Dan Cireşan
Also known as Dan Claudiu Cireșan, Dan Ciresan
Dan Cireşan is an AI researcher whose GPU-based deep neural networks advanced visual recognition across handwriting, traffic signs, biological images and forest trails. During his 2008 PhD at Politehnica University of Timișoara, he used CUDA to develop convolutional networks. At IDSIA, DanNet helped win computer-vision contests, and his work advanced handwriting recognition, neuronal-membrane segmentation, mitosis detection and robot navigation. In 2017, he said he planned to leave IDSIA and focus on a startup.
- Works
- 45
- Citations
- 16,820
- h-index
- 24
Publication numbers from OpenAlex, as of 22 October 2026.
Timeline
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2008
PhD experiments with CUDA
In 2008, during the final year of his PhD at Politehnica University of Timișoara, he runs neural-network experiments on 20 computers for his thesis. That summer, he optimizes CUDA code that begins a large convolutional deep neural network.
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2011
DanNet wins vision contests
DanNet becomes the first CNN to win computer-vision contests in 2011. His IDSIA team reaches better-than-human performance in the German traffic-sign benchmark at IJCNN 2011.
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2011
Handwritten digit recognition
He coauthors Handwritten Digit Recognition with a Committee of Deep Neural Nets on GPUs, which reports a 0.31% error rate on MNIST using a committee of multilayer perceptrons.
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2012
Multi-column image classification
In 2012, he coauthors Multi-column Deep Neural Networks for Image Classification. The model reaches near-human performance on MNIST and outperforms humans by a factor of two on traffic-sign recognition.
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2012–2013
Segmenting neurons and mitoses
At IDSIA, he and Alessandro Giusti use deep neural networks to segment neuronal structures in electron-microscopy stacks; in 2012, their team reports the only pixel-error result to outperform a human observer. In 2013, their entry in the MICCAI mitosis-detection challenge scores 26.5% higher F1 than the second-best entry.
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2013
Chinese character classification
He and Jürgen Schmidhuber coauthor Multi-Column Deep Neural Networks for Offline Handwritten Chinese Character Classification, which reports best-known recognition rates on the ICDAR 2011 and 2013 handwriting competitions, approaching human performance.
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2015
Forest-trail visual perception
In 2015, he coauthors A Machine Learning Approach to Visual Perception of Forest Trails for Mobile Robots, a machine-learning study of how robots perceive forest trails.
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2017
A planned startup move
He says he will leave his position at IDSIA in February 2017 to focus on a startup.
Career
- Until 2017Dalle Molle Institute for Artificial Intelligence Studies
- 2011–2015University of Applied Sciences and Arts of Southern Switzerland
- 2010–2016Università della Svizzera italiana
Education
- 2008Politehnica University of TimisoaraPhD
Sources and credits
Photo: We have no published photo of Dan Cireşan yet. Send us a free-licensed photo.
- Dan Ciresan | CUDA Spotlight | NVIDIA
- 2011: DanNet triggers deep CNN revolution
- Dan Claudiu Cireșan
- Handwritten Digit Recognition with a Committee of Deep Neural Nets on GPUs
- Multi-column Deep Neural Networks for Image Classification
- Multi-Column Deep Neural Networks for Offline Handwritten Chinese Character Classification


