Tianchi Li | nuclear fuel reprocessing | Young Scientist Award

Assist. Prof. Dr Tianchi Li | nuclear fuel reprocessing | Young Scientist Award

assistant researchers  at China Institute of Atomic Energy , China

Tianchi Li is an Assistant Researcher at the China Institute of Atomic Energy, focusing on nuclear fuel reprocessing. With a solid background in chemical engineering, Li has contributed to advancing China’s nuclear energy sector by participating in five national projects and authoring 13 SCI papers. His expertise lies in the shearing and dissolving processes of spent nuclear fuel, a crucial aspect of sustainable nuclear technology. Li’s innovative approach has led to 17 patent applications, with three successfully authorized. His commitment to scientific excellence is evident through his contributions to cutting-edge nuclear reprocessing techniques.

Publication Profile

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🎓 Education 

📘 Bachelor’s Degree (2012-2016): School of Chemical Engineering Master’s Degree (2016-2019): School of Chemical Engineering Research Traineeship (2019-2021): Department of Radiochemistry Assistant Researcher (2021-Present): Department of Radiochemistry

💼 Experience 

🎓 Research Trainee (2019-2021): Gained hands-on experience in nuclear radiochemistry. Assistant Researcher (2021-Present): Engaged in nuclear fuel reprocessing with a focus on spent fuel shearing and dissolving. Project Contributions: Participated in five national-level nuclear research projects.

🏆 Awards and Honors

🚀 Patents: Applied for 17 invention patents; 3 authorized. Publications: 13 SCI-indexed journal articles. Projects: Contributor to five national projects advancing nuclear technology. Recognition: Acknowledged for significant contributions to China’s nuclear fuel reprocessing advancements.

🔬 Research Focus 

☢️ Primary Focus: Nuclear fuel reprocessing technologies. Key Expertise: Spent fuel shearing and dissolving processes 📊 Project Involvement: Critical role in developing innovative nuclear processing techniques.  Impact: Supports sustainable nuclear energy strategies in China.

Publications 📖

Experimental study on the laser cutting process of the stainless steel hexagonal tube of fast reactor simulate assembly
Journal: Nuclear Engineering and Design
Publication Date: February 2025
DOI: 10.1016/j.nucengdes.2024.113788
Co-authors: Zengliang Mo, Jia Zhou, Qi Chen, Zhi Cao, Jianhua Guo, et al.

Kinetics and mechanism of oxidation of simulated spent nuclear fuel segment at 500°C
Journal: Journal of Nuclear Materials
Publication Date: February 2025
DOI: 10.1016/j.jnucmat.2024.155581
Co-authors: Yandong Sun, Zheng Wei, Ying Chen, Fang Liu, Taihong Yan, et al.

Exploration of Optical Fiber and Laser Cutting Head Applications in High-Radiation Environments for Fast Reactor Spent Fuel Reprocessing
Journal: Sensors
Publication Date: December 2024
DOI: 10.3390/s25010031
Co-authors: Qi Chen, Jiarong Zheng, Jia Zhou, Zhengbin Chen, Zengliang Mo, et al.

Experimental study on laser cutting process of simulated fast reactor fuel rods
Journal: Scientific Reports
Publication Date: November 2024
DOI: 10.1038/s41598-024-81161-z
Co-authors: Zengliang Mo, Qi Chen, Jia Zhou, Zhi Cao, Jianhua Guo, et al.

Kinetics of the Dissolution Reaction of the U3O8 Powder in Nitric Acid after Oxidation Volatilization at 850 °C
Journal: ACS Omega
Publication Date: November 2024
DOI: 10.1021/acsomega.4c05400
Co-authors: Ziqian Zhao, Jia Zhou, Yandong Sun, Zonghui Lu, Ting Yu, et al.

Kinetic Study and Process Optimization of Plutonium Barrier Units for Enhanced Plutonium Stripping in the PUREX Process
Journal: Separations
Publication Date: September 2024
DOI: 10.3390/separations11090278
Co-authors: Haowei Zhu, Qi Chen, Chen Zuo, Jieqiong Yuan, et al.

Study on the Deactivation Mechanism of Ru/C Catalysts
Journal: Processes
Publication Date: May 2024
DOI: 10.3390/pr12061138
Co-authors: Zhi Cao, Baole Li, Xiwen Chen, Chen Zuo, et al.

Radiation Damage Mechanisms and Research Status of Radiation-Resistant Optical Fibers: A Review
Journal: Sensors
Publication Date: May 2024
DOI: 10.3390/s24103235
Co-authors: Jicong Li, Qi Chen, Jia Zhou, Zhi Cao, et al.

Dissolution of Mixed Oxide (MOX) Fuel in Nitric Acid: A Review
Journal: Heliyon
Publication Date: March 2024
DOI: 10.1016/j.heliyon.2024.e27502
Co-authors: Fang Liu, Zhou Jia, Fangxiang Luo, Taihong Yan, et al.

Conclusion

Tianchi Li’s robust patent activity, SCI publications, and involvement in national projects establish him as a promising contender for the Young Scientist Award. By enhancing his professional network, increasing citation visibility, and pursuing editorial or leadership roles, he can further strengthen his nomination and future career prospects.

Dr. Gildas Ngueuleweu Tiwang | chain dynamics | Best Researcher Award

Dr. Gildas Ngueuleweu Tiwang | chain dynamics | Best Researcher Award

Assist Prof Dr. Yun Li, University of Dschang, Cameroon, Cameroon

Dr. Gildas Ngueuleweu Tiwang is academic and researcher in the field of renewable energy, holds a PhD in Bio systems Engineering from Kangwon National University, South Korea. His academic journey has been marked by a profound dedication to advancing solar energy technologies, specifically in solar thermal harvesting and its integration into agricultural and architectural applications.

 

Professional Profiles:

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🌱 Work Experience

Dr. Ngueuleweu Tiwang Gildas has a rich experience in agroecology, rural development, environmental management, soil and water preservation, and natural pest management. He excels in teaching, project monitoring, and follow-up, and has made significant contributions to various research projects. His expertise lies in appraising the contributions of different agroecological zones to human wellbeing, investigating soil and water conservation strategies, and advocating for natural pest management practices. Dr. Gildas is also proficient in report and academic material writing, sharing insights with global audiences.🔍 Consultancy (Jun 2015 – Jun 2019) Dr. Gildas led a pioneering project focusing on the demand side of food security in Cameroon, employing a food demand system approach. His work highlighted the importance of ecological policies in addressing food insecurity while minimizing environmental degradation.

📚 Education and Training

Ph.D. in Agricultural Economics (2015 – 2019): Dr. Gildas’ doctoral research explored the food demand system’s role in enhancing food security, emphasizing agricultural policy, agroecology, nutrition, and economic shocks.Master of Science in Integrated Rural Development (2015 – 2016): Investigated the impact of agribusinesses on child labor in Cameroon, revealing insights into the dual responsibilities of farming and schooling among students.Master in Agribusiness Management (2013 – 2015): Analyzed the economic contribution of local alcoholic drinks to rural development, emphasizing environmental protection and community health.Bachelor’s Degree in Economics and Management (2007 – 2010): Equipped with strong quantitative techniques and policy assessment frameworks.

🎓 Personal Skills

Dr. Gildas possesses excellent communication skills, including active listening, sharing feedback, and adaptability. He has extensive teaching experience across various agricultural disciplines, fostering a conducive learning environment for students. His organizational and managerial skills encompass data collection, processing, and analysis, utilizing tools like Excel, SPSS, Stata, SAS, among others. Dr. Gildas is also proficient in qualitative data analysis and adept at applying machine learning and deep learning approaches to problem-solving with Python.

💼 Job-Related Skills

Teaching and Capacity BuildingProject Monitoring and EvaluationAgribusiness ManagementFarm and Harvest ManagementEnvironmental and Soil ManagementIntegrated Pest ManagementRural Development Advisory

💻 Digital Skills

Dr. Gildas demonstrates proficiency in information processing, communication, content creation, safety, and problem-solving in digital environments. He is adept at Microsoft platforms, Linux interfaces, text editing, Excel computing, PowerPoint presentations, and online meetings.🌟  Dr. Gildas has a basic understanding of artificial intelligence and is proficient in working with machine learning basic models like Random Forest, Support Vector Machine, and Logistic Regression.🌱 Dr. Gildas is dedicated to promoting sustainable agriculture practices for community development and environmental preservation. His passion lies in leveraging research and education to address pressing food security challenges while fostering environmental sustainability.

📖 Publications Top Note :

Economic dynamics of agri‐food supply chains at a macrolevel

Journal: World Food Policy

Date: 2024-05-22

DOI: 10.1002/wfp2.12067

Contributor: Ngueuleweu Tiwang Gildas

Correction: Do demographic structure conditions sector contribution to economic growth? A machine learning approach

Journal: Environment, Development and Sustainability

Date: 2024-02-06

DOI: 10.1007/s10668-023-04269-8

Contributors: Gildas Ngueuleweu Tiwang, Paul Ningaye, Dorothy Engwali Fon

A revisit of the natural resource curse in the tourism industry

Journal: Resources Policy

Date: 2024-01

DOI: 10.1016/j.resourpol.2023.104384

Contributors: Sylvain B. Ngassam, Simplice A. Asongu, Gildas Tiwang Ngueuleweu

Do demographic structure conditions sector contribution to economic growth? A machine learning approach

Journal: Environment, Development and Sustainability

Date: 2023-11-22

DOI: 10.1007/s10668-023-04147-3

Contributors: Ngueuleweu Tiwang Gildas, Ningaye Paul, Fon Dorothy Engwali