Yongjae Yoo Ph.D.

Electrical & Computer Engineering,
Seoul National University

Samsung Electronics
MX (Mobile eXperience) Business

Communication Processor R&D Team
Staff Engineer (과장) / System Development

• Home: https://lowbyyj.github.io
• Phone: (+82) 02 880 8434 (currently-unavailable)
• Email: yooyongjae@gmail.com

Current Role

Intelligent Connectivity Development

• Bluetooth Channel Sounding
• Wi-Fi CSI data analysis
• AI Home Device

• RAG-augmented LLM chatbot

  _{details withheld due to company policy}

Research Interests

• Systems / computer structures related to wireless networks
• Physical / software solutions for problems in such systems
• Security analysis & mitigation in wireless networks and mobile devices
• Network functions & performance improvement for IoT devices
• Real-world cellular network measurement & technique development using drones and diverse equipment
• Machine learning applications to the above problems

Recent Research Issues

Drone Networks On-the-air network measurements, real-world experiments, custom Android application, reinforcement learning, maintaining connectivity, mmWave communication, beam selection, polarization alignment, commercial base station analysis

Mobile Edge Computing, AI

Education

Seoul National University, Seoul, Republic of Korea Ph.D. in Electrical and Computer Engineering, Feb. 2025

• Thesis: System Design and Analysis for Communication in Aerial Networks

Seoul National University, Seoul, Republic of Korea B.S. in Department of Electrical and Computer Engineering, Feb. 2019

Experience

Exchange Student at The University of Tokyo, Tokyo, Japan Department of Information and Communication Engineering Sep. 2017 – Mar. 2018

• Language Ability: JLPT N1 (Japanese Language Proficiency Test, Highest level certified)
• Coursework: Artificial Intelligence (Prof. Hitoshi Iba), Human Interface (Prof. Takeshi Naemura)

Military Service in Korean Army Technical Research Personnel Mar. 2022 – Feb. 2025

Leadership / Teaching

Ubiquitous Network Laboratory (SNU)

• Lab Captain, Jan. 2023 – Dec. 2023
• Application Team Leader Jan. 2023 – Dec. 2023
• Intern training, Jul. 2022 – Aug. 2022
• Intern training, Jul. 2024 – Feb. 2025

Department of Electrical and Computer Engineering, SNU

• 400.420 Engineering Research Practice 2, Wi-Fi signal CSI analysis and machine learning application, Spring 2020
• 400.420 Engineering Research Practice 2, Spatial information analysis using Wi-Fi CSI data, Fall 2020
• 430.405 Design Project for Electrical Devices & Systems, Wi-Fi CSI Analysis Study for People Counting with Obstacles in Disaster Sites, Spring 2022

Research Project

Agreement Manager, Development of 6G Framework Guaranteeing Application Performance — supported by IITP (Korea), high-level application–network programmable interface technology development; April 2024 – December 2024

Center Officer, Research on Ultra Reliable Aerial Network framework Supporting High-density Urban Air Mobility — supported by MSIT (Korea) under the ITRC program, supervised by IITP; Jul. 2021 – Mar. 2023

Participating Researcher, Research on Wireless PHY/MAC-based Secure Human/Region Differentiation — supported by Samsung Research; 2019 – 2020

Selected Recent Publications

1. Yongjae Yoo, Jihwan Suh, Dongrak Choi, Jeongyeup Paek, and Saewoong Bahk, ASCEND: Altitude Selection for High-quality Cellular Connectivity on Drones, IEEE Transactions on Vehicular Technology, Aug. 2025.

2. Yongjae Yoo, Jihwan Suh, Jeongyeup Paek, and Saewoong Bahk, Secure Region Detection using Wi-Fi CSI and One-Class Classification, IEEE Access, Vol. 9, pp. 65906–65913, Apr. 2021.

3. Yongjae Yoo, Jihwan Suh, Yonghun Lee, Seongjoon Kang, Byungjun Kim, and Saewoong Bahk, Privacy-preserving People Counting with Channel State Information, ICTC (International Conference on Information and Communication Technology Convergence), Oct. 2020.

4. Dokyun Ryoo, Yongjae Yoo, Jeongyeup Paek, and Saewoong Bahk, NOVA: Navigation Optimization via UWB-Assisted Iterative Path Planning for UAV Delivery, IEEE INFOCOM 2026, Tokyo, Japan, May 18-21, 2026.

5. Jeongyoon Heo, Yongjae Yoo, Jihwan Suh, Woojin Park, Jeongyeup Paek, and Saewoong Bahk, FMS-AMS: Secure Proximity-based Authentication for Wireless Access in Internet of Things, Journal of Communications and Networks (JCN), Vol. 22(4), pp. 338–347, Aug. 2020.

6. Jihwan Suh, Yongjae Yoo, Jeongyeup Paek, and Saewoong Bahk, Deep-Fading Hole Avoidance for Secure Region Detection using Channel State Information, JCN, Vol. 24(6), pp. 645–654, Dec. 2022.

7. Dokyun Ryoo, Yongjae Yoo, Jeongyeup Paek, and Saewoong Bahk, SPADE: Secure Periodic Advertising using Coded Time-Channel Rendezvous for BLE Audio, DCOSS-IoT, Best paper runner-up, Coral Bay, Pafos, Cyprus, Jun. 19–21, 2023.

8. Dongrak Choi, Yongjae Yoo, Yubin Choi, Jeongyeup Paek, and Saewoong Bahk, Escaping from the Shadow: Bottleneck-Aware UAV Placement for High-Throughput Relaying, IEEE VTC2026-Spring, Nice, France, Jun. 9-12, 2026 (accepted for presentation).

Certifications & Licenses

Pilot of an Ultra Light Vehicle — Unmanned Multicopter (Rating 3rd), Korea Transportation Safety Authority — Issued: 2023-05-11

Samsung Software Certificate — Advanced

Data Science Specialist — Level 2

Generative AI Power User — Level 3

AI Builder Hackathon — Google Cloud x Samsung Electronics
Issued by Explore Google Cloud

References

Google Scholar — https://scholar.google.co.kr/citations?user=O4IdPk4AAAAJ
IEEE Authors — https://ieeexplore.ieee.org/author/37088591598
LinkedIn — https://www.linkedin.com/in/lowbyyj/