Login

Publications

Title  
 
Journal Articles
De Santo, A., Moro, A., Kocher, B., & Holzer, A. (2022). Helping Each Other uit Online: Understanding User Engagement and Real Life Outcomes of the r/StopSmoking Digital Smoking Cessation Community. ACM Transactions on Social Computing, -, 1-29.
   
De Santo, A., Farah, J. C., Gillet, D., Lafuente Martinez, M., Bergram, K., Moro, A., Purohit, A. K., Felber, P., & Holzer, A. (2022). Promoting Computational Thinking Skills in Non-Computer-Science Students: Gamifying Computational Notebooks to Increase Student Engagement. IEEE TRANSACTIONS ON LEARNING TECHNOLOGIES, 15(3), 392-405.
   
Moro, A., & Holzer, A. (2020). A Framework to Predict Consumption Sustainability Levels of Individuals. Sustainability, Volume 12 (4)(Green Technology Innovation for Sustainability), 1-26.
   
Moro, A., & Garbinato, B. (2019). What Are You Willing to Sacrifice to Protect Your Privacy When Using a Location-Based Service?. Communications in Computer and Information Science (CCIS), 1061, 108-132.
   
Conference papers
De Santo, A., Moro, A., Kocher, B., & Holzer, A. (2021, 5 January). From Digital Community Engagement to Smoking Cessation: Insights from the Reddit r/StopSmoking Thread. Paper presented at 54th Hawaii International Conference on System Sciences (HICSS), Kauai, Hawaii, USA.
   
Farah, J. C., Moro, A., Bergram, K., Purohit, A. K., Gillet, D., & Holzer, A. (2020, 17 September). Bringing Computational Thinking to non-STEM Undergraduates through an Integrated Notebook Application. Paper presented at 15th European Conference on Technology Enhanced Learning.
   
Moro, A., & Holzer, A. (2019, 17 December). Supporting Green IS through a Framework Predicting Consumption Sustainability Levels of Individuals. Paper presented at International Conference of Information Systems (ICIS), Munich, Germany.
   
Moro, A., Kulkarni, V., Ghiringhelli, P. A., Chapuis, B., Huguenin, K., & Garbinato, B. (2019, 5 November). Breadcrumbs: A Rich Mobility Dataset with Point-of-Interest Annotations (short paper). Paper presented at 27th ACM International Conference on Advances in Geographic Information Systems (SIGSPATIAL), Chicago, IL, USA.
   
Kulkarni, V., Moro, A., Chapuis, B., & Garbinato, B. (2018, 1 August). Capstone: Mobility Modeling on Smartphones to Achieve Privacy by Design. Paper presented at International Conference On Trust, Security And Privacy In Computing And Communications (TrustCom), New York, USA.
   
Moro, A., & Garbinato, B. (2018, 16 March). ResPred: A privacy preserving location prediction system ensuring location-based service utility. Paper presented at International Conference on Geographical Information Systems Theory, Applications and Management (GISTAM), Madeira, Portugal.
   
Kulkarni, V., Moro, A., Chapuis, B., & Garbinato, B. (2017, 7 November). Extracting Hotspots without A-priori by Enabling Signal Processing over Geospatial Data. Paper presented at SIGSPATIAL International Conference on Advances in Geographic Information Systems (ACM SIGSPATIAL), Los Angeles, California, USA.
   
Moro, A., & Garbinato, B. (2017, 17 May). A Location Privacy Estimator based on Spatio-temporal Location Uncertainties. Paper presented at International Conference on NETworked sYStems (NETYS), Marrakech, Morocco.
   
Chapuis, B., Moro, A., Kulkarni, V., & Garbinato, B. (2016, 31 October). Capturing Complex Behaviour for Predicting Distant Future Trajectories. Paper presented at ACM SIGSPATIAL International Workshop on Mobile Geographic Information Systems (MobiGIS), San Francisco, California, USA.
   
Kulkarni, V., Moro, A., & Garbinato, B. (2016, 31 October). MobiDict – A Mobility Prediction System Leveraging Realtime Location Data Streams. Paper presented at SIGSPATIAL International Workshop on GeoStreaming (IWGS), San Francisco, California, USA.
   
Kulkarni, V., Moro, A., & Garbinato, B. (2016, 3 October). A mobility prediction system leveraging realtime location data streams: poster. Paper presented at Conference on Mobile Computing and Networking (MobiCom), New York City, New York.
   
Moro, A., & Garbinato, B. (2016, 5 September). A System-level Architecture for Fine-grained Privacy Control in Location-based Services. Paper presented at European Dependable Computing Conference (EDCC), Göteborg, Sweden.
   
Thesis
Moro, A. (2018). Perspectives on Location Privacy and Mobility Prediction when using Location-based Services. PhD thesis in Information Systems, University of Lausanne, Faculté des Hautes Etudes Commerciales (HEC), Lausanne.
   
Working papers
Moro, A., Garbinato, B., & Chavez-Demoulin, V. (2018). Discovering demographic data of users from the evolution of their spatio-temporal entropy (preprint arXiv). Unpublished Research work. University of Lausanne.
   
 
Page 1 of 1
*Bibliographic citation format : APA5