It is a pleasure to be a part of the institute because it is a great place to grow and develop, to acquire skills to independently conduct research at a high scientific level. I am currently studying mathematics in the doctoral study program of computer science and mathematics at the University of Latvia. Therefore, I can unequivocally state that the acquired skills in EDI only promote existing abilities in research and study.
Related publications:
Recent projects
- Efficient module for automatic detection of people and vehicles using video surveillance cameras (VAPI) #ERDF
- AI-improved organ on chip cultivation for personalised medicine (AImOOC) #ERDF
Recent publications
- Laura Leja, Vitālijs Purlans, Rihards Novickis, Andrejs Cvetkovs, Kaspars Ozols. Mathematical Model and Synthetic Data Generation for Infra-Red Sensors
- Ivars Namatēvs, Roberts Kadiķis, Anatolijs Zencovs, Laura Leja, Artis Dobrājs. Dataset of Annotated Virtual Detection Line for Road Traffic Monitoring
- Kārlis Freivalds, Laura Leja, Oskars Teikmanis, "Learning to Move Objects with Fluid Streams in a Differentiable Simulation", ROBOT 2024 7th Iberian Robotics Conference, IEEE,
- Laura Leja, Oskars Teikmanis, Kārlis Freivalds, 2024. "Shaping Flames with Differentiable Physics Simulations" "Machine Learning and the Physical Sciences" , NeurIPS 2024
- Kārlis Freivalds, Oskars Teikmanis, Laura Leja, Rodions Saltanovs, Ralfs Āboliņš, "Learning Fluid-Directed Rigid Body Control", "Machine Learning and the Physical Sciences" at NeurIPS 2024
- Valērija Movčana, Arnis Strods, Karīna Narbute, Fēlikss Rūmnieks, Roberts Rimša, Gatis Mozoļevskis, Maksims Ivanovs, Roberts Kadiķis, Kārlis Gustavs Zviedris, Laura Leja, Anastasija Zujeva, Tamāra Laimiņa, Arturs Abols. "Organ-On-A-Chip (OOC) Image Dataset for Machine Learning and Tissue Model Evaluation" Data , 9(2), pp.28. https://doi.org/10.5281/zenodo.10203721