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

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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:

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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

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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:

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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

 

Mr. Joel Adams | Automation | Best Researcher Award

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Mr. Joel Adams | Automation | Best Researcher Award 

Mr. Joel Adams, Florida International University, United States

Joel Adams is a robotics researcher and Ph.D. candidate in Mechanical Engineering at Florida International University, specializing in autonomous mobile and manipulator systems. With extensive experience in radiological surveillance, autonomous mission planning, and multi-robot coordination, he has developed innovative solutions integrating sensor technologies such as LiDAR, depth cameras, and IMUs. His expertise includes robotics middleware (ROS1, ROS2), simulation tools (Gazebo, PyBullet), and advanced programming in C++, Python, and MATLAB. As a Research Assistant at the Applied Research Center since 2019, he has contributed to cutting-edge projects in autonomous system development, multi-robot collaboration, and real-world testing of robotic platforms.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award

Joel Adams appears to be a strong candidate for the Best Researcher Award, particularly if the award recognizes contributions in robotics, autonomous systems, and applied research in radiological surveillance. His work aligns well with advanced robotics, AI-driven mission planning, and real-world applications in nuclear site monitoring.

🎓 Education

  • Florida International University
    • Ph.D. in Mechanical Engineering (Expected Summer 2025) 🎯 (GPA: 3.87)
    • Master of Science in Mechanical Engineering (Summer 2024) 🛠️ (GPA: 3.87)
    • Bachelor of Science in Mechanical Engineering (Honors College) (Fall 2019) 🏅 (GPA: 3.72)
  • Miami Dade College
    • Associate in Arts Degree (Highest Honors) (Summer 2015) 🏆 (GPA: 3.95)

💼 Work Experience

  • Applied Research Center, Florida International University (March 2019 – Present)
    Research Assistant
    • 🚀 Developed autonomous systems for radiological surveillance in nuclear sites, integrating LiDAR, depth cameras, and IMUs.
    • 🧠 Designed multi-robot mission planning solutions using network bridges and behavior-tree-based task allocation.
    • 🛠️ Conducted testing in simulation (Gazebo, PyBullet) and real-world robotic platforms for validation.

🏆 Achievements, Awards & Honors

  • 🎖️ Highest Honors Graduate – Miami Dade College
  • 🏅 Honors College Graduate – Florida International University
  • 🤖 Developed autonomous systems for radiological surveillance, enhancing safety in nuclear environments
  • 🏆 Contributed to multi-robot coordination research, advancing mission planning strategies in robotics
  • 🏅 Published research contributions in robotics intelligence and autonomous system optimization

Publication Top Notes:

A Behavioral Robotics Approach to Radiation Mapping Using Adaptive Sampling

Dr. Marzena Miesikowska | Automation Robotics Award | Best Researcher Award

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Dr. Marzena Miesikowska | Automation Robotics Award | Best Researcher Award

Dr. Marzena Miesikowska, Kielce University of Technology, Poland 

Marzena Mięsikowska is an Assistant Professor at Kielce University of Technology in Poland. She holds a PhD in Automation and Robotics and a Master’s degree in Computer Science, both from Kielce University of Technology. Her research interests encompass automation, robotics, information systems, and the analysis of acoustic and speech signals, particularly for drone applications and patient rehabilitation. She has completed a National Science Centre project and participated in the “Future Technologies for Defense” project by the National Centre for Research and Development. Mięsikowska has published multiple books and book chapters and holds a patent for a voice quality assessment method. She is also involved in editorial work and various academic collaborations.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award: Marzena Mięsikowska

Dr. Marzena Mięsikowska is an Assistant Professor at Kielce University of Technology with a robust background in automation and robotics, information systems, and acoustic signal analysis. Her diverse expertise spans drone acoustic signal analysis, speech signal processing, and metrology.

Education:

  • Ph.D. in Automation and Robotics
    Kielce University of Technology, Kielce, Poland
  • Master of Computer Science
    Kielce University of Technology, Kielce, Poland

Work Experience:

  • Assistant Professor
    Kielce University of Technology, Kielce, Poland
    Current Position
  • Metrologist
    Central Office of Measures, Warsaw, Poland
    Past Position

Publication top Notes:

Analysis of Polish Vowels of Tracheoesophageal Speakers

Discriminant analysis of voice commands in a car cabin | Analiza dyskryminacyjna komend głosowych w kabinie pojazdu

Analysis of Sound Levels and Speech Intelligibility in the Presence of X4 Unmanned Aerial Vehicle in External Environmental Conditions

Discriminant analysis of voice commands in the presence of an unmanned aerial vehicle

Speech intelligibility in the presence of X4 unmanned aerial vehicle

Dr. Yasir AlKubaisi | Robotics | Best Researcher Award

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Dr. Yasir AlKubaisi | Robotics | Best Researcher Award

Dr. Yasir AlKubaisi ,Dubai Academic Health Corporation, United Arab Emirates

Dr. Yassir Mahmood Al Kubaisi is an accomplished Electrical Engineer, born in Baghdad, Iraq, in 1971. He holds a Ph.D. in Electrical Engineering from Universiti Putra Malaysia (UPM), which he obtained in 2020. His dissertation focused on a “Gravitational Energy Harvesting System Based on Multistage Braking Technique for Multilevel Elevator Car Parking Building.” Dr. Al Kubaisi also earned his Master’s degree in Computer Engineering from the University of Technology in Baghdad in 2005 and his Bachelor’s degree in Electrical and Computer Engineering from the same institution in 1994.Dr. Al Kubaisi has extensive professional experience, currently serving as a Sustainable Engineer in the Corporate Environmental Health & Safety Department at Dubai Academic Health Corporation since 2017. His work involves studying and analyzing sustainable management practices, proposing solutions, and ensuring compliance with LEED and other sustainability requirements. He has spearheaded innovative projects such as the world’s first sustainable blood donation bus, the “Green Pavilion” project at GITEX 2019, and the “Green House” project at Al-Mizhar Medical Center, among others. His efforts have led to significant energy savings and have been recognized with several awards and honors.

 

Professional Profile

Education:

  • 🎓 PhD: University Putra Malaysia (UPM) – Serdang, Malaysia, Faculty of Engineering, Electrical Engineering, May 2020
    Dissertation: “Gravitational Energy Harvesting System Based on Multistage Braking Technique for Multilevel Elevator Car Parking Building”
    Committee: Professor Dr. Wan Zuha Wan Hasan (Chair), Professor Dr. Mohd. Zainal Abdul Kadir, Associate Professor Dr. Samsul Bahari B Mohd Noor
  • 🎓 MSc: University of Technology – Baghdad, Iraq, Computer Engineering, May 2005
    Thesis: “Design and Implementation Of Security System”
    Advisor: Professor Dr. Adukareem Abdulrahman
  • 🎓 BSc: University of Technology – Baghdad, Iraq, Electrical and Computer Engineering, Jun 1994

Research Interests:

  • 🌿 Sustainable and Renewable Energy
  • ⚡ Electrical and Control Engineering
  • 🤖 Robotics and Automation

Professional Experience:

  • 🌐 Corporate Environmental Health & Safety Dept., Dubai Academic Health Corporation, Dubai (2017 – Present):
    • Sustainable engineer in sustainable management section
    • Proposed and implemented innovative projects, such as the “Sustainable Blood Donation bus” and “Green Pavilion” at GITEX 2019
    • Conducted extensive studies and participated in various energy-saving projects
  • 🏥 Engineering Dept., Dubai Health Authority, Dubai (2009 – 2017):
    • Certified lecturer in sustainability and AI workshops
    • Directed construction operations, site supervision, and quality control
    • Conducted significant studies on load distribution and energy savings
  • 💻 Engineering Dept., Higher Education Computer Center, Iraq (1994 – 2007):
    • Oversaw design and implementation of technical solutions
    • Managed instructional designers and collaborated on broad solution pitches

Honors and Awards:

  • 🏆 Certification of Appreciation in various fields (2020, 2019, 2017, 2014)
  • 🌱 “Let’s Make This Summer Green 2020”
  • 💉 Improved blood donation service – Dubai Blood Donation Center 2019
  • 👏 Recognized for contributions to Corporate Environmental Health & Safety Dept. 2019
  • 🏅 Honored for efforts and cooperation in multiple departments

Corporate Social Responsibility:

  • 🦠 Volunteered for 6 months in the Covid-19 screening campaign
  • 💡 Suggested projects to reduce the spread of the virus

Publications Notes:📄

Maximizing solar energy utilization and controlling electrical consumption in domestic water heaters by integrating with aluminum reflector

Identifying the best forearm muscle to control soft robotic glove system by using a single sEMG channel

Battery Backup Power System for Electrical Appliances with Two Options of Primary Power Sources

Review of gravitational electric energy and application perspectives on modern buildings

Control mechanism of automated dropper system for electric power generation

Investigation on self energized automated multi levels car parking system