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Parastoo Semnani

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Technische Universität Berlin
Machine Learning

Marchstr. 23, 10587 Berlin
https://www.tu.berlin/en/ml

© BIFOLD/Felix Noak

Parastoo Semnani

Doctoral Researcher

Parastoo Semnani is a research associate working in the Machine Learning/Intelligent Data analysis group at Technische Universität Berlin. She received a MS from TU Berlin in 2021 in Process, Energy & Environmental System Engineering and BS from Amirkabir University (Polytechnic Tehran) in Chemical engineering. She spent about a year for her internship and master thesis in BASF in Production AI. She is currently pursuing a PhD and her research involves Multimodal learning, Variational Auto Encoders and Catalyst Research.

Research project: “Optimized search strategy for composition of inorganic materials”

  • Multimodal learning
  • Variational Auto Encoders
  • Process Optimization
  • Catalyst research
     

Parastoo Semnani, Mihail Bogojeski, Florian Bley, Zizheng Zhang,Qiong Wu, Thomas Kneib, Jan Herrmann, Christoph Weisser, Florina Patcas, Klaus-Robert Müller

A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst Discovery

July 10, 2024
https://arxiv.org/pdf/2407.18935