AI driven Data Analytics &App development for the Cyber-Power Grid

Title

AI driven Data Analytics & App development for the Cyber-Power Grid

Organization

WVU

Description:
Student 1: Interfacing tools, simulators and AI-driven data analytics for analyzing power grid operation
Student 2: Cyberattack and impact on the power grid with ML based tools

Develop python coding for data processing and developing visualization tools.

1. Work with creating data pipelining for Machine learning tools, Explainable AI tools, such as using MySQL, Kafka and developing python API for interacting time-series data.
2. Writing code using python to develop GUI for physics-aware machine learning-based power grid data processing tools. In this case, students need to use socket programming and tkinter module to exchange data from) some developed tools and show them in GUI format which can be manageable as GUI. Example (https://docs.python.org/3/library/tkinter.html
3. Writing code to for web interface-based visualization tool development to visualize the real-time operational status of a power system against cyberattacks. Here, all the monitoring data will be stored in a database, and the visualization tool will fetch the data in a timely manner to create and update different plots and topology figures of the system. Here, the student will perform two tasks. Example library, https://pypi.org/project/databases/
   1. Select an appropriate database and set up the database to the requirement of the operational tool and the visualization tool.
   2. Develop the visualization tool incorporating all the possible monitoring assets’ data

These projects will allow access to GOLab and SG-REAL lab and graduate students/ engineering scientists to support these tasks.

Research component:
Yes

Student Grade(s):
US-resident high school students in grades 11-12 during the 2025-2026 school year.
US citizens or Permanent residents

Students should not be working in any other internships or projects for the time duration of the project

Student Requirements for Participation:
High GPA, Python, ML, Data Visualization experience

Location:
Remote

Project Duration (weeks):
As much as possible

Project weekly Commitment (hours):
20

Project Start Date:
June 1, 2026

Project Cost to attend if selected:

$250.00

Will be used to sponsor a scholarship for students from disadvantaged backgrounds.

Deadline for submission of applications:
May 2, 2026 11:59pm PST

To apply, go to the Mentorship Applicant Page