Topics of interest include, but are not limited to:
Track 1: Data analysis and data management for embedded and ubiquitous computing
•Data management tools
•In-network query and processing
•Data mining and knowledge discovery
•High-performance data analytics tools and systems
•Integration of big data analytics in accurate decision-making and control application case studies
Track 2: Applications for embedded and ubiquitous computing
•Real-time and critical applications for embedded systems
•Information systems and data management for embedded systems
•Multimedia and consumer electronics applications
•Transportation application: automotive, avionics, etc
•Novel applications for reconfigurable computing
•Cloud computing for mobile systems
•Intelligent sensors
•Pervasive systems
Track 3: Parallel and distributed systems
•Distributed computing on embedded devices
•Programming paradigms
•Languages and compilers
•Middleware and virtual machines
•Privacy in mobile and wireless communications
•Privacy in e-commerce and e-government
•Agents and distributed computing
•Middleware and peer-to-peer computing
•Offloading computations
Track 4: Enhanced living environments and smart habitats for older adults
•Design and development of smart support furniture and habitats, including multi-disciplinary work spreading domains such as health care, psychology, ergonomics, construction, etc
•Design and development of innovative ICT solutions integrated into smart support furniture and habitat environments
•Smart support furniture and habitat environments for active aging
•Sensing and monitoring, including identification and sensing technologies, risks detection, activity recognition, tele-mobile monitoring, diet and exercise monitoring, drugs monitoring, vital signs supervision, identification of daily activities
•ICT instrumentation and middleware support for smart environments: mobile Ad hoc networks and wireless sensor networks, RFID and 2-D codes for real-world labelling, smart sensors, wearable computing, custom made internet-connected objects, semantic middleware infrastructures
•Architectures and Platforms: smart homes and supervised homes, hospital communication management for ambient assisted living, living labs
Track 5: Mobile systems and applications for embedded and ubiquitous computing
•Mobile and ubiquitous computing architecture
•Tools for building and measuring mobile systems
•Innovative embedded, wearable or mobile devices
•Systems for location and context sensing and awareness
•Tools for building and measuring mobile and pervasive systems
•Wireless sensor network protocols
Track 6: Security, safety and reliability/dependability
•Cryptography, authentication, and privacy protection algorithms, protocols, architectures, and frameworks
•Malicious attack detection, analysis, and prevention
•Fault prevention, removal, forecasting, and tolerance of embedded and ubiquitous computing systems
•Verification, testing, and diagnosis tools and frameworks
•Security, privacy, safety, and dependability for IoT, CPS, mobile computing, wireless sensor networks, etc
•Physical-layer security threats and countermeasures in embedded systems
Track 7: Hardware architectures and design tools
•Reconfigurable architectures (e.g., FPGAs, CGRAs)
•System-level, high-level, and RTL/Logic synthesis
•Efficient hardware implementation for ubiquitous algorithms/computing
•Application-specific processors and platforms for ubiquitous computing
•Prototyping and simulation of ubiquitous and embedded applications
•System/Network-on-Chip
•Simulation and validation of mixed hardware/software systems
Track 8: Software and programming tools for embedded and ubiquitous computing
•Prototyping and simulation of ubiquitous and embedded applications
•Programming paradigms, languages, aspects of modeling and specification
•Software and system architectures, including compilers, memory management, virtual machines, scheduling, operating systems, middleware, and code generation, etc
•Modeling, analysis, and optimization of performance aspects such as timing, memory usage, energy, QoS, and reliability
•Formal methods and verification, model driven design and implementation
•Human-computer interaction and human-in-loop systems
•Power-aware and green embedded and ubiquitous computing
•Embedded and ubiquitous computing applications, cyber-physical systems, such as electric vehicle, power grid, sensing and monitoring
|