Elena Daraio

Ph.D. in Ingegneria Informatica E Dei Sistemi , 34^th cycle (2018-2021)

Ph.D. obtained in 2022

Dissertation:

Digging Deep Into Urban Mobility Data Through Machine Learning Techniques (Abstract)

Tutors:

Silvia Anna Chiusano

Profile

Research topic

Data science techniques applied to the mobility context in urban scenarios

Research interests

Life sciences

Biography

Elena Daraio is a doctoral student in the PhD curriculum Computer and Control Engineering at the Department of Control and Computer Engineering of Politecnico di Torino. Her current research focus is on supervised and unsupervised machine learning algorithms. Her research interests are in the field of urban intelligence, and in particular related to the analysis of mobility systems, such as car-sharing and on-demand systems, and to the analysis of physiological signals to detect drivers anomalous conditions

Awards and Honors

Corso di "Basi di Dati" del corso di laurea in ingegneria informatica Ore 21 di laboratorio + 18 di tutorato CFU 8 CPD 3.34 (2021)
PhD day for companies https://www.youtube.com/watch?v=RHNVlGLfVbg (2021)

Teaching

Teachings

Bachelor of Science

Basi di dati. A.A. 2018/19, INGEGNERIA INFORMATICA. Collaboratore del corso
Basi di dati. A.A. 2019/20, INGEGNERIA INFORMATICA. Collaboratore del corso
Basi di dati. A.A. 2020/21, INGEGNERIA INFORMATICA. Collaboratore del corso

MostraNascondi A.A. passati

Publications

Works published during the Ph.D. View all publications in Porto@Iris

Daraio, Elena (2022)
Digging Deep Into Urban Mobility Data Through Machine Learning Techniques. relatore: CHIUSANO, SILVIA ANNA; , 34. XXXIV Ciclo, P.: 190
Doctoral Thesis
Daraio, Elena; Cagliero, Luca; Chiusano, Silvia; Garza, Paolo (2022)
Complementing Location-Based Social Network Data With Mobility Data: A Pattern-Based Approach. In: IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, vol. 23, pp. 21216-21227. ISSN 1524-9050
Contributo su Rivista
Daraio, Elena; Cagliero, Luca; Chiusano, Silvia; Garza, Paolo; Giordano, Danilo (2020)
Predicting Car Availability in Free Floating Car Sharing Systems: Leveraging Machine Learning in Challenging Contexts. In: ELECTRONICS, vol. 9. ISSN 2079-9292
Contributo su Rivista
Daraio, Elena; Cagliero, Luca; Chiusano, SILVIA ANNA; Garza, Paolo; Ricupero, Giuseppe (2020)
An explainable data-driven approach to web directory taxonomy mapping. In: 24th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems, Verona (IT), 16-18 september 2020, pp. 1101-1110. ISSN 1877-0509
Contributo in Atti di Convegno (Proceeding)
Cagliero, Luca; Chiusano, SILVIA ANNA; Daraio, Elena; Garza, Paolo (2019)
CarPredictor: forecasting the number of free floating car sharing vehicles within restricted urban areas. In: IEEE INTERNATIONAL CONGRESS ON BIG DATA, Milan (IT), July 8-13, 2019, pp. 72-76. ISBN: 978-1-7281-2772-9
Contributo in Atti di Convegno (Proceeding)
Daraio, Elena; DI CORSO, Evelina; Cerquitelli, Tania; Chiusano, SILVIA ANNA (2018)
Characterizing Air-Quality Data Through Unsupervised Analytics Methods. In: New Trends in Databases and Information Systems, Budapest, Hungary, September, 2-5, 2018, pp. 205-217. ISBN: 978-3-030-00062-2
Contributo in Atti di Convegno (Proceeding)

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