Mr. Ezekiel Edward Nettey-Oppong | Internet of Things Awards | Best Researcher Award

Mr. Ezekiel Edward Nettey-Oppong | Internet of Things Awards | Best Researcher Award 

Mr. Ezekiel Edward Nettey-Oppong, Yonsei University, South Korea

Ezekiel Edward Nettey-Oppong is a dedicated Ph.D. candidate and researcher at Yonsei University in South Korea, specializing in Biomedical Engineering. he completed his Bachelor of Science degree in Materials Engineering with first-class honors from Kwame Nkrumah University of Science and Technology (KNUST), Kumasi, Ghana. Ezekiel has gained extensive interdisciplinary expertise in materials science and biomedical engineering through academic and research roles, including serving as a teaching and research assistant at KNUST. His research focuses on cutting-edge areas such as biomaterials, wearable devices, molecular dynamics simulations, finite element analysis, biomedical wearables, and sustainable materials. Ezekiel is actively involved in developing high-performance sensors, energy harvesters for biomedical applications, and micro/nanofabrication of biometric authentication devices, as well as 3D printing of bio-implantable systems. His expertise spans advanced equipment and techniques such as Raman spectroscopy, SEM, FTIR, and computational simulations.

Professional Profile:

ORCID

Summary:

Ezekiel’s strong academic background, prolific research output, interdisciplinary expertise, and dedication to addressing global challenges through sustainable and biomedical technologies align perfectly with the criteria for the Best Researcher Award. His commitment to innovation and collaborative spirit further solidify his position as an outstanding candidate.

Education 🎓

  • Yonsei University, South Korea
    • Biomedical Engineering (MSc – PhD)
      • Combined Master’s and Doctoral Program
      • PhD Candidate (February 2022 – Present)
      • Expected Graduation: August 2025
  • Kwame Nkrumah University of Science and Technology (KNUST), Ghana
    • Materials Engineering (BSc)
      • First-class Honors (September 2016 – August 2020)
      • Thesis: The use of as-synthesized zeolite for the removal of cyanide in effluent from cassava processing.

Work Experience 💼

  • Teaching Assistant & Researcher, Yonsei University
    • Focus on biomaterials, molecular dynamics simulations, finite element analysis, biomedical wearables, micro/nanofabrication, and additive manufacturing.
    • Developing high-performance sustainable sensors and energy harvesters for biomedical applications.
    • Micro/nanofabrication of biometric authentication devices and 3D printing of bio-implantable systems.
  • Research & Teaching Assistant, Kwame Nkrumah University of Science and Technology (KNUST)
    • Supported academic and research activities in materials engineering.

Achievements, Awards, and Honors 🏅

  • First-Class Honors Graduate from KNUST 🎖️
  • Research Collaboration with reputable scholars in metallurgy, mechanical, materials, and biomedical engineering 🌍
  • Expertise in advanced characterization techniques, including Raman spectroscopy, SEM, and FTIR 🛠️
  • Development of Novel Bio-Implantable Systems for biomedical applications 🧬
  • Recognition for leadership and creative problem-solving in academic and professional settings 🚀
  • Skilled in computational materials science, molecular simulations, and additive manufacturing 💻
  • Effective multi-tasker and goal-driven achiever in collaborative and independent projects 🏆

Publication Top Notes:

Development of a Sustainable Flexible Humidity Sensor Based on Tenebrio molitor Larvae Biomass-Derived Chitosan

The Impact of Temperature and Pressure on the Structural Stability of Solvated Solid-State Conformations of Bombyx mori Silk Fibroins: Insights from Molecular Dynamics Simulations

Chitosan Extracted from the Biomass of Tenebrio molitor Larvae as a Sustainable Packaging Film

Customized Integrating-Sphere System for Absolute Color Measurement of Silk Cocoon with Corrugated Microstructure

Mechanical properties and deformation behavior of equiatomic CoCrFeMnNi high-entropy alloy foam: A molecular dynamics study

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

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

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