Master’s Graduate in Artificial Intelligence
Tehran, IRAN
soroushmajd98@gmail.com
live:.cid.4755cb9cfdd62c77 (skype)
Skills
Persian: Native
English: Fluent - TOEFL iBT: 101/120 (R: 26, L: 27, S: 24, W: 24)
Instructor: Dr. Hamed Malek
Instructor: Dr. Hamed Farbeh
Instructor: Dr. Hamed Farbeh
Analyzing underground water levels across France in collaboration with BRGM (French Geological Survey), contributing to sustainable water resource management.
Comprehensive evaluation of LLMs in summarization, analogy testing, formality style transfer, and additional Persian NLP benchmarks.
Improving clinical Semantic Textual Similarity (STS) using metric learning. Developing training strategies to enhance model representation to overcome challenges such as generalization, limited clinical data, and robustness.
Researched different rPPG (Remote Photoplethysmography) signal extraction methods using videos from the skin at different light wavelengths to map blood flow below the skin with the cooperation of The Color and Visual Computing Laboratory (Colourlab) at the Norwegian University of Science and Technology (NTNU).
Estimated the heart rate and mapped blood flow below the skin using facial videos with a non-invasive method called rPPG. Involves detecting the Region of Interest (ROI) (using Neural Network, Thresholding, and Manual Selection), extracting the rPPG signal from the ROI (using two methods of calculating the average pixel intensity and Independent Component Analysis (ICA)), and calculating the Fourier Transform of the rPPG signal to identify the frequency with the highest amplitude as the estimated heart rate.