Arturo Benayas Ayuso | Generative Artificial Intelligence | Best Researcher Award

Prof. Arturo Benayas Ayuso | Generative Artificial Intelligence | Best Researcher Award

PhD Candidate at Polytechnic University of Madrid, Spain

Arturo Benayas Ayuso is a highly skilled naval architect with over two decades of experience in naval shipbuilding, digitization, and PLM (Product Lifecycle Management) systems integration. Known for his contributions to advancing digital solutions in the naval sector, he currently leads the integration efforts for NAVANTIA’s “El Cano” platform, which leverages cutting-edge technologies under the Industry 4.0 paradigm. This platform integrates complex processes in ship design, construction, and maintenance, marking a significant stride in naval digitization. Arturo is recognized for his leadership, technical expertise, and commitment to continuous improvement, which have consistently contributed to both national defense and international maritime innovation. His career reflects a dynamic blend of hands-on expertise, theoretical knowledge, and thought leadership within his field.

Profile

ORCID

Education

Arturo’s educational background is grounded in naval architecture, with a Master’s degree from the prestigious Universidad Politécnica de Madrid. His specialized training in marine motors provided him with a strong foundation for understanding the technical demands of naval engineering. Currently, Arturo is pursuing a PhD focused on IoT applications in ship design, construction, and management, further expanding his research in digitalization and its transformative impacts on the naval industry. His academic pursuits are complemented by numerous advanced courses in PLM platforms, machine learning, and materials science, reflecting his commitment to staying at the forefront of technological advancements relevant to his field.

Professional Experience

Arturo’s professional career spans pivotal roles in renowned engineering firms and projects within the naval and aerospace industries. His experience includes serving as a Technical Account Manager, Solution Architect, and Associate Manager, where he has spearheaded complex PLM integrations, notably in projects such as the Spanish Navy’s S80P submarine and the collaborative development of the Royal Navy’s CVF program. His role as Integration Lead for the “El Cano” platform exemplifies his capability to manage large teams, oversee end-to-end PLM implementations, and introduce digital solutions that optimize naval operations on an international scale. Throughout his career, Arturo has contributed to innovative projects, ensuring seamless transitions across software platforms and providing critical support for project management in challenging environments.

Research Interests

Arturo’s research interests lie at the intersection of naval architecture, digital transformation, and the Internet of Things (IoT). His doctoral research focuses on applying IoT to streamline and enhance various stages of ship design, manufacturing, and management. By leveraging data analytics, he explores ways to optimize shipbuilding efficiency and reduce costs. Arturo is also passionate about cybersecurity in IoT networks, recognizing the importance of robust security measures in protecting sensitive maritime operations. Additionally, he has an interest in machine learning and its potential applications in automating design processes, which could significantly advance naval engineering and shipyard productivity.

Awards and Recognitions

While Arturo has not received specific awards to date, his role as a thought leader and influential practitioner in naval PLM integration has earned him considerable recognition in his field. His significant contributions to NAVANTIA’s “El Cano” platform have been widely regarded as a benchmark for digital transformation within the naval industry. Furthermore, his insights on naval digitization and IoT applications in shipbuilding have been published in respected journals and presented at international conferences. These accomplishments underscore his impact on the industry and his commitment to innovation.

Publications

Benayas Ayuso, A. & Cebollero, A. (2011). “Integrated Development Environment in Shipbuilding Computer Systems.” ICAS Conference Paper. Cited by 17.
Benayas-Ayuso, A., & Pérez Fernández, R. (2018). “Automated/Controlled Storage for an Efficient MBOM Process in the Shipbuilding Managing the IoT Technology.” RINA Smart Ship Technology. Cited by 22.
Pérez Fernández, R., & Benayas-Ayuso, A. (2018). “Data Management for Smart Ship or How to Reduce Machine Learning Cost in IoS Applications.” RINA Smart Ship Technology. Cited by 18.
Benayas-Ayuso, A., & Pérez Fernández, R. (2019). “What does the Shipbuilding Industry Expect from the CAD/CAM/CAE Systems in the Next Years?” Naval Architect Magazine. Cited by 13.
Benayas Ayuso, A. (2021). “Internet of Things Cybersecurity – Blockchain as First Securitisation Layer of an IoT Network.” In Introduction to IoT in Management Science and Operations Research. Cited by 25.

Conclusion

Arturo Benayas Ayuso’s career exemplifies a blend of practical expertise and research-driven innovation. His contributions to naval digitalization, particularly through his work on the “El Cano” platform, highlight his commitment to integrating advanced technologies in shipbuilding. Arturo’s focus on IoT and cybersecurity, coupled with his passion for teaching, positions him as a forward-thinking leader in his field. As he continues to contribute to the academic and professional spheres, his research has the potential to reshape naval engineering, making him a strong candidate for the Best Researcher Award. His work reflects a dedication to innovation, resilience in navigating complex projects, and a vision for the future of naval architecture and digital integration.

Subhrangshu Adhikary | Machine Learning | Young Scientist Award

Mr Subhrangshu Adhikary | Machine Learning | Young Scientist Award

Mr Subhrangshu Adhikary, Spiraldevs Automation Industries Pvt. Ltd. India

Subhrangshu Adhikary is the Director of Spiraldevs Automation Industries Pvt. Ltd. and a PhD scholar at the National Institute of Technology, Durgapur. With a passion for leveraging scientific advancements to solve real-world problems, he aims to make a positive impact on society and the environment. Adhikary has a diverse skill set encompassing big data, AI, and IoT, and he is recognized for his leadership in both academia and industry. His work spans across research, innovation, and technology development, reflecting his commitment to advancing knowledge and practical solutions in computer science and engineering.

Publication Profile

Scopus

Strengths for the Award

  1. Significant Contributions to Research:
    • Subhrangshu Adhikary has made notable contributions in various fields including machine learning, big data, and biomedical signal processing. His research work covers a range of topics such as secure classification frameworks, document classification with vision transformers, and advanced cryptographic algorithms.
    • His papers, such as those published in Biomedical Signal Processing and Control and Machine Learning and Knowledge Extraction, demonstrate his expertise and innovative approach to complex problems.
  2. Innovative Intellectual Properties:
    • Adhikary holds multiple patents and copyrights, which showcase his ability to develop practical and innovative solutions. For instance, his patents related to fault-tolerant storage systems and decentralized sensor networks are indicative of his technical prowess and creativity.
  3. Awards and Recognition:
    • His achievements, including the Best Research Award at SMTST-2020 and several accolades from NPTEL, highlight his recognition within the scientific community. These awards underline his commitment to excellence and his impact on the field of computer science and engineering.
  4. Diverse Skill Set:
    • His broad technical skill set in areas such as big data, AI/ML, and IoT, combined with his experience in full-stack development and various programming languages, reflects a well-rounded expertise essential for cutting-edge research.
  5. Leadership and Experience:
    • As the Director of Spiraldevs Automation Industries Pvt. Ltd. and IT Head of Drevas Vision Pvt. Ltd., Adhikary has demonstrated strong leadership skills and practical experience in managing and executing technology projects. His roles in these positions complement his research activities, providing a solid foundation for innovative and impactful work.

Areas for Improvement

  1. Publication Impact:
    • While Adhikary has numerous publications, increasing the citation impact and visibility of his work in high-impact journals could further enhance his reputation in the research community. Expanding his research into more widely recognized venues could contribute to a greater influence in his field.
  2. Interdisciplinary Collaboration:
    • Further collaboration with researchers from different disciplines could broaden the scope and application of his work. Engaging in interdisciplinary projects may lead to more diverse and impactful research outcomes.
  3. Research Visibility:
    • Increasing engagement with broader research communities through conferences and workshops could raise awareness of his contributions. Presenting at international forums and participating in collaborative research initiatives may help elevate his profile.

Education

Subhrangshu Adhikary is pursuing a Doctorate in Computer Science and Engineering at the National Institute of Technology, Durgapur, since August 2022. He earned his Bachelor of Technology in Computer Science and Engineering from Dr. B.C. Roy Engineering College, achieving a CGPA of 9.20. His academic journey began at Bethany Mission School, where he completed his Class XII with an aggregate of 74% and Class X with a perfect CGPA of 10.0. His educational background underscores his strong foundation and continued pursuit of excellence in technology and research.

Experience

Subhrangshu Adhikary has been the Director of Spiraldevs Automation Industries Pvt. Ltd. since July 2020, driving innovation and technology solutions in West Bengal. He also serves as the IT Head of Drevas Vision Pvt. Ltd., a software outsourcing company, since September 2020. His roles involve overseeing technology development and management, showcasing his leadership and expertise in the tech industry. His experience encompasses both strategic direction and technical execution, highlighting his multifaceted capabilities in technology and business management.

Awards and Honors

Subhrangshu Adhikary has been honored with the Best Research Award at the SMTST-2020 Conference, recognizing his outstanding research contributions. He has also received multiple accolades from NPTEL, including NPTEL Star, NPTEL Believer, and NPTEL Enthusiast. These awards reflect his excellence in the field of computer science and engineering. Additionally, Adhikary has achieved significant recognition through various local, school, and college-level competition wins, and ranked AIR 108 in the PNTSE Olympiad in 2015.

Research Focus

Subhrangshu Adhikary’s research focuses on integrating big data, AI, and IoT to address complex problems. His work includes developing distributed fault-tolerant storage systems, decentralized sensor networks, and advanced cryptographic algorithms. He explores machine learning applications for environmental monitoring and biomedical diagnostics. His research aims to create sustainable and impactful solutions, enhancing both theoretical knowledge and practical applications in technology and data science.

Publication Top Notes

  • “DitDViiPt PrivLet: A differential privacy and inverse wavelet decomposition framework for secure and optimized hemiplegic gait classification” 📝
  • “VisFormers—Combining Vision and Transformers for Enhanced Complex Document Classification” 📄
  • “Global marine phytoplankton dynamics analysis with machine learning and reanalyzed remote sensing” 🌊
  • “Secret learning for lung cancer diagnosis—a study with homomorphic encryption, texture analysis and deep learning” 🩺
  • “Optimized EEG based mood detection with signal processing and deep neural networks for brain-computer interface” 🧠
  • “DeCrypt: a 3DES inspired optimised cryptographic algorithm” 🔐
  • “Improved Large-Scale Ocean Wave Dynamics Remote Monitoring Based on Big Data Analytics and Reanalyzed Remote Sensing” 🌍
  • “If Human Can Learn from Few Samples, Why Can’t AI? An Attempt On Similar Object Recognition With Few Training Data Using Meta-Learning” 🤖
  • “Evolutionary Swarming Particles To Speedup Neural Network Parametric Weights Updates” ⚙️
  • “Price Prediction of Digital Currencies using Machine Learning” 💹

Conclusion

Subhrangshu Adhikary is a highly deserving candidate for the Best Researcher Award due to his significant contributions to research, innovative intellectual properties, and demonstrated leadership in the technology sector. His impressive track record of awards, patents, and publications underscores his expertise and dedication to advancing knowledge in his field. Addressing areas for improvement, such as increasing the impact of his publications and enhancing interdisciplinary collaborations, could further solidify his standing as a leading researcher. Overall, Adhikary’s achievements and potential make him a strong contender for this prestigious award.