Ms. Yuri Kim, Korea University, South Korea
Yuri Kim is a Ph.D. candidate in Computer Science at Korea University 🎓, specializing in Natural Language Processing (NLP), machine learning, and algorithm development 🤖. She has extensive experience in academia and industry, having worked as a lecturer and researcher while managing projects in business automation. With a strong background in backend development and functional programming, she has contributed to multiple innovative projects, including AI-based systems and stock trading analytics 📈. As a recipient of prestigious scholarships and an active participant in startup programs, Yuri is dedicated to bridging AI with real-world applications 🚀.
Professional Profile:
ORCID
Suitability for Best Researcher Award
Yuri Kim is a highly suitable candidate for the Best Researcher Award, given her extensive contributions to Natural Language Processing (NLP), machine learning, and algorithm development. As a Ph.D. candidate at Korea University, she has made significant strides in both academic research and industry applications. Her ability to merge backend development and functional programming with AI-driven systems demonstrates a unique interdisciplinary expertise.
Education & Experience 🎓💼
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Korea University, Seoul, South Korea 🏫 (2020.09 – Present)
- Ph.D. Candidate in Computer Science
- Recipient of ICT Elite Talent Development Program Scholarship 🎖️
- Research Assistant 🔬
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Eötvös Loránd University, Budapest, Hungary 🇭🇺 (2016.09 – 2019.08)
- B.Sc. & M.Sc. in Computer Science (Integrated Program)
- GPA: 4.28 / 4.5 (Master’s) | GPA: 4.48 / 4.5 (Bachelor’s)
- Recipient of Stipendium Hungaricum (Hungarian Government Scholarship) 🎓
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The Mihalik Group, Chicago, IL (Remote) 🌍 (2023.08 – 2024.07)
- Project Manager (PM) 🏗️
- Developed in-house business automation software
- Managed resources, schedules, and project phases
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Korea University Graduate School of Education, Seoul 🏫 (2022.09 – 2023.02)
- Lecturer – Advanced Data Structures 📊
- Delivered lectures, designed exams, and instructional materials
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Eötvös Loránd University, Budapest 🇭🇺 (2018.02 – 2019.02)
- Lecturer – Functional Programming (Clean Language) 💡
- Taught programming concepts and designed assignments
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Ericsson, Budapest, Hungary 🌍 (2018.09 – 2019.01)
- Student Backend Developer 💻
- Developed performance test cases using C and conducted code reviews
Professional Development 🚀📚
Yuri Kim actively engages in cutting-edge research and innovative projects, focusing on NLP, machine learning, and AI-based automation 🤖. As a startup enthusiast, she has participated in entrepreneurial programs like the Korean I-Corps Program and the Innovation Startup School, where she developed AI-powered solutions, including a personalized makeup consulting system and a celebrity memorabilia auction platform 🎭. Additionally, she has managed and contributed to AI-driven projects such as audiobook auto-generation and motion slide automation 📈. With a passion for education, she has also worked as a lecturer, emphasizing functional programming and data structures.
Research Focus 🔬💡
Yuri Kim specializes in Natural Language Processing (NLP) 🗣️, machine learning 🧠, and algorithm development 📊, with applications in finance, education, and AI-driven automation. Her research includes developing rule-based stock trading recommendation systems 📈, serendipity-incorporated recommender systems 🎯, and Linked Data visualization tools 🌐. She also explores the interdisciplinary applications of functional programming and the enhancement of distributed computing ⚡. Her work contributes to improving data processing, AI-driven decision-making, and user engagement strategies across various domains, from stock market analytics to interactive learning platforms 📚.
Awards & Honors 🏆🎖️
- ICT Elite Talent Development Program Scholarship 📜 (Korea University)
- Stipendium Hungaricum Scholarship 🇭🇺 (Hungarian Government)
- 2024 Korean I-Corps Program 🚀 (AI-Based Personalized Makeup Consulting)
- 2023 Innovation Startup School – Team Tech School Track 💡 (AI-Based Celebrity Memorabilia Auction Platform)
Publication Top Notes:
📈📊”A Rule-Based Stock Trading Recommendation System Using Sentiment Analysis and Technical Indicators”
💻📖”Introduction to programming Using Clean”