Gabor Szirtes

Provided end-to-end machine learning and data science services, including consultancy, training, and implementation of generative AI applications.

Led research on autonomous mobile sensory systems for debris detection and designed a large-scale ragweed monitoring system.

Developed Generative AI-based tools to evaluate and improve soft skills in various scenarios, handling text, audio, and visual content.

Directed R&D on computer vision projects, focusing on object tracking, 3D scene understanding, and semantic segmentation.

Created project proposals and implemented algorithmic solutions in computer vision, NLP, and recommendation systems.

Analyzed multivariate time series data from behavioral and electrode measurements.

Delivered courses on machine learning, covering theoretical foundations and applications in various domains.

Led R&D on automated facial expression analysis and predictive analytics for advertisement success.

Conducted research on automated facial expression analysis using computer vision and machine learning techniques.

Researched biologically motivated signal representations.

Conducted research on biologically motivated signal representations.

Analyzed gaze tracking measurements and designed experiments with head-mounted displays.

Modeled and simulated the early development of the mammalian visual pathway.

Completed a Ph.D. in Computer Science, focusing on advanced topics in machine learning and data analysis.

Earned a BSc and MSc in Chemistry with a minor in Physics, gaining foundational knowledge in scientific principles and methodologies.