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Welcome to our department this coming spring semester – both new and current students. Welcome new students!What are you studying?The Fashion Market: Innovation and Fashion Forecasting (SESA01)The Fashion Market: Fashion Communication and Sustainability (SESA02)Master's programmeWelcome back! The semester starts 20th of January. Year 1: Methods in Social Science (SMMX21)Course introduction: 2024-0

https://www.ses.lu.se/en/education/start-spring-semester-2025 - 2026-05-01

The Pufendorf IAS gives researchers from different disciplines at Lund University an opportunity to work together. Advanced Study Groups (ASGs) meet on ad-hoc basis at the institute on research problems at a very early stage. How do we apply for an Advanced Study Group?Previous Advanced Study Groups Interconnections within STEAM Science and art might seem worlds apart, but what happens when they j

https://www.pi.lu.se/en/advanced-study-groups-2025 - 2026-05-01

Themes consist of researchers from different disciplines at Lund University. They work together one full day a week here at the institute. Each group decides on how to explore the common research problem. Members are expected to be active, open and curious... and prepared to challenge both their own ideas and perspectives as well as the common questions. How do we apply for a Theme?Previous Themes

https://www.pi.lu.se/en/themes-2025-2026 - 2026-05-01

April 29th, 10-11.  BMC:E11075 Snilleblixten. Nils Norlin, Lung biology. “Imaging-based spatial omics  in Lund”Register here: https://forms.gle/rTQo3dBg5KKQxeTo8 May 21st, 13.30-14.30 Katja Kozjek, NBIS . Segerfalkssalen, BMC. “Exploring microbial diversity in agriculture: A functional gene approach “Register here: https://forms.gle/eit5eD1YACSQQAy89 June 4th, 10-11. Alexandros Karagiannopoulos. N

https://www.lubi.lu.se/lubi-seminar-series-2025 - 2026-05-01

Permanent Magnet Synchronous Motors (PMSMs) are becoming increasingly popular in traction applications. PMSMs have gained popularity due to their efficiency, compactness and excellent features related to control. This is mainly because of the permanent magnet placement in the rotor, which negates any additional rotor excitation, hence reducing energy losses considerably. This makes them more effic

Reusing building products is a feasible strategy for the construction and real estate industry to mitigate its climate impact. Sustainable reuse must be executed with quality assurance and defined responsibilities to encourage clients and avoid suboptimal outcomes. Despite the growing need to quality-assure reused products, there is limited research, particularly from an industry perspective. Prev

For many years, car antennas of various applications are co-integrated into the roof-mounted “shark fin” module. More recently, both hidden antennas and full glass roofs are becoming trendy in the car industry. Taken together, they point to the integration of car antennas into glass roof being an attractive car antenna solution. However, such a solution is challenging to realize due to the roof gl

The introduction of electric heavy trucks will lead to new charging power requirements on the power grid. This study examines how much charging power is required for the public fast charging of a fully electrified long-haul truck fleet. Probabilistic truck charging profiles are created using agent-based simulations, based on fully representative long-haul goods transport data from the study area.

As a prominent category of side-channel attacks (SCAs), plaintext-checking (PC) oracle-based SCAs offer the advantages of generality and operational simplicity on a targeted device. At TCHES 2023, Rajendran et al. and Tanaka et al. independently proposed the multiple-valued (MV) PC oracle, significantly reducing the required number of queries (a.k.a., traces) in the PC oracle. However, in practice

We introduce Thalassa, a framework designed to convert nonlinear systems of partial differential equations (PDEs) with a time-like component into tensor programs that solve these equations. These programs can run on GPUs as well as machine learning (ML) acceleration hardware, enabling scientific computing fields such as computational fluid dynamics, astrophysics, mechanics and biology to utilize a

We propose a new class of high-rate spatially coupled LDPC (SC-LDPC) codes based on the convolutional selforthogonal codes (CSOCs) first introduced by Massey. The SCLDPC codes are constructed by treating the irregular graph corresponding to the parity-check matrix of a systematic rate R=(n-1) / n CSOC as a convolutional protograph. The protograph can then be lifted using permutation matrices to ge

Motivated by the well established idea that collective wisdom is greater than that of an individual, we propose a novel learning dynamics as a sort of companion to the Abelson model of opinion dynamics. Agents are assumed to make independent guesses about the true state of the world after which they engage in opinion exchange leading to consensus. We investigate the problem of finding the optimal

Digital control systems introduce unavoidable computational latencies. For some controllers this time delay inhibits practical use, even though they in theory could provide more efficient control. For example, solving an optimization problem each sampling period when using model predictive control. By sampling faster than the computation time and executing independent controllers on distributed ha

In this work, we study the problem of estimating the in-ear sound field using microphone measurements at nearby positions. Typically, the sound field is first interpolated to the position of the head under free-field assumptions, followed by filtering through pre-measured head-related transfer functions (HRTFs). While properties of free-field interpolation methods have been well studied with respe

Quadruped robots are currently a widespread platform for robotics research, thanks to powerful Reinforcement Learning controllers and the availability of cheap and robust commercial platforms. However, to broaden the adoption of the technology in the real world, we require robust navigation stacks relying only on low-cost sensors such as depth cameras. This paper presents a first step towards a ro

This study investigates the incentives and barriers influencing AI ethics adoption in unregulated environments, drawing on semi‐structured interviews with AI professionals in Bangladesh. Our findings reveal that external pressures, such as international client requirements, drive companies to implement ethical measures, yielding both economic benefits and enhanced reputation. Conversely, tight dea

Post-compression of (sub)-picosecond laser pulses down to sub-100 fs durations has become a standard approach for high-peak-power sources at a high average power [1]. Here, we propose a new post-compression geometry suited for extreme temporal compression of energetic narrowband lasers, such as diode or electrically pumped four-level systems which can deliver kW-average powers [2], but typically e

Intense ultrashort-pulsed laser systems based on Ti:sapphire chirped pulse amplifiers (CPA) operating at 800 nm have been a workhorse of ultrafast science for several decades. More recently, driven by the progress in laser technology, sources with central wavelengths further in the infrared have emerged as powerful tools, in particular to generate soft X-ray (SXR) radiation via high-harmonic gener

Sparse tensor computations suffer from irregular memory access patterns that degrade cache performance. While software prefetching can mitigate this, existing compiler approaches lack the semantic insight needed for effective optimization. We present ASaP, an automatic software prefetching framework integrated within MLIR’s sparse tensor dialect. By leveraging semantic information-tensor formats a