Developing a Configurable Fault Tolerant Multicore System for Optimized Sensor Processing. - Markus Ulbricht 002; Rizwan Tariq Syed; Milos Krstic (DFT, 2019)

Fault Tolerant Platform for Communication and Distance Measurement in Highly Automated Driving. - Rizwan Tariq Syed; Markus Ulbricht 002; Wael A. Ahmad; Herman Jalli Ng; Vladica Sark; Raqibul Hasan; Milos Krstic (MECO, 2020)

FPGA-Based Acceleration of Convolutional Neural Network for Gesture Recognition Using mm-Wave FMCW Radar. - Rizwan Tariq Syed; Yanhua Zhao; Markus Ulbricht 002; Vladica Sark; Milos Krstic (NorCAS, 2022)

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)

Artificial Neural Network Accelerator for Classification of In-Field Conducted Noise in Integrated Circuits' DC Power Lines. - Fabian Vargas 001; Douglas Borba; Juliano Benfica; Rizwan Tariq Syed (IOLTS, 2023)

Towards Reconfigurable CNN Accelerator for FPGA Implementation. - Rizwan Tariq Syed; Marko S. Andjelkovic; Markus Ulbricht 002; Milos Krstic (IEEE Trans. Circuits Syst. II Express Briefs, 2023)

Aging and Soft Error Resilience in Reconfigurable CNN Accelerators Employing a Multi-Purpose On-Chip Sensor. - Rizwan Tariq Syed; Fabian Vargas 001; Marko S. Andjelkovic; Markus Ulbricht 002; Milos Krstic (LATS, 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)