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methods for creating 3D models from sensor data, which are used in many applications, for example 3D maps for human navigation, mapping and localization for autonomous cars and other vehicles. We develop
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Doctoral student in Applied Mathematics with a focus on Computer Vision and Spatial AI (PA2026/1165)
methods for creating 3D models from sensor data, which are used in many applications, for example 3D maps for human navigation, mapping and localization for autonomous cars and other vehicles. We develop
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both theory and concrete tools to design systems that learn, reason, and act in the real world based on a seamless combination of data, mathematical models, and algorithms. Our research integrates
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and tomographic radar capabilities. Our team is responsible for the algorithms which derive the biomass data product. The post-doc project is about extending the biomass algorithm to also include data
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algorithms. Our research integrates expertise from control theory, machine learning, optimization, and network science, spanning diverse application domains such as energy systems, biomedical systems
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precision medicine based on gene sequencing time series data. Large data sets come with significant computational challenges. Tremendous algorithmic progress has been made in machine learning and related
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algorithms plan and carry out data collection at research facilities analyse and interpret sensor, 3D imaging, and health‑assessment data collaborate with academic and industrial partners publish research
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networks, and quantum sensors and measurements. At Lund University, quantum technology research is conducted within all three pillars, but the main part of the research is in quantum sensors and measurements
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Doctoral student in development of nanowire devices for photonic neuromorphic computing (PA2026/472)
dynamic photonic sensor array with on-chip neuromorphic intelligence. This is enabled by significantly advancing the state of the art in optoelectronic algorithm-hardware co-design and multi-scale
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quantum sensors and measurements. At Lund University, quantum technology research is conducted within all three pillars, but the main part of the research is in quantum sensors and measurements. Activities