Maximilian Lowin

M.Sc. Business Informatics

 

Office: 2.210
lowin(at)wiwi.uni-frankfurt.de
Phone +49 (69) 798 34695

Biography

Maximilian Lowin studied business informatics at TU Darmstadt. There, he completed his Master's degree in 2019 with the academic title Master of Science. During his studies he spent an exchange semester at Chalmers University of Technology and focused mainly on the topics of artificial intelligence and human user interfaces.

He wrote his master thesis on the topic "The influence of employee satisfaction on a company's success - An empirical study using Social Media platforms as an example". Besides the studies, he worked as a freelance software developer on the topics of web, databases, and IoT.

Since January 2020 Maximilian Lowin is working as a research assistant at the Chair of Information Systems and Information Management of Prof. Dr. Oliver Hinz.

Core Areas
  • Machine Learning
  • Information Extraction from Social Media and Public Data Sources
  • Smart Living & Internet of Things
  • Decision Support Systems
Publications

Kortum, Henrik / Hagen, Simon / Eleks, Marian / Rebstadt, Jonas / Remark, Florian / Lowin, Maximilian / Mihale-Wilson, Cristina / Eberhardt, Birgid / Roß, Andree / Maihöfner, Dominik / Hinz, Oliver / Thomas, Oliver (2023): "SECAI – Sustainable heating through Edge-Cloud-based AI systems", HMD Praxis der Wirtschaftsinformatik, forthcoming.

Kellner, Domenic / Lowin, Maximilian / Hinz, Oliver (2023): "Improved Healthcare Disaster Decision-Making Utilizing Information Extraction from Complementary Social Media Data during the COVID-19 Pandemic", Decision Support Systems, forthcoming.

Lowin, Maximilian / Seip, Jendrik (2022): "AI-based Online Vacancies - Trends and Differences between SMEs and Larger Enterprises", INFORMATIK 2022, Gesellschaft für Informatik, Bonn, Germany, forthcoming.

Hinz, Oliver / Lowin, Maximilian / Reichman, Shachar / von Zahn, Moritz (2022): "An Experimental Analysis of Profit Maximizing Recommendation Systems", Conference on Digital Experimentation (CODE@MIT) 2022, forthcoming.

Kellner, Domenic / Lowin, Maximilian / von Zahn, Moritz / Chen, Johannes (2021): "Towards Designing a User-centric Decision Support System for Predictive Maintenance in SMEs", INFORMATIK 2021, Gesellschaft für Informatik, Bonn, Germany, S. 1255-1260, dl.gi.de/handle/20.500.12116/37608.

Lowin, Maximilian / Kellner, Domenic / Kohl, Tobias / Mihale-Wilson, Cristina (2021): "From Physical to Virtual: Leveraging Drone Imagery to Automate Photovoltaic System Maintenance", INFORMATIK 2021, Gesellschaft für Informatik, Bonn, Germany, S. 1201-1211, dl.gi.de/handle/20.500.12116/37769.

Lowin, Maximilian / Mihale-Wilson, Cristina (2021): "Towards Predictive Maintenance as a Service in the Smart Housing Industry", INFORMATIK 2021, Gesellschaft für Informatik, Bonn, Germany, S. 1093-1106, dl.gi.de/handle/20.500.12116/37758.

Lowin, Maximilian / Kellner, Domenic (2021): "From Twitter to COVID-19: Using NLP to Predict COVID-19 Infections", Pacific Asia Conference on Information Systems (PACIS 2021), aisel.aisnet.org/pacis2021/147

Kellner, Domenic / Lowin, Maximilian / Hinz, Oliver (2021): "The Impact of the COVID-19 Pandemic on Employee Satisfaction ", Pacific Asia Conference on Information Systems (PACIS 2021), aisel.aisnet.org/pacis2021/18

Hinz, Oliver / Mihale-Wilson, Cristina / Lowin, Maximilian (2020): "Smart Living: Der Mensch im Zentrum", Forschung Frankfurt, 37 (1.2020), 78-82.

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