Dr. Chong Dae Kim
Faculty of Process Engineering, Energy and Mechanical Systems
Institute of Product Development and Engineering Design
Campus Deutz
Betzdorfer Straße 2
50679 Köln
Room HN 2-24
Mailing address
+49 221-8275-2947
chong.kim@th-koeln.de
Teaching disciplines
- Machine learning, digitalization, modeling and simulation,IPOs, and entrepreneurship modeling using German real estate data
Publications
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"Investigation of the Pressure Dependent Hydrogen Solubility in a Martensitic Stainless Steel Using a Thermal Agile Tubular Autoclave and Thermal Desorption Spectroscopy"https://www.mdpi.com/2075-4701/11/2/231
Patrick Fayek, Sebastian Esser, Vanessa Quiroz and Chong Dae Kim*, Metals 2021, Volume 11, Issue 2, 231, Publisher: MDPI
PEER-REVIEWED PAPER
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„Evaluation and Analysis of the Value of German Real Estate Following the Financial Crisis of 2007“https://agathos.sgh.waw.pl/spisy/pelny_tekst/d106963.pdf
Dr. Volker Arhelger and Dr. Chong Dae Kim, "Real Estate At Exposure", SGH Publishing House, 2021 First Edition, page 205 - 226, ISBN 978-83-8030-442-0, Publisher: Jacek Łaszek, Krzysztof Olszewski, Roman SobieckiI by SGH Publishing House
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„Development of a Data-Driven Method for Online Battery Remaining-Useful-Life Prediction”https://www.mdpi.com/2313-0105/8/10/192
Sebastian Matthias Hell und Dr. Chong Dae Kim*, am 18.10.2022, Publisher: MDPI
Peer-Reviewed Paper
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Predicting housing sale prices in Germany by application of machine learning models and methods of data explorationhttps://econjournals.sgh.waw.pl/KNoP/article/view/4411
Chong Dae Kim and Nils Bedorf, 30.03.2024, Publisher: KNoP 2024, 71, 107–122
PEER-REVIEWED PAPER
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Feasibility Study of Wheel Torque Prediction with a Recurrent Neural Network Using Vehicle Datahttps://www.mdpi.com/2624-8921/5/2/33
Miriam Weinkath, Simon Nett und Chong Dae Kim, 18.5.2023, Publisher: MDPI