Embed Size (px)
Citation preview
18 -19 October 2018Lugano, Switzerland
FTAL conference on Industrial Applied Data Science
This first joint research conference of Swiss Universi-ties of Applied Sciences (UAS) on Data Science is designed for scientists, professors, and Master stu-dents, as well as for industrial partners. The goal of FTAL18 conference is to show UAS’s research and applied activities in Data Science, to increase knowledge transfer within the FTAL “Research Com-munity” and to act as a networking event between researchers, Master students in Engineering and Life Sciences and industrial partners.In order to address the growing influence of Data Science on many aspects of our lives, FTAL, the Association of Swiss Schools of Engineering, Archi-tecture and Life Sciences, organises a scientificconference on applied research activities of its 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 in Life Sciences offers the new option “Applied Computational Life Sciences“ and starting in autumn 2018 the MSc in Engineering will propose the new option “Data Science”.
FTAL conference 2018
Table of contents
WelcomeIntroduction of the Scientific committeeOrganising institutionsSponsorsOrganisationPractical informationDay schedule: Thursday, 18thDay schedule: Friday, 19thOpening sessionPlenary sessionOral presentationsPoster session and best poster award
6811121315182122242632
Acronyms andabbreviations
Austria
Bern University of Applied Sciences
Columbia
Germany
Fernfachhochschule Brig
University of Applied Sciences and Arts Northwestern Switzerland
University of Applied Sciences of Eastern Switzerland
Hochschule für Angewandte Wissenschaftfen St. Gallen
Fachkonferenz der technischen Fachbereiche der schweizerischen
Fachhochschulen
School of Engineering Neuchâtel
School of Business Administration Geneva
School of Engieneering HES-SO Valais-Wallis Sion
School of Engineering and Architecture Fribourg
School of Engineering and Management Yverdon-les-Bains
School of Engineering, Architecture and Landscape Geneva
University of Applied Sciences and Arts Western Switzerland
Lucerne University of Applied Sciences and Arts
Hochschule für technik Rapperswil
Hochschule für Technik und Wirtschaft Chur
Italy
Interstaatliche Hochschule für Technik Buchs
University of Applied Sciences and Arts of Southern Switzerland
Zurich University of Applied Sciences
AT
BFH
CO
DE
FFHS
FHNW
FHO
FHS
FTAL
HE-ARC
HEG
HEI
HEIA-FR
HEIG-VD
HEPIA
HES-SO
HSLU
HSR
HTW
IT
NTB
SUPSI
ZHAW
6 7
Welcome
Dear colleagues, students and guests,
On behalf of FTAL and the hosting University of Applied Sciences and Arts of Southern Switzerland SUPSI, we would like to welcome you to the first FTAL conference 2018 in Lugano.
In a more and more competitive and dynamic global research and innovation framework, the Swiss Universities of Applied Sciences network may represent a crucial actor to support the leading position in innovation held by Switzerland and recognised at international level.
Therefore it will be of major relevance to strengthen the UAS applied research network by increasing mutual knowledge sharing, developing common research projects and acting as networked community towards larger international institutions and industries.
Knowing that and in order to move one step forward in achieving such a valuable objective, FTAL will promote further cooperation among the Swiss UAS systems and its stakeholders, with particular focus on applied research fields of major industrial relevance. In such a context, the first FTAL conference on the topic of Industrial Applied Data Science has been launched in Lugano in 2018.
We are confident that all participating UAS researchers and students, as well as industrial partners, may exploit such an opportunity to increase mutual knowledge, enforce their networks and enjoy our FTAL community: a key actor of growing relevance in the Swiss applied research and innovation system.
Finally, we would like to thank our sponsors, the contributors and all other persons involved in the organisation of this conference, especially the Department of Innovative Technologies of SUPSI, as well as Christine Menghini from the FTAL Office.
We wish you all a fruitful conference and pleasant stay in Lugano.
Prof. Olivier NaefPresident FTAL
Prof. Dr. Emanuele CarpanzanoFTAL conference Chairman
8 9
Introduction of the scientificcommittee
Dear colleagues, students and guests,
This first research conference of Swiss Universities of Applied Sciences is devoted to Industrial Applied Data Science. This topic has aroused great interest among researchers and students of the seven Swiss UAS. In total, we have accepted 58 papers divided in four categories, Industry Production and Logistics (12 oral papers and 13 posters), Energy and Environ-ment (7 oral papers and 5 posters), Life Science and Healthcare (9 oral papers and 9 posters) and Finance, eCommerce, Blockchain (with 1 oral paper and 2 posters). Topics span from research on Deep Neural Networks, Advanced Statistics, Machine Learning, Data mining, Bayesian Networks to appli-cations to real-world problems like (among others) 3-D printing, Stroke detection, Mobile data analysis, Time series prediction, Industrial anomaly detection,Microwave tomography and Risk investigation.
With these interesting papers, the conference has been organised with seven oral presentation sec-tions, three sections the first day with three papers each, and four sections the second day with four papers each. A poster session during the first day is devoted to discuss these research subjects and to award the best poster.
The conference also proposes two plenary sessions: the first one with Dr. Alessandro Curioni, IBM Fellow, Vice President Europe and Director, IBM Research – Zurich, titled “Making the Impossible Possible with AI”, while the second plenary session is presented by Prof. Dr. Christian Lovis, Professor and chairman
Division of Medical Information Sciences, University Hospitals of Geneva (HUG) who will talk about “Big Data in Health: Hopes and Challenges”.
In these two sessions, we will have the opportunity to discuss the state of the art methodologies and to investigate the next challenges in the Data Science discipline.
We also leave room to present UAS activities in data science, with a special section where each UAS is presenting and discussing his running activities in the domain, with the goal of creating further collab-orative research opportunities.
Lugano is a wonderful city in this period and you will enjoy the “aperitive riche”, lunch and coffee breaks with the opportunity to take advantage of the conference also to engage in networking activities among participants.
On behalf of the Scientific committee, I would like to welcome all of you to this special event.
Prof. Dr. Luca Maria GambardellaHead of the Scientific committee FTAL conference 2018
10 11
Zurich Universityof Applied Sciences
Organising institutions
The following Universities of Applied Sciences are members of FTAL
BFH Bern University of Applied SciencesFalkenplatz 24
3012 Bern
www.bfh.ch
FHNW University of Applied Sciences and Arts Northwestern SwitzerlandBahnhofstrasse 6
5210 Windisch
www.fhnw.ch FHOUniversity of Applied Sciences of Eastern SwitzerlandBogenstrasse 7
9000 St.Gallen
www.fho.ch
HES-SOUniversity of Applied Sciences and Arts Western SwitzerlandRoute de Moutier 14, CP 452
2800 Delémont
www.hes-so.ch
HSLU Lucerne University of Applied Sciences and ArtsHochschule Luzern
Werftestrasse 4
6002 Luzern
www.hslu.ch
SUPSI University of Applied Sciences and Arts of Southern SwitzerlandLe Gerre, Via Pobiette 11
6928 Manno
www.supsi.ch
ZHAWZurich University of Applied SciencesGertrudstrasse 15
CH-8401 Winterthur
www.zhaw.ch
12 13
Sponsors
Golden sponsor
Silver sponsor
Bronze sponsor
Our thanks for the support
Steering committee Prof. Dr. Emanuele Carpanzano (FTAL conference Chairman)Prof. Olivier Naef (President FTAL) Prof. Dr. Falko Schlottig Prof. Dr. Viktor Sigrist
Scientific committee Prof. Dr. Dominique Brodbeck Prof. Marcel Burkhard Prof. Dr. André Csillaghy Prof. Dr. Roger Filliger Prof. Dr. Luca Maria Gambardella (Chair) Prof. Dr. Martin Melchior Prof. Dr. Elena Mugellini Prof. Dr. Philippe Passeraub Prof. Dr. Andres Perez-Uribe Dr. habil. Michael Schreiner Prof. Dr. Philipp Schütz Prof. Dr. Thilo Stadelmann
Local organising committee SUPSI - Department of Innovative Technologies Andrea Degiorgi-Wermelinger (Chair), Matteo Cremaschi, Flavio Righi, Mariangela Ferracini, Yathusan Ramasamy.
Helpers and volunteersStaff and students from the University of Applied Sciences and Arts of Southern Switzerland (SUPSI), Department of Innovative Technologies.
Organisation
SUPSI
HES-SOFHNWHSLU
FHNWZHAWFHNWBFHSUPSIFHNWHES-SOHES-SOHES-SOFHOHSLUZHAW
14 15
Ospedale Civico
Pista di ghiaccio Resega
Laghetto di Muzzano
Lago diLugano
Parco Tassino
Parco di Villa Florida
Parco Guidino
Parco San Michele
Parco di Villa Heleneum
Parco dell’Olivo
Parco di Villa Negroni
Parco Ciani
ParcoSaroli
Lugano Airport
Debarcadero Giardino
Debarcadero Centrale
Debarcadero Paradiso
Debarcadero
DebarcaderoCastagnola
Debarcadero
Debarcadero
Funicolare San Salvatore
Funicolare Monte Brè
Stazione FFS
Stazione FLP
Pensilina BUS TPL
Stazione Autopostale
Funicolare TPL
Castagnola
Monte Brè
Aldesago
Cassarate
Albonago
Bozzoreda
Ligaíno
Orlino
Savosa
Crocifisso
Massagno
Loreto
BiognoSorengo
S. Grato
Cortivallo
Gentilino
Paradiso
Vezia
Porza
Viganello
Pazzallo
Breganzona
Noranco
Pregassona
Cureggia
V. PARINI
VIA BOSCHINA
VIA INDUSTRIA
VIA M
ONTA
RINA SENTIERO DEI FIORI
VIOTTOLO DEGLI AGAVI
SAL. OL EAN D
RI
SA
L. S. GRAT O
DEL LE VIGNE
SENTIERO DI GANDRIA
SAL. CAPPELLETTO
VIA SELVA PIANA
SCAL
. DEI
BOS
CHI
S.TRONA
SALITA ALDESAGO
SENTIERO TRONA
SENTIERO PISSINO
SENT
IERO
PONTACCIO
S.RA
VA
SENT. CAM
PA
CCIO
V.
SERGE NT ESENTIERO CAVA
N
V. DE L BOSCO
S. DEI
CASTA
GNI
SCALINATA ALLA TORRETTA
SALITA VALLÉE
SENTIER
O BOGGIONA
VIA SALUTE
SAL. DE
I CASTAGNI
SALITA DEGL I OLIVI
SAL. ALLA CHIESA
SASL DEG
LI OLIVI
VIA G. DISCEPOLI
SCAL
INAT
A DE
I SASSI
GRAD
INATA A
LBON
AGO
VIA BELLAVISTA
VICOLO OMBROSO
V. TORCHIO
SENTIE
RO NEVACA
SENTIER O DI C
A MÀ
VIA
ALBO
NAGO
SALITA AG RESTE
VIA
BOSC
HINA
VIA MAGATTI
S. DEGLI ANGIOLI
V. PERIV. SEM
PIONE
V. ARIOSTO
CONTR. DI VERLA
VIA G.CARDUCCI ORFA
NOTR
OFIO
VIC.
V.CANOVAV. SOAVEV. PETRARCA
V. CATTEDRALE
SAL. CHIATTONE
SALITA DEI FRATI
VIA
NASS
AV.
MOT
TA
V. LUVINI
V. BA
ROFF
IO
V. G
ALLI
VIA G. ZO PPI
SALITA DEI FRATI
V. P
ESSI
NA
V. VEGEZZI
CROC. CORTOGNA
V. BERTACCIOV. BORGHETTO
V. AL F ORTE
V. FERRI
VIA
ALLA
CAM
PAGN
A
V. M
ONTE
CARMEN
VIA CASTAUSIO
V. RICORDONE
V. B
. LON
GHEN
A
V. B. L
ONGH
ENA
V. D
EI R
ONCH
I
VIA COLLINA
VIA
COLL
INA
V. LUGANETTO
V. F
OGAZ
ZARO
V. V
OLTA
VIA CISERI
VIA G. CURTI
VIA FUSONI
VIA AGLI ORTI
VIA TASSINO
V. DU
FOUR
VIA E. MONTALE
VIA BELVEDERE
V. ORTI
V. MONTE BRÈ
V. M
ARCO
DA
CARO
NA
VIA
BOSC
IORO
V. CROCET TA
VIA DOMINIONE
VIA MERLINA
VIA L. TADDEI
V. DE
L CA
NVET
TO
V. LOSANNA
V. C.
CAN
TÙ
V. DEI GELSIV. G. GUISAN
V. DELLE AIE
V. VIGNOLA SALITA VIARNO
V. DELLE ROSE
V. FOLA
VIA
BOSC
HINA
VIA DEL SOLEVIA DEL SOLE
V. MIRA
LAGO
V. CROCETTA
VIA ALLE VIGNE
VIA VEDREGGIO
V. ALLA BOZZOREDA
V. AL
LA B
OZZO
RED
A
VIA M
ERLE
CCO
VIA G. MAGGI
V. INDUSTRIA
VIA
ARBOST
RA
VIA
G. M
ARAIN
I
VIA TERZERINA
V. RONCHETTO
V. STAZIO NE
VIA
SONV
ICO
VIA
RONC
HETT
O
VIA CHIOSSO
STR S
OS
V IA T
REVA
NO
VIA AL
CAST
ELLO
VIA
C. M
ARAIN
I-SOM
MAR
UGA
VIA E . MARAINI
VIA SOLA
RO
VIA VI
RA
VIA
VIRA
VIA
LE C
OSTE
VIA BORSARI-W
ÄLTI
VIA
POGG
IOLO
V. PRACCIO
V. R
OVE
LLO
S. VINORUM
V. PRACCIO
V. AL R
OCCO
LOVI
A E.
MAR
AINI
VIA E.
MAR
AINI
V. P
ELLO
NI
V. N
AVES
CO
VIA N
AVON
E
VIA D. FONTANA
V. A A
DAMIN
I
V. MONTARINETTA
VIA
LUCE
RNA
VIA AL PONTE
V. L
ISAN
O
VIA DUNANT
VIA
CABI
ONE
VIA SINDACATORI
VIA GENZANA
V. PASQUÉEV. LEMA
V. MADONNA DELLA SALUTE
VIA
MOR
ENA
V. CERESIO
VIA G.
GUISA
N V. P OVRÒ
V. MAR
TIGNO
NI
VIA CIUSARELLA
V
IA VAL G
ERS A
VIA CENTRO S PO RTIVO
V. C
AMPO
DEI
FI
ORIV. M
ATTRO
VIA B
ELVE
DERE
ZONA ALLE BOLLETTE
VIA CIOSS
V. ROM P OR ADA
V. CARTI ERA V. VALLAA
V. G
. DA BIS
SONE
VIA TASSINO
VIA G. BUFFI
VIA A. VANONI
V. OL
GIAT
I
S. D
EI C
ASTA
GNI
STR.
REG
INA
V. LO
RETO
VIA ALLA VETTA
VIA BARÉVIA RAVA
VIA BASSON E
VIA BOS CO
VIA
DE
L BOSCO
VIA FIORITA
SENT. PONTACCIO
VIA P
ROBE
L LO
V. FONTANA
VERDE
V. CH
I ESA
DI P
AZZA
LINO
VIA S. GOTTARDO DI CUR EGGIA
SENT
. BOL
LA
ZONA BRÈ
V. RONCO V ILLA
V. S
ALA
V. VEDÒ
V. RA MELLO
V. AL
MUL
INO
V. RONC
HETT
O
V. SA
N PIETRO
STR. DI S O RAGN
O
VIA DE
I RONCH
I
VIA S
ELVA
DEL
LA C
HIES
AV. RAPI A
V. TO
RCIN
VIA NAVA
VIA PEZÒ
VIA VIGIN
VIA VE
CCHI
O TR
AM
VIA A
L BAR
ELL
V. DE
LLA Z
OC A
VIA VENTUNO
VIA BELVEDERE
V. BÜRIC
H
V. AL M
AGLIO
V. POSGESA
V. M
ATTA
RELL
O
V. CAMPAGN
A
V. S. BERNARDO
V. PE
ZZOL
O
V. SO
TTOV
IA
VIA NASORA
VIA TA
VERN
OLA
VIA CANTONALE
V. LIM
OSNA
V. CANAVEÉ
V. AL BALLO
V. DE
LL
E SCU
OLE
V. TA
VESIO
VIA RISC IAGO
V. GR
UMENTALE
VIA CENTRO TV
V. RO
NCO NUOVO
V. P
RIM
INZI
NO
VIA AI
RONCHI
V. CUREGLIA
VIA
PRÉE
VIA
PIAN
A
V
I A BURG H
VIA
MAR
TERVIA ALLA MONDA
ORTI DI GAGGIO
V. M
ONDA
V. MORNATO
V. M
OTO
V. QUADRELA
VIA RONC HETT
O
V. TAVERNACCIAVIA CADEM
PINA
V. CEVOV. GE
R VASIO
V. CANEG GIO
V. R
ONCH
ETTO
VIA
NOLIN
A
V. TREVERSÉE
VIA
MOR
OSIN
I
VIA
DEL
SOLE
VIA
SAN M
ARTINO
VIA
MAR
NIG
O
VIA
SELV
A
VIA AI PLATANI V. VERDELLO
VIA ALLA CAMPAGNAV. TRIDA
V. TRID A
VIA PI
AN DEL B
OSCO
VIA S
. ROC
CO
VIA AI R
ONCHI
VIA S. F
RANCESCO
VIA PIAN GAL
LINA
VIA PANISCERA
VIA BRUG
LINO
VIA REGINA
VIA
ALLA
MON
DA
VIA SA
N MAR
TINO
VIA RONCACCIO
V. FIORITO COLLEVIA PIÈ DI RONCO
VI A V
ER
DELLA
V IA
AI R
ONCH
I
VIA
INDU
STRI
A
V. PONTEGGIA
V. AL LOCO
V. PONTEGGIA
V. CHIOSO
V. AL BOSCO
V. CASTAGNETOV. PIATA
V. BE
RNAS
CONI
V. CAMPAGNA
VIA SOLE
VIA SOLDINO
V. C
RIVE
LLI T
ORRI
CELL
I
V. B. BERTONI
V. MON
CUCC
HETT
O
V. PANERA
VIA
ALLA
CAS
SINA
VIA
BIOG
GIO
VIA C
À DE
L CA
CCIA
VIA BIOGGIO
VIA AL MULI NO
VIA C
À D EL CACCIA
VIA
AI CE
DRI
VIA G ERBONE
VIA A L LA RESSIGA
VIA
AI LO
TTI
VIA LU
VE
LINA
VIA
BORR
OMINI
VIA MATTRO
VIA STRE CCIA
VIA M
ORBIO
VIA CANVA
VIA
E.O.
BAL
LY
VIA BOGGIAV. DELLE SCUOLE
VIA S. SALVATORE
VIA F. ZORZI V. AI GROTTI
VIA S. P
IETRO PA
MBIO
V. CARZO
V. GERETTA
V. G
. GUI
SAN
VIA GUIDINO SUPERIORE
V. ANTONIETTI
V. LEVINA
V. AL
LA FONTANA
V. FU NICOLARE
VIA AI RONCHI
VIA SENAGO
VIA SENAGO
VIA
AL GAGGIO
V. MINUDR
A
VIA
DEI F
AGGI
V. C. AZZURRA
VIA
CASS
ARIN
ETTA
VIA
AL B
OSCH
ETTO
VIA
MON
TALB
ANO
VIA NOCC
V. CA
LPRIN
O
V. RI
GHE
TTOV. AL RONCO RIVA
V. GIROGGIO
VIA
GIRO
GGIO
V. NOALE
V. SANT’ANNA
VIA ARCH RINO TAMI
V IA AL COLLE
V. AI
FIO
RI
VIA S. GRAT
O
V. AI
GRO
TTI
V. RONCHETTO
V. RU
BIAN
A
V. BE RE
NICEV. A
LLE CAV
E
V. RESTABBIO
V. CIUSARETTAV IA AL LAGHETTO
V. ALLA CAMPAGNA
STR. DA PAMBI
STR. DAL MATOR
STR.
VAJ
ÉE
STR. VED
RIS
ÈLL
STR. DI FURNAS
STR. DA IGIASTR.
DA
NURA
NCH
LA RISCIADA
VIA A
I PRE
E
VIA
CIVR
A
V. ALLA CAVA
SOTT’C À
VIA MAT
ORE
LL
VIA PRIMASACC
VIA AI CANVETT I
VIA
CANV
ETTI
SOTT
’CÀ
VIA ALLA CAMPAGNA
VIA RISCIANA
VIA RISCIANA
V. CH
IOSO
V. CHIOSO
V. AL COTT
ORADO
V. AL
LE FO
NT
ANE
V. CA DI S
OTTO
VIA
RO
VENCANO
VIA ALLA SELVA
V . VERZINO
VIA
MUZZ
ANO
VIA. C
REMIGNONE
VIA IN
G L.
CASA
LE
V. G
EMM
OV.
GEM
MO
V. AL MORETTO
V. LU
CINO
V. VALL EGGIA
VIA VERGIÒ
V. BREGANZONA
VIA G. CANEVASCINI
VIA DEI BONOLI
V. ROVERE
V. C
ASSI
N
E
V. PRADA
V. SAN CARLO
V. ALLA CAVA
PASS. ALLE SCUOLE
V. M
EDI
V. CASARIC
O
V. B
IOGGIO
V. CRESPERO NE
V. CRESPERA
VIC.. CHIOSO
VIA V
ISAN
O
V. A
L PO
ZZO
VIC. DEI CONTI
V. S. ANTONIOV. CAMARA
VIA COSTERA
VIA DEI CASAGRANDE
V. C
R EVUGLIO
V. P RADELLO
V. DEI SOMAZZI
VIA
SARE
SA
V IA AL PERATO
VIA AL POGGIO
VIA CARÀ
V. A
LLA
CHIE
SA D
I BIO
GNO
VIA
ORBI
SANA
V. FONTANELLA
VIA
MAO
LINO
V. DEI PANORA
V. OR
BISA
NA
VIA
INDU
STRI
AVI
A PO
BIET
TE
VIA
VIOL
INO
V. GERRE
V. PIEDE VIGANO
V IA SEREN ELLA
V.
S. SIRO
V. SOTTO SALA
VIA GU IONI
VIA LOCO
VIA LIGAINO
VIA LIGAIN O
VIA
CORT
E
VIA
CORT
E
VIA CORTE
STR. DA L’ORT
VIA
PARC
O CA
MPE
STRO
STR. B
AGIÓ
N
STR.
SAPÈLL
ST
R. DAL CIOSS
VIA
ALLA
CAM
PAGN
A
VIA CAPRINO
V. SE
LVET
TA
V. SO
LARO
V. RO
DREE
VIA
B. L
AMBE
RTEN
GHI
V. AL FIUME
VIA R UGGÌ
VIA
BELV
EDER
E
VIA
SASS
AVIA
MIR
AVAL
LE
VIA SIONE
VIA P. CAMPAGNA
V. AL ROCCOLO
V. P RA
DA
VIA
PIRO
VIA AL GAGGIO
V. MORELLA
V. NOSEDO
V. G. POCOBELLI
V. D
EI B
ARCH
ETTA
V.
BORA
DE BESA
V. COLLINA D’ORO
V.
QUIETE
V. CA
STE
LLETT
O
VI A AI RONCHI
VIA B
OLIO
VIA LID
O
VIA
MON
TARI
NA
CONT
R. B
AREG
OTT
V. B ERNA
V. C
AMOG
HÈ
V. S
IMEN
V. PETRINI
V. MERCOLI
V. MOLAV.
NOL
GIO
V. S
AN
SALV
ATOR
E
VIA RONCAC
CIO
V. JEL
MIN
I
V. AL
COLL
E
V. SER
ODINE
V. ALLA ROG
GIA
V. B
ONOL
IV. G. ADAMINA
V. D.
ABE
TI
V. ALLA PIANA
VIA CANTONALE
VIA AL CAMPANILES. DEI CASTAGNI
VIA GUIDINO SUP
E RIORE
V. BARZ
AGHI
I
V. ZUCCOL I
VIA SENAGO
V. SELVA
VIA R
OSSA
GO
V. DALDINI
VIA S.
ROCCO
VIA
S. L
OREN
ZO
VIA
STAU
FFAC
HER
SALI
TA B
OSSI
VIA FOCE
VIA
G. M
OTTA
V. MARCONI
V. T. TASSO
PIAZZ. STAZIONE
V. LO
RETO
VIA
A. S
OLDA
TI
VIA BOTTOGNO
VIA MAGGIO
VIA GIULIO VICARI
VIA MOLINAZZO
VIA DEL TIGLIO
VIA SPERANZA
VIA P. LUCCHINI
VIA E. BOSSI
VIA MASSA
GNO
VIA
GERS
O
VIA L. CANONICA
VIA LAVIZZARI
LANDRIANI
V. SOMAINI
V. GREINA
VIA D’ALBERTIVI
A F.
PELL
I
V. FRASCA
VIA P. CAPELLI
VIA BASILEAVIA T. RODARI
VIA DELLE SCUOLE
VIA
PEDE
MON
TE
VIA PICO
VIA CONCORDIA
VIA ARCIONI
VIA V.VELLA
VIA CAMPO MARZIO
VIA P. REGAZZONI
VIA ALLA ROGGIA
VIA MUGGINA
VIA GUGGIROLO
SAL. DELLE GINESTRE
VIA AL
BONAG
O
VIA A
L RU
SCEL
LO
VIA SOLEVIA NO
VA
VIA BELLAVISTA
VIA
MAX
FRI
SCH
VIA FOLA
VIA AL
NID
O
VIA MONCUCCO
VIA
F. BO
RROM
INI
VIA G. STABILE
VIA G. MOTTA
VIA
B. F
OLET
TI
V IA TREVANO
VIA SAN GIORG
IO VIA SAN GIORGIO
VIA CORTIVOVIA VIOLETTA
V IA TAMPORIVA
VIA NOSE DA
VIA VALL’ORBA
VIA ALLA FONTANA
VIA MASSAGO
DELLE VIGNEVIA TANELLO
VIOTTOLO FRASSINI
VIA ALDESAGO
VIA BRÈ
VIA AL ROCCOLO
STR.
DEL
LA S
TAM
PA
VIA
CAM
ARA
VIA
AL L
AGHE
TTO
VIA
CORT
IVALL
O
VIA ALLA CHIESA
VIA AL CHIOSO
V. GIACOMETTI
VIA CO
REM
MO
VIA C
ORTIV
ALLO
VIA FOSCOLO
VIA APRICA
V. S. MICHELE
V. MARCONI
VIA LUGANO
V. FRONTINI
VIA SERAFINO BALESTRA
VIA GINEVRA
CORS
O EL
VEZI
A
VIA
PIOD
A
VIALE CA
SSARATE
VIA CLEMEN
TE M
ARAI
NI
VIA A. ADAMINI
SV
INCO
LO L
UGAN
O SU
D
RIVA
A. C
ACCI
A
RIVA
V. V
ELA
VIA
SAN
GOTT
ARDO
V. ALBRIZZI
V. DELLA POSTA
VIA PONTE TRESA
VIA
SORE
NG
O
VIALE CASTAGNOLA
VIA P. CAPELLI
VIALE DEI FAGGI
VIA
PRET
ORIO
VIA
SAN G
OTTA
RDO
VIA
CANT
ONAL
E
VIA
TES S
ERET
E
VIA
G. B
AGUT
TI
VIA CERESIO DI SUVIGLIANA
VIA
GIAC
OMO
E FI
LIPP
O CI
ANI
VIA
SELV
A
VIA BELTRAMINA
VIA MONTE BOGLIA
VIA GIACOMO BRENTANI
VIA
TESS
ERET
E
VIA
ADOL
FO E
OSC
AR T
ORRI
CELL
I
VIA ZURIGO VIA MADONNETTA
VIALE CASSONE
VIA SO
NVICO
VIA SO
NVICO
VIA
TRE
VANO
RIVA PARADISO
VIA
ANT
O NIO
RIVA
VIA
GIUS
EPPE
MAZ
ZINI
VIA BESSO
VIA
MAN
ZONI
VIA SAN GOTTARDO
V IA L EPOR
I
VIA DOTT. G. POLAR
VIA CAMPAGNA
VIA
KOSC
IUSZKO
VIA RIVIERA
STR. DI GANDRIA
STR. DI FULMIGNANO
STR.
DI P
REGA
SSON
A
STR.
CAN
T ON
ALESTR
. PONTE DI VALLE
VIA CAMARA
VIA CARONA
VIA CALPRINO
VIA
LA S
GUAN
CIA
VIA
SAN
T’AB
BOND
IO
VIA PIAN SCAIROLO
VIA
PIAN
SCA
IROL
O
VIA COLLIN A D’O
RO
VIA BIOGGIO
VIA
CANT
ONAL
E
VIA PARADISO
VIA
ERNE
STO
BOSI
A
VIA BIOGGIO
V. F
RANS
CINI
VIA
CARL
O M
ADER
NO
VIA
F. P
ELLI
VIA LA SANTA
VIA PAZZ
ALINOVIA EM
ILIO RAVA
VIA
CERE
SIO
VIA ALLA BOZZOREDA
VIA
TREV
ANO
VIA RUVIGLIANA
VIA
AVV
. B. L
EONI
VIA
CANT
ONAL
E
VIA CENTRO TVVIA CUREGLIA
VIA
PREL
UNA
VIA AL LIDO
VIA CANTONALE
VIA
AL TE
GLIO
V. NIZ
ZOLA
VIA
SAN
GOTT
ARDO
VIA
TESS
ERET
E
VIA CATTORI
VIA
CANT
ONALE
CORSO PESTALOZZI VIALE C. CATTANEO
RIVA G. ALBERTOLLI
Chiesa di Loreto
Chiesa Sacro Cuore
Chiesa Sant’Abbondio
Chiesa San
Rocco
Chiesa San
Pietro
Villa Malpensata
Clinica Sant’Anna
Conservatoriodella S. I.
Studio RSI
Clinica Moncucco
Nuovo StudioFoce
Piscina Coperta
Centro Esposizioni
Ospedale Italiano
Università USI
Porto Comunale alla Foce
Villa Saroli
Villa Heleneum
Villa Negroni
Stadio Cornaredo
Ospedale Civico
Cimitero
Resega
Clinica Viarnetto
ChiesaSan Carlo
Chiesa dell’Immacolata
Monastero delle Cappuccine di
S. Giuseppe
CattedraleSan
LorenzoPalazzo
Riva
QuartiereMaghetti Palazzo
dei Congressi
VillaCiani
BibliotecaCantonale Museo
Storia Naturale
Liceo
Palazzo Riva
Palazzo Ransila
P.zaBattaglini
PztaSan Carlo
P.zaRezzonico
PztaMaraini
P.zaCioccaro
P.zaDante
P.zadel Mercato P.za
Castello
Chiesa S.ta Maria degli Angioli
ChiesaSan
Rocco
LAC - Lugano Arte e Cultura
Municipio
Palazzo Riva
Posta
PalazzoGargantini
Il Ciani
Casinò Lugano
Parco Belvedere
P.za B. Luini
P.zaRiforma P.za
Manzoni
P.zaS. Rocco
Chiesa S. Antonio
P.zaIndipendenza
P.zaCattaneo
Lido di Lugano
LidoSan Domenico
LidoRiva Caccia
LidoConca D’Oro
Practical information
Venue Lugano Convention Center Palazzo dei CongressiPiazza Indipendenza 96900 Lugano
Date 18th October 2018, 12:00 – 20:0019th October 2018, 08:00 – 14:30
Emergency contactAndrea Degiorgi-Wermelinger +41 (0)79 817 61 18
Parking It is possible to park the car in the multi-storey car park right in front of the Congress Hall, located under Piazza Castello. Staying overnight in a hotel in Ticino, guests have the possibility to use for free public trans-port thanks to the “Ticino Ticket” (more information on www.ticino.ch/en/ticket).
Onsite registration The access to all the congress activities is subject to registration.All prices are in Swiss Francs (CHF).
Researchers and guests CHF 280.00Students (only Swiss UAS) CHF 180.00
Items included in the registration feeAttendance at all sessions from October 18th to 19th, programme, conference bag, lunch (19.10.18), coffee breaks, Reception (18.10.18).
Registration fees do not include transport and accommodation.
BadgeA name badge with your registration documents will be provided upon your registration at the Convention Center. For security and regulations purposes, the wearing of the badge is compulsory at all times inside the Convention Center and during the conference. Only persons wearing a FTAL confer-ence 2018 badge are entitled to attend meetings and refreshments.
WiFiSSID: PalazzoCongressiPassword: Luga2018
16 17
Main Entrance
B1 B2 B3
A
First floor
Ground floor
Legenda
Conference Rooms
Meeting room
Registration areaand Info point
Poster session
Toilets
Cloakroom
Coffee breaks
C
D
E
CONGRESS CENTERLUGANO
Entrance“E”
10 m
18 19
Room B1 & B2
12:00
13:00
14:00
Registration
Opening and welcome address by FTAL Prof. Olivier NaefPresident FTAL
Keynote speaker introductionProf. Dr. Emanuele CarpanzanoFTAL conference Chairman
Plenary session: “Making the Impossible Possible with AI”Dr. Alessandro Curioni, IBM Fellow, Vice President of Europe and Director of the IBM Research lab in Zurich, Switzerland
Parallel sessionsFinance, eCommerce and Blockchain Room B1Industry Production and Logistics Room B1Energy and Environment Room B3Life Science and Healthcare Room C
Day schedule
Thursday,18th
15:00
16:30
17:50
18.30
Coffee break and Poster session
Data Science @FTALThe different UAS will present their activities related to the Data Science domain
Panel – Foundation of FTAL Research Community on Data ScienceProf. Dr. Luca Maria GambardellaDiscussion about projects, collaborations, vision and the Foundation of FTALResearch Community on Data Science
Reception
20 21
Day schedule
Friday, 19th
Room B1 & B2
09:00
10:00
10:30
12.30
12.45
Keynote speaker introduction Prof. Dr. Luca Maria Gambardella
Plenary session: “Big Data in Health: Hopes and Challenges”Prof. Dr. Christian Lovis, Professor and chairman Division of Medical Information Sciences, University Hospitals of Geneva (HUG)
Coffee break
Parallel sessions Industry Production and Logistics Room B1/B2/B3Energy and Environment Room ELife Science and Healthcare Room B2/C
Best poster awardFTAL Scientific committee
Networking lunch
22 23
Opening session
Abstract 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 is very quickly beco-ming necessary and expected.
As a result there is a race to develop AI solutions that can provide competitive advantage by aug-menting human intelligence and they are based on a formula that includes the advent of small data, more efficient deep learning models, deep rea-soning, new AI hardware and progress toward unsupervised learning.
Making the Impossible Possible with AI
Biography Dr. Alessandro Curioni is an IBM Fellow, Vice Presi-dent 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 elec-tronics. 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 Academyof Engineering Sciences.
Dr. Alessandro CurioniIBM Fellow, Vice President Europe and Director, IBM Research lab - Zurich
24 25
Plennary session
Abstract Personalized and precision medicine, data driven science, artificial intelligence, these last years have seen an impressive raise of digital-related advances that are deeply changing the healthcare system.
However, beside the hype effect, there is still a long way from the lab to the patients and the citizens.
In addition to human factors, societal and legal issues, the success of bridging the gaps will depend a lot on our capacity to address important scientific and technical challenges around data, information and knowledge, improving our capacity to build evidence and to raise trust.
Big Data in Health: Hopes and Challenges
Biography Prof. Dr. Christian Lovis is professor of clinical infor-matics 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 inter-operability. He is member of the executive board of the Swiss Personalized Health network and president of the European Society of Medical Informatics.
Prof. Dr. Christian Lovis 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. He has participated to several start-ups.
Prof. Dr. Christian Lovis Professor and chairman Division of Medical Information Sciences University Hospitals of Geneva (HUG)
26 27
Thursday, 18th
Session Energy and Environment
Room B3
E-01 Estimating the Signal Strength of LoRaWAN with Regression Kriging
Böckle Josef, Frick Klaus, Anselmi Christian
FHO NTB, Things Logic Network (AT)
E-02 Energy demand management by increased user awareness Rizzoli Andrea Emilio
SUPSI
E-03 Big Data system for pantropical land-cover change monitoring
Perez-Uribe Andres, Satizabal Hector
Fabio, Rebetez Julien
HES-SO/HEIG-VD
14:00
14:20
14:40
E
Session Industry, Production and Logistics
Room B1
F-01 DISCOVER - Deep-Web Knowledge Extraction and Fusion for Improved Decision MakingWeichselbraun Albert, Brasoveanu Adrian
M.P., Süsstrunk Norman, Kuntschik Philipp,
Hörler Sandro
FHO/HTW
I-01A cloud based IoT approach for food safety and quality predictionHirsch Sven, Ulzega Simone, Schüle Martin
ZHAW
I-02 Machine Learning for Anomaly Detection in Time-Series Produced by Industrial ProcessesRychener Lorenz, Hennebert Jean
HES-SO/HEIA-FR
Room C
L-01High-level activity recognitionfor cognitive support in older adults
Perez-Uribe, Satizabal Hector-Fabio
HES-SO/HEIG-VD
L-02 Early Detection of Food Intoxication in Switzerland using Twitter Casas Jacky, Zufferey Laurent,
Abou Khaled Omar, Mugellini Elena
HES-SO/HEIA-FR
L-03 Zero-inflated meta-analysis to model rare side effects of medical interventionsWandel Jasmin, Wandel Simon
BFH
Session Finance, eCommerce and Blockchain
Session Life Sciences and Healthcare
F L
I
28 29
Friday, 19th
Room B1
I-03 Machine Learning on Accelerometer Data for Detection of Fence Violations Giusti Alessandro, Broggini Denis, Albertolli
Matteo, Dozio Gian Carlo, Foletti Fabio,
Rivero Armando, Bernaschina Andrea,
Gambardella Luca Maria
SUPSI, Fratelli Albertolli SA
I-04 A data-driven monitoring tool to enhance performance of industrial melting processesGhorbel Hatem
HES-SO/HE-Arc
I-05 Reinforcement Learning in an Industrial Robotics ApplicationFrick Klaus, Lutz Joel
FHO/NTB
I-06 Predictive Quality Management with Bayesian NetworksCorani Giorgio, Bonesana Claudio,
Monti Andrea, Cannizzaro Daniele,
Relea Eduard, Gittler Thomas,
Corti Donatella
SUPSI, Agie Charmilles SA, ETH Zurich
10:30
10:50
11:10
11:30
Session Industry, Production and Logistic
I
Room B2
I-07 Developement of an inductive array Sensor for the Detectionof Metallic ObjectsGnos Tobias
FHO/NTB
I-08 Endowing humanoid robots with the capability of reading and reacting to human body languagePerez-Uribe Andres, Satizabal Hector
Fabio, Gonzales Lopez Francisco
HES-SO/HEIG-VD, Universidad Autonoma
de Occidente (CO)
Room B3
I-09 BBData, a Big Data platform for Smart Buildings Hennebert Jean, Linder Lucy,
Esseiva Julien
HES-SO/HEIA-FR
I-10 Lessons learned from 16 applied data science (meta) case studiesStockinger Kurt, Stadelmann Thilo,
Braschler Martin
ZHAW
I-11 Image-based Measurement of Material Roughness Giusti Alessandro, Dotta Matteo,
Toniolo Stefano, Boccadoro Marco,
Gambardella Luca Maria,
Nasciuti Adriano
SUPSI, Agie Charmilles SA
I-12 A Framework for Text Analytics with Visual Exploration and Machine LearningMetzler Linus, Siddiqui Nadina,
Tuggener Don, Cieliebak Mark
ZHAW
30 31
Friday, 19th
Session Energy and Environment
Room E
E-04 Accurate transport mode detection in Smartphone-based mobility tracking for sustainable mobility applicationsVermes Nicola, Mangili Francesca,
Cellina Francesa, José Veiga Simão
SUPSI
E-05 Detailed data collection and usage allow unprecedented understanding of energy supply and demand dynamics in future smart cities Capezzali Massimiliano, Fesefeldt Marten,
Rager Jakob, Von Gunten Diane,
Puerto Pablo; HES-SO/HEI, Centre de
recherches énergétiques et municipales
E-06 Machine learning and optimization for the design of photovoltaic installationsSalani Matteo, Corbellini Gianluca,
Corani Giorgio
SUPSI
E-07 The world’s first underground AA-CAES pilot plant: modelling and validationRoncolato Jonathan, Zavattoni Simone A.,
Zanganeh Giw, Haselbacher Andreas,
Barbato Maurizio C.
SUPSI, ALACAES SA, ETH Zurich
10:30
10:50
11:10
11:30
ESession Life Sciences and Healthcare
Room B2
L-04 Detection of Skin Affliction using Fully Convolutional Neural Networks Koller Thomas
HSLU
L-05 Deep Learning for Recognizing Sleep Stages from Mobile Sensor DataReimer Ulrich
FHO/FHS
Room C
L-06 AI-based prediction of virus-bacteria interactions as a contribution to fight against antibiotic resistance Leite Diogo, Brochet Xavier, Barreto Sanz
Miguel, Que Yok-Ai, Resch Grégory,
Peña Carlos Andres; HES-SO/HEIG-VD,
Swiss Institute of Bioinformatics, Universi-
tätsspital Bern, University of Lausanne
L-07 D-REX: Improving Deep Neural Networks Understanding via Rule Extraction Despraz Jérémie, Peña Carlos Andres,
Schnyder Stéphane
HES-SO/HEIG-VD, Swiss Institute
of Bioinformatics
L-08 Real-Time Detection of Micro-Expres-sions through New Feature Selection for Helping Doctors to Know Their Patients Daher Karl, Mugellini Elena, Abou Khaled
Omar, Lalanne Denis, HES-SO/HEIA-FR,
University of Fribourg
L-09 A Gamification Approach for Diabetes (T1DM) Management and co-morbidities prevention in Adolescents and ChildrenLuceri Luca, Cardoso Felipe, Leidi Tiziano,
Giordano Silvia, SUPSI
L
32 33
Poster session and best poster award
The organizing committee will set up an exhibition with two-side panels where the posters will be exposed on Thursday, 18th October during the coffee break.
The FTAL organising committee will award the best poster presented at the conference with a special prize of CHF 1,000.
The winner will be selected through a procedure involving all the conference participants, who will receive a voting sheet during the registration reporting the list of posters presented. Following the poster session, each participant will submit his vote.
During the award ceremony (scheduled on Friday, 19th October at 12:30), the winner will present his work in 5 minutes.
Furthermore, following the event, a digital document including the conference proceedings will be published onto the FTAL website.
Posters
F-P01Blockchain technology and decentralized electricity production and trading: towards a peer-to-peer market?Antonioli Mantegazzini Barbara
SUPSI
F-P02 Hierarchical Perceptual Grouping by using Neural Networks Ent-to-EndMeier Benjamin, Stadelmann Thilo
ZHAW
Session Finance, eCommerce and Blockchain
F
34 35
Session Industry, Production and Logistic
I-P01Analytics in Industry 4.0: Improving Business Processes with Process MiningAlbertetti Fabrizio, Ghorbel Hatem
HES-SO/He-Arc
I-P02 Big data and complex networks approaches drive environment-aware advisory in new products development Fontana Alessandro, Sorlini Marzio,
Giordano Silvia
SUPSI
I-P03 BIOSMART? Optimization Software for Biomaterial Packaging of FoodRychener Lorenz, Esseiva Julien,
Hennebert Jean
HES-SO/HEIA-FR
I-P04 Consumers’ Acceptance of the 3D-Printing Technology in FoodGötze Franziska, Delley Mathilde,
Denkel Christoph, Brunner Thomas A.
BFH
I-P05 Data extraction methods applied to automated liquid penetrant inspectionBanfi Michele, Chiericati Daniele
SUPSI
I-P06 Data-to-action in a product service system environment? Lessons learnt from a hackathonStoll Oliver, West Shaun, Rapaccini Mario,
Müller-Csernetzky Petra
HSLU, University of Florence (IT)
I-P07 Dynamic modelling of industrial robots performing Cold Spray processesGitardi Diego, Valente Anna
SUPSI
I-P08 Fully Convolutional Neural Networks for Newspaper Article SegmentationArnold Marek, Meier Benjamin,
Cieliebak Mark, Stadelmann Thilo
ZHAW
I
I-P09 Innovation management for the development of Smart ServicesLivolsi Dominic, West Shaun,
Rapaccini Mario
HSLU, University of Florence (IT)
I-P10Learning from User Clicks on Information Retrieval Ranked ListsTaranova Anastasia
ZHAW
I-P11 NILM for the Industrial Sector Huber Patrick, Kaufmann Lukas,
Rumsch Andreas, Paice Andrew
HSLU
I-P12 Understanding Wicked Problems to build Smart SolutionsStoll Oliver, West Shaun, Rapaccini Mario,
Müller-Csernetzky Petra
HSLU, University of Florence (IT)
I-P13 Visualization Techniques Applied to a Convolutional Network for Robot NavigationPatuzzo Fabrizio, Toniolo Stefano,
Giusti Alessandro, Guzzi Jerome
SUPSI
36 37
Session Life Sciences and healthcare
L-P01Are you serious? Probabilistic Modelling in Deep Neural NetworksMurina Elvis, Dürr Oliver, Tolkachev Vasily,
Sick Beate
ZHAW, HTWG Konstanz (DE),
University of Zurich
L-P02 Arthritis Net: Automatic bone erosion scoring for rheumatoid arthritis with deep convolutional neural networksRohrbach Janick, Reinhard Fabian,
Reinhard Tobias, Dürr Oliver, Sick Beate
ZHAW, Seantis GmbH, HTWG Konstanz (DE),
University of Zurich
L-P03 Deep Neural YodelingPfäffli Daniel, Kammermann Andrea,
Pouly Marc, Vor Der Brück Tim
HSLU
L-P04 Designing novel peptide-binding pro-teins from armadillo repeat proteinsBliven Spencer, Anisimova Maria
ZHAW, Swiss Institute of Bioinformatics
L-P05 Efficient GPU-based Eczema Segmentation with SVMsVor Der Brück Tim
HSLU
L-P06 Machine Learning for Real-Time Analysis of Reader Attention by Facial Expression and Eye Tracking DataMangili Francesca, Antonucci Alessandro,
Poulopoulou Maria Fani, Werlen Egon,
Bergamin Per
SUPSI/FFHS
L-P07 Microwave tomograph for medical applicationSamuel Poretti
SUPSI
L-P08 Predicting Sleep Apnea Events from ECG Sensor Data: Evaluation of Deep Learning ApproachesHahn Heiko
FHO/FHS
L-P09 Stroke detection using convolutional neural networksHerzog Lisa, Murina Elvis, Dürr Oliver,
Wegener Susanne, Sick Beate
ZHAW, University Hospital Zurich
L Session Energy and Environment
E-P01Automatic Keyword Extraction from Discourses to Improve Risk Perception, Scenario Planning and DecisionMaking ProcessesUreta Ivan, Ferrari Alan, Blazquez Victor,
Galli Vanni
SUPSI
E-P02 Model based SOH estimation of a LTO/NMC BatterySchneider Timan, Filliger Roger,
Vezzini Andrea
BFH
E-P03 Numerical Analysis of an innovative PCM Storage System, based on climatic data and experimental measurementsRobadey Jacques
HES-SO/HEFR
E-P04 Thermo-chemical district networks Danesi Serena
ZHAW
E-P05 Valorisation of smart grid monitoring dataDurrer Roman, Businger Felix, Gwerder
Damian, Geidl Martin, Cherepanova
Margarita, Ackermann Rico,
Worlitschek Jörg, Schuetz Philipp
HSLU, Swisscom Energy Solutions,
CTC Giersch AG
E
