Prof. Dr. Hsien-Huang Wu | Automation Awards | Best Researcher Award

Prof. Dr. Hsien-Huang Wu | Automation Awards | Best Researcher Award

Prof. Dr. Hsien-Huang Wu, National Yunlin University of Science and Technology, Taiwan

Dr. Hsien-Huang Wu is a Distinguished Professor in the Department of Electrical Engineering at National Yunlin University of Science and Technology, Douliu, Taiwan. He received his B.S. and M.S. degrees in Telecommunication Engineering from National Chiao Tung University in 1982 and 1986, respectively, and earned his Ph.D. in Electrical and Computer Engineering from the University of Arizona in 1993. His research focuses on artificial intelligence and computer vision, particularly for automated optical inspection (AOI) applications. With extensive industrial collaboration, Dr. Wu has worked with over 50 companies to develop innovative systems for automated inspection and production, bridging academic research and practical implementation.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award – Dr. Hsien-Huang Wu

Dr. Hsien-Huang Wu stands out as a leading figure in the application of artificial intelligence and computer vision to industrial inspection and measurement systems. With a career spanning over three decades and a Ph.D. from the University of Arizona, he currently serves as a Distinguished Professor at the National Yunlin University of Science and Technology, Taiwan—an acknowledgment of his academic stature and impact.

🎓 Education

  • 📍 B.S. in Telecommunication Engineering
    National Chiao Tung University, Hsinchu, Taiwan – 1982

  • 📍 M.S. in Telecommunication Engineering
    National Chiao Tung University, Hsinchu, Taiwan – 1986

  • 🌎 Ph.D. in Electrical and Computer Engineering
    University of Arizona, Tucson, USA – 1993

💼 Work Experience

  • 👨‍🏫 Distinguished Professor
    Department of Electrical Engineering, National Yunlin University of Science and Technology (NYUST), Douliu, Taiwan
    Current

🌟 Key Achievements

  • 🤖 Pioneering research in artificial intelligence and computer vision for automated optical inspection (AOI)

  • 🏭 Collaborated with 50+ companies to develop intelligent inspection and production automation systems

  • 🔬 Leader in applying cutting-edge AI techniques to real-world industrial measurement and inspection challenges

  • 📚 Significant contributor to academic and applied research in electrical and computer engineering

🏅 Awards & Honors

  • 🥇 Recognized as a Distinguished Professor at NYUST

  • 🏆 Multiple accolades and recognitions for industry collaboration and academic excellence

  • 🧠 Honored for impactful contributions to the field of automated inspection systems

Publication Top Notes:

Prototype design of an intelligent Internet of Things system combined green energy storage device

Distribution Analysis of Dental Plaque Based on Deep Learning

Automatic Optical Inspection for steel golf club

Dr. Diego Guffanti | Robotics Awards | Best Researcher Award

Dr. Diego Guffanti | Robotics Awards | Best Researcher Award 

Dr. Diego Guffanti, UTE University, Ecuador

Dr. Diego Andrés Guffanti Martínez is an Ecuadorian researcher and professor specializing in robotics, machine learning, and biomechanical analysis. He holds a B.S. in Electronics, Automation and Control from the Universidad de las Fuerzas Armadas ESPE (2014), an M.S. in Electromechanical Engineering (2017), and a Ph.D. in Automatics and Robotics (2021), both from the Universidad Politécnica de Madrid (UPM). Currently serving as a professor in the Mechatronics Engineering department at UTE University in Ecuador, he also directs the ROBOGAIT project—an advanced mobile robotic platform for human gait analysis. He has held postdoctoral and research positions at UPM’s Centre for Automation and Robotics (CAR-CSIC), contributing significantly to non-invasive robotic systems for medical diagnostics and rehabilitation. With multiple peer-reviewed publications in leading journals such as Sensors, IEEE RA-L, and Robotics and Autonomous Systems, Dr. Guffanti’s work focuses on integrating 3D vision, mobile robotics, and supervised learning for real-world human movement analysis. He is also Editor-in-Chief of the journal Enfoque UTE and continues to drive innovation in human-centered robotic technologies.

Professional Profile:

GOOGLE SCHOLAR

SCOPUS

ORCID

Summary of Suitability for Best Researcher Award – Dr. Diego Andrés Guffanti Martínez

Dr. Diego Andrés Guffanti Martínez is a dynamic and impactful researcher in the fields of robotics, mechatronics, and biomechanical systems. His academic and professional trajectory is marked by a blend of innovative project leadership, international collaboration, and dedication to both research and education.

🎓 Education

  • 🧑‍🎓 B.S. in Electronics, Automation & Control
    Universidad de las Fuerzas Armadas ESPE, Ecuador (2008–2013)

  • ⚙️ M.S. in Electromechanical Engineering
    Universidad Politécnica de Madrid, Spain (2016–2017)

  • 🤖 Ph.D. in Automatics and Robotics
    Universidad Politécnica de Madrid, Spain (2018–2021)

  • 🧾 Certified SolidWorks CSWA
    Quito, Ecuador (2025–Present)

💼 Work Experience

  • 🏫 Professor
    UTE University, Mechatronics Engineering Dept., Ecuador (2022–Present)

  • 🔬 R2 Researcher (Postdoc)
    Polytechnic University of Madrid (Mar 2022 – Oct 2022)

  • 🤖 Postgraduate Researcher
    Polytechnic University of Madrid, ROMERIN project (Oct 2020 – Jun 2021)

  • 🎓 Professor
    Equinoccial Technological University (2017–2018)

  • 🧮 Professor (Mathematics)
    University of the Armed Forces – ESPE (2014–2016)

  • 🛠️ Designer
    ALBAN Electrificaciones y Telecomunicaciones (2014)

  • 🧰 Automation Designer
    SIELMEC – Automatización y Control (2013)

🏆 Achievements & Awards

  • 📚 Editor-in-Chief, Enfoque UTE Journal

  • 🤖 Director, ROBOGAIT UTE Project

  • 🎖️ Doctoral Fellowship
    Instituto de Fomento al Talento Humano, SENESCYT (2018)

  • 🥇 Master’s Fellowship
    Instituto de Fomento al Talento Humano, SENESCYT (2016–2017)

  • 🧠 Top of Graduating Class
    Instituto Julio Moreno Espinosa, Mathematical Physicist (2008)

Publication Top Notes:

Comparison of Two System Identification Approaches for a Four-Wheel Differential Robot Based on Velocity Command Execution

Technological Advancements in Human Navigation for the Visually Impaired: A Systematic Review

A Comprehensive Review of Vision-Based Sensor Systems for Human Gait Analysis

Robotics‐driven gait analysis: Assessing Azure Kinect’s performance in in‐lab versus in‐corridor environments

Supervised learning for improving the accuracy of robot-mounted 3D camera applied to human gait analysis

RoboGait: sistema robótico no invasivo para el análisis de la marcha humana

Performance of a Mobile 3D Camera to Evaluate Simulated Pathological Gait in Practical Scenarios