Portrait Series
Object Portraits
This series of portraits was made just after the Word Portraits (further down this page).
Artists Made in in a style similar to their work (Da Vinci's cross-hatching, Warhol's evenly-spaced cans, and Van Gogh's flowing brush strokes)
Russian Nesting Doll made of Russian Nesting dolls made of the Russian word for Russian Nesting Doll (матрёшка)
Russian Bear
This Brown Bear (National Animal of Russia) and the Birch Trees in the background (National Tree of Russia) are made out of Russian stories (in Russian) and out of Tetris (the most popular video game to come out of Russia)
Word Portraits
The Word Portrait Series is a series of over 100 pieces Ben started in college as an 8 piece project for his senior exhibition. The original works were made in Microsoft Word, and then later works were made in Adobe Illustrator. The process involved making a text box and placing all the text to be used in the art in the box. Then, Ben would go line by line and put spaces between the words to create light. Going back would not be possible in most circumstances, so when a line was finished, it had to stay that way forever. Because of this, there are many failed pieces from when Ben was perfecting the process. On average, a word portrait would take around 12 hours. The longest a word portrait ever took to make is over 1000 hours (that one is in the "Large Projects" tab and was created after the initial Word Portrait series was finished).
Artists
The Beatles
Pop Culture
Multiple Figures
Masked Heroes
Johnny Depp
Real People
Family
Cover Spring 2020 Issue of New York University Alumni Magazine (Commissioned Work)
The Thinker
For this work, Ben made the Thinker using his usual process. This took around 20 hours. After that, he made a series of different backgrounds for the magazine's graphic designer to choose from. The Thinker and the background are both made of binary code (This was the Tech theme issue). The magazine title was also made of binary code.
Process of making the Thinker:
Various Backgrounds: