E-mail dsl-contact [at] is.naist.jp
We focus on designing algorithms to improve dependability and performance of various distributed systems such as the Internet, ITS, IoT, blockchain (bitcoin), sensor networks, and nano-scale systems.
Fault-tolerant distributed systems
Wait-free distributed algorithms
Mobile agent and robot algorithms
Population protocols for nano-scale systems
Dynamic distributed algorithms
We are conducting researches on hardware dependability which ranges broadly across robust computing, VLSI design, CAD, testing, photovoltaic systems, security, and power converters using new wide-bandgap semiconductors.
VLSI design for testability
Reliable design and testing for memory
Hardware Trojan detection
Circuit and system mechanisms for high field reliability
Test optimization through machine-learning-based analysis
Circuit simulation of power converter
Device modeling of SiC devices
Optimization of photovoltaic system power generation
Dependability of neuromorphic computers
Today's information society is supported by various levels of advanced technology such as applications, systems, computers and VLSIs. The Dependable System Laboratory is pursuing research on safe and secure systems including distributed systems with hundreds of computers and VLSIs with billions of transistors. "Dependability" is a concept from the user's point of view, when systems can be used reliably and securely.
In order to achieve dependable systems, we need to consider various aspects of these systems from the user's point of view. For example, whether all the systems are completely tested before shipping, whether the systems can work correctly in the presence of faults, whether the systems can predict and avoid system failure caused by transistor aging, whether the system can handle malicious users, and wheter the photovoltaic systems can efficiently generate power with partial shade or faulty cells. This laboratory performs research to improve dependability through various approaches.
The Dependable System Lab also fosters skills for logical thinking, presentation, design and analysis of algorithms, CAD tools, machine learning, software programming (C/C++, Java, Python etc.) and hardware programming (Verilog/VHDL) through our research.