Zhenyu wang | Experimental Design | Best Research Article Award

Mr. Zhenyu wang | Experimental Design | Best Research Article Award

PhD Student | State Key Laboratory of Chemistry for NBC Hazards Protection | China

Zhenyu Wang is a dedicated PhD student at the State Key Laboratory of Chemistry for NBC Hazards Protection, specializing in radiation measurement, detector design, and cosmic ray muon imaging. His research contributions include the development of a spatio-temporal Poisson Kriging algorithm for nuclear radiation field reconstruction and the creation of advanced muon imaging detectors. With four publications in reputable SCI-indexed journals and two patents under application, his work bridges theoretical innovation with practical applications in nuclear safety and radiation monitoring. His research demonstrates strong potential for impact in both academic and applied scientific domains, making him a promising candidate for the Best Research Article Award.

Professional Profile 

Education  

Zhenyu Wang is currently pursuing his doctoral studies at the State Key Laboratory of Chemistry for NBC Hazards Protection, where he is engaged in advanced research on radiation detection technologies and radiation field modeling. His academic training has provided a strong foundation in nuclear science, physics, and engineering principles, which he has applied to develop innovative solutions in radiation measurement and imaging. Through his PhD program, he has gained extensive experience in experimental design, simulation modeling, and interdisciplinary collaboration, positioning him as a skilled and forward-thinking researcher in his field.

Professional Experience

Zhenyu Wang has gained valuable professional experience through his ongoing doctoral research at the State Key Laboratory of Chemistry for NBC Hazards Protection. His work focuses on the development and optimization of radiation detectors, including plastic scintillator arrays for muon tomography and gamma detectors enhanced with wavelength-shifting fibers. He has led and contributed to key research projects involving performance simulations, algorithm development, and detector testing. In addition, he has co-authored multiple peer-reviewed articles and contributed to patent applications, demonstrating both scientific rigor and innovation. His professional experience reflects a strong integration of theoretical research and practical application in radiation detection and nuclear safety technologies.

Research Interest

Zhenyu Wang’s research interests lie at the intersection of radiation detection, nuclear safety, and advanced computational modeling. He focuses on developing high-performance radiation detectors, such as plastic scintillator-based muon tomography systems and gamma detectors integrated with wavelength-shifting fibers. A key area of his work involves radiation field reconstruction using novel algorithms, including the spatio-temporal Poisson Kriging method, which captures both spatial and temporal dynamics of radiation fields. He is also deeply interested in cosmic ray muon imaging, leveraging its unique properties for non-invasive detection and security applications. His research aims to advance both the scientific understanding and practical effectiveness of radiation monitoring technologies.

Award and Honor

While currently pursuing his PhD, Zhenyu Wang has already achieved notable recognition through his contributions to high-impact research and innovation. His work has led to the publication of multiple papers in esteemed SCI-indexed journals and the application for two patents, reflecting both academic excellence and inventive capability. His selection for participation in major research projects at the State Key Laboratory of Chemistry for NBC Hazards Protection further highlights his standing as a promising young researcher. Though formal awards and honors are not explicitly listed, his growing publication record, technical innovations, and leadership in cutting-edge research position him as a strong candidate for future academic and professional accolades.

Publications Top Noted

Title: Composition, structure and position resolution optimization of plastic scintillator units and arrays for a muon tomography detector
Year: 2025

Title: Performance simulation of an all-solid-state neutron detector based on stilbene and 6Li glass composite
Year: 2025

Title: Optimized design of gamma detectors based on scintillator and wavelength-shifting fiber for arrayed radiation portal monitors
Year: 2025
Citation: 1 citation

Title: The Influence of Mg Doping in α-Al₂O₃ Crystals Investigated with First-Principles Calculations and Experiment
Year: 2025
Citation: 1 citation

Conclusion

Zhenyu Wang is a strong contender for the Best Research Article Award. His work demonstrates technical depth, innovation, and applied relevance, particularly in nuclear radiation field reconstruction and cosmic muon detection. To maximize the strength of the application, it is recommended

Belmiro Duarte | Experimental Design | Best Researcher Award

Belmiro Duarte | Experimental Design | Best Researcher Award

Prof. Dr Belmiro Duarte, Belmiro Duarte, Portugal

Prof. Dr. Belmiro P.M. Duarte is a distinguished Coordinator Professor at the Coimbra Institute of Engineering, Polytechnic Institute of Coimbra, specializing in Chemical Engineering, Process Design, and Modeling. With a strong foundation in Process Dynamics & Control, Clinical Trials Design, and Optimization, he integrates phenomenological and data-driven modeling into engineering solutions. An integrated researcher at INESC Coimbra, he has significantly contributed to product and process innovation. His academic excellence is reflected in 75+ peer-reviewed publications, 30+ conference contributions, and 9 course books. Over the years, he has combined teaching, research, and consultancy, providing expert guidance in chemical industries and R&D initiatives. His leadership in EC-funded projects and industrial consultancy has driven advancements in process optimization and experimental design. With a Habilitation in Chemical Engineering, Ph.D., and M.Sc., he continues to shape the future of chemical and industrial engineering. 🌟🔬

Publication Profile

Orcid

Education

Prof. Dr. Belmiro P.M. Duarte holds a Habilitation in Chemical Engineering from NOVA School of Engineering (2024), where he delivered a lecture on Model-Based Optimal Design of Experiments with applications in Chemical Engineering and Clinical Trial Design. He earned his Ph.D. in Chemical Engineering from the University of Coimbra (1995), focusing on Moving Finite Elements for solving PDAEs and moving front models. His M.Sc. in Information Management from the University of Coimbra (1998) explored Expected Utility in Decision-Making, particularly in biomass management for the pulp and paper industry. He completed his Graduation in Chemical Engineering at the University of Coimbra (1991) and a Baccalaureate in Chemical Engineering from Coimbra Institute of Engineering (1989). With deep expertise in process modeling, optimization, and quality management, Prof. Duarte’s academic journey has laid a strong foundation for his impactful contributions to both research and industry. 🎓🔬

Experience

Prof. Dr. Belmiro P.M. Duarte has been a Professor at the Coimbra Institute of Engineering, Polytechnic Institute of Coimbra, since 1996, where he teaches Chemical and Industrial Engineering courses, specializing in Process and Product Design, Quality Management, and Process Modeling. His industrial experience includes serving as a Product Design Consultant at Bondalti Chemistry (2022–2023), where he analyzed the market potential for CMC and synthesized technical information. As a Process Design Consultant for Specialty Minerals, Inc. (2002), he evaluated the feasibility of continuous PCC production and implemented SPC procedures. His role as an R&D Consultant at Companhia de Celulose do Caima, S.A. (1997) involved assessing the pulp market potential and providing technical process support. Previously, as Head of the R&D Department at the same company (1996–1997), he managed EC-funded research projects and led research execution. His combined academic and industrial expertise bridges theoretical knowledge with practical applications, fostering process innovation and optimization. 🔍⚛️

Awards & Honors

Prof. Dr. Belmiro P.M. Duarte is a distinguished nominee for the Best Researcher Award, recognized for his outstanding contributions to Chemical Engineering and Process Design. With over 75 peer-reviewed publications and nine authored course books, his research has significantly impacted both academia and industry. As a long-standing faculty member at the Coimbra Institute of Engineering since 1996, he has played a pivotal role in shaping engineering education and research. Currently an Integrated Researcher at INESC Coimbra (2024–Present), he advances systems engineering and computational modeling. His expertise is further demonstrated through keynote presentations and contributions to over 30 international conferences. Additionally, as a leader in EC-funded research projects, he has pioneered innovative methodologies in process modeling and optimization. Prof. Duarte’s dedication to research excellence, education, and industry-driven innovation solidifies his position as a strong contender for the Best Researcher Award.

Research Focus

Prof. Dr. Belmiro Duarte’s research encompasses Chemical Engineering, Process Dynamics & Control, Product & Process Design, and Clinical Trials Optimization. His expertise in phenomenological and data-driven modeling, simulation, and optimization is applied across industrial and clinical settings. A key focus of his work is the integration of Model-Based Optimal Design of Experiments (MBoDE) to optimize chemical processes, pharmaceuticals, and clinical trials. He has also pioneered Process Analytical Technology (PAT) methods to enhance quality control and manufacturing efficiency. His contributions to Moving Finite Element Methods (MFEM) provide advanced solutions for partial differential-algebraic equations (PDAEs) and moving front models. With a strong emphasis on industrial process efficiency, sustainable engineering solutions, and experimental design methodologies, his cross-disciplinary research continues to drive innovation, benefiting both academia and industry. 🏭🔬

Publication Top Notes