Wang Juan | Bioengineering | Best Researcher Award

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Prof. Wang Juan | Bioengineering | Best Researcher Award

Prof. Wang Juan | Bioengineering | China University of Petroleum | China

Prof. Wang Juan is a highly respected academic and researcher in the field of bioprocess control and optimization, with a particular focus on fermentation systems and multi-objective decision-making under uncertainty. He is recognized for bridging theoretical control models with industrial-scale applications, ensuring that his research delivers both scientific advancements and practical impact. Through his work, he has contributed to the development of innovative solutions that enhance the efficiency, sustainability, and reliability of biotechnological processes. His contributions have been widely acknowledged in the international research community, with publications in leading journals and collaborations with distinguished scholars across multiple countries.

Academic Profile:

ORCID

Scopus

Education:

Prof. Wang Juan earned his doctoral degree in Process Control Engineering, building a strong foundation in systems modeling, advanced optimization algorithms, and process engineering principles. His academic training combined rigorous theoretical coursework with applied research, enabling him to address complex engineering problems through innovative control strategies. During his postgraduate and doctoral studies, he developed specialized expertise in mathematical modeling of fermentation processes and the application of optimization frameworks to real-world bioprocessing challenges. His education has equipped him with the technical knowledge and research skills to pursue pioneering work in the field of process control.

Experience:

Prof. Wang Juan has extensive academic and research experience, holding positions that involve both teaching and conducting cutting-edge research. He has participated in high-impact projects involving multi-institutional and international collaborations, working closely with interdisciplinary teams to design and optimize advanced fermentation processes. His work often involves applying bilevel optimization, distributionally robust control, and state-dependent modeling techniques to industrial biotechnology problems. Beyond research, he has played an active role in mentoring graduate students, guiding them in their academic and professional development, and fostering a collaborative learning environment. He is also engaged in peer-review activities for high-ranking international journals, contributing to the advancement of quality research in his field.

Research Interest:

His research interests center on the modeling, optimization, and control of complex bioprocess systems, with particular emphasis on fermentation technology. He is passionate about integrating control theory with real-time industrial process applications, developing algorithms that can handle uncertainty, variability, and system sensitivity. His work addresses critical challenges in scaling laboratory research to industrial production, aiming to improve yields, reduce energy consumption, and minimize environmental impact. Additionally, he is interested in multi-objective optimization frameworks that balance performance, cost, and sustainability in process engineering.

Awards:

Prof. Wang Juan has been recognized for his contributions to the field of process control and bioprocess optimization through academic awards and research honors. These acknowledgments reflect his commitment to excellence, innovation, and the practical application of scientific research. His achievements have earned him a strong reputation in the academic community, and his work continues to receive attention from both industry professionals and fellow researchers.

Selected Publications:

  • A bilevel approach to biobjective inverse optimal control of nonlinear fermentation system with uncertainties – 2025 – 15 citations

  • Modeling and multi-objective optimal state-dependent control of a continuous double-bioreactor in series fermentation – 2025 – 10 citations

  • Process optimization of microbial fermentation with parameter uncertainties via distributionally robust discrete control – 2023 – 18 citations

  • Multi-objective optimal control of bioconversion process considering system sensitivity and control variation – 2022 – 12 citations

Conclusion:

Prof. Wang Juan’s academic career is distinguished by his commitment to advancing the science and practice of bioprocess control. His innovative research has addressed fundamental and applied challenges in fermentation technology, offering solutions that improve both productivity and sustainability in industrial biotechnology. With a strong publication record, recognized awards, and active engagement in global research collaborations, he has established himself as a leader in his field. His dedication to mentoring, peer-review service, and professional development further reflects his role as an influential figure in the academic and scientific community. Looking forward, Prof. Wang Juan is poised to expand his research impact through broader international collaborations, higher-tier journal publications, and increased leadership roles within the global scientific network, making him an exemplary nominee for the Best Researcher Award.

 

 

Assoc. Prof. Dr. Yiben Fu | Biological Sciences | Best Researcher Award

Published on by Awards and Recognitions

Assoc. Prof. Dr. Yiben Fu | Biological Sciences | Best Researcher Award

Assoc. Prof. Dr. Yiben Fu | Biological Sciences – Associate professor at South China University of Technology, China

Dr. Yiben Fu is an accomplished researcher in biophysics and soft matter physics, specializing in protein-membrane interactions and molecular motor dynamics. With an extensive academic background and a commitment to scientific advancement, Dr. Fu has contributed significantly to theoretical and computational modeling in the field. His research has been widely recognized for its impact on biomedical sciences, earning him multiple awards and research grants. His innovative work continues to influence the understanding of biomolecular processes and their applications in medical and technological advancements.

Profile:

Orcid | Scopus

Education:

Dr. Fu earned his Ph.D. in Soft Matter Physics from the Institute of Physics, Chinese Academy of Sciences, Beijing, where he conducted pioneering research on the dynamic mechanisms of molecular motors. Prior to this, he completed his Bachelor’s degree in Applied Physics at Xi’an Jiaotong University, where he was part of the prestigious Physics Elite Class. His academic journey laid the foundation for his expertise in biophysics, equipping him with the necessary knowledge and skills to contribute to cutting-edge research.

Experience:

Dr. Fu’s professional career spans over a decade, beginning with his postdoctoral research at the Department of Biophysics, Johns Hopkins University. His postdoctoral work, under the guidance of distinguished mentors, involved advanced computational simulations and theoretical modeling of protein interactions. Currently, he serves as an Associate Professor at the School of Biomedical Sciences and Technology, South China University of Technology. His leadership in academia and research has helped train aspiring scientists and foster interdisciplinary collaborations.

Research Interest:

Dr. Fu’s research primarily focuses on the mechanics of protein-membrane interactions, cooperative cargo transport mechanisms, and reaction-diffusion modeling. His work integrates theoretical physics, computational modeling, and biological sciences to uncover the principles governing biomolecular behavior. He is particularly interested in developing predictive models that aid in understanding the complexities of cellular dynamics, which have potential applications in drug development and disease treatment.

Awards:

Dr. Fu has been the recipient of several prestigious awards that recognize his excellence in research and academia. Notable accolades include the National Scholarship for Graduate Students and the Director Scholarship from the Institute of Physics, Chinese Academy of Sciences. These honors underscore his dedication to advancing scientific knowledge and his outstanding contributions to the field of biophysics.

Publications:

Dr. Fu has authored several influential research papers in high-impact journals. Below are seven notable publications, along with their respective journal names and citation details:

  • 🧬 Optimal numbers of residues in linkers of DNA polymerase I, T7 primase and DNA polymerase IV, Scientific Reports (2016) – Cited by 50+ articles.
  • 🔬 Involvement of G-triplex and G-hairpin in the multi-pathway folding of human telomeric G-quadruplex, Nucleic Acids Research (2017) – Cited by 80+ articles.
  • 🏗 Dynamics of cooperative cargo transport by two elastically coupled Kinesin-1 motors, The European Physical Journal E (2019) – Cited by 30+ articles.
  • 💡 An implicit lipid model for efficient reaction-diffusion simulations of protein binding to surfaces of arbitrary topology, Journal of Chemical Physics (2019) – Cited by 40+ articles.
  • 🏆 NERDSS: a non-equilibrium simulator for multibody self-assembly at the cellular scale, Biophysical Journal (2020) – Cited by 45+ articles.
  • 🧪 A continuum membrane model can predict curvature sensing by helix insertion, Soft Matter (2021) – Cited by 35+ articles.
  • 🔍 Modeling membrane reshaping driven by dynamic protein assemblies, Current Opinion in Structural Biology (2023) – Cited by 20+ articles.

Conclusion:

Dr. Yiben Fu’s research contributions, combined with his academic leadership and dedication to advancing biophysical sciences, make him a highly deserving candidate for the “Best Researcher Award.” His work has not only enhanced our understanding of molecular interactions but has also paved the way for future innovations in biomedical research. With a strong publication record, significant funding support, and a passion for mentoring young scientists, Dr. Fu continues to make remarkable strides in his field. Recognizing his achievements through this award would serve as a testament to his invaluable contributions to science and academia.