Christoph P. Neumann

Prof. Dr.-Ing. Christoph P. Neumann is an Associate Professor at Amberg-Weiden University of Applied Sciences (OTH) in the Faculty of Electrical Engineering, Media Technology and Computer Science, holding a W2 professorship in Big Data and Cloud Computing for AI since 2021. Previously, he served as a guest lecturer at Friedrich-Alexander-University Erlangen-Nuremberg (FAU) from 2013 to 2020, accumulating over thirteen years of university teaching experience.

Education: Neumann earned his doctorate (Dr.-Ing.) from FAU, where his dissertation on distributed data management, system integration, and process management received a top grade and nomination for the GI Dissertation Award.

Research Interests: His work focuses on Big Data infrastructure, AI-driven analytics, and cloud-native software architecture, with emphasis on scalable data-centric applications. He aims to establish nationally visible Big Data research integrated with OTH's Faculty EMI, ensuring AI students receive industry-relevant curricula. Key innovations include data lake technologies for BI modernization and graph databases for content management systems.

Scientific Awards:

• Nomination for GI Dissertation Award
• Two-time recipient of FAU's best course award (Exercises/GOP subject)
• Ranked among OTH's Top-5 scientists (out of 200+ professors)
• Best Paper Award (2024, with Patrick Levi)
• IARIA Fellowship (2025)
• Best Paper Award (2025, with Philipp Stangl)

Advising and Grants: Supervised 25 student theses at FAU and secured approximately 900,000€ in external funding through three cluster projects, creating additional PhD positions. Industry projects included 768,000€ revenue contribution at EXASOL and 2.7 million € budget responsibility at Teambank AG for BI modernization.

Labs and Teams: Speaker of the Research Cluster Robotics & Big Data (RBD-OTH) and member of the Innovation and Competence Center Artificial Intelligence (IKKI). Also serves on INDIGO consortium's steering committee and advises four profile schools for computer science (PIZ), with a guest professorship at Hefei University (China) teaching Big Data principles.