About CPSIoT
Contemporary Cyber-Physical Systems (CPS) are smart compound systems engineered through seamless integration of embedded information processing sub-systems and physical sub-systems. The modern smart collaborating CPS, that started to form the Cyber-Physical Systems of Systems (CPSoS) and Internet of Things (IoT), have important applications in virtually all economic and social segments, and their huge economic and societal impact rapidly increases. The CPS and IoT area undergoes a revolutionary development.

CPS&IoT’2023 Conference addresses all aspects of CPS and IoT, as well as related applications, specification, analysis, validation, architectures, technology, hardware, software, design and development methodology, and design automation tools. It includes a strong keynote programme by outstanding professionals from industry and academia. It gives an excellent opportunity to disseminate, publish and discuss fresh research results from international, European, and other R&D projects. It is indexed in all the main Databases or Digital Libraries as IEEE xPlore, SCOPUS, WoS, etc. Selected conference papers will be invited for publication as extended journal papers in the journal Microprocessors and Microsystems, operated by our strategic partners EUROMICRO and Elsevier. CPS&IoT’2023 Conference together with CPS&IoT’2023 Summer School constitute a premier Europe based conference event in CPS and IoT.

Its target participants are industrial and academic researchers, developers, engineers and decision-makers; academic teachers, Ph.D. and M.Sc. students; entrepreneurs, investors, research funding agents, and policy makers; and other participants who want to discuss or learn the CPS and IoT engineering.
CPS&IoT’2023 Conference builds on the success the series of nine EUROMICRO/IEEE Workshops on Embedded and Cyber-Physical Systems (ECYPS) and ten Mediterranean Conferences on Embedded Computing (MECO), as well as, very successful annual CPS&IoT’ Summer School. It will be collocated with CPS&IoT’2023 Summer School and MECO’2023 Conference.

Topics of CPS&IoT’2023. You are encouraged to submit papers on all aspects of CPS and IoT, as well as related applications, architectures, enabling technologies, hardware, software, specification, analysis, validation, design and development methodologies, and design automation tools, that address, but are not limited to, the following topic areas:

Technical topics
Green CPS and IoT
Secure, safe and dependable CPS and IoT
Self-aware, learning and adapting autonomous CPS and IoT
Effective and efficient CPS and IoT, and savings due to use of CPS and IoT


Enabling technologies for CPS and IoT

Energy-efficient high-performance computing platforms (advanced multi-/many-core processors, MPSoCs, SiPs, 3D-SOCs/ SiPs/PoPs, FPGAs) for CPS and IoT
Neuromorphic, in-memory, near-memory, and approximate computing for CPS and IoT
Development methodology, development platforms and automated tools for CPS, IoT, and for high-performance energy-efficient safe, secure and reliable embedded systems, hardware and software
(Smart) sensors, actuators and MEMS for CPS and IoT
Energy harvesting for CPS and IoT
(Big) data acquisition, storage, fusion, analysis, processing and management for CPS & IoT
(Mobile) vision, signal processing, (deep) learning and other AI for CPS and IoT
Safety, security, privacy, reliability and certification of complex heterogeneous networked systems
Multi-domain modelling, analysis, synthesis, simulation, integration, testing and validation of complex heterogeneous networked systems
Multi-objective and multi-domain co-design, trade-off exploitation and optimization of complex heterogeneous networked systems accounting for energy, performance, safety, security, reliability, etc.


Mobile, autonomous, wearable and implantable systems

Computing platforms, development platforms and automated design tools for high-performance energy-efficient mobile, autonomous, wearable and implantable systems
Development, run-time management and control of self-aware, self-managing, learning and adapting mobile, wearable and autonomous systems
AI-enabled mobile, wearable and autonomous systems
Energy-efficient sub-system arrangement, storage, communication and processing for big data from multiple complex sensors and other systems
Application/software modelling, analysis, parallelization and mapping for high-performance and low-energy embedded computing on massively-parallel (heterogeneous) computing platforms
Distribution of resources and computations in cloud, fog and edge computing for mobile, wearable and autonomous systems
Communication and collaboration of mobile, autonomous and wearable systems


Cloud, fog, dew and edge computing in CPS and IoT

Distribution of information and computations for CPS in cloud, fog, dew and edge computing accounting for real-time availability of information, guaranteed real-time reaction, security, safety, reliability, minimization of communication traffic, energy consumption, etc.
Edge computing in IoT for complex and demanding CPS applications
Advanced (heterogeneous) massively-parallel processor and MPSoC architectures for high-performance and energy-efficient edge computing
Real-time guarantees, security, safety and reliability of edge computing implemented with (heterogeneous) massively-parallel processor and
MPSoC architectures
Multi-objective management of parallel applications in embedded multi- and many-core systems, FPGA-based systems and heterogeneous
MPSoCs of edge computing
Coordinated edge, dew, fog and cloud computing for high-performance, energy-efficiency, and guaranteed real-time, security, safety and reliability run-time management and control of coordinated edge, dew, fog and cloud computing
IoT services, communication networks and 5G