Koncsos Tamás

Koncsos Tamás serves as an Assistant Professor at the Department of Sanitary and Environmental Engineering within the Faculty of Civil Engineering at Budapest University of Technology and Economics. His academic work centers on computational methods for environmental engineering challenges, particularly in water and wastewater systems.

His research expertise spans:

• Activated sludge modeling (ASM) and wastewater treatment optimization
• Development of decision support systems using soft computing techniques
• Neuroevolutionary algorithms, neural networks, and self-organizing maps
• Markov decision processes for complex engineering problems
• Integration of computational intelligence in civil infrastructure

Analysis of his publications from 2010-2025 reveals a consistent focus on applying neural networks and optimization techniques to water management challenges. His work demonstrates progression from fundamental computational methods (2010-2012) toward integrated decision support systems like WateRisk and practical applications in wastewater plant design (2021-2025). Key thematic threads include quadratic approximation methods for bioprocess modeling, risk-based scenario analysis for water resources, and the adaptation of machine learning techniques for environmental engineering constraints.