New visualization tools to support domain scientists to understand, analyze, and illustrate trajectories of dynamical systems are available [1-3]. These often include chaotic behaviors and interesting patterns that might still be hard to notice due to the complexity of the dynamical systems. Imagine a world where we not only see but also hear the intricate dance of chaotic dynamical systems. In this realm, new visualization tools emerge to assist domain scientists in unraveling the mysteries of these complex trajectories, unveiling their hidden patterns.
Sonification [4-5] enhances data understanding by leveraging the auditory sense, making it valuable for those with visual impairments and offering a complementary perspective for everyone to detect patterns, anomalies, and trends in data that might be less apparent through traditional visual methods alone.
We are interested in developing novel sonification techniques for 4D dynamical systems. This project will explore the innovative use of sound to transform complex mathematical and physical systems into audible representations, shedding new light on chaotic phenomena through the power of audio.
 Amirkhanov, Aleksandr, Ilona Kosiuk, Peter Szmolyan, Artem Amirkhanov, Gabriel Mistelbauer, M. Eduard Gröller, and Renata G. Raidou. "ManyLands: A Journey Across 4D Phase Space of Trajectories." In Computer Graphics Forum, vol. 38, no. 7, pp. 191-202. 2019.
 Bartolovic Nemanja, Markus Gross, and Tobias Günther. "Phase Space Projection of Dynamical Systems." In Computer Graphics Forum, vol. 39, no. 3, pp. 253-264. 2020.
 Schindler, Marwin, Aleksandr Amirkhanov, and Renata Georgia Raidou. "Smoke Surfaces of 4D Biological Dynamical Systems." Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM2023). pp.93-97; 2023.
 K. Enge, A. Rind, M. Iber, R. Höldrich, and W. Aigner, “Towards a unified terminology for sonification and visualization,” Pers Ubiquit Comput, vol. 27, no. 5, pp. 1949–1963, Oct. 2023.
Interest and knowledge in visualization and visual analytics.
Good programming skills.
Creativity and enthusiasm.
Ideally: basic knowledge regarding sound/music.