The proposed VIP project is "Intelsat Performance Bot.”   Intelsat collects and maintains a vast amount of data points used by Network and Operations to monitor, analyze, and model operational performance to ensure connectivity service is highly available for our customers. Users outside Commercial Aviation (CA) Network and Operations teams often need answers held in the team’s data and spend significant time in meetings and/or requesting data to answer fundamental, performance-related questions. The goal of the project is to make Commercial Aviation (CA) performance data more widely available by setting up a generative AI-enabled chatbot interface with natural language processing (NLP) capabilities so users can interact / query various datasets without expertise.

Candidate Projects: (a) Predictive location of underground cable fault and  (b) Power converter in space and vehicular systems.

Students in all disciplines and all majors are encouraged to inquire about the projects and participation opportunities.  EECE101, EECE201, or EECE302 VIP course taking is optional in joining a team.

Production and Workforce Co-Management System: This project aims to develop a networked system which would make workforce and production management adaptable to changing situations. There is a need for efficient workforce management which runs around the product availability and, simultaneously, for seamless production plan following the workforce availability.   A networked co-management system is devised, in which the real-time production control of the field is obtained from a PLC (programmable logic controller) with pumps and valves, while the workforce-status and management is maintained in a software environment, with the two sub-systems connected through a network.   This networked system connects the production control system in the field to the workforce management system so that the production-level and the workforce-status can be both simultaneously managed.