Juliana Sanchez | Nuclear Engineering | Best Researcher Award

Dr. Juliana Sanchez | Nuclear Engineering
| Best Researcher Award

Dr. Juliana Sanchez |  Federal University of Rio de Janeiro | Brazil

Dr. Juliana Sanchez, a Brazilian Nuclear Safety and Environmental Remediation specialist born in Rio de Janeiro, began her research career at the Federal University of Rio de Janeiro  in 2017 and has since built a strong academic and professional trajectory in nuclear engineering and safety methodologies. She is currently a Ph.D. student in Nuclear Engineering through a joint program between UFRJ and Porto University, holding a Master’s degree in Nuclear Engineering from the Institute of Nuclear Engineering at UFRJ. Her expertise spans nuclear safety analysis using MCNP Monte Carlo N-Particle and HotSpot Health Physics codes, radioactive dispersion modeling, dose assessment, and risk calculation in facilities handling radioactive materials. Dr. Sanchez is a researcher at the Process Monitoring Laboratory, COPPEAD UFRJ, and has international training in radiological safety, nuclear power plant safety practices, and research reactors from the Moscow Institute of Physical Engineering. Complementing her technical expertise, she earned MBAs in Complex Systems Modeling from Southern Federal University, Applied Projects in Civil Construction, and Construction Management, alongside her background as a Civil and Nuclear Engineer. Recognized globally, she was co-winner of the IAEA Student Travel Competition at ICEM 2023 in Germany and part of the winning team at Hackatom Brazil 2023, organized by IPEN, MEPhI, and ROSATOM. Her research record includes 4 citations by 4 documents  from 2 documents with an h-index of 1, and her publications are indexed in Scopus under ID 58766405500.

 Profile: Scopus | Linked IN

Featured Publication

Sanchez, J., dos Santos Nicolau, A., Pereira, C. M. N. A., & Marques Salgado, C. (2024). Methodology to calculate doses from gamma-emitting plumes using MCNP6 Monte Carlo N-particle and HotSpot codes. Nuclear Engineering & Design.

Fengna Tang | Nuclear | Best Researcher Award

Ms. Fengna Tang | Nuclear | Best Researcher Award

Engineer at China Nuclear Power Engineering Co.Ltd, China.

Fengna Tang is an accomplished engineer in the field of 🔬 nuclear chemical instrumentation and control. She earned her 🎓 Master’s in Control Science and Engineering from Beijing University of Chemical Technology in 2018. Currently, she works at 🏢 China Nuclear Power Engineering Co. Ltd. and the Institute of Nuclear Chemical Instrumentation and Control. Her work includes developing and implementing advanced detection and control systems 🔧 in nuclear environments. She has actively contributed to 🔗 multiple national-level projects, enhancing nuclear safety, precision, and efficiency. Her blend of technical skills, research insight, and innovation in a high-stakes field underscores her status as a rising leader 🌟 in nuclear engineering and control systems.

🌍 Professional Profile:

Scopus

🏆 Suitability for the Best Researcher Award :

Fengna Tang is a standout candidate for the 🏆 Best Researcher Award, recognized for her pioneering work in 🔐 nuclear safety and instrumentation. She plays a vital role in multiple 🇨🇳 national-level projects, integrating research and application in the high-impact field of nuclear chemical control ⚛️. Her engineering expertise improves reliability and safety across critical systems, fulfilling national energy and security needs. By combining strong academic credentials 📘 with real-world project experience 🔍, she demonstrates innovation, scientific rigor, and a commitment to excellence. Her contributions directly impact energy sustainability, automation, and nuclear reliability, making her an ideal choice for this prestigious recognition 🌐.

🎓 Education :

📚 Fengna Tang completed her Master’s degree in Control Science and Engineering at 🎓 Beijing University of Chemical Technology in 2018. Her studies focused on automation, process modeling, and system design 🧠, laying a strong theoretical foundation for her career in nuclear instrumentation. She gained deep knowledge of control algorithms, real-time feedback systems, and hardware integration 🛠️. The comprehensive nature of her education enabled her to transition seamlessly into the research-intensive and high-precision field of nuclear engineering ⚙️. With a firm academic background in system reliability and control logic, Fengna is well-prepared for challenges in designing and enhancing safety mechanisms for nuclear facilities 🧪.

🏢 Work Experience :

🔧 Fengna Tang works as an engineer at 🏭 China Nuclear Power Engineering Co. Ltd. and the Institute of Nuclear Chemical Instrumentation and Control. Her experience includes designing, testing, and implementing advanced control systems and detection technologies 📊 for nuclear chemical environments. She has been involved in the successful execution of several national-level projects 🇨🇳, where she played a critical role in process automation, safety logic development, and instrumentation reliability. Her hands-on expertise spans system diagnostics, control software optimization, and engineering compliance in a sensitive, high-risk domain ⚠️. Fengna’s work directly enhances operational performance and environmental safety, demonstrating her ability to translate research into impactful applications 💡.

🔬 Research Focus :

⚛️ Fengna Tang’s research is centered on detection and control systems in nuclear chemical engineering. She works on designing and enhancing automated monitoring and safety systems that operate in radioactive and high-risk chemical environments 🔍. Her focus includes real-time instrumentation, signal reliability, and feedback loop optimization for increased process safety 🧠. She leverages modern control strategies and detection tech to minimize risks and support efficient nuclear operations 🚦. Her technical knowledge is also applied to software and hardware integration for control system reliability 🖥️. Fengna’s work ensures safe operations while pushing forward nuclear technology innovation, aligning with both national strategic goals and global energy sustainability 🌍.

📊 Publication Top Notes:

Title: Integrating economic model predictive control and event-triggered control: Application to bi-hormonal artificial pancreas system

 Year: 2019

Journal: IEEE Access

Cited by: 5

Focus: Predictive Control, Biomedical Systems, Artificial Pancreas

Title:  Study on the Method of Measuring the Interface of Radioactive Liquids

Year: 2025

Journal: Nuclear Chemical Instruments & Control

Focus: radioactive-liquid interface detection & measurement method.