Dr. Meir Marmor | Image Analysis Awards | Best Researcher Award

Dr. Meir Marmor | Image Analysis Awards | Best Researcher Award

Dr. Meir Marmor , UCSF, United States

Dr. Meir Tibrin Marmor is a Professor of Clinical Orthopaedic Surgery at the University of California, San Francisco (UCSF), specializing in orthopaedic trauma and joint replacement. He earned his M.D. from the Israel Institute of Technology with cum laude distinction and completed his orthopaedic residency in Israel before advancing his training through AO and clinical fellowships in trauma and joint replacement surgery in Germany and the U.S. Since 2010, he has served as a trauma surgeon across several Level I and II centers in Northern California, with a primary clinical role at Zuckerberg San Francisco General Hospital (ZSFG), where he leads the Orthopaedic “Blue” Service, the Geriatric Orthopaedic Trauma Service, and the OTI Digital Science Laboratory. Dr. Marmor’s research focuses on musculoskeletal trauma in vulnerable and geriatric populations, as well as surgical education, data science, and digital health technology. He has received numerous awards, including the OTA’s Kathy Cramer Young Clinicians Research Award and multiple best paper and poster recognitions. An active member of global orthopedic societies, he also chairs the OTA Artificial Intelligence Task Force and contributes extensively to academic publishing and international presentations.

Professional Profile:

SCOPUS

Summary of Suitability – Dr. Meir Tibrin Marmor for Best Researcher Award

Dr. Meir Tibrin Marmor is a distinguished clinician-scientist in orthopaedic trauma surgery with over two decades of training, research, and clinical practice in high-impact academic and clinical environments. Currently a Professor of Clinical Orthopaedic Surgery at the University of California, San Francisco (UCSF), he combines surgical excellence with robust contributions to medical research and technology.

🎓 Education

  • 📘 B.Sc. in Medical Sciences – Israel Institute of Technology, Haifa (1988–1992) cum laude

  • 🩺 M.D. in Medicine – Ruth and Bruce Rappaport Faculty of Medicine, Israel Institute of Technology (1992–1996) cum laude

  • 🏥 Orthopaedic Surgery Residency – Tel-Aviv Medical Center & Barzilai Medical Center, Israel (2000–2008)

  • 🌍 AO Fellowship in Orthopaedic Trauma – Saarland University Hospital, Germany (2008)

  • 🔬 Research Fellowship – UCSF, Orthopaedic Trauma (2008–2009)

  • 🩻 Clinical Fellowship – UCSF, Orthopaedic Trauma Surgery (2009–2010)

  • 🦴 Joint Replacement Fellowship – Joint Replacement Institute, Los Angeles (2017–2018)

  • 💻 Master’s in Information and Data Science (MIDS) – UC Berkeley (2022–2024)

🧑‍⚕️ Work Experience

  • 👨‍🏫 Professor of Clinical Orthopaedic Surgery – UCSF, Step 1 (Current)

  • 🏥 Orthopaedic Trauma Surgeon at:

    • Zuckerberg San Francisco General Hospital (ZSFG)

    • Enloe Medical Center, Chico, CA (2012–2014)

    • Regional Medical Center of San Jose (2013–2022)

  • 👨‍🔬 Research and Medical Director Roles:

    • Clinical Research Director – UCSF @ Regional Medical Center

    • Medical Director – Biomechanics Testing Facility @ UCSF

    • Director – Geriatric Orthopaedic Trauma Service & OTI Digital Science Lab @ ZSFG

    • Chief – Orthopaedic “Blue” Service @ ZSFG

🏆 Honors and Awards

  • 🎖️ B.Sc. Medical Sciences – cum laude (1992)

  • 🎖️ M.D. – cum laude (1997)

  • 🪖 Operational Performance Citation – Lebanon Front, IDF (1999)

  • 💰 Fellowship Scholarships – American Physicians Fellowship & Israeli Medical Association (2008)

  • 🖼️ “Best Poster” Award – OTA 25th Annual Meeting, San Diego (2009)

  • 📜 Best Paper Nomination – CAINE Conference (2014)

  • 💡 Kathy Cramer Young Clinicians Research Development Award – OTA (2015)

  • 🏅 Howard Rosen Table Instructor Award – AO Trauma North America (2018)

Publication Top Notes:

Revisiting the OTA-OFC: a systematic review of open fracture classification studies since 2010

Artificial intelligence: international perspectives on critical issues

The Impact of National Orthopaedic Fracture Registries: A Systematic Review

Patient Recruitment Characteristics for Wearable-Sensor-Based Outcome Assessment in Trauma Surgery

A scoping review and critical appraisal of orthopaedic trauma research using the American College of Surgeons National Trauma Data Bank

Worldwide research trends concerning operative competence in orthopedics: A bibliometric and visualization study

Does the CDC Surgical Wound Classification adequately predict postoperative infection in lower extremity fracture surgery?

Mortality, perioperative complications and surgical timelines in hip fracture patients: Comparison of the Spanish with the non-Spanish Cohort of the HIP ATTACK-1 trial

Dr. Stefan Baar | Image Analysis Award | Best Researcher Award

Dr. Stefan Baar | Image Analysis Award | Best Researcher Award 

Dr. Stefan Baar, Muroran Institute of Technology, Japan

Dr. Stefan Baar, born on January 21, 1987, in Germany, is a distinguished researcher specializing in machine learning and image processing applications in agriculture and cell biology. He is currently a researcher at the Muroran Institute of Technology in Japan, where he focuses on detecting and classifying cell features and movements and estimating plant phenotyping using innovative machine learning techniques. His work is conducted at the Computational Intelligence Laboratory under the direction of Prof. Dr. Shinya Watanabe. Dr. Baar’s academic journey began with a Bachelor of Science in Physics from Friedrich-Schiller-Universität Jena, followed by a Master of Science in Physics from the same institution. He earned his Ph.D. in Physics from the Muroran Institute of Technology, with a thesis on scanning tunneling studies of the pseudo gap in high-temperature superconductors under the supervision of Prof. Dr. Naoki Momono.

Professional Profile:

ORCID

Summary of Suitability:

Stefan Baar’s extensive background in both machine learning and astrophysics, combined with his advanced technical skills and significant research contributions, position him as an exceptional candidate for the Best Researcher Award. His work on novel machine learning techniques for cell and plant phenotyping and his previous research in astrophysics demonstrate his versatility and impact in diverse scientific fields. His impressive publication record and innovative research methodologies further underscore his qualifications for this award.

Education

2013 – 2016
Ph.D. in Physics
Muroran Institute of Technology, Japan

  • Thesis: Scanning Tunneling Studies of the Pseudo Gap in High Temperature Superconductors
  • Supervisor: Prof. Dr. rer. nat. Naoki Momono
  • Institute: Material Science Unit

2011 – 2013
Master of Science in Physics
Friedrich-Schiller-Universität Jena, Germany

  • Thesis: The Westerbork Synthesis Radio Telescope (WSRT): Legacy Survey: Radio Relics in Galaxy Clusters
  • Grade: 1.4
  • Supervisor: Dr. rer. nat. Matthias Hoeft
  • Institute: Thüringer Landessternwarte Tautenburg (TLS)

2008 – 2011
Bachelor of Science in Physics
Friedrich-Schiller-Universität Jena, Germany

  • Thesis: The setup of the Small Radio Telescope (SRT) Jena
  • Grade: 1.1
  • Supervisor: PD Dr. rer. nat. habil. Katharina Schreyer (Assistant Professor)
  • Institute: Astrophysikalisches Institut und Universitäts-Sternwarte (AIU)
  • Laboratory Experience: Gamma spectroscopy, Superconductivity, Lasers, Fourier interferometry, Scanning tunneling microscopes, Optical and radio telescopes

2004 – 2007
High School
Pestalozzi Gymnasium Meerane, Germany

2003 – 2004
High School
Ellsworth Community High School, USA

Work Experience

2020 – Present
Researcher in Machine Learning and Image Processing for Applications in Agriculture and Cell Biology
Muroran Institute of Technology, Japan

  • Research on detection and classification of cell features and movements using novel machine learning techniques
  • Estimating plant phenotyping with advanced machine learning methods
  • Institute Director: Prof. Dr. Shinya Watanabe
  • Institute: Computational Intelligence Laboratory

2016 – 2020
Researcher (Tenure Track) in Astrophysics and Cosmology
University of Hyogo, Japan

  • Research on detection and classification of diffuse shock emission in large-scale radio surveys using novel machine learning techniques
  • Automation of robotic telescopes
  • Education: Lectured on astrophysics for university students, high school students, and the general public
  • Institute Director: Prof. Dr. Yoichi Itoh
  • Institute: Center for Astronomy, Nishi-Harima Astronomical Observatory

Publication top Notes:

Fiduciary-Free Frame Alignment for Robust Time-Lapse Drift Correction Estimation in Multi-Sample Cell Microscopy