensive and impactful research projects. Pursuing grants from major funding agencies or industry partnerships could enhance the scope and scale of his work.

 

Education

Dr. Balasubramaniam earned his Ph.D. in “Quantum Blockchain for Healthcare” from the National Institute of Technology, Puducherry, through the Visvesvaraya Fellowship (2023-25). He holds a PG Diploma in “Statistics & Research Methods” from Pondicherry University (2015-16), a Master of Engineering in “Computer Science & Engineering” from Anna University (2013-15), and an MBA in “Banking Technology” from Pondicherry University (2011-13). His academic journey began with a Bachelor of Technology in “Information Technology” from MEC, Anna University (2003-07), complemented by his HSC and School Leaving Certificate.

Experience

Dr. Balasubramaniam has held several academic positions, including Assistant Professor at REVA University (2022-present) and Sri Venkateshwara College of Engineering & Technology (2020-2022). He has also worked as a Junior Research Fellow at Vellammal Institute of Technology (2019-2020) and as an Assistant Professor at IFET College of Engineering (2016-2019). His career started as a Lecturer at Rajiv Gandhi College of Engineering & Technology (2007-2011).

Research Focus

Dr. Balasubramaniam’s research is centered around Quantum Blockchain technologies, artificial intelligence, and their applications in healthcare and information systems. His work explores innovative solutions for digital management and efficient data handling using advanced computational techniques.

Awards and Honours

Dr. Balasubramaniam has been recognized for his contributions to the field with various accolades. His research and scholarly activities reflect his commitment to pushing the boundaries of knowledge and technology.

Publications Top Notes

Artificial Intelligence and Blockchain Technology for Efficient Electronic Medical Record Management in Healthcare Technologies, 2023 DOI: 10.1049/PBHE061E_ch4

Digital Linked Information System Using Blockchain Technology in Blockchain Technology: Fundamentals, Applications and Case Studies, CRC Press (2020) DOI: 10.1201/9781003004998

A Blockchain Approach for Improving Digital Linked Management Information System (DLMIS 2.0) in The Data-Driven Blockchain Ecosystem: Fundamentals, Applications and Emerging Technologies (CRC Press) ISBN: 978-1-032-21624-9

Nature-Inspired Algorithms for Computational Intelligence Theory-A State of Art Review (Accepted for Computational Intelligent Theory for Real-Time Use Cases, Bentham Science)

Conclusion

Akoramurthy B exhibits strong qualifications for the Research for Best Researcher Award. His educational background, relevant research contributions, substantial publication record, and professional experience make him a strong candidate. Addressing areas such as increasing the impact of his research, broadening his network, and securing additional funding could further strengthen his profile. Overall, his achievements and ongoing contributions to the field of Computer Science & Engineering position him as a noteworthy candidate for the award.