Nicholas Bailey

I’m a Dual-degree Engineering and Business student with a strong interest in machine learning applications in engineering, energy systems, and data-driven decision-making.

About Me

I have experience in engineering research, supply chain optimization, and energy efficiency consulting. My work spans from drone-based photovoltaic (PV) inspection research to machine learning for manufacturing applications. Previously, I interned at Lockheed Martin in a supply chain engineering role and worked with the Southern New England Industrial Assessment Center (SNE-IAC) to improve energy efficiency for small and medium-sized manufacturers.

Research Interests

• AI/ML for Engineering – Applying semantic segmentation for PV inspection and evaluating surrogate modeling techniques in engineering design.
• Renewable Energy & Grid Optimization – Exploring UAV-based inspections and optimizing photovoltaic (PV) maintenance strategies.
• Manufacturing & Supply Chain Engineering – Investigating data-driven insights for industrial process improvements.

Projects

• Drone-Based PV Inspection – Studying feasibility, ROI, and software integration for thermal drone inspection of solar panels.
• Surrogate Modeling in Engineering – Analyzing Kriging, ANN, RBF, and other surrogate methods for engineering applications.
• Energy Efficiency in Manufacturing – Conducting on-site industrial assessments and developing custom energy models.

Last updated: March 2025

• Applications of Thermal Drones for Energy Assessments

  Posted on March 26, 2025

  Today, I had the opportunity to present my work on thermal drone applications at the Southern New England Industrial Training and Assessment Center semiannual board meeting. My presentation, titled “Applications of Thermal Drones: Energy Assessments for Efficiency and Reliability,” explored how infrared-equipped UAVs can enhance inspections for solar panels, buildings,... [Read More]

• Electrical Engineering Fundamentals for Energy Assessments

  Posted on March 18, 2025

  Introduction Electrical engineering principles are crucial when conducting industrial energy assessments. Understanding these concepts can greatly enhance your ability to identify energy-saving opportunities. This primer introduces key electrical fundamentals applicable to energy assessments, including power factor, three-phase power, motor efficiency, and other related concepts. [Read More]