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.

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!

• [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!

• [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).