C.N.R., National Research Council - Italy
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🎓 Early Academic Pursuits
Dr. Giuliana Ramella began her academic journey at the University of Naples “Federico II,” Italy, where she earned a Laurea degree in Physics, specializing in Cybernetics, in 1990. During the early stages of her career, she was awarded a fellowship from the Italian National Research Council (CNR) to work at the Institute of Cybernetics “E. Caianiello” (CNR-ICIB), which laid the foundation for her expertise in the interdisciplinary fields of image processing, pattern recognition, and computer vision. Her involvement in various international and national scientific schools further refined her research focus, including notable participation in schools related to Biophysics, Neurosciences, and Vision studies.
💼 Professional Endeavors
Dr. Ramella's professional endeavors have been marked by a commitment to both research and education. Since 1994, she has served as a research scientist at CNR, where she has contributed to significant advancements in the areas of Image Processing and Pattern Recognition. She has been a contract professor at various institutions, including the University of Campania “Luigi Vanvitelli” and the University of Naples “Federico II”, teaching and mentoring students in Computer Science. Furthermore, Dr. Ramella's professional trajectory includes an international research experience as a Visiting Researcher at the Sino-French Laboratory in Beijing, China, in 2006.
🔬 Contributions and Research Focus
Dr. Ramella's research focus revolves around the intersection of vision and computational methods. She has made notable contributions to Image Processing, Pattern Recognition, and Computer Vision, areas that align with her interest in understanding and improving vision technologies. Her work addresses critical challenges in automated image recognition and processing, enabling advancements in various fields such as medical imaging, remote sensing, and robotics. In addition, she has actively participated in multiple national and international research projects, both as a coordinator and as a key contributor. Her involvement in these projects highlights her commitment to advancing vision and related technologies on a global scale.
🌍 Impact and Influence
Dr. Giuliana Ramella’s impact on the academic and scientific communities is profound. She has been a frequent evaluator for research projects in Italy and internationally, including for the Ministry of Economic Development (MiSE) of Italy and the Eurostars Programme of EUREKA. Her role as an associate editor for the IET Image Processing journal and as a co-editor for various special issues further demonstrates her influence in the fields of Image Processing and vision. Additionally, Dr. Ramella has received multiple service recognition awards for her contributions to scientific journals and conferences, underscoring her long-lasting impact on the research community.
🏆Academic Cites
Dr. Ramella's academic work, particularly in Image Processing and vision, is widely cited by researchers and practitioners in related fields. Her innovative research in pattern recognition algorithms and vision technologies has earned her recognition and respect within the global academic community. As an active reviewer for several prestigious journals, she continues to shape the direction of future research in these areas. Her work on improving vision systems has been a source of inspiration for other researchers, as evidenced by the numerous citations of her papers and the collaborations she has fostered throughout her career.
🌟 Legacy and Future Contributions
Dr. Giuliana Ramella’s legacy lies in her pioneering research in Image Processing and vision technologies. As she continues her work in these areas, her contributions will further influence the evolution of vision systems across various applications, including artificial intelligence, machine learning, and robotics. Her ongoing involvement in international collaborations and research projects ensures that her influence will continue to grow, shaping the future of vision technologies for years to come. Dr. Ramella's legacy is one of dedicated research, innovative teaching, and active engagement in the global scientific community.
📝Vision
Dr. Giuliana Ramella's career has been closely tied to the field of vision, particularly in Image Processing and Pattern Recognition. Her work has contributed significantly to the advancement of vision technologies, improving systems for both academic and practical applications. As she continues to develop new methodologies and collaborate with international institutions, her future work will continue to enhance the capabilities of vision technologies worldwide.
Notable Publication
📝An Open Image Resizing Framework for Remote Sensing Applications and Beyond
Authors: Occorsio, D., Ramella, G., Themistoclakis, W.
Journal: Remote Sensing
Year: 2023
Citations: 0
📝Image Scaling by de la Vallée-Poussin Filtered Interpolation
Authors: Occorsio, D., Ramella, G., Themistoclakis, W.
Journal: Journal of Mathematical Imaging and Vision
Year: 2023
Citations: 9
📝Filtered Polynomial Interpolation for Scaling 3D Images
Authors: Occorsio, D., Ramella, G., Themistoclakis, W.
Journal: Electronic Transactions on Numerical Analysis
Year: 2023
Citations: 0
📝Lagrange–Chebyshev Interpolation for Image Resizing
Authors: Occorsio, D., Ramella, G., Themistoclakis, W.
Journal: Mathematics and Computers in Simulation
Year: 2022
Citations: 16
📝Saliency-Based Segmentation of Dermoscopic Images Using Colour Information
Authors: Ramella, G.
Journal: Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization
Year: 2022
Citations: 14
📝Evaluation of Quality Measures for Color Quantization
Authors: Ramella, G.
Journal: Multimedia Tools and Applications
Year: 2021
Citations: 15
📝Hair Removal Combining Saliency, Shape, and Color
Authors: Ramella, G.
Journal: Applied Sciences (Switzerland)
Year: 2021
Citations: 10