News

Open Positions

To apply, please send a copy of your CV and a cover letter outlining your research interests and experience to [cihan.ates@kit.edu]. Please also include any relevant publications, presentations, or awards. We review applications on a rolling basis and will contact qualified candidates for an interview. We look forward to receiving your application and potentially welcoming you to our team!

01

Improving Product Valuation in the Energy Market via Generative Adversarial Networks (GANs)

External Master Thesis

Financial product valuation is essential to support trading and risk management decisions. A standard method to perform the valuation of financial products under uncertainty is to estimate their return for alternating scenarios. These scenarios are usually simulated with Monte-Carlo methods. For sophisticated products, this leads to a considerable number of simulations and high computational expenses. The goal of this study is to utilize the power of GANs to generate realistic market scenarios to depict the uncertainties in market conditions. The project will be conducted as an external master thesis in collaboration with Energie Baden-Württemberg (EnBW) and the student will be employed at EnBW during the work. The implementation has a significant potential and we aim to publish the outcomes in international scientific journals.

Requirements:

Proven, strong background in energy market AND machine learning methods
Python programming skills

02

Modeling of Fuel Injection in Aero-engines
with Causal Generative Machine Learning Models

Master Thesis

One of the advancing frontiers of machine learning is generative modelling. Such models have a probabilistic nature and rely on the discovered patterns in the data, which can later be used to create new examples indistinguishable from the original dataset.

In this project, our goal is to generate a model which can mimic the statistics of fuel droplets in aero-engine combustors. The training data will be provided from highly resolved reactive CFD simulations. The student will test alternative generative ML models to predict the droplet sizes and trajectories along the combustor and evaluate the predictive accuracy of the models at various operating conditions. Another goal is to test different feedback policies to imrove the causality in model predictions.

Requirements:

Proven, strong background in Machine Learning methods
Python programming skills

News

SPHERIC 2023

The 17th international SPHERIC workshop took place from 26 June to 30 June in Rhodes, Greece. Niklas Bürkle, Matthias Haber, Karthik Muthukumar and Markus Wicker presented their current research work on smoothed particle hydrodynamics (SPH) and other part...

New course: "Boosting the Modern Energy Landscape via Turbo Machines & Machine Learning"

The new lecture "Boosting the Modern Energy Landscape via Turbo Machines & Machine Learning" starts at ITS in WS2023/24. In this lecture, students will acquire knowledge in the field of radial machines as well as an introduction to selected methods of art...

COMSOL Conference 2023

Dr Cihan Ates and Abdallah Alshanawani presented their work "Towards Data-Driven Design of Flow Blurring Atomizer" at the COMSOL 2023 conference in Munich. Their presentation explores the synergy between machine learning, experimentation and CFD and how t...

Boysen Days 2023

Dr Cihan Ates and M.Sc. Karthik Vigneshwaran Muthukumar presented their latest results from a joint project with the KIT ITCP. The project is called "Designing Gas-Liquid Contact Reactors for Efficient CO2 Capture".Gas-liquid contact reactors (GLCs) are o...

Helmholtz AI Conference 2023

From 12-14 June 2023, the Helmholtz AI Conference 2023 took place at the Deutsches Elektronen-Synchrotron (DESY) in Hamburg. Dr. Cihan Ates and Joel Arweiler presented their research results on the topic "Similarity-Based Framework for Unsupervised Domain...

KCDS Talk

Dr. Ates is giving a lecture within the scope of KCDS Talks titled “How the brain learns and why adaptive model matters”. In the talk, he will point out and discuss some problems of the AI models used today, how the only intelligent system we know -our br...

MAI was at MCS 2023

From 22 to 26 January, the 12th Mediterranean Combustion Symposium took place in Luxor, Egypt. Dr.-Ing. Cihan Ates attended the event and presented the ongoing study on modelling of droplet trajectories in spray combustion via generative ML. The extended ...

Mobility @ IIIA - Barcelona

Dr. Ates has returned from his short term mobility at the Learning Systems Group of Prof. Jesus Cerquides. The research of this group focuses on the development of machine learning algorithms, models, software, and applications. From an algorithmic/model...

DDE Contest

In the last Data Driven Engineering Lecture, we have distributed 𝟱𝟱 𝗶𝗻𝗱𝗶𝘃𝗶𝗱𝘂𝗮𝗹 𝘀𝘁𝘂𝗱𝗲𝗻𝘁 𝗽𝗿𝗼𝗷𝗲𝗰𝘁𝘀 and among the submissions, we picked the 𝗧𝗼𝗽 𝟱 𝗮𝘀 𝘁𝗵𝗲 𝗳𝗶𝗻𝗮𝗹𝗶𝘀𝘁𝘀 of the DDE-(KI)2T Contest. On 𝟮𝟴𝘁𝗵 𝗼𝗳 𝗢𝗰𝘁...

Project Hermit

Growing population, expanding global economy, urbanization with rising standard of living have dangerously accelerated waste generation in the world. It is expected to reach over 3.4 billion tons of waste per year by 2050, roughly a 70% increase. One suc...

Reacting Particle-Gas Systems 2022

The 1st International Workshop on Reacting Particle-Gas Systems took place from 07 to 09 June at the Ruhr-Universität Bochum. The event is organised by the Collaborative Research Centre 287 BULK-REACTION. Dr.-Ing. Cihan Ates and Mr. Joel Arweiler particip...

Boysen Days 2022

After a two-year break from Corona, the Doctoral Students' Days were brought back to life by the Boysen Foundation. We presented our latest results from a joint project with the KIT ITCP. The project is called "Designing Gas-Liquid Contact Reactors for Ef...

DLRK 2022

Joel presented the results of his master's thesis in his talk entitled "Uncertainty estimation of particle image velocimetry measurements using convolutional neural networks". He investigated the extent to which the uncertainty of PIV measurements can be ...

AI Hub @ Karlsruhe

Dr. Cihan Ates (ITS) and Dr. Edouard Fouché (IPD) organized the first AI-oriented international networking event at KIT on 5-7 October. Three keynote speakers, 16 young researchers, and six startups shared the latest developments in their fields and their...

Spheric 2022

After a 3-year break from Corona, we were at SPHERIC 2022 in Catania, Italy, which was held for the first time again. SPHERIC is a three-day workshop dealing exclusively with the Lagrangian Smoothed Particle Hydrodynamics (SPH) method. At our institute, w...