What is he best known for?
The fields of study he is best known for:
- Operating system
- Computer network
- Central processing unit
Fault coverage, Embedded system, Fault injection, Software fault tolerance and Fault detection and isolation are his primary areas of study.
His Fault coverage study incorporates themes from Reliability engineering, Real-time computing, Sequential logic, Automatic test pattern generation and Stuck-at fault.
His Sequential logic study combines topics from a wide range of disciplines, such as Algorithm and CPU time.
Maurizio Rebaudengo combines subjects such as Fault tolerance and Single event upset with his study of Embedded system.
Maurizio Rebaudengo has included themes like Fault model, Segmentation fault, Fault indicator and N-version programming in his Software fault tolerance study.
His research investigates the connection between Very-large-scale integration and topics such as Built-in self-test that intersect with issues in Design for testing.
His most cited work include:
- Soft-error detection using control flow assertions (208 citations)
- Soft-error detection through software fault-tolerance techniques (130 citations)
- Software-Implemented Hardware Fault Tolerance (108 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Embedded system, Fault injection, Computer network, Fault coverage and Automatic test pattern generation.
His biological study spans a wide range of topics, including Software and Dependability.
As a member of one scientific family, he mostly works in the field of Fault injection, focusing on Software fault tolerance and, on occasion, General protection fault and Fault detection and isolation.
His Computer network research is multidisciplinary, incorporating elements of Key distribution in wireless sensor networks and Distributed computing.
The Fault coverage study combines topics in areas such as Reliability engineering, Real-time computing and Stuck-at fault.
His Automatic test pattern generation research is multidisciplinary, relying on both CPU time, Computer engineering, Sequential logic, Benchmark and Algorithm.
He most often published in these fields:
- Embedded system (30.49%)
- Fault injection (19.73%)
- Computer network (15.70%)
What were the highlights of his more recent work (between 2013-2020)?
- Wireless sensor network (11.21%)
- Computer network (15.70%)
- Accelerometer (4.04%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Wireless sensor network, Computer network, Accelerometer, Key management and Distributed computing.
The various areas that Maurizio Rebaudengo examines in his Wireless sensor network study include Wireless, Scalability, Real-time computing and Mobile computing.
His work in the fields of Computer network, such as Protocol, Testbed and Server, overlaps with other areas such as Energy consumption.
Maurizio Rebaudengo has researched Distributed computing in several fields, including Key distribution in wireless sensor networks and Parallel algorithm.
His study in Throughput is interdisciplinary in nature, drawing from both Embedded system and Speedup.
Maurizio Rebaudengo works mostly in the field of Embedded system, limiting it down to topics relating to Benchmark and, in certain cases, Fault injection, as a part of the same area of interest.
Between 2013 and 2020, his most popular works were:
- Key Management for Static Wireless Sensor Networks With Node Adding (44 citations)
- A Key Distribution Scheme for Mobile Wireless Sensor Networks: $q$ - $s$ -Composite (28 citations)
- A Mobile and Low-Cost System for Environmental Monitoring: A Case Study (27 citations)
In his most recent research, the most cited papers focused on:
- Operating system
- Computer network
- Artificial intelligence
His main research concerns Wireless sensor network, Computer network, Key distribution in wireless sensor networks, Symmetric-key algorithm and Distributed computing.
His studies in Wireless sensor network integrate themes in fields like Real-time computing, Data mining, Systems engineering and Mobile wireless sensor network.
The study incorporates disciplines such as Scalability, Computer engineering, Transmission, Fuzzy logic and Electronic engineering in addition to Real-time computing.
As part of his studies on Computer network, he often connects relevant subjects like Wireless.
Maurizio Rebaudengo interconnects Key management, Security level and Key distribution in the investigation of issues within Symmetric-key algorithm.
The concepts of his Distributed computing study are interwoven with issues in Cryptography and Public-key cryptography.
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