Keli Cheng

PhD Candidate, Computer Science

Research Focus:

  • Deep Learning Neural Networks

  • Computer Vision

  • Geospatial AI

Recipient of the EECS Departmental Excellence Fellowship

Education

Master of Science: Computer Science,

  • University of Memphis, Memphis, Tennessee, USA.

  • Topic: Applying LSTM Model and Cluster Analysis on Educational Data Mining Problem

Bachelor of Science: Mathematical Science, Computer Science,

  • University of Memphis, Memphis, Tennessee, USA.

Publications

  1. Keli Cheng, IM Popescu, L Sheets, G Scott, Analysis of Deep Learning Techniques for Maasai Boma Mapping in Tanzania, in IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022.

  2. Keli Cheng, TM Bajkowski, GJ Scott, Evaluation of Sentinel-2 Data for Automatic Maasai Boma Mapping, in Proceedings of 2021 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 2021.

  3. Keli Cheng, IM Popescu, L Sheets, GJ Scott, Automatic Maasailand Boma Mapping with Deep Neural Networks , in Proceedings of 2021 IEEE International Geoscience and Remote Sensing Symposium (IGARSS), 2021.