Symposium: New Directions in Natural Sciences: Complexity, Machine Learning and Algorithms

Date: 06.03.2020

The main purpose of this meeting is the gathering of the EASA class "Natural Sciences" in order to foster scientific contacts among its members, to discuss essential past achievements in the areas it comprises (mathematics, physics, chemistry, biology etc.), and to look into important as well as promising future issues. This time the latter predominantly focus on machine learning and algorithms not only with regard to big data but also relating to methods to treat problems of complexity in natural sciences.

Scientific organisers:
Prof. Dr. Klaus Mainzer (Dean Class IV "Natural Sciences" of EASA)
Prof. Dr. Willibald Plessas (University of Graz)
Prof. Dr. Marko Robnik (University of Maribor)

Venue: Kardinal Schwarzenberg Haus, Kapitelplatz 3, 5020 Salzburg
REGISTRATION via e-mail to: office@euro-acad.eu 

Program
08:30-08:35
EASA President Felix Unger:
Opening Address

08:35-08:50
Dean of Class IV "Natural Sciences" 
Klaus Mainzer (Technical University of Munich and University of Tübingen):
Complexity, Machine Learning and Algorithms

 

Session I  Chair: Willibald Plessas (University of Graz)

08:50-09:25
Mirjam Cvetic (University of Pennsylvania, Philadelphia):
Unification of Fundamental Forces of Nature by Modern String Theory

09:30-10:05
Felicitas Pauss (ETH Zürich):
Science Without Borders: From Infinitely Small to Infinitely Large

10:10-10:45
Tomaz Prosen (University of Ljubljana):
Dynamical Complexity and Chaos in Quantum Many-Body Systems

10:50-11:10   Coffee, Tea

 

Session II   Chair: Marko Robnik (University of Maribor)

11:10-11:45    
Ferenc Krausz (MPI for Quantum Optics Munich):
Attosecond Science: From Basic Research to Cancer Detection

11:50-12:25    
Kurt Wüthrich (Scripps Research, La Jolla, and ETH Zürich and iHuman Institute, ShanghaiTech University):
Biophysics and Structural Biology

12:30-13:05    
Marc-Thorsten Hütt (Jacobs University Bremen):
How Patterns in Data Help Us to Understand Biological Complexity

13:10-14:00   Lunch

 

Session III    Chair: Mirjam Cvetic (University of Pennsylvania)

14:00-14:35 
Valery Kozlov (Russian Academy of Sciences):
Quadratic Laws of Conservation of Equations in Mathematical Physics

14:40-15:15
Gisbert Wüstholz (ETH and University of Zürich):
Computability, Complexity, and Effectivity in Number Theory

15:20-15:55 
Dusan Repovs (University of Ljubljana):
Topologically-Based Machine-Learning Methods

16:00-16:20   Coffee, Tea

 

Session IV   Chair: Klaus Mainzer (TU Munich and University of Tübingen)

16:20-16:55    
Dirk Inzé (Ghent University):
Solving the Complexity of Biological Systems

17:00-17:35
Markus Hengstschläger (Medical University of Vienna):
Medical Genetics in Digital Transformation

17:40 
General Discussion and Closing

Place: Salzburg

Time: 08.30h - 17.50h

Invitation.pdf
Abstracts.pdf
Programme.pdf

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