![Associate Professor Marius Portmann](/sites/default/files/profiles/1381.jpeg)
Overview
Background
Dr Portmann's research interests are in the area of Computer Networks and Information Security.
Dr Portmann received his PhD in Electrical Engineering from the Swiss Federal Institute of Technology (ETH) in Zurich in 2003. His research interests are in overlay and Peer-to-peer networks and network security.
Employment History:
2013 - present Associate Professor ITEE/UQ
2009 – 2013 Senior Lecturer ITEE/UQ
2004 – 2008 Lecturer ITEE/UQ
2003 – 2004 Research Manager, School of Electrical Engineering and Telecommunications, UNSW
2002 – 2003 Senior Research Officer, School of Electrical Engineering and Telecommunications, UNSW
Availability
- Associate Professor Marius Portmann is:
- Available for supervision
Fields of research
Qualifications
- Masters (Coursework) of Science, Swiss Federal Institute of Technology ETH Zürich
- Doctor of Philosophy, Swiss Federal Institute of Technology ETH Zürich
Research interests
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Cyber Security
Machine Learning based Intrusion Detection
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Computer Networks
IoT Networks, Software Defined Networking (SDN)
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Blockchain Technology
Works
Search Professor Marius Portmann’s works on UQ eSpace
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
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.
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
2019
Conference Publication
Experimental evaluation of LoRaWAN in NS-3
Khan, Furqan Hameed and Portmann, Marius (2019). Experimental evaluation of LoRaWAN in NS-3. 28th International Telecommunication Networks and Applications Conference, ITNAC 2018, Sydney, NSW, 21-23 November 2018. New York, NY USA: Institute of Electrical and Electronics Engineers. doi: 10.1109/ATNAC.2018.8615313
2019
Journal Article
The (In)Security of Virtualization in Software Defined Networks
Alharbi, Talal and Portmann, Marius (2019). The (In)Security of Virtualization in Software Defined Networks. IEEE Access, 7 8718586, 66584-66594. doi: 10.1109/ACCESS.2019.2918101
Funding
Current funding
Past funding
Supervision
Availability
- Associate Professor Marius Portmann is:
- Available for supervision
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Supervision history
Current supervision
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Doctor Philosophy
Learning-based optimisation strategies for sustainable IoT communications
Principal Advisor
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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
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Doctor Philosophy
Towards Autonomous Network Security
Principal Advisor
Other advisors: Associate Professor Marcus Gallagher, Dr Siamak Layeghy
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Doctor Philosophy
Low-energy LoRaWAN-based automatic and continuous measurement of organisational environmental performance.
Principal Advisor
Other advisors: Dr Siamak Layeghy, Professor Sara Dolnicar
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Doctor Philosophy
Enhancing the Privacy-Preserving ML techniques with Functional Encryption approach
Associate Advisor
Other advisors: Dr Siamak Layeghy
Completed supervision
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2023
Doctor Philosophy
Deep Learning at the Edge: Exploring in-situ Classification in IoT
Principal Advisor
Other advisors: Dr Siamak Layeghy
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2023
Doctor Philosophy
The Detection of Network Cyber Attacks Using Machine Learning
Principal Advisor
Other advisors: Associate Professor Marcus Gallagher, Dr Siamak Layeghy
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2023
Master Philosophy
Graph Representation Learning for Cyberattack Detection and Forensics
Principal Advisor
Other advisors: Associate Professor Marcus Gallagher, Dr Siamak Layeghy
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2022
Doctor Philosophy
Energy-Positive Activity Recognition towards Batteryless IoT
Principal Advisor
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2022
Doctor Philosophy
Crosschain Communications: Blockchain Discovery, Atomic Crosschain Function Calls, and Blockchain State Pinning
Principal Advisor
Other advisors: Dr David Hyland-Wood
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2020
Doctor Philosophy
Performance Enhancement of Software Defined Cellular LTE and Internet-of-Things Networks
Principal Advisor
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2020
Doctor Philosophy
Multi-Radio Data Fusion for Indoor localization using WiFi and Bluetooth
Principal Advisor
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2019
Doctor Philosophy
Traffic Control for Multi-homed End-hosts via Software Defined Networking
Principal Advisor
Other advisors: Emeritus Professor Jadwiga Indulska
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2018
Doctor Philosophy
SCOR: Software-defined Constrained Optimal Routing Platform for SDN
Principal Advisor
Other advisors: Emeritus Professor Jadwiga Indulska
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2018
Doctor Philosophy
Security in Software Defined Networks
Principal Advisor
Other advisors: Emeritus Professor Jadwiga Indulska
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2017
Doctor Philosophy
Towards Software Defined Wireless Mesh Networks
Principal Advisor
Other advisors: Emeritus Professor Jadwiga Indulska
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2014
Doctor Philosophy
TOWARDS TAILORED AND ADAPTIVE WIRELESS MULTI-HOP ROUTING PROTOCOLS
Principal Advisor
Other advisors: Emeritus Professor Jadwiga Indulska
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2013
Doctor Philosophy
Accurate and Low-Cost Link Capacity Estimation in IEEE 802.11-based Wireless Mesh Networks
Principal Advisor
Other advisors: Emeritus Professor Jadwiga Indulska
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2012
Doctor Philosophy
Random-access MIMO in Single Hop and Wireless Mesh Network Settings
Principal Advisor
Other advisors: Professor Aleksandar Rakic
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2023
Doctor Philosophy
Towards Efficient Graph Neural Networks for Optimizing Illicit Dark Web Interventions
Associate Advisor
Other advisors: Dr Shakes Chandra
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2016
Doctor Philosophy
Collaborative Streaming of On Demand Videos for Mobile Devices
Associate Advisor
Other advisors: Emeritus Professor Jadwiga Indulska
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2015
Doctor Philosophy
Context awareness in opportunistic computing
Associate Advisor
Other advisors: Emeritus Professor Jadwiga Indulska
-
2014
Doctor Philosophy
A Context Management System for Wireless Mesh Networks
Associate Advisor
Other advisors: Emeritus Professor Jadwiga Indulska
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2012
Doctor Philosophy
MAC Rate Control Mechanisms in 802.11 Networks
Associate Advisor
Other advisors: Emeritus Professor Jadwiga Indulska
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2009
Doctor Philosophy
An Autonomic Context Management System for Pervasive Computing
Associate Advisor
Other advisors: Emeritus Professor Jadwiga Indulska
Media
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