Mehdi Yekrangi

Mehdi Yekrangi achieved his B.Sc. in Information technology from IUST (Iran University of Science and Technology) and his M.Sc. in E-commerce from QIAU (Qazvin Islamic Azad University), Mehdi joined the SFI Centre for Research Training in Artificial Intelligence. He has a great interest in the Financial Markets which interested him to start learning and working in CFD markets, dealing with various data produced daily in these markets from the very beginning of his undergraduate studies. During his undergraduate studies, he was mostly engaged in developing applications and websites; and due to his great interest in the finance domain, he developed an application with advanced capabilities for accounting affairs for his Bachelor’s graduation work. The abundant data in Social Networks and Financial Markets have always fascinated him to employ it gaining novel insights about sentiments and market behaviors. Therefore, he continued his Master’s studies focused on Natural Language Processing and Sentiment analysis in the Financial Markets. During his researches, he has worked on the relationship between social networks and currency market trends to develop a domain-specific lexicon for Sentiment Analysis in the Financial Markets which has resulted in a journal paper. Since his experiences in the Financial Markets are in close connection with Data Science, he has worked with various kinds of structured/unstructured data. He has applied various Data Mining and Machine Learning methods and techniques solving challenges and problems while improving Technical, Fundamental, and Sentimental approaches to enhance investment results. Mehdi is now working on the ontologies and developing trustworthy resources for Sentiment Analysis in the financial domain and employing them in deep learning architectures.

Supervisor: Dr. Nikola Nikolov & Professor Tiziana Margaria