Ph.D. Electrical Engineering and Computer Science, University of Missouri- Columbia
M.Tech. VLSI Design, SRM University, India
B.E. Electronics and Communication Engineering, Sardar Patel University, India
courses taught
CSC 230: Elementary Data Structures and Algorithms
CSC 330: Advanced Data Structures
CSC 471: Principles of Database Systems
CSC 701: Doctoral Student Orientation
Research intrests
Applied AI, Computer Vision, Machine Learning, Embodied AI
Upadhyay, P. C., Lory, J. A., & DeSouza, G. N., SARLBP: Scale Adaptive Robust Local Binary Patterns for Texture Representation. IEEE Transactions on Image Processing (IEEE TIP 2025).
Farag, R.∗, Upadhyay, P. C.∗, DeSouza, G. N., et al., EfficientNet-SAM: A Novel EfficientNet with Spatial Attention Mechanism for COVID-19 Detection in Pulmonary CT Scans. IEEE Conference on Computer Vision and Pattern Recognition (IEEE CVPR 2024). (∗ Corresponding authors. Equal Contribution). Seattle,Washington, USA.
Upadhyay, P. C., Lory, J. A., & DeSouza, G. N. Sequential transfer with multi-objective genetic algorithm for feature selection of high-dimensional datasets. IEEE Congress on Evolutionary Computation. (IEEE CEC2024). Yokohama, Japan.
Upadhyay, P. C., Lagaunne, T. A. P., Lory, J. A., & DeSouza, G. N. Crop Residue Cover Percentage Estimation from RGB Images using Transfer Learning and Ensemble Ordinal Regression. Journal of American Society of Agricultural and Biological Engineers (ASABE, 2024).
Upadhyay, P. C., Lory, J. A., DeSouza, G. N., et al., Classification of crop residue cover in high-resolution RGB images using machine learning. Journal of American Society of Agricultural and Biological Engineers (ASABE, 2022).
Upadhyay, P. C., Karanam, L., Lory, J. A., & DeSouza, G. N. Classifying cover crop residue from RGB images: A simple versus ensemble SVM. IEEE Symposium Series on Computational Intelligence (IEEE SSCI 2021). Orlando, Florida, USA.
