Hybrid
Key accomplishments
● Honored as a “DAAD AI-NET Fellow” – Generative Models in Machine Learning by the Federal Ministry of Education & Research, Germany, in April 2023.
● Published papers in top-tier conferences, including the Winter Conference on Applications of Computer Vision (WACV), the British Machine Vision Conference (BMVC), and the Asian Conference of Computer Vision (ACCV).
● Authored two review papers in esteemed journals: IEEE Transactions on Intelligent Transportation Systems (Impact Factor: 8.5, cited more than 280 times) and ACM Computing Surveys (Impact Factor: 16.6, ranked 3/111 in Computer Science Theory & Methods).
● Received the PDFA Travel Award at the University of Alberta, Canada, in February 2023.
● Received the Best Paper Award at the 27th Iranian Conference on Electrical Engineering (ICEE 2019).
● Received a Research Award from the Ministry of Science, Research, and Technology, Iran, in March 2019.
● Honored with the Academic Awards from the National Organization for Development of Exceptional Talents (NODET) at Yazd University, Iran, in June 2018 and February 2019.
● Named among the “Top 100 Iranian Ph.D. Dissertations” and granted by the Iran National Science Foundation (INSF) in July 2018.
● Recognized as an “Outstanding M.Sc. Student” and “Outstanding Ph.D. Student” in the Department of Electrical Engineering at Yazd University, Iran, in January 2015 and February 2017.
Role 1
Computer vision engineer
Role 2
Machine learning engineer
Test Score
AI, Machine learning, Data Science
100%
Unspecified
Any
Graduate
Canada
Any
NA