Rajesh Kumar is a Postdoctoral Researcher in the Department of Informatics, Systems, and Communication at the University of Milano-Bicocca. He earned his PhD from the University of Palermo, Italy, and a Master’s degree in Computer Information Engineering from Mehran University. He is a dedicated educator and researcher specializing in computer vision and machine learning, with expertise in Python deep learning libraries such as NumPy, Pandas, Matplotlib, and OpenCV. Additionally, he is proficient in SQL and has experience working with deep learning frameworks like TensorFlow and PyTorch. With a strong background in independent research, he has collaborated with interdisciplinary teams to achieve innovative research outcomes. He also gained research experience as a Visiting Researcher at York University, Canada, further expanding his expertise in advanced AI methodologies. His research interests include image processing, medical image analysis, and classification.
Publications
Journal Articles
2.
Deep Learning for Building Attribute Classification from Street-View Images for Seismic Exposure Modeling (Rajesh Kumar, Claudio Rota, Flavio Piccoli, Gianluigi Ciocca)
In Applied Sciences, volume 16, number 2, MDPI, 2026.
@article{kumar2026deep, author = {Kumar, Rajesh and Rota, Claudio and Piccoli, Flavio and Ciocca, Gianluigi}, year = {2026}, title = {Deep Learning for Building Attribute Classification from Street-View Images for Seismic Exposure Modeling}, volume = {16}, number = {2}, publisher = {MDPI}, journal = {Applied Sciences}, pdf = {https://www.mdpi.com/2076-3417/16/2/875/pdf}, doi = {https://doi.org/10.3390/app16020875}}
@article{rota2025SegFVG, author = {Rota, Claudio and Piccoli, Flavio and Kumar, Rajesh and Ciocca, Gianluigi}, year = {2025}, title = {A high-resolution large-scale dataset for building segmentation from aerial imagery in northeastern Italy}, volume = {12}, journal = {Scientific Data}, pdf = {https://www.nature.com/articles/s41597-025-06014-4.pdf}, doi = {10.1038/s41597-025-06014-4}, projectref = {https://board.unimib.it/datasets/9kbc6zdn7b/2}}