Ms. Yuri Kim | Natural Language Processing | Best Researcher Award

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 🎓💼

Korea University, Seoul, South Korea 🏫 (2020.09 – Present)
- Ph.D. Candidate in Computer Science
- Recipient of ICT Elite Talent Development Program Scholarship 🎖️
- Research Assistant 🔬
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) 🎓

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
Korea University Graduate School of Education, Seoul 🏫 (2022.09 – 2023.02)
- Lecturer – Advanced Data Structures 📊
- Delivered lectures, designed exams, and instructional materials
Eötvös Loránd University, Budapest 🇭🇺 (2018.02 – 2019.02)
- Lecturer – Functional Programming (Clean Language) 💡
- Taught programming concepts and designed assignments
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”

Mr. Hongzhen Cui | University of Science and Technology Beijing | China

🎓 Hongzhen Cui, an IEEE and CCF member, is a passionate researcher pursuing a Ph.D. in Computer Science and Technology at the University of Science and Technology Beijing (Expected 2025). His research 🌐 focuses on Natural Language Processing (NLP), Knowledge Graphs, Deep Learning, and interdisciplinary medical-engineering applications, including cardiovascular disease prediction ❤️. Hongzhen has industry experience as a System R&D Engineer at Meituan 💻 and academic experience as a Computer Science Lecturer at Zaozhuang University 👨‍🏫. His diverse background blends technical innovation and academic excellence, driving advancements in AI and healthcare technologies 🚀

Suitability for Best Researcher Award

Hongzhen Cui is a highly suitable candidate for the Best Researcher Award due to his impactful research in Natural Language Processing, Knowledge Graphs, and Deep Learning, with significant applications in medical-engineering, particularly cardiovascular disease prediction. His blend of academic excellence, industry innovation at Meituan, and active involvement in IEEE and CCF showcases his commitment to advancing AI technologies for real-world healthcare solutions.

Education 🎓

📚 Ph.D. in Computer Science and Technology (Expected 2025)
University of Science and Technology Beijing, China

🎓 Master of Engineering in Computer Science and Technology (2018)
Harbin Engineering University, China

🎓 Bachelor of Engineering in Computer Science and Technology (2015)
Zaozhuang University, China

Professional Experience 💼

💻 System R&D Engineer (2018–2019)
Meituan, Beijing

Developed large-scale distributed systems 🌐
Collaborated with cross-functional teams 🤝

👨‍🏫 Computer Science Lecturer (2019–2021)
Zaozhuang University

Taught courses like Data Structures, Algorithms, and Networks 📊
Mentored students in academic and research projects 📚

Professional Development

🚀 Hongzhen Cui has demonstrated continuous professional growth through diverse roles in academia and industry. At Meituan, he honed his skills in large-scale system development 💻, contributing to high-performance solutions. Transitioning to academia, he served as a Lecturer 👨‍🏫 at Zaozhuang University, inspiring students in subjects like Algorithms and Software Engineering 📘. His membership in IEEE and CCF 🌐 reflects his commitment to staying at the forefront of technological advancements. Currently pursuing his Ph.D., he actively engages in cutting-edge research in NLP, knowledge graphs, and AI-driven healthcare applications ❤️.

Research Focus

🔍 Hongzhen Cui’s research spans multiple domains within computer science and medical technology. His primary focus is on Natural Language Processing (NLP) 🗣️, enabling machines to understand human language. He explores Knowledge Graphs 🌐 to structure complex data relationships and applies Deep Learning 🤖 for intelligent data analysis. In the medical field, he specializes in Cardiovascular Disease Feature Mining ❤️, Disease Information Extraction 🏥, and Disease Prediction and Analysis 📊. His interdisciplinary approach bridges technology and healthcare, aiming to improve diagnostic accuracy and predictive modeling in medical informatics.