Thermal management for dependable on-chip systems. - Jörg Henkel; Thomas Ebi; Hussam Amrouch; Heba Khdr (ASP-DAC, 2013)

TSP: Thermal Safe Power - Efficient power budgeting for many-core systems in dark silicon. - Santiago Pagani; Heba Khdr; Waqaas Munawar; Jian-Jia Chen; Muhammad Shafique 001; Minming Li; Jörg Henkel (CODES+ISSS, 2014)

mDTM: Multi-objective dynamic thermal management for on-chip systems. - Heba Khdr; Thomas Ebi; Muhammad Shafique 001; Hussam Amrouch; Jörg Henkel (DATE, 2014)

Peak Power Management for scheduling real-time tasks on heterogeneous many-core systems. - Waqaas Munawar; Heba Khdr; Santiago Pagani; Muhammad Shafique 001; Jian-Jia Chen; Jörg Henkel (ICPADS, 2014)

seBoost: Selective boosting for heterogeneous manycores. - Santiago Pagani; Muhammad Shafique 001; Heba Khdr; Jian-Jia Chen; Jörg Henkel (CODES+ISSS, 2015)

New trends in dark silicon. - Jörg Henkel; Heba Khdr; Santiago Pagani; Muhammad Shafique 001 (DAC, 2015)

Thermal constrained resource management for mixed ILP-TLP workloads in dark silicon chips. - Heba Khdr; Santiago Pagani; Muhammad Shafique 001; Jörg Henkel (DAC, 2015)

Dark Silicon: From Computation to Communication. - Jörg Henkel; Haseeb Bokhari; Siddharth Garg; Muhammad Usman Karim Khan; Heba Khdr; Florian Kriebel; Ümit Y. Ogras; Sri Parameswaran; Muhammad Shafique 001 (NOCS, 2015)

Towards performance and reliability-efficient computing in the dark silicon era. - Jörg Henkel; Santiago Pagani; Heba Khdr; Florian Kriebel; Semeen Rehman; Muhammad Shafique 001 (DATE, 2016)

Dark silicon management: an integrated and coordinated cross-layer approach. - Santiago Pagani; Lars Bauer; Qingqing Chen 004; Elisabeth Glocker; Frank Hannig; Andreas Herkersdorf; Heba Khdr; Anuj Pathania; Ulf Schlichtmann; Doris Schmitt-Landsiedel; Mark Sagi; Éricles Sousa; et al. (it Inf. Technol., 2016)

Scalable probabilistic power budgeting for many-cores. - Anuj Pathania; Heba Khdr; Muhammad Shafique 001; Tulika Mitra; Jörg Henkel (DATE, 2017)

Power Density-Aware Resource Management for Heterogeneous Tiled Multicores. - Heba Khdr; Santiago Pagani; Éricles Sousa; Vahid Lari; Anuj Pathania; Frank Hannig; Muhammad Shafique 001; Jürgen Teich; Jörg Henkel (IEEE Trans. Computers, 2017)

Thermal Safe Power (TSP): Efficient Power Budgeting for Heterogeneous Manycore Systems in Dark Silicon. - Santiago Pagani; Heba Khdr; Jian-Jia Chen; Muhammad Shafique 001; Minming Li; Jörg Henkel (IEEE Trans. Computers, 2017)

Aging-constrained performance optimization for multi cores. - Heba Khdr; Hussam Amrouch; Jörg Henkel (DAC, 2018)

QoS-aware stochastic power management for many-cores. - Anuj Pathania; Heba Khdr; Muhammad Shafique 001; Tulika Mitra; Jörg Henkel (DAC, 2018)

Chapter Four - Dark Silicon Aware Resource Management for Many-Core Systems. - Heba Khdr; Santiago Pagani; Muhammad Shafique 001; Jörg Henkel (Adv. Comput., 2018)

Aging-Aware Boosting. - Heba Khdr; Hussam Amrouch; Jörg Henkel (IEEE Trans. Computers, 2018)

Smart Thermal Management for Heterogeneous Multicores. - Jörg Henkel; Heba Khdr; Martin Rapp (DATE, 2019)

Thermally Composable Hybrid Application Mapping for Real-Time Applications in Heterogeneous Many-Core Systems. - Behnaz Pourmohseni; Fedor Smirnov; Heba Khdr; Stefan Wildermann; Jürgen Teich; Jörg Henkel (RTSS, 2019)

Dynamic Guardband Selection: Thermal-Aware Optimization for Unreliable Multi-Core Systems. - Heba Khdr; Hussam Amrouch; Jörg Henkel (IEEE Trans. Computers, 2019)

Resource Management for Multicores to Optimize Performance under Temperature and Aging Constraints. - Heba Khdr (2019)

Comparative Framework for the Analysis of Thermal and Resource Management Algorithms for Multi-Core Architectures. - Moeez Akmal; Muhammad Sarmad Saeed; Muhammad Usama Sardar; Hareem Shafi; Osman Hasan; Heba Khdr; Jörg Henkel (ISQED, 2020)

Combinatorial Auctions for Temperature-Constrained Resource Management in Manycores. - Heba Khdr; Muhammad Shafique 001; Santiago Pagani; Andreas Herkersdorf; Jörg Henkel (IEEE Trans. Parallel Distributed Syst., 2020)

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

Long Short-Term Memory Neural Network-based Power Forecasting of Multi-Core Processors. - Mark Sagi; Martin Rapp; Heba Khdr; Yizhe Zhang 005; Nael Fasfous; Nguyen Anh Vu Doan; Thomas Wild; Jörg Henkel; Andreas Herkersdorf (DATE, 2021)

NPU-Accelerated Imitation Learning for Thermal- and QoS-Aware Optimization of Heterogeneous Multi-Cores. - Martin Rapp; Nikita Krohmer; Heba Khdr; Jörg Henkel (DATE, 2022)

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

A Survey of Fault-Tolerance Techniques for Embedded Systems From the Perspective of Power, Energy, and Thermal Issues. - Sepideh Safari; Mohsen Ansari; Heba Khdr; Pourya Gohari-Nazari; Sina Yari-Karin; Amir Yeganeh-Khaksar; Shaahin Hessabi; Alireza Ejlali; Jörg Henkel (IEEE Access, 2022)

An FPGA-based Approach to Evaluate Thermal and Resource Management Strategies of Many-core Processors. - Marcel Mettler; Martin Rapp; Heba Khdr; Daniel Mueller-Gritschneder; Jörg Henkel; Ulf Schlichtmann (ACM Trans. Archit. Code Optim., 2022)

Thermal-Aware Standby-Sparing Technique on Heterogeneous Real-Time Embedded Systems. - Mohsen Ansari; Sepideh Safari; Sina Yari-Karin; Pourya Gohari-Nazari; Heba Khdr; Muhammad Shafique 001; Jörg Henkel; Alireza Ejlali (IEEE Trans. Emerg. Top. Comput., 2022)

Power-Aware Checkpointing for Multicore Embedded Systems. - Mohsen Ansari; Sepideh Safari; Heba Khdr; Pourya Gohari-Nazari; Jörg Henkel; Alireza Ejlali; Shaahin Hessabi (IEEE Trans. Parallel Distributed Syst., 2022)

TherMa-MiCs: Thermal-Aware Scheduling for Fault-Tolerant Mixed-Criticality Systems. - Sepideh Safari; Heba Khdr; Pourya Gohari-Nazari; Mohsen Ansari; Shaahin Hessabi; Jörg Henkel (IEEE Trans. Parallel Distributed Syst., 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)

Extended Abstract: Monitoring-based Thermal Management for Mixed-Criticality Systems. - Marcel Mettler; Martin Rapp; Heba Khdr; Daniel Mueller-Gritschneder; Jörg Henkel; Ulf Schlichtmann (DATE, 2023)

MonTM: Monitoring-Based Thermal Management for Mixed-Criticality Systems. - Marcel Mettler; Martin Rapp; Heba Khdr; Daniel Mueller-Gritschneder; Jörg Henkel; Ulf Schlichtmann (PARMA-DITAM, 2023)

ATLAS: Aging-Aware Task Replication for Multicore Safety-Critical Systems. - Mohsen Ansari; Sepideh Safari; Amir Yeganeh-Khaksar; Roozbeh Siyadatzadeh; Pourya Gohari-Nazari; Heba Khdr; Muhammad Shafique 001; Jörg Henkel; Alireza Ejlali (RTAS, 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)

An Open-Source Tool for Analyzing the Time Efficiency of Machine Learning on Edge Devices. - Heba Khdr; Yigit Oguz; Jörg Henkel (ICM, 2024)

NPU-Accelerated Imitation Learning for Thermal Optimization of QoS-Constrained Heterogeneous Multi-Cores. - Martin Rapp; Heba Khdr; Nikita Krohmer; Jörg Henkel (ACM Trans. Design Autom. Electr. Syst., 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)

Federated Reinforcement Learning for Optimizing the Power Efficiency of Edge Devices. - Benedikt Dietrich; Rasmus Müller-Both; Heba Khdr; Jörg Henkel (DATE, 2025)

Hardware/Software Co-Analysis for Worst Case Execution Time Bounds. - Can Joshua Lehmann; Lars Bauer; Hassan Nassar; Heba Khdr; Jörg Henkel (DATE, 2025)

Towards the Optimization of Hardware Efficiency through Machine Learning. - Heba Khdr; Mohammed Bakr Sikal; Benedikt Dietrich; Jörg Henkel (ISVLSI, 2025)

Efficient Zero-Order Federated Finetuning of Language Models for Resource-Constrained Devices. - Mohamed Aboelenien Ahmed; Kilian Pfeiffer; Ramin Khalili; Heba Khdr; Jörg Henkel (CoRR, 2025)

Accelerated Training on Low-Power Edge Devices. - Mohamed Aboelenien Ahmed; Kilian Pfeiffer; Heba Khdr; Osama Abboud; Ramin Khalili; Jörg Henkel (CoRR, 2025)