Herr Dr. Vivin Vinod

Scientific Employee

Positionsbeschreibung

Vivin Vinod is a post-doctoral Research Associate at the University of Wuppertal in Germany. He has a multidisciplinary background, holding a Bachelor's (Hons) in Physics with minors in Mathematics and Philosophy, and a Master of Science in Economics with a focus on advanced computational simulations for econometrics and machine learning for financial swap assessment. He holds a PhD in Computer Science from the University of Wuppertal.

His current research continues work in the fields of multifidelity methods with applications to quantum chemistry. The extension of his research involves including multifidelity strategies for active learning and uncertainty quantification.

Master’s Thesis: Credit Risk Modelling in Application: Catastrophe Swaps and Deep Learning Approaches [https://etd.adm.unipi.it/t/etd-04142021-113103/]

PhD Thesis: Multifidelity Machine Learning Methods for Quantum Chemical Properties [https://doi.org/10.25926/BUW/0-851]

Social: LinkedIn [https://www.linkedin.com/in/vivin-vinod/], ORCID [https://orcid.org/0000-0001-6218-5053], Google Scholar [https://scholar.google.com/citations?user=5HdwG1wAAAAJ&hl=en] , GitHub [https://github.com/vivinvinod]