I’m an MSc student at King Abdullah University of Science and Technology (KAUST) in Saudi Arabia, currently focused on the development of novel computer vision techniques for video understanding. I’m part of the multicultural and diverse Image and Video Understanding Lab (IVUL) advised by Bernard Ghanem. I received my undergraduate degree in both Computer Science and Mathematics from Cornell University in 2016. My main research interests are in video understanding and human activity detection. In general, I’m interested in computer vision and machine learning.
MSc in Computer Science, 2018
King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia
BA with Double Major in Computer Science and Mathematics, 2016
Cornell University, Ithaca, NY, USA
Action Search is a novel Recurrent Neural Network approach that mimics the way humans spot targets in untrimmed video sequences. Experiments on the THUMOS14 dataset reveals that Action Search is not only able to explore the video efficiently (observing on average 17.3% of the video) but also accurately find human activities with 30.8% mAP, outperforming state-of-the-art methods.
FPEAnalysis software system automates floating-point error analysis of scientific computing code using the “1+ δ” error model. FPEAnalysis analyzes a piece of code, automatically reports any numerically unstable subexpressions, and gives insights for resolving these instabilities.
Gates App is a software-defined networking controller for the 28-switch network of Gates Hall, home of Cornell’s computer science department. Gates App employs the Frenetic Project libraries to perform Ethernet routing and host discovery for a dynamically changing network.
ParEx is an efficient shared-memory parallel implementation of explicit extrapolation methods for solving initial-value ordinary differential equations. Using a novel optimal load-balancing algorithm with adaptive step size and order control, ParEx outperforms state-of-the-art solvers on a range of test problems where the derivative evaluation is moderately expensive.
Co-founder and Computer Vision Researcher
A state-of- the-art activity-based, advertising-centric automated video understanding platform. Mantis utilizes faster-than- real-time activity and object detection techniques for a fine-grained video content categorization to achieve a content-aware ads placement on videos.
Co-organizer and Program Chair
The ActivityNet Challenge was a half-day workshop held in CVPR 2017 in Honolulu, Hawaii. The challenge attracted a large number of participants from across the world, and it was sponsored by several industrial partners including Google DeepMind, NVidia, Qualcomm, and Panasonic.
Software Development Engineer Intern
Team: Vendor Self Service, Business Advisor. Manager: Ram Yerramilli.
A fellowship awarded by the Saudi Ministry of Education for a graduate STEM research degree in the US. It includes full tuition support, monthly living allowance, and medical coverage. Receiving the fellowship is conditioned on an acceptance letter from a top-20 US university.
A fellowship which supports students for the duration of their graduate studies at KAUST. It includes full tuition support, monthly living allowance, housing, and medical coverage.
A scholarship awarded by the Saudi Arabian Cultural Mission to the United States. It covers the full tuition for an undergraduate STEM degree at a US university.
KGSP is a prestigious scholarship awarded by KAUST to a select group of Saudi students, allowing them to pursue undergraduate degrees in STEM fields in the US, and then complete their master’s degree at KAUST.
Math Explorers’ Club, Mathematics Department, Cornell University
The Math Explorers’ Club is an NSF-supported project that develops materials and activities to give middle school and high school students an experience of more advanced topics in mathematics.