What is he best known for?
The fields of study he is best known for:
- Computer network
- The Internet
- Operating system
Computer security, Smart city, Wireless sensor network, Mobile device and Cloud computing are his primary areas of study.
His research investigates the connection between Computer security and topics such as Mobile computing that intersect with issues in Ambient intelligence and Citizen journalism.
His Wireless sensor network study integrates concerns from other disciplines, such as Wireless network and Intrusion detection system.
His Mobile device study combines topics from a wide range of disciplines, such as Trustworthy computing and Human–computer interaction.
His study in Cloud computing is interdisciplinary in nature, drawing from both Service provider, Computer network and Personalization.
Many of his research projects under Computer network are closely connected to Efficient energy use with Efficient energy use, tying the diverse disciplines of science together.
His most cited work include:
- Health Monitoring and Management Using Internet-of-Things (IoT) Sensing with Cloud-Based Processing: Opportunities and Challenges (367 citations)
- Trustworthy Sensing for Public Safety in Cloud-Centric Internet of Things (151 citations)
- Reliable overlay topology design for the smart microgrid network (96 citations)
What are the main themes of his work throughout his whole career to date?
Burak Kantarci mainly investigates Computer network, Cloud computing, Distributed computing, Mobile device and Provisioning.
His study in the field of Network packet and Bandwidth allocation is also linked to topics like Efficient energy use and Passive optical network.
His Cloud computing research includes elements of Computer security, Virtual machine and Data center.
His work focuses on many connections between Computer security and other disciplines, such as Smart city, that overlap with his field of interest in Intelligent sensor.
His Distributed computing research includes themes of Network topology, Service-level agreement, Heuristic, Backbone network and Blocking.
His biological study spans a wide range of topics, including Machine learning, Human–computer interaction and Artificial intelligence.
He most often published in these fields:
- Computer network (39.74%)
- Cloud computing (26.64%)
- Distributed computing (22.71%)
What were the highlights of his more recent work (between 2019-2021)?
- Artificial intelligence (11.35%)
- Mobile device (16.16%)
- Crowdsensing (8.30%)
In recent papers he was focusing on the following fields of study:
His primary scientific interests are in Artificial intelligence, Mobile device, Crowdsensing, Machine learning and Deep learning.
His work on Intrusion detection system as part of general Artificial intelligence research is often related to Computer communication networks and Public health, thus linking different fields of science.
The various areas that Burak Kantarci examines in his Mobile device study include Data as a service, Embedded system, Dependability, Variety and Data science.
The Data as a service study combines topics in areas such as Computer security, Adversary and Service.
His Data science course of study focuses on Smart city and Data acquisition and Key.
His work deals with themes such as Mains electricity and Attack model, which intersect with Distributed computing.
Between 2019 and 2021, his most popular works were:
- Artificial Intelligence-Empowered Mobilization of Assessments in COVID-19-like Pandemics: A Case Study for Early Flattening of the Curve. (10 citations)
- Machine learning-driven intrusion detection for Contiki-NG-based IoT networks exposed to NSL-KDD dataset (8 citations)
- Low-Latency Communications for Community Resilience Microgrids: A Reinforcement Learning Approach (8 citations)
In his most recent research, the most cited papers focused on:
- Computer network
- The Internet
- Operating system
Burak Kantarci mostly deals with Artificial intelligence, Crowdsensing, Ensemble learning, Mobile device and Intrusion detection system.
Burak Kantarci integrates many fields in his works, including Crowdsensing and Human–computer interaction.
His Mobile device study incorporates themes from Smart city and Data science.
He interconnects Data acquisition and Federated learning in the investigation of issues within Data science.
His work is dedicated to discovering how Intrusion detection system, Restricted Boltzmann machine are connected with Classifier, Cyber-attack, Robustness and The Internet and other disciplines.
His research integrates issues of Scheduling, Computer network, Base station and Microgrid in his study of Reinforcement learning.
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