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 * Dr Abdulrahman Kerim
 * Publications
 * Talks
 * Teaching
 * Work
 * Portfolio
 * Blog Posts
 * CV
 * Awards


DR ABDULRAHMAN KERIM

Computer Vision Researcher

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 * London, United Kingdom
 * ResearchGate
 * Twitter
 * LinkedIn
 * Instagram
 * Github
 * Google Scholar
 * ORCID


ABOUT ME

Dr Kerim is a researcher, book author, and lecturer in computer vision and
machine learning. He worked on visual object tracking, semantic segmentation,
and video stabilization problems. He is a fellow of the British Machine Vision
Association (BMVA). He is currently interested in explainable machine learning
(XML).

Throughout his academic journey, he published nine research outputs📚,
contributing to the advancement of the machine learning field. His commitment to
educational excellence extends beyond the lecture theater; he contributed to the
curriculum design of three distinct courses🎓. He taught over 10 modules across
four universities, showcasing adaptability, and a steadfast dedication to
fostering a meaningful and impactful learning experience.

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NEWS!

 * [2024] I am starting my new role as Research Fellow in XML at University of
   Surrey!
 * [2024] My paper titled “Leveraging Synthetic Data to Learn Video
   Stabilization Under Adverse Conditions” was accepted to WACV!

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 * [2023] My book Synthetic Data for Machine Learning was just published!
 * [2023] My research funding application for Developing Synthetic Data
   Simulator for Computer Vision was successful (UCA)!
 * [2023] Conference co-chair of Creative AI Research Conference 2023.
 * [2023] Awarded the Associate Fellowship of the Higher Education Academy
   (AFHEA).
 * [2023] Participating in the Artificial Intelligence and Games Summer School
   in Cambridge this summer.
 * [2023] Writing Synthetic Data for Machine Learning Book with Packt!

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 * [2022] Our work on Semantic Segmentation under Adverse Conditions using
   Synthetic Data was accepted to BMVC 2022.
 * [2022] I have been accepted to attend Oxford Machine Learning Summer School
   for both ML Health and ML Finance tracks, in-person.
 * [2022] I am going to give a seminar on leveraging synthetic data for computer
   vision at the Laboratory of Computer Vision & Robotics - VeRLab, Brazil.
 * [2022] Our work Mobile Games Success and Failure: Mining the Hidden Factors
   was accepted by Neural Computing and Applications Journal.
 * [2022] I started my role as a reviewer for the American Journal of Artificial
   Intelligence (AJAI).


 * Follow:
 * GitHub

© 2024 a.kerim@lancaster.ac.uk