Prof. Alina Nechyporenko, Technische Hochschule Wildau, Germany
Dr. Alina Nechyporenko is an accomplished scientist and professor specializing in pattern recognition, biomedical signal processing, and data mining. Currently, she serves as a Scientist and Reader at the Technical University of Applied Sciences Wildau, Germany, where she works in the Department of Molecular Biotechnology and Functional Genome Analysis. She has also been a Professor at Kharkiv National University of Radio Electronics in Ukraine since 2018, contributing to the Faculty of Computer Science and the Department of Systems Engineering. Dr. Nechyporenko has over 70 publications in peer-reviewed journals and holds five patents. She is an expert evaluator for ISO/TC 276 Biotechnology and has been involved in several high-impact research projects, including Horizon2020, COST actions, and Erasmus+ initiatives. Her current research focuses on biomedical research, machine learning, and data management, with significant contributions to European life-science research and microbiome studies.
Professional Profile:
ORCID
Summary of Suitability for the Best Researcher Award
Alina Nechyporenko is a highly accomplished researcher in the fields of Pattern Recognition, Biomedical Signal Processing, and Machine Learning, with an extensive academic and professional background. She has demonstrated significant contributions to biomedical research, particularly in the application of data mining and computational techniques in cancer therapy, microbiome research, and deep learning. Given her work and leadership in her respective fields, she is highly suitable for the Best Researcher Award.
Education and Training
- Expert in Evaluation Competences
- Member of ISO/TC 276 Biotechnology, WG 2, WG 5, and national TC 166 “Clinical laboratory studies and systems for in vitro diagnostics.”
- Technical Committee and Reviewer for the UKRCON IEEE conference.
- Ph.D. in Computer Science
- Specialization in Biomedical Signal Processing and Pattern Recognition
- Thesis focused on data management and machine learning applications.
- Publications and Patents
- Over 70 publications in peer-reviewed scientific journals
- Holder of 5 patents related to biomedical and computational applications.
Work Experience
2019 – Present
- Scientist and Reader for Pattern Recognition, Biomedical Signal Processing
- Technical University of Applied Sciences Wildau, Germany
- Conducting research in areas such as data mining, machine learning, and data management within the Department of Molecular Biotechnology and Functional Genome Analysis.
- Participates in Horizon2020 grant agreement ID: 654156 (RItrain – Research Infrastructures Training Programme), COST CA15110 (Harmonising standardisation strategies in European life-science research), and Erasmus + Capacity-building projects.
- Engaged in COST CA18131 (Statistical and machine learning techniques in human microbiome studies) and DAAD “Digital Ukraine: Ensuring academic success in times of crisis” projects (2022 – 2025).
Since 2018
- Professor
- Kharkiv National University of Radio Electronics, Ukraine
- Faculty of Computer Science & Department of Systems Engineering
- Involved in teaching and research, focusing on pattern recognition, data processing, and systems engineering.
Publication top Notes:
Modeling and Computer Simulation of Nanocomplexation for Cancer Therapy
Comparison of CNN-Based Architectures for Detection of Different Object Classes
Comparison of CNN-Based Architectures for Detection of Different Object Classe
Advancing microbiome research with machine learning: key findings from the ML4Microbiome COST action
Classification of Microbiome Data from Type 2 Diabetes Mellitus Individuals with Deep Learning Image Recognition
Intelligent Decision Support System for Differential Diagnosis of Chronic Odontogenic Rhinosinusitis Based on U-Net Segmentation