Mr. FERNANDO GARCIA SANZ | Robotic | Best Researcher Award

Mr. FERNANDO GARCIA SANZ | Robotic | Best Researcher Award

Director Rehabilitation, CEMTRO clinic, Spain

Fernando García Sanz  is a highly accomplished physiotherapist and rehabilitation expert with over 25 years of experience in the fields of physiotherapy, injury prevention, and sports rehabilitation. Currently based in Madrid, Spain, he serves as the Director of the Physiotherapy and Rehabilitation Department at Hospital CEMTRO, a role he has held since 2008. His career includes prestigious positions, such as personal physiotherapist to Real Madrid Football Club players, and his work emphasizes elite treatment standards for both professional athletes and general patients. Fernando is recognized not only for his hands-on clinical expertise but also for his contributions to education, research, and leadership in healthcare institutions.

Publication Profile

Scopus

🎓 Education Background:

Fernando is currently pursuing a PhD in Health Sciences since 2021. He holds an Executive Master in Advanced Management Program from IE Business School (2019–2021), a Master’s Degree in Directing and Managing Health Institutions from University Pontificia de Salamanca (2016–2017), and an Expert Title in Manipulative Therapy from the CAR of San Cugat (2014–2015). His academic path also includes a Master’s in Sports Physiotherapy from European University of Madrid (2009–2010), where his award-winning thesis was published, and a Bachelor’s Degree in Physical Therapy from University Pontificia de Salamanca (1995–1998). 📘📚

💼 Professional Experience:

Fernando’s career is distinguished by his leadership at Hospital CEMTRO since 2000, where he rose from physiotherapist to department director. Under his leadership, the department became a FIFA Medical Centre of Excellence, handling over 90,000 sessions annually. He was also Director of the Sport Injury Center (2010–2012) and served for 15 years as a physiotherapist at Real Madrid CF (1998–2013), managing injury recovery and rehabilitation for elite athletes. His early clinical work included roles at San Rafael and Pío XII Hospitals. 🏥⚽

🏅 Awards and Honors:

Fernando contributed significantly to Hospital CEMTRO’s recognition as one of only 49 FIFA Centers of Medical Excellence worldwide 🌍. His master’s thesis earned Summa Cum Laude honors, and he is frequently invited as a speaker on national TV and at top medical conferences. He is a recognized expert member of ASEPI and the Official College of Physiotherapists of Madrid.

🔬 Research Focus:

His research interests include invasive physiotherapy techniques, tendinopathies, cartilage injuries, eccentric training, and sports injury prevention and recovery. Fernando integrates clinical experience with academic knowledge through his teaching and his company EXEFF, where he trains advanced physiotherapists. He has published in top journals and contributed to textbooks and international guidelines. 🧬📝

✅ Conclusion:

Fernando García Sanz is a trailblazer in physiotherapy and rehabilitation in Spain, blending hands-on excellence with visionary leadership and scholarly insight. His commitment to elite sports health, education, and continuous learning cements his reputation as a foremost authority in physiotherapy and sports medicine. 🏅📈

📚 Top Publications :

Effect of the invasive treatment through dry needling about the tolerance to the myofascial pain in the infraspinatus muscle
📅 Year: 2011 | 📖 Journal: Cuestiones de Fisioterapia
📊 Cited by: ~20 articles (approximate based on indexing databases)

Physiotherapy after Cartilage Repair – ICRS Newsletter
📅 Year: 2011 | 📖 Journal: ICRS Newsletter
📊 Cited by: Multiple clinical reference works and therapy guidelines

The strength training as active-assisted exercise therapy in Cinesiterapia: Physiological Basis and Practical Application
📅 Year: 2013 | 📖 Publisher: Elsevier
📊 Cited by: Multiple academic book reviews and physiotherapy courses

Treatment of glenohumeral internal rotation deficit in the general population with shoulder pain. An open single-arm clinical trial
📅 Year: 2023 | 📖 Journal: Medicine (Baltimore)
📊 Cited by: 5+ clinical studies and orthopedic therapy reviews

Heung-Shik Lee | Robotics | Best Researcher Award

Prof. Heung-Shik Lee | Robotics | Best Researcher Award

Professor, Joongbu University, South Korea

Heung-Shik Lee is a distinguished professor and the Dean of the Department of Electrical Electronic and Automotive Engineering at Joongbu University since 2016. 🌟 With a solid background as a technical advisory member for the Ministry of SMEs and Startups and the Ministry of Environment, Prof. Lee has made significant contributions to the field. Prior to his current role, he was a professional researcher at the High Energy Materials Specialized Research Center at the Agency for Defense Development in Korea and a Research Fellow at the University of Texas at Dallas. 🌐

Profile

Strengths for the Award:

  1. Innovative Research Focus: Prof. Lee has developed an autonomous small mobility robot that addresses a significant challenge—exploring underground facilities where traditional communication methods like Wi-Fi and GPS are not viable. This innovation has practical implications for improving infrastructure management and safety.
  2. Significant Contributions: His research directly impacts community safety and efficiency by enabling precise location information of underground pipes and exploration results. This is crucial for maintaining and managing infrastructure, which benefits public services and safety.
  3. Professional Expertise: Prof. Lee’s extensive experience in both academic and industry settings, including his advisory roles with government ministries and his background in high-energy materials research, highlights his deep expertise and the relevance of his work.
  4. Research Output: With 48 journal publications, 14 patents, and numerous consultancy projects, Prof. Lee demonstrates a high level of productivity and impact in his field. His citation index of 270 further supports the influence and recognition of his work.
  5. Collaborations and Memberships: His collaborations with institutions like Inha University and his advisory roles show his active engagement in advancing his field and contributing to broader technological and academic communities.

Areas for Improvement:

  1. Community Engagement: While his research has clear practical applications, additional details on community involvement or outreach efforts could strengthen his case. Demonstrating direct interactions with or benefits to local communities might add further value to his nomination.
  2. Broader Impact: Highlighting specific case studies or real-world implementations of his technology could provide a clearer picture of the community impact. Evidence of successful commercial applications or user feedback would enhance the assessment of his contributions.
  3. Detailed Metrics: Providing more specific metrics or examples of how his research has directly benefited communities or led to tangible improvements would strengthen the nomination. This could include details on cost savings, safety improvements, or efficiency gains from his innovations.

Education

Prof. Lee has an extensive academic foundation, holding advanced degrees in engineering, which underpin his expertise in smart materials and automotive applications. 📚

Experience

His professional journey includes notable positions such as serving as a technical advisor and contributing to multiple research and consultancy projects. His expertise extends to autonomous control, smart materials, sensors, and structural safety. 🚀

Research Interests

Prof. Lee’s research focuses on smart material-based automotive applications, autonomous control systems, and advanced sensors and actuators. His innovative work includes the development of autonomous small mobility robots for underground facility exploration using AI technology. 🤖

Awards

Prof. Lee is nominated for the Best Researcher Award, recognizing his exceptional contributions to the field of engineering and technology. 🏆

Publications

Multiple IMU sensor fusion using resolution refinement method to reduce quantization error