EMAN MOHAMMADI NEJAD

Eman Mohammadi Nejad has a strong background in data science and computer vision. They have served in various leadership roles, including as the Head of Data Science at Wahi since May 2022. In this role, they are responsible for recruiting and mentoring a team of data scientists and analysts, establishing data science initiatives aligned with company goals, and collaborating with cross-functional teams to drive business growth.

Prior to Wahi, Eman Mohammadi Nejad was the Chief Data Scientist at Canvass AI from May 2019 to May 2022. They focused on onboarding new clients and introducing the Canvass AI product to users. They also worked closely with the product team to define required functionalities and prepared data-driven solution architectures for industrial use cases.

Before Canvass AI, Eman Mohammadi Nejad served as the Chief Scientist at Spxtrm AI from October 2017 to May 2019. In this role, they focused on computer vision and data science for the development of an intelligent monitoring system. They supervised a team of machine learning and computer vision scientists and worked towards the product road map.

Eman Mohammadi Nejad's work experience also includes roles as a Research Assistant and Graduate Teaching Assistant at the University of Windsor. As a Research Assistant from January 2015 to February 2018, they focused on computer vision methodologies for human action recognition and developed knowledge in supervised and unsupervised learning frameworks, deep learning, and statistical analysis. As a Graduate Teaching Assistant from May 2015 to December 2017, they assisted in teaching and supporting students in their academic journey.

Eman Mohammadi Nejad has a strong educational background in the field of Engineering and Computer Science.

In 2005, Eman Mohammadi Nejad obtained a Bachelor's Degree in Electronics Engineering from the National Aviation University, where they gained foundational knowledge in electronics.

From 2012 to 2014, Eman Mohammadi Nejad pursued a Master's Degree in Electronics and Communications Engineering at De La Salle University. During this period, their focus was on computer vision and medical image processing. This advanced degree allowed them to gain expertise in these fields.

Continuing their pursuit of higher education, Eman Mohammadi Nejad completed a Doctor of Philosophy (PhD) program in Electrical and Computer Engineering at the University of Windsor from 2015 to 2018. This PhD degree focused on further enhancing their understanding of advanced concepts in electrical and computer engineering.

In addition to their formal education, Eman Mohammadi Nejad also obtained various certifications to enhance their knowledge and skills. This includes certifications in "Structuring Machine Learning Projects" from deeplearning.ai (obtained in May 2018), "Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization" from Coursera Course Certificates (obtained in April 2018), "Neural Networks and Deep Learning" from Coursera Course Certificates (obtained in March 2018), and "Spectrum Analyzer Training on Digital Modulations" from Rohde & Schwarz (obtained in May 2015).

Overall, Eman Mohammadi Nejad's educational history showcases their commitment to continuous learning and specialization in the field of Engineering and Computer Science.