Tahereh is a Senior Research Associate at the School of Computer Science and Engineering (CSE) at the University of New South Wales (UNSW), specializing in AI-driven biomedical image processing. With a Ph.D. in Computer Science from UNSW, she has established herself as a leading expert in medical image processing using artificial intelligence. Her doctoral research focused on the development of neuroevolutionary deep convolutional neural...view more
Tahereh is a Senior Research Associate at the School of Computer Science and Engineering (CSE) at the University of New South Wales (UNSW), specializing in AI-driven biomedical image processing. With a Ph.D. in Computer Science from UNSW, she has established herself as a leading expert in medical image processing using artificial intelligence. Her doctoral research focused on the development of neuroevolutionary deep convolutional neural networks (CNNs) for medical image analysis, setting a strong foundation for her future work. She holds dual master's degrees in Artificial Intelligence and Computing.
Tahereh brings a wealth of experience from her 3-year postdoctoral tenure at Leiden University Medical Center (LUMC) in the Netherlands, where she advanced her expertise in medical imaging and AI. Her research interests lie at the intersection of AI, medical image processing, neural networks, deep learning, computer vision, evolutionary algorithms, neuroevolutionary algorithms, and machine learning.
My Awards
2019: UNSW (University of New South Wales) Tuition Fee Scholarship (TFS) including tuition fee waiver and providing living stipend for 3.5 year
2018: International Macquarie University Research Excellence Scholarship (iMQRES) including tuition fee waiver and providing living stipend for 1 year
My Research Activities
1) Brain Microbleeds Detection.
2) Artificial-Intelligence-based Comparative MR Imaging in Detecting Inflammatory Changes in Rheumatoid Arthritis (AIMIRA)
3) Neuroevolutionary Deep Convolutional Neural Networks for Medical Image Analysis
4) Convolutional Neural Networks for the prostate MRI segmentation
5) Classification of Sonar Snapshot Images for Autonomous Underwater Vehicle Onboard Processing
6) Hybrid Algorithms for Static and Dynamic Optimization Using Firefly Algorithm, Cellular Learning Automata, and Fuzzy Systems
7) Lung Nodule Detection in Chest X-Rays Using Convolutional Neural Networks (CNNs)
My Research Supervision
Supervision keywords
Areas of supervision
AI, Medical Image Processing, Deep Learning, Computer Vision, Evolutionary Algorithm, Neuroevolutionary Algorithm, Machine Learning
Currently supervising
Masters and Honours Research Students
1) Omar Omar Abdullah Khursheed, "Lung Nodule Detection using CNN", May 2024 - Ongoing
2) Yifan wang, "Lung Nodule Detection in Chest X-Rays Using Convolutional Neural Networks (CNNs)", May 2024 - Dec 2024
3) Renhua Luo, "Evolutionary algorithm for Feature Selection in Machine Learning", August 2024 - Dec 2024
4) Ryan Farahani, "Advanced Deep Learning models for the Chest X-Rays nodule Detection", Feb 2025 - ongoing
My Teaching
1) COMP9444, Neural Network, Deep Learning
2) ZEIT3113, Computer Languages & Algorithm
3) ZEIT1102, Introduction to Programming
