Heba Khdr
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
28
Venues
7
Active years
2013–2026
Best venue rank
A*
Where they publish
Papers
28 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | DATE | Efficient Federated Learning with Low-Rank Updates under Homomorphic Encryption. | Mohamed Aboelenien Ahmed, Mohamed Alsharkawy, Hassan Nassar, Heba Khdr, Jeferson Gonzlez-Gmez, Jrg Henkel |
| 2026 | DATE | TrustSeed: Lightweight Attestation Protocol for Ensuring LLM Integrity. | Mohamed Alsharkawy, Mohamed Aboelenien Ahmed, Hassan Nassar, Jeferson Gonzlez-Gmez, Heba Khdr, Osama Abboud, Xun Xiao, Jrg Henkel |
| 2026 | DATE | Multi-Partner Project: A Holistic and Open-Source Approach to Efficient, Secure and Reliable AI Hardware Deployment in DI-EDAI. | Georgios Sotiropoulos, Felix Frombach, Julian Hfer, Tanja Harbaum, Jrgen Becker, Henrik Iver Thore, Vincent Meyers, Mehdi B. Tahoori, Zeynep Demirdag, Mohammed Bakr Sikal, Hassan Nassar, Heba Khdr, Jrg Henkel, Christopher Wolters, Philipp van Kempen, Johannes Geier, Ulf Schlichtmann, Batuhan Sesli, Muhammad Sabih, Jakob Wittmann, Frank Hannig, Jrgen Teich, Lukas Steiner, Norbert Wehn, Mohamed Shelkamy Ali, Philipp Schmitz, Wolfgang Kunz, Stefan Koegler, Georg Sigl |
| 2025 | DAC | Centralized Training and Decentralized Control through the Actor-Critic Paradigm for Highly Optimized Multicores. | Benedikt Dietrich, Heba Khdr, Jrg Henkel |
| 2025 | DAC | Contention-Aware Forecasting of Energy Efficiency through Sequence-Based Models in Modern Heterogeneous Processors. | Mohammed Bakr Sikal, Jeferson Gonzlez-Gmez, Heba Khdr, Jrg Henkel |
| 2025 | DATE | Federated Reinforcement Learning for Optimizing the Power Efficiency of Edge Devices. | Benedikt Dietrich, Rasmus Mller-Both, Heba Khdr, Jrg Henkel |
| 2025 | DATE | Hardware/Software Co-Analysis for Worst Case Execution Time Bounds. | Can Joshua Lehmann, Lars Bauer, Hassan Nassar, Heba Khdr, Jrg Henkel |
| 2025 | ICCAD | Invited Paper: Hardware-Software Co-Design for Highly Optimized, Customized, and Reliable AI Systems. | Jrg Henkel, Mehdi B. Tahoori, Heba Khdr, Hassan Nassar, Vincent Meyers, Deming Chen, Selin Yildirim, Yingbing Huang, Nirmal R. Saxena, Saurabh Hukerikar, Srivi Dhruvanarayan |
| 2024 | DATE | Multi-Agent Reinforcement Learning for Thermally-Restricted Performance Optimization on Manycores. | Heba Khdr, Mustafa Enes Batur, Kanran Zhou, Mohammed Bakr Sikal, Jrg Henkel |
| 2023 | DAC | Smart Detection of Obfuscated Thermal Covert Channel Attacks in Many-core Processors. | Jeferson Gonzlez-Gmez, Mohammed Bakr Sikal, Heba Khdr, Lars Bauer, Jrg Henkel |
| 2023 | DAC | Machine Learning-based Thermally-Safe Cache Contention Mitigation in Clustered Manycores. | Mohammed Bakr Sikal, Heba Khdr, Martin Rapp, Jrg Henkel |
| 2023 | DATE | Extended Abstract: Monitoring-based Thermal Management for Mixed-Criticality Systems. | Marcel Mettler, Martin Rapp, Heba Khdr, Daniel Mueller-Gritschneder, Jrg Henkel, Ulf Schlichtmann |
| 2023 | RTAS | 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, Jrg Henkel, Alireza Ejlali |
| 2022 | DATE | NPU-Accelerated Imitation Learning for Thermal- and QoS-Aware Optimization of Heterogeneous Multi-Cores. | Martin Rapp, Nikita Krohmer, Heba Khdr, Jrg Henkel |
| 2022 | DATE | Thermal- and Cache-Aware Resource Management based on ML- Driven Cache Contention Prediction. | Mohammed Bakr Sikal, Heba Khdr, Martin Rapp, Jrg Henkel |
| 2021 | DAC | SmartBoost: Lightweight ML-Driven Boosting for Thermally-Constrained Many-Core Processors. | Martin Rapp, Mohammed Bakr Sikal, Heba Khdr, Jrg Henkel |
| 2021 | DATE | Long Short-Term Memory Neural Network-based Power Forecasting of Multi-Core Processors. | Mark Sagi, Martin Rapp, Heba Khdr, Yizhe Zhang, Nael Fasfous, Nguyen Anh Vu Doan, Thomas Wild, Jrg Henkel, Andreas Herkersdorf |
| 2019 | DATE | Smart Thermal Management for Heterogeneous Multicores. | Jrg Henkel, Heba Khdr, Martin Rapp |
| 2019 | RTSS | Thermally Composable Hybrid Application Mapping for Real-Time Applications in Heterogeneous Many-Core Systems. | Behnaz Pourmohseni, Fedor Smirnov, Heba Khdr, Stefan Wildermann, Jrgen Teich, Jrg Henkel |
| 2018 | DAC | Aging-constrained performance optimization for multi cores. | Heba Khdr, Hussam Amrouch, Jrg Henkel |
| 2018 | DAC | QoS-aware stochastic power management for many-cores. | Anuj Pathania, Heba Khdr, Muhammad Shafique, Tulika Mitra, Jrg Henkel |
| 2017 | DATE | Scalable probabilistic power budgeting for many-cores. | Anuj Pathania, Heba Khdr, Muhammad Shafique, Tulika Mitra, Jrg Henkel |
| 2016 | DATE | Towards performance and reliability-efficient computing in the dark silicon era. | Jrg Henkel, Santiago Pagani, Heba Khdr, Florian Kriebel, Semeen Rehman, Muhammad Shafique |
| 2015 | DAC | New trends in dark silicon. | Jrg Henkel, Heba Khdr, Santiago Pagani, Muhammad Shafique |
| 2015 | DAC | Thermal constrained resource management for mixed ILP-TLP workloads in dark silicon chips. | Heba Khdr, Santiago Pagani, Muhammad Shafique, Jrg Henkel |
| 2014 | DATE | mDTM: Multi-objective dynamic thermal management for on-chip systems. | Heba Khdr, Thomas Ebi, Muhammad Shafique, Hussam Amrouch, Jrg Henkel |
| 2014 | ICPADS | Peak Power Management for scheduling real-time tasks on heterogeneous many-core systems. | Waqaas Munawar, Heba Khdr, Santiago Pagani, Muhammad Shafique, Jian-Jia Chen, Jrg Henkel |
| 2013 | ASPDAC | Thermal management for dependable on-chip systems. | Jrg Henkel, Thomas Ebi, Hussam Amrouch, Heba Khdr |