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.

Mr Farshad Sadeghpour | Engineering | Best Researcher Award |

Mr.Farshad Sadeghpour | Engineering | Best Researcher Award | 

Researcher, at Petroleum University of Technology (PUT) ,Iran

Mr. Farshad Sadeghpour is a highly motivated and multidisciplinary Petroleum Engineer and Data Scientist with a strong academic foundation and hands-on industry experience. He specializes in applying artificial intelligence, machine learning, and geomechanical modeling to tackle real-world challenges in petroleum exploration and reservoir engineering. With an impressive track record of publications, research collaborations, and award-winning projects, Mr. Sadeghpour stands out as an innovative young professional pushing the frontiers of modern petroleum engineering.

Professional Profile

Orcid

Education 🎓

Mr. Sadeghpour holds a Master of Science in Petroleum Engineering (Exploration) from the Petroleum University of Technology, Abadan, Iran (2019–2022), where he graduated with a stellar GPA of 18.82/20. He earned his Bachelor of Science in Petroleum Engineering (Exploration) from the Islamic Azad University, Science and Research Branch, Tehran, Iran (2015–2019), achieving an exceptional GPA of 19.14/20. His academic journey reflects deep technical knowledge, diligence, and consistent excellence.

Experience 👩‍

Mr. Sadeghpour has worked across leading organizations in Iran’s energy sector. His roles include Petroleum Engineer, Petrophysicist, and Data Scientist at institutions such as the Research Institute of Petroleum Industry (RIPI), Petro Vision Pasargad (PVP), Computer Aided Process Engineering (CAPE), and the National Iranian South Oil Company (NISOC). His work involved RCAL, SCAL, EOR laboratory operations, geomechanical modeling, machine learning implementation, and reservoir data analysis—reflecting a strong blend of fieldwork, laboratory experience, and data-driven insights.

Research Interests 🔬

Farshad’s research is at the intersection of petroleum engineering, data science, and geomechanics. He focuses on using machine learning, deep learning, and AI-based models to solve complex reservoir problems such as mud loss prediction, permeability estimation, and CO₂ storage assessment. His work emphasizes both theoretical modeling and practical industry applications, often conducted in collaboration with organizations such as NISOC, RIPI, and the National Iranian Oil Company. His master’s thesis and several projects revolve around neural networks, genetic algorithms, and petrophysical characterization, showing his innovative edge.

Awards 🏆

Farshad’s dedication to excellence was recognized internationally when he secured Third Prize in the EAGE Laurie Dake Challenge 2022 held in Madrid, Spain—a highly competitive event for petroleum engineering students worldwide. He has also been involved in significant national-level research projects with reputed institutions, showcasing his contributions to both academic and industrial progress.

Top Noted Publications 📚

Farshad has co-authored and led multiple high-impact publications in Q1 journals, including:

Energy (2025): Machine learning for CO₂ storage feasibility.

Journal of Petroleum Exploration and Production Technology (2025): New petrophysical-mathematical approach for RQI and FZI.

Geoenergy Science and Engineering (2024): Upscaling methods for elastic modulus prediction.

Journal of Rock Mechanics and Geotechnical Engineering (2024): Stress effects on fracture development in the Asmari reservoir.

Multiple papers under review in Marine and Petroleum Geology, International Journal of Coal Geology, and others.

Conclusion

In conclusion, Farshad Sadeghpour exemplifies the profile of a next-generation energy researcher—technically brilliant, research-oriented, and industry-relevant. His interdisciplinary expertise, publication record, award-winning work, and innovative mindset make him an outstanding candidate for prestigious recognitions such as the Best Researcher Award. His contributions are not only academically significant but also strategically aligned with the global shift toward smart and sustainable energy solutions.