Taeho Kim

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Taeho Kim

I am an applied scientist at Amazon Web Services. I worked with my advisor, Professor Sangtae Ha, in the Internet Systems Lab (ISL). My scholarly and creative works have been shown at international conferences, such as IEEE, ACM, and more. I received a Bachelor of Science in Computer Science and Engineering from Korea University in 2018, a Master of Science in Computer Science from the University of Colorado Boulder in 2022, and a Doctor of Philosophy in Computer Science from the University of Colorado Boulder in 2024. My research interests are Deep Learning, Mobile Computing, the Internet of Things, and Healthcare.

Email: taehokim AT amazon DOT com [Google Scholar] [LinkedIn]
[Resume (2 pages)] (updated 09/17/2024)

2795 Augustine Dr,
Santa Clara, CA 95054, USA

News

  • 09/2024: Started work as an applied scientist at Amazon Web Services
  • 08/2024: Successfully defended my thesis “Systems for Deep Learning Model Training and Inference in Resource-Constrained Environments”
  • 04/2024: Our LLMem paper is accepted to IJCAI 2024, (Long talk – top 2.27% of submissions)
  • 08/2023: Returned to school after completing my internship at Amazon Web Services
  • 08/2022: Returned to school after completing my internship at Amazon Web Services
  • 07/2022: Our CPrune paper is accepted to ECCV 2022
  • 07/2021: Our eBP journal paper is published to Communications of the ACM
  • 06/2021: Our Wake journal paper is published to IEEE Transactions on Mobile Computing
  • 07/2020: Our Epileptic seizure review paper is published to Frontiers in Neurology – Epilepsy
  • 03/2020: Our WAKE and Painometry papers are accepted to ACM MobiSys 2020
  • 12/2019: V2V Message Security for Platoons through Low-Power Beaconing paper is accepted to Sensors
  • 10/2019: Our eBP paper is received Best Paper Award at ACM MobiCom 2019
  • 07/2019: Our eBP paper is accepted to ACM MobiCom 2019
  • 05/2019: Received the ACM MobiSys 2019 Student Travel Grant award
  • 04/2019: RF-based Drone Localization paper is accepted to ACM DroNet 2019 (conjunction with ACM MobiSys 2019)
  • 04/2019: Earable demo is accepted to ACM MobiSys 2019 Demo

    • Publications

    1. LLMem: Estimating GPU Memory Usage for Fine-Tuning Pre-Trained LLMs [PDF]

      Taeho Kim, Yanming Wang, Vatshank Chaturvedi, Lokesh Gupta, Seyeon Kim, Yongin Kwon and Sangtae Ha,
      IJCAI 2024

    2. CPrune: Compiler-Informed Model Pruning for Efficient Target-Aware DNN Execution [PDF]

      Taeho Kim, Yongin Kwon, Jemin Lee, Taeho Kim and Sangtae Ha,
      ECCV 2022

    3. eBP: an ear-worn device for frequent and comfortable blood pressure monitoring [PDF]

      Nam Bui, Nhat Pham, Jessica Jacqueline Barnitz, Zhanan Zou, Phuc Nguyen, Hoang Truong, Taeho Kim, Nicholas Farrow, Anh Nguyen, Jianliang Xiao, Robin Deterding, Thang Dinh and Tam Vu,
      Communications of the ACM

    4. Detection of Microsleep Events with a Behind-the-ear Wearable System [PDF]

      Nhat Pham, Tuan Dinh, \underline{Taeho Kim}, Zohreh Raghebi, Nam Bui, Hoang Truong, Tuan Nguyen, Farnoush Banaei-Kashani, Ann Halbower, Thang N. Dinh, Vp Nguyen and Tam Vu,
      IEEE Transactions on Mobile Computing

    5. Epileptic Seizure Detection and Experimental Treatment: A Review [PDF]

      Taeho Kim, Phuc Nguyen, Nhat Pham, Nam Bui, Hoang Truong, Sangtae Ha and Tam Vu,
      Frontiers in Neurology – Epilepsy

    6. WAKE: A Behind-the-ear Wearable System for Microsleep Detection [PDF]

      Nhat Pham, Tuan Dinh, Zohreh Raghebi, Taeho Kim, Nam Bui, Phuc Nguyen, Hoang Truong, Farnoush Banaei-Kashani, Ann Halbower, Thang N. Dinh and Tam Vu,
      ACM MobiSys 2020

    7. Painometry: Wearable and Objective Quantification System for Acute Postoperative Pain [PDF]

      Hoang Truong, Nam Bui, Zohreh Raghebi, Marta Ceko, Nhat Pham, Phuc Nguyen, Anh Nguyen, Taeho Kim, Katrina Siegfried, Evan Stene, Taylor Tvrdy, Logan Weinman, Thomas Payne, Devin Burke, Thang Dinh, Sidney D’Mello, Farnoush Banaei-Kashani, Tor Wager, Pavel Goldstein and Tam Vu,
      ACM MobiSys 2020

    8. Vehicle-to-vehicle (V2V) Message Content Plausibility Check for Platoons through Low-Power Beaconing [PDF]

      Hyogon Kim and Taeho Kim,
      Sensors 2019, 19(24)

    9. eBP: A Wearable System For Frequent and Comfortable Blood Pressure Monitoring From User’s Ear [PDF]

      Nam Bui, Nhat Pham, Jessica Barnitz, Zhanan Zou, Phuc Nguyen, Hoang Truong, Taeho Kim, Nicholas Farrow, Anh Nguyen, Jianliang Xiao, Robin Deterding, Thang Dinh and Tam Vu,
      ACM MobiCom 2019

    10. Towards RF-based Localization of a Drone and Its Controller [PDF]

      Phuc Nguyen, Taeho Kim, Jinpeng Miao, Daniel Hesselius, Erin Kenneally, Daniel Massey, Eric Frew, Richard Han and Tam Vu,
      DRONET 2019 (conjunciton with ACM MobiSys 2019)

    11. Demo: Earable – An Ear-Worn Biosignal Sensing Platform for Cognitive State Monitoring and Human-Computer Interaction [PDF] [Demo]

      Nhat Pham, Taeho Kim, Frederick Thayer, Anh Nguyen and Tam Vu,
      ACM MobiSys 2019

    12. Vulnerable Road User Protection through Intuitive Visual Cue on Smartphones [PDF] [Slides] [Demo1] [Demo2]

      Taeho Kim, Wongoo Han, Hyogon Kim and Yongtae Park,
      CarSys 2017 (conjunction with ACM MobiCom 2017)

    13. Vehicle-to-Vehicle Message Content Plausibility Check through Low-Power Beaconing [PDF] [Slides] [Video]

      Taeho Kim and Hyogon Kim,
      IEEE VTC 2017-Fall

    14. Poster: Visual Cue-Based VRU Protection on Smartphones [PDF] [Poster]

      Taeho Kim, Wongoo Han and Yongtae Park,
      ACM MobiSys 2017