My name is Konstantinos Alexandridis and I am a PhD graduate from King's College London, working in Computer Vision research. My academic supervisors were Dr Shan Luo and Dr Anh Nguyen and my thesis was about long-tailed image classification, object detection and instance segmentation. I did my masters in Electrical and Computer Engineering at Democritus University of Thrace. My academic interests are in computer vision and machine learning.

In my free time, I like playing chess, going to art galleries, playing board games, listening to music and doing sports. I also enjoy reading about the newest technologies, space, engineering and politics.

My PhD was on imbalanced image recognition. In imbalanced image recognition, data are not balanced or curated because they are gathered in large volumes and annotation of all object instances is intractable. In this scenario, the data may be long-tailed, which means that there may be objects that appear frequently in the dataset while there may be other that are unique and do not appear frequently. Under this realistic scenario, models trained with imbalanced data may have good performance in identifying the frequent objects of the dataset but they may fail to identify rare objects. My reseach aims to develop methods that tackle the long tailed recognition problem, so that the models can have better performance in detecting and recognising all the objects in the dataset.

I also serve as a reviewer for CVPR, ICCV and ECCV since 2022.

You can reach me either by email at alex.kostas@gmail.com or connect with me on Github or Linkedin. If you also like chess you can challenge me on lichess