Anna Mujal Colilles

Anna Mujal Colilles is an Associate Professor at the Universitat Politècnica de Catalunya (UPC), specifically affiliated with the Faculty of Nautical Engineering of Barcelona (FNB) within the Department of Nautical Science and Engineering. She holds a PhD in Civil Engineering and serves as a researcher at the CREMIT - Centre de Recerca de Motors i Instal·lacions Tèrmiques. Her academic career spans multiple research domains with 97 documented research activities as of the latest data.

Her primary research interests include Maritime Engineering, Fluid Mechanics, and Geospatial Analysis of Ship Data using Automatic Identification System (AIS) and Vessel Monitoring System (VMS) technologies. Her work bridges theoretical fluid dynamics with practical maritime applications, particularly focusing on vessel traffic patterns, port operations, and environmental impacts of maritime activities. Recent publications demonstrate her growing interest in maritime education challenges, particularly absenteeism patterns in nautical studies.

Dr. Mujal Colilles' research output shows consistent productivity across multiple disciplines, with recent publications spanning from vessel motion monitoring to offshore wind energy impacts and fisheries management. Her work aligns with several Sustainable Development Goals, particularly Affordable and Clean Energy (SDG 7) and Life Below Water (SDG 14), reflecting her commitment to environmentally sustainable maritime practices.

She maintains active collaborations with numerous researchers across UPC, particularly with Marcel·la Castells-Sanabra, Xavier Gironella, and Mark James. Her research projects often involve interdisciplinary teams addressing complex maritime challenges from multiple perspectives including engineering, environmental science, and social sciences.

Her methodological approach emphasizes empirical data collection combined with advanced analytical techniques, particularly in geospatial data processing and fluid dynamics modeling. Recent work demonstrates increasing sophistication in handling large-scale maritime datasets and developing standardized workflows for vessel tracking analysis.