Phd Student
CurrentInterests: Learning-based control of autonomous mobility systems, Offline graph reinforcement learning, Neural combinatorial optimizationWithin the EU Horizon project "SHOW"
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Carolin Schmidt is listed as Visiting Researcher @ Stanford University | PhD Student @ Technical University of Denmark at Machine Learning for Smart Mobility, based in Copenhagen, Capital Region Of Denmark, Denmark. AeroLeads shows a matched LinkedIn profile for Carolin Schmidt.
Carolin Schmidt previously worked as PHD Student at Machine Learning For Smart Mobility and Visiting Researcher at Stanford University. Carolin Schmidt holds Master Of Science - Ms, Electrical Power Engineering And Operations Research, With Distiction: 1.1 (Top 5%) from Rwth Aachen University.
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Carolin Schmidt is a Visiting Researcher @ Stanford University | PhD Student @ Technical University of Denmark at Machine Learning for Smart Mobility. She is proficient in Russian, Swedish, French and English.
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Copenhagen, Capital Region, Denmark
Interests: Learning-based control of autonomous mobility systems, Offline graph reinforcement learning, Neural combinatorial optimizationWithin the EU Horizon project "SHOW"
Stanford, California, United States
Autonomous Systems Lab (Prof. Marco Pavone)
Aachen
Semi-supervised video object tracking and segmentation of road users from an aerial perspective for the safety validation of highly automated vehicles (Python, Pytorch)
Kreisfreie Stadt Aachen Area, Germany
Evaluation, simulation, and forecasting of load behavior of new consumers (MATLAB)
Aachen
Stuttgart Und Umgebung, Deutschland
Technical project lead of the vehicle development of C- and E- class hybrids
Thesis at the chair of Optimization of Distribution Networks: “Deep learning analysis of the Angular-Metric Traveling Salesman Problem.
Semester abroad at the faculty of electrical engineering Course work: Electrical machines and drives (Grade: 1.0) Hybrid vehicle drives.
Thesis: "Comparison of different modeling approaches to model the technology development of electrified powertrains" grade 1.0
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Carolin Schmidt works for Machine Learning for Smart Mobility.
Carolin Schmidt is listed as Visiting Researcher @ Stanford University | PhD Student @ Technical University of Denmark at Machine Learning for Smart Mobility.
Carolin Schmidt is based in Copenhagen, Capital Region Of Denmark, Denmark while working with Machine Learning for Smart Mobility.
Carolin Schmidt has worked for Machine Learning For Smart Mobility, Stanford University, Fka Gmbh, Bet Büro Für Energiewirtschaft Und Technische Planung, and Institute For High Voltage Technology Rwth.
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Carolin Schmidt holds Master Of Science - Ms, Electrical Power Engineering And Operations Research, With Distiction: 1.1 (Top 5%) from Rwth Aachen University.
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