Grega Močnik, PhD

About

Grega Močnik is a researcher at the Faculty of Electrical Engineering and Computer Science (FERI), University of Maribor, where he works within the Digital Signal Processing Laboratory (DSPLAB) and the Institute of Electronics and Telecommunications. He holds a PhD (2023) and a Master's degree in Electrical Engineering, Electronics (2017), both from the University of Maribor.

His research spans video and image signal processing, computer vision, machine learning and artificial intelligence, and the implementation of communication protocols for embedded and IoT systems. In recent years his work has focused on gesture capture and synthesis for embodied conversational agents, and on applying AI and multimodal signal analysis to healthcare and mental-health research, including as part of the Horizon Europe project MENHIR — Supporting Mental Health in Young People (2023–2026).

Research Interests

• Signal & Video Processing
• Computer Vision
• Machine Learning & AI
• Embodied Conversational Agents
• Internet of Things
• Embedded Systems & Communication Protocols
• AI in Mental Health

Education

• 2023 PhD in Electrical Engineering — University of Maribor, Faculty of Electrical Engineering and Computer Science
• 2017 MSc in Electrical Engineering (Electronics) — University of Maribor, Faculty of Electrical Engineering and Computer Science

Selected Publications

• Crnek, K., Močnik, G., Rojc, M. (2026). Advancing Objective Evaluation of Speech-Driven Gesture Generation for Embodied Conversational Agents. International Journal of Human–Computer Interaction, 42(5), 3346–3362.
• Arioz, U., Allsop, M. J., Goodman, W. D., Timmons, S., Simbirtseva, K., Mlakar, I., et al. (2025). Artificial intelligence-based approaches for advance care planning: a scoping review. BMC Palliative Care, 24(1), 268.
• Močnik, G., Rehberger, A., Smogavc, Ž., Mlakar, I., Smrke, U., Močnik, S. (2025). Multimodal observable cues in mood, anxiety, and borderline personality disorders: a review of reviews to inform explainable AI in mental health. Frontiers in Artificial Intelligence, 8, 1696448.
• Majcen Rošker, Z., Močnik, G., Kristjansson, E., Vodičar, M., Rošker, J. (2023). Pupillometric parameters of alertness during unpredictable but not predictable smooth pursuit neck torsion test are altered in patients with neck pain disorders. Experimental Brain Research, 241(8), 2069–2079.
• Močnik, S., Smrke, U., Mlakar, I., Močnik, G., Gregorič Kumperščak, H., Plohl, N. (2024). Beyond clinical observations: a scoping review of AI-detectable observable cues in borderline personality disorder. Frontiers in Psychiatry, 15, 1345916.
• Močnik, G., Kačič, Z., Šafarič, R., Mlakar, I. (2022). Capturing conversational gestures for embodied conversational agents using an optimized Kanade–Lucas–Tomasi tracker and Denavit–Hartenberg-based kinematic model. Sensors, 22(21), 8318.

For a complete list of publications, see his Google Scholar profile.

Contact

Faculty of Electrical Engineering and Computer Science, University of Maribor
Koroška cesta 46, 2000 Maribor, Slovenia
Email: grega.mocnik@um.si