زمینه های تحقیق:

Education:

 

Ph.D. in Biomedical Engineering (Bioelectric),

School of Electrical and Computer Engineering, University College of Engineering, University of Tehran, Tehran, Iran, 2008-2014.

Supervisor: Dr. Gholam-Ali Hossein-Zadeh

Thesis title: Development of a nonlinear method based on information theory and neural network for estimating the brain connectivity using EEG signals

 

M.Sc. in Biomedical Engineering (Bioelectric),

School of Electrical and Computer Engineering, University College of Engineering, University of Tehran, Tehran, Iran, 2005-2008.

Supervisor: Dr. Seyed Kamaledin Setarehdan

Thesis title: Improvements in the reconstruction of elastographic images using multiscale methods and nonlinear techniques.

 

B.Sc. in Electrical Engineering (Control),

School of Electrical and Computer Engineering, University College of Engineering, University of Tehran, Tehran, Iran, 2000-2005.

Supervisor: Dr. Ashkan Rahimi-Kian

Thesis title: Forecasting the electricity price in power markets using the time series analysis and GARCH model.

Academic Activities:

Assistant Professor,

Faculty of Electrical Engineering, K. N. Toosi University of Technology, 2016- Present.

Assistant Professor,

Department of Electrical Engineering, Faculty of Engineering and Technology, Imam Khomeini International University, Qazvin, Iran, 2015-2016.

Invited Lecturer,

Faculty of Electrical, Computer and IT Engineering, Islamic Azad University of Qazvin, Qazvin, Iran, 2015.

Invited Lecturer,

Department of Electrical Engineering, Faculty of Engineering and Technology, Imam Khomeini International University, Qazvin, Iran, 2013-2015.

Interested Research Fields:

-          Functional Imaging

-          Functional Brain Mapping (EEG/MEG, fMRI, …)

-          Computational Neuroscience

-          Applications of Ultrasound in Medicine

Interested Teaching Fields:

-          Signals & Systems

-          Functional Imaging

-          Ultrasound in Medicine

-          Digital Image Processing

-          Digital Signal Processing

-          Statistical Pattern Recognition

Courses:

Graduate Courses:

-          Digital Image Processing

-          Statistical Pattern Recognition

Undergraduate Courses:

-          Signals & Systems

-          Ordinary Differential Equations

-          Digital Signal Processing

-          Electrical Circuits (II)

-          Logic Circuits

-          Electronic (I) and (II)

-          Electrical Measurement

-          Basics of Electrical Engineering