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Method Area 1: Mathematical structures: shapes, geometry, number theory and algebra
Method Area 2: Mathematical modeling, differential equations, numerics, simulation
Method Area 3: Inverse problems, optimization
Method Area 4: Stochastic modeling, statistical data analysis and forecasting
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2027 - Workshop BAYST: BAYesian latent variable modelling for STructural learning
2026 - Evaluating Epidemic Forecasts
2026 - HKMetrics
2026 - Mathematical Modelling of Antimicrobial Resistance
2026 - Workshop – MADE@KIT
2026 - Workshop – Data-driven methods for partial differential equations
2025 - Workshop | Collaborative and Market-Based Analytics and Forecasting
2025 - Workshop SWIM
2024 - SWIM
2024-Workshop: UM-Bridge
2024-Method Area 4 Workshop
2024-Workshop: Explainable Artificial Intelligence (xAI)
2023-TEEMLEAP
2023-Workshop: UM-Bridge
2023-Deep Learning - Recent Advances in Kernel Methods for Neural Networks
2022-Particle and astroparticle physics
2022-Multiscale effects in mechanics
2021-mathematics of climate and environmental sciences
2021-Advanced Mobility Systems
2021-particle and astroparticle physics
2021-data science for material science
2021-Workshop: Anything related to COVID-19
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MathSEE Research Seminars
2026 - International Excellence Award Lecture: Anne Mackay
2025 - Collaborative and Market-Based Analytics and Forecasting
2025 - Statistical analysis of overparameterized neural networks
2025 - International Excellence Talk and MathSEE Lecture, Prof. Dr. Victoria Stodden
2024 - The finite crystallization problem
2024 - Modeling and numerical simulation of wave propagation phenomena
2024 Topological quantum field theory as an interface between algebra and topology
2024 - Data Science, Where Statistics Meets Optimization
2024 - Mathematics and the Formal Turn
2024 - High Performance Computing and Machine Learning for the Energy Challenge: Mathematical Colloquium
2024 - The Role of Statistical Theory in Understanding Deep Learning
2023 - Measuring dependence between a scalar response and a functional covariate
2023 - Foundations of Machine Learning: Over-Parameterization and Feature Learning
2023 - On the nonlinear instability of the Burgers vortex
2023 - Electricity price forecasting in the 2020s
2023 - Particle Filters: A general Introduction and 2 Examples
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2025 KIT Open Day
2025 KIT in the Town Hall (KIT im Rathaus)
2024 Wissenswoche Mathematik
2023 KIT Open Day
2022 2025 KIT in the Town Hall (KIT im Rathaus)
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Ganesh
Shivalingappa
, M.Sc.
PhD Student
Institute of Applied Materials
Room:
107
CS 30.48
Phone:
+49 721 608-45869
ganesh shivalingappa
∂
does-not-exist.
kit edu
www.iam.kit.edu/zm/english/4835.php
