Dr. Xiuling Wang | Molecular biology | Best Researcher Award

Shandong University, China.

Dr. Xiuling Wang is a researcher at the State Key Laboratory of Microbial Technology, Shandong University. Her expertise lies in DNA editing technology, focusing on the mining, modification, and biosynthesis of microbial natural products. She completed her master’s and doctoral studies under Prof. Jun Fu at Shandong University, following her undergraduate research at Shandong Agricultural University under Prof. Binghai Du, where she investigated plant-rhizosphere growth-promoting bacteria.

📚 Education

Dr. Xiuling Wang holds a Ph.D. in Molecular Biology from Shandong University, where she further advanced her expertise in the biological sciences. She also earned a Master’s degree in Microbial Technology from Shandong University, deepening her understanding of the practical applications of microorganisms. Dr. Wang's academic journey began with a Bachelor's degree in Agricultural Sciences from Shandong Agricultural University, laying the foundation for her career in research. Her work focuses on the intersection of molecular biology, microbial technology, and agricultural sciences, contributing to advancements in these fields.

💼 Experience

Dr. Xiuling Wang is a dedicated researcher at the State Key Laboratory of Microbial Technology, Shandong University, where she explores cutting-edge advancements in microbial science. She is also actively involved in the National Key Research & Development Program of China (2018YFA0900400), contributing to innovative research initiatives aimed at addressing critical scientific and industrial challenges. Her expertise in molecular biology and microbial technology positions her at the forefront of groundbreaking developments in these fields.

📄 Publications

A recombineering system for Bacillus subtilis based on the native phage recombinase pair YqaJ/YqaK
Q. Liu, R. Li, H. Shi, Y. Zhang, J. Fu, X. Wang, Engineering Microbiology, 2023.

Genomics-Driven Discovery of Plantariitin A, a New Lipopeptide in Burkholderia plantarii DSM9509
Xiuling Wang, Zhuo Zhang, Jun Fu, Ruijuan Li
Molecules, 2025, 30(4), 868
DOI: 10.3390/molecules30040868

Assoc. Prof. Dr. Riccardo Sacco | Mathematical Modeling in Medicine | Best Researcher Award

Icahn School of Medicine at Mount Sinai Hospital New York, United States.

Riccardo Sacco is an Italian mathematician and engineer based in New York, USA. He is currently an Associate Scientist at the Icahn School of Medicine, Mount Sinai Hospital, with over two decades of expertise in numerical analysis, computational modeling, and applied mathematics. Riccardo has published extensively, mentoring numerous students and contributing significantly to research in ophthalmology and engineering applications.

Profile

Orcid

🎓 Education

Assoc. Prof. Dr. Riccardo Sacco is a distinguished academic and researcher with expertise in electronic engineering and applied mathematics. Holding a combined B.Sc./M.Sc. in Electronic Engineering from Politecnico di Milano (1989) and a Ph.D. in Applied Mathematics from Università degli Studi di Milano (1993), he has significantly contributed to the field through innovative research and teaching. Following his doctoral studies, Dr. Sacco pursued post-doctoral fellowships at CNR and Università degli Studi di Milano (1993–1995), further advancing his knowledge in applied mathematics. Currently, he serves as an Associate Professor, sharing his expertise and fostering the next generation of engineers and mathematicians.

💼 Experience

Assoc. Prof. Dr. Riccardo Sacco has built a remarkable academic and professional career, blending teaching, research, and global collaboration. Since 2024, he has served as an Associate Scientist at the Icahn School of Medicine, Mount Sinai Hospital in New York, USA, where he contributes to groundbreaking research in applied mathematics and computational methods. Prior to this role, he spent over two decades at Politecnico di Milano (PoliMi), serving as an Associate Professor of Numerical Analysis from 2001 to 2024, and earlier as an Assistant Professor in Numerical Analysis from 1995 to 2001.

Dr. Sacco’s academic journey is enriched by several international appointments as a Visiting Scientist, including at AT&T Bell Labs (1990), Georgia Tech (2003), Université de Strasbourg (2015), and North Carolina State University (2018). These experiences reflect his commitment to advancing numerical analysis and fostering global scientific collaboration.

🔬 Research Interests

Numerical Analysis and Computational Modeling: Application in engineering, medicine, and electronics

Ophthalmology: Modeling aqueous humor dynamics and intraocular pressure

Multi-physics and Multi-scale Problems: Nano-bio-electronics and semiconductor modeling

🏆 Awards and Honors

2010: Co-author of the Most Downloaded Article in Computer Methods in Applied Mechanics and Engineering

2001: Featured in Who’s Who in the World, 18th Edition

📚 Selected Publications

Reduced-Order Model for Cell Volume Homeostasis: Application to Aqueous Humor Production
Mathematical and Computational Applications
2025-01-24 | Journal Article
Contributors: Riccardo Sacco, Greta Chiaravalli, Giovanna Guidoboni, Anita Layton, Gal Antman, Keren Wood Shalem, Alice Verticchio, Brent Siesky, Alon Harris

Reduced-Order Model for Cell Volume Homeostasis: Application to Aqueous Humor Production
Preprint
2024-12-19
Contributors: Riccardo Sacco, Greta Chiaravalli, Giovanna Guidoboni, Anita Layton, Gal Antman, Keren Wood Shalem, Alice Verticchio, Brent Siesky, Alon Harris

The Role of Conventional and Unconventional Adaptive Routes in Lowering Intraocular Pressure: Theoretical Model and Simulation
Physics of Fluids
2023-06-01 | Journal Article
Contributors: Riccardo Sacco, Greta Chiaravalli, Gal Antman, Giovanna Guidoboni, Alice Verticchio, Brent Siesky, Alon Harris

Nanoparticle-Based Retinal Prostheses: The Effect of Shape and Size on Neuronal Coupling
Photonics
2022-09-29 | Journal Article
Contributors: Greta Chiaravalli, Guglielmo Lanzani, Riccardo Sacco

Corrections to “Cardiovascular Function and Ballistocardiogram: A Relationship Interpreted via Mathematical Modeling”
IEEE Transactions on Biomedical Engineering
2020-10 | Journal Article
Contributors: Giovanna Guidoboni, Lorenzo Sala, Moein Enayati, Riccardo Sacco, Marcela Szopos, James M. Keller, Mihail Popescu, Laurel Despins, Virginia H. Huxley, Marjorie Skubic

Dr. Xiuling Wang | Molecular biology | Best Researcher Award

Dr. Xiuling Wang | Molecular biology | Best Researcher Award

Profile

Scopus

📚 Education

💼 Experience

🔬 Research Interests

🏆 Awards & Achievements

📄 Publications