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The Hamrin Visiting Researcher Program, generously supported by the Hamrin Foundation, enables the ABC Centre to host short-term visits from excellent scholars whose research is of particular relevance to aesthetics and business creativity. Contact ABC Daniel HjorthUlf G. Lindén Professor in Aesthetics and Business CreativityCentre DirectorAlexandra Huang-KokinaPost Doc ResearcherRobin PorsfeltPos
Postdoctoral fellow Contact details Email: gyula [dot] hoffka [at] chem [dot] lu [dot] seOrganisation Computational Chemistry Service point: 1 WebpageGyula Hoffkas profile in Lund University research portal Publications Displaying of publications. Sorted by year, then title. Filter by type AllArticleReview article Filter Phosphorylation of ITIM motifs drives the structural transition of indoleamin
https://www.compchem.lu.se/gyula-hoffka - 2026-09-20
- a source of knowledge, experiences and opportunities for future research cooperation Are you curious about which Advanced Study Groups that have been working at Pufendorf IAS throughout the years? Do you perhaps have a research idea which would benefit from perspectives from one or a couple of alumni? By clicking the links below, you can read more about each ASG, and which members they had, in t
https://www.pi.lu.se/en/about-pufendorf-ias-0/research-groups-throughout-years/advanced-study-groups-throughout-years - 2026-05-25
https://www.geriatrik.lu.se/om-fallmottagningen - 2026-09-19
Doctoral student Contact details Email: lisa [dot] noren [at] soch [dot] lu [dot] se Phone: +46 46 222 33 37Organisation School of Social Work Room number: 144 Service point: 31 WebpageLisa Noréns profile in Lund University research portalOther affiliations Doctoral student Professions and Organisation Publications Displaying of publications. Sorted by year, then title. Filter by type AllArticleBo
https://www.soch.lu.se/en/lisa-noren - 2026-09-20
In the software industry, the drive to add new features often overshadows the need to improve existing code. Large Language Models (LLMs) offer a new approach to improving codebases at an unprecedented scale through AI-assisted refactoring. However, LLMs come with inherent risks such as braking changes and the introduction of security vulnerabilities. We advocate for encapsulating the interaction
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
Samhällsvetenskapliga fakulteten vid Lunds universitet är en av landets ledande enheter för forskning och utbildning inom samhälls- och beteendevetenskap. Med verksamhet i både Lund, Helsingborg och Malmö, nästan 800 anställda och cirka 6 000 helårsstudenter är fakulteten en av Lunds universitets största. Att förstå, förklara och förbättra vår värld och människors villkorDe flesta av vår tids utma
https://www.sam.lu.se/om-fakulteten/fakulteten-i-korthet - 2026-09-19
https://www.staff.lu.se/category/lum - 2026-09-19
https://www.innovation.lu.se/styrdokument - 2026-09-19
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.
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
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
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
