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Research and Development Areas

Machine Learning and Deep Learning

Expertise in machine learning and deep learning techniques for various applications, including emotion recognition, multimodal analysis, and pain recognition.

Affective Computing and Human-Robot Interaction

Specialization in affective computing, focusing on emotional body gesture recognition, audiovisual emotion recognition, and enhancing human-robot interaction through emotion understanding.

Digital Forestry and Environmental Technology

In-depth knowledge of digital forestry, utilizing data analysis and technology to improve forest management and environmental monitoring.

Multimodal Emotion Recognition

Proficiency in developing systems for multimodal emotion recognition, including facial identification, vocal-based emotion recognition, and gesture-based emotion recognition.

Active Learning and Motion Planning

Research experience in active learning strategies and motion planning algorithms, contributing to advancements in robotics and automation.

Selected work