Design of SRAM-Based Low-Cost SEU Monitor for Self-Adaptive Multiprocessing Systems. - Junchao Chen 001; Marko S. Andjelkovic; Aleksandar Simevski; Yuanqing Li; Patryk Skoncej; Milos Krstic (DSD, 2019)

A Particle Detector Based on Pulse Stretching Inverter Chain. - Marko S. Andjelkovic; Mitko Veleski; Junchao Chen 001; Aleksandar Simevski; Milos Krstic; Rolf Kraemer (ICECS, 2019)

Hardware Accelerator Design with Supervised Machine Learning for Solar Particle Event Prediction. - Junchao Chen 001; Thomas Lange; Marko S. Andjelkovic; Aleksandar Simevski; Milos Krstic (DFT, 2020)

Design of Radiation Hardened RADFET Readout System for Space Applications. - Marko S. Andjelkovic; Aleksandar Simevski; Junchao Chen 001; Oliver Schrape; Zoran Stamenkovic; Milos Krstic; Stefan D. Ilic; Luka Spahic; Laza Kostic; Goran S. Ristic; Aleksandar Jaksic; Alberto J. Palma; et al. (DSD, 2020)

A Review of Particle Detectors for Space-Borne Self-Adaptive Fault-Tolerant Systems. - Marko S. Andjelkovic; Junchao Chen 001; Aleksandar Simevski; Zoran Stamenkovic; Milos Krstic; Rolf Kraemer (EWDTS, 2020)

Double cell upsets mitigation through triple modular redundancy. - Yuanqing Li; Anselm Breitenreiter; Marko S. Andjelkovic; Junchao Chen 001; Milan Babic; Milos Krstic (Microelectron. J., 2020)

A Tunable Single Event Transient Filter Based on Digitally Controlled Capacitive Delay Cells. - Marko S. Andjelkovic; Oliver Schrape; Anselm Breitenreiter; Junchao Chen 001; Milos Krstic (DFT, 2021)

Classification of Space Particle Events using Supervised Machine Learning Algorithms. - Rijad Saric; Junchao Chen 001; Milos Krstic; Edhem Custovic; Goran Panic; Jasmin Kevric; Dejan Jokic (DSAA, 2021)

Machine Learning Approach for Accelerating Simulation-based Fault Injection. - Li Lu; Junchao Chen 001; Anselm Breitenreiter; Oliver Schrape; Markus Ulbricht 002; Milos Krstic (NorCAS, 2021)

Monitoring of Particle Flux and LET Variations with Pulse Stretching Inverters. - Marko S. Andjelkovic; Junchao Chen 001; Aleksandar Simevski; Oliver Schrape; Milos Krstic; Rolf Kraemer (CoRR, 2021)

A Methodology for Identifying Critical Sequential Circuits with Graph Convolutional Networks. - Li Lu; Junchao Chen 001; Markus Ulbricht 002; Milos Krstic (ISVLSI, 2022)

Solar Particle Event and Single Event Upset Prediction from SRAM-Based Monitor and Supervised Machine Learning. - Junchao Chen 001; Thomas Lange; Marko S. Andjelkovic; Aleksandar Simevski; Lu Li; Milos Krstic (IEEE Trans. Emerg. Top. Comput., 2022)

A design concept for radiation hardened RADFET readout system for space applications. - Marko S. Andjelkovic; Aleksandar Simevski; Junchao Chen 001; Oliver Schrape; Zoran Stamenkovic; Milos Krstic; Stefan D. Ilic; Goran S. Ristic; Aleksandar Jaksic; Nikola Vasovic; Russell Duane; Alberto J. Palma; et al. (Microprocess. Microsystems, 2022)

Bits, Flips and RISCs. - Nicolas Gerlin; Endri Kaja; Fabian Vargas 001; Li Lu; Anselm Breitenreiter; Junchao Chen 001; Markus Ulbricht 002; Maribel Gomez; Ares Tahiraga; Sebastian Prebeck; Eyck Jentzsch; Milos Krstic; et al. (DDECS, 2023)

A Machine Learning-driven EDAC Method for Space-Application Memory. - Junchao Chen 001; Marko S. Andjelkovic; Milos Krstic; Fabian Luis Vargas 001 (DFT, 2023)

Towards a Smart Multi-Sensor Ionizing Radiation Monitoring System. - Marko S. Andjelkovic; Junchao Chen 001; Rizwan Tariq Syed; Fabian Vargas 001; Markus Ulbricht 002; Milos Krstic; Stefan D. Ilic; Milos Marjanovic; Sandra Veljkovic; Nikola Mitrovic; Danijel Dankovic; Goran S. Ristic; et al. (DSD, 2023)

PULP Fiction No More - Dependable PULP Systems for Space. - Markus Ulbricht 002; Yvan Tortorella; Michael Rogenmoser; Li Lu; Junchao Chen 001; Francesco Conti 001; Milos Krstic; Luca Benini (ETS, 2023)

Adaptive Lock-Step System for Resilient Multiprocessing Architectures. - Junchao Chen 001; Li Lu; Marko S. Andjelkovic; Markus Ulbricht 002; Milos Krstic (NorCAS, 2023)

A self-adaptive resilient method for implementing and managing the high-reliability processing system (Eine selbstadaptive belastbare Methode zum Implementieren und Verwalten von hochzuverlässigen Verarbeitungssysteme) - Junchao Chen 001 (2023)

Towards SEU Fault Propagation Prediction with Spatio-Temporal Graph Convolutional Networks. - Li Lu; Junchao Chen 001; Markus Ulbricht 002; Milos Krstic (DATE, 2024)

Area-Efficient Digital Design Using RRAM-CMOS Standard Cells. - Markus Fritscher; Max Uhlmann; Philip Ostrovskyy; Daniel Reiser; Junchao Chen 001; Markus Andreas Schubert; Carsten Schulze; Gerhard Kahmen; Dietmar Fey; Marc Reichenbach; Milos Krstic; Christian Wenger (ISVLSI, 2024)

Space Radiation Flux Driven Fault Injection for Evaluating Dynamic Mitigation Strategies. - Junchao Chen 001; Li Lu; Marko S. Andjelkovic; Fabian Luis Vargas 001; Milos Krstic (LATS, 2024)

Silicon Lifecycle Management Based on On-Chip Cross-Layer Sensing and Analytics for Space Applications. - Fabian Vargas 001; Milos Krstic; Marko S. Andjelkovic; Markus Ulbricht 002; Junchao Chen 001 (LATS, 2024)

Reliability Assessment of Large DNN Models: Trading Off Performance and Accuracy. - Junchao Chen 001; Giuseppe Esposito; Fernando Fernandes dos Santos; Juan-David Guerrero-Balaguera; Angeliki Kritikakou; Milos Krstic; Robert Limas Sierra; Josie E. Rodriguez Condia; Matteo Sonza Reorda; Marcello Traiola; Alessandro Veronesi (VLSI-SoC, 2024)

FPGA Implementation of a Fault-Tolerant Fused and Branched CNN Accelerator With Reconfigurable Capabilities. - Rizwan Tariq Syed; Yanhua Zhao; Junchao Chen 001; Marko S. Andjelkovic; Markus Ulbricht 002; Milos Krstic (IEEE Access, 2024)

Toward Critical Flip-Flop Identification for Soft-Error Tolerance With Graph Neural Networks. - Li Lu; Junchao Chen 001; Markus Ulbricht 002; Milos Krstic (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2024)

Machine Learning Methodologies to Predict the Results of Simulation-Based Fault Injection. - Li Lu; Junchao Chen 001; Markus Ulbricht 002; Milos Krstic (IEEE Trans. Circuits Syst. I Regul. Pap., 2024)

Design and analysis of an adaptive radiation resilient RRAM subsystem for processing systems in satellites. - Daniel Reiser; Junchao Chen 001; Johannes Knödtel; Andrea Baroni; Milos Krstic; Marc Reichenbach (Des. Autom. Embed. Syst., 2024)

Prediction of Single Event Transient Propagation Using Machine Learning Models. - Marko S. Andjelkovic; Junchao Chen 001; Jelisaveta Aleksic; Vishnu Padmakumar; Milos Marjanovic; Nikolaos Zazatis; Trupti Ranjan Lenka; Danijel Dankovic; Christos P. Sotiriou; Fabian Vargas 001 (SMACD, 2025)

Dynamic Fault Mitigation for Space Radiation Using Fault Injection and Machine Learning. - Junchao Chen 001; Li Lu; Marko S. Andjelkovic; Fabian Luis Vargas 001; Milos Krstic (J. Electron. Test., 2025)

Accelerate SEU Simulation-Based Fault Injection With Spatio-Temporal Graph Convolutional Networks. - Li Lu; Junchao Chen 001; Aneesh Balakrishnan; Markus Ulbricht 002; Milos Krstic (IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 2025)

RISC-V CPU Design Using RRAM-CMOS Standard Cells. - Markus Fritscher; Max Uhlmann; Philip Ostrovskyy; Daniel Reiser; Junchao Chen 001; Jianan Wen; Carsten Schulze; Gerhard Kahmen; Dietmar Fey; Marc Reichenbach; Milos Krstic; Christian Wenger (IEEE Trans. Very Large Scale Integr. Syst., 2025)