SNNs Model Analyzing and Visualizing Experimentation Using RAVSim. - Sanaullah; Shamini Koravuna; Ulrich Rückert 001; Thorsten Jungeblut (EANN, 2022)

Streamlined Training of GCN for Node Classification with Automatic Loss Function and Optimizer Selection. - Sanaullah; Shamini Koravuna; Ulrich Rückert 001; Thorsten Jungeblut (EANN, 2023)

Digit Recognition Using Spiking Neural Networks on FPGA. - Shamini Koravuna; Sanaullah; Thorsten Jungeblut; Ulrich Rückert 001 (IWANN (1), 2023)

Exploring spiking neural networks: a comprehensive analysis of mathematical models and applications. - Sanaullah; Shamini Koravuna; Ulrich Rückert 001; Thorsten Jungeblut (Frontiers Comput. Neurosci., 2023)

Evaluation of Spiking Neural Nets-Based Image Classification Using the Runtime Simulator RAVSim. - Shamini Koravuna; Ulrich Rückert 001; Thorsten Jungeblut (Int. J. Neural Syst., 2023)

A Spike Vision Approach for Multi-object Detection and Generating Dataset Using Multi-core Architecture on Edge Device. - Sanaullah; Shamini Koravuna; Ulrich Rückert 001; Thorsten Jungeblut (EANN, 2024)

Design-Space Exploration of SNN Models using Application-Specific Multi-Core Architectures. - Sanaullah; Shamini Koravuna; Ulrich Rückert 001; Thorsten Jungeblut (CoRR, 2024)