Niusha Shafi Abady

Associate Professor

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Research interests

Research Interest: Using Computational Intelligence to Design Smart Decision-making Systems for Solving Real World Problems

Niusha Shafiabady is an Associate Professor at the Faculty of Science and Technology at Charles Darwin University (Sydney Campus), Australia.

She invites research applications focusing on the Industry and Community Applications of:

-      Machine Learning

-      Data Analytics

-      Intelligent Modelling

-      Expert System Design

-      Computational Optimisation

Associate Professor Shafiabady an internationally recognised expert in the field of Computational Intelligence with many years of professional experience in both academia and industry. She is the inventor of a computational optimisation algorithm and has developed Ai-Labz ( which is a simple Computational Intelligence predictive analysis tool. She has published many research articles in high-ranking journals, supervised many HDR candidates and is the recipient of several awards and credentials. She 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 unorganised data and creating smart decision-making systems for different applications. The highlight of her work is blending academic knowledge and research findings into industrial applications and creating a bridge between academia and industry. She has developed expert decision-making systems for variety of applications using Artificial Intelligence in solving real-world problems. Her ultimate vision is to utilise her expertise in Computational and Artificial Intelligence for enhancing human life.

Expertise related to UN Sustainable Development Goals

In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):

  • SDG 3 - Good Health and Well-being
  • SDG 7 - Affordable and Clean Energy


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Collaborations and top research areas from the last five years

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