Migration of long-running Tasks between Reconfigurable Resources using Virtualization. - Oliver Knodel; Paul R. Genssler; Rainer G. Spallek (SIGARCH Comput. Archit. News, 2016)

A New Level of Trusted Cloud Computing - Virtualized Reconfigurable Resources in a Security-First Architecture. - Paul R. Genßler; Oliver Knodel; Rainer G. Spallek (GI-Jahrestagung, 2017)

Impact of Self-Heating on Performance, Power and Reliability in FinFET Technology. - Victor M. van Santen; Paul R. Genssler; Om Prakash 007; Simon Thomann; Jörg Henkel; Hussam Amrouch (ASP-DAC, 2020)

BTI and HCD Degradation in a Complete 32 × 64 bit SRAM Array - including Sense Amplifiers and Write Drivers - under Processor Activity. - Victor M. van Santen; Simon Thomann; Chaitanya Pasupuleti; Paul R. Genssler; Narendra Gangwar; Uma Sharma; Jörg Henkel; Souvik Mahapatra; Hussam Amrouch (IRPS, 2020)

SoftWear: Software-Only In-Memory Wear-Leveling for Non-Volatile Main Memory. - Christian Hakert; Kuan-Hsun Chen; Paul R. Genssler; Georg von der Brüggen; Lars Bauer; Hussam Amrouch; Jian-Jia Chen; Jörg Henkel (CoRR, 2020)

Brain-Inspired Computing for Wafer Map Defect Pattern Classification. - Paul R. Genssler; Hussam Amrouch (ITC, 2021)

Design Close to the Edge for Advanced Technology using Machine Learning and Brain-Inspired Algorithms. - Hussam Amrouch; Florian Klemme; Paul R. Genssler (ASP-DAC, 2022)

Brain-Inspired Hyperdimensional Computing for Ultra-Efficient Edge AI. - Hussam Amrouch; Mohsen Imani; Xun Jiao; Yiannis Aloimonos; Cornelia Fermüller; Dehao Yuan; Dongning Ma; Hamza Errahmouni Barkam; Paul R. Genssler; Peter Sutor Jr. (CODES+ISSS, 2022)

Intelligent Methods for Test and Reliability. - Hussam Amrouch; Jens Anders; Steffen Becker 001; Maik Betka; Gerd Bleher; Peter Domanski; Nourhan Elhamawy; Thomas Ertl; Athanasios Gatzastras; Paul R. Genssler; Sebastian Hasler; Martin Heinrich; et al. (DATE, 2022)

Wafer Map Defect Classification Based on the Fusion of Pattern and Pixel Information. - Yiwen Liao; Raphaël Latty; Paul R. Genssler; Hussam Amrouch; Bin Yang 009 (ITC, 2022)

Cross-layer FeFET Reliability Modeling for Robust Hyperdimensional Computing. - Shubham Kumar; Swetaki Chatterjee; Simon Thomann; Paul R. Genssler; Yogesh Singh Chauhan; Hussam Amrouch (VLSI-SoC, 2022)

HW/SW Co-design for Reliable In-memory Brain-inspired Hyperdimensional Computing. - Simon Thomann; Paul R. Genssler; Hussam Amrouch (CoRR, 2022)

Brain-Inspired Computing for Circuit Reliability Characterization. - Paul R. Genssler; Hussam Amrouch (IEEE Trans. Computers, 2022)

On the Reliability of FeFET On-Chip Memory. - Paul R. Genssler; Victor M. van Santen; Jörg Henkel; Hussam Amrouch (IEEE Trans. Computers, 2022)

Software-Managed Read and Write Wear-Leveling for Non-Volatile Main Memory. - Christian Hakert; Kuan-Hsun Chen; Horst Schirmeier; Lars Bauer; Paul R. Genssler; Georg von der Brüggen; Hussam Amrouch; Jörg Henkel; Jian-Jia Chen (ACM Trans. Embed. Comput. Syst., 2022)

Technology/Algorithm Co-Design for Robust Brain-Inspired Hyperdimensional In-memory Computing. - Paul R. Genssler; Hussam Amrouch (ACSSC, 2023)

Hyperdimensional Computing for Robust and Efficient Unsupervised Learning. - Sanggeon Yun; Hamza Errahmouni Barkam; Paul R. Genssler; Hugo Latapie; Hussam Amrouch; Mohsen Imani (ACSSC, 2023)

Beyond von Neumann Era: Brain-Inspired Hyperdimensional Computing to the Rescue. - Hussam Amrouch; Paul R. Genssler; Mohsen Imani; Mariam Issa; Xun Jiao; Wegdan Mohammad; Gloria Sepanta; Ruixuan Wang (ASP-DAC, 2023)

Tutorial: The Synergy of Hyperdimensional and In-Memory Computing. - Paul R. Genssler; Simon Thomann; Hussam Amrouch (CODES+ISSS, 2023)

HDGIM: Hyperdimensional Genome Sequence Matching on Unreliable highly scaled FeFET. - Hamza Errahmouni Barkam; Sanggeon Yun; Paul R. Genssler; Zhuowen Zou; Che-Kai Liu; Hussam Amrouch; Mohsen Imani (DATE, 2023)

Learning-Oriented Reliability Improvement of Computing Systems From Transistor to Application Level. - Behnaz Ranjbar; Florian Klemme; Paul R. Genssler; Hussam Amrouch; Jinhyo Jung; Shail Dave; Hwisoo So; Kyongwoo Lee; Aviral Shrivastava; Ji-Yung Lin; Pieter Weckx; Subrat Mishra; et al. (DATE, 2023)

Challenges in Machine Learning Techniques to Estimate Reliability from Transistors to Circuits. - Victor M. van Santen; Florian Klemme; Paul R. Genssler; Hussam Amrouch (DFT, 2023)

Stress-Resiliency of AI Implementations on FPGAs. - Jonas Krautter; Paul R. Genssler; Gloria Sepanta; Hussam Amrouch; Mehdi B. Tahoori (FPL, 2023)

Frontiers in AI Acceleration: From Approximate Computing to FeFET Monolithic 3D Integration. - Shubham Kumar; Paul R. Genssler; Somaya Mansour; Yogesh Singh Chauhan; Hussam Amrouch (VLSI-SoC, 2023)

Brain-Inspired Hyperdimensional Computing: How Thermal-Friendly for Edge Computing? - Paul R. Genssler; Austin Vas; Hussam Amrouch (IEEE Embed. Syst. Lett., 2023)

FDSOI-Based Analog Computing for Ultra-Efficient Hamming Distance Similarity Calculation. - Albi Mema; Simon Thomann; Paul R. Genssler; Hussam Amrouch (IEEE Trans. Circuits Syst. I Regul. Pap., 2023)

HW/SW Co-Design for Reliable TCAM- Based In-Memory Brain-Inspired Hyperdimensional Computing. - Simon Thomann; Paul R. Genssler; Hussam Amrouch (IEEE Trans. Computers, 2023)

Modeling and Predicting Transistor Aging Under Workload Dependency Using Machine Learning. - Paul R. Genssler; Hamza Errahmouni Barkam; Karthik Pandaram; Mohsen Imani; Hussam Amrouch (IEEE Trans. Circuits Syst. I Regul. Pap., 2023)

HDCircuit: Brain-Inspired HyperDimensional Computing for Circuit Recognition. - Paul R. Genssler; Lilas Alrahis; Ozgur Sinanoglu; Hussam Amrouch (DATE, 2024)

DropHD: Technology/Algorithm Co-Design for Reliable Energy-Efficient NVM-Based Hyper-Dimensional Computing Under Voltage Scaling. - Paul R. Genssler; Mahta Mayahinia; Simon Thomann; Mehdi B. Tahoori; Hussam Amrouch (DATE, 2024)

Frontiers in Edge AI with RISC-V: Hyperdimensional Computing vs. Quantized Neural Networks. - Paul R. Genssler; Sandy A. Wasif; Miran Wael; Rodion Novkin; Hussam Amrouch (DATE, 2024)

Algorithm to Technology Co-Optimization for CiM-Based Hyperdimensional Computing. - Mahta Mayahinia; Simon Thomann; Paul R. Genssler; Christopher Münch; Hussam Amrouch; Mehdi B. Tahoori (DATE, 2024)

CircuitHD: Brain-Inspired Hyperdimensional Computing for Circuit Recognition. - Paul R. Genssler; Lilas Alrahis; Ozgur Sinanoglu; Hussam Amrouch (IEEE Access, 2024)

In-Memory Acceleration of Hyperdimensional Genome Matching on Unreliable Emerging Technologies. - Hamza Errahmouni Barkam; Sanggeon Yun; Paul R. Genssler; Che-Kai Liu; Zhuowen Zou; Hussam Amrouch; Mohsen Imani (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

WaSSaBi: Wafer Selection With Self-Supervised Representations and Brain-Inspired Active Learning. - Karthik Pandaram; Paul R. Genssler; Hussam Amrouch (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

Spike-RISC: Algorithm/ISA Co-Optimization for Efficient SNNs on RISC-V. - Ipek Akdeniz; Sandy A. Wasif; Paul R. Genssler; Hussam Amrouch (IEEE Access, 2025)