Focused on advancing the use of 3D Gaussian Splatting in Extended Reality (XR) environments. Working on optimizing point cloud creation with Amazon Web Services (AWS) servers and improving 3D Gaussian Splatting model efficiency to eliminate the need for additional server support. Aiming to enhance XR experiences through more effective and scalable solutions.

Conducted research on how different levels of realism in Virtual Environments (VEs) influence spatial learning in Extended Reality (XR). Photo-realistic scenes were created using 3D Gaussian Splatting, and were compared with 3D modeled environments during navigational tasks. The study revealed that while overall spatial learning remained consistent, recall of complex details improved in photo-realistic settings. These findings provide valuable insights for optimizing XR applications in education and training.

Designed a tool for Extended Reality (XR) creators with limited programming expertise to effortlessly create and share immersive experiences. This tool supports the design of linear sequences, such as picking up a baseband and placing it in a cabinet. It generates a readable format that, when integrated with an XR application, replicates user-defined steps in the XR environment using a state-machine system. Additionally, the tool features a chatbot that allows users to describe sequences in natural language. A large language model (LLM) then converts these descriptions into a 3D environment and action sequence.

The role of Project Supervisor included responsibilities as the Organization Executive. Oversight was provided for both the Gender and Sexual Responsibility initiatives and the Sign Language programs, ensuring inclusivity, awareness, and effective communication.

A Microsoft SQL database with triggers was created to monitor inventory levels, and a control program was developed to automatically send daily email notifications to sales officers about stock shortages, improving inventory management and ensuring timely restocking. Additionally, a Robotic Process Automation (RPA) solution was designed to automate supply management tasks within SAP, including order processing, inventory management, and invoice processing. This automation reduced manual labor and errors, streamlining supply chain operations and enhancing overall efficiency.