- PhD Candidate
PhD Candidate in the Department of Computer Science and Technology, at the University of Cambridge.
My current research is focused on developing reliable, standardised and secure smart environments and lies at the intersection of Internet-of-Things (IoT) systems, Artificial Intelligence (AI), Cyber Security and Network Architectures in general. Over the recent years I have collaborated on the following projects:
- Innovate UK funded Centre for Digital Built Britain (CDBB) (West Cambridge) and Adaptive City Platform: development of Digital Twin Model for two departmental buildings, deployment of LoRaWAN network across West Cambridge site (~185 sensors), development of complex event recognition and real-time data processing platforms;
- EPSRC DADA: exploration of smart home security threats, infrastructure development for machine learning and traffic filtering techniques towards improving smarthome security; deployment of a crowdsourcing platform for secure and anonymised user traces collection for ML model trainng;
- EPSRC Databox: libraries/API development for system components of privacy-aware infrastructure for managing personal user application data;
- SmartCity: Data negotiability in multi-mode communication networks (subawarded by Human Data Interaction: Legibility, Agency, Negotiability, funded by EPSRC Network Plus): exploring MUD standard for improving IoT accountability and trust as well as ML IoT models' security.
Research
IoT interoperability, AI for IoT Security and Privacy, Smart environments, Wireless networks, Network Architectures
Teaching
Supervising "Computer Networking" in Lent (Spring) term for Part 1B students
Publications
1. CDBB West Cambridge Digital Twin: Lessons Learned
J. Brazauskas, M. Danish, V. Safronov, R. Verma, R. Mortier, I. Lewis
arXiv (2022)
2. Real-Time Data Visualisation on the Adaptive City Platform
J. Brazauskas, R. Verma, V. Safronov, M. Danish, I. Lewis, R. Mortier
Proceedings of the 8th ACM International Conference on Systems for Energy-Efficient Built Environments (BuildSys 2021)
3. Do we want the New Old Internet? Towards Seamless and Protocol-Independent IoT Application Interoperability
V. Safronov, J. Brazauskas, M. Danish, R. Verma, I. Lewis, R. Mortier
Proceedings of the 20th ACM Workshop on Hot Topics in Networks (HotNets 2021)
4. RACER: Real-Time Automated Complex Event Recognition in Smart Environments
R. Verma, J. Brazauskas, V. Safronov, M. Danish, I. Lewis, R. Mortier
Proceedings of the 29th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL 2021)
5. Revisiting IoT Device Identification
R. Kolcun, D. A. Popescu, V. Safronov, P. Yadav, A. M. Mandalari, R. Mortier, H. Haddadi
Proceedings of the 5th Network Traffic Measurement and Analysis Conference (TMA 2021)
6. SenseRT: A Streaming Architecture for Smart Building Sensors
R. Verma, J. Brazauskas, V. Safronov, M. Danish, J. Merino, X. Xie, I. Lewis, R. Mortier
arXiv (2021)
7. Data Management for Building Information Modelling in a Real-Time Adaptive City Platform
J. Brazauskas, R. Verma, V. Safronov, M. Danish, J. Merino, X. Xie, I. Lewis, R. Mortier
arXiv (2021)
8. The Case for Retraining of ML Models for IoT Device Identification at the Edge
R. Kolcun, D. A. Popescu, V. Safronov, P. Yadav, A. M. Mandalari, Y. Xie, R. Mortier, H. Haddadi
arXiv(2020)
9. CoLearn: enabling federated learning in MUD-compliant IoT edge networks
A. Feraudo, P. Yadav, V. Safronov, D.A. Popescu, R. Mortier, S. Wang, P. Bellavista, J. Crowcroft
Proceedings of the Third ACM International Workshop on Edge Systems, Analytics and Networking (EdgeSys 2020)
10. Enforcing accountability in Smart built-in IoT environment using MUD
P. Yadav, V. Safronov, R. Mortier
Proceedings of the 6th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation (BuildSys 2019)
11. "Sensing" the IoT network: Ethical capture of domestic IoT network traffic: poster abstract
D.A Popescu, V. Safronov, P. Yadav, R. Kolcun, A.M. Mandalari, H. Haddadi, D. McAuley, R. Mortier
Proceedings of the 17th Conference on Embedded Networked Sensor Systems (SenSys 2019)
12. Cut-through network switches: architecture, design and implementation
N. Zilberman, L.Dudziak, M. Jadczak, T. M. Parks, A. Rietmann, V. Safronov and D. Zuo.
University of Cambridge, Computer Laboratory (2018)
