Assist. Prof. Dr. Hye-Youn Lim | Computer Vision | Excellence in Research Award

Assist. Prof. Dr. Hye-Youn Lim | Computer Vision | Excellence in Research Award

Assist. Prof. Dr. Hye-Youn Lim | Computer Vision | Dong-A University | South Korea

Assist. Prof. Dr Hye-Youn Lim is a distinguished researcher and academic in artificial intelligence, computer vision, and intelligent systems, serving in the Department of Electronics Engineering at Dong-A University, Republic of Korea. Hye-Youn Lim obtained her Ph.D. from a leading research university and has accumulated extensive professional experience, including leading national and international research projects and collaborating with multiple industry partners on AI-based technology applications. Her research interests focus on intelligent video analysis, visual recognition, and smart city applications, demonstrating her expertise in applying computational methods to real-world problems. Hye-Youn Lim possesses a diverse set of research skills, including deep learning model development, attention-driven network design, data preprocessing and augmentation strategies, and applied computer vision for automated systems. Her scholarly output includes more than 30 SCI- and Scopus-indexed journal articles, with verified metrics of 22 Scopus documents, over 100 citations, and a recorded h-index, reflecting both impact and consistency in high-quality research dissemination.

Citation Metrics (Scopus)

120

90

60

30

0

Citations
105

Documents
22

h-index
3

Citations
Documents
h-index

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Featured Publications

Mr. Suresha R | Computer Vision Awards | Excellence in Research Award

Mr. Suresha R | Computer Vision Awards | Excellence in Research Award 

Mr. Suresha R | Computer Vision Awards | Amrita Vishwa Vidyapeetham | India

Mr. Suresha R. is a results-driven educator and technologist with over six years of combined experience in teaching computer science and academic leadership. He holds an M.Sc. in Computer Science and has qualified in UGC-NET and K-SET, while currently pursuing a Ph.D. Mr. Suresha R. has demonstrated expertise in curriculum design and research, particularly focusing on AI in autonomous solutions and computer vision applications. In his professional career, Mr. Suresha R. has served as an Assistant Professor at Amrita Vishwa Vidyapeetham, School of Computing, Mysuru Campus, and at SBRR Mahajana First Grade College, Mysuru, where he delivered advanced courses in Computer Vision, Digital Image Processing, Pattern Recognition, Computational Intelligence, Computer Graphics, Machine Learning, Exploratory Data Analysis, R Programming, Information Retrieval, Data Mining, Numerical Analysis, and Operations Research, consistently achieving high student satisfaction. His research interests encompass small traffic sign detection and recognition in challenging scenarios using computer vision and LiDAR-based techniques with ROS2 framework, deep learning-based vehicle detection and distance estimation for autonomous systems, motion blur image restoration, wild animal recognition through vocal analysis, and SVM-based medical image classification. Mr. Suresha . possesses strong research skills in Python, MATLAB, ROS2, machine learning, deep learning, image processing, and data analysis. He has successfully guided Bachelor’s and Master’s students in research projects, fostering innovation and academic growth. His academic contributions are recognized through multiple publications in prestigious journals and conferences, including IEEE Access, Procedia Computer Science, ICCCNT, CCEM, ICECAA, and INDIACom. Mr. Suresha . has a proven record of collaborating in interdisciplinary teams, effectively communicating complex technical concepts, and mentoring students to achieve excellence in research and practical applications. His dedication to lifelong learning and active engagement in both teaching and research demonstrates his commitment to advancing knowledge in computer science and autonomous systems. Throughout his career, Suresha  has received awards and recognitions for research excellence, contributing to the development of sustainable and intelligent solutions in the field of computer vision and AI. Overall, Mr. Suresha exemplifies a passionate and innovative professional, bridging theoretical foundations with applied research, and continues to make significant contributions to academia and technology

Professional Profiles: ORCID

Selected Publications 

  1. Suresha, R., Manohar, N., Ajay Kumar, G., & Singh, R. (2024). Recent advancement in small traffic sign detection: Approaches and dataset.

  2. Suresha, R., Manohar, N., & Jipeng, T. (2024). Two-stage traffic sign classification system.

  3. Sudharshan Duth, P., Manohar, N., Suresha, R., Priyanka, M., & Jipeng, T. (2024). Wild animal recognition: A vocal analysis.

  4. Suresha, R., Jayanth, R., & Shriharikoushik, M. A. (2023). Computer vision approach for motion blur image restoration system.

  5. Srinivasa, C., Suresha, R., Manohar, N., Dharun, G. K., Sheela, T., & Jipeng, T. (2023). Deep learning-based techniques for precise vehicle detection and distance estimation in autonomous systems.

  6. Suresha, R., Devika, K. M., & Prabhu, A. (2022). Support vector machine classifier based lung cancer recognition: A fusion approach.

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