I am a PhD 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 am part of the diverse Image and Video Understanding Lab (IVUL) advised by Bernard Ghanem. I received my MSc degree in Computer Science from KAUST under Bernard Ghanem, and my undergraduate degree in both Computer Science and Mathematics from Cornell University. My main research interests are in video understanding and human activity detection. In general, I am 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
[2018-09-15] Attended ECCV 2018 in Munich, Germany and presented our two accepted papers.
[2018-07-03] 2 papers (Action Search and DETAD) accepted to ECCV 2018!!
[2018-07-14] Attended ICVSS 2018 summer school in Sicily.
[2018-06-22] Presented our DETAD work in the ActivityNet challenge workshop in CVPR18 (slides) and also released the code for the DETAD diagnosis tool.
[2018-06-01] I’ll attend CVPR18. Come check out our ActivityNet challenge workshop on Friday, June 22.
[2018-05-01] Started my PhD studies with Bernard Ghanem at KAUST. I’m continuing in the same research direction of video understanding and computer vision in general.
[2018-04-16] Got accepted to the ICVSS 2018 summer school in Sicily.
[2018-04-10] Successfully defended my Master’s thesis.
[2018-03-23] I’m co-organizing the third annual ActivityNet challenge in CVPR18, Salt Lake City (the challenge starts today). Check out our website. This year we have six exciting tasks and five novel action datasets.
[2017-12-15] Graduated with an MSc in Computer Science from KAUST.
[2017-05-01] I’m co-organizing the second annual ActivityNet challenge in CVPR17, Hawaii (the challenge starts today).
[2016-09-21] Started my Master’s degree in Computer Science at KAUST. I joined the multicultural and diverse Image and Video Understanding Lab (IVUL) advised by Bernard Ghanem.
[2016-06-06] Started a software development engineer internship at Amazon Corporate LLC, Seattle, WA with the Vendor Self Service, Business Advisor team.
[2016-05-29] Graduated from Cornell University with a Bachelors degree in both Computer Science and Mathematics.
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-organizer and Program Chair
This challenge is the 3rd annual installment of the ActivityNet Large-Scale Activity Recognition Challenge, which was first hosted during CVPR 2016. It focuses on the recognition of daily life, high-level, goal-oriented activities from user-generated videos as those found in internet video portals. It was a full-day workshop held in CVPR 2018 in Salt Lake, Utah and held six diverse challenge tasks. It attracted a large number of participants from across the world, and it was sponsored by several industrial partners including Google DeepMind, Facebook, and Google AI.
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 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.
One-on-one tutoring sessions for graduate students in computer science and mathematics courses 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.