Rashmi Alva

Rashmi Alva is a Teaching Assistant at the Centre for Imaging Technologies, MSRIT, with 5+ years of experience in computer vision, image processing, embedded systems, and thermal imaging. She specializes in developing imaging-based solutions using RGB, infrared, thermal, and wearable sensors for automotive and healthcare applications, with expertise in multimodal image fusion, deep learning-based detection, and sensor-based system integration. Her research encompasses driver monitoring systems utilizing multimodal data fusion, IMU-based gait analysis for clinical assessment, thermal breast cancer screening, and satellite image analysis for environmental applications. She has demonstrated proficiency in implementing YOLO and CNN architectures, real-time data acquisition using Raspberry Pi and ESP32, and comprehensive sensor interfacing for robotics and biomedical applications.

1. Computer Vision
2. Image Processing
3. Thermal Imaging
4. Machine Learning
5. Deep Learning
6. Multimodal Image Fusion
7. Driver Monitoring Systems
8. Gait Analysis
9. Sensor Fusion
10. Embedded Systems