Mr. Yuxin Fang | Neural Engineering | Young Scientist Award

Mr. Yuxin Fang | Neural Engineering | Young Scientist AwardΒ 

Mr. Yuxin Fang, chongqing university, China

Yuxin Fang is a doctoral candidate at Chongqing University, specializing in surgical navigation technology. His research focuses on electric field-based surgical navigation, a novel approach that achieves real-time, three-dimensional localization with high precision. He has developed an innovative system that ensures surgical instrument positioning accuracy within 2mm in real tissues, offering a radiation-free and miniaturized solution for medical procedures. His contributions bridge computer science, biomedical engineering, and surgery, significantly advancing automated surgical platforms. With four SCI papers and active collaborations with institutions such as the University of Warwick, UK, and Southwest Hospital, China, Yuxin Fang is dedicated to enhancing surgical precision and medical technology.

Professional Profile:

SCOPUS

Summary of Suitability for the Research for Young Scientist Award – Yuxin Fang

Yuxin Fang is a highly suitable candidate for the Research for Young Scientist Award based on his outstanding contributions to the field of surgical navigation and biomedical engineering. His research on electric field-based surgical navigation has led to an innovative system achieving real-time, 3D localization of surgical instruments within 2mm accuracy in real tissues. This breakthrough eliminates the need for radiation-based tracking and enhances the precision of automated surgeries, significantly impacting computer-aided surgery and biomedical instrumentation.

πŸŽ“ Education

  • Ph.D. Candidate (Pursuing) – Chongqing University, China πŸ‡¨πŸ‡³
    Field: Surgical Navigation, Biomedical Engineering, Computer-Aided Surgery

🏒 Work & Research Experience

  • Doctoral Researcher – Chongqing University πŸ₯
    • Developed electric field-based surgical navigation for real-time, 3D localization πŸ₯πŸ“‘
    • Designed a radiation-free, miniaturized system for high-precision surgical instrument positioning 🎯
    • Integrated system with automated surgical platforms for robotic-assisted procedures πŸ€–πŸ”¬
  • Research Collaborator
    • Department of Physics, University of Warwick, UK πŸ‡¬πŸ‡§ πŸ”¬
    • Center of Critical Care Medicine, Southwest Hospital, Army Medical University, China πŸ‡¨πŸ‡³ πŸ₯

πŸ† Achievements & Contributions

  • Published 6 peer-reviewed journal papers (SCI, Scopus) πŸ“šβœοΈ
  • Developed an innovative electric field-based surgical navigation system πŸ₯⚑
  • Contributed to 3 consultancy/industry projects πŸ—οΈπŸ’Ό
  • Editorial Appointment – International Journal of Computer Science and Information Technology βœοΈπŸ“–
  • Worked on substation grounding network topology detection and corrosion diagnosis βš‘πŸ› οΈ

πŸ… Awards & Honors

  • Nominee for the Research for Young Scientist Award πŸ†πŸ‘¨β€πŸ”¬
  • Recognized for interdisciplinary research bridging biomedical engineering, computer science, and surgery πŸ€–πŸ§ 
  • Established key international research collaborations πŸŒπŸ”¬

PublicationΒ Top Notes:

An Electric Field Stereotaxis Method for Surgical Localization and Navigation of Solid Organs

Ernest Greene | Neuropsychology | Best Researcher Award

Ernest Greene | Neuropsychology | Best Researcher Award

Prof Dr. Ernest Greene, University of Southern California, United States.

Ernest Greene is a Professor of Psychology at the University of Southern California, where he has been a faculty member since 1969. He is renowned for his contributions to neuropsychology and visual perception. With a Ph.D. from the University of Oregon and postdoctoral work at UCLA’s Brain Research Institute, Greene’s research focuses on shape recognition and the brain’s visual processing systems. His extensive career includes patents and numerous peer-reviewed publications. As an active member of several prestigious associations, he continues to shape the future of neuroscience.Β πŸ§ πŸ“šπŸ‘¨β€πŸ«

Professional Profile:

Scopus

Education and Experience:

  • πŸŽ“Β B.A.: 1963, San Jose State University
  • πŸŽ“Β M.A.: 1965, San Jose State University
  • πŸŽ“Β Ph.D.: 1968, University of Oregon
  • 🧠 Postdoctoral Fellowship: 1969, Brain Research Institute, UCLA
  • πŸ‘¨β€πŸ«Β Faculty Member: USC Department of Psychology, 1969 to present
  • πŸŽ“Β Founding Director: Master’s in Human Behavior Program, 2009-2012
  • 🧠 CFO: Neuropsychology Foundation, Los Angeles, 1983-present
  • πŸ₯Β Neuropsychology Internship: Huntington Memorial Hospital, 1978-1979

 

Suitability for Best Researcher Award:

Ernest Greene, a Professor of Psychology at the University of Southern California, stands out as a remarkable candidate for the Best Researcher Award in the field of neuropsychology. His extensive education, including a Ph.D. from the University of Oregon and a postdoctoral fellowship at the Brain Research Institute at UCLA, establishes a strong foundation for his research endeavors.

Professional Development:

Throughout his illustrious career, Ernest Greene has been committed to advancing the field of psychology, particularly in neuropsychology and cognitive sciences. He founded the Master’s in Human Behavior program at USC and served as the head of the Brain & Cognitive Sciences area, influencing both academic curriculum and research. His editorial contributions to leading journals and service as the CFO of the Neuropsychology Foundation underscore his dedication to the scientific community. Greene’s innovative patents and leadership roles make him a highly respected figure in his field.Β πŸ§ πŸ”¬πŸ“œ

Research Focus:

Ernest Greene’s research focuses on understanding how the human brain encodes and processes shapes and patterns, particularly through vision. His work challenges conventional theories and introduces new neuromorphic concepts, exploring how rapid shape recognition occurs in the brain. Greene has conducted extensive studies on visual perception, including how the brain processes briefly displayed shapes and patterns. His research has applications in fields like artificial intelligence and cognitive neuroscience, helping to improve our understanding of brain functions related to vision.Β πŸ‘οΈπŸ§ πŸ”¬

Awards and Honors:

  • πŸ…Β Fellow – American Association for the Advancement of Science
  • πŸ†Β Fellow – American Psychological Association (Divisions 1, 3, 6)
  • πŸŽ–οΈΒ Fellow – Psychonomic Society
  • πŸ…Β Charter Fellow – Association for Psychological Science
  • πŸ†Β Charter Fellow – American Association for the Advancement of Preventive Psychology

Publication top Notes:

  • “Human perception of flicker-fused letters that are luminance balanced”Β (2024) – 0 citationsΒ πŸ“„πŸ‘οΈ
  • “Evaluating integration of letter fragments through contrast and spatially targeted masking”Β (2024) – 0 citationsΒ πŸ“„πŸ§©
  • “Evaluating the Talbot-Plateau law”Β (2023) – 2 citationsΒ πŸ“„πŸ”¬
  • “Evaluating spatiotemporal integration of shape cues”Β (2020) – 1 citationΒ πŸ“„πŸŒ€
  • “An Evolutionary Perspective on the Design of Neuromorphic Shape Filters”Β (2020) – 0 citationsΒ πŸ“„πŸ€–
  • “Masking the Integration of Complementary Shape Cues”Β (2019) – 0 citationsΒ πŸ“„πŸŽ­
  • “Comparing methods for scaling shape similarity”Β (2019) – 0 citationsΒ πŸ“„πŸ“
  • “Computational Scaling of Shape Similarity That has Potential for Neuromorphic Implementation”Β (2018) – 3 citationsΒ πŸ“„πŸ§ 
  • “New encoding concepts for shape recognition are needed”Β (2018) – 6 citationsΒ πŸ“„πŸ”
  • “Visual encoding of partial unknown shape boundaries”Β (2018) – 5 citationsΒ πŸ“„βœ‚οΈ