Arturo Benayas Ayuso | Generative Artificial Intelligence | Best Researcher Award

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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.

Yong-Guk Kim | Computer Vision | Best Researcher Award

Posted on by Academic achievements

Prof. Dr.Yong-Guk Kim | Computer Vision | Best Researcher Award

Professor at Sejong University, South Korea

Dr. Yong-Guk Kim is a Full Professor in the Department of Computer Engineering at Sejong University, Seoul, Korea, and a renowned expert in artificial intelligence and computer vision. His academic journey has taken him from Korea to prestigious institutions in the UK, Netherlands, and the US, contributing significantly to fields like Generative AI, facial expression recognition, and autonomous drone technology. With a career spanning over three decades, Dr. Kim has excelled in both academic research and industry collaborations, leading innovative AI projects and earning multiple accolades in international AI challenges.

Profile

ORCID

Education:

Dr. Kim completed his Ph.D. in Experimental Psychology, specializing in computational vision, from Cambridge University, where he explored visual surface representation for transparency, occlusion, and brightness. He also holds an M.S. in Electrical Engineering, majoring in Automatic Control, and a B.S. in Electrical Engineering, both from Korea University. His education set the foundation for a career at the intersection of engineering and cognitive science, particularly in AI and computer vision applications.

Experience:

Dr. Kim’s diverse career includes research roles at major organizations such as LG and KT in Korea, followed by advanced research opportunities abroad. He worked as a postdoctoral fellow at the Smith-Kettlewell Vision Institute in San Francisco and as an EU fellow at the Robotics Institute of Utrecht University in the Netherlands. He has served as a faculty member at Sejong University for over two decades, holding leadership positions such as Dean of International Affairs and Head of the Start-up Incubator. He has successfully founded the startup Affectronics, specializing in mobile 3D avatars, and played a pivotal role in several AI challenges, showcasing his expertise in applied AI.

Research Interest:

Dr. Kim’s primary research areas lie in Generative AI and Computer Vision. His work encompasses multi-modal large language models, video anomaly detection, and facial expression recognition, with a particular focus on real-world applications such as autonomous drones and personalized advertising platforms. His lab has made significant strides in AI-driven tasks, such as autonomous drone racing and emotion detection, winning multiple international competitions. His research is well-funded by both governmental bodies and private industries, highlighting the practical and impactful nature of his work.

Awards:

Dr. Kim has received numerous awards for his contributions to AI, particularly in global competitions. Notably, his lab won the prestigious Game of Drones Challenge in 2019, organized by Microsoft and Stanford University at the NeurIPS conference. He also placed second in the Inpainting and Denoising Challenge at the European Conference on Computer Vision (ECCV) in 2018 and won the Fake Emotion Detection Challenge at the International Conference on Computer Vision (ICCV) in 2017. These achievements underscore his prominence in the AI research community and his ability to lead teams in high-stakes, competitive environments.

Publications:

Dr. Kim has published extensively in top-tier journals, contributing to the advancement of AI and computer vision. His recent works include:

“Reinforcement Learning Based Drone Simulators: Survey, Practice, and Challenge” (2024) – Artificial Intelligence Review (Cited by: 281) Link.

“UET4Rec: U-net Encapsulated Transformer for Sequential Recommender” (2024) – Expert Systems with Applications (Cited by: 781) Link.

“Meme Analysis using LLM-based Contextual Information“ (2024) – IEEE Access (Cited by: 5) Link.

“Attention-based Residual Autoencoder for Video Anomaly Detection” (2023) – Applied Intelligence (Cited by: 240) Link.

“A Promising AI-based Tool to Simulate Hydrogen Sulfide Elimination” (2023) – Separation and Purification Technology (Cited by: 472) Link.

Conclusion:

Dr. Yong-Guk Kim’s extensive contributions to AI and computer vision, coupled with his successful track record in international AI challenges, academic excellence, and industry collaboration, make him a strong candidate for the Best Researcher Award. His teaching and entrepreneurial achievements further add to his case, demonstrating both academic prowess and real-world impact. By expanding his research into newer domains and engaging more with public discourse on AI, he could further solidify his standing as a world-class researcher.