Dr. Niclas Kannengiesser: Practitioner Motives to Use Different Hyperparameter Optimization Methods

After studying industrial engineering and computer science at the University of Kassel, Niclas became a PhD student in information systems at the Karlsruhe Institute of Technology (KIT), Germany, in 2018. Given his technical background, Niclas started his research with a focus on blockchain technology and development of decentralized applications. Soon after starting his PhD, Niclas realized the importance of incorporating social aspects into his research to go beyond traditional distributed computing systems and support purposeful information system decentralization. Using different empirical methods, he investigated how social and technical aspects of information systems drive decentralization and how information systems can benefit from different degrees of decentralization. Those topics were at the core of his PhD thesis, which he successfully defended in February 2024. Currently, Niclas is a postdoctoral researcher with the critical information systems infrastructures research group at the KIT. He continues investigating information systems decentralization with a focus on different technologies (e.g., automated machine learning, blockchain technology, and collaborative distributed machine learning), social aspects (e.g., reliable collaborator selection in collaborative distributed machine learning systems, fairness in recommender systems, and market quality in cryptoeconomic systems), and the interplay between technical and social aspects.

Dr. Niclas Kannengiesser: KIT - AIFB - CII - Team - Postdoktoranden - Niclas Kannengiesser - Dr.-Ing. Niclas Kannengiesser

Beitreten Zoom-Meeting 
https://unisg.zoom.us/j/88265189076?pwd=THZYSkxoSXVXMGEvZjFweWN1RHlxQT09

Meeting-ID: 882 6518 9076
Kenncode: 531516