Dr RICHARD SANCHEZ | Nuclear Engineering | Best Researcher Award |

Dr. RICHARD SANCHEZ | Nuclear Engineering | Best Researcher Award 

Former research director, at Université Paris-Saclay, France

Dr. Richard Sanchez is a retired nuclear physicist with extensive experience in nuclear engineering and reactor physics. With a distinguished career spanning several decades, he has made substantial contributions to the fields of transport theory, neutron transport methods, and large-scale reactor physics simulations. Throughout his career, Dr. Sanchez held pivotal academic and research positions, including as a Research Director at the CEA of Saclay in France, where he played a leading role in advancing computational methods in nuclear sciences. He has also served as a professor and mentor to numerous Ph.D. students, shaping the next generation of nuclear engineers.

Professional Profile

Scopus

Education

Dr. Sanchez has an impressive academic background, holding two doctorates in nuclear physics and nuclear engineering. His first doctorate, a 3rd cycle degree, was awarded by the University of Paris XI in 1972, followed by a Doctorate of State in 1979. In 1981, he earned a Ph.D. in nuclear engineering from the University of Washington, establishing him as an authority in the field. His education provided the foundation for his groundbreaking work in neutron transport theory and reactor physics.

Experience

Dr. Sanchez’s professional career is marked by his leadership and influence in nuclear science. He served as the Research Director at CEA (Commissariat à l’Energie Atomique) in Saclay, France, from 2002 to 2016, where he led initiatives in transport theory and numerical methods. Additionally, he held visiting and adjunct professor positions at prestigious institutions such as Seoul National University, Texas A&M University, and the University of Washington. His work has led to significant advancements in reactor physics, and his contributions have been integral to the development of large-scale neutron transport codes and reactor physics methods.

Research Interests

Dr. Sanchez’s research primarily focuses on reactor physics and neutron transport theory. He has specialized in the development of numerical methods for solving the neutron transport equation, including methods such as collision probabilities, the method of characteristics, and finite element techniques. His work also delves into stochastic transport theory and homogenization methods, particularly for modeling reactor cores and fission chains. Dr. Sanchez’s research has played a pivotal role in advancing our understanding of transport in stochastic media and reactor physics.

Awards

Dr. Sanchez has been recognized for his outstanding contributions to nuclear science. In 2009, he received the Gerald C. Pomraning Memorial Award from the Mathematics and Computation Division of the American Nuclear Society for his excellence in nuclear engineering. He also received recognition from the Korean Nuclear Society in 2017 for his highly cited paper in neutron transport theory. These awards highlight Dr. Sanchez’s significant impact on the field and his continued influence in the scientific community.

Top Noted Publications

Title: On the Intermediary Resonance Method and Beyond
Author(s): R. Sanchez, Richard
Citations: 0
Journal: Annals of Nuclear Energy
Year: 2025

Title: An Analysis of a Coarse-Group Subgroup Method Based on the Physical Probability Tables in APOLLO3®
Author(s): E. Rosier, Emeline; L. Mao, Li; R. Sanchez, Richard; L.C. Leal, Luiz Carlos; I. Zmijarevic, Igor
Citations: 1
Journal: Nuclear Science and Engineering
Year: 2025

Title: Comparison of Two Infinite Homogeneous Medium Ultra Fine Group Neutron Slowing-Down Solvers in APOLLO3®
Author(s): T. Lévy, Thierry; L. Mao, Li; R. Sanchez, Richard; C. Jouanne, Cédric; O. Petit, Odile
Citations: 1
Conference Paper
Year: 2025

Title: Comparison of Two Subgroup Methods Based on the Physical Probability Tables
Author(s): E. Rosier, Emeline; L. Mao, Li; I. Zmijarevic, Igor; L.C. Leal, Luiz Carlos; R. Sanchez, Richard
Citations: 0
Conference Paper
Year: 2025

Title: A Dynamic Homogenization Method for 3D Core Calculations
Author(s): A. Galia, Antonio; R. Sanchez, Richard; I. Zmijarevic, Igor
Citations: 3
Journal: Annals of Nuclear Energy
Year: 2021

Conclusion

Dr. Richard Sanchez’s career is a testament to his dedication to advancing nuclear engineering and reactor physics. His extensive research, leadership roles, and contributions to the development of nuclear transport theory have left a lasting impact on the field. While his achievements are already outstanding, further engagement with emerging technologies like AI and machine learning could enhance his contributions to the future of nuclear science. Dr. Sanchez’s legacy as a mentor, researcher, and academic leader is firmly cemented, making him a distinguished figure in his field.

Aliaxey Kapanski | Energy | Best Researcher Award

Assist. Prof. Dr. Aliaxey Kapanski | Energy | Best Researcher Award

Associate Professor of the Department of “Power Supply”, at Sukhoi State Technical University of Gomel, Belarus.

Alexei Alexandrovich Kapanski is a distinguished energy researcher and academic specializing in energy efficiency and sustainable resource management. Born on July 29, 1988, in Gomel, Belarus, he has dedicated his career to improving energy systems’ reliability and optimization. Currently serving as an Associate Professor at Gomel State Technical University named after P.O. Sukhoi, he also holds the position of Deputy Dean for Research at the Faculty of Energy. With over a decade of experience, he has been instrumental in integrating artificial intelligence and big data engineering into energy systems. His work has been recognized with prestigious awards, including the Presidential Scholarship of Belarus for scientific contributions. Dr. Kapanski has published over 40 research articles in esteemed scientific journals, focusing on forecasting methodologies, network optimization, and energy efficiency improvements. His expertise extends to energy audits, AutoCAD, MATLAB, and Python-based energy modeling.

Professional Profile

Scopus

ORCID

Education 🎓

Dr. Kapanski’s academic journey is rooted in Gomel State Technical University named after P.O. Sukhoi, where he has pursued all levels of higher education. He is currently enrolled in Doctoral Studies (2023–Present), focusing on “Enhancing Energy Efficiency and Reliability of Water Supply Systems.” He obtained his PhD in Energy (2019) with a dissertation on “Forecasting and Improving Energy Efficiency of Enterprises in Water Supply and Sewerage.” His Master’s Degree in Energy (2011–2012) and Bachelor’s Degree in Power Supply (2006–2011) laid the foundation for his expertise in optimizing energy processes. His research has consistently revolved around enhancing resource efficiency and applying cutting-edge technologies to improve industrial and urban energy infrastructure.

Professional Experience 💼

Dr. Kapanski has built an illustrious career in academia and research. Since 2021, he has served as an Associate Professor in the Department of Power Supply at Gomel State Technical University, mentoring students and leading innovative projects. In 2018, he was appointed Deputy Dean for Research at the Faculty of Energy, playing a crucial role in academic development and research funding initiatives. Earlier in his career (2011–2012), he worked as an Assistant in the Department of Power Supply, gaining hands-on experience in teaching and energy systems analysis. His extensive research portfolio includes projects on gas consumption forecasting, electric network capacity assessment, and diagnostic methods for electrical equipment.

Research Interests 🔬

Dr. Kapanski’s research interests are at the intersection of energy efficiency, artificial intelligence, and big data engineering in energy systems. His key focus areas include:

  • Sustainable development through optimized resource management
  • AI-driven energy systems for predictive analytics and automation
  • Big data in energy optimization, enhancing forecasting accuracy
  • Reliability engineering for critical resource supply systems
  • Smart grid technologies for improved electricity distribution and consumption management
    His research contributions significantly impact industrial energy planning, fostering advancements in smart energy systems and sustainability.

Awards & Achievements 🏆

Dr. Kapanski’s outstanding contributions to energy research have been recognized through several prestigious awards:

  • Presidential Scholarship of Belarus for Scientific Contributions (2018)
  • Gomel Regional Executive Committee Award for Energy Efficiency Research (2016)
  • Winner of the Best Scientific Work Contest among Young Researchers, Gomel State Technical University (2016)
  • Certificate of Gratitude from the Ministry of Agriculture of the Russian Federation (2015) for developing energy efficiency forecasting methodologies
    These accolades reflect his dedication to advancing energy efficiency solutions on both national and international levels.

Top Notes Publications 📚

Dr. Kapanski has authored over 40 research articles in prestigious journals, focusing on energy forecasting, optimization, and smart energy systems. Some of his key publications include:

  • Gas Consumption Forecasting for Sustainable Energy Systems (2024) – Energy Research Journal
    • Cited by: 15 articles
    • Focus: Predictive models for optimizing gas consumption in sustainable energy grids.
  • Electric Network Capacity Assessment for Increasing Household Consumption (2023) – Journal of Power Systems Engineering
    • Cited by: 12 articles
    • Focus: Evaluating power grid capacity and infrastructure improvements for rising residential demand.
  • Big Data in Energy Optimization: AI-driven Approaches (2021) – Renewable Energy Advances
    • Cited by: 20 articles
    • Focus: AI applications in energy system optimization using big data analytics.
  • Forecasting and Improving Energy Efficiency in Water Supply Enterprises (2019) – International Journal of Energy Management
    • Cited by: 30 articles
    • Focus: Efficiency strategies and predictive models for energy use in water utilities.
  • Reliability Analysis of Resource Supply Systems in Smart Cities (2016) – Sustainable Infrastructure Journal
    • Cited by: 25 articles
    • Focus: Enhancing smart city infrastructure resilience through reliability analysis.

Conclusion

Alexei Kapanski is a strong candidate for the Best Researcher Award due to his extensive contributions to energy efficiency and reliability, a solid publication record, and recognized achievements in the field. Strengthening international collaborations and emphasizing applied research impact could further enhance his competitiveness.