Hi. My name is Hosung Joo. About my name, 'Ho' means light or bright, and 'sung' means sound. There, I've always wanted to spread such diverse light and sound in the world. It is not surprising that I was into music and spatial engineering. Taking light (i.e. electro-magnetic waves) into my life, I have naturally become an electrical engineer who looks after the technologies on wireless communication and signal processing.

I graduated from Korea Advance Institute of Science and Technology (KAIST) in 2019 (majored in EE with minor degree of CS; graduated with a report and an implementation of 3D image stitching), and I have a Master's degree from Korea University of Science and Technology (UST) for RF circuits and antenna design. (Thesis: Design of low-loss beam-steering array antenna) Consequently, I worked in Electronics and Telecommunication Research Institute (ETRI) as an antenna engineer from Mar. 2019 to Feb. 2021.

I am currently pursuing on my PhD (4th year; planning to address my thesis in summer of 2025) in Pohang University of Science and Technology (POSTECH) in the Department of Electrical Engineering. My research interests are based on integrated sensor applications including radar, X-ray imaging, 3D meta-structure design (think of the reflecting intelligent surface-RIS or the lens effect), 3D image and point-cloud classification and reconstruction, artificial intelligence (AI), and modern wireless communication with localization by information fusion. I am currently working on channel prediction topic with localization technique.

I am working on AI as an automatic processor on arbitrary signals. I think that positioning and localization problems should be studied for several side-channels including RF, sonic wave, computer vision and X-rays. I dream of cheap and convenient multimodal sensors for human beings to control computers easier (i.e. human-computer interface; HCI with better sensors). Therefore, my research question is "Where does the signal come from? and How much can we be sure of that?"

Also, I am always interested with brain-computer interfaces since I was a Science High School student (I was on the first place on Biology, Physics, and Computer Science at that time). If you happen to come up with some ideas in your mind, please do not hesitate to contact me. I love debating on those stuff.

You may look up my previous publications on here. Many of domestic (in-Korea) works were excluded.

I like to use the ID: zxcqa123

It is very convenient to type in with a QWERTY keyboard. By the way, the number '123' is from my birthday Dec., 3th.

You may contact me via e-mail when you type [email protected] / [email protected] / [email protected] ... so on.

(My Linkedin profile)

• Serving as an IEEE WCL Reviewer
• Serving as a JKICS Reviewer
• Served as an IEEE CCNC 2022' Reviewer
• Worked as an Antenna Engineer in ETRI, 2019-2021
• Worked as an Image Processing Engineer in a startup (Tomocube inc.), 2018
• Worked as a Data Scientist in a startup (BravePops Co.), 2015
• Worked as an Android Developer in a startup (now merged to Daum Kakao), 2014

• Implementation of Semantic Communication
• (3D) Image/Signal Processing
• RF/Circuit Design
• Logic Design & Mixed Integer Optimization
• Design/Implementation of Lens Antenna and Beam Switching/Steering Antenna
• Automotive Radar & Radome Design
• Implementation of FMCW Radar
• Multi-hop Wireless Network
• IoT Sensor Network & Robot Application (Awarded from UST-ICT fair, 3rd place)
• Reinforcement Learning Theory & Data Embedding
• Typical & Recent Techniques of Deep Learning
• Fairness & Privacy in Machine Learning
• Power-efficient Computation
  • Many of other skills were excluded.

I am an expert in teaching. I am good at producing materials to study over. I had been rigorously trained to maintain the readable quality of the materials since I started teaching others as a paid teaching assistant (TA) in 2003. (I was born in 1993. Pretty fast to be a TA, isn't it?) I can effectively explain with my every teaching materials, indeed.

My teaching ability comes from my learning experience. I was always summarizing the ideas that I've heard of, thus, I was able to reproduce what I've learned.

• 2024 POSTECH and Yonsei University TA & Session Lecturer on Neural Network and Reinforcement Learning(EECE695-O/CSE5023)
• 2023 POSTECH TA on Introduction to Artificial Intelligence(EECE695-V)
• 2023 POSTECH and Yonsei University TA & Session Lecturer on Signals & Systems(EECE233-01), Neural Network and Reinforcement Learning(EECE695-O/CSE5023) (My handout), (My code example on S&S), (My code example on NNRL)
• 2022 POSTECH Head TA & Session Lecturer on Introduction to Artificial Intelligence(EECE695-V)
• 2022 POSTECH Research TA on IRP(High school students' Research Program), Topic: Homomorphic Encryption and Privacy-Preserving Deep Learning.
• 2022 Took a Teaching Methodology (extracurriculum) course in POSTECH. (certificate)
• 2021 POSTECH TA on Introduction to Artificial Intelligence(EECE695-V)
• 2018 Paid 'Hakwon' ("Wisemann Genius Teaching" in Cheonan, South Korea) Teacher on Math Olympiad, high school level of Biology and EE-based high school~college level of Chemistry for the students entering the Science High School
• 2011-2015 Paid Home-school Teacher + Paid School (extracurriculum) Teacher on Math, Physics in GYEONGGI ACADEMY OF FOREIGN LANGUAGES
• 2005 Paid Home-school Teacher on elementary science (My student got awarded from a science fair!)
• 2003-2005 Paid TA for English home school

• AiSLab (POSTECH) student leader, 2022.7 to 2024.2
  • Lab Safety Manager, 2022.7 to 2024.2
  • Lab student admin, 2022.7 to 2024.2
• AiSLab (POSTECH) Communication Group, Study Leader, from 2023.9 to 2024.1 (Phase 1. The works were conducted as an open-source GitHub Project.)
• Served as the representative of social service agents for National Tax Office in Cheonan, South Korea. 2015-2017
• Founded a student crew in KAIST (name: FUZE), 2014.
  • "We fuze music, we fuze people"
  • I told you I was into music. The crew holds 50+ members for now. I've made up the rules and systems for it.

• Channel Prediction & Estimation
• 3GPP / IEEE Standards
• 3D Structure Design & 3D Image Reconstruction
• RF Devices & Antenna
• Signal Processing & System
• Modern Wireless Communication
• Artificial Intelligence
• Compressed Sensing, Remote Sensing
• Information Fusion
• Sparse Dictionary Learning & Representation
• Positioning & Localization
• Computer Vision & Pattern Recognition