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

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

 

Ms. Jingjing Fan | Smart Automation Awards | Best Researcher Award

Ms. Jingjing Fan | Smart Automation Awards | Best Researcher Award

Ms. Jingjing Fan, KUNLUN Digital Technology Co., Ltd. China

Jingjing Fan, a Bachelor of Engineering graduate from Hebei University of Technology in 2011, is currently a Product Manager at Kunlun Digital Technology Co., Ltd. Her expertise lies in the fields of Artificial Intelligence (AI) and the Internet of Things (IoT), with a focus on developing and implementing intelligent IoT platforms for the oil and gas industry. She also specializes in edge intelligence and cloud-edge collaborative technologies, driving innovative solutions that enhance connectivity and efficiency in industrial applications.

Professional Profile:

ORCID

Summary of Suitability for Best Researcher Award – Jingjing Fan

Jingjing Fan holds a Bachelor of Engineering from Hebei University of Technology and currently serves as a Product Manager at Kunlun Digital Technology Co., Ltd., affiliated with China National Petroleum Corporation. Her research focuses on high-impact areas in technology, specifically at the intersection of Artificial Intelligence (AI) and the Internet of Things (IoT). Her expertise in integrating AI and IoT in practical applications—such as the Intelligent Internet of Things platform for the oil and gas sector, edge intelligence, and cloud-edge collaborative technology—demonstrates her commitment to advancing technology in complex, real-world environments.

Education

  • Bachelor of Engineering from Hebei University of Technology, 2011.

Work Experience

  • Current Position: Product Manager at Kunlun Digital Technology Co., Ltd.
    • Research Topics:
      • AI and Internet of Things (IoT)
      • Intelligent IoT platform applications in oil and gas
      • Edge intelligence
      • Cloud-edge collaborative technology

Publication top Notes:

AIoT-Based Visual Anomaly Detection in Photovoltaic Sequence Data via Sequence Learning