Prof. Gresky Gutiérrez Sánchez | Analysis | Best Researcher Award

Prof. Gresky Gutiérrez Sánchez | Analysis | Best Researcher Award

Prof. Gresky Gutiérrez Sánchez, Pnud/Senacyt, Panama.

Gresky Gutiérrez Sánchez is an accomplished statistician with extensive expertise in multivariate analysis, data modeling, and applied research 📊. He specializes in R and Python programming for advanced statistical solutions and has contributed significantly to bibliometric studies and innovation impact assessments. Currently pursuing a Ph.D. in Multivariate Statistics at the University of Salamanca 🎓, his research explores the application of Bootstrap techniques in sparse solutions. With a background in academia and governmental organizations, he has played a key role in national research projects in Panama 🇵🇦. His passion lies in transforming data into actionable insights for science and policy 📈.

Professional Profile:

Orcid

Suitability for Best Researcher Award: Gresky Gutiérrez Sánchez

Gresky Gutiérrez Sánchez is a distinguished statistician with extensive expertise in multivariate analysis, bibliometric research, and innovation impact assessment. His work spans both academic research and governmental applications, making significant contributions to data-driven decision-making in policy and scientific development. His research on Bootstrap techniques for sparse statistical solutions is advancing high-dimensional data modeling, while his machine learning and Big Data expertise enhances predictive analytics across multiple disciplines. Given his scientific contributions, international collaborations, and research excellence, he is a strong candidate for the Best Researcher Award.

🎓 Education & Experience

  • Ph.D. (In Progress, 2025) – Multivariate Statistics, University of Salamanca, Spain 🇪🇸

    • Thesis: “Bootstrap como Nuevo Enfoque para Estabilizar Soluciones Sparse”

  • M.Sc. (2021) – Advanced Multivariate Data Analysis & Big Data, University of Salaman

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  • B.Sc. (2017) – Statistical Engineering, University of Panama 🇵🇦

💼 Work Experience:

  • Statistical Expert, SENACYT (Current) 🏛️

    • Leading data-driven research on innovation and scientific development.

  • Data Analyst & Researcher, University of Salamanca (2020-2023) 🧪

    • Conducted bibliometric studies and statistical modeling for research projects.

  • Visiting Professor, University of Milagro, Ecuador (2022-2023) 🎓

    • Taught courses in multivariate analysis and applied statistics.

  • Statistical Consultant, Auditsa Panamá (2018-2019) 📊

    • Developed analytical tools for financial audits and operational reviews.

🚀 Professional Development

Gresky Gutiérrez Sánchez is a dedicated statistician and researcher passionate about leveraging data science for innovation and policy-making 🔍📈. His expertise in multivariate analysis, machine learning, and bibliometrics has enabled him to contribute to impactful research in academia and government sectors. He has designed statistical strategies for national innovation projects, collaborated on international studies, and trained professionals in statistical modeling and data analysis 🎓. As a speaker and educator, he actively shares knowledge on emerging trends in statistics and Big Data. His work bridges the gap between theory and real-world applications, fostering data-driven decision-making across disciplines.

🔬 Research Focus 

Gresky’s research centers on multivariate statistics, computational methods, and bibliometric analysis 📊. His Ph.D. work explores Bootstrap methodologies to enhance sparse statistical models, optimizing predictive accuracy for high-dimensional datasets. He is also deeply involved in scientometric studies, assessing scientific collaboration and innovation trends globally 🌍. Additionally, his expertise in machine learning and Big Data analytics allows him to develop predictive models for economic and scientific impact assessments 📉. His work integrates statistical theory with real-world applications, particularly in policy research, helping governments and institutions make data-driven decisions to foster sustainable development and research growth.

🏆 Awards & Honors

  • Research Fellowship, University of Salamanca (2021-2023) 🎓

  • Best Statistical Paper Presentation, VI National Congress of Statistics, Panama (2024) 📜

  • Government Recognition for Contributions to Innovation Research, SENACYT (2023) 🏅

  • Scientific Collaboration Award, Bibliometric Analysis in the Andean Region (2022) 🌎

  • Merit Scholarship for Master’s Studies, University of Salamanca (2019-2021) 🎖️

Publication Top Notes:

Scientific Collaboration and Sustainable Development: A Bibliometric Analysis of the Andean Region, Panama, and Spain

SUSAM BORAL | Computational Nanotechnology | Best Researcher Award

Dr. SUSAM BORAL | Computational Nanotechnology | Best Researcher Award

Research Fellow at Trinity College Dublin, Ireland.

📌 Dr. Susam Boral is a Research Fellow at Trinity College Dublin, specializing in mathematical modeling, wave interactions, and hydroelasticity. He earned his Ph.D. in Hydroelasticity from IIT Kharagpur (2022) and has held research positions at Harbin Engineering University and IIT Kharagpur. His expertise includes two-point boundary value problems, dissipative nonlinear Schrödinger equations, and potential flow analysis. Dr. Boral has organized international workshops, collaborated with esteemed institutions like Cambridge University and the University of Newcastle, and published extensively in high-impact journals.

Professional Profile:

Google Scholar

Education 🎓

  • 📍 Executive PG Certification in Data Science & AIIIT Roorkee & Intellipaat (2024–Present)
  • 📍 Ph.D. in HydroelasticityIIT Kharagpur (2022)
  • 📍 M.Sc. in Applied MathematicsUniversity of Calcutta (2018)
  • 📍 B.Sc. in Mathematics (Hons.)University of Calcutta (2016)

Experience 🏆

  • 🔬 Research Fellow, Trinity College Dublin, Ireland (Nov 2024 – Present)
  • 🏗️ Postdoctoral Fellow, Harbin Engineering University, China (June 2023 – Oct 2024)
  • 🔍 Research Associate, IIT Kharagpur, India (March 2023)

Professional Development & Achievements 📚

  • 🏅 CSIR Senior Research Fellowship, India (2020–2022)
  • 🏅 CSIR Junior Research Fellowship, India (2018–2020)
  • 🏆 First Rank in M.Sc. & B.Sc. Mathematics, University of Calcutta
  • 🌍 Visiting Researcher, Isaac Newton Institute, Cambridge University (2023)
  • 🌏 SPARC Visiting Scholar, University of Newcastle, Australia (2020)
  • 🎓 Workshop Organizer, International Workshop on Mathematics of Sea Ice and Ice Sheets (MOSSI) (2023–2024)

Publication Top Notes

📖 The role of viscoelastic foundation on flexural gravity wave blocking in shallow water –📑 16 citations | 📅 2021

🌊 Bragg scattering of long flexural gravity waves by an array of submerged trenches and the analysis of blocking dynamics –  📑 15 citations | 📅 2021

🧊 Bragg scattering of flexural-gravity waves by a series of polynyas in the context of blocking dynamics – 📑 12 citations | 📅 2023

🌊 Time-dependent flexural gravity wave scattering due to uneven bottom in the paradigm of blocking dynamics – 📑 9 citations | 📅 2023

🔍 Gravity wave interaction with an articulated submerged plate resting on a Winkler foundation – 📑 9 citations | 📅 2022