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Keli's Research
Keli's Research
PhD Candidate, Computer Science
PhD Candidate, Computer Science
Research Focus:
Research Focus:
Deep Learning Neural Networks
Computer Vision
Geospatial AI
Recipient of the EECS Departmental Excellence Fellowship
Recipient of the EECS Departmental Excellence Fellowship
Education
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
Publications
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.
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.
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.
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