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

Prof. Zuofeng Zhou | Optical Imaging | Best Researcher Award

Prof. Zuofeng Zhou | Optical Imaging | Best Researcher Award 

Prof. Zuofeng Zhou, Xi’an Institute of Optics and Precision Mechanics of CAS, China

Dr. Zuofeng Zhou is a Professor at the Xi’an Institute of Optics and Precision Mechanics (XIOPM), Chinese Academy of Sciences, and the Chief Engineer of XIOPM Holdings Co., Ltd. He is recognized as an Outstanding Young Scholar in Shaanxi Province, China. His research interests span image denoising, computer vision, machine learning, hyperspectral remote sensing image processing, and scientific and technological achievements industrialization. Over the past decade, he has published more than 80 research papers in esteemed journals and conferences and holds 14 technology and product patents. Dr. Zhou is an IEEE Member and serves as a reviewer for multiple international journals, including IEEE Transactions on Image Processing and Neurocomputing. He is actively involved in the industrialization of scientific and technological innovations, leading efforts in technology commercialization, startup incubation, and investment in high-tech enterprises, particularly in optoelectronics and military-civilian integration.

Professional Profile:

ORCID

SCOPUS

Summary of Suitability for Best Researcher Award

Dr. Zuofeng Zhou is a highly accomplished researcher with extensive contributions in the fields of image processing, computer vision, and machine learning. His expertise spans both theoretical research and practical industrial applications, particularly in hyper-spectral remote sensing image processing and image/video analysis.

🎓 Education

  • Ph.D. in a relevant field (Details not specified)

💼 Work Experience

  • Full Professor – XIOPM, Chinese Academy of Sciences
  • Chief Engineer – XIOPM Holdings Co., LTD
  • Referee – Reviewer for top journals including:
    • IEEE Transactions on Image Processing
    • Neurocomputing (Elsevier)
    • IET Image Processing
    • Signal Processing (Elsevier)
    • Conferences: CVPR, ICIP, ECCV

🏆 Achievements & Contributions

  • 📜 Research Contributions:
    • Published 80+ research papers in renowned journals and conferences (e.g., Signal Processing, ICIP, IET Image Processing)
    • Authored book chapter in Wavelet Transform and Some of Its Real-World Applications (ISBN: 978-953-51-2230-2)
  • 🔬 Research Interests:
    • Image denoising & computer vision
    • Machine learning & hyperspectral remote sensing
    • Image/video analysis
    • Industrialization of scientific and technological achievements
  • 📌 Patents:
    • Obtained 14 technology and product patent authorizations
  • 🚀 Industrialization Initiatives:
    • Led the commercialization of S&T achievements at XIOPM
    • Established 280+ hi-tech enterprises
    • Created 7,000+ jobs
    • Developed industry clusters in laser equipment, optoelectronic integrated circuits, and healthcare
  • 💰 Investment & Entrepreneurship:
    • Co-founded CAS Star Incubator Co., Ltd.
    • Managed funds totaling ~5 billion CNY
    • Invested in 150+ projects, attracting over 630 million CNY in social investment

🏅 Awards & Honors

  • 🌟 Outstanding Young Scholar – Shaanxi Province, China
  • 🎖 IEEE Member
  • 🏆 Recognitions:
    • “CAS Pilot Unit for S&T Achievement Transformation”
    • “Shaanxi Pilot Unit for Building an Innovative Province”
    • “State-level S&T Enterprise Incubator”

Publication Top Notes:

Satellite Pose Measurement Using an Improving SIFT Algorithm

ViBe algorithm based on background fusion and channel calculation

The Application of a Pavement Distress Detection Method Based on FS-Net

Image Enhancement Technology in Pavement Disease Detection System

High-Precision Volume Measurement of Potholes in Pavement Maintenance

 

Assoc. Prof. Dr. Linchang Zhao | Graphics Processing Unit | Best Researcher Award

Assoc. Prof. Dr. Linchang Zhao | Graphics Processing Unit | Best Researcher Award

Assoc. Prof. Dr. Linchang Zhao, School of Computer Science, China

Dr. Linchang Zhao is an Associate Professor and graduate tutor at Guiyang University, China, specializing in machine learning, deep learning, few-shot learning, optimization algorithms, and meta-learning. He earned his Ph.D. in Computer Science from Chongqing University and holds an M.E. in Mathematics and Statistics from Qiannan Normal College for Nationalities, as well as a B.S. in Computer Science from Northeast Petroleum University. His research focuses on data mining, imbalanced learning, and developing novel learning models for small data scenarios. Dr. Zhao has authored numerous high-impact publications in top-tier journals and conferences, particularly in cost-sensitive meta-learning and software defect prediction. He has also contributed to several national and provincial research projects and holds patents related to small sample learning and software defect prediction. His expertise in artificial intelligence and deep learning continues to drive innovation in intelligent computing and data-driven decision-making.

Professional Profile:

SCOPUS

ORCID

Summary of Suitability for the Best Researcher Award

Linchang Zhao is a highly deserving candidate for the Best Researcher Award, given his significant contributions to machine learning, deep learning, few-shot learning, and optimization algorithms. His research has pushed the boundaries of artificial intelligence (AI) and computational intelligence, particularly in the areas of data mining, imbalanced learning, and meta-learning.

Education 🎓

  • Ph.D. in Computer Science – Chongqing University, China (2017.9 – 2021.7)
  • M.E. in Mathematics and Statistics – Qiannan Normal College for Nationalities, China (2015.9 – 2017.7)
  • B.S. in Computer Science – Northeast Petroleum University, China (2009.9 – 2013.7)

Work Experience 🏫

  • Associate Professor & Graduate Tutor – Guiyang University, China (Present)

Achievements 🏆

  • Published numerous research papers in prestigious journals such as IEEE Transactions on Cybernetics, Future Generation Computer Systems, and Neurocomputing.
  • Contributed to multiple national and international research projects on deep learning, machine learning, and data mining.
  • Developed advanced models for software defect prediction, cost-sensitive learning, and imbalanced data classification.

Awards & Honors 🎖️

  • Patent Holder for innovative methods in software defect prediction and small-sample learning classifiers.
  • Principal Investigator of a National Natural Science Foundation of China project on Deep Learning (2018–2020).
  • Contributor to significant projects in military intelligence, education big data, and oil exploration risk assessment.
  • Recognized Researcher in Few-Shot Learning, Meta-Learning, and Optimization Algorithms.

Publication Top Notes:

Design and Implementation of GPU Pass-Through System Based on OpenStack

RFAConv-CBM-ViT: enhanced vision transformer for metal surface defect detection

Siamese Dense Neural Network for Software Defect Prediction With Small Data

A cost-sensitive meta-learning classifier: SPFCNN-Miner

Software defect prediction via cost-sensitive Siamese parallel fully-connected neural networks