Ph.D.; Computer Science; University of Missouri - Columbia
M.S.; Computer Science; University of Memphis
B.S.; Mathematical Science, Computer Science; University of Memphis
Courses Taught
Database
Advanced Topics in Database
Academic Interests
Computer Vision
Deep Learning
Remote Sensing Data Processing
Spatiotemporal Data Analysis
Scholarly Activity
Selected Publications:
Cheng and G. J. Scott, "Deep Seasonal Network for Remote Sensing Imagery Classification of Multi-Temporal Sentinel-2 Data" in Remote Sensing 15, no. 19: 4705. https://doi.org/10.3390/rs15194705
K. Cheng and G. J. Scott, "Evaluation of a Meta-Transfer Approach for Few-Shot Remote Sensing Scene Classification," IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium, Pasadena, CA, USA, 2023, pp. 5002-5005, doi: 10.1109/IGARSS52108.2023.10282991.
K. Cheng, I. M. Popescu, L. Sheets and 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, doi: 10.1109/JSTARS.2022.3167373.
K. Cheng, T. M. Bajkowski and G. J. Scott, "Evaluation of Sentinel-2 Data for Automatic Maasai Boma Mapping," 2021 IEEE Applied Imagery Pattern Recognition Workshop (AIPR), 2021, pp. 1-5, doi: 10.1109/AIPR52630.2021.9762131.
K. Cheng, I. M. Popescu, L. Sheets and G. J. Scott, "Automatic Maasailand Boma Mapping with Deep Neural Networks," 2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 2021, pp. 2839-2842, doi: 10.1109/IGARSS47720.2021.9553386.
Taborda, R., Azizzadeh-Roodpish, S., Khoshnevis, N., & Cheng, K. (2016). Evaluation of the Southern California Seismic Velocity Models through Simulation and Validation of Recorded Events. Geophysical Journal International.
Selected Presentations
Cheng, K., Cai, Z., Graesser, A. C. (2018). An Improved Assessment Model for AutoTutor Answer Grading. Presented at the 48th Annual Meeting of the Society for Computers in Psychology, New Orleans, LA.
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