SmartBoost: Lightweight ML-Driven Boosting for Thermally-Constrained Many-Core Processors. - Martin Rapp; Mohammed Bakr Sikal; Heba Khdr; Jörg Henkel (DAC, 2021)

Thermal- and Cache-Aware Resource Management based on ML- Driven Cache Contention Prediction. - Mohammed Bakr Sikal; Heba Khdr; Martin Rapp; Jörg Henkel (DATE, 2022)

Smart Detection of Obfuscated Thermal Covert Channel Attacks in Many-core Processors. - Jeferson González-Gómez; Mohammed Bakr Sikal; Heba Khdr; Lars Bauer; Jörg Henkel (DAC, 2023)

Machine Learning-based Thermally-Safe Cache Contention Mitigation in Clustered Manycores. - Mohammed Bakr Sikal; Heba Khdr; Martin Rapp; Jörg Henkel (DAC, 2023)

Multi-Agent Reinforcement Learning for Thermally-Restricted Performance Optimization on Manycores. - Heba Khdr; Mustafa Enes Batur; Kanran Zhou; Mohammed Bakr Sikal; Jörg Henkel (DATE, 2024)

Balancing Security and Efficiency: System-Informed Mitigation of Power-Based Covert Channels. - Jeferson González-Gómez; Mohammed Bakr Sikal; Heba Khdr; Lars Bauer; Jörg Henkel (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

ML-Based Thermal and Cache Contention Alleviation on Clustered Manycores With 3-D HBM. - Mohammed Bakr Sikal; Heba Khdr; Lokesh Siddhu; Jörg Henkel (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Heterogeneous Accelerator Design for Multi-DNN Workloads via Heuristic Optimization. - Konstantinos Balaskas; Heba Khdr; Mohammed Bakr Sikal; Fabian Kreß; Kostas Siozios; Jürgen Becker 001; Jörg Henkel (IEEE Embed. Syst. Lett., 2024)