Fachkonferenz Technik, Architektur und Life Sciences (FTAL)

Industrial Applied Data Science


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

FTAL Conference 2018: a great success
The conference organised by the Association of Swiss Schools of Engineering, Architecture and Life Sciences (FTAL) was held on 18 and 19 October in Ticino at the Lugano Convention Center. The event involved academics and industrial partners in a discussion on the topic “Industrial Applied Data Science”
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, organised a scientific conference on applied research activities of their member schools in this field. The first joint research event focussed on industrial applied research outcomes in this highly topical subject, especially in view of the enhanced offer in the joint Master programs MSc Life Sciences with the option “Applied Computational Life Sciences“ and MSc Engineering with the option “Data Science”.

Hosted by the Department of Innovative Technologies of the Swiss University of Applied Sciences and Arts of Southern Switzerland (SUPSI), the FTAL conference 2018 involved approximately 115 researchers, 70 master students and 20 industry partners from Switzerland.
The main goal of the conference was the strengthening of the cooperation between the Swiss Universities of Applied Sciences in order to develop a solid network in both the education and the applied research field. The participants had the opportunity to take part to the plenary sessions and workshops focused on different macro-areas: Industry, Production and Logistics; Energy and Environment; Life Science and Healthcare; Finance, E-Commerce and Block-chain.
Students and researchers appreciated the opportunity to interact and discuss possible collaborations between the different schools and research institutes.

    Participating Universities of Applied Sciences
    Back to Overview icon_to_top

    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.

    Back to Overview icon_to_top


    Cover FTAL18 - Proceedings

    FTAL18 - Industrial Applied Data Science
    ISBN 978-2-8399-2549-5

    Download PDF

    Back to Overview icon_to_top


    Detailed Program and Proceedings (Download PDF)


    Thursday 18 October


    Opening and Welcome

    Prof. Olivier Naef, FTAL President



    Prof. Emanuele Carpanzano, Chairman of the Steering Committee

    Special Lecture:
    Making the Impossible Possible with AI

    Alessandro Curioni – Director IBM Research Zurich

    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)

    Coffee break and Poster Session


    Introduction of Data Science @FTAL

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

    Panel: Foundation of a FTAL Research Community in Data Science




    Friday 19 October



    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


    Coffee break


    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
            - - - - - - - - - - - - - - - - - - - - - - - - - -
    • 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)
           - - - - - - - - - - - - - - - - - - - - - - - - - -
    • 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

    Best Student Poster Award

    FTAL Scientific Committe

    Networking Lunch

    Back to Overview icon_to_top


    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

    Andrea Degiorgi (Head) –  SUPSI University of Applied Sciences and Arts of Southern Switzerland
    Matteo Cremaschi (Communication) –  SUPSI University of Applied Sciences and Arts of Southern Switzerland

    Christine Menghini (FTAL office) – FTAL Association of Swiss Schools of Engineering, Architecture and Life Sciences

    Back to Overview icon_to_top


    The Conference took place at the Lugano Convention Center (Piazza Indipendenza 4, 6900 Lugano) from  18 to19 October 2018.

      Back to Overview icon_to_top


      Contact ftal-conference

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


      Back to Overview icon_to_top


      Local Partner




      Back to Overview icon_to_top

      Media Relations

      Information Materials for Media

      Back to Overview icon_to_top