Galina Malykhina | Sensors | Best Researcher Award

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Prof. Dr. Galina Malykhina | Sensors | Best Researcher Award

Prof. Dr. Galina Malykhina | Sensors | professor at Peter the Great St.Petersburg Polytechnic University | Russia

Prof. Dr. Galina Malykhina is a distinguished researcher and professor at Peter the Great St. Petersburg Polytechnic University, Russia, with extensive expertise in measurement information technologies and computational modeling. She completed her Ph.D. at the same university, establishing a strong foundation in applied engineering and computational sciences. Over the years, Prof. Dr. Malykhina has led and contributed to numerous international research projects, particularly in areas such as cerebral autoregulation assessment, two-phase flow control systems in oil production, and physics-informed neural network methods for modeling chemical reactors. Her professional experience encompasses academic leadership, mentoring graduate and doctoral students, and supervising high-impact research collaborations across interdisciplinary fields. Prof. Dr. Malykhina’s research interests include signal processing, computational engineering, neural network modeling, and the application of physics-based methods in complex engineering systems. She possesses advanced research skills in real-time data analysis, modeling of parameterized singular perturbation problems, wavelet cross-correlation techniques, and software-hardware integration for physiological assessments. Throughout her career, she has published multiple influential papers in reputable journals such as Sensors, Processes, and Computation, garnering significant citations that reflect the impact and recognition of her work in the global scientific community. She is an active member of IEEE and ACM, contributing to peer review activities, technical committees, and international workshops. Her dedication to advancing research excellence has been recognized with numerous awards and honors, celebrating her contributions to computational technologies, neural network modeling, and applied measurement systems. Prof. Dr. Malykhina’s ongoing work demonstrates remarkable potential for future contributions, particularly in integrating AI-driven methodologies with engineering measurement systems. Her leadership, innovative research, mentorship, and commitment to scientific advancement position her as an influential figure in her field, poised to continue shaping the development of cutting-edge computational and engineering technologies, while fostering collaboration and knowledge transfer across international research communities.

Academic Profile: ORCID | Scopus

Featured Publications:

  1. Semenyutin, V., Antonov, V., Malykhina, G., Nikiforova, A., Panuntsev, G., Salnikov, V., & Vesnina, A. (2025). Software and hardware complex for assessment of cerebral autoregulation in real time. Sensors. Citation: 12

  2. Arseniev, D., Malykhina, G., & Kratirov, D. (2024). Wavelet cross-correlation signal processing for two-phase flow control system in oil well production. Processes. Citation: 18

  3. Tarkhov, D., Lazovskaya, T., & Malykhina, G. (2023). Constructing physics-informed neural networks with architecture based on analytical modification of numerical methods by solving the problem of modelling processes in a chemical reactor. Sensors. Citation: 22

  4. Lazovskaya, T., Malykhina, G., & Tarkhov, D. (2021). Physics-based neural network methods for solving parameterized singular perturbation problem. Computation. Citation: 30

 

Prof. Dr. Saša Milić | Artificial Intelligence | Distinguished Scientist Award

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Prof. Dr. Saša Milić | Artificial Intelligence | Distinguished Scientist Award

Prof. Dr. Saša Milić | Artificial Intelligence – Scientific Advisor at University of Belgrade, Serbia

Dr. Saša D. Milić is a senior scientific advisor and full professor renowned for his groundbreaking work in electrical engineering, optoelectronics, and intelligent monitoring systems. With a career spanning over three decades, he has consistently demonstrated a rare ability to translate complex theoretical concepts into practical, high-impact industrial applications. Currently serving at the Nikola Tesla Institute, he leads innovative projects in diagnostics and remote sensing, influencing both national and international technological development. A mentor, leader, and visionary researcher, Dr. Milić has earned a reputation as one of the most impactful engineers and applied scientists in Serbia and the region.

Profile:

Orcid | Scopus | Google Scholar

Education:

Dr. Milić’s academic journey began at the University of Belgrade, where he completed his undergraduate studies in power electronics in 1993. He pursued advanced research in electrical measurements, earning his Magister of Science degree in 2000. In 2008, he successfully defended his Ph.D. thesis on remote temperature measurement using radiation optic methods. His education provided a strong interdisciplinary foundation that supports his current work in diagnostics, artificial intelligence, and energy system monitoring. Throughout his academic training, Dr. Milić showed early signs of innovation, setting the tone for a lifelong commitment to research excellence.

Experience:

Professionally, Dr. Milić has built an impressive track record in both academic and industrial domains. Since 1994, he has been a core member of the Nikola Tesla Institute, leading R&D activities in optoelectronic and diagnostic systems. His expertise spans the design and deployment of remote monitoring technologies for power plants, transportation, and military systems. Notable projects under his leadership include systems for vessel detection at the Đerdap hydroelectric plant and optical temperature monitoring of rotating machinery. With over 20 large-scale project leadership roles, Dr. Milić combines technical depth with management excellence, often collaborating with multidisciplinary teams and governmental stakeholders.

Research Interests:

Dr. Milić’s research is rooted in the application of intelligent technologies to real-world diagnostics and monitoring. His core interests include fuzzy logic, artificial intelligence, cyber-physical systems, IIoT (Industrial Internet of Things), and advanced measurement technologies. He is especially passionate about integrating AI into diagnostics for infrastructure and energy systems, making them smarter, safer, and more efficient. His work often addresses predictive maintenance, fault detection, electromagnetic field assessment, and health-related monitoring technologies, bringing theoretical rigor and applied innovation to every project he undertakes.

Awards:

A respected figure in his field, Dr. Milić is a regular member of the Engineering Academy of Serbia and serves as a scientific evaluator for Serbia’s Ministry of Education and Technological Development. He has chaired international conferences such as MedPower and Infoteh, and serves on editorial boards for several journals and proceedings, including the Proceedings of the Nikola Tesla Institute. His contributions have earned national and institutional recognition, including invitations to review international projects and lead professional committees. His consistent engagement with the scientific community and public-sector innovation programs reflects his excellence and influence.

Publications:

Dr. Milić has authored over 117 scientific papers, several of which have had significant academic impact. Here are seven standout publications:
📘 “Towards the Future – Upgrading Existing Remote Monitoring Concepts to IIoT Concepts”, IEEE Internet of Things Journal, 2020 – cited by 80+ articles.

🔬 “On−line Temperature Monitoring and Fault Detection of Hydrogenerator Rotor”, IEEE Transactions on Energy Conversion, 2013 – cited by 100+ articles.

🌐 “Data Science and Machine Learning in IIoT Concepts of Power Plants”, IJEPES (Elsevier), 2023 – cited by 25+ articles.

🛰️ “Vessel Detection Algorithm in Laser Monitoring Systems”, IEEE Transactions on Intelligent Transportation Systems, 2016 – cited by 70+ articles.

💡 “A Fuzzy Measurement Algorithm for Assessing EMF Impact on Health”, Nuclear Technology and Radiation Protection, 2019 – cited by 45+ articles.

🔧 “Wayside Hotbox System with Fuzzy Fault Detection in IIoT”, Control Engineering Practice, 2020 – cited by 50+ articles.

🧠 “Fuzzy-Decision Algorithms for Cyber Security in SCADA Systems”, Book Chapter, IGI Global, USA, 2020 – cited by 60+ articles.

Conclusion:

Dr. Saša D. Milić is a leading authority in intelligent diagnostics and remote sensing systems, with a long-standing record of innovation, academic excellence, and public service. His work has directly impacted the development of intelligent infrastructure in Serbia and abroad, offering solutions to modern challenges in energy, transport, and environmental health. Through visionary leadership, interdisciplinary collaboration, and dedication to scientific advancement, Dr. Milić has not only enriched the academic community but also delivered real-world technological value. His achievements make him a truly deserving nominee for the Distinguished Scientist Award.