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Mariofanna Milanova
Fulbright US Scholar at U.S. Department of State, NVIDIA Certified Instructor for Deep Learning
Mariofanna Milanova is a distinguished Full Professor in the Department of Computer Science at the University of Arkansas at Little Rock (UALR), where she has been a faculty member since 2001. She specializes in artificial intelligence, machine learning, and computer vision, and has contributed significantly to these fields through teaching, research, and innovation.
Education and Academic Background
- Ph.D. in Technical Science from the Technical University of Sofia, Bulgaria (1995)
- M.Sc. in Artificial Intelligence from the Technical University of Sofia (1991)
- Post-doctoral studies in Biomedical Engineering at the University of Porto, Portugal (1999) and in Computer Vision at the University of Paderborn, Germany (1997) .13
Professional Experience
Dr. Milanova has held various academic positions, including:
- Graduate Coordinator for the Computer Science department at UALR.
- Fulbright U.S. Scholar, contributing to international academic collaboration.
- Visiting professorships at institutions such as the University of Louisville and the University of Porto .13
Research Contributions
Milanova has an extensive publication record with over 120 publications, including:
- More than 53 journal articles and 35 book chapters.
- Two patents related to multimedia signal processing .13
Her research is supported by significant grants from organizations such as NSF, NIH, DARPA, and Homeland Security. She has also been involved in various collaborative projects aimed at advancing technology in areas like health monitoring and threat detection .13
Honors and Certifications
Dr. Milanova is recognized as an IEEE Senior Member and serves as a NVIDIA Deep Learning Institute University Ambassador. She has received several awards for her contributions to research and education, including multiple achievement awards from international conferences on machine learning .134
Areas of Expertise
- Artificial Intelligence
- Machine Learning
- Signal Processing
- Computer Graphics
- Neuroinformatics
Dr. Milanova's work embodies a commitment to advancing knowledge in artificial intelligence and its applications across various domains, making her a prominent figure in her field .123
