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:

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

Prof. Dr. Nelson Gutierrez | Automation Awards | Best Researcher Award

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Prof. Dr. Nelson Gutierrez | Automation Awards | Best Researcher Award 

Prof. Dr. Nelson Gutierrez, UTE University, Ecuador

Dr. Nelson Ramiro Gutiérrez Suquillo is an Ecuadorian researcher and academic known for his interdisciplinary work at the intersection of robotics, renewable energy, and intelligent industrial systems. He serves as a research lecturer at Universidad UTE since 2015 and is currently pursuing a Ph.D. in Robotics. He holds master’s degrees in Renewable Energies & Energy Sustainability and Materials Science & Technology, as well as a bachelor’s degree in Electronic Engineering and Information Networks. His research spans AI-driven diagnostics, mobile robotics for humanitarian applications, sustainable mechanical design, and advanced signal processing. With publications in journals such as Sensors, Salud, Ciencia y Tecnología, INCISCOS, and Enfoque UTE, his work demonstrates a strong commitment to practical, impactful innovation. Dr. Gutiérrez combines technical depth with applied focus, contributing significantly to Ecuador’s academic and technological landscape through research, teaching, and development projects.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award – Nelson Ramiro Gutiérrez Suquillo

Nelson Ramiro Gutiérrez Suquillo stands out as a versatile and impactful researcher whose work bridges robotics, renewable energy, AI-driven diagnostics, and sustainable engineering. His strong academic background, ongoing PhD in robotics, and dual master’s degrees in renewable energy and materials science demonstrate a deep and interdisciplinary technical foundation.

🎓 Education

  • 🧠 Ph.D. in Robotics (Ongoing) – Focused on mobile robotics, system identification, and intelligent systems

  • ⚡ Master’s in Renewable Energies & Energy Sustainability – Expertise in sustainable technologies and systems

  • 🔬 Master’s in Materials Science & Technology – Specialized in material behavior and simulation

  • 📡 Bachelor’s in Electronic Engineering and Information Networks – Strong foundation in electronics and industrial communication

💼 Work Experience

  • 👨‍🏫 Docente Investigador (Research Lecturer) – Universidad UTE (Since 2015)
    Leads research in robotics, AI for diagnostics, and energy sustainability

  • 🤖 Collaborator on applied robotics projects, including mobile platforms and humanitarian demining

  • ⚙️ Industrial systems innovator: developed prototypes for diagnostics and sustainable machinery

🏆 Achievements & Publications

  • 📚 Published in Sensors, Salud, Ciencia y Tecnología, INCISCOS, and Enfoque UTE

  • 🔍 Contributions include:

    • AI for predictive maintenance 🧠

    • System modeling of differential robots 🤖

    • Sustainable mechanical systems 🌱

    • Wavelet-based sEMG signal processing 🧾

    • ABS brake simulation using finite elements 🛞

🥇 Awards & Honors

  • 🏅 Recognized at national and institutional levels for contributions to sustainable innovation and applied robotics

  • 🧑‍🔬 Active leader in Ecuador’s academic and research ecosystem, mentoring students and spearheading interdisciplinary projects

Publication Top Notes:

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

Optimization of Fault Prediction by A.I. in Industrial Equipment: analysis of the operating parameters of a Bench Grinder

Application of Model-Based Design for Filtering sEMG Signals Using Wavelet Transform

Diseño de Robot Móvil para tareas de Desminado Humanitario

Análisis por el método de elementos finitos del comportamiento de las pastillas de freno ABS con base de acero y zinc discretizando el elemento continuo utilizando software CAE

Analysis by the Finite Element Method of the Behavior of the Brake Pads Using CAE Software

Diseño y construcción de un prototipo para la extracción continua de aceite de la semilla Sacha Inchi con un proceso de prensado en frío

 

Prof. Chi-Cheng Cheng | Visual Servo Awards | Best Researcher Award

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Prof. Chi-Cheng Cheng | Visual Servo Awards | Best Researcher Award 

Prof. Chi-Cheng Cheng, National Sun Yat-sen University, Taiwan

Chi-Cheng Cheng is a Professor in the Department of Mechanical and Electro-Mechanical Engineering at National Sun Yat-Sen University, Taiwan. He holds a Doctor of Science degree in Mechanical Engineering from the Massachusetts Institute of Technology, USA, and both a Master’s and Bachelor’s degree in Power Mechanical Engineering from National Tsing Hua University, Taiwan. Since joining National Sun Yat-Sen University, he has held several key academic and administrative positions, including Vice Dean of the College of Engineering, Chairman of the Department of Mechanical and Electro-Mechanical Engineering, and Director of the Engineering Technology Research & Promotion Center. He has also served as a Visiting Professor at Simon Fraser University and a Visiting Scholar at the University of British Columbia, Canada. His research interests span system dynamics and control, machine vision, intelligent robots, mechatronics, and man-machine interfaces. Throughout his career, he has received numerous awards, including the Excellent Teaching Award and the Excellent Research Award, recognizing his contributions to academia and industry-academia collaboration.

Professional Profile:

SCOPUS

Suitability of Dr. Chi-Cheng Cheng for the Best Researcher Award

Dr. Chi-Cheng Cheng is a highly distinguished researcher and professor in the Department of Mechanical and Electro-Mechanical Engineering at National Sun Yat-Sen University, Taiwan. With a Doctor of Science in Mechanical Engineering from MIT (1991), he has over three decades of academic and research experience, holding numerous leadership roles, including Vice Dean of the College of Engineering, Chairman of the Department, and Director of the Engineering Technology Research & Promotion Center.

🎓 Education

  • 🏛 Doctor of Science in Mechanical Engineering – Massachusetts Institute of Technology, USA (April 1991)
  • 🏛 Master of Science in Power Mechanical Engineering – National Tsing Hua University, Taiwan (June 1983)
  • 🏛 Bachelor of Science in Power Mechanical Engineering – National Tsing Hua University, Taiwan (June 1981)

💼 Work Experience

  • 👨‍🏫 Professor, Dept. of Mechanical and Electro-Mechanical Engineering (Feb. 2003–Present) – National Sun Yat-Sen University
  • 👨‍🏫 Professor, College of General Education (Sep. 2003–Jul. 2024) – National Sun Yat-Sen University
  • 🏛 Vice Dean, College of Engineering (Aug. 2017–Jul. 2020) – National Sun Yat-Sen University
  • 🔬 Director, Engineering Technology Research & Promotion Center (Aug. 2017–Jul. 2020) – National Sun Yat-Sen University
  • 🎓 Chairman, Dept. of Mechanical and Electro-Mechanical Engineering (Aug. 2014–Jul. 2017) – National Sun Yat-Sen University
  • 🌍 Visiting Professor, School of Engineering Science (Feb. 2009–Jul. 2009) – Simon Fraser University, Canada
  • 🌏 Dean, Office of International Affairs (Feb. 2007–Jan. 2009) – National Sun Yat-Sen University
  • ⚙️ Adjunct Professor, Institute of Undersea Technology (Aug. 2003–Jul. 2014) – National Sun Yat-Sen University
  • 📡 Visiting Scholar, Dept. of Electrical and Computer Engineering (Aug. 2002–Dec. 2002) – University of British Columbia, Canada
  • 🔬 Director, Div. of Projects Management, Office of Research Affairs (Sep. 1998–Jul. 2002) – National Sun Yat-Sen University
  • 👨‍🏫 Associate Professor, Dept. of Mechanical and Electro-Mechanical Engineering (Aug. 1991–Jan. 2003) – National Sun Yat-Sen University

🏆 Honors & Awards

  • 🏅 Excellent Teaching Award – National Sun Yat-Sen University (2017, 2018, 2019, 2020)
  • 🎖 Industry-Academy-Research Good Blue-chip Teachers – National Sun Yat-Sen University (2015, 2016)
  • 🏆 Excellent Research Award – National Science Council, Republic of China (1998, 2001, 2002)
  • 🎓 Fellowship of Ministry of Education – Republic of China (1984)
  • 📜 Thesis Award – The Chinese Mechanical Engineers Society (1983)

Publication Top Notes:

A Visually Assistive Guidance System for Visually Impaired Pedestrians Passing Crosswalks

Detection of Hydrogen Bubbles Produced by Corrosion Inhibition of Metal Weldment Using Machine Learning

A Classifier of AMOLED-TFT Defect Images Based on a DNN Ensemble Framework

An Automatic Kiss Camera System Using Deep Neural Network Technique

A Human-Like Intelligent Swing System Using the Machine Vision Approach

Human-like Hitting Strategies for a Ball Bouncing Robot

Night pedestrian detection based on fuzzy reasoning

Prof. Arturo Benayas Ayuso | Smart Automation Awards | Best Researcher Award

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Prof. Arturo Benayas Ayuso | Smart Automation Awards | Best Researcher Award 

Prof. Arturo Benayas Ayuso, Universidad Politécnica de Madrid, Spain

Arturo Benayas Ayuso, born in April 1976, is a highly skilled Naval Architect with a Master’s degree from the Universidad Politécnica de Madrid and is currently pursuing a Ph.D. in Naval Architecture. His Ph.D. research focuses on applying IoT to ship design, shipbuilding, manufacturing, and management. Arturo has extensive professional experience in the naval industry, currently serving as Integration Lead for the “El Cano” platform at NAVANTIA, where he oversees the integration of industry 4.0 technologies in naval shipbuilding. He has previously worked as a FORAN-PLM Technical Account Manager and Solution Architect Associate Manager, leading integration projects for the Spanish Navy, including the S80 submarine program. Fluent in Spanish, English, French, and Portuguese, Arturo has contributed to several conferences, authored publications in shipbuilding and IoT, and co-authored a book chapter on IoT cybersecurity.

Professional Profile:

SCOPUS

Summary of Suitability for Best Researcher Award: Arturo Benayas Ayuso

Professional Background: Arturo Benayas Ayuso has extensive experience in naval architecture, ship design, and industry 4.0 technologies. His expertise spans over two decades, with a strong focus on integrating IoT and PLM (Product Lifecycle Management) systems into naval shipbuilding. As the Platform Integration Lead at NAVANTIA and his previous roles, he has successfully led digitization projects, coordinated large development teams, and managed multi-shipyard collaborations with notable defense projects like the Spanish Navy’s S80 submarine and Royal Navy’s CVF project.

Education:

  • MSc Naval Architect – Universidad Politécnica de Madrid, 2005 (Marine motors specialist).
  • PhD (On-going) – Naval Architect PhD Researcher focusing on “IoT applied to Ship Design, Shipbuilding, Manufacturing, and Ship Management.”

Work Experience:

  1. 2020–Present: Accenture – Tecnilógica
    • Position: PLM Associate Manager, Platform Integration Lead (Naval shipbuilding).
    • Responsibilities:
      • Lead the integration of the “El Cano” platform at NAVANTIA, a platform that incorporates Industry 4.0 principles into naval shipbuilding.
      • Manage a fixed team of 7 members and up to 10 floating members.
      • Define and deploy OOTB software solutions, and create custom requirements for the Spanish Navy’s digitization efforts using Siemens CAD-CAM-CAE-PLM systems.
      • Prepare project tenders, including the economic assessments.
      • Apply Agile methodologies to ensure timely project delivery.
  2. 2005–2020: SENER, Ingeniería y Sistemas, S.A. (Naval Systems Section)
    • Position: Solution Architect Associate Manager / FORAN-PLM Technical Account Manager.
    • Responsibilities:
      • Managed and coordinated the integration of FORAN with Windchill and Teamcenter PLM systems.
      • Supervised integration for key naval projects such as the S80 Submarine Program for the Spanish Navy, BAM Naval Project, and collaborations with Aker Offshore Platform and Royal Navy’s CVF Program.
      • Directed development teams and maintained a neutral integration approach between FORAN and PLM platforms.
      • Led the migration of the Spanish S80P submarine to the new FORAN version and integrated Windchill PLM.
  3. 2003–2004: Infomarine & Infopower Magazines (Internship)
    • Responsibilities:
      • Wrote articles and advertisements for magazines.
      • Improved internal databases and created a new database for InfoEnviro magazine.

Publication top Notes:

Internet of Things Cybersecurity: Blockchain as First Securitisation Layer of an IoT Network

Data management for smart ship or how to reduce machine learning cost in IoS applications

Automated/controlled storage for an efficient mbom process in the shipbuilding managing the iot technology

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

Mrs. Muvvala Kalpana | Automation Award | Best Researcher Award

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Mrs. Muvvala Kalpana | Automation Award | Best Researcher Award

Mrs. Muvvala Kalpana, Vignan’s Institute of Information Technology, India

Mrs. Muvvala Kalpana is currently pursuing a Ph.D. in Antennas at Jawaharlal Nehru Technological University, Kakinada (JNTUK), Andhra Pradesh. With a solid foundation in Electronics and Communications Engineering, he holds an M.Tech in Digital Systems and Computer Electronics from Narasaraopet Engineering College and a B.Tech in Electronics and Communications Engineering from L.B.R. College of Engineering. With 16 years of teaching experience, he has served as an Assistant Professor at Vignan’s Institute of Information Technology, Visakhapatnam, and previously held positions at Raghu Institute of Technology, Sri Sarathi Institute of Engineering and Technology, Kakinada Institute of Engineering and Technology, and Lenora College of Engineering. His teaching expertise spans a range of subjects including Control Systems, Digital Communications, and Artificial Intelligence. His research interests focus on communications, antennas, control systems, and digital circuits. He is known for his strong work commitment, eagerness to learn, adaptability, and positive attitude.

Professional Profile:

Summary of Suitability for Best Researcher Award

Kalpana stands as a highly qualified candidate for the Best Researcher Award based on her comprehensive academic background, vast teaching experience, and numerous research contributions, particularly in the field of antenna design and wireless communication.

Education:

  • Pursuing Ph.D. in Antennas at JNTUK, Kakinada, Andhra Pradesh.
  • M.Tech in Digital Systems and Computer Electronics (D.S.C.E) from Narasaraopet Engineering College, affiliated with J.N.T.U, Kakinada, Andhra Pradesh, with an aggregate of 74% (2008).
  • B.Tech in Electronics and Communication Engineering (E.C.E) from L.B.R. College of Engineering, affiliated with J.N.T.U, Hyderabad, Andhra Pradesh, with an aggregate of 56% (2004).

Work Experience:

  • Assistant Professor at Vignan’s Institute of Information Technology, Visakhapatnam (2022 – Present).
  • Associate Professor at Raghu Institute of Technology, Visakhapatnam (2013 – 2018).
  • Assistant Professor at Sri Sarathi Institute of Engineering and Technology, Nuzvid (2007 – 2013).
  • Assistant Professor at Kakinada Institute of Engineering and Technology, Kakinada (2005 – 2006).
  • Assistant Professor at Lenora College of Engineering, Rampachodavaram (2004 – 2005).

Publication top Notes:

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