Call for Papers Advances in Artificial Intelligence for Engineering Systems and Applications Enfoque UTE invites researchers, academics, and industry professionals to submit original contributions to this Special Issue focused on cutting-edge developments in Artificial Intelligence applied to engineering systems and real-world applications. This Special Issue aims to bring together interdisciplinary research that integrates intelligent algorithms, […]

The school of engineering CentraleSupélec-Paris (https://www.centralesupelec.fr/) is hiring an assistant/associate Professor (Maître de Conférences) in Computer Science. The job description and the link to apply are available here : https://www.centralesupelec.fr/sites/default/files/centralesupelec/pdf/offres_emploi/EC14_2607_MCF_CDI_Informatique_FR_EN.pdf Application deadline: April 10, 2026 Expected starting date: September 1, 2026  Location: CentraleSupélec, Campus Paris-Saclay, France Thank you for sharing the announcement with potentially interested contacts. […]

*** Third Call for Papers (Research Track) *** 37th IEEE International Symposium on Software Reliability Engineering (ISSRE 2026) October 20-23, 2026, 5* St. Raphael Resort and Marina Limassol, Cyprus https://cyprusconferences.org/issre2026/ The International Symposium on Software Reliability Engineering (ISSRE) is the leading conference on software reliability research and practice. ISSRE focuses on techniques and tools for […]

Dear Colleagues, We are pleased to invite you to submit your latest research to the 9th IEEE International Conference on Multimedia Information Processing and Retrieval (IEEE MIPR 2026), which will be held in Bangkok, Thailand, from 9–11 August 2026. With vast amounts of multimedia data now widely accessible, understanding spatial and temporal phenomena has become […]

Call for Papers: IEEE Journal of Selected Topics in Signal Processing (JSTSP) Special Issue on “Autonomous and Evolutive Optimization in Networked AI” We invite submissions on online, self-evolving, and distributed optimization methods for networked AI systems, spanning adaptive signal processing, deep learning, reinforcement learning, multimodal learning, cognitive communications, end-cloud collaborative LLMs, multi-agent intelligence, model-drift compensation, […]