Artificial Intelligence in Industry and Finance (2nd European COST Conference on Mathematics for Industry in Switzerland)

We would like to welcome you to the «2nd COST Conference on Mathematics for Industry in Switzerland» on Artificial Intelligence in Industry and Finance, hosted by the Institute of Applied Mathematics and Physics and the Institute of Data Analysis and Process Design at the Zurich University of Applied Sciences ZHAW in Winterthur, Switzerland.

Artificial Intelligence in Industry and Finance (2nd European COST Conference on Mathematics for Industry in Switzerland)

September 7, 2017, 9:30-16:30 - ZHAW Winterthur, Technikumstrasse 71, 8401 Winterthur


Logo ZHAW School of Engineering
Logo Data Service


Logo Mobiliar
Logo PWC

Aim of the conference

We aim to bring European academics, young researchers, students and industrial practitioners together in Switzerland to discuss the application of Artificial Intelligence to various practical fields. In a broader context, we want to promote «Mathematics for Industry» in Switzerland, similar to what ECMI is doing on an European-wide level. The 1st COST Conference on this topic was held on September 15, 2016.

We have two thematic workshops, focusing on Industrial and Financial Applications.

The conference is supported by the COST Network MI-NET and by the Swiss State Secretariat for Education, Research and Innovation SERI.

All lectures are open to the public. Registration is now open!

Conference information at a glance

Key Note Presenter

Invited Speakers


Please find here the form to register for the «2nd European COST Conference on Mathematics for Industry». Members of the Swiss Alliance for Data-Intensive Services have a 30%-discount on the registration fee.


  • Registration, Znüni: 09:00-09:30
  • Welcome: 09:30-09:45
  • Keynote: 09:45-10:30
  • Coffee: 10:30-10:45
  • Thematic Sessions 1: 10:45-12:45
  • Lunch: 12:45-14:00
  • Thematic Sessions 2: 14:00-16:30
  • Apéro Riche (proudly offered by die Mobiliar): 16:30

Detailed Schedule

09:30-09:45 D. Wilhelm: "Welcome and Introduction" (TN E0.46-54)
09:45-10:30 B. Peterson: "Machine Learning in Trading" (TN E0.46-54)
  Finance 1 (TS 01.40) Industry 1 (TN E0.46)
10:45-11:15 J. Papenbrock: "Financial Networks and related AI in Financial Services" C. Spindler: "Automated machine learning in transactional data"
11:15-11:45 J. Lorenz: "Forecasting financial markets using boosted decision trees" S. Vascon: "Hume-Nash Machines: Context-Aware Models of Learning and Recognition"
11:45-12:15 P. Böhi: "Credit Risk Evaluation with Machine Learning Techniques" M. Fengler: "Solar and wind power forecasting"
12:15-12:45 C. Bruffaerts: "Recommender Systems for Personalized Investment Proposals" D. Mordaunt: "4D imaging and modelling for plastic surgery"
  Finance 2 (TS 01.40) Industry 2 (TN E0.46)
14:00-14:30 M. Fengler: "Does sentiment drive the market?" J. Giesen: ""
14:30-15:00 N. Packham: "Tail-risk protection trading strategies" H. R. Moser: "Generalized entropies in empirical time series: inherent properties and forecasting intervals"
15:00-15:30 S. Amen: "Using Big Data to trade macro assets" R. Istrate: "Incremental Training of Deep Convolutional Neural Networks"
15:30-16:00 H. Stutz: "Predicting Tail Events for Equity Indices using Machine Learning Algorithms" J. P. Carbajal: "Speeding up numerical simulators with emulators"
16:00-16:30 M. Wüthrich: "Machine Learning applied to Non-Life Insurance Problems" C. Jaeger: "Energy management in HVAC, from classical optimization to artificial intelligence"


Travel to ZHAW School of Engineering, Winterthur

From the Zürich airport local transport brings you to the centre of Winterthur in just 20 minutes.

The conference takes place in a short walking distance to the train station. Numerous hotels in the immediate vicinity will ensure a pleasant stay in Winterthur

By train
The trains run as often as every 15 to 20 minutes from Zürich Airport and Zürich City and take about 15 minutes to arrive in Winterthur.

From the main railway-station, the conference location can be reached within a walking distance of less than 5 minutes.

By Car

Organizing Committee

Program Comittee