Learn About Me

about me

Junghyo Lee is a Ph.D. student in Computer Engineering at Arizona State University(Tempe, Arizona, USA). His research interests are computer vision, human computer interaction, machine learning, mobile computing, and data mining. Also, he has ten high quality publications in reputed journals and conferences. Also, he received his B.S.E in Computer Engineering from Korea Polytechnic University and his M.S in Computer Science from Central Michigan University. He joined Intelligent Mobile & Pervasive Applications & Communication Technologies (iMPACT) lab at Arizona State University as a Ph.D. student research member in 2014.
Download: [Resume]   [CV (with list of publication)]


PUBLICATIONS

Journal

  1. (Aceepted) Paudyal, Prajwal, Junghyo Lee, Ayan Banerjee, and Sandeep KS Gupta. A comparison of techniques for sign language alphabet recognition using arm-band wearables. ACM Transactions on Interactive Intelligent Systems [PDF | PPT | Bib].
  2. Lee, Junghyo, and Patrick Seeling. Capacity level modeling of mobile device bandwidth requirements employing high utilization mobile applications. Computer Communications 57 (2015): 64-72. [PDF | PPT | Bib].

Conference

  1. (Accepted) Lee, Junghyo, Koosha Sadeghi, Javad Sohankar, Ayan Banerjee, and Sandeep KS Gupta. Enabling Real-time Internet-Of-People Ħ°4DĦħ Mobile Applications. The 14th IEEE Conference on Advanced and Trusted Computing (ATC), IEEE, 2017. [PDF | PPT | Bib].
  2. Lee, Junghyo, Prajwal Paudyal, Ayan Banerjee, and Sandeep KS Gupta FIT-EVE&ADAM: Estimation of Velocity & Energy for Automated Diet Activity Monitoring. Machine Learning and Applications (ICMLA), 2017 16th IEEE International Conference on. IEEE, 2017. [PDF | PPT | Bib].
  3. Sadeghi, Koosha, Junghyo Lee, Ayan Banerjee, Javad Sohankar, and Sandeep KS Gupta. Permanency Analysis on Human Electroencephalogram Signals for Pervasive Brain-Computer Interface Systems. Engineering in Medicine and Biology Society (EMBC), 2017 IEEE 39th Annual International Conference of the. IEEE, 2017. [PDF | PPT | Bib].
  4. (Best Student Paper) Paudyal, Prajwal, Junghyo Lee, Ayan Banerjee, and Sandeep KS Gupta. DyFAV: Dynamic Feature Selection and Voting for real-time recognition of fingerspelled alphabet using wearables. Proceedings of the 22nd International Conference on Intelligent User Interfaces. ACM, 2017, March 2017. [PDF | PPT | Bib].
  5. Lee, Junghyo, Ayan Banerjee, and Sandeep KS Gupta. MT-diet: Automated smartphone based diet assessment with infrared images. 2016 IEEE International Conference on Pervasive Computing and Communications (PerCom). IEEE, 2016. Computer Communications 57 (2015): 64-72. [PDF | PPT | Bib].
  6. Lee, Junghyo, Ayan Banerjee, and Sandeep KS Gupta. MT-diet demo: Demonstration of automated smartphone based diet assessment system. 2016 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops). IEEE, 2016.[PDF | PPT | Bib].
  7. Lee, Junghyo, and Patrick Seeling. Mobile device-level data modeling through high utilization mobile applications. 2014 IEEE 11th Consumer Communications and Networking Conference (CCNC). IEEE, 2014.[PDF | PPT | Bib].
  8. Lee, Junghyo, and Patrick Seeling. An overview of mobile device network traffic and network interface usage patterns. Electro/Information Technology (EIT), 2013 IEEE International Conference on. IEEE, 2013.[PDF | PPT | Bib].

Poster

  1. Lee, Junghyo, Prajwal Paudyal, Ayan Banerjee, Minho Kim, Koosha Sadeghi, and Sandeep KS Gupta. DEVOUR: Single Gesture Enable Armband Based Diet Monitoring. Engineering in Medicine and Biology Society (EMBC), 2017 IEEE 39th Annual International Conference of the. IEEE, 2017.. [PDF | PPT | Bib].
  2. Lee, Junghyo, Ayan Banerjee, Prajwal Paudyal, and Sandeep KS Gupta. MT-Diet: Automated Diet Assessment Using Myo and Thermal. Wireless Health Abstract 2015. [PDF | PPT | Bib].

research

When clicking the project name in the below pictures, you can find the project information in more detail.

MT-Diet

Automated smartphone based diet assessment system using Mobile computing and Thermal images

Solar Impluse Cockpit VR

Virtual Reality of the Solar Impulse (solar-powered airplane) cockpit, with audio narration.

Mobile Clouds

Modeling and simulating of mobile device bandwidth based on applications.

Sceptre

Automatic Motion based Sign Language Detection.


PLACE TO TALK WITH ME

Email: jlee375 at [asu] dot [edu]