Eunsom Jeon

Eunsom Jeon

Assistant Professor @ SeoulTech

I am Eunsom Jeon (전은솜), an Assistant Professor at Seoul National University of Science and Technology (SeoulTech). I lead Intelligent Media and Recognition Lab (지능형 미디어 연구실, IMRL). My current research interests include knowledge distillation, multimodal data analysis (video, image, and time-series data analysis), human behavior analysis, deep learning, and artificial analysis.

Prior to SeoulTech, I was a Postdoctoral Researcher at ASU and worked at Geometric Media Lab with Prof. Pavan Turaga. I received Ph.D. degree from Arizona State University, Tempe, AZ, USA, under the supervision of Prof. Pavan Turaga. Before joining ASU, I worked as a Research Engineer at Korea Telecom (Institute of Convergence Technology), Seoul, Korea. I received Bachelor and Master’s degree from Dongguk University, Seoul, Korea, and worked as a research assistant with Digital Media Lab advised by Prof. Kang Ryoung Park.

  • Note: I am actively looking for self-motivated graduate and undergraduate students to join my lab!

  • News: Seoultech Interview

Education

  • Ph.D. Computer Engineering (Electrical Engineering), Arizona State University, Tempe, AZ, USA (January 2020 ~ October 2023)
    • Advisor: Pavan Turaga, Committee: Baoxin Li, Hyunglae Lee, Suren Jayasuriya
    • Thesis: Knowledge Distillation with Geometric Approaches for Multimodal Data Analysis
  • M.S. Electronics and Electrical Engineering, Dongguk University, Seoul, Korea
    • Advisor: Kang Ryoung Park
    • Thesis: Study on the Approach to Human Detection in Thermal Image
  • B.S. Electronics and Electrical Engineering, Dongguk University, Seoul, Korea

Professional Experience

  • Seoul National University of Science and Technology, Seoul, Korea (September 2024 ~ present)
    • Assistant Professor, Dept. of Computer Science and Engineering
    • Research efficient models for multimodal data analysis (video, image, time-series, etc.), human activity recognition.
    • Research generative AI (Image, T2I, etc.).
  • Arizona State University, Tempe AZ, USA (October 2023 ~ August 2024)
    • Postdoctoral Researcher - Geometric Media Lab (with Prof. Pavan Turaga)
    • Researched and developed modules for human activity recognition and generative AI.
  • SRI International, Princeton, NJ, USA (May 2021 ~ August 2021)
    • Intern - Center for Vision Technologies, Information & Computing Sciences Division
    • Researched and developed modules for people detection (body, face, and gesture joint detection), tracking, and action recognition for an education assessment system
  • Korea Telecom, Seoul, Korea (January 2016 ~ January 2020)
    • Research engineer - Institute of Convergence Technology
    • Developed a real-time system for people detection and recognition by using a wearable camera with 5G, which was presented in Mobile World Congress 2019 in Barcelona
    • Developed a real-time people counting and attribute analysis system based on deep learning models for computer and embedded applications
    • Researched and developed a real-time gesture/motion recognition and matching systems for computer and mobile applications

Publications (selected)

  • Deep Geometric Moments Promote Shape Consistency in Text-to-3D Generation, WACV, 2025, Feb (Tucson, AZ, USA) (Accepted)
    Utkarsh Nath, Rajeev Goel, Eun Som Jeon, Changhoon Kim, Kyle Min, Yezhou Yang, Yingzhen Yang, Pavan Turaga
  • Uncertainty-aware Topological Persistence Guided Knowledge Distillation on Wearable Sensor Data, IEEE Internet of Things Journal, 2024 [pdf]
    Eun Som Jeon, Matthew P. Buman, Pavan Turaga
  • Topological Persistence Guided Knowledge Distillation for Wearable Sensor Data, Engineering Applications of Artificial Intelligence, 2024 [pdf]
    Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Hyunglae Lee, Matthew P. Buman, Pavan Turaga
  • Constrained Adaptive Distillation Based on Topological Persistence for Wearable Sensor Data, IEEE Transactions on Instrumentation and Measurement, 2023 [pdf]
    Eun Som Jeon, Hongjun Choi, Ankita Shukla, Yuan Wang, Matthew P. Buman, Pavan Turaga
  • Robust Time Series Recovery and Classification Using Test-Time Noise Simulator Networks, ICASSP, 2023 June (Rhodes, Greece) [code] [pdf]
    Eun Som Jeon, Suhas Lohit, Rushil Anirudh, and Pavan Turaga
  • Understanding the Role of Mixup in Knowledge Distillation: An Empirical Study, WACV, 2023, Jan (Hwaii, USA) [code] [pdf]
    Hongjun Choi, Eun Som Jeon, Ankita Shukla, and Pavan Turaga
  • Leveraging Angular Distributions for Improved Knowledge Distillation, Neurocomputing, 2023 [code] [pdf]
    Eun Som Jeon, Hongjun Choi, Ankita Shukla, and Pavan Turaga
  • Role of data augmentation strategies in knowledge distillation for wearable sensor data, IEEE Internet of Things Journal, 2021 [pdf]
    Eun Som Jeon, Anirudh Som, Ankita Shukla, Kristina Hasanaj, Matthew P. Buman, and Pavan Turaga

More articles in Publications

For more info

More info about me can be found in cv. Please email me (ejeon6 at seoultech dot ac dot kr)