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

Pritam Rani | Blockchain | Best Researcher Award

Ms. Pritam Rani | Blockchain | Best Researcher Award

Research Scholar, Bennett University, India

Ms. Pritam Rani, a distinguished Research Scholar at Bennett University, India, has been honored with the prestigious Best Researcher Award for her groundbreaking work in the field of Blockchain 🏆. Her innovative contributions have significantly advanced the understanding and application of blockchain technology, paving the way for transformative solutions in various domains. With meticulous research and unwavering dedication, Ms. Rani has emerged as a trailblazer, inspiring peers and aspiring scholars alike. Her achievement not only underscores her exceptional talent but also highlights the institution’s commitment to fostering academic excellence and innovation.

Profile

Google Scholar

Education

Ms. Pritam Rani is currently pursuing her Ph.D. in the School of Computer Science Engineering and Technology at Bennett University, demonstrating her commitment to academic excellence and research 🎓. Prior to this, she obtained her M.Tech in Computer Science and Engineering from the Central University of Jharkhand, India, achieving an impressive CGPA of 8.76. Her academic journey also includes a B.Tech in Information Technology from Vinoba Bhave University, where she attained a notable percentage of 73.90%. Furthermore, she holds a Diploma in Computer Engineering from Government Polytechnic, Koderma, with a commendable percentage of 74.45%. Ms. Rani’s academic qualifications reflect her dedication to mastering her field and contributing to technological advancement.

Achievements

Ms. Pritam Rani’s academic journey is further embellished by her accomplishment of qualifying the CUCET Examination in M.Tech Computer Science Paper in 2019 🌟. This significant achievement underscores her aptitude and proficiency in the field, showcasing her ability to excel in competitive examinations. The successful qualification in the CUCET Examination not only highlights her academic prowess but also reflects her dedication and determination to pursue advanced studies in computer science. Ms. Rani’s ability to meet the rigorous standards of such examinations speaks volumes about her commitment to continuous learning and her aspirations to contribute meaningfully to the ever-evolving landscape of technology and research.

Publications Top Notes

Toward a greener future: A survey on sustainable blockchain applications and impact” – 2024

“Class-Balanced by SMOTE & Filtering Mechanism Combined with XGBoost Algorithm for Classifying Imbalanced Data” – 2023