Alessandro Montanari is a Research Scientist in the Pervasive Systems Research team of APSS Lab. Alessandro holds a PhD in Computer Science at the University of Cambridge and a MSc cum laude in Computer Engineering from the University of Bologna. Prior to starting his PhD, Alessandro completed his Master Thesis at the ABB Corporate Research Center working on wireless sensor networks. Later he interned at Nokia Bell Labs focusing on privacy issues in the context of the Internet of Things and at ARM where he built IoT applications to showcase the potential of ARM’s technology. Before joining Bell Labs he worked as Research Assistant at the University of Cambridge on optimising drone surveying flight paths using on-board context sensing and computation.


PhD in Computer Science, University of Cambridge, UK, 2018.

MEng Computer Engineering (Laurea Magistrale), University of Bologna, Italy, 2013.

BEng Computer Engineering (Laurea Triennale), University of Bologna, Italy, 2010.

Selected articles and publications

  • Alessandro Montanari, Mohammed Alloulah, and Fahim Kawsar. Degradable inference for energy autonomous vision applications. Adjunct Proceedings of the 2019 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2019 ACM International Symposium on Wearable Computers (ACM Ubicomp 2019). London, UK, 2019.

    Chulhong Min, Alessandro Montanari, Akhil Mathur, Fahim Kawsar, A Closer Look at Quality-Aware Runtime Assessment of Sensing Models in Multi-Device Environments. In Proc. of the 17th ACM Conference on Embedded Networked Sensor Systems (ACM SenSys 2019), New York, USA, Nov. 10-13, 2019.

    Mattia Antonini, Tran Huy Vu, Chulhong Min, Alessandro Montanari, Akhil Mathur, Fahim Kawsar, Resource Characterisation of Personal-Scale Sensing Models on Edge Accelerators, In Proc. ACM Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things (AIChallengeIoT 2019) in conjunction with ACM SenSys 2019, New York, USA, November 2019.

    Andrea Ferlini, Alessandro Montanari, Cecilia Mascolo, Robert Harle. Head Motion Tracking Through in-Ear Wearables. In 1st ACM International Workshop on Earable Computing (colocated with ACM Ubicomp 2019). London, Uk. September 2019.

    Seungchul Lee, Chulhong Min, Alessandro Montanari, Akhil Mathur, Youngjae Chang, Junehwa Song, Fahim Kawsar, Automatic Smile and Frown Recognition with Kinetic Earables. In Proc. 10th Augmented Human International Conference (AH 2019), Reims Champagne-Ardenne, France, March 2019.

    Fahim Kawsar, Chulhong Min, Akhil Mathur, Alessandro Montanari. Earables for Personal-Scale Behavior Analytics. IEEE Pervasive Computing, vol. 17, no. 03, pp. 83-89, Jul., 2018.

    Alessandro Montanari, Fredrika Kringberg, Alice Valentini, Cecilia Mascolo, Amanda Prorok. Surveying areas in developing regions through context aware drone mobility. Proceedings of the 4th ACM Workshop on Micro Aerial Vehicle Networks, Systems, and Applications (colocated with ACM MobiSys 2018). 2018.

    Alessandro Montanari, Zhao Tian, Elena Francu, Benjamin Lucas, Brian Jones, Xia Zhou, Cecilia Mascolo. Measuring Interaction Proxemics with Wearable Light Tags. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT). Presented at Ubicomp 2018. Singapore. October 2018.

    Alessandro Montanari, Cecilia Mascolo, Kerstin Sailer, Sarfraz Nawaz. Detecting Emerging Activity-Based Working Traits through Wearable Technology. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies (IMWUT). Presented at Ubicomp 2017. Maui, Hawaii, USA. September 2017. 

    Alessandro Montanari, Sarfraz Nawaz, Cecilia Mascolo and Kerstin Sailer. A Study of Bluetooth Low Energy Performance for Human Proximity Detection in the Workplace. Proceedings of the IEEE International Conference on Pervasive Computing and Communications, March 2017, Hawaii, USA. [Best Paper Nominee] 

    Alessandro Montanari, Afra Mashhadi, Akhil Mathur, and Fahim Kawsar. Understanding the Privacy Design Space for Personal Connected Objects. Proceedings of the 30th British Human Computer Interaction Conference (British HCI 2016), July 2016, Bournemouth, UK. 


  1. Alessandro Montanari, Afra Mashhadi, Aidan Boran, Fahim Kawsar. Privacy-Aware Personal Data Store (US Patent 20,160,044,039), Published 11/02/2016.