Prof. Dr. Burkhardt Funk
Vita
Burkhardt Funk is Professor of Information Systems and Data Science at Leuphana University Lüneburg. His research focuses on decision making and building data-driven serivces based on machine learning, especially in the areas of e-commerce and e-health. His teaching focuses on the mathematical foundations and applications of artificial intelligence. In 2015, he initiated one of the first Data Science degree programs in Germany and has been leading the Data Literacy Education Initiative at Leuphana, DATAx, since 2018. He has been a visiting scholar at Stanford University and the University of Virginia in Charlottesville.
The transfer of scientific findings into practice plays an important role in Burkhardt's work. He was and is involved in numerous start-ups. These include companies such as Parklane Internet, uniquedigital, HelloBetter, Deutscher Pflegering, Adference, erason, PersonalAIze and most recently Smartboatia. He also advises companies in the areas of data-driven decisions, products, and services.
Publications
Journal contributions
- Efficacy of a hybrid online training for panic symptoms and agoraphobia: study protocol for a randomized controlled trial
Lara Ebenfeld (Author) , Stefan Kleine Stegemann (Author) , Dirk Lehr (Author) , David Daniel Ebert (Author) , Hooria Jazaieri (Author) , Wouter van Ballegooijen (Author) , Burkhardt Funk (Author) , Heleen Riper (Author) , Matthias Berking (Author) , 04.11.2014 , in: Trials, 15, 1 , 10 p.Research output: Journal contributions › Journal articles › Research › peer-review
- Real-Time Advertising
Martin Stange (Author) , Burkhardt Funk (Author) , 01.10.2014 , in: Business and Information Systems Engineering, 6, 5 , p. 305-308 , 4 p.Research output: Journal contributions › Journal articles › Research › peer-review
- A Cross-Industry Analysis of the Spillover Effect in Paid Search Advertising
Florian Nottorf (Author) , Burkhardt Funk (Author) , 01.09.2013 , in: Electronic Markets, 23, 3 , p. 205-216 , 12 p.Research output: Journal contributions › Journal articles › Research › peer-review
Contributions to collected editions/anthologies
- Cross-Channel Real-Time Response Analysis
Burkhardt Funk (Author) , Nadia Abou Nabout (Author) , 01.01.2016 , p. 141-151 , 11 p.Research output: Contributions to collected editions/anthologies › Contributions to collected editions/anthologies › Transfer
- How Much Tracking Is Necessary? - The Learning Curve in Bayesian User Journey Analysis
Martin Stange (Author) , Burkhardt Funk (Author) , 29.05.2015 , 13 p.Research output: Contributions to collected editions/anthologies › Article in conference proceedings › Research › peer-review
- The Economic Value of Clickstream Data From an Advertiser's Perspective
Florian Nottorf (Author) , Burkhardt Funk (Author) , 01.01.2013 Atlanta, GA , 12 p.Research output: Contributions to collected editions/anthologies › Article in conference proceedings › Research › peer-review
- To Bid or Not To Bid?: Investigating Retail-Brand Keyword Performance in Sponsored Search Advertising
Tobias-Benedikt Blask (Author) , Burkhardt Funk (Author) , Reinhard Schulte (Author) , 01.01.2012 , p. 129-140 , 12 p.Research output: Contributions to collected editions/anthologies › Contributions to collected editions/anthologies › Research › peer-review
Courses
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In dieser Veranstaltung lernen Sie, Daten physischer Sensoren mit modernen Machine-Learning-Verfahren zu verarbeiten und zu modellieren – vom Data Cleaning und der Signalaufbereitung über Feature-Engineering und Modelltraining bis zur Evaluation. Die vermittelten Methoden finden sich u. a. in Predictive Maintenance, im autonomen Fahren sowie in datenschutzfreundlichen Ansätzen wie Federated Learning wieder.
Nach einer einführenden Vorlesungsphase entwickeln Sie ein eigenes Projekt, in dem Sie Sensordaten erheben, analysieren und für Erkennung, Vorhersage oder Anomaliedetektion nutzen – etwa zur Aktivitäts- und Gangerkennung, Haltungsklassifikation, Belastungs-/Stressschätzung oder Zustandsprognose technischer Systeme.
Als Leitfaden dient Hoogendoorn & Funk (2018), Machine Learning for the Quantified Self.
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- Aussagenlogik
- Aufbau des Zahlensystems
- Beweistechniken, insbesondere Induktionsprinzip
- Abbildungen
Lineare Algebra:
- Vektorräume
- Lineare Abbildungen
- Matrizen
- Gleichungssysteme
- Determinanten
- Eigenwerte
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Our colloquium features a diverse set of formats:
* Research Talks: IIS faculty and doctoral researchers present ongoing projects and recent findings, receiving constructive feedback in a collaborative environment.
* Invited Expert Lectures: Renowned national and international scholars are invited to share cutting-edge research and theoretical insights, offering new perspectives and fostering academic exchange.
* Startup & Industry Talks: Entrepreneurs and professionals from startups and established companies discuss real-world challenges and innovations at the intersection of business and technology, providing practical insights and networking opportunities.
* Interdisciplinary Dialogues: The colloquium also opens space for collaborative sessions across disciplines, reflecting the integrative and transdisciplinary mission of Leuphana University.
Open to members of the university and interested guests, the IIS Research Colloquium serves as an essential forum for inspiration, collaboration, and advancing impactful research.