Local PI of TInnGO - Transport Innovation Gender Observatory (https://www.tinngo.eu/) H2020 Project. TInnGO aims to create a framework and mechanisms for a sustainable game change in European transport through a transformative strategy of gender and diversity sensitive smart mobility. Leader of the TInnGO Italian Hub, which focuses on the specific activities related with the interest and use of shared modes, such as bike sharing, car sharing, carpooling etc. and with their potential in implementing a transport system that is gender neutral with regard to both usability and opportunities.Active work in SUITS - Supporting Urban Integrated Transport Systems: Transferable tools for authorities (H2020).Publications:Pirra, M.; Carboni, A.; Diana, M. (2020) Assessing Gender Gaps in Educational Provision, Research and Employment Opportunities in the Transport Sector at the European Level, Education Science, 10(5), 123, DOI: 10.3390/educsci10050123Pirra M., Diana M. (2019) Integrating mobility data sources to define and quantify a vehicle-level congestion indicator: an application for the city of Turin, European Transport Research Record, 11:41, DOI: 10.1186/s12544-019-0378-0Pirra M., Deflorio F., Carboni A. (2019) Monitoring urban accessibility for freight delivery services from vehicles traces and network modelling, Transportation Research Procedia, 41C, pp. 410-413, DOI: 10.1016/j.trpro.2019.09.067

SUITS - Supporting Urban Integrated Transport Systems: Transferable tools for authorities (H2020). The SUITS project shares best practice and develops a range of materials to enable, in particular, small and medium-sized cities to increase capacity to finance and implement sustainable transport measures or Sustainable Urban Mobility Plans (SUMPs) that support mobility transformation.Publications:Marco Diana, Miriam Pirra, Andree Woodcock, & Sofia Martins. (2018). Supporting Urban Integrated Transport Systems: Transferable Tools for Local Authorities (SUITS). Zenodo. http://doi.org/10.5281/zenodo.1441138 https://zenodo.org/record/1441138#.XAAAiOJReUk

Collaboration in the project “DEMONSTRATE: Modal diversion, co-modality and technology applications in passenger transport systems”. A mixed mobility and attitudinal survey is prepared and proposed in the Turin municipality. Results are analysed through models and statistical techniques to create a decision tool to maximise modal diversion and practically define the optimal co-modality.

Data analysis / Data science for Intelligent Transport Systems (ITS)Active work in the European project “METPEX - A measurement tool to determine the quality of the passengers experience” (http://www.metpex.eu/). A survey investigating transport service quality aspect is prepared and data are collected all across Europe. Data mining techniques are then applied to develop indicators revealing travellers’ perceptions of the transport service provided. Publications:Pirra M., Diana M. Classification of tours in the U.S. National Household Travel Survey through clustering techniques, Journal of Transportation Engineering, http://dx.doi.org/10.1061/(ASCE)TE.1943-5436.0000845Diana M., Pirra M. A comparative assessment of synthetic indices to measure multimodality behaviours, Transportmetrica A: Transport Science, in pressDiana M., Pirra M., Castro A., Duarte A., Brangeon V., Di Majo C., Herrero D., Hrin R., Woodcock A. (2016). Development of an integrated set of indicators to measure the quality of the whole traveller experience, in Proceedings of 6th Transport Research Arena, 18-21 April 2016, Warsaw, PolandSusilo Y.O., Woodcock A., Liotopoulos F., Duarte A., Osmond J., Abenoza R., Anghel L. E., Herrero D., Fornari F., Tolio V., O’Connelli E., Markucevičiūtė I., Kritharioti C., Pirra M., (2016). Deploying traditional and smartphone app survey methods in measuring door-to-door travel satisfaction in eight European cities, accepted for 14th World Conference on Transport Research, 10-15 July 2016, Shanghai, ChinaPirra M., Diana M., Castro A., Duarte A., Herrero D., Hrine R., Severini C., Tolio V. (2015). An in-depth assessment of the underlying dimensions of the perceived quality of transport services: the METPEX project, presented at Scientific Seminar SIDT 2015, Turin, Italy (http://porto.polito.it/2620148/)

Damage identification and diagnosis in mechanical components (aircraft bearings)Data analysis and data science for machanical component diagnosisActive work and collaboration with Avio industry in the Piemonte region project “Piattaforme per l’Aerospazio – Progetto GREAT 2020”. The main task is the identification and diagnosis of damages in mechanical components (bearings). The diagnostic ability is tested and verified through the acquisition of large amount of data on industrial gearboxes and laboratory test rig. Publications:Pirra M., Marchesiello S., Fasana A., Garibaldi L. (2012). External condition removal in bearing diagnostics through EMD and One-Class SVM. Proceedings of Vibrations Shocks and Noise Conference, 3-5 July 2012, Paris, France (http://porto.polito.it/2499546/)Pirra M., Fasana A., Garibaldi L., Marchesiello S. (2012). Damage identification and external effects removal for roller bearing diagnostics. Proceedings of First European Conference of the Prognostics and Health Management Society, 3-5 July 2012, Dresden, Germany (https://www.phmsociety.org/sites/phmsociety.org/files/phm_submission/2012/phmce_12_039.pdf)Pirra M., Gandino E., Torri A., Garibaldi L., Machorro-López J. M. (2011). PCA algorithm for detection, localisation and evolution of damages in gearbox bearings. JOURNAL OF PHYSICS. CONFERENCE SERIES, vol.305, 10 pagg. (http://iopscience.iop.org/article/10.1088/1742-6596/305/1/012019/meta;jsessionid=157DFE9F96D8992C6C4C804305B0FB86.c5.iopscience.cld.iop.org)Fasana A., Marchesiello S., Pirra M., Garibaldi L., Torri A. (2010). Spectral Kurtosis against SVM for best frequency selection in bearing diagnostics. MÉCANIQUE & INDUSTRIES, vol. 11; p. 489-494 (http://www.mechanics-industry.org/articles/meca/abs/2010/05/mi100023/mi100023.html)