Valeriu Codreanu

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Valeriu Codreanui [1]

Valeriu Codreanu,
a Romanian computer scientist, electrical engineer and head of high-performance computing and visualization at SURFsara, Amsterdam Science Park, part of the SURF cooperative association of Dutch educational and research institutions in the field of information and communication technology. He holds B.Sc., M.Sc. and Ph.D. degrees from Politehnica University of Bucharest in 2003, 2008 and 2011 respectively, and was postdoctoral researcher at Eindhoven University of Technology and University of Groningen, working on GPU computing, computer vision, and embedded systems [2]. His research interest include computer architecture, in particular multi/many core architectures, deep learning, and compilation techniques for state-of-the-art parallel processors, including auto parallelization and auto vectorization [1]. As co-advisor of Matthia Sabatelli concerning his M.Sc. thesis on learning to play chess with minimal lookahead, using multilayer perceptrons versus convolutional neural networks [3], Valeriu Codreanu co-authored the subsequent ICPRAM paper Learning to Evaluate Chess Positions with Deep Neural Networks and Limited Lookahead [4].

Selected Publications

[5]

2013 ...

2020 ...

External Links

References

  1. 1.0 1.1 Valeriu Codreanu | LinkedIn
  2. Speaker: Valeriu Codreanu: Artificial Intelligence Conference: Applied AI & machine learning
  3. Matthia Sabatelli (2017). Learning to Play Chess with Minimal Lookahead and Deep Value Neural Networks. Master's thesis, University of Groningen, pdf
  4. Matthia Sabatelli, Francesco Bidoia, Valeriu Codreanu, Marco Wiering (2018). Learning to Evaluate Chess Positions with Deep Neural Networks and Limited Lookahead. ICPRAM 2018, pdf
  5. dblp: Valeriu Codreanu

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