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YongTaeIn/README.md

Typing SVG

πŸ”¬ Main Research Areas

AI IoT Robotics

🌟 My Vision


πŸ‘¨β€πŸ’» About Me

As an AI Researcher & Developer, I specialize in the convergence of Deep Learning, Reinforcement Learning, and IoT Systems to advance next-generation intelligent technologies.

🎯 Research Interests:

  • Designing intelligent systems that integrate AI (Deep Learning & Reinforcement Learning) with IoT devices.
  • Analyzing data collected from IoT devices and providing AI(Deep-Learing)-driven solutions.
  • Exploring Multimodal AI, with a particular focus on Multimodal Large Language Models (MLLMs).
  • Applying robotics to create AI-driven solutions that make the world more convenient.
  • Proposing technology policies for Seoul, connecting emerging technologies with practical urban innovation strategies.

πŸ”¬ Research Experience:

  • Technology Policy Proposal for Seoul Metropolitan Government
    Affiliation: The Seoul Institute
    Role: Researcher
    Research Period: April 2026 ~ Present

  • AI-based Industrial Safety Service
    Affiliation: Doublt T Co., Ltd.
    Research Period: June 2025 ~ March 2026

  • User-Friendly Interface Technology for Safe Operation of Unmanned Vehicles
    Affiliation: Autonomous Intelligent System Lab, Sejong University
    Supported by: Ministry of Science and ICT (MSIT), South Korea
    Research Period: August 2023 ~ February 2025

  • Primary Lithium Battery Life Prediction and Remaining Capacity Measurement for Industrial IoT Devices
    Affiliation: Autonomous Intelligent System Lab, Sejong University
    Supported by: Ministry of Trade, Industry and Energy (MOTIE), South Korea
    Research Period: July 2022 ~ December 2024

  • Connected Intelligent Sensor Platform Technology for Network-Based Sensors
    Affiliation: Autonomous Intelligent System Lab, Sejong University
    Supported by: Ministry of Trade, Industry and Energy (MOTIE), South Korea
    Research Period: March 2022 ~ August 2022

πŸ’‘ Vision:
I strive to bridge the gap between AI technologies and real-world applications, creating intelligent systems that enhance everyday life through the integration of robotics and IoT.


πŸ’Ό Career & Education

🏒 Work Experience

  • πŸ’Ό 1 April 2026 ~ Present : Researcher, AI & Big Data Research Division | The Seoul Institute
  • πŸ’Ό 23 June 2025 ~ March 2026 : AI Researcher, AI Development Team, SW Development Division | Doublt T Co., Ltd.

πŸŽ“ Education

  • πŸŽ“ 1 March 2023 ~ 14 February 2025 : Master's Degree in Sejong University | Autonomous Intelligent System Lab (Graduated)
  • πŸ“š 1 March 2022 ~ 17 February 2023 : Undergraduate Research Intern | Autonomous Intelligent System Lab
  • πŸŽ“ 1 March 2021 ~ 17 February 2023 : Bachelor's Degree in Sejong University (Graduated)
  • πŸ“– 1 March 2017 ~ 18 January 2021 : Hankyong National University (Transferred)

πŸ“ Publications

πŸ“„ Journal Papers

🌍 International Conferences

πŸ‡°πŸ‡· Domestic Conferences


πŸ“œ Patents

πŸ‡°πŸ‡· Domestic Patents

🌍 International Patents

  • πŸ‡ΊπŸ‡Έ METHOD OF INTEGRALLY OPTIMIZING PARAMETERS
    • Application No.: US 18/460,636
    • Filing Date: 4 September 2023
    • Country: United States (USPTO)
    • Status: πŸ”„ Pending
    • Related to: KR 10-2022-0111894

πŸ† Awards & Achievements

Date Competition Award Role Organizer
8 March 2024 1st AI Drone Competition πŸ₯ˆ Silver Prize Team Member Intosky
28 November 2022 6th Mobius International Developer Competition πŸ₯‰ Best User App Prize Team Leader Korea Electronics Technology Institute (KETI)

πŸ“š Tech Stacks

πŸ’» Programming Languages & Web


πŸ€– Deep Learning & Data Science


🦾 Robotics & Simulation

πŸ”Œ Embedded Systems

🌐 IoT & Data Streaming

πŸ›  DevOps & Tools



πŸ“Š GitHub Stats

Profile Details

Stats


πŸ“« Contact & Links

Tistory Medium Gmail Work Email


πŸ’‘ "Keep Learning, Keep Growing"

Pinned Loading

  1. Transformer-Encoder-model-for-time-series Transformer-Encoder-model-for-time-series Public

    Transformer code

    Jupyter Notebook 3 1

  2. Autoformer_encoder_time_series Autoformer_encoder_time_series Public

    Autoformer_encoder code for predict time series data.

    Jupyter Notebook 3

  3. Gesture_Recognition Gesture_Recognition Public

    Gesture_Recognition using mediapipe and Pytorch

    Jupyter Notebook 3

  4. Safety-Services-for-Personal-Mobility-Devices Safety-Services-for-Personal-Mobility-Devices Public

    Python 2 2