Seyednaser Nourashrafeddin
About Seyednaser Nourashrafeddin
Seyednaser Nourashrafeddin is an experienced machine learning scientist and manager, currently working at Kinaxis and serving as an adjunct faculty member at Dalhousie University. He has a strong academic background with a Ph.D. in Natural Language Processing and extensive research interests in time-series analysis and computer vision.
Work at Kinaxis
Seyednaser Nourashrafeddin currently holds the position of ML Scientist, Manager at Kinaxis, where he has worked since 2020. Prior to this role, he served as an ML Scientist in an advisory capacity from 2017 to 2019. Both positions are based in Ottawa, Ontario, Canada. In his current managerial role, he leads a team focused on machine learning projects, contributing to the company's initiatives in the field.
Education and Expertise
Seyednaser Nourashrafeddin earned a Doctor of Philosophy (Ph.D.) in Natural Language Processing, Data Mining, and Machine Learning from Dalhousie University, completing his studies from 2010 to 2014. He also holds a Master's degree in Computer Engineering and Robotics from Amirkabir University of Technology - Tehran Polytechnic, achieved between 2005 and 2008. Additionally, he obtained a Bachelor's degree in Computer Engineering (Software) from Sharif University of Technology from 2000 to 2004. His educational background supports his expertise in machine learning, time-series analysis, computer vision, and natural language processing.
Background
Seyednaser Nourashrafeddin has a diverse background in academia and industry. He has been associated with Dalhousie University in various capacities, including Adjunct Faculty Member since 2017, Research Associate for seven months in 2017, and Postdoctoral Fellow from 2015 to 2017. His teaching experience includes roles as an Instructor and Teaching Assistant within the Faculty of Computer Science. This extensive involvement in academia complements his industry experience at Kinaxis.
Research Interests
Seyednaser Nourashrafeddin has research interests that encompass time-series analysis, computer vision, machine learning, and natural language processing. His work in these areas reflects a commitment to advancing practical applications of machine learning in various settings. He has been involved in projects that likely integrate these research interests, contributing to the broader field of machine learning.
Achievements
Seyednaser Nourashrafeddin has been contributing to the field of machine learning for over a decade. His work spans both academic and industry settings, showcasing his ability to apply theoretical knowledge to practical challenges. His involvement in machine learning projects, particularly those that incorporate time-series analysis and computer vision, highlights his significant contributions to the field.