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Lena Klasén
Lena Klasén
Department of National Operations, Swedish Police Authority, Stockholm, Sweden and Information Coding, Department of Electrical Engineering, Linköping University, Sweden
Department of National Operations, Swedish Police Authority, Stockholm, Sweden and Information Coding, Department of Electrical Engineering, Linköping University, Sweden
Prof. Lena Klasén is since June 2018 Director Research at the Department of National Operations and Ajd. Professor Digital Forensics, Computer Vision Laboratory Linköping University Sweden. January 2015 to May 2018 she was appointed Director of the Swedish National Forensic Centre and part of the National Police Commissioner strategical and operational management teams. Dr. Klasén has a PhD in Image Coding at University of Linköping, Sweden and has led industrial- and research organizations in Swedish authorities such as Saab AB, Swedish Defence research Agency, Swedish Defence Material Administration, Swedish National Laboratory of Forensic Science and the Implementing Committee of the New Police organization, Swedish Ministry of Justice. Her industrial experience also includes product portfolio management at Saab and being involved in starting up innovative companies. Lena has and have held several commissions of trust, e g board member and forensic expert.
From Research to Reality: AI Tools for Forensic Investigations
From Research to Reality: AI Tools for Forensic Investigations
Artificial Intelligence (AI) is increasingly integrated into forensic science to document, analyze, and visualize large volumes of complex and heterogeneous data.
This presentation highlights the fusion of cutting-edge research with practical applications of AI in forensic contexts, with a particular focus on human-centered visual intelligence. A central component is the use of digital twins, which enable investigators to reconstruct and understand complex events by integrating data from multiple sources. Interaction with the digital twin is designed to make investigations more efficient by facilitating the integration and interpretation of diverse and fragmented data.
Examples will illustrate how advanced research can be translated into operational tools and services through the development of multimodal AI systems—interactive digital twins—designed to support law enforcement in analyzing complex outdoor crime scenes. These systems combine multimodal and generative AI to map and reconstruct events, offering detailed scene analysis and object recognition.
The overarching goal is to implement robust, field-ready tools and methods tailored to the needs of law enforcement agencies. Applications include time sequencing and event reconstruction in criminal investigations, identification of suspects and victims—often through biometric technologies—and support for war crime investigations and the search for missing persons.
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