Prof. Arturo Benayas Ayuso | Inventive Award | Best Researcher Award

Prof. Arturo Benayas Ayuso | Inventive Award | Best Researcher Award

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

Arturo Benayas Ayuso is a seasoned naval architect with an MSc from the Universidad Politécnica de Madrid and currently pursuing a PhD focused on IoT applications in ship design and management. He serves as the Integration Lead for the “El Cano” platform at NAVANTIA, where he drives advancements in naval shipbuilding through industry 4.0 technologies and PLM processes. With extensive experience in PLM integration and software deployment, he has held various key roles, including Technical Account Manager for FORAN-PLM integration and Associate Manager at SENER. A multilingual professional fluent in Spanish, English, French, and Portuguese, Arturo has authored several papers and contributed to conferences on shipbuilding technologies. He also lectures on statistics at Universidad Complutense de Madrid, fostering the next generation of economists and business leaders. His technical expertise spans a wide range of programming languages, CAD/CAM/CAE systems, and PLM platforms, making him a pivotal figure in the maritime engineering field.

Professional Profile:

Scopus

Summary of Suitability for Best Researcher Award: Arturo Benayas Ayuso

Arturo Benayas Ayuso’s extensive qualifications and contributions to naval architecture and digital transformation in shipbuilding position him as an exceptional candidate for the Best Researcher Award. With a Master’s degree in Naval Architecture and ongoing PhD research focusing on IoT applications in ship design and management, he demonstrates a strong academic foundation.

Education:

  • MSc in Naval Architecture
    • Institution: Universidad Politécnica de Madrid
    • Year: 2005
    • Specialization: Marine motors specialist
  • PhD in Naval Architecture (ongoing)
    • Research Focus: IoT applied to Ship Design, Shipbuilding, Manufacturing, and Ship Management

Work Experience:

  • Digitization & PLM Associate Manager
    • Company: Accenture – Tecnilógica
    • Duration: 2020 – Present
    • Key Responsibilities:
      • Integration Lead for the “El Cano” platform at NAVANTIA, overseeing the design, building, deployment, and maintenance of naval ships.
      • Advising on PLM processes and validating software capabilities, functional specifications, and technical requirements.
      • Coordinating documentation for new tenders, including economic assessments.
      • Managing a fixed team of 7 and a floating development team of up to 10, utilizing Agile methodologies.
  • FORAN-PLM Technical Account Manager
    • Company: SENER, Ingeniería y Sistemas, S.A.
    • Duration: 2019 – 2020
    • Responsibilities: Managed the integration of FORAN for the migration of the Spanish S80P submarine and oversaw new developments for Windchill PLM integration.
  • Solution Architect Associate Manager
    • Company: SENER, Ingeniería y Sistemas, S.A.
    • Duration: 2012 – 2020
    • Responsibilities: Defined tasks for FORAN-PLM integration and led development teams focused on an OOTB (Out-of-the-Box) paradigm for Windchill and Teamcenter PLM.

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

Yanming Zhao | Computer Science | Best Researcher Award

Prof. Yanming Zhao | Computer Science | Best Researcher Award

Professor at Hebei MINZU Normal University, China

Yanming Zhao is a distinguished Professor at Hebei University of Nationalities, specializing in visual computing and deep neural networks. With a commitment to advancing technology and innovation, he has made significant contributions to the field of computer application technology, evidenced by his extensive research and numerous publications. 🌟

Profile 

Scopus Profile

Education🎓

Yanming graduated with a Master’s degree in Computer Application Technology from the School of Information at Shenyang University of Technology in 2010. His academic background laid a solid foundation for his future research endeavors and leadership in academia.

Experience🏛️💼

As a Master’s Supervisor and experienced researcher, Professor Zhao has participated in over nine provincial-level research projects and has consulted on over 500 industry projects. His work not only showcases his expertise but also his dedication to bridging the gap between academia and industry.

Research Interests🔬📈

Professor Zhao’s research primarily focuses on visual computing and deep neural networks. He has developed innovative algorithms, including the visual selectivity-based 3D graph convolutional algorithm (VS-3DGCN), aimed at enhancing point cloud segmentation performance and addressing key challenges in 3D graph convolutional algorithms.

Awards 🏆

Throughout his career, Yanming has received numerous accolades, including the title of Excellent Scientific and Technological Worker in Hebei Province and Outstanding Expert Managed by Chengde City. These awards reflect his significant contributions to the scientific community and his leadership in research.

Publications

Professor Zhao has published more than 30 academic papers in esteemed journals, such as:

  • Multi-channel depth segmentation network based on 3D graph convolution algorithm and its application in point cloud segmentation
    • Authors: Zhao, Y.
    • Journal: Alexandria Engineering Journal
    • Year: 2024
    • Citations: 0
  • The Multi-View Deep Visual Adaptive Graph Convolution Network and Its Application in Point Cloud
    • Authors: Fan, H., Zhao, Y., Su, G., Zhao, T., Jin, S.
    • Journal: Traitement du Signal
    • Year: 2023
    • Citations: 4
  • Graph Convolution Algorithm Based on Visual Selectivity and Point Cloud Analysis Application
    • Authors: Zhao, Y., Su, G., Yang, H., Jin, S., Yang, J.
    • Journal: Traitement du Signal
    • Year: 2022
    • Citations: 2
  • Slow Feature Extraction Algorithm Based on Visual Selection Consistency Continuity and Its Application
    • Authors: Yang, H., Zhao, Y., Su, G., Fan, H., Shang, Y.
    • Journal: Traitement du Signal
    • Year: 2021
    • Citations: 0
  • Design and application of a slow feature algorithm coupling visual selectivity and multiple long short-term memory networks
    • Authors: Zhao, Y., Yang, H., Su, G.
    • Journal: Traitement du Signal
    • Year: 2021
    • Citations: 1

These contributions have garnered a total citation index of 102 times, illustrating the impact of his work on the research community. 📚🔗

Conclusion🌍✨

In summary, Professor Yanming Zhao stands out as a leading figure in the fields of visual computing and deep learning. His extensive research, numerous publications, and accolades make him a deserving candidate for the Best Researcher Award. His ongoing commitment to innovation and excellence continues to inspire colleagues and students alike.