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Prof. Dr. Jens Haueisen


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9th International Summer School in Biomedical Engineering (2020)

5th – 11th August 2020, Erfurt, Germany


The 9th international Summer School in Biomedical Engineering will be hold in hybrid format (on-site and online via streaming using Cisco WebEx), allowing participants that cannot participate on-site due to COVID-19 to be a part of the summer school.


The 9th international Summer School in Biomedical Engineering succeeds a series of summer schools in the past, addressing diverse aspects of bioelectromagnetic signals in the brain, such as clinical and state of the art techniques for measurement, data processing, source reconstruction, brain stimulation, multimodal data integration, and generative modeling.

Often, measured signal merely represent a reduced or distorted mapping of the hidden original sources. Non-invasive techniques that measure brain activity are confronted with this problem that impedes clinical diagnostics and neurocognitive research.

The aim of the 9th International Summer School in Biomedical engineering is to provide education and practical exercises in the field of non-invasive dynamic brain imaging. This will include methodological approaches and challenges, measurement devices and characteristics, types of underlying theoretic modeling, specifics of data analysis, ability to derive conclusions about neuroscientific meaning. The program contains thematic lectures on hardware for brain imaging in the field of EEG, MEG and near infrared spectroscopy. Further, signal decomposition methods for feature extraction or denoising of electrophysiological data will be introduced. The summer school additionally includes lectures about neural mass modeling and the neuroelectromagentic inverse problem.


The main objective of the International Summer School is to provide in depth education and advanced training on state of the art techniques of non-invasive dynamic brain imaging by international experts in biomedical engineering. It aims at a thorough understanding of the underlying mechanisms and thus will develop a critical view on current applications and possible future developments.

The second important aim of the International Summer School consist in providing contact with both leading experts in the field and other students with similar interests. This way, the meeting will facilitate the exchange of ideas on latest developments and help to build professional networks.

The students will obtain soft skills with the focus on research project management specific for PhD students.


Thematic Structure:

Symposium I: “Scientific research projects – implementation & management”

Symposium II: “Electrophysiological signal processing in neonatal monitoring”

Symposium III: “Clinical Monitoring with NIRS and EEG - Clinical Requirements”

Symposium IV: “Neural mass modeling”

Symposium V: “Source imaging of EEG and MEG”

Symposium VI: “Novel brain imaging hardware”


Didactic Structure:

The main ingredients of the didactic concept are:

  • oral presentations by renowned experts in the respective field of research,
  • self-study time for elaborating and discussing the presented topics,
  • panel discussions for discussion issues that have come up during the talks and the self-study time, and
  • soft skill workshop: "Scientists need more - Project Management for PhD students":

    project and time management: vision, team member roles, milestones & intial plan, SMART goals, risk identification, team communication tools, project management tools, meetings, ...

    role of supervisor and PhD student

    o  feedback: giving and receiving

    concepts, case studies and practical advices in research project mananegement

    practical pieces of advice in the field of "Doing Science": Project management, Time Management, Productivity, leadership, ...

  • social program.

Target group: (up to 40 participants)

  • PhD students
  • Advanced Master students
  • Researchers entering the field computational neuroscience, neuroscience methodology and experimental neuroscience

Preliminary schedule:


Day 1 (Wed)       Aug. 509:00-18:00Symposium I: "Scientific research projects - implementation & management"
09:00-09:15Welcome and Introduction (Thomas Knösche and Jens Haueisen)
09:15-10:30Planning, implementation and management of a research project (Alexander Schiller)
10:30-11:00Coffee break
11:00-12:00Planning, implementation and management of a research project (Alexander Schiller)
12:00-13:00Lunch break
13:00-15:30Planning, implementation and management of a research project (Alexander Schiller)
15:30-16:00Coffee break
16:00-18:00Planning, implementation and management of a research project (Alexander Schiller)
from 18:00“Get together” – welcome reception
Day 2 (Thu)  Aug. 609:00-17:00Symposium II: "Electrophysiological signal processing in neonatal monitoring"
09:00-09:45"Challenges in neonatal EEG monitoring" (Sabine Van Huffel)
09:45-10:30"Artefact Removal in electrophysiological signal processing" (Silvia Comani)
10:30-11:00Coffee break
11:00-11:30"Cerebral autoregulation techniques using NIRS" (Sabine Van Huffel)
11:30-12:00Demonstrations on CarMON software tools (Tim Hermans)
13:00-13:30Poster session (2 posters)
13:30-14:30"Machine learning approaches in neonatal monitoring" (Maarten De Vos)
14:30-15:00Coffee break
15:00-15:45"Newborn network analyses" (Anton Tokariev and Sampsa Vanhatalo)
15:45-16:30"Human-expert-in-the-loop AI" (Thomas Philip Runarsson)
16:30-17:00Panel discussion
Day 3 (Fri) Aug. 709:00-Symposium III: "Clinical Monitoring with NIRS and EEG - Clinical Requirements"
09:00-10:00What it takes to tackle the INFANS challenge: building an EEG monitor for the clinician (Sampsa Vanhatalo)
10:00-10:30Cerebral neuromonitoring in preterm infants (Maria Luisa Tataranno)
10:30-11:00Coffee break
11:00-11:45Poster session (3 posters)
13:00-13:30"NeoGUARD: software platform for continuous EEG monitoring in the NICU" (Tim Hermans)
13:30-14:30"Distributed architecture for EEG intelligence" (Gardar Thorvardsson)
14:30-15:00Coffee break
15:00-15:30Poster session (2 posters)
15:30-16:00Panel discussion
16:00-Free time for (project related) discussions
Day 4 (Sat) Aug. 809:00-12:00Symposium IV: "Neural mass modeling"
09:00-09:30"Neural mass models: parsimonious and biologically realistic modeling of brain function" (Thomas Knösche)