Gabriela Grmanová

Gabriela Grmanová is a researcher focusing on artificial intelligence, machine learning, time series prediction, and optimization. Her work is centered on practical applications of AI in the energy domain, including energy production and consumption forecasting, microgrid optimization, anomaly detection, and data analysis of energy markets.

In 2006, she completed a six-month internship at the University of Natural Resources and Life Sciences in Vienna. She was a member of the Big Data Analysis group at the Slovak University of Technology in Bratislava and has participated in several national and international research and industry projects, including collaborations with sféra and Atos.

At KInIT, Gabriela is actively involved in research and innovation activities connecting artificial intelligence with industrial applications. She coordinates the V4Grid project at the KInIT site, supporting regional cooperation and innovation in smart energy systems and AI-driven solutions. She is also engaged in the Hopero initiative and leads KInIT’s strategic cooperation with ZSE, focusing on the application of AI and data analytics in the energy sector. In addition, she contributes to multiple industrial collaborations and interdisciplinary projects aimed at transferring advanced AI research into real-world practice.