CV


FA
Farideh Ebrahimi Khalesari

Farideh Ebrahimi Khalesari

Assistant Professor

College: Electrical & Computer Engineering

Department: Bioelectric Engineering

CV
FA
Farideh Ebrahimi Khalesari

Assistant Professor Farideh Ebrahimi Khalesari

College: Electrical & Computer Engineering - Department: Bioelectric Engineering
faculty396015en

Farideh Ebrahimi Khalesari

Assistant Professor

College: Electrical & Computer Engineering

Department: Bioelectric Engineering


Subjects Taught

activity_titleactivity_descstartedAtendedAt
Physiology I(not set)(not set)
Electric and Electronic Circuits(not set)(not set)
Matlab Programming Workshop(not set)(not set)
Engineering Statistics and Probability(not set)(not set)
Electrical Circuits(not set)(not set)
Electronic Circuits(not set)(not set)
Artifical Neural Networks(not set)(not set)
Modeling of Biological Systems(not set)(not set)
Electrical Circuit and Measurement Lab(not set)(not set)

Executions And Scientific Activities

activity_titleactivity_descstartedAtendedAt
A Multi-stage Dynamical Fusion Network for Multimodal Emotion Recognition01 January 2021(not set)
A Multi-Scale Dilated Convolution Neural Network (MSDCNN) for Event-Related Potential Classification in the BCI P300 Speller01 January 2022(not set)
Heart function grading evaluation based on heart sounds and convolutional neural networks01 January 2023(not set)
Deep Learning in Computational Dermatopathology of Melanoma: A Technical Systematic Literature Review01 January 2023(not set)
Spatiotemporal Estimations of Temperature Rise During Electroporation Treatments using a Deep Neural Network01 January 2023(not set)
EEG-based emotion recognition using a temporal-difference minimizing neural network01 January 2023(not set)
ConTraNet: A hybrid network for improving the classification of EEG and EMG signals with limited training data01 January 2023(not set)
Unsupervised Neural Decoding for Concurrent and Continuous Multi-Finger Force Prediction01 January 2023(not set)
Cross-subject Mental Workload Recognition Using Bi-classifier Domain Adversarial Learning01 January 2024(not set)
Enhancing security in BCI applications with deep learning: wavelet transformed EEG-based user identification01 January 2024(not set)
ECG Feature Extraction Using Stationary Wavelet Transform01 January 2018(not set)
Robust Remote Heart Rat e Estimation from Multiple Asynchronous Noisy Channels using Autoregressive Model with Kalman Filter01 January 2018(not set)
Variational Mode Extraction: a New Efficient Method to Derive Respiratory Signals from ECG01 January 2017(not set)
estimation of respiratory rate from the EMG component mixed mixed in single lead ECG signal01 January 2017(not set)
Sleep stages classification using ECG signal with novel features for the state transition detection01 January 2018(not set)
Efficient Detection and Correction of Variable Strength ECG Artifact from Single Channel EEG01 January 2018(not set)
Non-contact Sleep Stage Detection Using Canonical Correlation Analysis of Respiratory Sound01 January 2018(not set)
Integrating Machine Learning Techniques and Physiology Based Heart Rate Features for Antepartum Fetal Monitoring01 January 2019(not set)
Deep Learning Approaches in Health Care Systems: Taxonomies, Challenges, and Open Issues01 January 2019(not set)
An Review on Deep Learning Approaches in Healthcare Systems: Taxonomies, Challenges, and Open Issues01 January 2020(not set)

Papers in Journals