Naman Saini

Software engineer experienced in C++ and Python for Display Driver development and validation. Skilled in debugging, optimizing system performance, and implementing automated testing frameworks. Proficient in Artificial Intelligence (Pattern Recognition and Machine learning).

• Classification of MSTAR for Target Recognition using Vision Transformer on SAR Images:

     Classification of target Man-portable Surveillance and Target Acquisition Radar (MSTAR) dataset using modified Vision Transformer on SAR Images.

• Crop classification using Deep learning based on time series Synthetic Aperture Radar images :A Survey, Naman Saini, Renu Dhir and Kamalpreet Kaur“Crop classification using Deep learning based on time series Synthetic Aperture Radar images :A Survey” published in Fourth International Conference on Data Sciences and Applications (ICDSA 2023) at MNIT Jaipur July 14-15 2023
• Human Pose Estimation Using Deep Learning:

      Human pose estimation involves identifying the various human poses about the human joints that can be captured on camera and thereby deducing the pose using          deep learning

• Hindi Dataset and Handwritten Recognition:

       Dataset preprocessing ( Line segmentation and Correction) and Neural Network Model Convolutional Recurrent Neural Network (CRNN)