Dr. Viktoriia Sharmanska

Biography

Viktoriia Sharmanska is dedicated to designing intelligent systems that learn concepts from visual data using machine learning models. Her work primarily focuses on visual data from images and videos, utilizing existing databases and direct web resources. She obtained her MSc in Applied Mathematics from Taras Shevchenko National University of Kyiv, Ukraine, and her PhD in Computer Vision and Machine Learning from the Institute of Science and Technology Austria. Her doctoral thesis concentrated on attribute-based object recognition models that rely on learning with privileged information. In June 2015, she served as a visiting research fellow at the University of Sussex, UK, where she explored cross-modal and cross-dataset learning utilizing privileged information. Since October 2017, she has been involved with Imperial College London as a research fellow, leading a project titled 'Deep Understanding Human Behaviour from Video Data: An Action Emotion Approach'. Her research interests encompass deep learning methods to understand human behavior through facial and bodily cues, algorithmic fairness, and the design of machine learning models to address biases in human dataset collection.

Research Interests