● As a Graduate Assistant at the MPSC at UMBC since January 2020, I have been involved in research on unsupervised domain adaptation for image segmentation using multi-modal visionary sensors (RGB camera and LIDAR) and self-supervised contrastive learning for human activity recognition from multiview video data. ● I have collaborated with ARL researcher and demonstrated DVPG related project in Army Research Lab, Graces Quarter Maryland.● Additionally, I have also been responsible for mentoring courses such as Network Design and Management, Software and Hardware Concepts, and Database Application Developmenn in the Department of Information System.

● I worked as a Research Assistant at the Yagi Laboratory at Osaka University, where I focused on research in the areas of RGB-D camera-based human activity recognition and the design of autonomous health monitoring systems.

I worked as an assistant researcher. I was involved in three projects, RGB-D camera-based human activity recognition, autonomous health monitoring system design for elderly homes, and camera-based artificial running monitoring system.