Vida Ramezanian

Research on Monocular Depth Estimation - I research domain generalization in Monocular depth estimation, aiming to improve model performance across diverse datasets. This task involves predicting scene depth from single RGB images, and I'm exploring innovative approaches to tackle domain shift challenges.

Research on Persian Colloquial to Formal Text Style Conversion - Conducted research focused on converting Persian colloquial text to formal style, involving data collection and the development of multiple models to enhance the transformation process

Research on Persian Question Answering Systems - Conducted comprehensive benchmarking of Persian Question Answering Systems, involving data collection, and training multiple models to enhance question-answering capabilities in the Persian language.

Implementation of Machine Learning for Hand Motion Classification through EMG Signals and Development of EMG Signal Acquisition Hardware - Designed and developed an advanced EMG Acquisition hardware system with 8 channels and wireless connectivity. Generated and meticulously curated a comprehensive dataset comprising EMG signals captured during five distinct hand motions. Employed cutting-edge machine learning algorithms to process and analyze the dataset for accurate hand motion recognition.