Professor Marius Portmann
Professor

Marius Portmann

Email: 
Phone: 
+61 7 336 51636

Background

Prof Portmann is the UQ-Cisco Chair of Network Security at the School of Electrical Engineering and Computer Science (EECS) at The University of Queensland (UQ).

He received his PhD in Electrical Engineering from the Swiss Federal Institute of Technology (ETH) in Zürich in 2003. His research interests include Computer Networks, Cybersecurity, IoT (Internet of Things) and applied AI.

Availability

Professor Marius Portmann is:
Available for supervision

Fields of research

Communications engineering Distributed computing and systems software Engineering

Qualifications

  • Masters (Coursework) of Science, Swiss Federal Institute of Technology ETH Zürich
  • Doctor of Philosophy, Swiss Federal Institute of Technology ETH Zürich

Research interests

  • Cyber Security

    Machine Learning based Intrusion Detection

  • Computer Networks

    IoT Networks, Software Defined Networking (SDN)

  • Blockchain Technology

Search Professor Marius Portmann’s works on UQ eSpace

191 works between 2002 and 2026
All (191) Book (1) Journal Article (63) Other Outputs (17) Conference Publication (103) Book Chapter (7)

61 - 80 of 191 works

2022

Conference Publication

FDGATII: Fast Dynamic Graph Attention with Initial Residual and Identity

Kulatilleke, Gayan K., Portmann, Marius, Ko, Ryan and Chandra, Shekhar S. (2022). FDGATII: Fast Dynamic Graph Attention with Initial Residual and Identity. 35th Australasian Joint Conference on Artificial Intelligence: AI 2022, Perth, WA Australia, 5–8 December 2022. Cham, Switzerland: Springer. doi: 10.1007/978-3-031-22695-3_6

FDGATII: Fast Dynamic Graph Attention with Initial Residual and Identity

2022

Book Chapter

SCOR: a constraint programming approach to software defined networking

Layeghy, Siamak and Portmann, Marius (2022). SCOR: a constraint programming approach to software defined networking. Horizons in computer science research. Volume 22. (pp. 141-191) edited by Thomas S. Clary. New York, NY United States: Nova Science Publishers.

SCOR: a constraint programming approach to software defined networking

2021

Journal Article

Edge intelligence framework for data-driven dynamic priority sensing and transmission

Ghosh, Sushmita, De, Swades, Chatterjee, Shouri and Portmann, Marius (2021). Edge intelligence framework for data-driven dynamic priority sensing and transmission. IEEE Transactions on Green Communications and Networking, 6 (1), 376-390. doi: 10.1109/TGCN.2021.3136139

Edge intelligence framework for data-driven dynamic priority sensing and transmission

2021

Journal Article

Towards a standard feature set for network intrusion detection system datasets

Sarhan, Mohanad, Layeghy, Siamak and Portmann, Marius (2021). Towards a standard feature set for network intrusion detection system datasets. Mobile Networks and Applications, 27 (1), 357-370. doi: 10.1007/s11036-021-01843-0

Towards a standard feature set for network intrusion detection system datasets

2021

Conference Publication

FlowGAN - Synthetic Network Flow Generation using Generative Adversarial Networks

Manocchio, Liam Daly, Layeghy, Siamak and Portmann, Marius (2021). FlowGAN - Synthetic Network Flow Generation using Generative Adversarial Networks. International Conference on Computational Science and Engineering (CSE), Shenyang, China, 20-22 October 2021. Piscataway, NJ, United States: IEEE. doi: 10.1109/cse53436.2021.00033

FlowGAN - Synthetic Network Flow Generation using Generative Adversarial Networks

2021

Journal Article

Task scheduling for energy harvesting-based IoT: a survey and critical analysis

Sandhu, Muhammad Moid, Khalifa, Sara, Jurdak, Raja and Portmann, Marius (2021). Task scheduling for energy harvesting-based IoT: a survey and critical analysis. IEEE Internet of Things Journal, 8 (18) 9446528, 13825-13848. doi: 10.1109/JIOT.2021.3086186

Task scheduling for energy harvesting-based IoT: a survey and critical analysis

2021

Journal Article

Deep learning-based cattle behaviour classification using joint time-frequency data representation

Hosseininoorbin, Seyedehfaezeh, Layeghy, Siamak, Kusy, Brano, Jurdak, Raja, Bishop-Hurley, Greg J., Greenwood, Paul L and Portmann, Marius (2021). Deep learning-based cattle behaviour classification using joint time-frequency data representation. Computers and Electronics in Agriculture, 187 106241, 106241. doi: 10.1016/j.compag.2021.106241

Deep learning-based cattle behaviour classification using joint time-frequency data representation

2021

Journal Article

Learning-based adaptive sensor selection framework for multi-sensing WSN

Ghosh, Sushmita, De, Swades, Chatterjee, Shouri and Portmann, Marius (2021). Learning-based adaptive sensor selection framework for multi-sensing WSN. IEEE Sensors Journal, 21 (12) 9388700, 13551-13563. doi: 10.1109/jsen.2021.3069264

Learning-based adaptive sensor selection framework for multi-sensing WSN

2021

Conference Publication

SolAR: energy positive human activity recognition using solar cells

Sandhu, Muhammad Moid, Khalifa, Sara, Geissdoerfer, Kai, Jurdak, Raja and Portmann, Marius (2021). SolAR: energy positive human activity recognition using solar cells. 2021 IEEE International Conference on Pervasive Computing and Communications (PerCom), Kassel, Germany, 22-26 March 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers . doi: 10.1109/PERCOM50583.2021.9439128

SolAR: energy positive human activity recognition using solar cells

2021

Conference Publication

Scaling Spectrogram Data Representation for Deep Learning on Edge TPU

Hosseininoorbin, Seyedehfaezeh, Layeghy, Siamak, Kusy, Brano, Jurdak, Raja and Portmann, Marius (2021). Scaling Spectrogram Data Representation for Deep Learning on Edge TPU. 2021 IEEE International Conference on Pervasive Computing and Communications Workshops and other Affiliated Events (PerCom Workshops), Kassel, Germany, 22-26 March 2021. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers Inc.. doi: 10.1109/PerComWorkshops51409.2021.9431041

Scaling Spectrogram Data Representation for Deep Learning on Edge TPU

2021

Conference Publication

NetFlow datasets for machine learning-based network intrusion detection systems

Sarhan, Mohanad, Layeghy, Siamak, Moustafa, Nour and Portmann, Marius (2021). NetFlow datasets for machine learning-based network intrusion detection systems. 10th EAI International Conference, BDTA 2020 and 13th EAI International Conference on Wireless Internet, WiCON 2020, Virtual Event, 11 December 2020. Cham, Switzerland: Springer Science and Business Media Deutschland GmbH. doi: 10.1007/978-3-030-72802-1_9

NetFlow datasets for machine learning-based network intrusion detection systems

2020

Journal Article

P-SCOR: integration of constraint programming orchestration and programmable data plane

Melis, Andrea, Layeghy, Siamak, Berardi, Davide, Portmann, Marius, Prandini, Marco and Callegati, Franco (2020). P-SCOR: integration of constraint programming orchestration and programmable data plane. IEEE Transactions on Network and Service Management, 18 (1) 9311177, 1-1. doi: 10.1109/tnsm.2020.3048277

P-SCOR: integration of constraint programming orchestration and programmable data plane

2020

Journal Article

Network traffic control for multi-homed end-hosts via SDN

Al-Najjar, Anees, Khan, Furqan Hameed and Portmann, Marius (2020). Network traffic control for multi-homed end-hosts via SDN. IET Communications, 14 (19), 3312-3323. doi: 10.1049/iet-com.2020.0335

Network traffic control for multi-homed end-hosts via SDN

2020

Conference Publication

Towards optimal kinetic energy harvesting for the batteryless IoT

Sandhu, Muhammad Moid, Geissdoerfer, Kai, Khalifa, Sara, Jurdak, Raja, Portmann, Marius and Kusy, Brano (2020). Towards optimal kinetic energy harvesting for the batteryless IoT. 2020 IEEE International Conference on Pervasive Computing and Communications Workshops, Austin, TX, United States, 23-27 March 2020. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/PerComWorkshops48775.2020.9156195

Towards optimal kinetic energy harvesting for the batteryless IoT

2020

Conference Publication

Towards energy positive sensing using kinetic energy harvesters

Sandhu, Muhammad Moid, Geissdoerfer, Kai, Khalifa, Sara, Jurdak, Raja, Portmann, Marius and Kusy, Brano (2020). Towards energy positive sensing using kinetic energy harvesters. 2020 IEEE International Conference on Pervasive Computing and Communications, Austin, TX, United States, 23 - 27 March 2020. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/PerCom45495.2020.9127356

Towards energy positive sensing using kinetic energy harvesters

2020

Journal Article

Joint QoS-control and handover optimization in backhaul aware SDN-based LTE networks

Khan, Furqan Hameed and Portmann, Marius (2020). Joint QoS-control and handover optimization in backhaul aware SDN-based LTE networks. Wireless Networks, 26 (4), 2707-2729. doi: 10.1007/s11276-019-02021-7

Joint QoS-control and handover optimization in backhaul aware SDN-based LTE networks

2020

Journal Article

MAC-layer rate control for 802.11 networks: a survey

Yin, Wei, Hu, Peizhao, Indulska, Jadwiga, Portmann, Marius and Mao, Ying (2020). MAC-layer rate control for 802.11 networks: a survey. Wireless Networks, 26 (5), 3793-3830. doi: 10.1007/s11276-020-02295-2

MAC-layer rate control for 802.11 networks: a survey

2019

Conference Publication

R2Lab testbed evaluation for wireless mesh network experiments

Pakzad, Farzaneh, Portmann, Marius, Turletti, Thierry, Parmentelat, Thierry, Mahfoudi, Mohamed Naoufal and Dabbous, Walid (2019). R2Lab testbed evaluation for wireless mesh network experiments. 28th International Telecommunication Networks and Applications Conference, ITNAC 2018, Sydney, NSW Australia, 21-23 November 2018. New York, NY USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/ATNAC.2018.8615202

R2Lab testbed evaluation for wireless mesh network experiments

2019

Conference Publication

Enhancing quality of experience of VoIP traffic in SDN based end-hosts

Al-Najjar, Anees, Layeghy, Siamak, Portmann, Marius and Indulska, Jadwiga (2019). Enhancing quality of experience of VoIP traffic in SDN based end-hosts. 28th International Telecommunication Networks and Applications Conference, ITNAC 2018, Sydney, NSW Australia, 21-23 November 2018. New York, NY USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/ATNAC.2018.8615286

Enhancing quality of experience of VoIP traffic in SDN based end-hosts

2019

Conference Publication

A model for reliable uplink transmissions in LoRaWAN

Khan, Furqan Hameed, Jurdak, Raja and Portmann, Marius (2019). A model for reliable uplink transmissions in LoRaWAN. 15th Annual International Conference on Distributed Computing in Sensor Systems (DCOSS 2019), Santorini Island, Greece, 29-31 May 2019. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers (IEEE). doi: 10.1109/DCOSS.2019.00042

A model for reliable uplink transmissions in LoRaWAN

Current funding

  • 2025 - 2027
    A powerful new database to inform consumer advocacy and test the effect of market interventions
    Energy Consumers Australia Influence Grants
    Open grant
  • 2025 - 2028
    Mechanisms of Behaviour Change Theory
    ARC Discovery Projects
    Open grant
  • 2024 - 2025
    Customer electricity usage segmentation based on smart meter data
    Energy Queensland Limited
    Open grant

Past funding

  • 2022 - 2023
    Blockchain-based Event Ticketing System
    Innovation Connections
    Open grant
  • 2021 - 2025
    Reducing plate waste in hotels - which interventions are most effective?
    ARC Linkage Projects
    Open grant
  • 2019
    Machine Learning for Automated Network Anomaly Detection, Cyber Security and Analysis - Phase II
    Innovation Connections
    Open grant
  • 2018 - 2019
    Machine Learning for Automated Network Anomaly detection and Analysis
    Innovation Connections
    Open grant
  • 2018
    Smart Lending
    Commonwealth Bank of Australia
    Open grant
  • 2017 - 2020
    Software Defined Networking for the Internet of Things
    Data 61 - University Collaboration Agreement (DUCA)
    Open grant
  • 2015 - 2016
    Test bed for wide-area software defined networking research (ARC LIEF project administered by The University of New South Wales)
    University of New South Wales
    Open grant
  • 2006 - 2008
    Generic Platform for Peer-to-peer Networks and Applications
    UQ New Staff Research Start-Up Fund
    Open grant

Availability

Professor Marius Portmann is:
Available for supervision

Looking for a supervisor? Read our advice on how to choose a supervisor.

Available projects

  • Machine Learning for Computer Networking

    Harness Machine Learning and AI techniques, with a focus on Large Language Models, for the configuration and management of Computer Networks.

Supervision history

Current supervision

  • Doctor Philosophy

    eXtended Management Network System (xNMS)

    Principal Advisor

    Other advisors: Dr Siamak Layeghy

  • Doctor Philosophy

    Towards Practical Machine Learning Based Network Intrusion Detection

    Principal Advisor

    Other advisors: Associate Professor Marcus Gallagher, Dr Siamak Layeghy

  • Doctor Philosophy

    Exploring the Capabilities of LoRaWAN IoT Technology for Multisensor Data Collection and Analysis

    Principal Advisor

    Other advisors: Dr Siamak Layeghy, Professor Sara Dolnicar

  • Doctor Philosophy

    Low-energy LoRaWAN-based automatic and continuous measurement of organisational environmental performance.

    Principal Advisor

    Other advisors: Dr Siamak Layeghy, Professor Sara Dolnicar

  • Doctor Philosophy

    Multi-Receiver Passive Radar using WirelessLAN for Indoor Localisation

    Associate Advisor

    Other advisors: Associate Professor Konstanty Bialkowski

  • Doctor Philosophy

    Machine Learning for Improving Services and Management of Software Defined Networks

    Associate Advisor

    Other advisors: Dr Siamak Layeghy

  • Doctor Philosophy

    Enhancing the Privacy-Preserving ML techniques with Functional Encryption approach

    Associate Advisor

    Other advisors: Dr Siamak Layeghy

  • Doctor Philosophy

    Enhancing Cyberbullying Detection in Arabic Social Media through Explainable AI and Natural Language Processing: A Human-Centric Approach

    Associate Advisor

    Other advisors: Dr Siamak Layeghy

Completed supervision

Enquiries

For media enquiries about Professor Marius Portmann's areas of expertise, story ideas and help finding experts, contact our Media team:

communications@uq.edu.au