Oswald Chong | Artificial Intelligence | Best Researcher Award

Dr. Oswald Chong | Artificial Intelligence | Best Researcher Award

Dr. Oswald Chong | Artificial Intelligence-Associate Professor at Arizona State University, United States

Dr. Wai Oswald Chong is an esteemed Associate Professor at Arizona State University, specializing in sustainable engineering and the built environment. His pioneering work integrates artificial intelligence, data science, and engineering principles to optimize infrastructure design, construction, and sustainability. With a focus on carbon-neutral solutions and resource optimization, his research has significantly influenced the fields of green building, lifecycle assessment, and energy efficiency. Over the years, Dr. Chong has led numerous groundbreaking projects, contributing to the advancement of engineering practices and sustainability in the built environment.

Profile:

Scopus | Orcid

Education:

Dr. Chong pursued his higher education in engineering, earning advanced degrees that laid the foundation for his expertise in sustainable engineering. His academic journey was marked by a strong commitment to integrating data science and engineering, equipping him with the skills to develop innovative solutions for complex infrastructure challenges. Throughout his academic training, he focused on optimizing construction processes, reducing environmental impact, and enhancing resource efficiency.

Experience:

With an extensive background in academia and industry, Dr. Chong has held key roles in research, teaching, and consultancy. As an Associate Professor at Arizona State University, he has mentored students, conducted cutting-edge research, and collaborated with global institutions. His work spans multiple disciplines, including civil, fire, electrical, mechanical, and green engineering. His involvement in international projects and consultancy roles has strengthened his reputation as a leading expert in sustainable engineering, contributing valuable insights to the industry’s evolution.

Research Interests:

Dr. Chong’s research focuses on the intersection of engineering, artificial intelligence, and sustainability. His key areas of interest include:

  • Knowledge Systems and Models: Integrating codes, standards, regulations, and best practices across multiple engineering domains.
  • Data-Driven Engineering Optimization: Utilizing AI and big data to enhance project design, safety, cost efficiency, and lifecycle management.
  • Resource Optimization: Enhancing the sustainable use of energy, water, raw materials, and carbon in construction projects.
  • Carbon-Neutral Solutions: Developing predictive analytics and lifecycle assessments to minimize environmental footprints.
  • Circular Economy in Semiconductor Industry: Establishing frameworks to improve sustainability in high-tech industries.

Awards & Recognitions:

Dr. Chong’s contributions have been widely recognized through prestigious awards and accolades. His innovative research in sustainable engineering has earned him funding from leading institutions, including the National Science Foundation and various governmental agencies. His projects on carbon emissions modeling and lifecycle performance have been instrumental in shaping policies and best practices in energy-efficient engineering.

Selected Publications 📚:

  1. Event-Induced Anomalies in Energy Consumption – ASCE Journal of Architectural Engineering (2025) 📅 🔗 https://ascelibrary.org/article/10.1061/(ASCE)AE.1943-5568.0000231
    🔍 Cited by 15 articles
  2. Optimizing HVAC Systems for Semiconductor Fabrication – Journal of Building Engineering (2024) 📅 🔗 https://doi.org/10.1016/j.jobe.2024.109397
    🔍 Cited by 30 articles
  3. Semiconductor Fab Energy Optimization – Engineering Technology (2024) 📅 🔗 https://juniperpublishers.com/etoaj/pdf/ETOAJ.MS.ID.555674.pdf
    🔍 Cited by 22 articles
  4. Determining Critical Success Factors for Urban Residential Reconstruction – Sustainable Cities and Society (2023) 📅 🔗 https://doi.org/10.1016/j.scs.2023.104977
    🔍 Cited by 18 articles
  5. Empowering Owners of Small and Medium Commercial Buildings – Energies (2023) 📅 🔗 https://doi.org/10.3390/en16176191
    🔍 Cited by 12 articles
  6. Quality Management Platform During COVID-19 – Journal of Civil Engineering and Management (2023) 📅 🔗 https://doi.org/10.3846/jcem.2023.18687
    🔍 Cited by 10 articles
  7. Big Data and Cloud Computing for Sustainable Building Energy Efficiency – Elsevier Science and Technology (2016) 📅 🔗 https://doi.org/10.1016/j.jobe.2024.109397
    🔍 Cited by 50 articles

Conclusion:

Dr. Wai Oswald Chong is a distinguished researcher whose work has significantly advanced the field of sustainable engineering. His dedication to integrating AI and data science into engineering has led to the development of more efficient, environmentally friendly, and cost-effective construction practices. With a strong record of publications, ongoing research, and impactful industry collaborations, he stands as a deserving candidate for the Best Researcher Award. His expertise and contributions continue to shape the future of engineering, promoting sustainable development and innovation in the built environment.

 

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.