Update:07.06.2002
Dr Mohammad Karimi Moridani
Google Scholar Link:
https://scholar.google.com/citations?user=a7N6LKIAAAAJ&hl=en
Researchgate Link:
https://www.researchgate.net/profile/Mohammad_Moridani
Dean’s Office: Faculty Health and Biomedical Engineering, Tehran Medical Sciences, IAU, Tehran, IRAN:
https://tms.iau.ir/en/page/2209/school-of-health-and-biomedical-engineering
Postdoctoral Research Associate at UNSW:
https://research.unsw.edu.au/people/dr-mohammad-karimi-moridani
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 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.
INFORMATICS and TECHNICAL SKILLS
- Statistical Software (SPSS, Excel) – High level
- SIMULINK and MATLAB Programming – High level
- Other Programming Languages: AVR Micro-Controller, Proteus, Codevision, Multisim, Porotel, Circuit Maker – High level
- Python/ PyTorch/Tensorflow Programming Languages – Medium level
- Machine Learning, Artificial Intelligence (MLP, SOM, SVM, KNN), Deep Learning (GgoogleNet,ResNet,VGGNet, …)
- Specialized EEG analyzing software (EEGLab, Brain Products) – Medium level
Areas of Interest | |
1) Image Processing
Medical Image Processing Computer Vision Image enhancement methods Noise reduction methods Edge Detection Methods |
2) Signal Processing
Medical Signal Processing Noise Cancellation Methods Time-Frequency Methods Non-linear Feature Extraction Optimization Methods |
3) Machine Learning
Artificial Networks |
4) Data acquisition and management
ECG, EEG, ERG Recordings |
5) Fuzzy Theory | 6) Statistical Analysis |
7) Bioengineering | 8) Modeling |
Education |
2011-2015
Ph.D. Biomedical Engineering-Bio-Electric Dissertation: Mortality Prediction of Cardiovascular and Cerebrovascular Patient Admitted in ICU Using Nonlinear Methods and Clinical Rules Supervisors: Prof. S. Kamaledin Setaredan; Prof. Ali Motie Nasrabadi, Prof. E. Hajinasrollah |
2006-2008
M.Sc.: Biomedical Engineering-Bio-Electric Dissertation: ECG Imaging to Ischemic Episode Detection Supervisors: Dr. Majid Pouladian |
2002-2006
B. Sc.: Electrical Engineering-Electronic Dissertation: DC Motor Control with PD&PID Controller in MATLAB Environment Supervisor: Dr. Fereydoon Javashi |
Honored abd Awards | |
****** | Iran’s top researcher elite forum |
****** | Teaching Awards of Islamic Azad Tehran Medical Sciences, Islamic Azad University, Tehran, Iran |
****** | Ranked first among graduating students
In Ph.D. of Biomedical Engineering. |
****** | Ranked first in national Ph.D. Entrance Exam
In Biomedical Engineering, Iran |
****** | Full-Fund Ph.D. Acceptances
Pompeu Fabra University, Spain |
****** | Ranked 10th among 450 competitors
In Azad Universities attendance exam, Iran |
Membership |
Member of Construction Engineering Organization
Member of the Association of Medical Engineering Member of Young Researcher Club |
Professional Experience | |
Teaching Experience: | 2016-Present:
Tehran Medical Sciences, Islamic Azad University, Tehran, Iran · Artificial Neural Networks · Microprocessor |
2012-Present:
Islamic Azad University, Tehran Medical Branch, Tehran, Iran · Medical Informatics · Systemic Programming · Microprocessor · MATLAB Software Programming |
|
2011-2017:
Islamic Azad University of Islamshahr, Islamshahr, Iran. · Electronic · Electrical Circuits · Microprocessor |
|
2009-2015:
Islamic Azad University of Garmsar, Garmsar, Iran. · Electronic · Integrated Circuits · Discrete-Time Signal Processing · Computer Networks |
|
2007-2008:
Islamic Azad University of Lahijan, Guilan, Iran · Electrical Circuit · Linear Control Systems · MATLAB Programming, · SPICE Programming |
Workshop Holdings: |
2018-2019 Matlab Professional Programmering (Islamic Azad University, South Branch, Tehran, Iran)
2018-2019 Introduction to MATLAB programming Islamic Azad University, South Branch, Tehran, Iran 2017-2018 Matlab Professional Programmering (Tehran Medical Sciences, Islamic Azad University, Tehran, Iran) 2016-2017 Matlab Professional Programmer (Tehran Medical Sciences, Islamic Azad University, Tehran, Iran) |
Advisory and SuperAdvisory of Projects: |
Supervisory of Ph.D. Project:
· Heart rate monitoring in pregnant women with preeclampsia |
Supervisory of M.Sc. Projects:
· Predicting of bradycardia in preterm infants using linear and nonlinear analysis of heart rate variability · Provides an intelligent method to detect the stress of drivers · Detection of age-related macular degeneration by neural networks · Dynamic analysis of hand movement signals to quantify the vibrations · A New Method for Predicting Sudden Cardiac Death Using Geometric Phase Spatial Mapping · Providing a Reversible and Compression-Resistant Method for Watermarking Digital Medical Imaging |
Supervisory of B.Sc. Projects:
· Implementation of a stress detection system using physiological signals · Design of artificial neural network to identify seizures using time-frequency analysis · Investigating the dynamics of Electrophysiological signals in individuals at different stages of sleep · Design of a CAD System for the Identification and Classification of Breast Cancer Tumors · Face image processing to identify people’s facial expressions · Influence of digital games on spine condition and body posture · An Algorithm for Depression Detection Using Electroencephalogram Signal · Meditation is a new approach to promoting community health · Parkinson’s disease diagnosis using the RQA algorithm · Behavioral assessment of neonatal bradycardia |
Professional Affiliations and Services: |
Ad-hoc Reviewer
IEEE transaction on Neural systems and rehabilitation Engineering Anatolian Journal of Cardiology Alliance for engineering in Biology and Medicine (IRBM) Biocybernetics and Biomedical Engineering Biomedical Signal Processing and Control Computer Methods and Programs in Biomedicine (CMPB) Digital Signal Processing (DSP Elsevier) Archives of the Turkish Society of Cardiology Journal of Medical Signals and Sensors (JMSS) Medical Image Analysis (MEDIA Elsevier) Neural Computing and Applications |
Computer Skills: |
Matlab Professional Programmer
Simulink Fuzzy Logic EEGLab Graphical User Interface (GUI) Programming Languages: C++ Software Packages: PSPICE, ORCAD, Proteus, Codvision |
Other Skills |
Language: Advanced English |
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