Parastoo Semnani
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
Machine learning accelerates catalyst discovery
Machine learning (ML) models have recently become popular in the field of heterogeneous catalyst design.