Amar Aganovic

Amar Aganovic serves as an Associate Professor in the Department of Automation and Process Technology at UiT The Arctic University of Norway. His academic work bridges engineering principles with practical applications in building systems, particularly focusing on ventilation design and indoor environmental quality. Based in Tromsø, Norway, he maintains an active research profile with numerous publications spanning from 2017 to 2025.

Dr. Aganovic's research interests center on indoor air quality, ventilation systems, and airborne infection control, with particular emphasis on hospital environments. His work combines computational fluid dynamics, building engineering, and epidemiological modeling to develop evidence-based solutions for reducing infection transmission through air. He has made significant contributions to understanding how ventilation design affects airborne pathogen transmission, especially during the COVID-19 pandemic. His research spans multiple disciplines including building physics, fluid dynamics, and public health.

Analysis of his recent publications reveals a strong focus on developing and validating mathematical models for airborne infection risk assessment. His work demonstrates how ventilation parameters, room configuration, and environmental factors influence pathogen distribution and infection risk. He has published extensively on protected zone ventilation systems, computational modeling of airflow patterns, and optimization of energy-efficient building retrofits.

Dr. Aganovic is an active member of the IR, Spectroscopy, and Numerical Modelling Research Group at UiT. His collaborative approach is evident through his frequent co-authorship with researchers including Guangyu Cao, Jarek Kurnitski, and Pawel Wargocki. While specific grant information isn't detailed in the provided materials, his extensive publication record suggests successful research funding across multiple projects related to indoor environmental quality and infection control.

His laboratory work appears to focus on experimental validation of computational models, with numerous studies involving measurements in operating rooms, patient wards, and simulated environments. The research group maintains strong connections with healthcare facilities, particularly St. Olavs Hospital, where several experimental studies have been conducted to assess real-world ventilation performance.