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