skip to content

Department of Computer Science and Technology

  • Senior Research Associate

Research

His research focuses encompasses the wide are of the Internet of Things. This includes small embedded systems with low-powered wireless radio ensembled in Wireless Sensor Networks as well as home IoT devices including smart speakers, smart TVs, or doorbells. The focus of his research is the identification of these IoT devices using modern machine learning and artificial intelligence techniques such as random forests, Bayesian networks, or neural networks. Roman is also interested in the area of users' privacy preservation in the context of IoT. Finally, his research is also oriented on the area of security and protection of IoT devices deployed in our homes.

Currently, he participates in two research projects:

Elements publications

Conference proceedings

2019

  • Popescu, DA., Safronov, V., Yadav, P., Kolcun, R., Mandalari, A-M., Haddadi, H., McAuley, D. and Mortier, R., 2019. "Sensing" the IoT network: Ethical capture of domestic IoT network traffic Proceedings of the 17th Conference on Embedded Networked Sensor Systems - SenSys '19,
    Doi: 10.1145/3356250.3361953
  • Popescu, DA., Safronov, V., Yadav, P., Kolcun, R., Mandalari, AM., Haddadi, H., McAuley, D. and Mortier, R., 2019. "Sensing" the IoT network: Ethical capture of domestic IoT network traffic: poster abstract. SenSys '19,
    Doi: 10.1145/3356250.3361953
  • Journal articles
  • Kolcun, R., Popescu, DA., Safronov, V., Yadav, P., Mandalari, AM., Xie, Y., Mortier, R. and Haddadi, H., The Case for Retraining of ML Models for IoT Device Identification at the Edge
  • Contact Details

    Room: 
    GC03
    Email: 

    roman.kolcun@cl.cam.ac.uk