ALIAS 2019 - International Workshop on ALgorithms for Indoor Architectures and Systems (ALIAS 2019)

Indoor Information Systems (IIS) have witnessed significant growth over the past decade, driven by the fact that 90% of our activities are carried out in indoor spaces. As a result, new research paradigms in constituent technologies have emerged, ranging from data-driven localization algorithms, to data privacy handling schemes, and indoor data management operators. Towards this direction, successful launching of popular applications relied on stored indoor spatial models fusing sensor information, exploiting sensor prevalence in smartphone devices and wireless connectivity pervasiveness, in light of the big data era and accompanying technologies. This workshop aims to discuss current trends and highlight future directions on both established and potentially transforming Algorithms for Indoor Architectures and Systems.
Discussion:
The workshop will be organized in a manner that fosters interaction and exchange of ideas among the participants. Besides regular papers, we will also consider vision, retrospective and work-in-progress papers that have the potential to stimulate debate on existing solutions or open challenges. We additionally plan to accept a limited number of demonstration papers where researchers and technologists will have the opportunity to describe an innovative system or tool in the area of data management for mobile and wireless access. We discourage the submission of incremental papers. This year's program is also expected to feature a keynote speech and a panel discussion on newly-emerging or controversial topics.
The topics of interest include, but are not limited to:
Positioning technologies using different technologies (e.g., UWB, IMU, Cellular, 5G femtocells, RFID, Magnetic, Vision, Hybrid)
2D and 3D operators for localization and analytics
Modeling and representation of indoor spaces
Indoor GIS integration efforts (IndoorOSM, IndoorGML)
Storage, processing and indexing operators for indoor data
Collaborative positioning and crowdsourcing
Indoor analytics and indoor decision support systems
Visual analytics of indoor data
Big-data processing of indoor data
Privacy issues with indoor technologies
Human mobility data acquisition, handling, and analysis in indoor spaces
Data quality and uncertainty issues study on indoor mobility data
Discovery of indoor mobility patterns
Theoretic and/or empirical indoor modelling issues
Semantic knowledge harvesting and ontologies for indoor data
Recommender Systems for indoor data (e.g., POIs, services)
Real-time analysis of data generated in indoor spaces (audio, video, text)
Social behaviour analysis on indoor mobility data
Deep learning on indoor data
Security and Privacy in indoor mobile systems
Robotics and Drones for logistics operations in indoor spaces
Indoor Case Studies (e.g., Healthcare, Airports, Campuses)
Interactive media technologies to indoor (Augmented/Virtual/Mixed Reality)
Indoor Technologies for inside the space of Smart and Self-driving Cars
Offline and Hybrid Online/Offline Navigation and Context Awareness
Mapmatching Algorithms and Systems
Out-of-the-box application domains for indoor (blockchain, AI, IoT)