Dildar Shah is a Lecturer at the School of Computer and Information Technology (SCIT), Beaconhouse National University (BNU), Lahore. He is a mathematician and applied researcher specializing in optimization-based machine learning, model compression, and efficient deep learning for embedded and edge systems.
He holds a Master’s degree in Applied Mathematics from Ghulam Ishaq Khan Institute (GIKI) and has a strong background in mathematical optimization, signal processing, and probabilistic modeling. His research focuses on train-time network pruning, compression-aware training, and developing resource-efficient deep learning models.
He is proficient in Python-based ML frameworks such as PyTorch and TensorFlow and actively works at the intersection of mathematics and scalable AI systems.
