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Biography



I am a Teaching Assistant (since Nov. 2022) in the Department of Computer Engineering at King Saud University (KSU) and a Graduate Student (since Jan. 2025) at Carnegie Mellon University (CMU). My current research lies in Signal Processing, Computer Vision, Machine Learning and Deep Learning. In particular, studying the distribution shift in machine learning.

Before joining KSU, I worked in places at the intersection between the academia and the industry starting at King Abdullah International Medical Research Center (KAIMRC) in the Imaging Research Department.

Thereafter, I joined the National Center for AI at SDAIA where I worked in the R&D and there where I awarded the SDAIA-KAUST Data Science and Artificial Intelligence Fellowship. For the later, I joined the Visual Computing Center (VCC) as a Visiting Research Engineer working under the supervision of Prof. Peter Wonka.

I obtained my B.Sc. in Computer Engineer with First Class Honors from the College of Computer and Information Sciences, King Saud University, Saudi Arabia, in July 2020. During my B.Sc., I Awarded with the Prize of the Dean’s List of Outstanding Students (2018 / 2019).

Kindly, contact me for a detailed Resume.

Education





Carnegie Mellon University

M.Sc., Electrical & Computer Engineering

Jan. 2025 - Present







King Saud University

B.Sc., Computer Engineering

Aug. 2015 - Jul. 2020

Graduation Project: "Detecting Abnormal Traffic Patterns in an IoT Tracking System," which designs and implements a low-cost IoT tracking system using an embedded device to collect the data to be processed on a cloud server to detect abnormal routes. Generally, the proposed system has three stages: (1) a light-weight and low-cost microcontroller that frequently collects its GPS data in terms of longitude and latitude and sends its status reports, (2) the cloud server will study and learn its traffic patterns and regular routes from these reports, (3) and a proposed approach to detect any non-recurrent traffic anomaly and let the server applies this approach to send automated alarm notifications to the user in the cases of traffic anomaly.

Experience




Research Intern
McGill University
Aug. 2024 - Dec. 2024

- Remotely volunteer for doing research activities supervised by Prof. Jeremy Cooperstock at the Shared Reality Lab;
- Conducting research on vision models for non-ideal imaging conditions and Scene Understanding;
- Designing a system to be utilized by Visually Impaired Persons;






Teaching Assistant
King Saud University
Nov. 2022 - Dec. 2024

- Assisting in teaching digital logic design courses at the Department of Computer Engineering;
- Conducting research in the field of computer vision for biometrics applications;
- Serving as a lab coordinator and instructor at the logic design laboratories (I and II);






Research Engineer
KAUST (King Abdullah University of Science and Technology)
Jun. 2022 - Dec. 2022

- Nominated to enroll in a Fellowship Program Between KAUST and SDAIA;
- Join the Visual Computing Center and work under the supervision of Professor. Peter Wonka;
- Conducting research in the field of computer vision, in particular, generative models;
- Proposing a domain generalization methodology to develop a robust AI model;






Artificial Intelligence Engineer
SDAIA - National Center for Artificial Intelligence (NCAI)
Aug. 2021 - Oct. 2022

- Serving as an AI Engineer at the R&D sector, in particular, in the computer vision group;
- Working on developing robust models to encounter the domain distribution shifts;
- Proposing an image enhancement approaches for noisy captured images;
- Conducting research in the areas of classification loss functions for computer vision applications;






Deep Learning Software Developer (Programmer Role)
King Abdullah International Medical Research Center (KAIMRC)
Nov. 2020 - Jul. 2021

- Working in the Imaging Research Department as a programmer;
- Conducting research in the areas of medical imaging for classification and segmentation purposes;
- Serving as a developer for screening models for a medical imaging modality, 2D retina imaging;






Deep Learning Software Developer (Trainee)
King Abdullah International Medical Research Center (KAIMRC)
Jun. 2020 - Aug. 2020

- Summer internship as a requirement for the undergraduate study;
- Trained on fundamental research skills such as academic writing and literature review principles;
- Working on programming a classification model for an eye disease using 2D retina images;

Publications



[ Google Scholar Profile ]



2023

Cov Loss: Covariance-Based Loss for Deep Face Recognition
Ibrahim Alkanhal, Abdullah Almansour , Lamia Alsalloom, Raied Aljadaany, Marios Savvides
ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)





2022

Peripapillary atrophy classification using CNN deep learning for glaucoma screening
Abdullah Almansour , Mohammed Alawad, Abdulrhman Aljouie, Hessa Almatar, Waseem Qureshi, Balsam Alabdulkader, Norah Alkanhal, Wadood Abdul, Mansour Almufarrej, Shiji Gangadharan, Tariq Aldebasi, Barrak Alsomaie, Ahmed Almazroa
Plos one

Combining biomedical knowledge graphs and text to improve predictions for drug-target interactions and drug-indications
Mona Alshahrani, Abdullah Almansour , Asma Alkhaldi, Maha A Thafar, Mahmut Uludag, Magbubah Essack, Robert Hoehndorf
PeerJ

Contact



Email (Personal): abdullah.a.almans@gmail.com

Email (Work): aalmansour2@ksu.edu.sa or aalmanso@andrew.cmu.edu

[ Linkedin Profile ]