Jörg Henkel - researchr alias

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Viewing Publication 1 - 100 from 635

2026

Pilot: Power-Aware Hybrid Fault Tolerance in Multi-Core Embedded SystemsAmir Hossein Ansari, Moein Esnaashari, Sepideh Safari, Mohsen Ansari, Alireza Ejlali, Jörg Henkel. tpds, 37(3):726-743, March 2026. [doi]

2025

Leveraging Highly Approximated Multipliers in DNN InferenceGeorgios Zervakis 0001, Fabio Frustaci, Ourania Spantidi, Iraklis Anagnostopoulos, Hussam Amrouch, Jörg Henkel. access, 13:47897-47911, 2025. [doi]

Accelerated Training on Low-Power Edge DevicesMohamed Aboelenien Ahmed, Kilian Pfeiffer, Osama Abboud, Ramin Khalili, Heba Khdr, Jörg Henkel. tmlr, 2025, 2025. [doi]

Late Breaking Results: The Hidden Risks of Activation Duration in PLPUFsMohamed Alsharkawy, Jan Zwerschke, Hassan Nassar, Jeferson González-Gómez, Jörg Henkel. dac 2025: 1-2 [doi]

Late Breaking Results: Decentralized Voting-Based Attestation for IoT DevicesMohamed Alsharkawy, Eren Sönmez, Jeferson González-Gómez, Hassan Nassar, Jörg Henkel. dac 2025: 1-2 [doi]

DPReF: Decentralized Key Generation Using Physical-Related FunctionsMohamed Alsharkawy, Hassan Nassar, Jeferson González-Gómez, Xun Xiao, Osama Abboud, Jörg Henkel. tecs, 24(5s), 2025. [doi]

FLARE: Fault Attack Leveraging Address Reconfiguration Exploits in Multi-Tenant FPGAsJayeeta Chaudhuri, Hassan Nassar, Dennis R. E. Gnad, Jörg Henkel, Mehdi B. Tahoori, Krishnendu Chakrabarty. ets 2025: 1-6 [doi]

Centralized Training and Decentralized Control through the Actor-Critic Paradigm for Highly Optimized MulticoresBenedikt Dietrich, Heba Khdr, Jörg Henkel. dac 2025: 1-7 [doi]

Federated Reinforcement Learning for Optimizing the Power Efficiency of Edge DevicesBenedikt Dietrich, Rasmus Müller-Both, Heba Khdr, Jörg Henkel. date 2025: 1-7 [doi]

Timekeepers: ML-Driven SDF Analysis for Power-Wasters Detection in FPGAsMohamed Fathy, Hassan Nassar, Mohamed A. Abd El ghany, Jörg Henkel. tecs, 24(5s), 2025. [doi]

Hardware-Accelerated Mode-Switching Polymorphic Encryption for Privacy Preserving Machine LearningRawan Hagag, Hassan Nassar, Jörg Henkel, Mohamed A. Abd El ghany. mocast 2025: 1-5 [doi]

Celebrating 20 Years of EDA: Milestones, Challenges, and Future DirectionsJörg Henkel, L. Miguel Silveira. dt, 42(6):5-7, December 2025. [doi]

Invited Paper: Hardware-Software Co-Design for Highly Optimized, Customized, and Reliable AI SystemsJörg Henkel, Mehdi B. Tahoori, Heba Khdr, Hassan Nassar, Vincent Meyers, Deming Chen, Selin Yildirim, Yingbing Huang, Nirmal R. Saxena, Saurabh Hukerikar, Srivi Dhruvanarayan. iccad 2025: 1-9 [doi]

Dynamic Task Replication With Imperfect Fault Detection in Multicore Cyber-Physical SystemsHossein Hosseini, Mohsen Ansari, Jörg Henkel. tetc, 13(3):1113-1129, July - September 2025. [doi]

Towards the Optimization of Hardware Efficiency through Machine LearningHeba Khdr, Mohammed Bakr Sikal, Benedikt Dietrich, Jörg Henkel. isvlsi 2025: 1-6 [doi]

Enabling Printed Multilayer Perceptrons Realization via Area-Aware Neural MinimizationArgyris Kokkinis, Georgios Zervakis 0001, Kostas Siozios, Mehdi Baradaran Tahoori, Jörg Henkel. TC, 74(4):1461-1469, April 2025. [doi]

Hardware/Software Co-Analysis for Worst Case Execution Time BoundsCan Joshua Lehmann, Lars Bauer, Hassan Nassar, Heba Khdr, Jörg Henkel. date 2025: 1-2 [doi]

2T-Tiny: Runtime-Reconfigurable Throughput-Optimized TinyML for Hybrid Inference Acceleration on FPGA SoCsGeorgios Mentzos, Valentin Alexander Frey, Konstantinos Balaskas, Georgios Zervakis 0001, Jörg Henkel. iccad 2025: 1-9 [doi]

Turbo-FHE: Accelerating Fully Homomorphic Encryption With FPGA and HBM IntegrationHassan Nassar, Lars Bauer, Jörg Henkel. dt, 42(3):86-93, June 2025. [doi]

Through Fabric: A Cross-world Thermal Covert Channel on TEE-enhanced FPGA-MPSoC SystemsHassan Nassar, Jeferson González-Gómez, Varun Manjunath, Lars Bauer, Jörg Henkel. aspdac 2025: 461-467 [doi]

REAP-NVM: Resilient Endurance-Aware NVM-Based PUF Against Learning-Based AttacksHassan Nassar, Ming-Liang Wei, Chia-Lin Yang, Jörg Henkel, Kuan-Hsun Chen. date 2025: 1-2 [doi]

EDEN: Energy-aware Dynamic Genetic and Neural Network-based Path Predictive Routing and Clustering for Mobile SD-IoT NetworksNegar Javadzadeh No, Hossein Taghizadeh, Mohammad Parsa Sedighi, Bardia Safaei 0001, Jörg Henkel. iwcmc 2025: 1513-1518 [doi]

DIST: Distributed Learning-Based Energy-Efficient and Reliable Task Scheduling and Resource Allocation in Fog ComputingElyas Oustad, Abolfazl Younesi, Mohsen Ansari, Sepideh Safari, Mohammad Arman Soleimani, Jörg Henkel, Alireza Ejlali. tsc, 18(3):1336-1351, May - June 2025. [doi]

Energy-Aware Heterogeneous Federated Learning via Approximate DNN AcceleratorsKilian Pfeiffer, Konstantinos Balaskas, Kostas Siozios, Jörg Henkel. tcad, 44(6):2054-2066, June 2025. [doi]

ReTMiC: Reliability-Aware Thermal Management in Multicore Mixed-Criticality Embedded SystemsSepideh Safari, Mohsen Ansari, Shaahin Hessabi, Jörg Henkel. access, 13:33157-33175, 2025. [doi]

Contention-Aware Forecasting of Energy Efficiency through Sequence-Based Models in Modern Heterogeneous ProcessorsMohammed Bakr Sikal, Jeferson González-Gómez, Heba Khdr, Jörg Henkel. dac 2025: 1-7 [doi]

Approximate Multiplier Mapping for Unfairness Mitigation in Energy-Efficient DNNsOurania Spantidi, Georgios Zervakis 0001, Jörg Henkel, Iraklis Anagnostopoulos. iscas 2025: 1-5 [doi]

Multi-Partner Project: Open-Source Design Tools for Co-Development of AI Algorithms and AI Chips: (Initial Stage)Mehdi B. Tahoori, Jürgen Becker 0001, Jörg Henkel, Wolfgang Kunz, Ulf Schlichtmann, Georg Sigl, Jürgen Teich, Norbert Wehn. date 2025: 1-6 [doi]

2024

MaliGNNoma: GNN-Based Malicious Circuit Classifier for Secure Cloud FPGAsLilas Alrahis, Hassan Nassar, Jonas Krautter, Dennis Gnad, Lars Bauer, Jörg Henkel, Mehdi B. Tahoori. host 2024: 383-393 [doi]

Heterogeneous Accelerator Design for Multi-DNN Workloads via Heuristic OptimizationKonstantinos Balaskas, Heba Khdr, Mohammed Bakr Sikal, Fabian Kreß, Kostas Siozios, Jürgen Becker 0001, Jörg Henkel. esl, 16(4):317-320, December 2024. [doi]

Hardware-Aware DNN Compression via Diverse Pruning and Mixed-Precision QuantizationKonstantinos Balaskas, Andreas Karatzas, Christos Sad, Kostas Siozios, Iraklis Anagnostopoulos, Georgios Zervakis 0001, Jörg Henkel. tetc, 12(4):1079-1092, October - December 2024. [doi]

Machine-Learning-Based Side-Channel Attack Detection for FPGA SoCsLars Bauer, Hassan Nassar, Nadir Khan, Jürgen Becker 0001, Jörg Henkel. tcasai, 1(2):178-190, December 2024. [doi]

Client-Server Framework for FPGA Acceleration of Fan-Vercauteren-Based Homomorphic EncryptionSimon Bothe, Hassan Nassar, Lars Bauer, Jörg Henkel. icm2 2024: 1-5 [doi]

Hacking the Fabric: Targeting Partial Reconfiguration for Fault Injection in FPGA FabricsJayeeta Chaudhuri, Hassan Nassar, Dennis R. E. Gnad, Jörg Henkel, Mehdi B. Tahoori, Krishnendu Chakrabarty. ats 2024: 1-6 [doi]

Balancing Security and Efficiency: System-Informed Mitigation of Power-Based Covert ChannelsJeferson González-Gómez, Mohammed Bakr Sikal, Heba Khdr, Lars Bauer, Jörg Henkel. tcad, 43(11):3395-3406, November 2024. [doi]

LightFAt: Mitigating Control-Flow Explosion via Lightweight PMU-Based Control-Flow AttestationJeferson González-Gómez, Hassan Nassar, Lars Bauer, Jörg Henkel. host 2024: 222-226 [doi]

Co-Designing NVM-based Systems for Machine Learning and In-memory Search ApplicationsJörg Henkel, Lokesh Siddhu, Hassan Nassar, Lars Bauer, Jian-Jia Chen, Christian Hakert, Tristan Taylan Seidl, Kuan-Hsun Chen, Xiaobo Sharon Hu, Mengyuan Li, Chia-Lin Yang, Ming-Liang Wei. iccad 2024: [doi]

An FPGA-Based RISC-V Instruction Set Extension and Memory Controller for Multi-Level Cell NVMMina Ibrahim, Martel Shokry, Lokesh Siddhu, Lars Bauer, Hassan Nassar, Jörg Henkel. icm2 2024: 1-6 [doi]

Multi-Agent Reinforcement Learning for Thermally-Restricted Performance Optimization on ManycoresHeba Khdr, Mustafa Enes Batur, Kanran Zhou, Mohammed Bakr Sikal, Jörg Henkel. date 2024: 1-6 [doi]

An Open-Source Tool for Analyzing the Time Efficiency of Machine Learning on Edge DevicesHeba Khdr, Yigit Oguz, Jörg Henkel. icm2 2024: 1-6 [doi]

QUERA: Q-Learning RPL Routing Mechanism to Establish Energy Efficient and Reliable Communications in Mobile IoT NetworksSahar Rezagholi Lalani, Bardia Safaei 0001, Amir Mahdi Hosseini Monazzah, Hossein Taghizadeh, Jörg Henkel, Alireza Ejlali. tgcn, 8(4):1824-1839, December 2024. [doi]

FUSION: A Fuzzy-Based Multi-Objective Task Management for Fog NetworksArya Motamedhashemi, Bardia Safaei 0001, Amir Mahdi Hosseini Monazzah, Jörg Henkel, Alireza Ejlali. access, 12:152886-152907, 2024. [doi]

HBMorphic: FHE Acceleration via HBM-Enabled Recursive Karatsuba Multiplier on FPGAHassan Nassar, Lars Bauer, Jörg Henkel. fccm 2024: 217 [doi]

DoS-FPGA: Denial of Service on Cloud FPGAs via Coordinated Power HammeringHassan Nassar, Philipp Machauer, Lars Bauer, Dennis Gnad, Mehdi Baradaran Tahoori, Jörg Henkel. iccad 2024: [doi]

Meta-Scanner: Detecting Fault Attacks via Scanning FPGA Designs MetadataHassan Nassar, Jonas Krautter, Lars Bauer, Dennis Gnad, Mehdi B. Tahoori, Jörg Henkel. tcad, 43(11):3443-3454, November 2024. [doi]

Covert-Hammer: Coordinating Power-Hammering on Multi-tenant FPGAs via Covert ChannelsHassan Nassar, Philipp Machauer, Dennis R. E. Gnad, Lars Bauer, Mehdi B. Tahoori, Jörg Henkel. fpga 2024: 43 [doi]

NPU-Accelerated Imitation Learning for Thermal Optimization of QoS-Constrained Heterogeneous Multi-CoresMartin Rapp, Heba Khdr, Nikita Krohmer, Jörg Henkel. todaes, 29(1), January 2024. [doi]

ML-Based Thermal and Cache Contention Alleviation on Clustered Manycores With 3-D HBMMohammed Bakr Sikal, Heba Khdr, Lokesh Siddhu, Jörg Henkel. tcad, 43(11):3614-3625, November 2024. [doi]

A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future TrendsAbolfazl Younesi, Mohsen Ansari, MohammadAmin Fazli, Alireza Ejlali, Muhammad Shafique 0001, Jörg Henkel. access, 12:41180-41218, 2024. [doi]

Corrections to "A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends"Abolfazl Younesi, Mohsen Ansari, MohammadAmin Fazli, Alireza Ejlali, Muhammad Shafique 0001, Jörg Henkel. access, 12:112180, 2024. [doi]

2023

ATLAS: Aging-Aware Task Replication for Multicore Safety-Critical SystemsMohsen Ansari, Sepideh Safari, Amir Yeganeh-Khaksar, Roozbeh Siyadatzadeh, Pourya Gohari-Nazari, Heba Khdr, Muhammad Shafique 0001, Jörg Henkel, Alireza Ejlali. rtas 2023: 223-234 [doi]

Hardware Approximate Techniques for Deep Neural Network Accelerators: A SurveyGiorgos Armeniakos, Georgios Zervakis 0001, Dimitrios Soudris, Jörg Henkel. ACM Comput. Surv., 55(4), 2023. [doi]

Co-Design of Approximate Multilayer Perceptron for Ultra-Resource Constrained Printed CircuitsGiorgos Armeniakos, Georgios Zervakis 0001, Dimitrios Soudris, Mehdi B. Tahoori, Jörg Henkel. TC, 72(9):2717-2725, September 2023. [doi]

Model-to-Circuit Cross-Approximation For Printed Machine Learning ClassifiersGiorgos Armeniakos, Georgios Zervakis 0001, Dimitrios Soudris, Mehdi B. Tahoori, Jörg Henkel. tcad, 42(11):3532-3544, November 2023. [doi]

AdaPT: Fast Emulation of Approximate DNN Accelerators in PyTorchDimitrios Danopoulos, Georgios Zervakis 0001, Kostas Siozios, Dimitrios Soudris, Jörg Henkel. tcad, 42(6):2074-2078, June 2023. [doi]

Cache-Based Side-Channel Attack Mitigation for Many-Core Distributed Systems via Dynamic Task MigrationJeferson González-Gómez, Lars Bauer, Jörg Henkel. tifs, 18:2440-2450, 2023. [doi]

The First Concept and Real-world Deployment of a GPU-based Thermal Covert Channel: Attack and CountermeasuresJeferson González-Gómez, Kevin Cordero-Zuñiga, Lars Bauer, Jörg Henkel. date 2023: 1-6 [doi]

Smart Detection of Obfuscated Thermal Covert Channel Attacks in Many-core ProcessorsJeferson González-Gómez, Mohammed Bakr Sikal, Heba Khdr, Lars Bauer, Jörg Henkel. dac 2023: 1-6 [doi]

Special Session - Non-Volatile Memories: Challenges and Opportunities for Embedded System Architectures with Focus on Machine Learning ApplicationsJörg Henkel, Lokesh Siddhu, Lars Bauer, Jürgen Teich, Stefan Wildermann, Mehdi B. Tahoori, Mahta Mayahinia, Jerónimo Castrillón, Asif Ali Khan, Hamid Farzaneh, João Paulo C. de Lima, Jian-Jia Chen, Christian Hakert, Kuan-Hsun Chen, Chia-Lin Yang, Hsiang-Yun Cheng. cases 2023: 11-20 [doi]

Memory Carousel: LLVM-Based Bitwise Wear Leveling for Nonvolatile Main MemoryNils Hölscher, Christian Hakert, Hassan Nassar, Kuan-Hsun Chen, Lars Bauer, Jian-Jia Chen, Jörg Henkel. tcad, 42(8):2527-2539, 2023. [doi]

Hardware-Aware Automated Neural Minimization for Printed Multilayer PerceptronsArgyris Kokkinis, Georgios Zervakis 0001, Kostas Siozios, Mehdi B. Tahoori, Jörg Henkel. date 2023: 1-2 [doi]

MonTM: Monitoring-Based Thermal Management for Mixed-Criticality SystemsMarcel Mettler, Martin Rapp, Heba Khdr, Daniel Mueller-Gritschneder, Jörg Henkel, Ulf Schlichtmann. hipeac 2023: [doi]

ANV-PUF: Machine-Learning-Resilient NVM-Based Arbiter PUFHassan Nassar, Lars Bauer, Jörg Henkel. tecs, 22(5s), October 2023. [doi]

Effects of Runtime Reconfiguration on PUFs Implemented as FPGA-Based AcceleratorsHassan Nassar, Lars Bauer, Jörg Henkel. esl, 15(4):174-177, December 2023. [doi]

Late Breaking Results: Configurable Ring Oscillators as a Side-Channel CountermeasureHassan Nassar, Simon Pankner, Lars Bauer, Jörg Henkel. dac 2023: 1-2 [doi]

Supporting Dynamic Control-Flow Execution for Runtime Reconfigurable ProcessorsHassan Nassar, Rafik Youssef, Lars Bauer, Jörg Henkel. icm2 2023: 184-189 [doi]

Differentiable Slimming for Memory-Efficient TransformersNikolay Penkov, Konstantinos Balaskas, Martin Rapp, Jörg Henkel. esl, 15(4):186-189, December 2023. [doi]

Aggregating Capacity in FL through Successive Layer Training for Computationally-Constrained DevicesKilian Pfeiffer, Ramin Khalili, Jörg Henkel. nips 2023: [doi]

CoCoFL: Communication- and Computation-Aware Federated Learning via Partial NN Freezing and QuantizationKilian Pfeiffer, Martin Rapp, Ramin Khalili, Jörg Henkel. tmlr, 2023, 2023. [doi]

Federated Learning for Computationally Constrained Heterogeneous Devices: A SurveyKilian Pfeiffer, Martin Rapp, Ramin Khalili, Jörg Henkel. ACM Comput. Surv., 55(14s), 2023. [doi]

Swift-CNN: Leveraging PCM Memory's Fast Write Mode to Accelerate CNNsLokesh Siddhu, Hassan Nassar, Lars Bauer, Christian Hakert, Nils Hölscher, Jian-Jia Chen, Jörg Henkel. esl, 15(4):234-237, December 2023. [doi]

Machine Learning-based Thermally-Safe Cache Contention Mitigation in Clustered ManycoresMohammed Bakr Sikal, Heba Khdr, Martin Rapp, Jörg Henkel. dac 2023: 1-6 [doi]

ReLIEF: A Reinforcement-Learning-Based Real-Time Task Assignment Strategy in Emerging Fault-Tolerant Fog ComputingRoozbeh Siyadatzadeh, Fatemeh Mehrafrooz, Mohsen Ansari, Bardia Safaei, Muhammad Shafique 0001, Jörg Henkel, Alireza Ejlali. iotj, 10(12):10752-10763, june15 2023. [doi]

Targeting DNN Inference Via Efficient Utilization of Heterogeneous Precision DNN AcceleratorsOurania Spantidi, Georgios Zervakis 0001, Sami Alsalamin, Isai Roman-Ballesteros, Jörg Henkel, Hussam Amrouch, Iraklis Anagnostopoulos. tetc, 11(1):112-125, January - March 2023. [doi]

Golden-Free Robust Age Estimation to Triage Recycled ICsVirinchi Roy Surabhi, Prashanth Krishnamurthy, Hussam Amrouch, Jörg Henkel, Ramesh Karri, Farshad Khorrami. tcad, 42(9):2839-2851, September 2023. [doi]

Massively Parallel Circuit Setup in GPU-SPICEVictor M. van Santen, Fu Lam Florian Diep, Jörg Henkel, Hussam Amrouch. TC, 72(8):2127-2138, August 2023. [doi]

2022

Probability-Driven Evaluation of Lower-Part Approximation AddersTanfer Alan, Jörg Henkel. tcasII, 69(1):204-208, 2022. [doi]

Power-Aware Checkpointing for Multicore Embedded SystemsMohsen Ansari, Sepideh Safari, Heba Khdr, Pourya Gohari-Nazari, Jörg Henkel, Alireza Ejlali, Shaahin Hessabi. tpds, 33(10):4410-4424, 2022. [doi]

Thermal-Aware Standby-Sparing Technique on Heterogeneous Real-Time Embedded SystemsMohsen Ansari, Sepideh Safari, Sina Yari-Karin, Pourya Gohari-Nazari, Heba Khdr, Muhammad Shafique 0001, Jörg Henkel, Alireza Ejlali. tetc, 10(4):1883-1897, 2022. [doi]

Cross-Layer Approximation For Printed Machine Learning CircuitsGiorgos Armeniakos, Georgios Zervakis 0001, Dimitrios Soudris, Mehdi B. Tahoori, Jörg Henkel. date 2022: 190-195 [doi]

Approximate Decision Trees For Machine Learning Classification on Tiny Printed CircuitsKonstantinos Balaskas, Georgios Zervakis 0001, Kostas Siozios, Mehdi B. Tahoori, Jörg Henkel. isqed 2022: 1-6 [doi]

Report on the Design Automation Conference (DAC 2021)Harry Foster, Rob Oshana, Jörg Henkel, Vivek De. dt, 39(1):97-99, 2022. [doi]

Designing Autonomous SystemsJörg Henkel. dt, 39(1):4, 2022. [doi]

Approximate Computing and the Efficient Machine Learning ExpeditionJörg Henkel, Hai Li, Anand Raghunathan, Mehdi B. Tahoori, Swagath Venkataramani, Xiaoxuan Yang, Georgios Zervakis 0001. iccad 2022: 80 [doi]

An FPGA-based Approach to Evaluate Thermal and Resource Management Strategies of Many-core ProcessorsMarcel Mettler, Martin Rapp, Heba Khdr, Daniel Mueller-Gritschneder, Jörg Henkel, Ulf Schlichtmann. taco, 19(3), 2022. [doi]

CaPUF: Cascaded PUF Structure for Machine Learning ResiliencyHassan Nassar, Lars Bauer, Jörg Henkel. tcad, 41(11):4349-4360, 2022. [doi]

DISTREAL: Distributed Resource-Aware Learning in Heterogeneous SystemsMartin Rapp, Ramin Khalili, Kilian Pfeiffer, Jörg Henkel. AAAI 2022: 8062-8071 [doi]

NPU-Accelerated Imitation Learning for Thermal- and QoS-Aware Optimization of Heterogeneous Multi-CoresMartin Rapp, Nikita Krohmer, Heba Khdr, Jörg Henkel. date 2022: 584-587 [doi]

MLCAD: A Survey of Research in Machine Learning for CAD Keynote PaperMartin Rapp, Hussam Amrouch, Yibo Lin, Bei Yu 0001, David Z. Pan, Marilyn Wolf, Jörg Henkel. tcad, 41(10):3162-3181, 2022. [doi]

FN-CACTI: Advanced CACTI for FinFET and NC-FinFET TechnologiesDivya Praneetha Ravipati, Rajesh Kedia, Victor M. van Santen, Jörg Henkel, Preeti Ranjan Panda, Hussam Amrouch. tvlsi, 30(3):339-352, 2022. [doi]

Introduction and Evaluation of Attachability for Mobile IoT Routing Protocols With Markov Chain AnalysisBardia Safaei, Hossein Taghizade, Amir Mahdi Hosseini Monazzah, Kimia Talaei Khoosani, Parham Sadeghi, Ali Asghar Mohammadsalehi, Jörg Henkel, Alireza Ejlali. tnsm, 19(3):3220-3238, 2022. [doi]

TherMa-MiCs: Thermal-Aware Scheduling for Fault-Tolerant Mixed-Criticality SystemsSepideh Safari, Heba Khdr, Pourya Gohari-Nazari, Mohsen Ansari, Shaahin Hessabi, Jörg Henkel. tpds, 33(7):1678-1694, 2022. [doi]

A Survey of Fault-Tolerance Techniques for Embedded Systems From the Perspective of Power, Energy, and Thermal IssuesSepideh Safari, Mohsen Ansari, Heba Khdr, Pourya Gohari-Nazari, Sina Yari-Karin, Amir Yeganeh-Khaksar, Shaahin Hessabi, Alireza Ejlali, Jörg Henkel. access, 10:12229-12251, 2022. [doi]

ARMOR: A Reliable and Mobility-Aware RPL for Mobile Internet of Things InfrastructuresAli Asghar Mohammad Salehi, Bardia Safaei, Amir Mahdi Hosseini Monazzah, Lars Bauer, Jörg Henkel, Alireza Ejlali. iotj, 9(2):1503-1516, 2022. [doi]

CoMeT: An Integrated Interval Thermal Simulation Toolchain for 2D, 2.5D, and 3D Processor-Memory SystemsLokesh Siddhu, Rajesh Kedia, Shailja Pandey, Martin Rapp, Anuj Pathania, Jörg Henkel, Preeti Ranjan Panda. taco, 19(3), 2022. [doi]

Thermal- and Cache-Aware Resource Management based on ML- Driven Cache Contention PredictionMohammed Bakr Sikal, Heba Khdr, Martin Rapp, Jörg Henkel. date 2022: 1384-1388 [doi]

Energy-Efficient DNN Inference on Approximate Accelerators Through Formal Property ExplorationOurania Spantidi, Georgios Zervakis 0001, Iraklis Anagnostopoulos, Jörg Henkel. tcad, 41(11):3838-3849, 2022. [doi]

Trojan Detection in Embedded Systems With FinFET TechnologyVirinchi Roy Surabhi, Prashanth Krishnamurthy, Hussam Amrouch, Jörg Henkel, Ramesh Karri, Farshad Khorrami. TC, 71(11):3061-3071, 2022. [doi]

FeFET-Based Binarized Neural Networks Under Temperature-Dependent Bit ErrorsMikail Yayla, Sebastian Buschjäger, Aniket Gupta, Jian-Jia Chen, Jörg Henkel, Katharina Morik, Kuan-Hsun Chen, Hussam Amrouch. TC, 71(7):1681-1695, 2022. [doi]

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