About
Research at Artificial Intelligence of Things (AIoT) Lab aims to develop innovative algorithms, protocols and methodologies based on Artificial Intelligence, focusing on IoT data analytics, fog computing, edge computing, complex event processing, in facilitating data collection, data analysis, system design and presentation in the field of IoT.
Projects
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Design and Development of IoT System Architecture with QoS Support
2020-2022
supported by TUBITAK, 119N049 -
Improving WebRTC Security via Blockchain Technology
2019-2029
supported by ASELSAN-SSB -
Fog Computing Based Complex Event Processing and Content Curation for Internet of Things
2018-2021
supported by TUBITAK, 118E212
People
Director: Professor Suat Ozdemir
Research Areas;
Internet of Things (IoT), IoT Data Analysis, Wireless Sensor Networks, Network Security, Data Mining
Figures From Publications
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Fog Computing‐Based Privacy Preserving Data Aggregation Protocols
2020
Res. Assist Dr. Feyza Y. OKAY -
SDN-Based Data Forwarding in Fog-Enabled Smart Grids
2019
Res. Assist Dr. Feyza Y. OKAY -
Routing in Fog-Enabled IoT Platforms:
A Survey and an SDN-Based Solution2018
Res. Assist Dr. Feyza Y. OKAY -
Routing in Fog-Enabled IoT Platforms:
A Survey and an SDN-Based Solution2018
Res. Assist Dr. Feyza Y. OKAY -
DeepMDP: A Novel Deep Learning Based Missing
Data Prediction Protocol for IoT2020
Res. Assist Ibrahim KOK -
DeepMDP: A Novel Deep Learning Based Missing
Data Prediction Protocol for IoT2020
Res. Assist Ibrahim KOK -
Deep Learning based Delay and Bandwidth Efficient
Data Transmission in IoT2019
Res. Assist Ibrahim KOK -
A Deep Learning Model for Air Quality Prediction in Smart Cities
2017
Res. Assist Ibrahim KOK