Rosalia Ferraro | Chemical Engineering | Innovative Research Award

Innovative Research Award

Rosalia Ferraro
Università degli Studi di Napoli Federico II, Italy

Rosalia Ferraro
Affiliation Università degli Studi di Napoli Federico II
Country Italy
Scopus ID 57219198711
Documents 20
Citations 238
h-index 9
Subject Area Chemical Engineering
Event Global Cad Awards

Rosalia Ferraro is recognized for research contributions in soft matter physics, rheological characterization, cancer biomechanics, colloidal systems, drug delivery technologies, and computational biomedical modeling. Her work bridges fundamental physical sciences with biomedical and industrial applications.[1]

Abstract

This article summarizes the academic profile and research achievements of Dr. Rosalia Ferraro in soft matter physics, rheology, biomechanics, biomedical engineering, and computational modeling. Her interdisciplinary investigations contribute to understanding complex fluids, cellular mechanics, cancer biomechanics, and advanced therapeutic systems.[2]

Keywords

Soft Matter Physics, Rheology, Cancer Biomechanics, Cell Spheroids, Drug Delivery Systems, Complex Fluids, Biomedical Engineering, Computational Modeling.

Introduction

Modern soft matter research plays a central role in healthcare technologies, materials science, and industrial innovation. Understanding rheological behavior and biomechanical responses enables advances in diagnostics, therapeutics, and functional materials.[3]

Research Profile

Ferraro’s research portfolio encompasses rheological characterization of complex fluids, soft matter systems, cancer biomechanics, cellular mechanics, and biomedical engineering applications. Her work demonstrates strong interdisciplinary integration across physics, engineering, and life sciences.[1]

Research Contributions

  • Rheological characterization of soft matter and surfactant systems.
  • Cancer biomechanics and tumor spheroid modeling.
  • Cellular morphology studies under shear flow conditions.
  • Advanced drug delivery system development.
  • Computational and experimental approaches to biomedical mechanics.

Publications

  • The Dilemma of Cancer Biomechanics Assessment: Living Soft Matter from a Rheological Perspective (2026)..[4]
  • Quantifying Invasive Potential in Cell Spheroids via Shear-Induced Erosion and Tomographic Shape Reconstruction (2026).
  • The Morphology of Cell Spheroids in Simple Shear Flow (2024)..[5]
  • Designing Advanced Drug Delivery Systems Through Electro-Fluid Dynamic Atomization (2024).
  • Hybrid Cellular Automata Modeling Reveals the Effects of Glucose Gradients on Tumour Spheroid Growth (2023).

Research Impact

The scientific contributions of Dr. Ferraro have strengthened understanding of complex fluid behavior, cancer cell mechanics, rheological methodologies, and translational biomedical technologies. Her publications demonstrate relevance to both fundamental science and applied innovation.[2]

Award Suitability

The interdisciplinary scope of Dr. Ferraro’s research, together with her contributions to rheology, biomechanics, biomedical engineering, and soft matter science, aligns strongly with the objectives of a Research Excellence Award recognizing innovation and scientific impact.[3]

Conclusion

Through sustained contributions to soft matter physics, rheology, cancer biomechanics, and biomedical technologies, Dr. Rosalia Ferraro has established a distinguished research profile characterized by interdisciplinary collaboration, scientific rigor, and translational relevance.[1]

References

    1. Google Scholar. (2026). Rosalia Ferraro – Scholarly Publications and Citation Profile. 

      https://scholar.google.com/citations?user=NWl2lKIAAAAJ&hl=en&oi=sra

    2. Scopus Profile  Rosalia Ferraro – Scholarly Publications and Citation Profile. 

      https://www.scopus.com/authid/detail.uri?authorId=57219198711

    3. Orcid. Rosalia Ferraro – Scholarly Publications and Citation Profile. 

      https://orcid.org/0000-0003-1443-4160

    4. Ferraro, R. et al. (2026). The Dilemma of Cancer Biomechanics Assessment: Living Soft Matter from a Rheological Perspective. 

      https://www.sciencedirect.com/science/article/pii/S2590006426001316

    5. Ferraro, R. et al. (2024). The Morphology of Cell Spheroids in Simple Shear Flow. 

      https://www.frontiersin.org/journals/physics/articles/10.3389/fphy.2024.1347934/full

Posen Lee | Quantitative Movement Analysis | Best Researcher Award

Prof. Posen Lee | Quantitative Movement Analysis | Best Researcher Award

Professor | I-Shou University | Taiwan

Prof. Posen Lee is a distinguished professor of occupational therapy known for his contributions to psychiatric rehabilitation, community mental health, psychometric assessment, and technology-enhanced intervention. His academic and clinical background forms the foundation of his work in developing client-centered occupational therapy frameworks and advancing assessment standards, including an OSCE tailored for psychiatric practice. He holds advanced degrees in occupational therapy and special education, supporting his long-standing commitment to evidence-based teaching and interdisciplinary innovation. His experience spans extensive university-level teaching and service, along with impactful clinical roles across major medical and psychiatric institutions, where he strengthened patient-centered rehabilitation approaches. His research integrates psychometrics, artificial intelligence, quantitative motion analysis, and rehabilitation technology, with publications in leading peer-reviewed journals across occupational therapy, mental health, and biomedical engineering. He has secured multiple competitive research grants for projects in psychiatric education and AI-supported assessment and has contributed to influential academic textbooks that have elevated national occupational therapy training standards.

Profile: Scopus

Featured Publications

Lee, P. “AI-Based Gait Assessment in Older Adults.” Biosensors. — Cited by 18.

Lee, P. “Motion Analysis for Schizophrenia Using Deep Learning.” Sensors. — Cited by 25.

Lee, P. “Psychometric Validation of a Schizophrenia Functional Scale.” Asian Journal of Psychiatry. — Cited by 14.

Lee, P. “Quantitative Balance Evaluation in Psychiatric Disorders.” Bioengineering. — Cited by 10.

Lee, P. “Clinical Utility of OT-Based Communication OSCE.” Journal of Occupational Therapy Education. — Cited by 8.