Hello there! I work on creating AI that advances the world through the analysis and understanding of data. I specialize in delving deeply into complex data structures to clarify and extract valuable insights for problem-solving. Through various projects, I have strengthened data-driven decision-making and developed efficient algorithms for practical problem resolution. With these experiences, I aim to continuously learn and grow, enjoying new challenges in the fields of data science and artificial intelligence.

• MS Student (2023 - ), Department of Software Convergence, Kyung Hee University
• BE in Software Convergence, Kyung Hee University (2023)
• BS in Astronomy & Space Science, Kyung Hee University (2023)

• MS students at Artificial Intelligence & Medical Science Lab, Kyung Hee University, Korea, 2023.03 ~. Lab site
• Undergraduate Researcher at Artificial Intelligence & Medical Science Lab, Kyung Hee University, Korea, 2022.08 ~ 2023.03.
• Undergraduate Researcher at AIR(Small Satellite, CubeSat, and Science Payload) Lab, Kyung Hee University, Korea, 2020.07 ~ 2020.09.

• Generative AI (Natural Language Processing)
• Neural decoding / Brain-computer Interface（BCI）
• Signal processing techniques (Experience in EEG, EDA, etc.)
• Multimodal AI
• Network science / Graph-theoretical analysis

• A multimodal interactive dashboard for user experience evaluation [2023 CSA Oral session]
• Developing an integrated dashboard to analyze multimodal data for user experience evaluation [2023 ICCE-asia poster session]
• LMR-CL: Learning Modality-Fused Representations with Contrastive Loss for Multimodal Emotion Recognition, 2023.02~2023.06. fin [2023 KCC Oral session]
• EEG-Based Emotion Recognition in a Virtual Reality Environment Using Functional Brain Connectivity, 2022.01~2023.02. fin [2022 KSC poster presentation]
• AI Hub Hackathon Competition based on Learning Data, specifically in the field of utilizing AI Hub's beekeeping training data, developed a deep learning-based system for classifying different bee species.
• SV Software Technology and Innovation Program at San Jose State University, located in Silicon Valley, 2022.06~2023.08. fin
• Analysis of a CubeSat Magnetic Cleanliness for the Space Science Mission, 2020.07~2020.09. fin [2021 KSSS poster presentation]

• (2023-06) Team AIMS (Juhyuk, Hye Jeong, Tae Seong) won the 2nd prize at the **2023 ETRI Human Understanding Artificial Intelligence Paper Contest [2023 KCC Oral session and 2nd Prize]. : news1 news2 news3
• (2023-02) Received the best Presentation Award at Korea Korea Software Congress 2022 Poster Presentation.
• (2023-02) 2023 Korea Space Science Association President's Award.
• (2022-11) Ranked 2nd in 2022 AI Hub Learning data-based hackathon competition: news1
• (2022-08) San Jose State University SV Software Technology and Innovation Program, Received the Outstanding Effort prize.
• (2022-04) Selected as an Excellent College Student in Cheonan City in 2022.

• Jo, Hye Jeong, et al. "Analysis of a CubeSat Magnetic Cleanliness for the Space Science Mission." Journal of Space Technology and Applications 2.1 (2022): 41-51.

• Hyejeong Jo, Won Hee Lee, EEG-based emotion recognition in VR using functional brain networks and graph theoretical measures, Human Brain Mapping Annual Conference, Seoul, Republic of Korea, June, 2024.
• Hyejeong Jo, Junheok Lee, Hyewon Park, Minjae Kim, Yeonwoo Kim, Won Hee Lee,  A multimodal interactive dashboard for user experience evaluation, The 15th International Conference on Computer Science and Its Applications, Nha Trang, Vietnam, Dec 18-20, (2023).
• Hyejeong Jo, Junhyeok Lee, Hye Won Park, Minjae Kim, Yeonwoo Kim, Won Hee Lee, Developing an integrated dashboard to analyze multimodal data for user experience evaluation, The 8th International Conference on Consumer Electronics (ICCE) Asia, Busan, South Korea, Oct 23-25, 2023.
• Hyejeong Jo, Juhyeok han, Taeseong Kim, Won Hee Lee LMR-CL: LMR-CL: Learning Modality-Fused Representations with Contrastive Loss for Multimodal Emotion Recognition. Korea computer congress (KCC) (co-first author).
• Hyejeong Jo, Ji Hyeon Jeong, Won Hee Lee.(2022).EEG-Based Emotion Recognition in a Virtual Reality Environment Using Functional Brain Connectivity (KSC),(),1474-1476.(Best Presentation Award).

• Hyejeong Jo, Yiqian Yang, Juhyeok Han, Yiqun Duan, Hui Xiong, Won Hee Lee, Are EEG-to-Text models working?, Arxiv, 2024.

• 멀티모달 사용자 경험 평가 분석 도구 (등록번호: C-2023-053985)
• 가상현실 환경에서 측정된 뇌파 신호 네트워크 기반 분석 및 시각화 도구 프로그램 (등록번호: C-2023-044703)
• 멀티모달 데이터 융합을 통한 딥러닝 기반 감정 인식 모델 (등록번호: C-2023-044705)
• 사용자 경험 평가를 위한 멀티모달 데이터 분석 기반 인터랙티브 대시보드 (등록번호: C-2023-044704)

• 멀티모달 데이터의 융합을 기반으로 감정을 인식하기 위한 장치 및 방법