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.
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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.
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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.
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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.
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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.
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.
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: |
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 |
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) |
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) |