Mihai Dusmanu
About Mihai Dusmanu
Mihai Dusmanu is a Research Assistant specializing in deep learning techniques for feature detection and description in computer vision. He has a Master of Science degree in Machine Learning and Computer Vision and has worked at notable institutions including Inria and ETH Zurich.
Current Role as Research Assistant
Mihai Dusmanu currently serves as a Research Assistant at Inria, a position he has held since 2018. His work is based in Aquitaine, France, where he focuses on deep learning techniques. His research is specifically directed towards feature detection and description in the field of computer vision. This role allows him to contribute to advancements in the application of deep learning methodologies within this domain.
Previous Experience at Inria
Before his current position, Mihai Dusmanu worked at Inria as a Research Intern for two months in 2016. This role provided him with foundational experience in research within a leading institution in computer science. His time at Inria helped shape his focus on deep learning and computer vision, which he continues to explore in his current role.
Research Assistant at ETH Zurich
In 2017, Mihai Dusmanu was employed as a Research Assistant at ETH Zurich for a duration of four months. This experience further developed his research skills and provided him with exposure to international research environments. His work at ETH Zurich contributed to his understanding of advanced topics in computer science and machine learning.
Educational Background in Computer Science
Mihai Dusmanu has a robust educational background in computer science. He studied at 'Tudor Vianu' National College of Computer Science from 2009 to 2013, where he completed his foundational education in the field. He later attended Ecole Normale Supérieure from 2015 to 2019, earning a Master of Science degree in Machine Learning and Computer Vision. This academic journey has equipped him with the knowledge and skills necessary for his research interests.
Research Interests in Deep Learning and Computer Vision
Mihai Dusmanu has a strong research interest in applying deep learning techniques to address challenges in computer vision. His focus on feature detection and description reflects his commitment to advancing the understanding and capabilities of machine learning in practical applications. His ongoing research aims to contribute to the development of innovative solutions in this rapidly evolving field.