Book-length Teaching Notes | MIT 6.034 Artificial Intelligence
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.
Workshop@Eurographics’21 ‘Quantifying Shape Complexity’
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.
New arXiv page
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.
I currently work as a Teaching Assistant in the Department of Architecture at MIT for introductory courses in design computation and advanced seminars for PhD students.
In the past, I’ve taught in the Department of Electrical Engineering and Computer Science at MIT, the Boston Architectural College, and the Aristotle University in Greece.
Courses on design computation, artificial intelligence, and architectural design that I've been involved in, at MIT and elsewhere.
Recommended readings, academic papers, and other resources for students and researchers.
I am a Doctoral candidate in Design and Computation at the Department of Architecture of the Massachusetts Institute of Technology. You can learn more about me and what I do from this Short Bio, a longer Curriculum Vitae, and the rest of the material in this homepage.
My current research focuses on:
- Pedagogy and Applications of Artificial Intelligence
- Shape Grammars and Geometric Computing
- Computational Learning and Interpretability
- Traditional and Contemporary Aesthetic Value Theory
My office is in Building 10 Room Number 303 at 77 Massachusetts Avenue in Cambridge, Massachusetts.