An interdisciplinary research project at Technische Universität Darmstadt on sustainable outdoor lighting

How does the color temperature of modern LED street lighting influence its attractiveness to insects? This question is at the heart of a one-year field study conducted by Technische Universität Darmstadt. Funded with €170,000 by the Deutsche Bundesstiftung Umwelt (DBU), the project will investigate the effects of different light spectra on local insect fauna in Darmstadt and Frankfurt am Main from April to September 2026.

New funding enables expanded research on 3D models, thermal effects, and data-driven optimization for the development of innovative electric machines.

With the approval of the second funding phase for the Collaborative Research Center (SFB) Transregio TRR361/F90 CREATOR, TU Darmstadt, TU Graz, JKU Linz, and the Austrian Academy of Sciences secure over 20 million euros in funding. In the next phase, the focus will be on thermal and multiphysical effects, as well as data-driven methods for modeling and optimizing the next generation of electric machines.

Interview with Unite! visiting professor Zhengmao Li

As a Unite! university, TU Darmstadt continues in 2025 to pursue the goals of the Unite! Visiting Professorship Programme: attracting outstanding international talent to strengthen interdisciplinary teaching and promote didactic innovation through global experience. With Dr. Zhengmao Li from Aalto University in Finland, the Department of Electrical Engineering and Information Technology welcomes a visiting professor whose expertise in hydrogen technologies and multi-energy systems brings valuable impulses to sustainable energy research.

Vietnamese Researchers Visit the ALSVV Department

How does light influence plant growth? This question is at the center of an international collaboration at the ALSVV research group in the Department of Electrical Engineering and Information Technology at TU Darmstadt. Together with researchers from Vietnam, the team led by Professor Tran Quoc Khanh is investigating innovative LED technologies aimed at enabling sustainable plant production.

Interview with Professor Tran Quoc Khanh on the Upcoming International Symposium on Automotive Lighting

Early next week, the 16th International Symposium on Automotive Lighting (ISAL) will kick off in Darmstadt, featuring 48 exhibitors and around 700 experts from research, industry, and regulatory bodies. They will come together for an intensive exchange on the latest findings in research and development.

Since July 1, Yvonne Späck-Leigsnering has been a cooperation professor for “Computational Electromagnetic Compatibility” at the Department of Electrical and Information Engineering. The scientist, who earned her doctorate from TU Darmstadt in 2019, has been leading the independent junior research group “Quasistatics in Computational Engineering (QuinCE)” at the TU's “Electromagnetic Field Theory (EMFT)” department since 2022. Additionally, she has been heading the simulation team in the ME/EMC division of Robert Bosch GmbH since 2023.

Universities co-operate within the framework of the IJRL Solid State Lighting Technology

As part of the International Joint Research Lab (IJRL) ‘Solid State Lighting Technology – Components to Systems’, leading European universities are working closely together to improve the reliability and service life of semiconductor-based lighting and irradiation systems.

etit experts on power outages

A power blackout hit the Iberian Peninsula on Monday afternoon. Public life in Spain and Portugal largely came to a standstill. The power supply is currently being restored and the cause is being investigated.

TU Darmstadt and MIT develop methods for monitoring with machine learning

The safe use of lithium-ion batteries, such as those used in electric vehicles and stationary energy storage systems, critically depends on condition monitoring and early fault detection. Failures in individual battery cells can lead to serious issues, including fires. To mitigate these risks, researchers at TU Darmstadt and the Massachusetts Institute of Technology (MIT) have developed novel methods for battery analysis and monitoring that leverage physically constrained machine learning approaches.