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Read more at: KEHAI

KEHAI

Read more at: Pierre Thodoroff

Pierre Thodoroff

Read more at: Abhirup Ghosh

Abhirup Ghosh

Read more at: Dr Sarah Morgan

Dr Sarah Morgan

Read more at: Steven Morad

Steven Morad

Theses / dissertations

  • Morad, S., 2024 (No publication date). Deep Memory Models and Efficient Reinforcement Learning under Partial Observability
    Doi: http://doi.org/10.17863/CAM.114346
    •
    Theses / dissertations

    2024 (No publication date)

  • Morad, S., 2024 (No publication date). Deep Memory Models and Efficient Reinforcement Learning under Partial Observability
    Doi: http://doi.org/10.17863/CAM.114346
    •
    Read more at: Dr Roman Kolcun

    Dr Roman Kolcun

    Project Suggestions:

    I am happy to supervise Part II, Part II, or MPhil ACS projects in my research area, which includes Internet of Things (IoT), privacy preservation, edge computing, or Wireless Sensor Networks. Possible projects might align with, but are not limited with the following topics:

    IoT Device Identification

    Conference proceedings

  • Pan, W., Kolcun, R. and Mortier, R., 2023 (Accepted for publication). Anonymising Video Data Collection at the Edge Using DeepDish 2023 IEEE 24th International Conference on High Performance Switching and Routing (HPSR),
    Doi: 10.1109/HPSR57248.2023.10147953
    •
  • Kolcun, R., Popescu, DA., Safronov, V., Yadav, P., Mandalari, AM., Mortier, R. and Haddadi, H., 2021. Revisiting IoT Device Identification
  • 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 2019 - Proceedings of the 17th Conference on Embedded Networked Sensor Systems,
    Doi: 10.1145/3356250.3361953
    •

    Reports

  • Kolcun, R. and Mortier, R., 2023. Scalable Device Identification for IoT Networks using Binary Classification Models at the Edge
    Doi: 10.17863/CAM.96671
    •

    Software

  • Kolcun, R., 2023. IoT Device Identification at the Edge
    Doi: 10.17863/CAM.96672
    •
    Conference proceedings

    2023 (Accepted for publication)

  • Pan, W., Kolcun, R. and Mortier, R., 2023 (Accepted for publication). Anonymising Video Data Collection at the Edge Using DeepDish 2023 IEEE 24th International Conference on High Performance Switching and Routing (HPSR),
    Doi: 10.1109/HPSR57248.2023.10147953
    •

    2021

  • Kolcun, R., Popescu, DA., Safronov, V., Yadav, P., Mandalari, AM., Mortier, R. and Haddadi, H., 2021. Revisiting IoT Device Identification

    • 2019

  • 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 2019 - Proceedings of the 17th Conference on Embedded Networked Sensor Systems,
    Doi: 10.1145/3356250.3361953
    •
    Reports

    2023

  • Kolcun, R. and Mortier, R., 2023. Scalable Device Identification for IoT Networks using Binary Classification Models at the Edge
    Doi: 10.17863/CAM.96671
    •
    Software

    2023

  • Kolcun, R., 2023. IoT Device Identification at the Edge
    Doi: 10.17863/CAM.96672
    •
    Read more at: Dr Carl Henrik Ek

    Dr Carl Henrik Ek

    You can find my personal home page here.

    Read more at: Tong Xia

    Tong Xia

    I am a PhD student at the Department of Computer Science and Technology, at the University of Cambridge, Cambridge, UK, supervised by 

    Read more at: Jing Han

    Jing Han

    I am a postdoctoral researcher at the Department of Computer Science and Technology at the University of Cambridge, UK, advised by Prof. Cecilia Mascolo. I received my doctoral degree from the Chair of Embedded Intelligence for Health Care and Wellbeing, University of Augsburg, Germany, in 2020, supervised by Prof. Björn W. Schuller. Prior to that, I received my master degree from Nanyang Technological University, Singapore, in 2014, and my bachelor degree in electronic and information engineering from Harbin Engineering University, China, in 2011.

    Read more at: Nic Lane

    Nic Lane

    Please visit my personal website (http://niclane.org) or my lab website (http://mlsys.cst.cam.ac.uk/) for the most up-to-date and complete information (including papers).

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