Artificial Intelligence in Operating System. - Abdul Waheed; Sanaullah; Haider Ali Farid Khan (CSAI, 2019)

A novel computer aided diagnostic system for quantification of metabolites in brain cancer. - Sanaullah; Muhammad Arshad Javid; Saeed Ahmad Buzdar (Biomed. Signal Process. Control., 2021)

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)

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)

Poster: Selection of Optimal Neural Model using Spiking Neural Network for Edge Computing*. - Sanaullah; Kaushik Roy; Ulrich Rückert 001; Thorsten Jungeblut (ICDCS, 2024)

The Next-Gen Interactive Runtime Simulator for Neural Network Programming. - Sanaullah; Hasina Attaullah; Thorsten Jungeblut (Programming, 2024)

Encryption Techniques for Privacy-Preserving CNN Models: Performance and Practicality in Urban AI Applications. - Sanaullah; Hasina Attaullah; Thorsten Jungeblut (UrbanAI@SIGSPATIAL, 2024)

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

A Hybrid Spiking-Convolutional Neural Network Approach for Advancing Machine Learning Models. - Sanaullah; Kaushik Roy; Ulrich Rückert 001; Thorsten Jungeblut (CoRR, 2024)

RAVSim v2.0: Enhanced visualization and comparative analysis for neural network models. - Sanaullah; Axel Schneider; Joachim Waßmuth; Ulrich Rückert 001; Thorsten Jungeblut (SoftwareX, 2025)

Corrigendum to "RAVSim v2.0: Enhanced visualization and comparative analysis for neural network models" [SoftwareX volume 29, February 2025 Article Number: 102006]. - Sanaullah; Axel Schneider; Joachim Waßmuth; Ulrich Rückert 001; Thorsten Jungeblut (SoftwareX, 2025)