Nikolai Simonov | Artificial Intelligence | Best Researcher Award

Dr. Nikolai Simonov | Artificial Intelligence | Best Researcher Award

Dr. Nikolai Simonov | Artificial Intelligence – Senior researcher at Valiev Institute of Physics and Technology, Russia

Dr. Nikolai Anatolievich Simonov is a distinguished senior scientist whose career reflects profound expertise in physics, mathematics, applied electromagnetics, and artificial intelligence. He has been instrumental in bridging fundamental science with advanced technologies, contributing to several internationally recognized institutions across Russia and South Korea. His interdisciplinary work ranges from microwave tomography and electromagnetic theory to cognitive modeling and neuromorphic system development. With over 80 publications and a widely cited body of work, he stands as a leading authority in modern radio-electronics and intelligent systems.

🎓Academic Profile

Orcid | Scopus | Google Scholar

🎓 Education

Dr. Simonov completed his Master of Science degree in 1978 from Moscow State University, Faculty of Physics, with a specialization in radio-physics. He subsequently earned a Ph.D. in Physics and Mathematics in 1986 from the same university, focusing on radio-physics and radio-electronics. His academic training laid a robust theoretical foundation that continues to guide his scientific innovations today.

💼 Experience

His career trajectory began in 1978 as an Engineer-Physicist at the Scientific and Research Institute of Radio Engineering in Moscow. He advanced to senior scientific roles at Scientific and Industrial Company Vzlet, Research and Development Company Modus, and the Institute of Theoretical and Applied Electromagnetism (ITAE), part of the Russian Academy of Sciences. Internationally, he held leadership roles in South Korea, including positions at Credipass Co., Ceyon Technology Co., the Electronics and Telecommunications Research Institute (ETRI), and Yonsei University. Currently, he serves as a Senior Scientist at NRC “Kurchatov Institute” – Valiev IPT, continuing his pioneering research in AI-driven semantic modeling and electromagnetic theory.

🔬 Research Interest

Dr. Simonov’s early research revolved around applied electromagnetics, radio-frequency imaging, and microwave scattering. Over time, he expanded into millimeter-wave measurements and developed high-resolution microwave tomography systems with biomedical applications. His recent focus includes the conceptualization of a novel “Model of Spots” for mental imagery representation—an approach that blends cognitive psychology, mathematical modeling, and artificial intelligence to support neuromorphic system development. He actively explores mathematical foundations for AI semantic structures and inverse problem-solving in sensor systems.

🏅 Award

In recognition of his scientific excellence, Dr. Simonov was honored with the IEEE Antennas and Propagation Society’s Piergiorgio L. E. Uslenghi Letters Prize Paper Award in 2020. This prestigious international award was granted for his innovative research on human-body electromagnetic scattering models, underscoring his impact in both theoretical and applied electromagnetic science.

📚 Selected Publications

📡 “Method for Scattering of Electromagnetic Waves from the Human Body…” IEEE Antennas and Wireless Propagation Letters, 2019 – Cited in clinical and wearable device research.
🧠 “Spots Concept for Problems of Artificial Intelligence…” Russian Microelectronics, 2020 – Influential in neuromorphic system modeling.
🧬 “Advanced Fast 3D Electromagnetic Solver for Microwave Tomography Imaging” IEEE Transactions on Medical Imaging, 2017 – Widely cited for algorithmic advancement in medical diagnostics.
🧲 “Overcoming Insufficient Microwave Scattering Data in Microwave Tomographic Imaging” IEEE Access, 2021 – Applied in imaging systems where data resolution is limited.
💡 “Application of the Model of Spots for Inverse Problems” Sensors, 2023 – Bridging cognitive modeling with AI-driven sensor development.
🧘 “Mental Imagery Representation by Model of Spots in Psychology” Natural Systems of Mind, 2023 – Cited in cognitive neuroscience and AI literature.
🤖 “Development of an Apparatus of Imaginative Information Representation for Neuromorphic Devices” Russian Microelectronics, 2024 – Gaining attention in the neuromorphic computing community.

🧾 Conclusion

Dr. Nikolai Simonov’s scientific journey is marked by persistent curiosity, interdisciplinary mastery, and a passion for innovation. From foundational electromagnetic theory to AI-inspired cognitive modeling, his research contributions continue to shape modern science and technology. His award-winning publications, global research engagements, and visionary approach to complex problems make him a compelling and deserving nominee for the Best Researcher Award. His ongoing work not only pushes the boundaries of scientific understanding but also opens transformative pathways for the future of intelligent systems.

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.