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SeoI Hong

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Research Interests

  • Sound Data Processing, Natural Language Processing, Large Language Model

Education

Dongguk University ~ Seoul, Korea

  • Bachelor of Arts in Public Administration

  • Bachelor of Science in Software Convergence ~ Mar. 2016 - Feb. 2024

  • Master of Science in Artificial Intelligence

    ~ Mar. 2024 - Current

Research Experience

Data Augmentation for Elderly Voice Data

~ Feb. 2024 - Current

Research Assistant(Advisor: Jihie Kim, Ph.D)

  • Researched data augmentation techniques for analyzing elderly voice data
  • Performed EDA on eldery sound data and its STT data for understaning and preprocessing appropriate data
  • Proactively fine-tuned Whisper model using Hugging Face and built a PyTorch-based dataloader

Detecting Optimal Model for classifying pancreatic cancer based on biomarker levels using Machine Learning ~ Nov. 2023 - Current

Research Assistant (Advisor: Jihie Kim, Ph.D)

  • Analyzed the use of machine learning to identify optimal biomarker models
  • Applied 5 Machine Learning algolithm(SVM, Logistic Regression, Random Forest, XGBoost, LGBoost) to biomedical dataset and analyzed results
  • Enhanced the performance of the model on various classification tasks by selecting the best model for each metric and task

Exploratory Study on Long-Term Forecasting Methods for Discretionary Expenditures ~ Oct. 2023 - Current

Research Assistant (Advisor: Young Min Oh, Ph.D)

  • Performed comparative analysis of time series data-based future budget forecasting using traditional Economic(VAR, Linear Regressing), Machine Learning(Linear Regression, XGBoost), and Deep Learning(LSTM, RNN) methods
  • Demonstrated proficiency in data collection and preprocessing techniques to prepare data for modeling

Project Experience

Deep Learning based Home Gardening Management Service ~ Sep. 2023 - Dec. 2023

  • Developed an AI-based service to help users manage their home gardening crops
  • Demonstrated expertise in designing and implementing Deep Learning models for mobile applications, achieving high accuracy(94.2%) in crop disease image classification tasks
  • Proactively designed and deployed Deep Learning models on AWS EC2 servers, utilizing PyTorch and Flask for efficient web service development

S1 and S2 Detection Project using Heart Sound Data ~ Nov. 2023 - Dec. 2023

  • Developed a system to detect S1 and S2 heart sounds using Deep Learning techniques
  • Preprocessed data by applying techniques such as sound filtering, normalization, and repeating methods to optimize it for SSD and YOLOV5 models
  • Conducted experiments with different preprocessing methods to identify the optimal configuration for each model

Dongguk University Reservation Web Service Development ~ Mar. 2023 - June 2023

  • Developed a Web service for students to reserve facilities at Dongguk University
  • Demonstrated proficiency in data collection, organization, and database management using MySQL, contributing to the efficient development and launch of the service
  • Designed a MySQL database schema to optimize data storage and retrieval

Seoul Apartment Price Prediction Service using LSTM ~ June 2022 - Aug. 2022

  • Built a web service to predict apartment prices in Seoul using LSTM models
  • Built a MySQL database utilizing APIs provided by a Public Data Portal
  • Integrated the database with the web frontend using PHP, enabling seamless data access and manipulation

Relevent Coursework

[~A]: iffel NLP Research Course 5th(ModuLab)

~ June 2023 - Dec. 2023

*Studied Artificial Intelligence, with a particular emphasis on natural language processing (NLP) and foundational knowledge in the field of AI*

[~D]: ata Science for Intelligent Software Engineering Program(Dongguk University)

~ June 2022 - Aug. 2022

*Focused on Machine Learning through coursework and projects*

Awards and Honors

Award of Excellence, Big Data-based 2023 Alley Economy Revitalization Project

~ Oct. 2023

Award of Excellence, 2023 Winter ICIP & Capstone Design Competition Results Presentation

~ Dec. 2023

Certificate

Advanced Data Analytics Semi-Professional(ADsP), KOREA Data Agency ~ Feb. 2023

TEPS 350, The TEPS Council ~ Dec. 2023

TOEIC 950, YBM ~ Dec. 2021

Skills

Programming Languages: Python, JAVA, SQL, PHP

Tools and Frameworks: Git, PyTorch, Keras, scikit-learn, Linux, MySQL, HTML/CSS,$\LaTeX$

Languages: Korean (native), English (Proficient), Japanese (Conversational)

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