Kislaya Ravi, M.Sc.

Technische Universität München

TUM School of CIT
Department of Computer Science
Boltzmannstrasse 3
85748 Garching
Germany

Office: MI 02.05.057
Mail: kislaya@in.tum.de

Tel: +49-89-289-18630
Fax: +49-89-289-18607
Office Hours: by arrangement

Background

Doctoral Candidate, Chair of Scientific Computing, Technical University Munich, Munich, Germany
Master in Science (MSc), Computational Science and Engineering, Technical University Munich, Munich, Germany
Master in Technology (MTech.), Machine Design, Indian Institute of Technology (BHU), Varanasi, India
Bachelor in Technology (BTech.), Mechanical Engineering, Indian Institute of Technology (BHU), Varanasi, India

Scientific Computing II (IN2141)SS20
Algorithms for Uncertainty Quantifications (IN2345) SS20, SS21, SS22, SS23
Scientific Computing I (IN2005) WS20, WS21, WS22, WS23
Master-Praktikum - Machine Learning in Crowd Modeling & Simulation (IN2106, IN4267) WS20, SS21, WS21
Seminar High Dimensional Methods in Scientific Computing (IN2107,IN0014,IN2183) SS22
Seminar Data Mining (IN0014, IN4927) SS22, SS24

Mohammad Anas Khan: Black-Box Optimization for Engineering Systems with Score-Function Estimator. , 2024 mehr…
Mostafa ElHayani: Real-Time Object Detection Uncertainty Quantification using Augmented Images for Autonomous Vehicles. Masterarbeit, 2024 mehr…
Thiago Lima Carneiro: Efficient Uncertainty Quantification for Power Networks. Masterarbeit, 2024 mehr…
Vaishali Ravishankar: Exploratory Analysis of Turbulent Flow Data using GNN-based Surrogate Model. Masterarbeit, 2024 mehr…
Zhang, Chengye: Portfolio Optimization Using Multi-Fidelity Gaussian Process. Masterarbeit, 2024 mehr…

Aurangzeb Ali Rathore: Adaptive Multifidelity Deep Gaussian Process for Uncertainty Quantification. Masterarbeit, 2021 mehr…
Martin Klapacz: Multifidelity Gaussian Processes for Uncertainty Quantification. Bachelorarbeit, 2021 mehr…

Kislaya Ravi; Tobias Neckel; Hans-Joachim Bungartz: Multi-fidelity No-U-Turn Sampling. To appear in: Monte Carlo and Quasi-Monte Carlo Methods 2022, Springer, 2023 mehr…

Kislaya Ravi: Neural Network Hyperparameter Optimization using SNOWPAC. Masterarbeit, 2019 mehr…

Kislaya Ravi: Dimension adaptive Multi-fidelity Polynomial Chaos Expansion using Leja points. Sparse Grids and Applications Seminar 2024, 2024 mehr…
Kislaya Ravi: Multi-fidelity No-U-Turn Sampling. SIAM CSE 2023, 2023 mehr…
Kislaya Ravi: Multifidelity Polynomial Chaos Expansion Using Leja Grid Points. SIAM UQ 2022, 2022 mehr…
Kislaya Ravi: Multi-fidelity No-U-Turn Sampling. MCQMC 2022, 2022 mehr…
Kislaya Ravi: MULTI-FIDELITY DIMENSION-ADAPTIVE POLYNOMIAL CHAOS EXPANSION FOR PLASMA MICRO-INSTABILITY ANALYSIS. CSAI 2021, 2021 mehr…