Associate professor, Ph.D. in information technologies at West Ukrainian National University, Ukraine
Khrystyna Lipianina-Honcharenko is a promising candidate for the Young Scientist Award due to her strong academic background and substantial contributions to research in information technology, machine learning, and socio-economic modeling. Holding a PhD in Technical Sciences and serving as an Associate Professor at the West Ukrainian National University, she has extensive experience in both teaching and research. Khrystyna is involved in high-impact international projects, such as TruScanAI and Erasmus+ initiatives, demonstrating her leadership and collaboration in cutting-edge technological advancements. Her research on data analysis, simulation, and machine learning positions her at the forefront of modern scientific inquiry. While her proficiency in English and publication presence are notable, further enhancement of her language skills and expanding her network in global research circles could increase her influence. Overall, Khrystyna’s innovative research and leadership make her a strong contender for the award, with significant potential for future contributions to the scientific community.
Professional Profile
Education🎓
Khrystyna Lipianina-Honcharenko has an extensive educational background, primarily from West Ukrainian National University, where she has completed multiple degrees. She holds a Bachelor’s degree in Economic Cybernetics (2007–2011), followed by a Master’s in Information Technologies in Economics (2011–2012). Khrystyna continued her academic journey as a postgraduate student at the Department of Economic Cybernetics and Informatics, earning a PhD in Technical Sciences in Information Technology (2019). Her academic pursuits are ongoing, as she is currently working towards her Doctor of Technical Sciences degree in the Department of Information Computer Systems and Control at the same university, which she is expected to complete in 2025. Her education reflects a strong foundation in both the technical and economic aspects of information systems, further enhanced by her focus on machine learning and data analysis. This solid academic background has significantly contributed to her research and teaching expertise.
Professional Experience📝
Khrystyna Lipianina-Honcharenko has a rich professional experience in academia, primarily at West Ukrainian National University (WNU). She began her career as a Laboratory Assistant in the Department of Economic Cybernetics and Informatics from 2012 to 2014, where she gained foundational experience in research and teaching. Khrystyna then advanced to the role of Lecturer in the same department from 2013 to 2020, and later became a Senior Lecturer in the Department of Information Computer Systems and Control from 2020 to 2021. Her expertise was further recognized when she was promoted to Associate Professor in 2021, a position she holds currently. Throughout her career, Khrystyna has not only contributed to teaching but has also been actively involved in research, particularly in areas such as machine learning, data analysis, and socio-economic modeling. Her experience spans both academic instruction and hands-on involvement in high-impact international research projects, highlighting her leadership and expertise.
Research Interest🔎
Khrystyna Lipianina-Honcharenko’s research interests lie at the intersection of information technology, machine learning, and socio-economic modeling. She is particularly focused on data analysis, simulation, and the application of artificial intelligence methods in cyber-physical systems. Her work explores the use of machine learning techniques to model and forecast socio-economic processes, aiming to improve decision-making in various fields, including economics and technology. Khrystyna has also contributed to innovative projects like TruScanAI, which uses AI to detect fake information, and Auralisation of Acoustic Heritage Sites, which combines augmented and virtual reality to preserve cultural heritage. Her research interests extend to structural and statistical identification of hierarchical objects, as well as the development of tools for analyzing complex systems. Through these endeavors, Khrystyna seeks to advance the integration of technology and data-driven methods in solving real-world challenges, particularly in the context of socio-economic systems and information technologies.
Award and Honor🏆
Khrystyna Lipianina-Honcharenko has been recognized for her significant contributions to research and education, particularly in the fields of information technology and machine learning. While specific awards and honors are not detailed in the available information, her involvement in prestigious international projects such as Erasmus+ and her participation in high-impact research initiatives like TruScanAI and Auralisation of Acoustic Heritage Sites underscore her academic and professional recognition. These projects highlight her leadership and innovation, earning her respect within the academic community. Additionally, her active role in the Erasmus+ KA2 Work4CE program demonstrates her commitment to advancing higher education and interdisciplinary collaboration. Khrystyna’s extensive publication record and contributions to scientific advancements further demonstrate her growing influence in her field. As she continues to contribute to international collaborations and projects, it is likely that her efforts will lead to more formal recognitions and awards, further solidifying her place as a leader in her research domain.
Research Skill🔬
Khrystyna Lipianina-Honcharenko possesses a diverse and robust set of research skills, particularly in the areas of data analysis, machine learning, and modeling of socio-economic processes. She is proficient in programming languages such as R and Python, which are essential for data processing, algorithm development, and machine learning applications. Her expertise extends to using various application packages like MS Excel, Mathcad, AnyLogic, and GeoDa, allowing her to model complex systems and analyze large datasets effectively. Khrystyna is well-versed in both qualitative and quantitative research methodologies, including structural and statistical identification of hierarchical objects, a skill she applied in projects related to cyber-physical systems. Her ability to combine technical knowledge with socio-economic modeling enables her to tackle interdisciplinary research challenges. Moreover, her involvement in international projects showcases her capacity for collaborative, cross-cultural research, further enhancing her adaptability and competence in applying advanced research techniques in diverse contexts.
Conclusion💡
Khrystyna Lipianina-Honcharenko is a strong candidate for the Young Scientist Award, thanks to her academic accomplishments, innovative research projects, and leadership in international collaborations. Her dedication to the field of information technology, machine learning, and socio-economic modeling positions her as an emerging scientist with significant potential for future contributions. With continued professional development in areas such as language proficiency and broader networking, Khrystyna could enhance her impact and further distinguish herself in her field.
Publications Top Noted✍️
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Title: Decision tree based targeting model of customer interaction with business page
Authors: H Lipyanina, A Sachenko, T Lendyuk, S Nadvynychny, S Grodskyi
Year: 2020
Citations: 37
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Title: Economic Crime Detection Using Support Vector Machine Classification
Authors: A Krysovatyy, H Lipyanina-Goncharenko, S Sachenko, O Desyatnyuk
Year: 2021
Citations: 25
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Title: Assessing the investment risk of virtual IT company based on machine learning
Authors: H Lipyanina, V Maksymovych, A Sachenko, T Lendyuk, A Fomenko, I Kit
Year: 2020
Citations: 24
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Title: Targeting Model of HEI Video Marketing based on Classification Tree
Authors: H Lipyanina, S Sachenko, T Lendyuk, A Sachenko
Year: 2020
Citations: 22
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Title: Concept of the intelligent guide with AR support
Authors: K Lipianina-Honcharenko, R Savchyshyn, A Sachenko, A Chaban, I Kit
Year: 2022
Citations: 19
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Title: Intelligent Method of a Competitive Product Choosing based on the Emotional Feedbacks Coloring
Authors: R Gramyak, H Lipyanina-Goncharenko, A Sachenko, T Lendyuk
Year: 2021
Citations: 19
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Title: Method of detecting a fictitious company on the machine learning base
Authors: H Lipyanina, S Sachenko, T Lendyuk, V Brych, V Yatskiv, O Osolinskiy
Year: 2021
Citations: 17
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Title: Multiple regression method for analyzing the tourist demand considering the influence factors
Authors: V Krylov, A Sachenko, P Strubytskyi, D Lendiuk, H Lipyanina
Year: 2019
Citations: 13
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Title: Recognizing the Fictitious Business Entity on Logistic Regression Base
Authors: A Krysovatyy, K Lipianina-Honcharenko, S Sachenko, O Desyatnyuk
Year: 2022
Citations: 9
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Title: Сучасні інформаційні технології
Authors: ОВ Вовкодав, ХВ Ліп’яніна
Year: 2017
Citations: 9
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Title: Classification Method of Fictitious Enterprises Based on Gaussian Naive Bayes
Authors: A Krysovatyy, H Lipyanina-Goncharenko, O Desyatnyuk, S Sachenko
Year: 2021
Citations: 8
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Title: Intelligent information system for product promotion in internet market
Authors: K Lipianina-Honcharenko, C Wolff, A Sachenko, O Desyatnyuk
Year: 2023
Citations: 7
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Title: An intelligent method for forming the advertising content of higher education institutions based on semantic analysis
Authors: K Lipianina-Honcharenko, T Lendiuk, A Sachenko, O Osolinskyi
Year: 2021
Citations: 7
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Title: Intelligent waste-volume management method in the smart city concept
Authors: K Lipianina-Honcharenko, M Komar, O Osolinskyi, V Shymanskyi
Year: 2023
Citations: 6
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Title: Intelligent method for classifying the level of anthropogenic disasters
Authors: K Lipianina-Honcharenko, C Wolff, A Sachenko, I Kit, D Zahorodnia
Year: 2023
Citations: 6
