A Brief Biography

Taeyu Im (aka Quoc Duy Vo) is a researcher at the Center of Excellence in Wireless & Information Technology (CEWIT) Korea. He received his PhD degree from the Department of Computer Science, Stony Brook University, New York in 2018. Taeyu also received his master’s degree from Soongsil University, South Korea in 2010. He completed his B.E. in Computer Science and Engineering from Ho Chi Minh City University of Technology, Vietnam in 2006. Before joining CEWIT Korea, he used to work as a software engineer. His main research interests are mobile computing, software engineering, localization and navigation. He is also interested in machine learning, especially deep learning.

Areas of Research Interest

Mobile Computing

Software Engineering

Machine Learning

Localization and Navigation

Cognitive Radio


Google scholar page sorted by citations, sorted by date


  1. Smartphone based approximate localization using user highlighted texts from images
    Taeyu Im, Darius Coelho, Klaus Mueller, Pradipta De
    Pervasive and Mobile Computing, 2018

  2. Next Generation Business Intelligence and Analytics: A Survey
    Quoc Duy Vo, Jaya Thomas, Shinyoung Cho, Pradipta De, Bong Jun Choi, Lee Sael
    arXiv preprint arXiv:1704.03402, 2017

  3. A Survey of Fingerprint based Outdoor Localization
    Quoc Duy Vo, Pradipta De
    IEEE Communications Surveys & Tutorials, 2016

  4. A Study of Radio Wave Propagation Criterion for the Cognitive Radio System using Interference Analysis in Broadcasting Band
    Joo-Pyoung Choi, Quoc Duy Vo, Won-Cheol Lee
    KICS Journal, 2009


  1. An infrastructureless and self-deployable indoor navigation approach using semantic signatures
    Taeyu Im, Pradipta De
    MobiCom, ACM 2016, New York, USA

  2. User-Assisted OCR on Outdoor Images for Approximate Positioning
    Taeyu Im, Pradipta De
    Information Science and Applications (ICISA), Springer 2016, Singapore

  3. WhereAmI-Energy Efficient Positioning using Partial Textual Signatures
    Quoc Duy Vo, Darius Coelho, Klaus Mueller, Pradipta De
    Mobile Services, IEEE 2015, New York, USA

  4. WhereAmI: Image-based Positioning in Dense Urban Areas
    Quoc Duy Vo, Klaus Mueller, Pradipta De
    MobiSys, ACM 2013, Taipei, Taiwan

  5. An Interference Avoidance Method for TVBD-based Smart Meters in White Space Networks
    Quoc Duy Vo, W.C.Lee
    CEWIT 2011, New York, USA

  6. An Interference Avoidance Method for Cognitive Radio in White Space
    Quoc Duy Vo, J.P.Choi, C.K. Huynh, W.C.Lee
    ICSPCS, IEEE 2010, Gold Coast, Australia

  7. Green Perspective Cognitive Radio-based M2M Communications for Smart Meters
    Quoc Duy Vo, J.P.Choi, C.H.Min, W.C.Lee
    ICTC, IEEE 2010, Jeju, Korea

  8. Reconfiguration-based Optimal Coexistence Technique in White Space
    Quoc Duy Vo, J.P.Choi, C.K. Huynh, W.C.Lee
    JCIC'2010, Xi'an, China

  9. A Study on the Interference Criterion Using Interference Temperature Model in White Space
    Quoc Duy Vo, J.P.Choi, W.C.Lee
    APWCS, IEEE 2010, Kaohsiung, Taiwan

  10. An Analysis of Obtainable Throughput for Cognitive Radio based on Interference Analysis Techniques
    Joo-Pyoung Choi, Quoc Duy Vo, Won-Cheol Lee
    KICS Conference 2010, Korea

  11. A Flexible PAPR Reduction Scheme for Multicarrier Cognitive Radio Systems
    Quoc Duy Vo, J.P.Choi, W.C.Lee
    ITC-CSCC 2009, Jeju, Korea