Marius Becherer

HDR Student
Marius is a PhD candidate at the School of Business at UNSW Canberra.
His research focuses on trust recommendations in the Social Internet of Things. He holds a Bachelor of Engineering and a Master in Science from universities in Germany. During his prior study, Marius was involved in various software development projects at one of the world-leading sensor manufacturers. Besides university, he enjoys functional fitness and outdoor activities.

PUBLICATIONS

Book Chapters
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Becherer M; Karduck A, 2021, 'Agent-Based Simulation for Testing Vehicle-On-Demand Services in Rural Areas', in Advances in Intelligent Systems and Computing, Springer International Publishing, pp. 256 - 269, http://dx.doi.org/10.1007/978-3-030-55190-2_20
2021
Becherer M; Zipperle M; Gottwalt F; Green S; Bui-Nguyen T; Chang E, 2020, 'Engineering a Trustworthy Private Blockchain for Operational Risk Management', in A Framework of Human Systems Engineering, Wiley, pp. 205 - 223, http://dx.doi.org/10.1002/9781119698821.ch11
2020
Conference Papers
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Zipperle M; Becherer M; Karduck A, 2020, 'Speech Triggered Mobility Support and Privacy', in IFIP Advances in Information and Communication Technology, pp. 273 - 283, http://dx.doi.org/10.1007/978-3-030-46931-3_26
2020
Zipperle M; Gottwalt F; Becherer M; Wang K; Zhang Y; Chang E, 2020, 'A Machine Learning and Blockchain Platform for Operation Risk Management - An Application to Real-time Risk Awareness System Development', Springer Singapore, India, pp. 1053 - 1061, presented at Virtual International Conference on Futuristic Communication and Network Technologies, India, 06 November 2020, http://dx.doi.org/10.1007/978-981-16-4625-6_104
2020
Journal articles
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Becherer M; Bui-Nguyen T; Zipperle M; Gottwalt F, 2020, 'A Compromise-Tolerant Key Management Framework for Private Blockchain', International Journal of Engineering Intelligent Systems for Electrical Engineering and Communications, vol. 28
2020
Zipperle M; Becherer M; Gottwalt F; Zhang Y; Wang K, 2020, 'An ai-based automated continuous compliance awareness framework (CoCAF) for procurement auditing', Big Data and Cognitive Computing, vol. 4, pp. 1 - 14, http://dx.doi.org/10.3390/bdcc4030023
2020
Becherer M; Zipperle M; Karduck A, 2020, 'Intelligent choice of machine learning methods for predictive maintenance of intelligent machines', Computer Systems Science and Engineering, vol. 35, pp. 81 - 89, http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000538985500002&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=891bb5ab6ba270e68a29b250adbe88d1
2020
Wang K; Zipperle M; Becherer M; Gottwalt F; Zhang Y, 2020, 'An AI-Based Automated Continuous Compliance Awareness Framework (CoCAF) for Procurement Auditing', BIG DATA AND COGNITIVE COMPUTING, vol. 4, http://dx.doi.org/10.3390/bdcc4030023
2020
Organisational units
lensSchool of Business