direkt zum Inhalt springen

direkt zum Hauptnavigationsmenü

Sie sind hier

TU Berlin

Inhalt des Dokuments

Dr.-Ing. Erik Esche

Habilitand; Research Assistant with Teaching Obligations and Continuous Tasks

KWT-A 108 A

Tel. +49 30 314 21634

Fax +49 30 314 26915

S/MIME (X509v3): CA der TU Berlin

Fingerprint (SHA1): 8E:37:62:A1:86:09:B9:DB:06:DF:6C:82:6D:C0:4C:BC:BF:8B:D5:96

Curriculum Vitae

Erik Esche
Geboren 1987 in Berlin

2010 - B.Sc. in Energy- and Process Engineering (TU Berlin); 2011 - Master's Thesis at Carnegie Mellon University, Pittsburgh, PA with Lorenz T. Biegler; 2011 - M.Sc. in Energy- and Process Engineering (TU Berlin); 2015 - PhD (cum laude) in Process Engineering on "MINLP Optimization under Uncertainty of a Mini-plant for the Oxidative Coupling of Methane"; since:Habilitand & PostDoc at Process Dynamics and Operations Group of Prof. Repke

Research

Areas of Research:

  • Optimal operation of process plants
  • Hydroformyltion of long-chained olefines
  • Optimale synthesis of chemical processes under uncertainty
  • Chance Constraints (probabilistic contraints)

Research Projects:

Lupe
Lupe

Contact Person for Research Area: Methods for Process Design and Operations

Deputy Contact Person for Research Area: Model Development

Bachelor's and Master's Theses

 Topics on Offer:

  • Knowledge Graphs to Model Chemical Engineering Knowledge and Data
  • Semi-supervised Regression for Control of Dynamic Systems
  • Unscented Transformation for Solution of Joint Chance Constraints
  • Set-based Formulation of Models in Chemical Engineering Using MOSAICmodeling
  • Distributed Database Architectures for Model Development in MOSAICmodeling

Further topics on request.

Publications

Superstructure Optimization
Zitatschlüssel Bock2014
Autor Christian Bock and Erik Esche and David Müller and Günter Wozny
Buchtitel Proceedings of the 8th International Conference on Foundations of Computer-Aided Process Design
Seiten 267–272
Jahr 2014
DOI 10.1016/b978-0-444-63433-7.50029-8
Jahrgang 34
Verlag Elsevier
Organisation Elsevier
Schule Technische Universität Berlin
Zusammenfassung Simultaneous magnetoencephalography (MEG) and intracranial local field potential recordings in patients with severe movement disorders undergoing deep brain stimulation (DBS) treatment are a promising tool both for clinical application and basic research. Recordings can be accomplished during the time interval (two to five days) between electrode insertion and its connection to the subcutaneous pulse generator while electrodes are externalised. Thusly, interactions between the DBS targets and cortical areas can be uncovered to understand physiological and pathophysiological loops. DBS target points are the subthalamic nucleus or the caudal zona incerta for Parkinsonâ??s disease patients and the internal globus pallidus for dystonic patients. Coupling measures such as coherence (coh) and the imaginary part of coherency (icohy) have been applied. However, at lower frequencies below 10 Hz strong cardiac cycle artefacts (CCAs) are observed in the MEG signals around the area of the burr holes in the left hemisphere, where both disposable stainless steel electrodes wires leave the skull. The CCA refers to the remanent magnetic field of those wires underneath the MEG sensors, which are moved by local pulsations of the blood vessels. The present thesis essentially aims at accurately identifying the extent of this artefact and providing and comparing three different methods of its removal from the MEG sensor space: (i) Applying principal component analysis and subsequent signal space projection (SSP) method to the CCA in time space (tCCA); (ii) applying independent component analysis; and (iii) applying SSP to the CCA in frequency space (fCCA). Subsequently, solely the ispilateral coh and icohy between the target points located within the basal ganglia and cortical areas of the right hemisphere, which shows less artefacts, were calculated once more. Based on the a priori assumption that the artefact mainly covers coh and icohy below 10 Hz, preferable removal characteristics would be a strong suppression below 10 Hz while preserving or yet uncover coupling above 10 Hz. In particular after applying the tCCA removal method, typical topographic dipolar and bipolar patterns in the α (8 to 12 Hz) and β (13 to 30 Hz) frequency ranges are well preserved, whereas artefactual patterns below 10 Hz are significantly suppressed. Results of disease-specific coupling differences are mostly in line with previous findings. Consequently, over and above the technical feasibility of this highly challenging set-up, especially the tCCA removal method is an appropriate tool and clears the way for more precise and more extensive coupling analyses using similar data sets.
Link zur Publikation Download Bibtex Eintrag

Contact Details

Dr.-Ing. Erik Esche
Technische Universität Berlin
Sekr. KWT-9 - Fachgebiet Dynamik und Betrieb technischer Anlagen
Str. des 17. Juni 135
D-10623 Berlin
Germany

Tel. +49 (0) 30 314 - 21 634
Fax. +49 (0) 30 314 - 26 915

Zusatzinformationen / Extras

Direktzugang

Schnellnavigation zur Seite über Nummerneingabe

Office Hours:

Dr.-Ing. Erik Esche

All in-person office hours are postponed for now. Separate arrangements can be made by .

KWT-A 110