| 2025 | CBMS | CLIP-RL: Surgical Scene Segmentation Using Contrastive Language-Vision Pretraining & Reinforcement Learning. | Fatimaelzahraa Ali Ahmed, Muhammad Arsalan, Abdulaziz Al-Ali, Khalid Al-Jalham, Shidin Balakrishnan |
| 2023 | DICTA | Feature Enhancer Segmentation Network (FES-Net)for Vessel Segmentation. | Tariq Mahmood Khan, Muhammad Arsalan, Shahzaib Iqbal, Imran Razzak, Erik Meijering |
| 2022 | ICMLA | Contactless Low Power Air-Writing Based on FMCW Radar Networks Using Spiking Neural Networks. | Muhammad Arsalan, Tao Zheng, Avik Santra, Vadim Issakov |
| 2022 | TrustCom | Energy-Efficient Privacy-Preserving Time-Series Forecasting on User Health Data Streams. | Muhammad Arsalan, Davide Di Matteo, Sana Imtiaz, Zainab Abbas, Vladimir Vlassov, Vadim Issakov |
| 2021 | ETFA | Radar-Based Gesture Recognition System using Spiking Neural Network. | Muhammad Arsalan, Avik Santra, Mateusz Chmurski, Moamen El-Masry, Gianfranco Mauro, Vadim Issakov |
| 2021 | ICANN | One-Shot Meta-learning for Radar-Based Gesture Sequences Recognition. | Gianfranco Mauro, Mateusz Chmurski, Muhammad Arsalan, Mariusz Zubert, Vadim Issakov |
| 2021 | ICCCN | Synthetic and Private Smart Health Care Data Generation using GANs. | Sana Imtiaz, Muhammad Arsalan, Vladimir Vlassov, Ramin Sadre |
| 2021 | ISPA | Machine Learning with Reconfigurable Privacy on Resource-Limited Computing Devices. | Sana Imtiaz, Zannatun N. Tania, Hassan Nazeer Chaudhry, Muhammad Arsalan, Ramin Sadre, Vladimir Vlassov |
| 2020 | ICMLA | Radar Trajectory-based Air-Writing Recognition using Temporal Convolutional Network. | Muhammad Arsalan, Avik Santra, Vadim Issakov |
| 2020 | ICPR | Air-Writing with Sparse Network of Radars using Spatio-Temporal Learning. | Muhammad Arsalan, Avik Santra, Kay Bierzynski, Vadim Issakov |
| 2020 | IJCNN | Shallow Vessel Segmentation Network for Automatic Retinal Vessel Segmentation. | Tariq Mahmood Khan, Faizan Abdullah, Syed Saud Naqvi, Muhammad Arsalan, Muhamamd Aurangzeb Khan |
| 2020 | IJCNN | Exploiting Residual Edge Information in Deep Fully Convolutional Neural Networks For Retinal Vessel Segmentation. | Tariq Mahmood Khan, Syed Saud Naqvi, Muhammad Arsalan, Muhamamd Aurangzeb Khan, Haroon Ahmed Khan, Muhammad Adnan Haider |
| 2020 | SSPR | Residual Multiscale Full Convolutional Network (RM-FCN) for High Resolution Semantic Segmentation of Retinal Vasculature. | Tariq Mahmood Khan, Antonio Robles-Kelly, Syed Saud Naqvi, Muhammad Arsalan |
| 2014 | IECON | Performance analysis of downhole acoustic communication in multiphase flow. | Talha J. Ahmad, Mohamed Noui-Mehidi, Muhammad Arsalan |
| 2012 | FIT | Comparative Analysis of High Speed and Low Area Architectures of Blake SHA-3 Candidate on FPGA. | Muhammad Arsalan, Arshad Aziz |
| 2010 | GECCO | Intelligent threshold selection for reversible watermarking of medical images. | Muhammad Arsalan, Sana Ambreen Malik, Asifullah Khan |
| 2007 | ISCAS | Asynchronous Adiabatic Logic. | Muhammad Arsalan, Maitham Shams |
| 2005 | VLSID | Charge-Recovery Power Clock Generators for Adiabatic Logic Circuits. | Muhammad Arsalan, Maitham Shams |