Ranking & Metrics
Impact Score is a novel metric devised to rank conferences based on the number of contributing the best scientists in addition to the h-index estimated from the scientific papers published by the best scientists. See more details on our methodology page.
Research Impact Score:4.29
Contributing Best Scientists:
H5-index:32
Papers published by Best Scientists
Research Ranking (Computer Science)143
Conference Call for Papers
Authors are invited to submit original papers on all topics within this broad scope. Example topical areas include but are not limited to the following:
Hardware (e.g., microprocessors, memory systems, systems on chip, I/O devices, storage systems,Trusted Execution Environments (TEEs), edge and mobile devices, data center infrastructure, hardware accelerators, emerging technologies, emerging paradigms like processing in memory & quantum computing)
Software (e.g., applications, middleware, distributed algorithms, operating systems, software security, dependable software design)
Networked systems and clouds (e.g., wireless networks, mobility, software-defined networking, edge computing, cloud computing/storage, networks on chip, network security)
Autonomous systems (e.g., self-driving vehicles, autonomous robots, assured autonomy, explainable decision making, acceptability, privacy issues)
Cyber-physical systems (e.g., embedded systems, real-time control of critical systems, internet of things, smart grid, automotive, aerospace, railway, medical systems)
Distributed ledgers/Blockchain (e.g., BFT/consensus algorithms, cryptocurrencies, decentralized storage, zero knowledge proofs)
AI/Machine Learning for resilient systems (e.g., robust, resilient, secure, and explainable AI/Machine Learning techniques; applications of AI/ML techniques for dependability and security, robustness issues in ML/AI systems)
Models and methodologies for programming, evaluating, verifying, and assessing robust (dependable and secure) systems (e.g., performance and dependability evaluation, analytical and numerical methods, simulation, experimentation, benchmarking, verification, field data analysis)
Emerging technologies and computing paradigms (e.g., robustness, security, dependability issues of emerging memory and storage systems, emerging computing paradigms like quantum computing, processing in memory/sensors/storage/network, 3-dimensional architectures, new hardware/software cooperative paradigms, emerging programming and system paradigms)
