Prof. Jolanta Dorszewska | Neurobiology | Best Researcher Award

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Prof. Jolanta Dorszewska | Neurobiology | Best Researcher Award

Poznan University of Medical Sciences, Poland.

Professor Jolanta Dorszewska is a distinguished neuroscientist and full professor at the Laboratory of Neurobiology, Department of Neurology, Poznan University of Medical Sciences, Poland. With over three decades of research and academic leadership, she has made pioneering contributions to the understanding of neurodegenerative diseases, including Alzheimer’s and Parkinson’s diseases. As the head of her department since 2004, she continues to inspire innovation in molecular neurobiology, epigenetics, and neurochemistry.

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🎓 Education

Prof. Dorszewska’s academic journey began at the Faculty of Pharmacy, Poznan University of Medical Sciences, where she earned her MSc in Pharmacy (1987) with distinction. She continued her academic growth with a PhD (1996) in medical sciences and attained postdoctoral habilitation (2004). She became a Full Professor in 2016, after rigorous training and board certifications in pharmaceutical analytics and medical genetics.

💼 Professional Experience

Her professional path is deeply rooted in neuroscience and pharmacology. She served as an assistant in the Departments of Pharmacy and Clinical Neurochemistry before becoming a Research Associate and later the Head of the Laboratory of Neurobiology. Internationally, she gained experience as a Research Scientist in New York (1999-2000). She has also taught extensively, including at the National High Medical School in Piła.

🔬 Research Interests

Prof. Dorszewska’s research covers a rich spectrum—from analyzing lipid and sterol levels in hypoxia to the genetic and molecular pathways of neurodegeneration. Her work involves advanced techniques like HPLC, ELISA, Western Blot, PCR, and focuses on biomarkers, genetic polymorphisms, miRNAs, and apoptosis in diseases such as Alzheimer’s, Parkinson’s, epilepsy, and migraine. She is especially known for studies on homocysteine metabolism and catecholamine gene mutations.

🏆 Awards & Recognition

She has earned numerous accolades and holds editorial and leadership roles in prestigious journals including Frontiers in Molecular Neuroscience, Journal of Integrative Neuroscience, and Current Alzheimer Research. As a Guest Editor for six major neuroscience journals and a member of international neurological associations, her global contributions to science are widely respected. She was also an Honorary Member of the 12th CONy World Congress (2018).

📚 Selected Publications

🧬 Genetics and Parkinson's Disease

Title: Genetic variants of ZNF746 and the level of plasma Parkin, PINK1, and ZNF746 proteins in patients with Parkinson's disease
Journal: IBRO Neuroscience Reports
Date: June 2025
DOI: 10.1016/j.ibneur.2025.01.016
Authors: Jolanta Dorszewska et al.
🔬 Focus: Investigates the role of ZNF746 gene variants and related proteins in the pathophysiology of Parkinson’s disease.

🧠 Neurorehabilitation and Multiple Sclerosis

Title: Kinesiotherapeutic Possibilities and Molecular Parameters in Multiple Sclerosis
Journal: Sclerosis
Date: April 3, 2025
DOI: 10.3390/sclerosis3020013
Authors: Katarzyna Wiszniewska et al., including Jolanta Dorszewska
🧘‍♀️ Focus: Explores physical therapy interventions and their molecular impacts in MS patients.

🦠 Parasitic Infections and Proteinopathies

Title: Unraveling the Role of Proteinopathies in Parasitic Infections
Journal: Biomedicines
Date: March 3, 2025
DOI: 10.3390/biomedicines13030610
Authors: Mikołaj Hurła et al., including Jolanta Dorszewska
🧫 Focus: Connects neurodegenerative proteinopathies with parasitic infection mechanisms.

🧪 Neuropharmacology and Aging

Title: Expression of Neuronal Nicotinic Acetylcholine Receptor and Early Oxidative DNA Damage in Aging Rat Brain—The Effects of Memantine
Journal: International Journal of Molecular Sciences
Date: February 14, 2025
DOI: 10.3390/ijms26041634
Authors: Małgorzata Anna Lewandowska et al., including Jolanta Dorszewska
🧠 Focus: Studies the impact of Memantine on aging-related neurochemical changes.

🧠 Brain Imaging and Migraine

Title: fMRI Insights into Visual Cortex Dysfunction as a Biomarker for Migraine with Aura
Journal: Neurology International
Date: January 21, 2025
DOI: 10.3390/neurolint17020015
Authors: Damian Pikor et al., including Jolanta Dorszewska
🧲 Focus: Uses fMRI to explore visual cortex abnormalities in migraine with aura.

 

 

 

Dr. Xiuling Wang | Molecular biology | Best Researcher Award

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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.

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📚 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.

🔬 Research Interests

Molecular Biology

DNA Editing & Recombinant Systems

Microbial Natural Product Biosynthesis

Silent Gene Cluster Activation

🏆 Awards & Achievements

Principal Investigator in a National Key Research & Development Program of China

Two China Invention Patents (Application No: 202411054594.4 & CN202411058039.9)

Discovered a novel lipopeptide (Plantariitin A) with anti-inflammatory properties

📄 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

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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.

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🎓 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

 

 

 

Prof. Wen Jiang | Artificial Intelligence | Best Researcher Award

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Prof. Wen Jiang | Artificial Intelligence | Best Researcher Award

Northwestern Polytechnical University, China.

Prof. Wen Jiang is a distinguished researcher and academic with a Ph.D. from Northwestern Polytechnical University, Xi’an, China (2009). She currently serves as a professor in the School of Electronics and Information at Northwestern Polytechnical University. Her work focuses on cutting-edge areas like information fusion, artificial intelligence, remote sensing image processing, and intelligent algorithm security, making her a leader in her field.

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Education 🎓

Prof. Wen Jiang has an impressive academic background in information systems and engineering. She earned her Ph.D. in Information Systems from Northwestern Polytechnical University, Xi’an, China, in 2009, where her research focused on innovative data systems and intelligent technologies. Prior to that, she completed her Master’s degree in Information Engineering at Information Engineering University, Zhengzhou, China, in 1997, gaining in-depth knowledge of advanced engineering concepts. She began her academic journey with a Bachelor’s degree in Information Engineering from the same university in 1994, building a strong foundation for her pioneering contributions to the field.

Experience 🏫

Prof. Wen Jiang is a Professor at the School of Electronics and Information, Northwestern Polytechnical University, where she has made a significant impact in academia. She is highly regarded for mentoring aspiring researchers and leading innovative projects in advanced technologies. Her leadership and expertise have been instrumental in driving forward research in areas like artificial intelligence, information fusion, and algorithm security..

Research Interests 🔍

Information Fusion:
Integrating data from diverse sources to enable smarter and more efficient decision-making processes, crucial for applications in defense, healthcare, and industry.

Artificial Intelligence:
Advancing machine learning and intelligent systems to solve complex problems and enhance automation across various domains.

Remote Sensing Image Processing:
Developing cutting-edge tools for environmental monitoring, urban planning, disaster management, and mapping applications.

Intelligent Algorithm Security:
Ensuring the robustness, reliability, and safety of AI-driven solutions to address vulnerabilities in critical systems.

Publications Top Notes 📚

A New Data Augmentation Method Based on Mixup and Dempster-Shafer Theory IEEE Transactions on Multimedia, 2024
Contributors: Zhuo Zhang, Hongfei Wang, Jie Geng, Xinyang Deng, Wen Jiang. Link

A Novel Air Target Intention Recognition Method Based on Sample Reweighting and Attention-Bi-GRU IEEE Systems Journal, 2024
Contributors: Yu Zhang, Weichen Ma, Fanghui Huang, Xinyang Deng, Wen Jiang. Link

Causal Intervention and Parameter-Free Reasoning for Few-Shot SAR Target Recognition IEEE Transactions on Circuits and Systems for Video Technology, 2024, Contributors: Jie Geng, Weichen Ma, Wen Jiang. Link

CMSE: Cross-Modal Semantic Enhancement Network for Classification of Hyperspectral and LiDAR Data IEEE Transactions on Geoscience and Remote Sensing, 2024, Contributors: Wenqi Han, Wang Miao, Jie Geng, Wen Jiang. Link

Dual-Path Feature Aware Network for Remote Sensing Image Semantic Segmentation IEEE Transactions on Circuits and Systems for Video Technology, 2024, Contributors: Jie Geng, Shuai Song, Wen Jiang. Link