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https://www.sam.lu.se/sites/sam.lu.se/files/2025-11/Lunds%20universitet_SamFak_yttrande_S2025-00629__jobbpremien%20ett%20incitament_V%202025-815.pdf - 2025-12-26

https://www.ehl.lu.se/sites/ehl.lu.se/files/2025-06/Tentaschema%20HT%202025%20%20september%20-%20januari%202026%20extern%20hemsida%202025-06-13.pdf - 2025-12-26

https://www.ehl.lu.se/sites/ehl.lu.se/files/2025-06/Tentaschema%20HT%202025%20%20september%20-%20januari%202026%20extern%20hemsida%202025-06-17.pdf - 2025-12-26

This study evaluates the design choices of a two-day, industry-collaborative case competition at Campus Helsingborg and their effect on student motivation and engagement. Using pre and post Self-Determination Theory surveys, observations, and interviews we observed very high intrinsic (4.82/5) and extrinsic motivation (4.33/5). The perceived value of competition elements increased consistently aft

Probed language-based assessments, where individuals describe their states using open-ended responses analyzed with Artificial Intelligence, have shown great promise for written language. But emotions are also conveyed through spoken language which might provide further assessment power to this method. Participants (N=645) were randomly assigned to watch a video clip of a church, shopping mall, or

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

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

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

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

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

A multi-variable adaptive controller is derived as the explicit solution to a minimax dynamic game. The minimizing player selects the control action as a function of past state measurements and inputs. The maximizing player selects disturbances and model parameters for the underlying linear time-invariant dynamics. This leads to a Bellman equation that can be solved explicitly for the case with un

Coherent extreme ultraviolet (XUV) radiation can be generated in a tabletop configuration via high-order harmonic generation (HHG) in gases. While HHG is inherently inefficient, increasing the conversion efficiency (CE) is crucial for many applications, such as coincidence spectroscopy [1] and coherent imaging [2], which require high XUV throughput. Previous calculations suggest that one way to im

Three different semiconductor nanowires are combined into a single optoelectronic artificial neuron. Our device provides a path towards low power computations with significantly reduced circuit footprint, thus addressing critical limitations in neuromorphic photonics. The false-coloured scanning electron micrograph shown in Figure 1a depicts the fabricated nanowire neuron. Two pin-doped InP nanowi

Photonics-based approaches to neuromorphic hardware offer advantages in speed and connectivity but often suffer from large device footprints.[1] Here, we present an ultra-compact artificial neuron built from semiconductor nanowires. A scanning electron micrograph of the nanowire device is presented in Figure 1a. Inside the dashed box, we show the neuron built from three III-V nanowires - two InP p