Nikan Doosti

@NIkronic

Graduate Researcher | Machine Learning, Digital Fabrication | Ex-Founder | Mentor | Aligning with RNGs

Helsinki, Finland

nikronic.com

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Nikan Doosti
@NIkronic
Jul 9
I had such an amazing time at the Symposium on Geometry Processing (#SGP26) conference 😍 held in Bern-Switzerland, especially being among a super welcoming and inclusive community 🤗, that after a decade I decided to change the profile picture!
Nikan Doosti
@NIkronic
Jun 12
Had an discussion with the legend @jaakkolehtinen 😍, and I felt amazingly represented and understood by him just in a short meeting! That's why he has won multiple School of Science Teaching awards!
Nikan Doosti
@NIkronic
Jun 10
An awesome event given my passion for Graphics4Science/Eng by pushing explicit representation, here geometry!
Lennart Bastian
@lennart_bastian
Jun 9
Inspired by #CVPR2026? 📣 Announcing: Call For Papers on Geometric Intelligence @ ECCV26! geo-int.github.io Submission deadline: 13th of July 👀 Computer vision and AI are increasingly playing a role in scientific discovery. 1/n
Nikan Doosti
@NIkronic
Jun 8
My entire timeline is about @CVPR talks/papers/highlights/etc, and as a person with FOMO, I'm in pain while browsing the articles. :) Hoping for the future...
Nikan Doosti
@NIkronic
May 27
During my master's thesis, for a period I had only access to my $200 student laptop, hence couldn't run any big simulation or training. The result was that I independently introduced a Fourier feature upscaling for topology optimization which was included in the paper I published
kache
@yacineMTB
May 26
if you're doing AI research at all; I recommend doing the "ETH zurich" route Train models that use a single GPU. Make sure that it takes less than a minute to train models. Pufferlib is a great example. The more models you train the more you learn