Prof Dr. Kozo Nagami | Human Pose Estimation | Best Researcher Award

Prof Dr. Kozo Nagami | Human Pose Estimation | Best Researcher Award

Prof Doctorate at Tohoku University, Japan

๐Ÿ‘จโ€๐ŸŽ“ Profiles

Scopus

Orcid

Publications

Medium to long-term impacts from in-situ housing reconstruction: Insights from post-disaster surveys of the Indian Ocean tsunami and Nepal earthquake

  • Author: Kozo Nagami, Tomoki Miyano, Mohammad Naser Sediqi
  • Journal: International Journal of Disaster Risk Reduction
  • Year: 2025

Relationship Between Urbanizationโ€“Induced Land Use Changes and Flood Risk: Case Study in Chiang Mai, Thailand

  • Author: Zhaolong Gu, Sartsin Phakdimek, Kozo Nagami, Daisuke Komori
  • Journal: Water
  • Year: 2025

Disaster Risk Reduction and Building Resilience in the Hindu Kush Himalaya

  • Author: Vaidya, R.A., Shrestha, M.S., Nasab, N., Gurung, D.R., Kozo, N., Pradhan, N.S., Wasson, R.J.
  • Journal: The Hindu Kush Himalaya Assessment: Mountains, Climate Change, Sustainability and People
  • Year: 2019

Reconstruction of the Aceh Region following the 2004 Indian Ocean tsunami disaster: A transportation perspective

  • Author: Matsumaru, R., Nagami, K., Takeya, K.
  • Journal: IATSS Research
  • Year: 2012

Han-Zhang-Applications of Computer Vision-Excellence in Research

Ms. Han-Zhang-Applications of Computer Vision-Excellence in Research

University of Malaya-Chinaย 

Author Profile

Early Academic Pursuits

M. Han Zhang's academic journey began at Shaanxi University of Science and Technology in Xiโ€™an, China, where she pursued a Bachelor of Arts in English from September 2013 to June 2017. During her undergraduate studies, she developed a robust foundation in the English language, literature, and linguistics. Her passion for teaching and linguistics was evident early on, as she actively engaged in various academic activities and projects that honed her skills in these areas. The comprehensive curriculum and the vibrant academic environment at Shaanxi University played a crucial role in shaping her future academic and professional endeavors. Ms. Han Zhang's academic journey commenced with a Bachelor of Arts degree in English from Shaanxi University of Science and Technology, Xi'an, China. This foundational education laid the groundwork for her subsequent pursuits in English language teaching and research.

Professional Endeavors

Following her undergraduate studies, Ms. Han Zhang ventured into the realm of English language education, pursuing a Master of Arts in English Language Teaching and TESOL Studies at the University of Southampton, UK. This experience enriched her understanding of language pedagogy and prepared her for more advanced academic endeavors.

Contributions and Research Focus

As a Ph.D. candidate at the University of Malaya, Ms. Han Zhang focuses her research on Teaching English as a Second Language (TESOL), with a specialization in Assessment in Language. Her work delves into the intricacies of formative assessment in K-12 English as a Foreign Language Education, aiming to provide valuable insights for educators and policymakers in improving language learning outcomes.

From healthcare to retail, entertainment to agriculture, the applications of computer vision are vast and varied. Each year, this award honors those who push the boundaries of what is possible, whether through advancements in medical imaging for diagnosis and treatment, precision agriculture for sustainable food production, or immersive augmented reality experiences that redefine entertainment.

Accolades and Recognition

Ms. Han Zhang's dedication to her academic pursuits has not gone unnoticed. She has received recognition for her scholarly contributions, including the publication of a paper in Heliyon, a testament to the quality and impact of her research in the field of language education.

Our esteemed panel of judges evaluates nominees based on their innovation, impact, and potential for positive change. Whether it's improving road safety through intelligent transportation systems or enhancing accessibility for individuals with disabilities, the possibilities with computer vision are limitless. Through this award, we aim to spotlight the visionaries who are driving progress and shaping the future through the lens of computer vision.

Impact and Influence

Through her research and academic endeavors, Ms. Han Zhang has made significant contributions to the field of TESOL and language assessment. Her work has the potential to influence pedagogical practices and educational policies, ultimately enhancing the quality of language instruction and learning experiences for students worldwide.

The Computer Vision Award is not only a celebration of technological achievement but also a testament to the creativity and ingenuity of individuals and organizations around the globe. It is a platform for recognizing excellence, fostering collaboration, and inspiring the next generation of innovators to harness the power of computer vision for the betterment of society.

Legacy and Future Contributions

As Ms. Han Zhang continues her academic journey and completes her Ph.D., she is poised to leave a lasting legacy in the field of English language education. Her rigorous research, dedication to excellence, and passion for teaching and learning are indicative of her potential to make enduring contributions to the advancement of language education theory and practice. With her expertise and commitment, Zhang aims to continue shaping the future of TESOL and fostering positive change in language education globally.

Notable Publication

Human Pose Estimation

Introduction of Human Pose Estimation

Human Pose Estimation research is a pivotal area within computer vision that focuses on the accurate localization and tracking of human body key points and joints in images and videos. This technology has far-reaching applications, including gesture recognition, action analysis, sports analytics, and healthcare, making it an essential field in understanding human movements and interactions with machines.

Subtopics in Human Pose Estimation:

  1. 2D Human Pose Estimation: Researchers work on algorithms that can estimate the 2D coordinates of key body joints in images or video frames, allowing for applications like human-computer interaction and motion analysis.
  2. 3D Human Pose Estimation: This subfield involves estimating the three-dimensional positions of body keypoints, enabling applications in virtual reality, augmented reality, and biomechanics.
  3. Real-Time Pose Estimation: The development of real-time and low-latency pose estimation methods that can operate efficiently on embedded devices, essential for applications like robotics and gaming.
  4. Multi-Person Pose Estimation: Researchers tackle the challenge of estimating the poses of multiple individuals in crowded scenes or group settings, facilitating applications in surveillance and social analysis.
  5. Pose Estimation for Healthcare: Human pose estimation is applied in healthcare for posture analysis, fall detection, and rehabilitation monitoring, assisting in patient care and physical therapy.

Human Pose Estimation research continues to advance our understanding of human movement and interaction with technology, enabling a wide range of applications across various domains. These subtopics represent the key directions within this dynamic field.

Introduction Object Detection and Recognition: Object Detection and Recognition is a vibrant and evolving field of computer vision and artificial intelligence, dedicated to the automated identification and localization of objects
Introduction Image Processing and Enhancement: Image Processing and Enhancement is a pivotal domain within the realm of computer vision and digital imaging. This field is dedicated to the development of
Introduction of Computer Vision for Robotics and Autonomous Introduction: Computer Vision for Robotics and Autonomous Systems is a multidisciplinary field at the intersection of computer vision, robotics, and artificial intelligence.
Introduction of 3D Computer Vision 3D Computer Vision is a dynamic and interdisciplinary field that aims to enable machines to perceive and understand the three-dimensional structure of the world from
Introduction of Medical Image Analysis Medical Image Analysis is a critical and rapidly evolving field that harnesses the power of computer vision and machine learning to extract valuable insights from
Introduction of Video Analysis Video Analysis and Understanding is a dynamic and interdisciplinary field that aims to develop algorithms and techniques for extracting meaningful information from video data. It plays
Introduction of Deep Learning for Computer Vision Deep Learning for Computer Vision is at the forefront of modern artificial intelligence, revolutionizing the way machines perceive and interpret visual information. It
Introduction of Applications of Computer Vision Applications of Computer Vision represent a diverse and ever-expanding landscape of practical uses for visual data analysis and interpretation. Computer vision technology has transitioned
Introduction of Human-Computer Interaction Introduction: Human-Computer Interaction (HCI) research is a multidisciplinary field that focuses on understanding and improving the interaction between humans and technology. It explores how users interact
Introduction of Biometrics and Security Biometrics and Security research is dedicated to the development of cutting-edge technologies that leverage unique physiological or behavioral characteristics of individuals for identity verification and