What is he best known for?
The fields of study he is best known for:
- The Internet
- Computer network
- Telecommunications
Vincent Lenders mainly investigates Computer network, Computer security, Wireless ad hoc network, Wireless and Automatic dependent surveillance-broadcast.
Vincent Lenders works mostly in the field of Computer network, limiting it down to topics relating to Throughput and, in certain cases, Communications system, The Internet and Broadcasting.
The Computer security study combines topics in areas such as Wireless network and World Wide Web.
His Wireless ad hoc network research is multidisciplinary, incorporating elements of Mobile ad hoc network and Protocol.
His research investigates the connection between Protocol and topics such as Communications protocol that intersect with issues in Wireless sensor network.
The concepts of his Wireless study are interwoven with issues in Time domain, Overhead, Communication channel, Modulation and Deep learning.
His most cited work include:
- Deep Learning Models for Wireless Signal Classification With Distributed Low-Cost Spectrum Sensors (169 citations)
- Short paper: reactive jamming in wireless networks: how realistic is the threat? (161 citations)
- Realities and challenges of nextgen air traffic management: the case of ADS-B (146 citations)
What are the main themes of his work throughout his whole career to date?
The scientist’s investigation covers issues in Computer network, Wireless, Computer security, Real-time computing and Wireless sensor network.
Vincent Lenders interconnects Wireless ad hoc network and Distributed computing in the investigation of issues within Computer network.
Vincent Lenders has included themes like Crowdsourcing, Anomaly detection and Spread spectrum, Direct-sequence spread spectrum in his Wireless study.
His Exploit, Threat model and Malware study in the realm of Computer security connects with subjects such as Automatic dependent surveillance-broadcast.
He works mostly in the field of Real-time computing, limiting it down to concerns involving Embedded system and, occasionally, Wideband.
His studies deal with areas such as Telecommunications and Key as well as Wireless sensor network.
He most often published in these fields:
- Computer network (27.45%)
- Wireless (22.88%)
- Computer security (22.22%)
What were the highlights of his more recent work (between 2017-2021)?
- Wireless (22.88%)
- Computer security (22.22%)
- Wireless sensor network (15.03%)
In recent papers he was focusing on the following fields of study:
His primary areas of investigation include Wireless, Computer security, Wireless sensor network, Real-time computing and Telecommunications.
His biological study spans a wide range of topics, including Data modeling, Overhead, Anomaly detection, Feature vector and Host.
Host is a subfield of Computer network that he explores.
His Computer network research includes elements of Malware and Botnet.
His work on Exploit, Traffic collision avoidance system and Key as part of general Computer security study is frequently linked to Ground proximity warning system and Jamming, bridging the gap between disciplines.
His Wireless sensor network study incorporates themes from Open API and Metadata.
Between 2017 and 2021, his most popular works were:
- Deep Learning Models for Wireless Signal Classification With Distributed Low-Cost Spectrum Sensors (169 citations)
- Electrosense: Open and Big Spectrum Data (55 citations)
- Crowd-GPS-Sec: Leveraging Crowdsourcing to Detect and Localize GPS Spoofing Attacks (41 citations)
In his most recent research, the most cited papers focused on:
- The Internet
- Computer network
- Telecommunications
Vincent Lenders focuses on Wireless sensor network, Computer security, Artificial intelligence, Real-time computing and Wireless.
His studies in Wireless sensor network integrate themes in fields like Crowdsourcing, Overhead and Modulation.
His Computer security research is multidisciplinary, relying on both Cockpit and Botnet.
His work in the fields of Artificial intelligence, such as Lossy compression, Autoencoder and Anomaly detection, intersects with other areas such as Anomaly.
As a part of the same scientific family, Vincent Lenders mostly works in the field of Real-time computing, focusing on Spoofing attack and, on occasion, Global Positioning System and Telecommunications network.
His research integrates issues of Time domain, Data modeling, Deep learning, Symbol rate and Algorithm in his study of Wireless.
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