Dr. Donatella Di Fabrizio – Robotic Surgery Systems – Best Innovator Award

Published on by Robotics and Automation

Dr. Donatella Di Fabrizio - Robotic Surgery Systems - Best Innovator Award

Salesi Children's Hospital - Italy

Author Profile

ORCID

Summary


Donatella Di Fabrizio is a dedicated pediatric surgeon whose career seamlessly bridges clinical practice, Robotic Surgery Systems academic excellence, and cutting-edge research. with a strong educational background from leading italian and european institutions, she has specialized in neonatal and minimally invasive surgery techniques. her professional journey includes significant roles in major hospitals across italy and france, where she has contributed to improving pediatric surgical outcomes. her active participation in international congresses and hands-on workshops highlights her commitment to innovation, especially in the fields of robotic surgery and advanced diagnostics. her exposure to technological advancements, including power electronics in surgical robotics, reflects her interest in integrating technology with pediatric surgical care.

Early academic pursuits


Donatella Di Fabrizio embarked on her medical education with a degree in medicine and surgery from the university “g. d’annunzio” chieti-pescara, graduating with top honors cum laude. her academic interests matured through specialized internships in pediatric surgery, both locally and abroad, including the pediatric surgery department of leeds general infirmary in the uk. during this period, her exposure to innovative surgical technologies subtly linked her understanding of technical domains such as power electronics, Robotic Surgery Systems which play a role in advancing surgical equipment and robotic systems.

Professional endeavors


Donatella Di Fabrizio’s professional journey reflects a consistent focus on pediatric surgery. starting as a medical doctor and progressing to a consultant in pediatric surgery at the university hospital of marche, she also completed critical residency periods in prestigious italian and french hospitals. her active participation in first aid training and neonatal surgical masterclasses illustrates her dedication to practical skill development. throughout her career, Robotic Surgery Systems she has encountered advanced surgical devices where power electronics drive precision instruments used in minimally invasive and robotic procedures, influencing pediatric surgical outcomes.

Contributions and research focus


Donatella Di Fabrizio has contributed significantly to pediatric surgery literature, particularly in neonatal and minimally invasive surgery. her research includes studies on esophageal atresia, hirschsprung's disease, and robotic surgery in children. her paper presentations at international congresses demonstrate her commitment to pushing boundaries in surgical methods, Robotic Surgery Systems including the adoption of robotic systems. this aligns with technological innovations where power electronics serve as a backbone for the control and efficiency of surgical robotics, enhancing operative precision in sensitive pediatric cases.

Impact and influence


Her influence extends through her numerous presentations at european and global surgical congresses. her comparative research on thoracotomy versus thoracoscopy and her work on robotic-assisted laparoscopic surgeries have informed new approaches in pediatric surgery. her role as a co-chair and tutor reflects her standing as a mentor in the field. indirectly, Robotic Surgery Systems her engagement with surgical technologies that rely on power electronics showcases her appreciation for interdisciplinary innovations shaping modern surgical practices.

Academic cites


Donatella Di Fabrizio’s research has been cited in topics such as robotic pediatric surgery, minimally invasive procedures, and gastrointestinal disorders in neonates. her collaborative works have been referenced in scholarly discussions on the efficacy and safety of robotic systems in surgery—systems fundamentally supported by power electronics components Robotic Surgery Systems ensuring device reliability and surgeon control during complex operations.

Legacy and future contributions highlight


Her growing legacy in pediatric surgery is built upon her academic rigor, research productivity, and clinical excellence. future contributions are likely to include deeper exploration of robotic and minimally invasive techniques, possibly incorporating artificial intelligence and power electronics to revolutionize surgical practices. Robotic Surgery Systems her continued involvement in international collaborations and advanced surgical training will sustain her impact on the next generation of pediatric surgeons.

Notable Publications

  1. Title: Paediatric Robotic Transperitoneal Heminephroureterectomy in Complete Duplicated Systems: Early and Long‐Term Outcomes
    Authors: Donatella Di Fabrizio; Thomas P. Cundy; Azad S. Najmaldin
    Journal: The International Journal of Medical Robotics and Computer Assisted Surgery

  1. Title: The use of robotic single site system in pediatric surgery: a systematic review
    Authors: Donatella Di Fabrizio; Edoardo Bindi; Fabiano Nino; Giovanni Cobellis
    Journal: Journal of Robotic Surgery

  1. Title: Thoracotomy vs Thoracoscopy for Esophageal Atresia with Tracheoesophageal Fistula Repair: Is There a Difference in Quality of Life?
    Authors: Donatella Di Fabrizio; Francesca Mastroberti; Alba Cruccetti; Edoardo Bindi; Giovanni Cobellis
    Journal: Preprint

  1. Title: Risk Factors for Complications and Disease Recurrence after Ileocecal Resection for Crohn’s Disease in Children and Adults
    Authors: Valeria Dipasquale; Erica Milone; Stefania Nigro; Angela Alibrandi; Enrica Antonelli; Donatella Di Fabrizio; Carmelo Romeo; Giuseppe Navarra; Claudio Romano
    Journal: Biomedicines

  1. Title: Combined Minimally Invasive Treatment of Pyeloureteral Junction Obstruction and Primary Obstructive Megaureter in Children: Case Report and Literature Review
    Authors: Donatella Di Fabrizio; Irene Tavolario; Lorenzo Rossi; Fabiano Nino; Edoardo Bindi; Giovanni Cobellis
    Journal: Children

Conclusion


Donatella Di Fabrizio’s career stands as a model of medical expertise, research-driven practice, and technological curiosity. her work in pediatric surgery not only advances clinical knowledge but also paves the way for integrating new technologies such as robotic systems powered by power electronics, promising safer and more effective surgical procedures. with her strong academic and professional foundation, she is poised to continue making impactful contributions to pediatric healthcare, training the next generation of surgeons, and embracing innovations that shape the future of minimally invasive and neonatal surgery.

Prof. Yunyoung Nam -Biomedical Engineering – Best Researcher Award

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Prof. Yunyoung Nam -Biomedical Engineering - Best Researcher Award

Soonchunhyang University - South Korea

Author Profile

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ORCID

Summary

Yunyoung Nam is a distinguished professor in the department of computer science and engineering at soonchunhyang university, with a diverse academic and professional background. his early academic excellence, recognized by multiple presidential awards and fellowships, laid a strong foundation for his future endeavors. through teaching roles and research positions in both south korea and the united states, he has cultivated expertise in multimedia information retrieval, machine learning, and computer vision.

Early academic pursuits

Yunyoung nam began his academic journey with a strong foundation in computer science, earning accolades such as the presidential award for excellence twice during his graduate studies at the graduate school of information and communication. supported by the dasan fellowship in 2000 at ajou university, he built an early interest in programming, databases, and data processing. between 2001 and 2003, he served as a teaching assistant, refining both technical and instructional Biomedical Engineering skills in foundational computing subjects such as c programming and databases. his formative years in academia prepared him for interdisciplinary applications, including power electronics, embedded systems, and multimedia systems.

Professional endeavors

His professional trajectory spans prestigious institutions in south korea and the united states. after earning his phd, he held roles including postdoctoral researcher at stony brook university and research assistant professor at ajou university. dr. nam furthered his global research outlook as a postdoctoral fellow at worcester polytechnic institute. since 2014, he has been a key academic figure at soonchunhyang university, serving successively as assistant, associate, and Biomedical Engineering now full professor. throughout his academic appointments, he has also taught a wide array of technical subjects including deep learning, software engineering, and artificial intelligence, while maintaining active involvement in power electronics applications within smart home and biomedical systems.

Contributions and research focus

Yunyoung Nam's research spans diverse domains, emphasizing multimedia information retrieval, digital image processing, computer vision, and biomedical engineering. his work delves into machine learning, behavior recognition, and human-computer interaction—topics critical to pervasive computing and surveillance systems. one notable strength is his application of evolutionary algorithms to multimedia and 3d visualization problems. his research also explores power electronics in the context of biomedical devices and smart environments, bringing interdisciplinary innovation to the forefront.

Impact and influence

Professor Nam's impact is evident through several prestigious honors, including multiple presidential awards for best researcher at soonchunhyang university. his inclusion in the stanford/elsevier’s top 2% scientist rankings underscores the global recognition of his scholarly excellence. his long-standing memberships with ieee, mdpi, and other peer-reviewed journals reflect his ongoing contributions to Biomedical Engineering academic communities across computer science and engineering.

Academic citations

With a solid presence in high-impact journals such as multimedia tools and applications, security and communication networks, and ksii transactions on internet and information systems, Yunyoung Nam’s work continues to receive significant academic citations. his role as editor and reviewer across leading publications demonstrates his influence in shaping future research, especially in Biomedical Engineering ,multimedia content analysis, deep learning, and system-level integrations relevant to power electronics and biomedical technologies.

Legacy and future contributions

As a dedicated educator and researcher, Dr. Nam has mentored countless students and junior researchers. his sustained teaching in core computer science areas and advanced topics like ai and deep learning reflect a commitment to nurturing the next generation of engineers and scientists. moving forward, he is poised to deepen his research in smart systems, pervasive Biomedical Engineering computing, and power electronics-driven biomedical devices, reinforcing his legacy in both academia and industry.

Notable Publications

Title: A Novel Approach for High-Resolution Coastal Areas and Land Use Recognition From Remote Sensing Images Based on Multimodal Network-Level Fusion of SRAN3 and Lightweight Four Encoders ViT
Authors: Muhammad Kashif Bhatti, Muhammad Attique Khan, Saima Shaheen, Ameer Hamza, Ali Arishi, Dina Abdulaziz AlHammadi, Shabbab Ali Algamdi, Yunyoung Nam
Journal: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Title: Analysis of Near-Fall Detection Method Utilizing Dynamic Motion Images and Transfer Learning
Authors: Jung-Yeon Kim, Nab Mat, Chomyong Kim, Awais Khan, Hyo-Wook Gil, Jiwon Lyu, Euyhyun Chung, Kwang Seock Kim, Seob Jeon, Yunyoung Nam
Journal: IEEE Access

Title: Energy-Efficient Discrete Cosine Transform Architecture Using Reversible Logic for IoT-Enabled Consumer Electronics
Authors: Muhammad Awais, Wilayat Khan, Tallha Akram, Yunyoung Nam
Journal: IEEE Access

Title: Cooperative PPG/ECG Wearable System for Atrial Fibrillation Diagnosis
Authors: Yongbin Lee, Soyoung Lee, Sang Kyu Kim, Dong Keon Yon, Yunyoung Nam, Jinseok Lee
Journal: IEEE Sensors Journal

Title: A Deep Learning Approach for Automated Depression Assessment Using Roman Urdu
Authors: Ruba Mohmand, Usman Habib, Muhammad Usman, Jamel Baili, Yunyoung Nam
Journal: IEEE Access

Conclusion

Dr. Yunyoung Nam’s academic journey reflects a lifelong dedication to education, innovation, and interdisciplinary research. his work not only advances core areas in computer science but also extends into real-world applications, particularly in smart environments and power electronics. through his impactful teaching, recognized awards, and international research collaborations, he continues to influence both academic and technological landscapes, setting the stage for future innovations in multimedia systems and intelligent computing.