Education
- Research Fellow, Computer Science (2024-2025)
* Industrial, Environmental and Biometric Informatics (IEBI) Laboratory
* Università degli Studi di Milano, Milano, Italy
* Main Focus:
Artificial Intelligence for Person Identification in Emerging Scenarios
* Additional Activities:
1. Realized a Python framework for iris recognition. The framework includes different algorithms and deep learning methods designed for every step of the biometric recognition process. The framework can be applied to ocular images acquired with conventional
cameras in uncontrolled conditions.
2. Completed a paper (titled “Deep Learning for ECG Biometrics: A Survey”), which is now being finalized for submission to an international peer-reviewed journal. - MSc, Electrical Engineering (2016-2019)
* University of Tabriz, Tabriz, Iran
* Thesis Title:
Classification of Motor Imagery EEG Signals Using Deep Learning Methods
* Published a paper available here. - BSc, Electrical Engineering (2011-2016)
* Amirkabir University of Technology, Tehran, Iran
Research Interests
- Deep Learning and Machine Learning
- Biomedical Signal and Image Processing
- Computer Vision
- Brain Computer Interface
- Generative AI
- Natural Language Processing
- Biometric Recognition
- ECG Biometrics
Research Experience
- Research Fellow (2024-2025)
* Industrial, Environmental and Biometric Informatics (IEBI) Laboratory
Università degli Studi di Milano, Milano, Italy - Research Assistant (2019-2024)
* Autonomous and Tele-Operation Systems Lab
University of Tabriz, Tabriz, Iran - Python Developer (2020-2023)
* Road Traffic Injury Research Center
Under the supervision of Tabriz University of Medical Sciences
* Main Focus:
Detecting the Speed and Inter-Vehicle Safety Distance by Video Processing using Deep Learning
Teaching Experience
- Teacher Assistant (2020)
* Optimal Control at University of Tabriz - Teacher Assistant (2017)
* Linear Control Systems at University of Tabriz
Publications and Projects
Projects and publication are available at Publications and Projects page.
Skills
- Programming:
Python, MATLAB - Frameworks/Libraries:
Pytorch, Tensorflow, Keras, OpenCV, Scikit-learn, HuggigFace (Transformers, Diffusers) - Data Processing:
Numpy, Pandas - ML/DL:
DNN, CNN, RNN/LSTM/GRU, Attention, Transformers, Autoencoders, GAN, Diffusion models, Foundation models, Contrastive Learning - Tools:
Spyder, Pycharm, Jupyter Notebook, Google Colab, Git, TensorBoard - Cloud Platforms:
Microsoft Azure - Miscellaneous:
AVR, Altium designer, LATEX, EndNote - * Some certificates are available at certificates and courses page.
Languages
- English:
Fluent: C1, IELTS: 7.5 - Azerbaijani:
Native Speaker - Persian:
Native Speaker - Italian:
Learning!