Hasnain Ahmad is a Lab Instructor at the School of Computer & Information Technology (SCIT), Beaconhouse National University (BNU). He holds a Bachelor of Science in Software Engineering from BNU and specializes in teaching Data Structures and Applied Physics. Through hands-on labs, he strengthens students’ understanding of algorithms, programming, and core electronics, designing structured exercises and ensuring alignment with industry-standard coding and problem-solving practices.
Along with teaching, Hasnain has contributed to impactful research in remote sensing and deep learning as an Undergraduate Research Assistant. His work includes detecting pollution sources using high-resolution satellite imagery, Vision Transformers, and Remote CLIP models. He developed a Multi-spectral Chimney Index and integrated results with Sentinel-5P data, leading to publications at NeurIPS 2024 and IGARSS 2025.
Beyond academia, Hasnain has gained practical industry experience through roles such as a remote intern at Valyrian Systems Inc., where he worked on Linux-based XDP optimizations for network performance. He has also supported learners as a Teaching Assistant for programming and data science courses and developed projects like Conversate, an AI-powered call center automation system. His technical expertise spans Python, Java, C++, TensorFlow, PyTorch, Docker, and modern web technologies.
