Mrs. Elzbieta Raus-Jarząbek | Biomedical Engineering | Research Excellence Award

Published on by Superior Awards

Mrs. Elzbieta Raus-Jarząbek | Biomedical Engineering | Research Excellence Award

Mrs. Elzbieta Raus-Jarząbek | AGH University of Krakow | Poland

Mrs. Elżbieta Raus-Jarząbek is a highly accomplished Software and Electronic Engineer and emerging biomedical researcher, with 5 scientific documents, 4 citations by 4 documents, and an h-index of 1, reflecting her growing academic impact alongside a strong engineering career. She combines expertise in electronics, telecommunications, biomedical signal processing, machine learning, and computer science. Her professional background includes significant experience at Motorola Solutions, where she worked in Unix and Windows virtualization, software deployment, installation package creation for Linux and Windows platforms, and automated testing, including web-based systems, while troubleshooting complex multi-environment infrastructures. She later contributed to Noble Systems Corporation in Kraków as a Software Engineer, developing cross-platform telecommunication software and SIP-based VoIP desktop applications using network programming techniques. Alongside industry roles, she gained broad hands-on experience through consulting and freelance work, designing sensor-based electronic interfaces and creating systems for data acquisition, processing, and interpretation. Currently, as a PhD candidate at AGH University of Science and Technology, she focuses on designing and validating wearable ECG devices and developing advanced ECG signal-processing and HRV-based cardiovascular risk prediction approaches using nonlinear analysis and machine learning. Her multidisciplinary expertise bridges electronics, software, and biomedical science, demonstrating a strong commitment to technological innovation and impactful healthcare research.

Profile: Scopus

Featured Publication

Raus-Jarząbek, E. (2025). A practical guide to ECG device performance testing according to international standards. Electronics (Open access).

 

Prof. Dr. Galina Malykhina | Biomedical Engineering | Best Researcher Award

Published on by Superior Awards

Prof. Dr. Galina Malykhina | Biomedical Engineering | Best Researcher Award

Prof. Dr. Galina Malykhina | Peter the Great Saint Petersburg Polytechnic University | Russia

Prof. Dr. Galina Malykhina is a distinguished scientist and educator affiliated with the Peter the Great St. Petersburg Polytechnic University, serving at the Institute of Informatics and Cybersecurity, Graduate School of Computer Technology and Information Systems. She earned her foundational and advanced degrees from the St. Petersburg Polytechnic Institute, completing her PhD in Technical Cybernetics and later defending her DSc thesis in Information, Measurement, and Control Systems. Over her prolific career, Galina Malykhina has made significant contributions to the development of technical diagnostics systems, measurement technologies for two-phase and multiphase flows in the oil industry, and intelligent medical measurement systems utilizing artificial neural networks. Her expertise extends to advanced control mechanisms for thermal power plants and industrial automation processes. As an academic, she has delivered comprehensive lectures on Information Technology, Computer Networks, and Machine Vision, shaping generations of engineers and researchers. Her research output includes 38 documents with 89 citations from 73 documents and an h-index of 5. Her scholarly influence is reflected through numerous publications indexed in Google Scholar, DBLP, Semantic Scholar, and ORCID. Galina Malykhina’s research continues to bridge cybernetics, intelligent systems, and applied informatics, reinforcing her reputation as a leading figure in Russian and international computer science and control engineering.

Profile: Scopus | Google Scholar | Orcid

Featured Publications

Malykhina, G. F., & Guseva, A. I. (2017). Early fire prevention in the plant. Industrial Engineering, Applications and Manufacturing (ICIEAM).

Tarkhov, D. A., & Malykhina, G. F. (2019). Neural network modelling methods for creating digital twins of real objects. Journal of Physics: Conference Series, 1236(1), 012056.

Malykhina, G. F., & Tarkhov, D. A. (2018). Digital twin technology as a basis of the industry in future. European Proceedings of Social and Behavioural Sciences, 51.

Lazovskaya, T., Malykhina, G., & Tarkhov, D. (2021). Physics-based neural network methods for solving parameterized singular perturbation problem. Computation, 9(9), 97.

Dashkina, A., Khalyapina, L., Kobicheva, A., Lazovskaya, T., Malykhina, G., & others. (2020). Neural network modeling as a method for creating digital twins: From industry 4.0 to industry 4.1. Proceedings of the 2nd International Scientific Conference on Innovations in …

Vasilyev, A. N., Tarkhov, D. A., & Malykhina, G. F. (2018). Methods of creating digital twins based on neural network modeling. Sovremennye Informatsionnye Tekhnologii i IT-Obrazovanie, 14(3), 521–532.*