GridForge

Team

GridForge runs on a rolling cohort model — a new group of students joins each year, supervised by Cassidy Flynn with collaboration from Reza Razzaghi.

Leadership

Cassidy Flynn

Postdoctoral Research Fellow, Monash University

Project lead and primary supervisor. PhD in electrical engineering. Research focus: LV network topology estimation and smart meter analytics. Oversees all GridForge student cohorts and the unified platform.

LV Topology Smart Meters Project Lead

Reza Razzaghi

Senior Academic Collaborator, Monash University

Senior academic collaborator contributing to research direction and oversight, with expertise in power systems analysis and distribution network engineering.

Power Systems Distribution Networks

Cohorts

Organised by year. Fill in names and project summaries manually for each cohort.

✎  Student details below are placeholders — add names and project descriptions manually for each cohort.

2026 Cohort

Current

Three groups active in 2026: a four-person Digital Twin group, a solo AI Topology Evaluation project, and a five-person masters research group working on topology comparison methods.

Digital Twin Group

[Student Name]

Digital Twin Infrastructure

[Student Name]

Digital Twin Infrastructure

[Student Name]

Digital Twin Infrastructure

[Student Name]

Digital Twin Infrastructure

AI Topology Evaluation

[Student Name]

AI Topology Evaluation

Topology Comparison & Metrics (Masters)

[Student Name]

Topology Comparison & Metrics

[Student Name]

Topology Comparison & Metrics

[Student Name]

Topology Comparison & Metrics

[Student Name]

Topology Comparison & Metrics

[Student Name]

Topology Comparison & Metrics

2025 Cohort

Founding year

One student focused on pilot-building the platform: Streamlit GUI, OpenDSS simulation backend, synthetic data generation, and initial Python component integration.

[Student Name]

GridForge Prototyping

Built the initial platform from scratch — Streamlit frontend, Python backend, OpenDSS simulation integration, and synthetic data generation.