The 16th Advanced Doctoral Conference on Computing, Electrical & Industrial Systems (DoCEIS 2025) was a great success! This year’s event, which ran from 2-4 July in Caparica, Portugal, centred on “Technological Innovation for AI-Powered Cyber-Physical Systems”.
The conference explored how PhD research contributes to, and is shaped by, the convergence of Artificial Intelligence (AI) and Cyber-Physical Systems (CPS). Integrating AI into CPS significantly enhances their functionality, enabling real-time adaptability, autonomous decision-making, and intelligent responses to complex environments. These AI-driven CPS are transforming industries and redefining the interface between technology and the physical world to address critical global challenges.
A distinctive feature of DoCEIS is its emphasis on fostering multidisciplinary dialogue and collaboration among early-career researchers. Participants were encouraged to look beyond their core research areas and consider how their work might contribute to, or benefit from, interdisciplinary synergies. The overarching message was clear: while a multidisciplinary approach brings challenges, addressing today’s societal issues requires authentic, cross-disciplinary collaboration.
Sponsored by IFIP WG 5.5, IEEE Industrial Electronics Society and SOCOLNET, the event attracted over 80 participants. Proceedings are published by Spinger in the Advances in Information and Communications Technology series.
Held in conjunction with DoCEIS, the Young Engineers Forum on Electrical and Computer Engineering (YEF-ECE 2025) took place as a one-day event. Now in its 9th edition, the forum focused on early-career engineers and MSc thesis work. Its proceedings, published by IEEE Xplore, received a record number of submissions.
Across both events, a total of 71 papers were discussed – 29 from DoCEIS and 42 from YEF-ECE – submitted by authors representing 21 countries. The conference featured impactful keynotes on aerial robotics, human-robot teaming, and real-time machine learning. Complementary sessions on future engineering skills and scaling AI innovations from lab to field further enriched the program.
For more information, visit https://doceis.dee.fct.unl.pt/
Conference chair: Prof. Luis M. Camarinha-Matos, NOVA University Lisbon, Center of Technology and Systems (CTS), Portugal.