September
October

October,19th 

15:30

Room 55.309

PhD Research Seminar

Introduction to PhD Seminars

By Aurelio Ruiz Garcia 

October,25th 

16:30

Room 55.309

Invited Research Seminar

Decoding Neural Drive for New Generation of Neurorehabilitation Systems

By Ivan Vujaklija 

Host: Laura Becerra-Fajardo

Abstract

The generation of a movement is the combination of discrete events (action potentials) generated in the brain, spinal cord, nerves, and muscles. These discrete events, discharged in the various parts of the neuromuscular system, constitute the neural code for movements. Recording and interpretation of this code provides the means for decoding the motor system. Currently we are able to detect and process the available information content only partially and this limitation impedes us to establish widely applicable man-machine interface systems. I will present the developments done within the ERC funded project “DEMOVE”, and recently at the Bioengineering Department at Imperial College London on advanced electrode systems for in-vivo electrophysiological recordings in humans and new computational methods/models for extracting functionally significant information on human movement. The focus of these developments is on providing the link between the cellular mechanisms and the behaviour of the whole motor system in order to establish clinically viable and effective neurorehabilitation technologies.

Biography

Ivan Vujaklija received the engineering degree in Electrical Engineering and Computer Science from the University of Belgrade, Serbia, in 2011, and the M.Sc. degree in Biomedical Engineering from the University of Lübeck, Germany in 2013. He obtained his PhD degree in human medical sciences at the University of Göttingen, Germany in 2016 while working as a research assistant at the Institute of Neurorehabilitation Systems at the University Medical Center Göttingen, Georg-August University, Germany. From 2012 until 2014 he worked for Ottobock Healthcare GmbH, Duderstadt, Germany, one of the world leading prosthetic manufacturers. In 2014 and 2015 he was a research fellow at Arizona State University and Medical University of Vienna respectively. In 2017 he moved to the Department of Bioengineering at the Imperial College London to work as a research associate. His research interests include bio-signal processing, advanced control algorithms, robotics, translational neurorehabilitation and neural control of movement.

October,26th 

15:30

Room 55.410

PhD Research Seminar

Title: DKPro Core - With Reusable and Interoperable Components Towards Reproducible Experiments

By Dr. Richard Eckart de Castilho

Host: Jens Grivolla

Abstract

Vast amounts of information are stored in unstructured formats such  as audio, video, or plain text. The field of Natural Language Processing (NLP) addresses   this by providing not only methods but also many ready made tools to analyze  text and to structure it in many ways ranginge from simple segmentation to complex  semantic analysis. However, it is often difficult to incorporate these tools into new experimental setups because the complexities of installation, configuration,  data transformation and interoperability in general are often underestimated.  This negatively affects the reproducibility of such experiments.  This talk will give an introduction to doing NLP with DKPro Core and the DKPro   eco-system with a focus on the approaches employed to promote and facilitate   reproducible experiments and the development of NLP-based applications.

Biography

About the speaker: Dr. Richard Eckart de Castilho is a senior research and technical lead at the Ubiquitous Knowledge Processing Lab, TU Darmstadt, the lead developer of DKPro Core,   member of the Apache UIMA project, and maintainer of the Apache uimaFIT library [1].  [1] https://www.ukp.tu-darmstadt.de/people/senior-staff/richard-eckart-de-castilho/

 

Research Seminars Archives >>

If you are interested in giving a Research Seminar or you would like to invite a speaker please fill in the following form RSDetails Form >>