What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Artificial intelligence
His primary areas of study are Wireless sensor network, Computer network, Energy consumption, Real-time computing and Blockchain.
The concepts of his Wireless sensor network study are interwoven with issues in Node, Key distribution in wireless sensor networks, Holy Grail and Wireless.
His Computer network research integrates issues from Home automation and Wireless ad hoc network.
Raja Jurdak interconnects Computer security, Information privacy, Threat model and Overlay network in the investigation of issues within Home automation.
His studies in Energy consumption integrate themes in fields like Network packet, Hierarchical routing, Protocol Independent Multicast, Local area network and Efficient energy use.
His Real-time computing research is multidisciplinary, incorporating elements of Roaming, Assisted GPS, Global Positioning System and Sound.
His most cited work include:
- Blockchain for IoT security and privacy: The case study of a smart home (716 citations)
- Environmental Wireless Sensor Networks (380 citations)
- BlockChain: A Distributed Solution to Automotive Security and Privacy (322 citations)
What are the main themes of his work throughout his whole career to date?
His primary areas of investigation include Wireless sensor network, Computer network, Real-time computing, Blockchain and Computer security.
Raja Jurdak combines subjects such as Distributed computing, Energy consumption, Key distribution in wireless sensor networks, Node and Efficient energy use with his study of Wireless sensor network.
His work carried out in the field of Computer network brings together such families of science as Wireless, Wireless ad hoc network and Hash function.
Raja Jurdak works mostly in the field of Real-time computing, limiting it down to topics relating to Global Positioning System and, in certain cases, Simulation, as a part of the same area of interest.
His Blockchain research is multidisciplinary, incorporating perspectives in Key and Resilience.
The study incorporates disciplines such as Overhead and Smart grid in addition to Computer security.
He most often published in these fields:
- Wireless sensor network (23.86%)
- Computer network (21.05%)
- Real-time computing (17.54%)
What were the highlights of his more recent work (between 2019-2021)?
- Computer security (12.63%)
- Blockchain (14.04%)
- Scalability (7.37%)
In recent papers he was focusing on the following fields of study:
His main research concerns Computer security, Blockchain, Scalability, Coronavirus disease 2019 and Smart grid.
His research investigates the connection with Computer security and areas like Data stream mining which intersect with concerns in Single point of failure.
He has researched Blockchain in several fields, including Dissemination, Key and Data science.
In his study, Efficient energy use is strongly linked to Distributed generation, which falls under the umbrella field of Smart grid.
His Code study integrates concerns from other disciplines, such as Computer network, Public-key cryptography and Anonymity.
His work blends Computer network and Ledger studies together.
Between 2019 and 2021, his most popular works were:
- B-FERL: Blockchain based framework for securing smart vehicles (32 citations)
- Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends. (23 citations)
- Blockchain technologies for IoT (14 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- Artificial intelligence
- The Internet
Raja Jurdak mostly deals with Blockchain, Computer security, Scalability, Data science and Artificial intelligence.
His Blockchain research is multidisciplinary, relying on both Key, Data stream mining and Sustainability.
His Key study incorporates themes from Cryptocurrency and Reliability.
His Computer security research is multidisciplinary, incorporating perspectives in Focus and Smart grid.
His work carried out in the field of Data science brings together such families of science as Dissemination and Transport network.
Raja Jurdak interconnects Data exchange, Verifiable secret sharing, Vehicular ad hoc network and Benchmark in the investigation of issues within Trust management.
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