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https://www.pi.lu.se/sites/pi.lu.se/files/2024-12/Call%20for%202025_NordIAS%20visiting%20fellowship_0.pdf - 2026-11-01

https://www.norca.lu.se/mars/publications/book-chapters - 2026-10-31

Heusala, Anna-Liisa, Kaarina Aitamurto, and Sherzod Eraliev. (2024). ‘Introduction: The Mutual Impact of Global Migration and Illiberalism in Russia, Eurasia, and Eastern Europe’. In Global Migration and Illiberalism in Russia, Eurasia, and Eastern Europe, edited by Anna-Liisa Heusala, Kaarina Aitamurto, and Sherzod Eraliev, 1–34.  Helsinki: Helsinki University Press. https://doi.org/10.33134/HUP-

https://www.norca.lu.se/mocca/publications/book-chapters - 2026-10-31

We present a general technique for efficient computation of second order information for optimization functionals involving many variables of different nature, frequently appearing in modern applications. This technique relies on the bilinear Hessian, and while the main tools for this task have been published elsewhere, we here focus on the problem of how to organize the computations in the multi-

https://www.iko.lu.se/en/sites/iko.lu.se.en/files/2025-09/EUPRERA%20Conference%20Agenda.pdf - 2026-11-01

Doctoral student Contact details Email: yael [dot] bartana [dot] 7044 [at] khm [dot] lu [dot] se Organisation Malmö Art Academy Webpage Yael Bartanas profile in Lund University research portal Yael Bartana  is an Israeli artist, filmmaker and photographer, whose past works have encompassed multiple mediums, including photography, film, video, sound, and installation. Many of her pieces feature pol

https://www.khm.lu.se/en/yael-bartana - 2026-11-01

The purpose of this study was to investigate the supervision of non-smoking school yards in Sweden. Smoking costs Swedish society an estimated 30 billion SEK annually in cost for healthcare, production losses and sick leave. Smoking among adolescents has declined in recent years, but it is still 24 % in high school's grade 2, which categorized as smokers. The supervision of the schoolyard is t

Researcher Contact details Email: ming [dot] gao [at] hist [dot] lu [dot] se Organisation History Visiting address: Helgonavägen 3, Lund Service point: 30 Webpage Ming Gaos profile in Lund University research portal Other affiliations Profile area member LU Profile Area: Human rights Publications Displaying of publications. Sorted by year, then title. Filter by type All Article Book chapter Debate

https://www.humanrights.lu.se/ming-gao - 2026-11-01

https://www.sustainability.lu.se/about-sustainbility-forum/newsletter/older-newsletters - 2026-10-31

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

https://www.bme.lth.se/en/research/nanobiotechnology-and-lab-chip/wei-qiu-group/group-members - 2026-10-31

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

https://www.commons-center.lu.se/previous-common-challenges - 2026-10-31

https://www.graduateschool.sam.lu.se/sites/graduateschool.sam.lu.se/files/2025-11/Minutes%20GS%20Board%20250923.pdf - 2026-11-01

https://www.ai.lu.se/2025-11-19 - 2026-10-31

An international course for postgraduate students In the autumn of 2027, the international PhD course on the Ecology of Animal Migration will run again. Invited and Lund-based international authorities in the field give lectures that cover different aspects of animal migration. PhD students working on animal migration and related animal movement topics are encouraged to apply. Animals move across

https://www.biology.lu.se/phd-studies/phd-courses/ecology-animal-migration - 2026-10-31