Education:

PhD: Electrical and Computer Engineering, University of Toronto, Toronto, Canada, 2012

MSc: Electrical and Computer Engineering, University of Calgary, Calgary, Canada, 2007

BSc: Electrical Engineering, Amir-Kabir University of Technology, Tehran, Iran, 2004

Research:

I am a joint member of Digital Systems and Biomedical Engineering Groups, performing research on:

Machine learning

Computer vision

Biomedical signal processing

Biometrics

Our Human Machine Interfaces Lab

Some of My Research Projects:

Brain Signal Classification: In this project, machine learning methods for time series are used for the analysis of human brain states through classification of EEG signals.

Action Recognition: In this project, machine learning methods for time series are used for classification of human actions through 3D location of body joints over time.

Facial Image Alignment: In this project, a very fine alignment of facial images (both 2D images and 3D scans) is sought. This alignment significantly enhances the face classification accuracy afterwards.

Cuff-less Estimation of Blood Pressure: In this project, machine learning methods are used to estimate the blood pressure through vital signals such as PPG.

My research projects in more details

Teaching:

Undergraduate Courses:

An Introduction to Machine Learning (Spring 2019, Spring 2020, Spring 2021, Fall 2021)

Logic Circuits (Fall 2014, Spring 2015, Fall 2015, Fall 2016, Fall 2017, Fall 2018, Fall 2020, Spring 2023)

Analogue Circuits (Spring 2016)

Machine Learning and Vision Lab (Spring 2018, Fall 2018, Spring 2019, Fall 2019, Spring 2020, Fall 2020, Fall 2021, Fall 2022, Fall 2023)

Advanced Vision Lab (Spring 2022)

Graduate Courses:

Computer Vision (Fall 2014, Spring 2015, Spring 2016, Fall 2016, Spring 2018, Spring 2019, Spring 2020, Spring 2022, Fall 2023)

Statistical Learning (Fall 2015, Spring 2017, Spring 2018, Fall 2018, Fall 2019, Spring 2021, Spring 2022, Spring 2023, Fall 2023)

Computational Genomics (Fall 2017, Fall 2019, Fall 2022)

To TA applicants:

Please send me an email with subject line "TA Application" containing your CV and transcript to hoda at sharif.edu. I will get back to you within the first two weeks of the semester.

Requirements for Receiving Letter of Recommendation:

Taking at least two courses with me, or one course and your BSc project, or one course and one TA is required to receive recommendation letter from me. Maximum number of recommendation letters is two. You need to send me an email with subject line "Recommendation Letter" containing your CV and transcript to hoda at sharif.edu.

Publications:

Paria Mansourinezhad, Mohammad Mahdi Ahmadi, Hoda Mohammadzade, “Blood pressure estimation using a PPG signal recorded from the fingertip of a hand moving in the sagittal plane,” IEEE Sensors Journal, 2023.

Ensieh Khazaei, Hoda Mohammadzade, “Temporal analysis of functional brain connectivity for eeg-based emotion recognition,” Scientia Iranica, 2023.

Hassan Keshvarikhojasteh, Hoda Mohammadzade, Hamid Behroozi, “Temporal Action Localization Using Gated Recurrent Units,” The Visual Computer, 2022.

Alireza Maleki, Ali Taherinassaj, Hoda Mohammadzade, “A Simulation of Bayesian Surprise,” in Proceedings of 30th International Conference on Electrical Engineering (ICEE), 84-90, 2022.

Ali Abdari, Hoda Mohammadzade, Seyed Ali Hashemian, “Trajectory Clustering in Surveillance Videos Using Dynamic Time Warping,” in Proceedings of 7th International Conference on Signal Processing and Intelligent Systems, 2021.

Sara Khalili, Hoda Mohammadzade, Mohammad Mahdi Ahmadi, “Elderly Fall Detection Under Partial Occlusion of Subject's Body in the Camera's Field of View Using CCTV Cameras,” in Proceedings of 6th International Conference on Biomedical Engineering, 2021.

Mohammad Azadbakht, Ali Sayadmanesh, Naghme Nazer, Amirhossein Ahmadi, Sara Hemmati, Hoda Mohammadzade, Marzieh Ebrahimi, Hossein Baharvand, Babak Khalaj, Mahmoud Reza Aghamaali, Mohsen Basiri, “CRISPRi-mediated knock-down of PRDM1/BLIMP1 programs central memory differentiation in ex vivo-expanded human T cells,” BioImpacts, 2021.

Shirin Shoushatri, Hoda Mohammadzade, Arash Amini , “Emotion Recognition Using Sparse Graph Analysis of Brain Connectivity,” in Proceedings of 6th International Conference on Biomedical Engineering, 2021.

Mohammad Hossein Sadeghi, Hoda Mohammadzade, Hamid Behroozi, “Accurate Kidney Tumor Segmentation Using Weakly-Supervised Kidney Volume Segmentation in CT Images,” in Proceedings of 6th International Conference on Biomedical Engineering, 2021.

Mohammad Ahmadi-Mobarakeh, Hoda Mohammadzade, “ECG Classification Using DTW-Based Learnable Kernels in Deep Neural Networks,” in Proceedings of 6th International Conference on Biomedical Engineering, 2021.

Amir Gholipour, Alireza Taheri, Hoda Mohammadzade, “Automated Lip-Reading Robotic System based on Convolutional Neural Network and Long Short-Term Memory, in Proceedings of 13th International Conference on Social Robotics, 2021.

Hoda Mohammadzade, Soheil Hosseini, Mohammad Reza Rezaei-Dastjerdehei and Mohsen Tabejamaat, “Dynamic Time Warping Based Features with Action-Specific Joint Importance Maps for Action Recognition Using Kinect Depth Sensor,” IEEE Sensors Journal, 2021.(PDF)

Hoda Mohammadzade and Mohsen Tabejamaat, “Embedded Feature Representation in Dynamic Time Warping Space for 3D Action Recognition Using Kinect Depth Sensor,” Journal of Machine Vision and Image Processing, 2021.

Hoda Mohammadzade and Mohsen Tabejamaat, “Contributive Representation based Reconstruction for Online 3D Action Recognition,” International Journal of Pattern Recognition and Artificial Intelligence, 2020.(PDF)

Mohsen Tabejamaat and Hoda Mohammadzade, “Sequential Nonlinear Encoding; A Low Dimensional Regression Algorithm with Application to EEG based Driving Fatigue Detection,” Scientia Iranica, in press.(PDF)

Mohammad Akyash, Hoda Mohammadzade and Hamid Behroozi, “A Dynamic Time Warping Based Kernel for 3D Action Recognition Using Kinect Depth Sensor,” in Proceedings of Iranian Conference on Electrical Engineering, September 2020.

Navid Hasanzadeh, Mohammad Mahdi Ahmadi and Hoda Mohammadzade, “Blood Pressure Estimation Using Photoplethysmogram Signal and Its Morphological Features,” IEEE Sensors Journal, 2019.(PDF)

Hoda Mohammadzade and Mohsen Tabejamaat, “Sparsness Embedding in Bending of Space and Time; A Case Study on Unsupervised 3D Action Recognition,” Journal of Visual Communication and Image Representation, 2019. (PDF)

Saeed Ghodsi, Hoda Mohammadzade and Hamid Aghajan, “Analysis of Brain Connectivity for Epileptic Seizure Prediction Using EEG Signals,” Iranian Journal of Biomedical Engineering, 2019.(PDF)

Farhad Khezeli and Hoda Mohammadzade, “Time-Invariant 3D Human Action Recognition with Positive and Negative Movement Memory using Convolutional Neural Networks,” in Proceedings of International Conference on Pattern Recognition and Image Analysis , 2019.

Pantea Kiaei, Mojan Javaheripi and Hoda Mohammadzade,“High Accuracy Farsi Language Character Segmentation and Recognition,” in Proceedings of Iranian Conference on Electrical Engineering , 2019.

Hoda Mohammadzade, Amirhossein Sayyafan, Benyamin Ghojogh, “Pixel-Level Alignment of Facial Images for High Accuracy Recognition Using Ensemble of Patches,” Journal of the Optical Society of America A- Optics, Image Science, and Vision, vol. 35, no. 6, 2018. (Highlighted Paper)(PDF)

Nasrin Ravansalar and Hoda Mohammadzade, “Accurate Extraction of Corresponding Surface Normal Vectors by Point Cloud Partitioning for 3D Face Recognition under Expression Variation,” in Proceedings of Iranian Conference on Signal Processing and Intelligent Systems, 2018.

Parsa Moradi, Naghme Nazer, Amirhosein Khas Ahmadi, Hoda Mohammadzade, Hasan Khojasteh Jafari, “Discovering Informative Regions in Iris Images to Predict Diabetes,” in Proceedings of International Conference on Biomedical Engineering, 2018.(PDF) (Source Code and Dataset)

Saeed Ghodsi, Hoda Mohammadzade, Erfan Korki, “Simultaneous Joint and Object Trajectory Templates for Human Activity Recognition from 3-D Data,” Journal of Visual Communication and Image Representation, vol. 55, pp. 729-741, 2018.(PDF)

Benyamin Ghojogh, Saeed Bagheri Shouraki, Hoda Mohammadzade, Ensieh Iranmehr, “A Fusion-based Gender Recognition Method Using Facial Images,” in Proceedings of Iranian Conference on Electrical Engineering , May 2018.

Mozhgan Mokari, Hoda Mohammadzade, Benyamin Ghojogh, “Recognizing Involuntary Actions from 3D Skeleton Data Using Body States,” Scientia Iranica , in press.(PDF)

Alireza Malekmohammadi, Hoda Mohammadzade, Alireza Chamanzar, Mahdi Shabany, Benyamin Ghojogh , “An Efficient Hardware Implementation for a Motor Imagery Brain Computer Interface System,” Scientia Iranica , in press.

Benyamin Ghojogh, Hoda Mohammadzade, and Mozhgan Mokari, "Fisherposes for Human Action Recognition Using Kinect Sensor Data," IEEE Sensors Journal, vol. 18, no. 4, pp. 1612-1627, 2018.(PDF)

Benyamin Ghojogh, and Hoda Mohammadzade, "Automatic Extraction of Key-Poses and Key-Joints for Action Recognition Using 3D Skeleton Data," in Proceedings of Iranian Conference on Machine Vision and Image Processing, Nov. 2017.

Mohammad Nouri, Hoda Mohammadzade, and Iman Gholampour, "A Complete Iris-Eyelid Model for Iris Center Localization and Eye Gaze Tracking," in Proceedings of Iranian Conference on Electrical Engineering, May 2017.

Moein Khajehnejad, Forough Habibollahi Saatlou, and Hoda Mohammadzade, "Alzheimer's disease early diagnosis using manifold-based semi-supervised learning," Brain Sciences, vol. 7, 2017.(PDF)

Hoda Mohammadzade, Benyamin Ghojogh, Sina Faezi, and Mahdi Shabany, "Critical object recognition in millimeter-wave images with robustness to rotation and scale," Journal of the Optical Society of America A-Optics Image Science and Vision, vol. 34, no. 5, 2017.(PDF)

Mohamad Kachuee, Mohammad M. Kiani, Hoda Mohammadzade, and Mahdi Shabany, "Cuffless Blood Pressure Estimation Algorithms for Continuous Health-Care Monitoring," IEEE Transactions on Biomedical Engineering (TBME), vol. 64, no. 4, pp. 859-869, 2017. (PDF)

Mohamad Kachuee, Mohammad M. Kiani, Hoda Mohammadzade, and Mahdi Shabany, "Cuff-Less High-Accuracy Calibration-Free Blood Pressure Estimation Using Pulse Transit Time," in Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS), pp. 1006-1009, Lisbon, Portugal, May 2015.

Hoda Mohammadzade and Dimitris Hatzinakos, "Projection into Expression Subspaces for Face Recognition from Single Sample per Person," IEEE Transactions on Affective Computing (TAFFC), vol. 4, no. 1, pp. 69-82, March 2013. (PDF-Main, PDF-Supplementary)

Hoda Mohammadzade and Dimitris Hatzinakos, "Iterative Closest Normal Point for 3D Face Recognition," IEEE Transactions on Pattern Recognition and Machine Intelligence (TPAMI), vol. 35, no. 2, pp. 381-397, Feb. 2013. (PDF)

Hoda Mohammadzade and Dimitrios Hatzinakos, "Correspondence Normal Difference: An Aligned Representation of 3D Faces to Apply Discriminant Analysis Methods," in Proceedings of the International Conference on Digital Signal Processing (DSP), 6-8 July 2011, pp. 1-8.

Foteini Agrafioti, Jiexin Gao, Hoda Mohammadzade, and Dimitrios Hatzinakos, "A 2D Bivariate EMD Algorithm for Image Fusion," in Proceedings of the International Conference on Digital Signal Processing (DSP), 6-8 July 2011, pp. 1-6.

Hoda Mohammadzade, Foteini Agrafioti, Jiexin Gao, and Dimitrios Hatzinakos, "BEMD for Expression Transformation in Face Recogniton," in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 22-27 May 2011, pp. 1501-1504.

Jiexin Gao, Foteini Agrafioti, Hoda Mohammadzade, and Dimitrios Hatzinakos, "ECG for Blind Identity Verification in Distributed Systems," in Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 22-27 May 2011, pp. 1916-1919.

Hoda Mohammadzade and Dimitris Hatzinakos, "An Expression Transformation for Improving the Recognition of Expression-Variant Faces from One Sample Image per Person," in Proceedings of the IEEE International Conference on Biometric: Theory, Applications and Systems (BTAS), Washington, DC, 2010, pp. 1-6.

Hoda Mohammadzade and Len T. Bruton, "A Simultaneous Div-Curl 2D Clifford Fourier Transform Filter for Enhancing Vortices, Sinks and Sources in Sampled 2D Vector Field Images," in Proceedings of the IEEE International Symposium on Circuits and Systems (ISCAS), pp. 821-824, New Orleans, LA, May 2007.

Colleagues (Research and Teaching):

PhD Students:

Naghme Nazer, Thesis: Discovery and Validation of Biomarkers in MS

Alireza Noorbakhsh, Thesis: Time Series Aligment Using Deep Learning

Ramtin Malekpour, Thesis:

Niloufar Fakhfour, Thesis:

Master Students:

Ali Shahedi (Coadvised with Dr. I. Gholampour), Thesis: Design and implementation of an algorithm with low computational cost for pedestrian attribute recognition in surveillance videos

Mohammad Javad Mohammadi, Thesis: High-Speed Human Tracking in CCTV Cameras

Adel Parvizi, Thesis: Design and implementation of an adaptive method for pedestrian detection in CCTV cameras with low computational cost

Mehrdad Morsali (Coadvised with Dr. S. Bagheri-Shouraki), Thesis: A Vision-based Virtual Assistant

Zeinab Sharifi, Thesis: Human Tracking in CCTV Cameras Using Adaptive Methods

Faezeh Paryabi, (Coadvised with Dr. H. Behroozi), Thesis: Diverse Video Captioning for Complex Action

Mohsen Shirkarami (2023), Thesis: Cross-Domain EEG-based Emotion Recognition

Ramtin Malekpour (2022), Thesis: Design and implementation of a fall detection system using surveillance cameras

Amir Gholipour (2022) (Coadvised with Dr. A. Taheri), Thesis: Designing an automatic lip-reading system for Persian words using deep neural networks and implementing it on Rasa social robot

Paria Mansouri-Nezhad (2021) (Coadvised with Dr. M.M. Ahmadi), Thesis:

Sara Khalili (2021) (Coadvised with Dr. M.M. Ahmadi), Thesis: Elderly fall detection under partial occlusion of subject's body in the camera’s field of view using CCTV cameras

Mohammad Hossein Sadeghi (2021) (Coadvised with Dr. H. Behroozi), Thesis: Instance Segementation in Medical Images Using Weak Annotation

Heila Haji-Kazem (2021) (Coadvised with Dr. H. Behroozi), Thesis: Blood pressure estimation from PPG signal using dynamic time warping based methods

Armin Moharramkhani (2021) (Coadvised with Dr. A. Amini), Thesis: Synthetic Video Generation Using Test Scene and Subject to Improve Fall Detection Accuracy

Mohammad Javad Taheri (2021) (Coadvised with Dr. H. Behroozi), Thesis: Multiple Object Tracking based on Trajectory Information

Mohammad Ahmadi (2021), Thesis: Time series analysis using deep neural networks based on DTW kernels and its application in blood pressure estimation using PPG signals

Shirin Shooshtari (2021) (Coadvised with Dr. A. Amini), Thesis: Designing EEG-based Deep Neural Network for Analysis of Functional and Effective Brain Connectivity

Amirhossein Arefipour (2021) (Coadvised with Dr. H. Behroozi), Thesis: Dense Video Captioning for Complex Actions

Hassan Keshvari-Khojaste (2021) (Coadvised with Dr. H. Behroozi), Thesis: Human Action Prediction Using Recurrent Neural Networks for Video Segmentation

Mohammad Hossein Akyash (2021) (Coadvised with Dr. H. Behroozi), Thesis: The effect of temporal alignment in 3D human action recognition using recurrent neural networks

Onsie Khazaei (2020), Thesis: Temporal analysis of functional brain connectivity using EEG signals:

Atefe Khoshtinat (2020) (Coadvised with Dr. H. Aghajan), Thesis: Investigation of Brain Connectivity Changes during Seizure using Graph Theory

Mohammad Shahbazi (2020) (Coadvised with Dr. A. Amini), Thesis: HDR Image Reconstruction From a Single-Exposure LDR Image

Mostafa Moradipour (2020) (Coadvised with Dr. H. Behroozi), Thesis: Analysis of People Appearance Variation in Multi-Camera Networks

Fateme Aslanbeigi (2020) (Coadvised with Dr. B. Vosoughi-Vahdat), Thesis: Deep Learning for Action Recognition

Naghme Nazer (2019) (Coadvised with Dr. B. H. Khalaj), Thesis: Identifying Gene Expression Patterns in Memory T Cell Development

Saeed Ghodsi (2018) (Coadvised with Dr. H. Aghajan), Thesis: Analysis of Functional Brain Connectivity using EEG Signals for Classification of Brain States

Benyamin Ghojogh (2017), Thesis: Improving space-time interest points method for action recognition application

Mozhgan Mokari (2016), Thesis: Human action recognition in depth map for abnormal event detection such as falling

Mohammad Nouri (Coadvised with Dr. I. Gholampour), Thesis:

Mohammad Kachuee (2016) (Coadvised with Dr. M. Shabany), Thesis: Design of Efficient Algorithms for Cuff-less and Continuous Estimation of Blood Pressure in Smart Mobile Healthcare Systems

Mohammad Mahdi Kiani (2016) (Coadvised with Dr. M. Shabany), Thesis: Hardware Implementation of wearable cuff-less blood pressure monitoring module

Alireza Malek-Mohammadi (2015) (Coadvised with Dr. M. Shabany), Thesis: Efficient Hardware Implementation of a Feature Extraction and Classification Algorithm for Brain Computer Interface (BCI) Signals

Bachelor Students:

Ali Mahdian (2023)

Farhad Fallah (2023)

Mohammad Shahverdi (2023)

Afsane Heydari (2021)

Armin Azizi (2021)

Sajjad Salari (2021)

Alireza Maleki (2021)

Ali Taherinassaj (2021)

Zeinab Sharifi (2020)

Mohammad Reza Farah-Nejad (2020)

Nona Rajabi (2019)

Yasaman Haghighi (2019)

Mohammad Amin Roohi (2019)

Dorsa Esmailpour (2019)

Forough Habibollahi (2018)

Navid Hasanzadeh (2018)

Behzad Behzadi (2017)

Moein Khajehnezhad (2017)

Pantea Kiaei (2017)

Mojan Javaheripi (2017)

Andisheh Amrollahi (2017)

Shayan Fazeli (2017)

Amirhossein Sayyafan (2016)

Saeed Ghodsi (2016)

Nasrin Ravansalar (2016)

Sina Faezi (2015) (winner of Dr. Nahvi's bachelor poject award)

Selected TAs:

Zeinab Sharifi, TA in Computer Vision (Fall 2023), Learning and Vision Lab (Fall 2023)

Naghme Nazer, TA in Statistical Learning (Spring 2023), Computational Genomics (Fall 2022)

Seyed Mohammad Sajadi, TA in Logic Circuits (Spring 2023)

Mehran Mazaheri, TA in Logic Circuits (Spring 2023)

Hossein Chitsaz, TA in Logic Circuits (Spring 2023)

Ali Jafari, TA in Logic Circuits (Spring 2023)

Omid Jafaei, TA in Statistical Learning (Fall 2023)

Faezeh Paryabi, TA in Learning and Vision Lab (Fall 2023)

Favourites:

Favourite Video Clips:

مضطرانه

قله ای در کار نیست

عظمت جهان

زبان ناقوس

Favourite Books:

تو بی نظیری

روی ماه خداوند را ببوس

سلام بر ابراهیم

عادت های اتمی

Favourite Lectures:

کانال استاد محمد شجاعی

درس تفسیر آیت الله العظمی وحید خراسانی

سخنرانیهای مهندس سید مجتبی حسینی

Favourite Poems:

اشعار مهدی اخوان ثالث

اشعار مهدی سهیلی

خبر دارم بهار بهترینی هست

Favourite Charities:

کمک به کودکان نیازمند در هر کجای ایران به طور مستقیم

Contact:

EE East Building, Room 610
Department of Electrical Engineering
Sharif University of Technology
Azadi Ave., Tehran, Iran
P.O. Box 11155-4363
Tel: +98-21-66165927
Email: hoda at sharif dot edu