Diego Caratell | Applied Mathematics | Best Researcher Award

Dr. Diego Caratell | Applied Mathematics | Best Researcher Award

Associate Professor, Eindhoven University of Technology, Netherlands

Dr. Diego Caratelli is a distinguished researcher and engineer specializing in electromagnetics and antenna design, currently serving as the CTO and VP of Engineering at The Antenna Company in the Netherlands. With a strong academic foundation and substantial contributions to applied mathematics and antenna technology, Dr. Caratelli is also an Associate Professor at Eindhoven University of Technology. His extensive research has been recognized internationally, notably in ultra-wideband (UWB) antenna modeling and computational electromagnetics.

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Education 🎓

Dr. Caratelli’s education is comprehensive, including advanced studies in various fields from prestigious institutions. He earned MicroMaster degrees in Statistics, Data Science, Finance, and Supply Chain Management from the Massachusetts Institute of Technology (MIT). His academic journey began in Italy, where he completed his Ph.D. in Electronic Engineering and a Master’s degree in Applied Mathematics, both summa cum laude, at Sapienza University of Rome. His foundational studies included a Laurea degree in Electronic Engineering from Sapienza University and a Scientific Lyceum degree from Liceo Scientifico “E. Majorana.”

Experience 💼

Dr. Caratelli’s professional experience spans academia and industry. As the CTO and VP Engineering at The Antenna Company, he leads groundbreaking developments in antenna technology for wireless communications. Concurrently, he serves as an Associate Professor in the Department of Electrical Engineering at Eindhoven University of Technology, where he collaborates on research in wireless telecommunication and electromagnetics.

Research Interests 🔍

Dr. Caratelli’s research interests lie primarily in the fields of computational electromagnetics, antenna design, and nano-plasmonics. His work emphasizes the modeling of electromagnetic processes in UWB antennas and the development of advanced computational methods for solving complex boundary value problems. Additionally, he explores innovative materials and structures for sensors and robotics in emerging telecommunications.

Awards 🏆

Dr. Caratelli’s expertise and innovation have been recognized with several prestigious awards, including:

  • 2019: Elevated to IEEE Senior Member status.
  • 2016: Frost & Sullivan Best Practices Award for Technology Innovation in Advanced Antennas.
  • 2010: Best Paper Award from the Applied Computational Electromagnetics Society.
  • 2010: Young Antenna Engineer Prize at the ESA Antenna Workshop.
  • 2009: Six-month sponsorship from Wolfram Research for applied mathematics research.

Publications Top Notes 📚

Dr. Caratelli has published numerous influential papers in high-impact journals. Notable publications include:

“Unified time- and frequency-domain approach for accurate modeling of electromagnetic radiation processes in ultra-wideband antennas” (2010) – Published in IEEE Transactions on Antennas and Propagation, cited by other articles.

“Analytical approaches for nano-plasmonic and micro-millimetric antennas” (2011) – Published in IET Microwaves, Antennas and Propagation, cited by related studies.

“New approaches of nanocomposite materials for electromagnetic sensors and robotics” (2011) – Published in International Journal on Measurement Technologies and Instrumentation Engineering, cited by subsequent research.

“Fourier-like solution of the Dirichlet problem for the Laplace equation in k–type Gielis domains” (2011) – Published in Journal of Pure and Applied Mathematics: Advances and Applications, cited by further studies.

“A locally conformal FDTD analysis of a thin printed antenna for wide-band wireless applications” (2011) – Published in International Journal of Numerical Modelling: Electronic Networks, Devices and Fields, cited by additional papers.

“Conformal antenna array for ultra-wideband direction-of-arrival estimation” (2011) – Published in International Journal of Microwave and Wireless Technologies, cited by related publications.

“Analytical synthesis technique for linear uniform amplitude sparse arrays” (2011) – Published in Radio Science, cited by other works.

“Design and full-wave analysis of conformal ultra-wideband radio direction finders” (2011) – Published in IET Microwaves, Antennas and Propagation, cited by similar research.

“The Robin problem for the Helmholtz equation in a starlike planar domain” (2011) – Published in Georgian Mathematical Journal, cited by subsequent articles.

JOSE DANIEL LOPEZ BARRIENTOS | Mathematics | Best Researcher Award

Dr. JOSE DANIEL LOPEZ BARRIENTOS | Mathematics | Best Researcher Award

Profesor-Investigador, Universidad Anahuac México, Mexico

José Daniel López Barrientos is a distinguished researcher and educator in the fields of Basic Mathematics, Stochastic Control, and Game Theory. Currently, he is a part-time researcher at the Bachelor’s Programme in Actuarial Sciences at the Benemérita Universidad Autónoma de Puebla and a full-time researcher and teacher at the Universidad Anáhuac México. With a career marked by notable academic and research achievements, López Barrientos has significantly contributed to the fields of probability and risk theory.

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Research for “Best Researcher Award”

Strengths for the Award

José Daniel López Barrientos stands out as a prominent figure in the fields of Stochastic Control, Game Theory, and Probability and Risk Theory. His significant contributions to mathematical research and actuarial sciences are evidenced by his extensive academic and professional accomplishments:

Educational Background: López Barrientos holds a PhD in Mathematics from the Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional, which underscores his solid foundation in advanced mathematical concepts.

Research Excellence: His publications in high-impact journals such as Results in Control and Optimization and Cybernetics and Systems demonstrate his deep expertise and innovative approach in stochastic processes and game theory. Noteworthy recent works include studies on variance optimality in stochastic differential games and robust statistical estimation.

Professional Experience: With a rich background as a researcher and educator, he has held positions at renowned institutions including Universidad Anáhuac México and Saint Petersburg State University. His roles span from part-time teaching to research coordination and academic leadership, reflecting his versatility and commitment to advancing the field.

Grants and Honors: López Barrientos has received notable recognition such as membership in the Mexican Academy of Sciences and a distinguished award from the Consejo Mexiquense de Ciencia y Tecnología. These accolades are a testament to his influence and contributions to actuarial science and mathematics.

Areas for Improvement

While López Barrientos’ achievements are impressive, there are areas where further growth could enhance his already distinguished profile:

Broader Interdisciplinary Collaboration: Engaging in interdisciplinary research could open new avenues for innovation, integrating his expertise in stochastic control and game theory with emerging fields such as data science or artificial intelligence.

Increased Public Engagement: Greater involvement in public outreach and science communication could amplify the impact of his research. By translating complex mathematical concepts into accessible formats, he could broaden his influence beyond academic circles.

Expanded Research Funding: Securing additional research grants from international bodies could support more extensive projects and collaborative efforts, further advancing his research agenda and fostering new discoveries.

Education 🎓

José Daniel López Barrientos earned his PhD in Mathematics from the Centro de Investigación y de Estudios Avanzados del Instituto Politécnico Nacional in 2012. He also holds a Master of Sciences in Mathematics from the same institution, completed in 2006, and a Bachelor’s degree in Actuarial Sciences from Universidad Anáhuac México, achieved in 2003. Additionally, he passed the Society of Actuaries’ exam on “Mathematical Foundations of Actuarial Science” in 2002.

Experience 💼

López Barrientos has a rich professional background that includes roles as:

  • Academic Coordinator of the Masters in Risks at Universidad Anáhuac México (2022).
  • Post-doctoral Fellow at Saint Petersburg State University (2017-2018) and Université de Montréal (2015-2016).
  • Full-time Teacher and Researcher at Universidad La Salle (2011-2014) and Chair of the Actuarial Sciences undergraduate program.
  • Part-time Teacher at various institutions including Universidad Nacional Autónoma de México and Universidad Autónoma del Estado de México.
  • Software Developer at Bufete Matemático Actuarial (2002-2004).

Research Interest 🔍

José Daniel López Barrientos focuses on Basic Mathematics, Stochastic Control and Game Theory, and Probability and Risk Theory. His research explores complex mathematical models and their applications, particularly in stochastic processes and optimal control problems.

Awards 🏆

  • 2024: Member of the Mexican Academy of Sciences.
  • 2023: Second place in the “Fundadores” prize by the Asociación Mexicana de Actuarios.
  • 2023: Distinguished by the Consejo Mexiquense de Ciencia y Tecnología for his paper on robust statistical estimation.

Publications Top Notes📚

López-Barrientos, José Daniel; Plata Gallegos, Humberto (2024). Una nueva aproximación a la constitución de una reserva actuarial de arriba p’abajo Actuarios Trabajando, 15: 1-24.

López-Barrientos, José Daniel (2023). Robust Statistic Estimation in Constrained Optimal Control Problems of Pollution Accumulation (Part II: Markovian Switchings) Mathematics, DOI: 10.3390/math11041045.

López-Barrientos, José Daniel (2023). Constrained Stochastic Differential Games with Markovian Switchings and Additive Structure: The Total Expected Payoff Results in Control and Optimization, DOI: 10.1016/j.rico.2023.100288.

López-Barrientos, José Daniel (2023). On the Discrete-Time Minimum Principle in Multiple-Mode Systems Cybernetics and Systems, DOI: 10.1080/01969722.2023.2175492.

López-Barrientos, José Daniel (2023). Robust Statistic Estimation in Constrained Optimal Control Problems of Pollution Accumulation (Part II: Markovian Switchings) Mathematics, DOI: 10.3390/math11041045.

Conclusion

José Daniel López Barrientos is a highly qualified candidate for the “Best Researcher Award,” distinguished by his groundbreaking research, extensive academic experience, and notable honors. His contributions to stochastic control, game theory, and risk theory have significantly impacted the field, demonstrating a commitment to excellence in both research and education. Addressing areas for further growth, such as interdisciplinary collaboration and public engagement, could enhance his already impressive career and broaden his influence.