Marius Portmann

Associate Professor

University of Queensland

Australia

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Marius Portmann is an Associate Professor at the University of Queensland, Australia. His research areas include sustainable technology in the hospitality sector, machine learning applications for network security, and innovative sensor data utilization for environmental monitoring. Recent publications include studies on humor and compassion's impact on sustainable behaviors, as well as advanced methodologies for network intrusion detection and energy consumption in hotel settings.

Articles (16)

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2025

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2024

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2023

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2022

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2022

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2021

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2021

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2021

Collaborators (6)

Marcus Gallagher

University of Queensland

AUSTRALIA

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Franco Callegati

University of Bologna

ITALY

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Lukas Sablica

WU Vienna University of Economics and Business

AUSTRIA

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MARCO PRANDINI

Associate Professor

University of Bologna

ITALY

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Raja Jurdak

Professor at Queensland University of Technology

Queensland University of Technology

AUSTRALIA

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Sara Dolnicar

Professor

University of Queensland

AUSTRALIA

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Marius Portmann

Research Interests

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Articles (16)

EcoShower: Estimating shower duration using non-intrusive multi-modal sensor data via LSTM and Gated Transformer models

An empirical evaluation of preprocessing methods for machine learning based network intrusion detection systems

Crikey! Let’s keep it cozy like a joey in a pouch” Can humour or compassion encourage sustainable heater use at hotels?

If you can’t measure it, you can’t improve it a comparison of technologies for capturing shower duration of hotel guests

Leveraging LSTM and Reinforcement Learning for Adaptive Sensing in CIoT Nodes

Leveraging LSTM and reinforcement learning for adaptive sensing in CIoT nodes

SCGC : Self-supervised contrastive graph clustering

P4-Secure: In-Band DDoS Detection in Software Defined Networks

P4-Secure: in-band DDoS detection in software defined networks

Does every hotel room need a minifridge? Empirical evidence from consumer self-reports and an automatic sensor-based system measuring electricity consumption and guest use

FusedAR: Energy-Positive Human Activity Recognition Using Kinetic and Solar Signal Fusion

Edge Intelligence Framework for Data-Driven Dynamic Priority Sensing and Transmission

Local Reference-Free In-Field Calibration of Low-Cost Air Pollution Monitoring Sensors

Task Scheduling for Energy-Harvesting-Based IoT: A Survey and Critical Analysis

Learning-Based Adaptive Sensor Selection Framework for Multi-Sensing WSN

P-SCOR: Integration of Constraint Programming Orchestration and Programmable Data Plane

Collaborators (6)

Marcus Gallagher

Franco Callegati

Lukas Sablica

MARCO PRANDINI

Raja Jurdak

Sara Dolnicar

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