
About
Mladen Nikolić is an Associate Professor at the Faculty of Mathematics, University of Belgrade, specializing in machine learning and automated reasoning. He actively contributes to the Machine Learning and Applications Group (MLA@MATF) and the Automated Reasoning GrOup (ARGO).
His research spans earthquake damage assessment, deep learning object tracking, LLM integration with tabular data, and astronomical data analysis. Recent work focuses on the RELAR Project for rapid earthquake loss assessment, CNN architectures for structural damage classification, and novel approaches to incorporating large language model priors into machine learning systems. His publications demonstrate strong interdisciplinary applications connecting computer science with seismology, transportation engineering, and astrophysics.
- Developed frameworks for earthquake loss assessment and recovery
- Advanced deep learning filters for non-linear motion tracking
- Integrated LLMs with tabular data processing systems
- Contributed to LSST astronomical data challenges
Nikolić maintains active research collaborations through MLA@MATF and ARGO groups, with publications spanning machine learning theory, automated reasoning systems, and practical applications across multiple scientific domains. His work shows increasing focus on real-world deployment of AI systems for disaster response and scientific data analysis.
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