State:
VIC
University:
RMIT University
Status:
Domestic Student
Discipline:
Engineering, IT, Mathematics and Statistics
Research Specialty:
Artificial Intelligence, Electrical Engineering, Machine Learning or Tensorflow Experience, Natural Language Processing, Network Development

Nafiseh Imanian is an AI researcher with expertise in machine learning, explainable AI, time-series anomaly detection, graph-based modelling, and agentic AI systems. Her research focuses on developing trustworthy and interpretable AI for complex real-world data. She is interested in this internship to apply her research skills to practical network analytics challenges.

She is particularly interested in applying trustworthy and explainable AI to real-world operational problems. Her recent work includes explainable anomaly detection, graph-based machine learning, PayGuard, and a multi-agent data analytics platform using LLMs and Python tools. She is also experienced in working with industry and research partners and translating complex AI results into practical, human-verifiable insights.

For more information, please contact one of our APR.Intern Business Development Managers: