SOFTWARE ENGINEERING & SECURITY Lab
@ SEJONG UNIVERSITY
The SES Laboratory conducts research on software engineering and security in various computer and network systems. Specific research areas include Internet of Things (IoT), AI-enabled systems, blockchain, semantics, and automated testing. In addition to research, various activities such as leading international standardization and journal editors are being conducted.
We have two accepted papers to IEEE Transactions on Vehicular Technology.
Multiple MSC and Ph.D positions are available in the broad area of IoT, AI and Software Security.
L. Nkenyereye, L. Nkenyereye, Q. -V. Pham and J. Song, "Efficient RSU Selection Scheme for Fog-based Vehicular Software-Defined Network," in IEEE Transactions on Vehicular Technology, doi: 10.1109/TVT.2021.3116811. (Links)
S. K. Yoo, S. L. Cotton, L. Zhang, M. G. Doone, J. S. Song and S. Rajbhandari, "Evaluation of a Switched Combining Based Distributed Antenna System (DAS) for Pedestrian-to-Vehicle Communications," in IEEE Transactions on Vehicular Technology, vol. 70, no. 10, pp. 11005-11010, Oct. 2021, doi: 10.1109/TVT.2021.3102700. (Links)
Harnessing the Power of Smart and Connected Health to Tackle COVID-19: IoT, AI, Robotics, and Blockchain for a Better World
F. Firouzi, J. Song et al.,
in IEEE Internet of Things Journal, vol. 8, no. 16, Aug.15, 2021
Virtual IoT Service Slice Functions for Multi-Access Edge Computing Platform
L. Nkenyereye, J. Hwang, Q. -V. Pham and J. Song,
in IEEE Internet of Things Journal, vol. 8, no. 14, July 15, 2021
Open source and global standards project for the enablement of distributed AI and Edge functions to the oneM2M IoT platform
Development of an air-gapped malware using various stealth data exchange mechanisms
Data-centric IoT enabled smart city using global standards and semantics (e.g., oneM2M and NGSI-LD)