Fachkonferenz Technik, Architektur und Life Sciences (FTAL)

Industrial Applied Data Science

About

October 18 and 19, 2018,  Lugano Convention Center

Joint FTAL Research Conference
Hosted by SUPSI - University of Applied Sciences and Arts of Southern Switzerland

  • Industry, Production and Logistics
  • Energy and Environment
  • Life Science and Healthcare 
  • Finance, eCommerce, Blockchain

This first joint research conference of Swiss Universities of Applied Sciences on Data Science is designed for scientists, professors, and Master students, as well as for industrial partners. The goal of FTAL18 conference is to show UAS’s research and applied activities in Data Science, is to increase knowledge transfer within the FTAL "Research Community" and to act as a networking event between researchers, Master students in Engineering and Life Sciences, industrial and international institutions.

In order to address the growing influence of Data Science on many aspects of our lives, FTAL, the Association of Swiss Schools of Engineering, Architecture and Life Sciences, organises a scientific conference on applied research activities of their member schools in this field. The first joint research event will focus on industrial applied research outcomes in this highly topical subject, especially in view of the enhanced offer in the following joint Master programs: Since autumn 2017 the MSc Life Sciences offers the new option “Applied Computational Life Sciences“ and starting in autumn 2018 the MSc Engineering will propose the new option “Data Science”.

Participating Universities of Applied Sciences
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Program

Detailed Program and Proceedings (Download PDF)

 

Thursday 18 October

13:00

Opening and Welcome

Prof. Olivier Naef, FTAL President
 

13:05
 
 

Introduction

Prof. Emanuele Carpanzano, Chairman of the Steering Committee

Special Lecture:
Making the Impossible Possible with AI

Alessandro Curioni – Director IBM Research Zurich
 
14:00

Parallel sessions

 


Finance, ecommerce and block-chain

  • DISCOVER - Deep-Web Knowledge Extraction and Fusion for Improved Decision Making - Weichselbraun Albert, Kuntschik Philipp; FHO (HTW)

Industry, production and logistics

  • A cloud based IoT approach for food safety and quality prediction -  Ulzega Simone; Hirsch Sven; ZHAW
  • Machine Learning for Anomaly Detection in Time-Series Produced by Industrial Processes - Rychener Lorenz; HES-SO (HEFR)

Life Science and Healthcare

  • High-level activity recognition for cognitive support in older adults - Perez-Uribe Andres; HES-SO (HEIG-VD)
  • Early Detection of Food Intoxication in Switzerland using Twitter - Casas Jacky; HES-SO (HEFR)
  • Zero-inflated meta-analysis to model rare side effects of medical interventions - Wandel Jasmin; BFH

Energy and environment

  • Estimating the Signal Strength of LoRaWAN with Regression Kriging - Böckle Josef, Frick Klaus; FHO (NTB)
  • Energy demand management by increased user awareness - Rizzoli Andrea Emilio; SUPSI
  • Big Data system for pantropical land-cover change monitoring - Satizabal Hector-Fabio; HES-SO (HEIG-VD)
15:00

Coffee break and Poster Session

16:30

Introduction of Data Science @FTAL

The different UAS will present their activities related to Data Science domain.
 
17:50

Panel: Foundation of a FTAL Research Community in Data Science

18:30

Aperitif

 

Friday 19 October

 9:00

Introduction

Prof. Dr. Luca Maria Gambardella, Chairman of the Scientific Committee

 

Special Lecture:
Big Data in Health - Hopes and Challenges

Prof. Dr.  Christian Lovis -  Professor and chairman Division of Medical Information Sciences HUG
 

10:00

Coffee break

10:30

Parallel Sessions

 


Industry, production and logistics

  • Machine Learning on Accelerometer Data for Detection of Fence Violations  - Giusti Alessandro,  SUPSI

  • A data-driven monitoring tool to enhance performance of industrial melting processes - Ghorbel Hatem, HES-SO (HE-Arc)

  • Reinforcement Learning in an Industrial Robotics Application - Frick Klaus, Lutz Joel; FHO (NTB)
  • Predictive Quality Management with Bayesian Networks - Corani Giorgio; SUPSI
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  • Developement of an inductive array Sensor for the Detection of Metallic Objects - Gnos Tobias; FHO (NTB)

  • Endowing humanoid robots with the capability of reading and reacting to human body language - Perez-Uribe Andres; HES-SO (HEIG-VD)
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  • BBData, a Big Data platform for Smart Buildings - Hennebert Jean; HES-SO (HEFR)

  • Lessons learned from 16 applied data science (meta) case studies   - Stockinger Kurt, Stadelmann Thilo; ZHAW

  • Image-based Measurement of Material Roughness - Giusti Alessandro; SUPSI

  • A Framework for Text Analytics with Visual Exploration and Machine Learning - Metzler Linus; ZHAW

Life science and healthcare

  • Detection of Skin Affliction using Fully Convolutional Neural Networks - Koller Thomas; HSLU
  • Deep Learning for Recognizing Sleep Stages from Mobile Sensor Data - Reimer Ulrich; FHO (FHSG)
       - - - - - - - - - - - - - - - - - - - - - - - - - -
  • AI-based prediction of virus-bacteria interactions as a contribution to fight against antibiotic resistance - Leite Diogo; HES-SO (HEIG-VD)
  • D-REX: Improving Deep Neural Networks Understanding via Rule Extraction     - Peña Carlos Andres; HES-SO (HEIG-VD)
  • Real-Time Detection of Micro-Expressions through New Feature Selection for Helping Doctors to Know Their Patients - Daher Karl; HES-SO (HEFR)
  • A Gamification Approach for Diabetes (T1DM) Management and co-morbidities prevention in Adolescents and Children - Luceri Luca; SUPSI

Energy and environment

  • Accurate transport mode detection in Smartphone-based mobility tracking for sustainable mobility applications - Vermes Nicola; SUPSI
  • Detailed data collection and usage allow unprecedented understanding of energy supply and demand dynamics in future smart cities - Capezzali Massimiliano; HES-SO (HEIG-VD; HEI Valais-Wallis)
  • Machine learning and optimization for the design of photovoltaic installations - Salani Matteo; SUPSI
  • The world's first underground AA-CAES pilot plant: modelling and validation - Roncolato Jonathan; SUPSI
     
12:30

Best Student Poster Award

FTAL Scientific Committe
 
12:45

Networking Lunch

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Guest Speakers

Alessandro Curioni - Director IBM Research Zurich

Dr. Alessandro Curioni is an IBM Fellow, vice president of Europe and director of the IBM Research lab in Zurich, Switzerland. In addition to leading the IBM Research activities in Europe, he is also responsible for the global research in IoT and Security.
Dr. Curioni is a world recognized leader in the area of high performance computing and computational science where his innovative thinking and seminal contributions have helped solve some of the most complex scientific and technological problems in healthcare, aerospace, consumer goods and electronics. He was a member of the winning team recognized with the prestigious Gordon Bell Prize in 2013 and 2015.
Dr. Curioni received his undergraduate degree in Theoretical Chemistry and his PhD from Scuola Normale Superiore, Pisa, Italy. He started at IBM Research - Zurich as a PhD student in 1993 before officially joining as a research staff member in 1998. His most recent position has been the head of the Cognitive Computing and Computational Sciences department.
In 2017 he was named a member of the Swiss Academy of Engineering Sciences.

 

Making the Impossible Possible with AI

After decades of experiencing a slow burn, artificial intelligence innovation has caught fire to become the hottest item on the agendas of the world's top technology firms. The fuel for this fire? Necessity. Faced with a constant onslaught of data, we needed a new type of system that learns and adapts, and we now have that with AI. What was deemed impossible a few years ago is not only becoming possible, it’s very quickly becoming necessary and expected.
As a result there is a race to develop AI solutions that can provide competitive advantage by augmenting human intelligence and they are based on a formula that includes the advent of small data, more efficient deep learning models, deep reasoning, new AI hardware and progress toward unsupervised learning.

Christian Lovis - Professor and chairman HUG Division of Medical Information Sciences

Christian Lovis is professor of clinical informatics at the university of Geneva and chairman of the division of medical information sciences at the university hospitals of Geneva. He is a medical doctor, board certified in Internal Medicine with special emphasis on emergency medicine. He holds a master in public health from the University of Washington. In parallel to medicine, he studied biomedical informatics at the University of Geneva, focusing on clinical information systems, clinical data interoperability. He is member of the executive board of the Swiss Personalized Health network and president of the European Society of Medical Informatics. Christian is editorial board member of several peer reviewed journals such as PLOS One and has founded four start-up’s. He is the president of the European federation of medical informatics. Christian has participated to several start-ups.
 

Big data in health: Hopes and challenges

Personalized and precision medicine, data driven science, artificial intelligence, these last years have seen an impressive raise of approaches that are about to deeply change the healthcare system. However, beside the hype effect, there is still a long way from the lab to the patients and the citizens. And, besides all human factors, societal, legal aspects, from a pure scientific point of view,  the success of bridging the gaps will depend a lot on our capacity to address important challenges around data, information and knowledge.

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Registration

Registration on website is closed. You can reserve onsite registration

Registration for the FTAL Conference 2018 includes the aperitif, coffee breaks and a lunch.

Fees
 

  Early-bird (by 31 July)            Late
Student CHF 150 CHF 180
Non-student        CHF 250 CHF 280

Registration fees: payment by bank transfer upon paper invoice.
 

Registrations on the conference web site are closed but you can still register directly in Lugano or reserve your on-site registration
 
 

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Organisation

Steering Committe

Emanuele Carpanzano (chair)  – FTAL Committee - SUPSI University of Applied Sciences and Arts of Southern Switzerland
Olivier Naef - FTAL President – HES-SO University of Applied Sciences and Arts Western Switzerland
Viktor Sigrist - FTAL Committee -  HSLU Lucerne University of Applied Sciences and Arts
Falko Schlottig - FTAL Committee - FHNW University of Applied Sciences and Arts Northwestern Switzerland
 


Scientific Committee

Dominique Brodbeck  - FHNW University of Applied Sciences and Arts Northwestern Switzerland
Marcel Burkhard - ZHAW Zurich University of Applied Sciences
André Csillaghy - FHNW University of Applied Sciences and Arts Northwestern Switzerland
Roger Filliger - BFH Bern University of Applied Sciences
Luca Gambardella (chair) - SUPSI University of Applied Sciences and Arts of Southern Switzerland
Geiger Melanie - ZHAW Zurich University of Applied Sciences
Martin Melchior - FHNW University of Applied Sciences and Arts Northwestern Switzerland
Elena Mugellini - HES-SO University of Applied Sciences and Arts Western Switzerland
Andres Perez-Uribe - HEIG-VD  School of Management and Engineering Vaud
Philippe Passeraub - HES-SO University of Applied Sciences and Arts Western Switzerland
Michael Schreiner - NTB The Interstate University of Applied Sciences of Technology Buchs
Philipp Schütz - HSLU Lucerne University of Applied Sciences and Arts
Thilo Stadelmann - ZHAW Zurich University of Applied Sciences
 
 
Organizing Committee

Matteo Cremaschi –  SUPSI University of Applied Sciences and Arts of Southern Switzerland
Andrea Degiorgi (Head) –  SUPSI University of Applied Sciences and Arts of Southern Switzerland
Christine Menghini – FTAL Association of Swiss Schools of Engineering, Architecture and Life Sciences
Giorgia Mosimann – SUPSI University of Applied Sciences and Arts of Southern Switzerland
 
 

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Venue

The Conference will take place at the Lugano Convention Center (Piazza Indipendenza 4, 6900 Lugano), from the 18th of October 2018 to the 19th of Obtober 2018.

By train
You can check the train schedule and make the booking at www.sbb.ch. Lugano has direct train connections departing from:
Zurich HB: Very frequent, travel time approximately 2 hours.
Luzern: Travel time approximately 2 hours.
Basel SBB: Travel time less than 3,5 hours.

By car
Coming from Zurich: You can take the A2 motorway in the direction of San Gottardo-Chiasso-Italy. Advised exit: Lugano Nord.
 

    Accomodation

    Lugano is a small, liveable city that offers all necessary services in a restricted space. The majority of hotels available to participants are situated within a range of 2 km from the conference centre. Many structures are walking distance from the Congress Centre (Palazzo dei Congressi).
    You will find some hotels near Lugano center and Lugano train station designated/suggested for the conference participants.
    In order to book one of these hotels, please contact (by phone or e-mail) Amiconi consulting, at the following e-mail address:
    info@amiconiconsulting.ch
    Please note that the hotel reservation has to be arranged directly by the participant and that the price of accommodation is not included in the registration fee.

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    Contact

    Contact ftal-conference

    For any questions, please do not hesitate to contact us!

     

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    Sponsors

    Local Partner

    SILVER

    BRONZE

    UBS

    Check the sponsoring possibilities

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    Media Relations

    Information Materials for Media

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