Євгенія Бабенко
Рейтинг
Рівень володіння мовами
Резюме
Міждисциплінарний науковець із понад 20-річним досвідом роботи у сферах біології, медицини, аграрних наук, біоінформатики, біоінженерії, сенсорних технологій та інформаційних систем. Працюю старшим науковим співробітником Інституту кібернетики ім. В.М. Глушкова НАН України. Маю ступінь кандидата сільськогосподарських наук, магістерську освіту з біології та державного управління, а також досвід міжнародної наукової співпраці.
Працювала над проєктами у галузях фізіології рослин, флуоресцентної діагностики, цифрових систем моніторингу та AI-рішень для науки й агросектору.
Маю практичний досвід:
• біоінформатики та аналізу даних;
• роботи з RStudio, базовий Python;
• підготовки наукових статей, systematic review, PRISMA;
• створення презентацій, постерів, аналітичних матеріалів;
• наукового редагування та перекладу;
• автоматизації роботи з текстами та інформацією за допомогою AI.
Також займаюся:
• цифровими проєктами;
• науковими комунікаціями;
• AI-автоматизацією;
• розробкою освітніх та науково-популярних матеріалів.
Навички та вміння
Програмування
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AI та машинне навчання
від 1500 UAH за проєкт
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Python
від 500 UAH за проєкт
Дизайн та арт
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Ілюстрації та малюнки
від 200 UAH за одиницю
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Оформлення сторінок у соціальних мережах
від 400 UAH за проєкт
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Розробка презентацій
від 500 UAH за проєкт
Послуги
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Збір інформації
від 600 UAH за проєкт
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Консультування з AI
від 300 UAH за годину
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Контент-менеджер
від 600 UAH за добу
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Навчання
від 500 UAH за проєкт
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Обробка даних
від 700 UAH за проєкт
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Робота з клієнтами
від 200 UAH за годину
Архітектура та інжиніринг
Аутсорсінг та консалтинг
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Управління проєктами
від 1500 UAH за проєкт
Переклади
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Переклад текстів
від 200 UAH за 1000 символів
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Українська мова
від 200 UAH за 1000 символів
Робота з текстами
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AI обробка текстів
від 1000 UAH за статтю
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Написання статей
від 500 UAH за статтю
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Публікація оголошень
від 200 UAH за одиницю
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Редагування та коректура текстів
від 200 UAH за 1000 символів
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Технічна документація
від 1000 UAH за проєкт
Портфоліо
- Всі роботи 12
- Написання статей 1
- Ілюстрації та малюнки 4
- Технічна документація 1
- Розробка презентацій 3
- Оформлення сторінок у соціальних мережах 1
- AI та машинне навчання 1
- AI у дизайні 1
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4000 UAH ГЛОБАЛЬНА МЕРЕЖА ДЛЯ АВТОМАТИЧНОГО ОТРИМАННЯ ЗНАНЬ [UA]
Технічна документаціяПатент України
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1000 UAH Development and Application of Internet of Things and Visual Det
Ілюстрації та малюнкиField observations in viticulture show that digital monitoring tools and automated systems are increasingly used in conjunction with analytical decision-support modules. Building on this practical experience, the chapter explores how Internet of Things (IoT) technologies, visual systems, and decision support systems (DSS) can be integrated into a digital framework for managing crop productivity. The proposed approach focuses on translating plant morphological traits, traditionally described in taxonomy, into measurable descriptors suitable for algorithmic analysis. Using grapevine (Vitis vinifera L.) as a case study, it demonstrates how ampelometric indicators, geometric parameters of leaves, vein angles, and sinus shapes, can be combined with spectral and physiological characteristics within an analytical model, or function as an autonomous diagnostic and analytical module in decision-support systems. This framework enables early disease detection, continuous assessment of plant condition, and optimization of resource use. The analytical models and procedural schemes developed within the study illustrate how digital morphology and biological observation can operate jointly in integrated systems of analysis and decision support, enhancing diagnostic precision and supporting sustainable management of agrobiocenoses.
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1000 UAH Дизайн FB сторінки
Оформлення сторінок у соціальних мережахДизайн сторінки на FB для бренду "Українськи барви"
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1000 UAH Using instrumental methods and Artificial Intelligence approache
Розробка презентаційIn the seminar, I describe how theoretical and data analysis ideas interact with newly developed computational and experimental methodologies to answer these questions across different contexts, length scales, and time scales. A link was made between the instrumental methods of laboratory practice and the methods of working with data in preclinical studies. Which includes everything from experiments to study the causes of disease to animal testing of potential treatments and everything in between. Differences and similarities between approaches and areas where further advances are needed were presented to put behavior on the same quantitative footing as in other areas of science where AI approaches have been successfully applied.
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500 UAH AI Фотосесія
AI у дизайніФотосесія для дизайнерского бренду одягу
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500 UAH Науковий комікс
Ілюстрації та малюнкиThis holiday comic is created for scientists, researchers, Ph.D. students, and everyone involved in academic work and publishing. In this festive story, Dr. Reviewer and her white laboratory mouse find themselves in the middle of winter academic chaos. Snow mixes with flying manuscripts, PRISMA (Preferred Reporting Items for Systematic reviews and Meta-Analyses) diagrams twist into knots, and deadlines rush faster than Christmas snowflakes. The pop-art style, dynamic scenes, and gentle humor turn familiar scholarly challenges into a bright and joyful holiday adventure.
The comic also includes several additional pages that support academic planning and creative thinking. Readers will find a PRISMA Bucket List for organizing stages of a systematic review, a clean Science Bucket List for research ideas and personal goals, and a dedicated page for storing notes about scientometric profiles such as ORCID, Scopus, and ResearchGate.
This cheerful and atmospheric edition becomes a comforting companion for anyone living in the world of research, publications, and peer review. It brings a sense of warmth and inspiration to the busiest season of the academic year.
Colorful. Festive. Smart.
… A perfect escape for the academically exhausted.
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500 UAH Науковий комікс
Ілюстрації та малюнкиThe first release in the educational pop-art series Science Comics brings to life one of the most complex research frameworks in modern academia — the PRISMA method for systematic reviews. Created in the vibrant spirit of Lichtenstein and classic Marvel, this comic turns evidence synthesis into a dynamic visual narrative that is both scientifically accurate and wonderfully engaging.
At the center of the story are Dr. Reviewer, a fearless scientist-heroine, and her loyal companion, the Laboratory Super-Rat. Together they move through every stage of the PRISMA workflow, from identifying studies in vast databases to screening, checking eligibility, assessing risk of bias, extracting data, running meta-analyses and interpreting final results. Each step becomes a vivid pop-art metaphor filled with color, motion and humor. What is normally a strict methodological sequence transforms into an adventure full of research battles, comic-style action and visual surprises.
This project was born from a real educational gap. Many students and even experienced researchers struggle with understanding the structure and logic of systematic reviews. PRISMA often appears abstract, overly technical and difficult to memorize. The comic reframes the entire process in a way that is accessible, memorable and visually driven while preserving full scientific accuracy. It is designed to support learning, to build research competencies through imagery and storytelling and to make methodology feel intuitive rather than overwhelming.
The PRISMA Comic Guide is well suited for students who are just beginning to explore evidence synthesis, for early-career researchers and PhD candidates preparing their first systematic review, for educators who rely on strong visual materials, for methodology courses, libraries, science-communication programs and for anyone who enjoys the blend of science, humor and vintage pop-art aesthetics. Inside the comic, PRISMA becomes a journey through an evidence universe, guided by characters who make the process clear, vivid and unforgettable. This is a unique visual interpretation of PRISMA that you will not find anywhere else, a creative bridge between rigorous science and artistic storytelling.
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2000 UAH Intelligent Methods in Behavioral Studies on Animal Models
Розробка презентацій4th International Workshop of IT-professionals on Artificial Intelligence "ProfIT AI 2024"
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2000 UAH Cognitive-AI-through-Mnemonic-Interfaces
AI та машинне навчанняThis repository contains the conceptual and prototype implementation of a mnemonic interface for AI systems aimed at developing cognitive intelligence. The approach integrates pharmacological ontology, mnemonic structuring, and neuro-symbolic reasoning potential.
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2000 UAH Using instrumental methods and Artificial Intelligence approache
Розробка презентаційIn the seminar, I describe how theoretical and data analysis ideas interact with newly developed computational and experimental methodologies to answer these questions across different contexts, length scales, and time scales. A link was made between the instrumental methods of laboratory practice and the methods of working with data in preclinical studies. Which includes everything from experiments to study the causes of disease to animal testing of potential treatments and everything in between. Differences and similarities between approaches and areas where further advances are needed were presented to put behavior on the same quantitative footing as in other areas of science where AI approaches have been successfully applied.
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3000 UAH Cognitive Interaction Layers for Neuro-Symbolic AI
Написання статейDespite recent breakthroughs in large language models (LLMs), current AI systems remain limited in their ability to engage with knowledge in ways that align with human cognition. While LLMs excel at syntactic and contextual processing, they often fall short in semantic interpretation, conceptual association, and memory-oriented reasoning. This gap underscores the need for cognitive interaction layers, which serve as human-AI interfaces that integrate structured knowledge with cognitive encoding strategies to support intuitive, interpretable, and memory-efficient learning.
This paper introduces a conceptual and technological framework for cognitive interaction layers that function as mediators between AI systems and human users. By embedding mechanisms such as semantic cues, associative representations, visual metaphors, and structured schemas, these layers enable more human-aligned interaction and knowledge transfer. We discuss the theoretical foundations of cognitive scaffolding and neuro-symbolic reasoning, provide a mathematical formulation of cognitive encoding and retrieval functions, and compare existing cognitive architectures with the proposed approach. The framework opens new avenues for human–AI interaction by transforming static knowledge representations into cognitively enriched environments that support education, skill acquisition, and interpretability in intelligent systems.
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2000 UAH Trends and innovations in modern agriculture...
Ілюстрації та малюнкиModern agriculture is developing under conditions of climate variability, resource scarcity, and economic instability, which demand solutions that balance sustainability with efficiency. Recent advances emphasize technologies for monitoring plant physiological status, detecting stress, and optimizing water and resource use. Among the most significant developments are sensor networks for chlorophyll fluorescence induction (CFI, Kautsky effect) and environmental parameters, complemented by imaging techniques for disease detection and cultivar characterization. Ground-based measurements also play a critical role in calibrating satellite observations, thereby linking local field data with large-scale remote sensing. Early visual diagnostic practices, which historically preceded modern plant phenotyping, provided the conceptual basis for these approaches and have since evolved into digital instruments of precision agriculture. Today, the convergence of sensor technologies, Internet of Things (IoT) platforms, and machine learning enables the development of intelligent decision support systems (DSSs). These systems support adaptive, data-driven crop management and are establishing new standards for precision agriculture under the combined pressures of climate change and global market uncertainty.
Активність
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Перепечатка та переклад (тощо)
2246 UAH
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Розробка логотипу
1123 UAH
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Підготовка документації для сертифікації
4000 UAH
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Покращення вже створеної презентації Power Point
1000 UAH
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Бізнес план
25 000 UAH
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Перекласти рекламний текст з української на російську
44 913 UAH
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Фото на сайт
1000 UAH
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SMM та просування бренду в соціальних мережах
10 291 UAH
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Створення внутрішньоого блоку розмальовки Манга (аніме)
4000 UAH
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Скріншоти інтерфейсів ігор (рутинна робота)
1400 UAH
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