Mathematical Modelling and Data Analysis

Name

Working Areas

Dr. Schmelter, Sonja

Tel.: +4930 3481 7766

Sonja.Schmelter(at)ptb.de

(Head of Working Group)

• Modelling and simulation of fluid flows in metrology

• Uncertainty Quantification and virtual metrology
  
  
• Machine learning and data driven modelling
  

Prof. Dr. Bär, Markus

Tel.: +4930 3481 7687

Markus.Baer(at)ptb.de

• Collective effects of active particles and oscillators
  
  
• Control of electrical wave propagation in the heart
  

• Uncertainty Quantification and virtual metrology
  
  
• Machine learning and data driven modellingMachine learning and data driven modelling

Bayazit, Nursen

Tel.: 030 3481 7414

nursen.bayazit(at)ptb.de

• Modelling and simulation of fluid flows in metrologyModelling and simulation of fluid flows in metrology

• Uncertainty Quantification and virtual metrology
  
  
• Machine learning and data driven modellingMachine learning and data driven modelling

Henze, Oliver

Tel.: +4930 3481 7883

Oliver.Henze(at)ptb.de

• Modelling and simulation of fluid flows in metrology
  
  
• IT Administration und Datenmanagement

Mehari, Temesgen

Tel.: +4930 3481 7083

Temesgen.Mehari(at)ptb.de

• Machine learning and data driven modelling
  
  
• Biomedizinische Signalverarbeitung

Polansky, Jiři

Tel.: +4930 3481 7756

Jiri.Polansky(at)ptb.de

• Modelling and simulation of fluid flows in metrology

von Kenne, Albert

Tel.: +4930 3481 7287

albert.v.kenne(at)ptb.de

• Collective effects of active particles and oscillators

Weiss, Sebastian

Tel.: +4930 3481 7083

Sebastian.Weiss(at)ptb.de

• Modelling and simulation of fluid flows in metrologyModelling and simulation of fluid flows in metrologyModelling and simulation of fluid flows in metrology

Dr. Winkler, Benjamin

Tel.: +4930 3481 7784

benjamin.winkler(at)ptb.de

• Control of electrical wave propagation in the heartControl of electrical wave propagation in the heart

• Uncertainty Quantification and virtual metrologyen/ptb/fachabteilungen/abt8/fb-84/ag-841/virtual-metrology-8410.htmlUncertainty Quantification and virtual metrologyUncertainty Quantification and virtual metrology

Wilms, Christoph

Tel.: +49531 592 3580

christoph.wilms(at)ptb.de

• Machine learning and data driven modellingMachine learning and data driven modelling

• Modelling and simulation of fluid flows in metrologyModelling and simulation of fluid flows in metrologyModelling and simulation of fluid flows in metrology

Name

Working areas

Dr. Elster, Clemens

Phone: +49 (0)30 3481 7492

Clemens.Elster(at)ptb.de

(Head of working group)

• Measurement uncertainty
• Regression
• Analysis of key comparisons
• Analysis of dynamic measurements
• Virtual experiments
• Bayesian concentration estimation from ELISA measurements
• Measurement Uncertainty - practical perspective
• Large-scale data analysis
• Sampling procedures in legal metrology
• Deep Learning

Amanova, Narbota

Phone: +49(0)30 3481 7978

narbota.amanova(at)ptb.de

• Deep Learning

Bernburg, Hugalf

Phone: +49 (0)30 3481 7487

hugalf.bernburg(at)ptb.de

• Sampling procedures in legal metrology

Dr. Faller, Josua

Phone: +49 (0)30 3481 7819

josua.faller(at)ptb.de

• Deep Learning

Hughes, Finn

Phone: +49 (0)30 3481 7807

finn.hughes(at)ptb.de

• Virtual experiments

Dr. Klauenberg, Katy

Phone: +49 (0)30 3481 7614

Katy.Klauenberg(at)ptb.de

• Measurement uncertainty
• Regression
• Analysis of key comparisons
• Bayesian Concentration Estimation from ELISA Measurements
• Measurement Uncertainty - practical perspective
• Sampling procedures in legal metrology

Dr. Marschall, Manuel

Phone: +49 (0)30 3481 7948

Manuel.Marschall(at)ptb.de

• Measurement uncertainty
• Regression
• Virtual experiments
• Bayesian compressed sensing for nanoscale chemical mapping in the mid-infrared regime
• Large-scale data analysis

Dr. Martin, Jörg

Phone: +49 (0)30 3481 7489

joerg.martin(at)ptb.de

• Deep Learning
• Measurement uncertainty
• Regression

Schmähling, Franko

Phone: +49 (0)30 3481 7984

Franko.Schmaehling(at)ptb.de

• Deep Learning
• Bayesian compressed sensing for nanoscale chemical mapping in the mid-infrared regime
• State of health of Li-Ion batteries
• Development of methods for characterizing integral quantities from differential optical measurements
• Camera based near-field goniophotometer and temperatur measurement in the visual spectral range
• Virtual experiments
• Analysis of dynamic measurements

Stavridis, Manuel

Phone: +49 (0)30 3481 7947

Manuel.Stavridis(at)ptb.de

• Virtual experiments

Dr. Wübbeler, Gerd

Phone: +49 (0)30 3481 7242

Gerd.Wuebbeler(at)ptb.de

• Measurement uncertainty
• Regression
• Analysis of key comparisons
• Multidimensional reflectrometry
• Measurement Uncertainty - practical perspective
• Large-scale data analysis
• Bayesian compressed sensing for nanoscale chemical mapping in the mid-infrared regime

Name

Arbeitsgebiete

Prof. Dr. Haufe, Stefan

Tel.: 030 3481 7824

stefan.haufe(at)ptb.de

(Arbeitsgruppenleiter)

• Machine Learning
• Signal Processing
• Analysis of electrophysiological and other neuroimaging data

Agarwal, Nikita

Tel.: 030 3481 7866

nikita.agarwal(at)ptb.de

• EEG
• Computational  neuropsychiatry
• Precise medicine
• Machine Learning 

Boubekki, Ahcène

Tel.: 030 3481 7089

ahcene.boubekki(at)ptb.de

• Explainable AI
• Unsupervised learning
• Representation learning
• Generative models

Dr. Bozkurt-Varolgünes, Yasemin

Phone: +49(0)30 3481 7784

yasemin.bozkurt-varolguenes(at)ptb.de

• Causal Inference
• Machine Learning
• Deep Learning

Clark, Benedict

Tel.: 030 3481 7803

benedict.clark(at)ptb.de

• Explainable AI
• Machine Learning
• Causal Inference
• Statistics

Dr. Huseynov, Ismail

Tel.: 030 3481 7294

ismail.huseynov(at)ptb.de

• Statistical Inverse Problems
• M/EEG Inverse Modelling
• Uncertainty Quantification
• Machine Learning
• Deep Learning
• Time-Delay Systems

Dr. Panknin, Danny

Tel.: 030 3481 7866

danny.panknin(at)ptb.de

• Machine learning
• Active learning
• Nonparametric methods
• Statistics
• Uncertainty quantification

Zhumagambetov, Rustam

Tel.: 030 3481 7866

rustam.zhumagambetov(at)ptb.de

• Generative machine learning
• Deep learning