Dr RICHARD SANCHEZ | Nuclear Engineering | Best Researcher Award |

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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.

Assoc. Prof. Dr Khrystyna Lipianina-Honcharenko | Computer Science | Young Scientist Award |

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Assoc. Prof. Dr Khrystyna Lipianina-Honcharenko | Computer Science | Young Scientist Award

Associate professor , at West Ukrainian National University, Ukraine.

Assoc. Prof. Dr. Khrystyna Lipianina-Honcharenko is a dedicated academic and researcher specializing in Information Technology, with a strong foundation in economic cybernetics and artificial intelligence. Based at the West Ukrainian National University in Ternopil, Ukraine, she has steadily progressed through the academic ranks, currently serving as an Associate Professor in the Department of Information Computer Systems and Control. Her work bridges data science, simulation, and socio-economic modeling, with a strong commitment to research excellence and innovation in education and interdisciplinary projects.

Professional Profile

Orcid

Google Scholar

Education 🎓

Dr. Lipianina-Honcharenko holds a Ph.D. in Technical Sciences (2019), with a specialization in Information Technology, and is currently completing her Doctor of Technical Sciences (2025) at West Ukrainian National University. She began her academic journey with a Bachelor’s degree in Economic Cybernetics (2011), followed by a Master’s degree in Information Technologies in Economics (2012). She also completed postgraduate studies in Economic Cybernetics and Informatics between 2013 and 2017. Her education reflects a deep and consistent engagement with technical and analytical disciplines critical to modern digital research.

Experience 💼

Dr. Lipianina-Honcharenko has over a decade of academic experience. She began as a Laboratory Assistant in the Department of Economic Cybernetics and Informatics (2012–2014), before becoming a Lecturer in the same department (2013–2020). She then served as a Senior Lecturer in the Department of Information Computer Systems and Control (2020–2021) and was promoted to Associate Professor in 2021, a role she currently holds. Her teaching and mentorship have consistently focused on data science, IT systems, and modeling, contributing to the development of future tech-savvy professionals.

Research Interests 🔬

Her research interests include data analysis, simulation, machine learning, modeling and forecasting socio-economic processes, and the development of artificial intelligence methods. She actively contributes to cutting-edge research in cyber-physical systems, and has led or participated in numerous national and international projects, including Erasmus+ initiatives, disinformation detection tools (TruScanAI), and digital heritage visualization through augmented and virtual reality. Her work is known for its interdisciplinary applications, blending technology, economics, and societal impact.

Awards 🏆

While specific named awards are not listed, Dr. Lipianina-Honcharenko’s selection and participation in prestigious European research initiatives such as Erasmus+ “Work4CE”, My Farm, and AURA projects highlight her recognized competence and contribution on an international scale. Her leadership in these multi-national projects reflects her credibility and collaborative skills in the global academic community.

Top Noted Publications 📚

1. Decision Tree Based Targeting Model of Customer Interaction with Business Page
Authors: H. Lipyanina, A. Sachenko, T. Lendyuk, S. Nadvynychny, S. Grodskyi
Index: CMIS
Citations: 37
Year: 2020
Pages: 1001–1012

2. Economic Crime Detection Using Support Vector Machine Classification
Authors: A. Krysovatyy, H. Lipyanina-Goncharenko, S. Sachenko, O. Desyatnyuk
Index: MoMLeT+ DS 2917
Citations: 25
Year: 2021
Pages: 830–840

3. Assessing the Investment Risk of Virtual IT Company Based on Machine Learning
Authors: H. Lipyanina, V. Maksymovych, A. Sachenko, T. Lendyuk, A. Fomenko, I. Kit
Index: International Conference on Data Stream Mining and Processing
Citations: 24
Year: 2020
Pages: 167–187

4. Targeting Model of HEI Video Marketing Based on Classification Tree
Authors: H. Lipyanina, S. Sachenko, T. Lendyuk, A. Sachenko
Citations: 22
Year: 2020

5. Concept of the Intelligent Guide with AR Support
Authors: K. Lipianina-Honcharenko, R. Savchyshyn, A. Sachenko, A. Chaban, I. Kit, et al.
Index: International Journal of Computing, Vol. 21, No. 2
Citations: 19
Year: 2022
Pages: 271–277

Conclusion

Assoc. Prof. Dr. Khrystyna Lipianina-Honcharenko exemplifies the qualities of a committed young scientist, with a diverse academic background, substantial international research experience, and a clear focus on interdisciplinary innovation. Her growing portfolio of research, especially in AI and cyber-physical systems, makes her a highly suitable candidate for prestigious recognitions such as the Research for Young Scientist Award. With continued development in international communication and publication outreach, she is well-positioned to make an even broader impact in the global scientific arena.

Prof Joel Horowitz | Economics | Best Researcher Award |

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Prof. Joel Horowitz | Economics | Best Researcher Award

Professor , at Northwestern University,United States

Prof. Joel L. Horowitz is a distinguished economist and expert in econometrics, with a long and impactful career spanning over five decades. He is the Charles E. and Emma H. Morrison Professor of Economics at Northwestern University and has made substantial contributions to the field of econometrics through his research on nonparametric and semiparametric methods. Known for his profound insights into econometric modeling, Prof. Horowitz has influenced both the academic and professional landscapes of economics globally.

profile

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Google scholar

Education

Prof. Horowitz earned his Ph.D. in Physics from Cornell University in 1967, which laid the foundation for his analytical and quantitative approach in economics. He also holds a B.S. in Physics from Stanford University, completing his undergraduate studies in 1962. His strong background in physics has played a significant role in shaping his contributions to econometrics and statistical methods.

Experience

Prof. Horowitz has had a distinguished academic career, serving as the Charles E. and Emma H. Morrison Professor of Economics at Northwestern University since 2001. Prior to this, he was a professor at the University of Iowa, where he also held the Henry B. Tippie Research Professor of Economics role from 1997. His professional journey includes significant work in operations research as a Senior Operations Research Analyst at the U.S. Environmental Protection Agency, and technical roles at the Research Analysis Corporation. Prof. Horowitz has been a visiting professor at numerous prestigious institutions, including Hong Kong University of Science and Technology, University College London, and the Massachusetts Institute of Technology.

Research interest

Prof. Horowitz’s research primarily focuses on econometrics, with particular expertise in semiparametric and nonparametric methods. His work addresses high-dimensional econometric models, variable selection, and estimation techniques. He has made groundbreaking contributions in the application of these methods to economic modeling and policy analysis. Additionally, his studies have impacted urban transportation planning and environmental economics, particularly in air quality analysis.

Awards

Throughout his career, Prof. Horowitz has received numerous accolades, recognizing his outstanding contributions to the field of econometrics. He was awarded the Alexander von Humboldt Research Award in 1999 and is a Fellow of both the Econometric Society and the American Statistical Association. He has also been elected a National Associate of the National Academies and received an honorary doctorate from Humboldt Universität zu Berlin. His recognition extends to various professional societies, including the International Statistical Institute and the International Association for Applied Econometrics.

Publications

Fairness in simple bargaining experiments
Authors: R Forsythe, JL Horowitz, NE Savin, M Sefton
Citations: 3194
Journal: Games and Economic Behavior
Volume: 6
Issue: 3
Pages: 347-369
Year: 1994

Implementing climate and global change research: A review of the final US Climate Change Science Program strategic plan
Authors: National Research Council, Division on Engineering, Physical Sciences, et al.
Citations: 1575*
Publisher: National Academies Press
Year: 2004

The bootstrap
Author: JL Horowitz
Citations: 1236
Journal: Handbook of Econometrics
Volume: 5
Pages: 3159-3228
Year: 2001

On blocking rules for the bootstrap with dependent data
Authors: P Hall, JL Horowitz, BY Jing
Citations: 825
Journal: Biometrika
Volume: 82
Issue: 3
Pages: 561-574
Year: 1995

A smoothed maximum score estimator for the binary response model
Author: JL Horowitz
Citations: 800
Journal: Econometrica: Journal of the Econometric Society
Pages: 505-531
Year: 1992

Conclusion

Prof. Joel Horowitz is a highly accomplished and globally recognized economist whose work has had a lasting impact on econometrics and economics as a whole. His extensive academic career, coupled with his numerous honors and substantial contributions to research, makes him a highly deserving candidate for the Best Researcher Award. His groundbreaking research in semiparametric and nonparametric econometrics has reshaped how economists approach data and modeling, and his continued involvement in top-tier academic institutions and professional societies underscores his enduring influence in the field.

Prof. Dr Ji-Tong Liu | Organ Protection | Best Researcher Award |

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Prof. Dr. Ji-Tong Liu | Organ Protection | Best Researcher Award

Director physician , at Hunan Provincial People’s Hospital, The First Affiliated Hospital of Hunan Normal University,China

Prof. Dr. Ji-Tong Liu is a leading clinical anesthesiologist and the Director of the Anesthesiology Department at Hunan Provincial People’s Hospital. With over three decades of medical experience and a reputation for scientific excellence, he is recognized for his significant contributions to perioperative medicine, trauma care, and neuroprotective anesthetic strategies. As Chief Physician, he combines clinical leadership with innovative research, mentoring, and national-level academic engagement.

profile

Scopus

Education

Dr. Liu began his medical journey at the University of South China, where he obtained his Bachelor’s degree in 1993. He then pursued advanced medical studies at Xiangya School of Medicine, Central South University, earning his Master’s degree in 2002 and subsequently completing a Doctorate in 2013. His academic progression reflects a deep commitment to continuous learning and expertise in the field of anesthesiology.

Experience

Currently serving as Director and Chief Physician, Dr. Liu holds leading responsibilities in anesthesiology services at Hunan Provincial People’s Hospital. He plays a critical role in quality management and policy formation for trauma and anesthesiology across Hunan province. He has also completed recent training in Good Clinical Practice (GCP) and clinical ethics, ensuring compliance with global standards in research and patient care.

Research interest

Dr. Liu’s research is centered on the intersection of anesthesiology and translational medicine, particularly in hepatic ischemia-reperfusion injury, postoperative cognitive dysfunction (POCD), and pharmacokinetics of anesthetic drugs. He has led multiple Phase IV clinical trials exploring the mechanisms of action for novel anesthetics like Remimazolam Besylate and Dexmedetomidine, focusing on molecular pathways such as Keap1-Nrf2 and neuroinflammation. His work advances both the theoretical and clinical understanding of modern anesthesia.

Awards

While specific award names were not listed in the CV, Dr. Liu’s selection as a committee member, deputy chairman, and director across more than ten professional societies signifies national recognition and peer endorsement. His role in high-level anesthesiology quality control centers and medical education associations further highlights his influence and excellence in the field.

Publications

Title: Non-linear relationship between arteriosclerosis index and diabetes risk in non-obese East Asian adults
Authors: J. Cao, Jitong Liu, Ke Yu, Shunrong Lv, Wenfei Zeng
Journal: Scientific Reports
Year of Publication: 2025
Indexing: Indexed in Scientific Reports (Nature Portfolio, SCI journal)

Conclusion

Prof. Dr. Ji-Tong Liu stands as a model of clinical excellence, academic rigor, and leadership in anesthesiology. With a strong foundation in research, patient care, and institutional development, he continues to shape the future of perioperative medicine in China. His impressive resume and ongoing commitment to medical innovation make him an outstanding candidate for honors such as the Best Researcher Award.

Assoc. Res. Dr Yueming Zhong | Algebraic Combinatorics | Best Researcher Award |

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Assoc. Res. Dr Yueming Zhong | Algebraic Combinatorics | Best Researcher Award

Associate Researcher, at Hainan University, China.

Assoc. Res. Dr. Yueming Zhong is a dedicated researcher in algebraic combinatorics, with expertise in constant term identities, Ehrhart theory, and combinatorial enumeration. He has made significant contributions to the field through high-impact publications and research projects. Currently an Associate Researcher at Hainan University, China, he actively collaborates with leading mathematicians and mentors young researchers.

Professional Profile

Scopus

Orcid

Education 🎓

Dr. Zhong earned his Ph.D. in Mathematics (2018–2022) and M.S. in Mathematics (2015–2018) from Capital Normal University, under the supervision of Prof. Guoce Xin. He completed his B.S. in Mathematics at Xiangtan University (2009–2013), laying the foundation for his research in combinatorial mathematics.

Professional Experience 💼

Currently serving as an Associate Researcher at Hainan University (2025–Present), Dr. Zhong is actively engaged in research, teaching, and mentoring. Previously, he was a Postdoctoral Researcher at Central South University (2022–2024), where he worked closely with Prof. Yue Zhou on algebraic combinatorics and combinatorial structures.

Research Interests 🌍

His research primarily revolves around algebraic combinatorics, focusing on constant term identities, combinatorial enumeration, and polyhedral combinatorics. His work provides mathematical insights into combinatorial structures, proving key conjectures and advancing theoretical frameworks in the field.

Awards & Honors 🏆

Dr. Zhong has been recognized for his research excellence, securing prestigious grants, including the National Natural Science Foundation of China (NSFC) Youth Project and the Hunan Provincial Natural Science Foundation Youth Project (2025–2027). His growing influence is reflected in his peer-review contributions for leading mathematical journals.

Top Noted Publications 📚

The Constant Term Algebra of Type A: The Structure – Advances in Mathematics, 2025.
Authors: Guoce Xin, Chen Zhang, Yue Zhou, Yueming Zhong.
DOI: 10.1016/j.aim.2025.110154

On Magic Distinct Labellings of Simple Graphs – Journal of Symbolic Computation, 2023.
Authors: Guoce Xin, Xinyu Xu, Chen Zhang, Yueming Zhong.
DOI: 10.1016/j.jsc.2023.02.005

A Combinatorial Proof of the Unimodality and Symmetry of Weak Composition Rank Sequences – Annals of Combinatorics, 2023.
Author: Yueming Zhong.
DOI: 10.1007/s00026-022-00624-0

Proving Some Conjectures on Kekulé Numbers for Certain Benzenoids by Using Chebyshev Polynomials – Advances in Applied Mathematics, 2023.
Authors: Guoce Xin, Yueming Zhong.
DOI: 10.1016/j.aam.2022.102479

A Combinatorial Proof of the Parity Unimodality of the (m,n)-Rational q-Catalan Polynomial for m=3 – Applied Mathematics and Computation, 2023.
Authors: Yue Zhou, Yueming Zhong.
DOI: 10.1016/j.amc.2022.127616

On Parity Unimodality of q-Catalan Polynomials – Electronic Journal of Combinatorics, 2020.
Authors: Yueming Zhong, Guoce Xin.
DOI: 10.37236/8870

Conclusion

Yueming Zhong is a strong candidate for the Best Researcher Award, especially in the field of algebraic combinatorics. His consistent high-impact publications, research funding, and academic collaborations make him a competitive nominee. However, gaining broader recognition through awards, applied research contributions, and leadership roles in academic communities could further enhance his candidacy.