Alex Haridis

I have twice taught technical recitations for 6.034 Artificial Intelligence (Fall 2016/2018), one of the largest undergraduate classes in Computer Science at MIT, taught by Kimberle Koile, Randall Davis, Robert C. Berwick, and Patrick H. Winston. I have compiled all my teaching notes into nine (9) book-length chapters. They include: Search, Rule Chaining, Support-Vector Machines, Neural Networks, and other paradigms of machine intelligence and learning. These notes are currently distributed internally to students enrolled in the class. You may contact me if you want a copy. A lot of work was put into making the technical topics visually appealing. As a result, the manuscript is illustrated with over 150 original figures, diagrams, and tables.

I co-organized a workshop track at the 2021 Eurographics Workshop on 3D Object Retrieval.

The goal of this track was to investigate measures of 3D shape complexity, their correlations, and the possibility of using complexity measures for content based object retrieval. The results of this workshop are published in the journal Computers & Graphics.

Together with: M. Ferhat Arslan and Sibel Tari from Middle East Technical University and Paul L. Rosin from Cardiff University.

I started an arXiv page that I will be using as my main repository for immediate publishing of research in "preprint" format. Work that relates mathematics and computation to problems coming from areas of design and art are outside of the intended scope of arXiv, but not by much. In fact, one can find very interesting subject classification codes provided by the American Mathematical Society that target research articles broadly related to the intersection of mathematics with areas of design, architecture, and engineering. For research that relates design computation to computer graphics and geometric processing algorithms, the relevant codes are in the ACM Computing Classification System.