Ramtin (Reyhani) R.
Unsupervised Extractive Summarization Using Hierarchical Transformers (Master’s Thesis)
Experience
Unsupervised Extractive Summarization Using Hierarchical Transformers (Master’s Thesis)
- Developed a model to summarize/highlight text based on a pre-trained hierarchical transformer with an added PMI-based redundancy control in an unsupervised manner.
Lung Disease Prediction from X-ray Images
- Engineered a deep learning model for classifying thoracic diseases from chest X-ray images, incorporating attention mechanisms and global-local feature fusion to maximize accuracy and localization in a weakly-supervised setting.
Reddit Sentiment and Community Analysis
- Conducted an in-depth analysis of community detection within social graphs derived from Reddit posts about the Israeli-Palestinian conflict.
Llama2 ConceptARC Test
- Evaluated Llama2-13B with ConceptARC to assess the analogical reasoning capabilities of the large language model.
A Computational Approach to Homans Social Exchange Theory
Physica A: Statistical Mechanics and its Applications, 597, 127263.
Developed computational models based on Homans’ social exchange theory to analyze the effects of memory, values, and interactions on group formation.
Simulated agent-based exchanges to investigate sociological patterns.
Effect of Hidden Variables in Inverse Statistical Physics
- Examined time series data from financial markets to quantify the impact of hidden nodes in large networks, such as Stock Correlation Networks, utilizing the Inverse Ising Model.
Predicting Pulsar Stars
Developed a model to classify pulsar stars from radio signal data.
Applied advanced feature engineering and supervised algorithms to achieve high prediction precision.
Summary
As a master’s graduate in Data Science, specialized in Deep Learning, Image Processing and Natural Language Processing, I am Seeking positions in which I can develop my skills and contribute to innovative and real-world projects using my technical skills.
Skills
- Programming Languages: Python, R, Sql, C/c++, Vba, Mathematica
- Libraries And Frameworks: Fairseq, Pytorch, Tensorflow, Keras, Pandas, Numpy, Matplotlib, Scikit-learn
- Tools: Git, Latex
- Musical Instruments: Piano, Ukulele, Santoor, Harmonica
- Soft Skills: Technical Adaptability, Critical Thinking, Communication, Team Work
Languages
Education
University of Padova
Master of Science · Data Science (Cognitive, Social, and Economic Data Analytics) · Padua, Italy
Shahid Beheshti University
Master of Science · Physics (Statistical Physics & Complex Systems) · Tehran, Iran, Islamic Republic of
Sharif University of Technology
Bachelor of Science · Physics · Tehran, Iran, Islamic Republic of
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