I completed a Bachelor degree in Electrical Engineering-Electronic with distinction in 2006. I further completed MSc in Biomedical Engineering-Bioelectric in 2008. I received my PhD in Biomedical Engineering-Bioelectric in 2015, which focused on the development a novel method for mortality prediction of Cardiovascular and Cerebrovascular patients admitted in ICU. Before joining UNSW Australia in 2022, I worked as assistant professor in the Biomedical Engineering Department at TMSIAU, Iran.
I am interested in Biomedical Signal and Image Processing, Artificial Neural Networks (ANNs), Machine Learning, Deep Learning, Nonlinear Time-Series Analysis, and Cognitive Science. I have experience in ECG, EMG, PPG, and EEG Signal Processing in Detecting and Predicting diseases and disorders such as Epilepsy, Apnea, Parkinson, and Cardiac Diseases. Moreover, in recent years, I completed several projects on Image processing such as Pattern Recognition, Breast Cancer, Face Beauty Detection, and etc.
I have strong background to use MATLAB and Python programming languages. I am proficient in many Python environments such as Google Colab, Spider, Pytorch, IDLE, and so on. Furthermore, I could easily write MATLAB code and design various models in SIMULINK. Additionally, I am capable of designing different Deep Learning models in MATLAB and Python. I
I am currently working as Postdoctoral Associate Researcher at the UNSW Australia. Ultimately, I hope to harness this information to improve various disease detection and model development for different fields, especially biomedical and biological.
Fields of Research (FoR)Machine learning, Deep learning, Data mining and knowledge discovery, Image processing, Signal processing
Postdoctoral Associate Research (2022-Present)
PhD of Biomedical Engineering-Bioelectric (2011-2015)
MSc of Biomedical Engineering-Bioelectric (2006-2008)
BSc of Electrical Engineering-Electronic (2002-2006)