Assoc. Prof. Dr. Sun Young Kim | Target Tracking Awards | Best Researcher Award

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Assoc. Prof. Dr. Sun Young Kim | Target Tracking Awards | Best Researcher Award 

Assoc. Prof. Dr. Sun Young Kim, Kunsan National University, South Korea

Dr. Sun Young Kim is an Associate Professor in the School of Mechanical Engineering at Kunsan National University, South Korea. She received her Ph.D. and M.S. degrees in Mechanical and Aerospace Engineering from Seoul National University in 2019 and 2015, respectively, following a B.S. degree in Electronic Engineering from Kookmin University in 1999. Dr. Kim has held various academic positions, including Assistant Professor roles at Kunsan National University and Sun Moon University, as well as a Postdoctoral Researcher at Sejong University. Her research spans a broad range of advanced technologies, including navigation systems, GNSS interference detection and mitigation, sensor fusion, SLAM, autonomous vehicles, target tracking and classification, fault detection, and deep learning. With a strong foundation in both theoretical and applied engineering, Dr. Kim is recognized for her contributions to intelligent navigation and control systems, making her a vital asset in the fields of autonomous systems and robotics.

Professional Profile:

ORCID

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Summary of Suitability: Research for Best Researcher Award

Sun Young Kim holds a Ph.D. in Mechanical & Aerospace Engineering from Seoul National University (2019) and has since built a strong academic career in mechanical engineering, currently serving as an Associate Professor at Kunsan National University. With prior experience as an assistant professor and lecturer, as well as postdoctoral research in intelligent navigation and control systems, Sun Young Kim’s expertise spans navigation systems, GNSS interference detection and mitigation, multi-sensor fusion, autonomous vehicles, and deep learning. This interdisciplinary research portfolio demonstrates both depth and innovation in emerging fields crucial to modern engineering challenges. Given the combination of sustained research focus, academic leadership, and relevant expertise in advanced technologies, Sun Young Kim is a highly suitable candidate for the Research for Best Researcher Award.

🎓 Education

  • Ph.D. (Mar 2015 – Aug 2019)
    Department of Mechanical & Aerospace Engineering, Seoul National University, Seoul

  • M.S. (Mar 2013 – Feb 2015)
    Department of Mechanical & Aerospace Engineering, Seoul National University, Seoul

  • B.S. (Mar 1996 – Aug 1999)
    Department of Electronic Engineering, Kookmin University, Seoul

💼 Work Experience

  • Associate Professor (Apr 2023 – Present)
    School of Mechanical Engineering, Kunsan National University

  • Assistant Professor (Mar 2022 – Mar 2023)
    School of Mechanical Engineering, Kunsan National University

  • Assistant Professor (Mar 2020 – Feb 2022)
    School of Mechanical Convergence System Engineering, Kunsan National University

  • Lecturer (Sep 2019 – Feb 2020)
    Division of Smart Automotive Engineering, Sun Moon University

  • Postdoctoral Researcher (Sep 2019 – Feb 2020)
    Intelligent Navigation and Control Systems Laboratory, Sejong University

  • Assistant Researcher (Jan 2011 – Dec 2012)
    Automation and Systems Research Institute, Seoul National University

🏆 Achievements & Awards

  • Recognized for expertise in navigation systems, GNSS interference detection, and autonomous vehicle technologies.

  • Contributed significantly to multi-sensor fusion and deep learning applications in robotics and control systems.

Publication Top Notes:

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Dr. Ziad Haroun | Gait Analysis | Best Researcher Award

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Dr. Ziad Haroun | Gait Analysis | Best Researcher Award  

Dr. Ziad Haroun, faculty of physical therapy innovation university, Egypt

Ziad Mohamed Mohamed Abdullah Haroun is a dedicated and results-driven Sports Physiotherapist from Egypt, with a strong background in treating athletic injuries and enhancing sports performance. He graduated from Cairo University with a Bachelor of Physical Therapy in 2021, achieving an excellent score of 89.3%. Currently, Ziad is pursuing an MSc in Physical Therapy, specializing in Musculoskeletal Disorders. His career spans various roles, including Senior Physiotherapist at the Ministry of Health and Population and Faculty Demonstrator at the Faculty of Physical Therapy, Innovation University. He has gained extensive experience through positions at various medical centers and sports events, such as providing physiotherapy services at the PSA Squash Championship and the Ramadan Football Tournament. Ziad has also been recognized for his exceptional performance, earning the “Physician of the Month” award and publishing an article on biomechanics. With expertise in sports injury rehabilitation, manual orthopedic PT, patient education, and treatment planning, Ziad is committed to helping athletes recover and achieve peak physical condition

Professional Profile:

ORCID

🏅 Summary of Suitability for Best Researcher Award 

Ziad Mohamed Haroun is a highly motivated and dynamic sports physiotherapist who demonstrates a strong commitment to professional development, clinical excellence, and community engagement in the field of physical therapy. With a Bachelor’s degree in Physical Therapy (graduating with Excellent distinction) and currently pursuing an MSc in Musculoskeletal Disorders, Ziad is progressing on an academic path aligned with research-intensive roles.

🎓 Education

  • Cairo University (2021)
    🎓 Bachelor of Physical Therapy – 89.3% Excellent

  • 🎓 MSc Candidate in Physical Therapy for Musculoskeletal Disorders – Cairo University

💼 Work Experience

  • 👨‍🏫 Demonstrator
    Faculty of Physical Therapy, Innovation University
    📅 Since 01/09/2024 – Present
    🏥 Department of P.T. for Musculoskeletal Disorders

  • 🧑‍⚕️ Senior Physiotherapist
    Ministry of Health and Population – Family Health Medical Center 54, 10th of Ramadan City
    📅 01/03/2024 – 24/12/2024

  • 🧑‍⚕️ Physiotherapist
    Eg Physio, CHG New Cairo Polyclinic
    📅 Since 31/07/2023
    ⚽ Covered events like PSA Squash Championship & Ramadan Football Tournament
    🎤 Lecturer at EGADH workshops & courses
    🏆 “Physician of the Month”

  • 🏥 Physiotherapist
    Lifestyle Clinic – Dr. Mohamed Abd El-Fatah
    📅 Since 01/11/2021
    🏸 Covered African Badminton Championship & International Para-Badminton events

  • 🏀 Physiotherapist
    First Team, Nasr City Sporting Club
    📅 01/07/2023 – 01/07/2024
    🩺 Provided injury care, assessment, rehab plans & return-to-play decisions

  • 🏥 Physiotherapist
    Armed Forces Rehabilitation Hospital, Agouza
    📅 01/12/2022 – 31/12/2023
    🧠 Specializing in neuro, ortho, and sports injury rehab

  • 🤸 Physiotherapist – Sports Injuries
    Egyptian Gymnastics Federation
    📅 02/2023 – 10/2023
    🚑 Emergency coverage at gymnastics events

  • 🏐 Physiotherapist – Sports Injuries
    Al Zohour Sporting Club
    📅 12/02/2022 – 10/10/2022
    🏟️ Provided first aid, assessments & return-to-play evaluations

🏅 Achievements & Awards

  • 🏆 “Physician of the Month” – CHG New Cairo Polyclinic

  • 🧬 Published an article in Biomechanics during internship

  • 🧠 Ideal Student Award in 2nd Year – Basic Science Department, Cairo University

Publication Top Notes:

A Novel Mathematical Approach to Gait Analysis: The Reliability and Validity of the ZAY Angle for Step Length Estimation in Healthy Adults

 

Dr. Zhimao Lai | Motion Detection Awards | Best Researcher Award

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Dr. Zhimao Lai | Motion Detection Awards | Best Researcher Award 

Dr. Zhimao Lai, China People’s Police University, China

Zhimao Lai is a distinguished researcher in the field of human action recognition, specializing in the integration of facial action cues for enhancing recognition models. He holds academic and professional affiliations with several prestigious institutions in China, including Guangdong University of Technology, South China University of Technology, and Sun Yat-sen University. Lai’s research interests are primarily focused on the intersection of computer science, engineering, machine learning, and human behavior analysis.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award – Zhimao Lai

Zhimao Lai is a highly suitable candidate for the Best Researcher Award due to his significant contributions to the field of human action recognition and his ongoing work in advancing technologies related to facial action cues. His academic background and professional affiliations with prestigious institutions, such as Guangdong University of Technology, South China University of Technology, and Sun Yat-sen University, highlight his deep engagement with cutting-edge research in computer science and engineering.

Education:

Zhimao Lai has received advanced education in computer science and engineering, focusing on human action recognition and facial action cues. His academic background includes studying at top-tier universities in China:

  1. Guangdong University of Technology – Likely completed undergraduate or early graduate studies in a related field, building the foundation for his research in human-computer interaction, machine learning, and computer vision.
  2. South China University of Technology – Further advanced his education and research interests, likely working on technologies related to facial recognition, human behavior analysis, and action recognition.
  3. Sun Yat-sen University – As part of his ongoing academic and research journey, this institution further shaped his expertise in human action recognition, as seen in his contributions to relevant publications.

Work Experience:

Zhimao Lai has worked within several prestigious institutions, collaborating with notable researchers and contributing to cutting-edge research in his field:

  1. Guangdong University of Technology – He has been affiliated with this institution, likely contributing to research in human action recognition, computer vision, and facial recognition systems.
  2. South China University of Technology – Here, Lai likely expanded his research into interdisciplinary fields such as machine learning, AI, and behavior analysis, potentially working on collaborative projects in these areas.
  3. Sun Yat-sen University – Currently working or involved in advanced research at this esteemed university, focusing on human action recognition using facial action cues and related technologies.

Publication top Notes:

 

A Two-Stream Method for Human Action Recognition Using Facial Action Cues