Hawre Hosseini
About Hawre Hosseini
Hawre Hosseini is an Applied Research Scientist specializing in Natural Language Processing (NLP) at Thomson Reuters and has served as a Graduate Research Assistant at Ryerson University. He holds a PhD in Electrical and Computer Engineering and has extensive experience in NLP for low resource languages, contributing to both academic research and industry applications.
Work at Thomson Reuters
Hawre Hosseini has been serving as an Applied Research Scientist in Natural Language Processing (NLP) at Thomson Reuters since 2021. In this role, he focuses on advancing NLP technologies and methodologies, contributing to the development of innovative solutions that enhance information retrieval and processing. His expertise in NLP, particularly for low-resource languages, informs his work, allowing him to address complex challenges in the field.
Education and Expertise
Hawre Hosseini holds a Doctor of Philosophy (PhD) in Electrical and Computer Engineering from Ryerson University, which he completed from 2016 to 2022. Prior to this, he earned a Master of Science (MSc) in Computational Linguistics - NLP from Sharif University of Technology between 2013 and 2015. His academic background equips him with a strong foundation in machine learning and linguistic knowledge, which he applies in his research and professional endeavors.
Background
Hawre Hosseini has a diverse professional background that includes significant roles in academia and industry. He worked as a Graduate Research Assistant at Ryerson University from 2016 to 2022, contributing to various research projects. His experience also includes a position as a Data Scientist at Boss Insights for five months in 2018, where he applied his analytical skills in data-driven environments. Additionally, he served as a Teaching Assistant at Sharif University of Technology in 2015.
Achievements
Hawre Hosseini has made notable contributions to the field of NLP, particularly through his role as Chief Research Officer (CRO) at AsoSoft, the first Kurdish NLP company. He played a key role in developing several products aimed at enhancing language processing capabilities. His research has been published in top-tier venues, reflecting his expertise in Information Retrieval and Natural Language Processing. He has also engaged in projects related to computer vision and music data processing.