Ali Haider Rizvi is a final year student at Habib University pursuing a major in Computer Science and a minor in Electrical Engineering with a 100% merit scholarship. His research focuses on dynamically measuring cognitive load using various neurophysiological cues such as EEG, pupillary response, etc. His undergrad journey has exposed him to various academic and professional opportunities, including teaching assistantships, technical and research internships. Ali is passionate about competitive programming and Artificial Intelligence. He has competed in several competitions including Google Hash Code and ICPC, where he secured second place country-wide.
His capstone project is a novel architecture for computer vision problems, building up from Google DeepMind’s Perceiver, and his research question is to evaluate the performance of the Perceiver Architecture for classification when it is passed a latent representation of the image as an input. His hypothesis is that the architecture will be independent of the input data-representation (adaptable to not just images, but also point clouds, audios, videos, etc.) and will be several times resource optimized than its predecessor’s architecture, the Perceiver, while still maintaining comparable accuracy metrics.