PerInt: 6th Workshop on Pervasive Intelligence in Engineering

Abstract

Recent advancements in machine learning and artificial intelligence have introduced significant progress in many areas of interest to the engineering community. Data-driven or domainoriented engineering applications can benefit significantly from the latest developments in machine learning theories and methods, but may also promote the development of learning algorithms, optimization approaches, fusion techniques, novel hardware and network architectures. This progress, combined with an abundance of sensors and smart devices in today’s Internet of Things age, will enable pervasive intelligence, thus creating great possibilities in a vast array of application domains.

Goals

The workshop aims to bring together researchers, industry practitioners, and the community interested in intelligent pervasive technologies seen from an engineering point of view, thus providing them with a forum for presenting their latest research findings, ideas, developments and applications. Papers from research projects in the above areas are also welcome. This will be the sixth iteration of the PerInt workshop. Its five previous instances were successfully organized in conjunction with PETRA 2017, 2020, 2021, 2022 and 2023 conferences.

Topics of interest include, but are not limited to

• Machine learning (including deep learning) methods for engineering applications
• Reasoning systems and cognitive modeling for engineering problem solving
• Intelligent big data management and analysis for engineering
• Intelligent techniques for pervasive devices, wearable computers, RFIDs, sensor technology
• Intelligent transportation systems, smart urban spaces and smart homes
• Situation awareness and intelligent context-aware computing
• Pervasive intelligence in critical applications (evacuation, urban search and rescue)
• Pervasive intelligence in computer vision, robotics and automation
• Pervasive intelligence for critical infrastructure monitoring
• Pervasive intelligence and machine learning for climate change prediction and mitigation
• Intelligent monitoring and degradation assessment for cultural heritage sites
• Remote sensing, civil and geospatial engineering (hyperspectral imaging, mining, construction, seismic data processing, urban planning)
• Environmental engineering (land management, sea/water monitoring)
• Biomedical engineering (medical imaging, bio- and sensor informatics)

Workshop Organizers