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Niusha Shafiabady

Associate Professor in Computational Intelligence, Charles Darwin University

Associate Professor Niusha Shafiabady is an internationally recognized expert in the field of Computational Intelligence with many years of professional experience in both academia and industry.
She has held various academic leadership positions for the past 15 years. In addition, she has been involved in the Computational Intelligence industry for 23 years as project consultant/manager, associate head of school, Dean, CEO, chief scientific advisor and ethics committee and academic board member. She has held leadership positions, both in academia and industry.
She is the inventor of a European patented optimization algorithm named after herself and is the copyright holder of “Artificial Intelligence Development Solutions”.
She has published many research articles, particularly in Tier 1 journals, supervised more than 11 Higher Degree Research students and has played significant roles in USD3.3M of grants and is the recipient of several awards and credentials. She has been a finalist for Women in AI Award (WAI 2021) in Australia and New Zealand in the category of ‘AI in Defence’, and Women in Innovation (Winnovation 2020) Award in South Australia for developing Ai-Labz.
She has received post-graduate certificate in pedagogy from the University of Nottingham and is a Fellow of the Higher Education Academy of the United Kingdom.
Her key areas of expertise are design and development of smart algorithms for data analysis and interpretation, prediction of different phenomena, clustering and classification of unorganized data and creating smart decisionmaking systems for different applications. The highlight of her work is blending academic knowledge and research findings into industrial applications.
She has created expert decision-making systems for a variety of applications using Artificial Intelligence for solving real-life problems in the following areas:
- Oil & Gas: Pipeline failure detection
- Banking and Finance: Loan repayment prediction
- Transportation: Optimal positioning of police vehicles cameras
- Meteorology: Prediction of wind direction & speed and prediction of flood
- Renewable Energy: Hybrid green energy storage systems
- Economy: Prediction of national investment return
- Environmental Hazards: Power plants explosion and leakage prediction
- Commodity: North Brent crude oil price prediction
- Construction: Crane optimal positioning and maximum load capacity
- Department of Justice: Prediction of rehabilitation of detainees
- Stocks: Prediction of equity prices
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Niusha Shafiabady, PhD.
Curriculum Vitae
- Healthcare: Prediction of diseases using recorded data
Her expertise includes but is not limited to:
- Artificial Intelligence
- Machine Learning
- Data Analysis
- Modelling
- Deep Learning
- Expert System Design
- Optimization
Her ultimate vision is to utilize her expertise in computational and artificial intelligence for improvement of human
life.

Experience

  • –present
    Associate Professor, Charles Darwin University

Education

  •  
    Azad University- Tehran Science and Research Branch, Electrical Engineering- Control and Systems