Publications

D. Kesseli, V. Chidurala, R. Gooch, and G. Zhu, “A combined computer vision and deep learning approach for rapid drone-based optical characterization of parabolic troughs,” J. Sol. Energy Eng, vol. 145, no. 2, 2022.
V. Chidurala and X. Li, “Detection of moving objects using thermal imaging sensors for occupancy estimation,” Internet of Things, vol. 17, p. 100487, 2022.
V. Chidurala and X. Li, “Occupancy Estimation Using Thermal Imaging Sensors and Machine Learning Algorithms,” IEEE Sensors Journal, vol. 21, no. 6, pp. 8627-8638, 2021.

V. Chidurala, X. Wang, X. Li and J. Hamner, “IoT Based Sensor System Design for Real-Time Non-Intrusive Occupancy Monitoring”, IEEE International Conference on Internet of Things and Intelligence Systems (IoTaIS), November 2022. (Received Best Paper Award, First place).

D. Kesseli, V. Chidurala, R. Gooch and G. Zhu, “Automated Optical Analysis of Parabolic Trough Concentrating Solar Collectors Using Deep Learning and Computer Vision,” Presentation at Solar Paces, September 2021.
V. Chidurala and X. Li, “Occupancy Estimation with IR Array Sensors and ML Algorithms for Smart Building Applications,” Poster Presentation at IEEE Symposium on Unmanned Air Transportation, November 2019.

Chidurala, Veena. Occupancy Monitoring Using Low Resolution Thermal Imaging Sensors, dissertation, August 2022; Denton, Texas, University of North Texas Libraries.
Chidurala, Veena. Measurement and Analysis of Indoor Air Quality Conditions, thesis, August 2016; Denton, Texas, University of North Texas Libraries.