Data Science for Engineering & Natural Sciences

Invitation to the online final conference of the lecture Data Science for Engineering & Natural Sciences of the Master's program Data Science & Intelligent Analytics.

On February 10 and 11, 2023, Prof. (FH) Dr. Lukas Huber again invites you to the online final conference of the Data Science for Engineering & Natural Sciences lecture.

Master students of Data Science & Intelligent Analytics will present exciting talks around the application areas and current research topics on Data Science as part of their 3rd semester. The two-day virtual conference also offers those interested in the Master's program the opportunity to gain exciting insights into the practical teaching content of the program.

Among others, the Austrian physicist and complexity researcher Asc.Prof. Dr. Peter Klimek could be won as keynote speaker. The scientist of the year 2021 will speak about complexity science approach to health and medicine.


The focus this year is on the following topics:

  • Biology
  • Health
  • Geography
  • Climate
  • Engineering

The presentations will be held in English.


Program & participation

14:00 - 14:15

Opening & Welcome
Start of Data Science for Engineering and Natural Science

Prof. (FH) Dr. Lukas Huber
Lecturer and Conference Host

14:15 - 15:00

Complexity science approach to health and medicine

Assoc. Prof. Priv.-Doz. Mag. Dr. Peter Klimek
Physicist and Complexity Researcher; Scientist of the year 2021

** Small Break **

15:15 - 16:30

First Session: Biology

  • Machine learning in biochemistry
    Daniel Aumayr
  • Machine Learning for Biomaterial Printing
    Christina Köck
  • After AlphaFold2 - A status quo of its relevancy for drug discovery.
    Lena Kleinschmidt

** Small Break **

17:00 - 18:15

Second Session: Health

  • An Electroencephalography Primer for Data Scientists
    Jawor Iwanow
  • Heart rate variability for training readiness assessment
    Renato Fonseca
  • Prediction of Intracranial Pressure using Standard Periodic Vital Signs
    Dalibor Mitic

** Small Break **

18:45 - 20:00

Third Session: Health

  • Machine and Deep Learning in Anti-Inflammatory Drug Discovery
    Laleh Solhi
  • Explainable Machine Learning Models for Sepsis Prediction
    Stephanie Pleyer
  • Computer Aided Diagnosis and Machine Learning in Breast Cancer Detection
    Matthias Oberleitner
  • Machine learning for sleep quality analysis (Video)
    Anna Fedorova

** End Day 1 **



09:00 - 09:20

Introduction and Welcome

Prof. (FH) Dr. Lukas Huber
Lecturer and Conference Host

09:20 - 09:50

Dynamic Clustering of Eye Tracking Data

Maximilian Viehauser

** Small Break **

10:00 - 11:15

First Session: Geography, Climate, Engineering 

  • Clustering glacier behavior
    Fabian Kainz
  • Earthquake prediction with machine learning models based on peak of radon anomalies
    Maria Heinrich
  • ARIMA models in Weather Forecasting
    Anika Schindlauer

** Small Break **

11:30 - 12:50 

Geodatascience and Remote Sensing

Gregor Beyerle

Second Session: Engineering, Health 

  • Concept of Improving UAV Coverage Path Planning with the use of the MuZero Reinforcement Learning Algorithm
    Bernd Saurugger
  • Machine Learning on Chronic Kidney Disease Prediction
    Kaya Gökan

** Small Break **

12:50 - 13:40

Third Session: Engineering 

  • The evolution of network science regarding topology and properties
    Niklas Mayr
  • Nuclear energy and its importance in the future
    Oliver Zeilerbauer

** End day 2 **


Participation in the final conference is free of charge. 
Please register online.

For data protection reasons, we would like to point out that we will record the live conferences on a case-by-case basis so that they can also be accessed later.

We look forward to your participation.

10.02.2023, 14:00 until 11.02.2023, 13:40