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Prof. Gerhard Lakemeyer, Ph.D. - Theses


Master
A Neural Network Model for Visualization Recommendation System - Running
A Recommendation Tool for Data Visualization using Artificial Neural Networks
Bachelor
Autonomous Planning of Industrial Processes for the Internet of Production - Finished
Completed by Balog, Nikola in 2020; Supervised by Prof. Gerhard Lakemeyer, Ph.D., Prof. Dr. Stefan Decker; Advisor(s): Martin Liebenberg, Lars Gleim, M. Sc.
Bachelor
Automatic Provenance Generation for Serverless Computing - Finished
Completed by van der Linden, Nina in 2020; Supervised by Prof. Dr. Stefan Decker, Prof. Gerhard Lakemeyer, Ph.D.; Advisor(s): Lars Gleim, M. Sc., Martin Liebenberg
In the context of this work, the student should extend the Function-as-a-Service (FaaS) paradigm of serverless computing with concepts for the automatic tracking of provenance information or data lineage (information about data origins, uses, actors and involved processes over time, similar to a GIT revision history for data) and implement a corresponding framework using a readily available FaaS platform, such as Kubeless, OpenFaaS or the Fn Project, as well as the existing factlib.js library for semi-automatic provenance tracking, that was developed as a result of previous work.
Master
Holistic History User Interface in HCM Cloud Applications - Finished
Completed by Dev Sharma in 2016; Supervised by Prof. Dr. Christoph Quix, Prof. Gerhard Lakemeyer, Ph.D.; Advisor(s): SAP Cloud HCM UX Manager Sabine Finke, Dr. Rihan Hai,
The goal of the thesis is to design and develop a Holistic History User Interface that enables the users i.e. Managers and HR Business Partners (HRBPs) to have a complete overview of employee's historical data items with a possibility to drill down on details. The UI aims to bring together employee's scattered history, humanize large volumes of records and make it more consumable for its users by introducing a new paradigm for visualization of employee's historical records.
Master
Data Management in the Cloud - Finished
Completed by Kesgin, Süha in 2011; Supervised by Prof. Dr. Matthias Jarke, Prof. Gerhard Lakemeyer, Ph.D.; Advisor(s): Prof. Dr. Christoph Quix, Adolf Pleyer (SAP Research), Dr. Dejan Kovachev, Michael Rausseck (SAP Research)
Master
Diplom
Robust Collaborative Filtering - Finished
Completed by Joswig, Nadine in 2009; Supervised by Prof. Gerhard Lakemeyer, Ph.D., Prof. Boi Faltings; Advisor(s): Florent Garcin
PhD
Biologically Inspired Binaural Sound Source Localization and Tracking for Mobile Robots - Finished
Completed by Calmes, Laurent in 2009; Supervised by Prof. Dr. Hermann Wagner, Prof. Gerhard Lakemeyer, Ph.D.
Diplom
Developing A Behavior Engine for the Fawkes Robot-Control Software and its Adaptation to the Humanoid Platform Nao - Finished
Completed by Niemüller, Tim in 2009; Supervised by Prof. Gerhard Lakemeyer, Ph.D., Prof. Dr.-Ing. Stefan Kowalewski
Person Publications

Lars Gleim, Jan Pennekamp, Martin Liebenberg, Melanie Buchsbaum, Philipp Niemietz, Simon Knape, Alexander Epple, Simon Storms, Daniel Trauth, Thomas Bergs, Christian Brecher, Stefan Decker, Gerhard Lakemeyer, Klaus Wehrle

FactDAG: Formalizing Data Interoperability in an Internet of Production

IEEE Internet of Things Journal

G. Gans, Matthias Jarke, Stefanie Kethers, Gerhard Lakemeyer, Dominik Schmitz

Requirements Engineering for Trust-Based Interorganizational Networks

In E. Yu, P. Giorgini, N.M. Maiden, J. Mylopoulos (eds.): Social Modeling for Requirements Engineering. MIT Press 2011, pp. 187-218 (ISBN 978-0-262-24055-0).

Dominik Schmitz, Thomas Arzdorf, Matthias Jarke, Gerhard Lakemeyer

Analyzing Agent-Based Simulations of Inter-Organizational Networks

Workshop on Agents and Data Mining Interaction (ADMI@AAMAS), 2010, Toronto, CA

More publications…