MLNS2 : Machine Learning Network Systems Security
Feb 15, 2026·
·
1 min read
Kilian KEMGNE
Image credit: MLNS2
Abstract
IO_URING based approach for double paging problem
Date
Feb 15, 2026 9:00 AM — Feb 19, 2026 4:00 PM
Event
Location
National Advanced School of Engineering of Yaounde
Pharmacie EMIA, Yaounde, Center
Machine Learning, Network, System and Security (MLNS²)
The MLNS² project aims to design and investigate efficient, robust, and scalable approaches to fight against malware proliferation. Addressing such challenges requires multidisciplinary knowledge from Machine Learning, Networking, System security, and beyond.
Slides from the MLNS2 Presentation:
Authors
Kilian KEMGNE
(he/him)
PhD Student
I am currently a Ph.D. student in Computer Science at the IRIT Laboratory of the University of Toulouse, under the supervision of
Prof. Daniel HAGIMONT, Prof. Alain TCHANA and
Dr. Camelia SLIMANI.
My research focuses on addressing the double paging problem in runtimes, improving swap behavior, and optimizing overall system performance.