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 artificial intelligence and human user interfaces.

He wrote his Master's thesis on "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 web, database, and IoT software developer.

Since January 2020, Maximilian Lowin has been working as a research assistant at the Chair of Information Systems and Information Management of Prof. Dr. Oliver Hinz. His research focuses on applying artificial intelligence in various domains such as smart living, multi-stakeholder recommender systems, or clinical decision-support. Currently, SECAI is his main research project.

Core Areas
  • Machine Learning
  • Information Extraction from Social Media and Public Data Sources
  • Smart Living & Internet of Things, esp. Sustainable Heating
  • (Clinical) Decision Support Systems
Publications

Weber, Patrick / Lowin, Maximilian / Kumpf, Johanna Sophie (2024): "How Negative Comments Shape Source Credibility and Purchase Intention in Influencer Marketing", Pacific-Asia Conference on Information Systems (PACIS) 2024, Ho Chi Minh City, Vietnam. Conditionally Accepted.

Kohl, Tobias / Lowin, Maximilian (2024): "Privacy by Design: Data-Saving Activity Estimation Using Room-Based Non-Intrusive Load Monitoring for Ambient Assisted Living", Pacific-Asia Conference on Information Systems (PACIS) 2024, Ho Chi Minh City, Vietnam. Conditionally Accepted.

Lowin, Maximilian (2024): "A Text-based Predictive Maintenance Approach for Facility Management Requests Utilizing Association Rule Mining and Large Language Models", Machine Learning and Knowledge Extraction, 6(1) [View].

Chen, Johannes / Lowin, Maximilian / Kellner, Domenic / Hinz, Oliver / Adam, Elisabeth Hannah / Ippolito, Angelo / Wenger-Alakmeh, Katharina (2023): "Designing Expert-augmented Clinical Decision Support Systems to predict Mortality Risk in ICUs", KI - Künstliche Intelligenz (2023) [View].

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 60, S. 850-871 [View].

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 (172), 113983 [View].

Hinz, Oliver / Lowin, Maximilian / Oz, Dana / Reichman, Shachar / Somech, Iris / von Zahn, Moritz (2023): "An Experimental Analysis of Profit Maximizing Recommendation Systems", Workshop on Information Systems and Economics (WISE) 2023.

Hinz, Oliver / Lowin, Maximilian / Oz, Dana / Reichman, Shachar / Somech, Iris / von Zahn, Moritz (2023): "Incorporating Large Language Models into Product Recommender Systems", Workshop on Intelligent Agents and their Interplay within Service at ICIS 2023.

Lowin, Maximilian / Seip, Jendrik (2022): "AI-based Online Vacancies - Trends and Differences between SMEs and Larger Enterprises", INFORMATIK 2022, Gesellschaft für Informatik, Bonn, Germany, S. 247-258, dl.gi.de/items/b98ab7d3-dd55-456c-89cd-4e16d5952018.

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.

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. [View]

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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