Publications

Publications Institute of Parallel and Distributed Systems: Year 2019

Documents of the Institute

• Articles in Proceedings
• Articles in Journals
• Articles in Books
 

• Dissertations
• Master Theses
• Bachelor Theses
• Miscellaneous Papers

• Abdelaal, Mohamed; Dandy, Mochamad; Abdelgawad, Marwan; Duerr, Frank; Rothermel, Kurt: GaaS: Adaptive Cross-Platform Gateway for IoT Applications. In: Proceedings of the 16th IEEE International Conference on Mobile Ad-Hoc and Smart Systems (EEE MASS), 2019.
• Bibartiu, Otto; Dürr, Frank; Rothermel, Kurt; Ottenwälder, Beate; Grau, Andreas: Towards Scalable k-out-of-n Models for Assessing the Reliability of Large-scale Function-as-a-Service Systems with Bayesian Networks. In: IEEE (ed.): 2019 IEEE 12th International Conference on Cloud Computing (CLOUD).
• Falk, Jonathan; Dürr, Frank; Linsenmayer, Steffen; Wildhagen, Stefan; Carabelli Ben; Rothermel, Kurt: Optimal Routing and Scheduling of Complemental Flows in Converged Networks. In: Proceedings of the 27th International Conference on Real-Time Networks and Systems (RTNS 2019), November 6-8, 2019 -Toulouse/France.
• Falk, Jonathan; Dürr, Frank; Rothermel, Kurt: Modeling Time-Triggered Service Intermittence In Network Calculus. In: Proceedings of the 27th International Conference on Real-Time Networks and Systems (RTNS 2019), November 6-8, 2019 -Toulouse/France.
• Falk, Jonathan; Hellmanns, David; Carabelli, Ben; Nayak, Naresh; Dürr, Frank; Kehrer, Stephan; Rothermel, Kurt: NeSTiNg: Simulating IEEE Time-sensitive Networking (TSN) in OMNeT++. In: Proceedings of the 2019 International Conference on Networked Systems (NetSys).
• Fritz, Manuel; Schwarz, Holger: Initializing k-Means Efficiently: Benefits for Exploratory Cluster Analysis. In: Panetto, Hervé (ed.); Debruyne, Christophe (ed.); Hepp, Martin (ed.); Lewis, Dave (ed.); Ardagna, Claudio Agostino (ed.); Meersman, Robert (ed.): On the Move to Meaningful Internet Systems: OTM 2019 Conferences.
• Giebler, Corinna; Gröger, Christoph; Hoos, Eva; Schwarz, Holger: Leveraging the Data Lake - Current State and Challenges. In: Proceedings of the 21st International Conference on Big Data Analytics and Knowledge Discovery (DaWaK'19), 2019.
• Giebler, Corinna; Gröger, Christoph; Hoos, Eva; Schwarz, Holger: Modeling Data Lakes with Data Vault: Practical Experiences, Assessment, and Lessons Learned. In: Proceedings of the 38th Conference on Conceptual Modeling (ER 2019).
• Hirsch, Vitali; Reimann, Peter; Mitschang, Bernhard: Data-Driven Fault Diagnosis in End-of-Line Testing of Complex Products. In: Proceedings of the 6th IEEE International Conference on Data Science and Advanced Analytics (DSAA 2019), Washington, D.C., USA.
• Kiefer, Cornelia; Reimann, Peter; Mitschang, Bernhard: A Hybrid Information Extraction Approach Exploiting Structured Data Within a Text Mining Process. In: Grust, Torsten (ed.); Naumann, Felix (ed.); Böhm, Alexander (ed.); Lehner, Wolfgang (ed.); Härder, Theo (ed.); Rahm, Erhard et al. (ed.): 18. Fachtagung des GI-Fachbereichs ,,Datenbanken und Informationssysteme (DBIS), 4.-8. März 2019, Rostock, Germany, Proceedings.
• Kiefer, Cornelia: Quality Indicators for Text Data. In: Meyer, Holger (ed.); Ritter, Norbert (ed.); Thor, Andreas (ed.); Nicklas, Daniela (ed.); Heuer, Andreas (ed.); Klettke, Meike (ed.): 18. Fachtagung des GI-Fachbereichs ,,Datenbanken und Informationssysteme (DBIS), 4.-8. März 2019, Rostock, Germany, Workshopband.
• Linsenmayer, Steffen; Carabelli, Ben W.; Dürr, Frank; Falk, Jonathan; Allgöwer, Frank; Rothermel, Kurt: Integration of Communication Networks and Control Systems Using a Slotted Transmission Classification Model. In: Proceedings of the 16th IEEE Annual Consumer Communications & Networking Conference (CCNC), 2019.
• Lucke, Dominik; Steimle, Frank; Cuk, Emir; Luckert, Michael; Schneider, Matthias; Schel, Daniel: Implementation of the MIALinx User Interface for Future Manufacturing Environments. In: Proceedings of the 52nd CIRP Conference on Manufacturing Systems (CMS), Ljubljana, Slovenia, June 12-14, 2019.
• Röger, Henriette; Bhowmik, Sukanya; Rothermel, Kurt: Combining it all: Cost minimal and low-latency stream processing across distributed heterogeneous infrastructures. In: Proceedings of Middleware '19: 20th International Middleware Conference (Middleware '19) Dec 08-13 2019. Davis, CA, USA . ACM, New York, NY, USA.
• Scheufele, Klaudius; Subramanian, Shashank; Mang, Andreas; Biros, George; Mehl, Miriam: IMAGE-DRIVEN BIOPHYSICAL TUMOR GROWTH MODEL CALIBRATION. In: SIAM Journal on Scientific Computing, 2019.
• Slo, Ahmad; Bhowmik, Sukanya; Flaig, Albert; Rothermel, Kurt: pSPICE: Partial Match Shedding for Complex Event Processing. In: Proceedings of the 2019 IEEE International Conference on Big Data (BigData '19); Los Angeles, CA, USA 9 - 12 December, 2019.
• Slo, Ahmad; Bhowmik, Sukanya; Rothermel, Kurt: eSPICE: Probabilistic Load Shedding from Input Event Streams in Complex Event Processing. In: Proceedings of Middleware '19: 20th International Middleware Conference (Middleware '19) Dec 08-13 2019. Davis, CA, USA . ACM, New York, NY, USA.
• Spieß, Marco; Reimann, Peter: Angepasstes Item Set Mining zur gezielten Steuerung von Bauteilen in der Serienfertigung von Fahrzeugen. In: Tagungsband der 18. Konferenz Datenbanksysteme für Business, Technologie und Web (BTW 2019).
• Stach, Christoph; Giebler, Corinna; Schmidt, Simone: Zuverlässige Verspätungsvorhersagen mithilfe von TAROT. In: Tagungsband der 18. GI-Fachtagung Datenbanksysteme für Business, Technologie und Web, 2019.
• Stach, Christoph; Mitschang, Bernhard: ECHOES: A Fail-safe, Conflict Handling, and Scalable Data Management Mechanism for the Internet of Things. In: Welzer, Tatjana (ed.); Eder, Johann (ed.); Podgorelec, Vili (ed.); Kamisalic Latific, Aida (ed.): Proceedings of the 23rd European Conference on Advances in Databases and Information Systems: ADBIS '19; Bled, Slovenia, September 8-11, 2019.
• Stach, Christoph; Steimle, Frank; Gritti, Clementine; Mitschang, Bernhard: PSSST! The Privacy System for Smart Service Platforms: An Enabler for Confidable Smart Environments. In: Proceedings of the 4th International Conference on Internet of Things, Big Data and Security (IoTBDS '19), 2019.
• Stach, Christoph; Steimle, Frank: Recommender-based Privacy Requirements Elicitation - EPICUREAN: An Approach to Simplify Privacy Settings in IoT Applications with Respect to the GDPR. In: Proceedings of the 34th ACM/SIGAPP Symposium On Applied Computing (PDP), 2019.
• Stach, Christoph: Konzepte zum Schutz privater Muster in Zeitreihendaten: IoT-Anwendungen im Spannungsfeld zwischen Servicequalität und Datenschutz. In: Informatik 2019: 50 Jahre Gesellschaft für Informatik – Informatik für Gesellschaft, Tagungsband der 49. Jahrestagung der Gesellschaft für Informatik e.V. (GI), 23.09. - 26.09.2019, Kassel.
• Stach, Christoph: VAULT: A Privacy Approach towards High-Utility Time Series Data. In: Proceedings of the Thirteenth International Conference on Emerging Security Information, Systems and Technologies: SECURWARE 2019.
• Weber, Christian; Hirmer, Pascal; Reimann, Peter; Schwarz, Holger: A New Process Model for the Comprehensive Management of Machine Learning Models. In: Filipe, Joaquim (ed.); Smialek, Michal (ed.); Brodsky, Alexander (ed.); Hammoudi, Slimane (ed.): Proceedings of the 21st International Conference on Enterprise Information Systems (ICEIS); Heraklion, Crete, Greece, May 3-5, 2019.

• Del Gaudio, Daniel; Hirmer, Pascal: A lightweight messaging engine for decentralized data processing in the Internet of Things. In: SICS Software-Intensive Cyber-Physical Systems, Springer Berlin Heidelberg, 2019.
• Fritz, Manuel; Behringer, Michael; Schwarz, Holger: Quality-driven early stopping for explorative cluster analysis for big data. In: Software-Intensive Cyber-Physical Systems, Springer Berlin Heidelberg, 2019.
• Fritz, Manuel; Muazzen, Osama; Behringer, Michael; Schwarz, Holger: ASAP-DM: a framework for automatic selection of analytic platforms for data mining. In: Software-Intensive Cyber-Physical Systems, Springer Berlin Heidelberg, 2019.
• Hirschmann, Steffen; Glass, Colin W.; Pflüger, Dirk: Enabling unstructured domain decompositions for inhomogeneous short-range molecular dynamics in ESPResSo. In: The European Physical Journal Special Topics. Vol. 227(14), Springer Nature, 2019.
• Kiefer, Cornelia; Reimann, Peter; Mitschang, Bernhard: QUALM: Ganzheitliche Messung und Verbesserung der Datenqualität in der Textanalyse. In: Datenbank-Spektrum, Springer Verlag, 2019.
• Mehl, Miriam; Lahnert, Michael: Adaptive grid implementation for parallel continuum mechanics methods in particle simulations. In: Holm, Christian (ed.); Ertl, Thomas (ed.); Schmauder, Siegfried (ed.); Kästner, Johannes (ed.); Gross, Joachim (ed.): The European Physical Journal Special Topics. Bd. 227(14), Springer Berlin Heidelberg, 2019.
• Mormul, Mathias; Hirmer, Pascal; Wieland, Matthias; Mitschang, Bernhard: Distributed Situation Recognition in Industry 4.0. In: International Journal On Advances in Intelligent Systems. Vol. 12(1), IARIA, 2019.
• Petrik, Dimitri; Mormul, Mathias; Reimann, Peter: Anforderungen für Zeitreihendatenbanken in der industriellen Edge. In: HMD Praxis der Wirtschaftsinformatik. Bd. 56, Springer-Verlag, 2019.
• Röger, Henriette; Mayer, Ruben: A Comprehensive Survey on Parallelization and Elasticity in Stream Processing. In: ACM Computing Surveys (CSUR). Bd. 52(2), New York: ACM, 2019.
• Saatkamp, Karoline; Breitenbücher, Uwe; Kopp, Oliver; Leymann, Frank: An approach to automatically detect problems in restructured deployment models based on formalizing architecture and design patterns. In: SICS Software-Intensive Cyber-Physical Systems, Springer Berlin Heidelberg, 2019.
• Saatkamp, Karoline; Breitenbücher, Uwe; Kopp, Oliver; Leymann, Frank: Method, formalization, and algorithms to split topology models for distributed cloud application deployments. In: Computing, Springer Wien, 2019.
• Scheufele, Klaudius; Mang, Andreas; Gholami, Amir; Davatzikos, Christos; Biros, George; Mehl, Miriam: Coupling Brain-Tumor Biophysical Models and Diffeomorphic Image Registration. In: Elsevier (ed.): Computer Methods in Applied Mechanics and Engineering, Elsevier, 2019.
• Stach, Christoph: Datenschutzkonzepte für Zeitreihendaten: Bewertung von qualitätsbewahrenden Transformationsoperatoren zum Schutz privater Datenmuster in IoT-Anwendungen. In: Datenschutz und Datensicherheit - DuD. Bd. 43(12), Wiesbaden: Springer Fachmedien, 2019.

• Stach, Christoph; Mitschang, Bernhard: Elicitation of Privacy Requirements for the Internet of Things Using ACCESSORS. In: Mori, Paolo (ed.); Furnell, Steven (ed.); Camp, Olivier (ed.): Information Systems Security and Privacy, Cham: Springer Nature, 2019.
• Stach, Christoph; Steimle, Frank; Mitschang, Bernhard: How to Realize Device Interoperability and Information Security in mHealth Applications. In: Cliquet Jr., Alberto (ed.); Wiebe, Sheldon (ed.); Anderson, Paul (ed.); Saggio, Giovanni (ed.); Zwiggelaar, Reyer (ed.); Gamboa, Hugo (ed.); Fred, Ana (ed.); Bermudez i Badia, Sergi (ed.): Biomedical Engineering Systems and Technologies, Cham: Springer Nature, 2019.
• Stach, Christoph: Fine-Grained Privacy Control for Fitness and Health Applications Using the Privacy Management Platform. In: Mori, Paolo (ed.); Furnell, Steven (ed.); Camp, Olivier (ed.): Information Systems Security and Privacy, Cham: Springer Nature, 2019.

• Mayer, Christian: Scalable Graph Partitioning for Distributed Graph Processing, Doctoral Thesis, 2019.
• Riaz, Zohaib: Supporting Location Privacy in Geo-social Networks, Doctoral Thesis, 2019.
• Scheufele, Klaudius: Coupling Schemes and Inexact Newton for Multi-Physics and Coupled Optimization Problems, Doctoral Thesis, 2019.
• Schnitzer, Stephan: Real-time Scheduling for 3D Rendering on Automotive Embedded Systems, Doctoral Thesis, 2019.

• Abdelmalek, Michael: CNN-Based Volume Segmentation for Industrial Computed Tomography, Master Thesis No. 99, 2019.
• Balachandra Midlagajni, Niteesh: Learning object affordances using human motion capture data, Master Thesis No. 111, 2019.
• Bhat, Megha: Parallel Architecture of High Throughput JPEG2000 Decoder, Master Thesis No. 106, 2019.
• Bitz, Roman: Framework für einen zusammengesetzten Datenspeicher, Master Thesis No. 40, 2019.
• Bjelic, Ahmed: Learning Robotic Reactive Behavior from Human Demonstration via Dynamic Behavior Trees, Master Thesis No. 108, 2019.
• Böpple, Teresa: Machine Learning to Predict Optimization Results On-The-Fly, Master Thesis No. 109, 2019.
• Crespi, Veronica: Dynamic safe active learning with NARX Gaussian processes, Master Thesis No. 113, 2019.
• Diebold, Johannes Thomas: A Heuristic Approach for Joint Scheduling and Routing in Time-Sensitive Networks, Master Thesis No. 116, 2019.
• Diehm, Alexander: Lokales Alerting in Monitoringsystemen, Master Thesis No. 42, 2019.
• Drieß, Danny: A machine learning approach to control musculoskeletal systems, Master Thesis No. 107, 2019.
• Dudani, Nehal: 2D-3D registration of computed tomography data using neural networks, Master Thesis No. 105, 2019.
• Eissa, Sherif Salah Eldeen Badawy: Investigation and Implementation of Sparsity for a CNN Accelerator on FPGA using HLS, Master Thesis No. 100, 2019.
• Franczak, Patrick: Design and proto-typical implementation of an analysis tool interface for a task-based PGAS runtime, Master Thesis No. 94, 2019.
• Geppert, Heiko: Massive hypergraph partitioning, Master Thesis No. 60, 2019.
• Golda, Robert: Integration von Datenqualitätsmethoden in das Datenflusswerkzeug FlexMash, Master Thesis No. 36, 2019.
• Gong, Zhaowen: A Deep Learning Based Registration Method for 3D CT Volume, Master Thesis No. 104, 2019.
• Güth, Jan: Design und Implementierung eines Konzepts zur eindeutigen Identifizierung von Softwarekomponenten auf Geräten im IIoT-Umfeld, Master Thesis No. 114, 2019.
• Holzmüller, David: Convergence Analysis of Neural Networks, Master Thesis No. 68, 2019.
• Karadeniz, Mustafa: Design and implementation of a QoS-aware communication protocol for named data networks, Master Thesis No. 24, 2019.
• Link, Marco: Automatische Ressourcenselektion in Datenanalysepipelines, Master Thesis No. 37, 2019.
• Liu, Huixin: Determining the center of rotation for computed tomography data using neural networks, Master Thesis No. 101, 2019.
• Mayer, Marcel: Entwicklung einer datenschutzfreundlichen Ausführungsumgebung für Smart-Home-Dienste, Master Thesis No. 7, 2019.
• Nataraj, Geethanjali: Integration of heterogeneous data in the data vault model, Master Thesis No. 8, 2019.
• Panday, Narottam: Disambiguation on Write, Master Thesis No. 18, 2019.
• Popp, Matthias: Comprehensive Support of the Lifecycle of Machine Learning Models in Model Management Systems, Master Thesis No. 87, 2019.
• Prakash, Rohit: Hierarchical inverse reinforcement learning from motion capture data, Master Thesis No. 110, 2019.
• Ramzy, Nour: Ontology-based Product Catalog Exploration, Master Thesis No. 70, 2019.
• Schnack, Stefan: Analysis of Parallel Processing Processes by Task Graph Reduction, Master Thesis No. 84, 2019.
• Schramm, Michael: Approximating distributed graph algorithms, Master Thesis No. 15, 2019.
• Schubert, Marc: Evaluation and Optimizations of Best Effort Streams in Time-Sensitive Networking, Master Thesis No. 115, 2019.
• Schweizer, Markus: Speichern und Visualisieren von Struktureller Provenance, Master Thesis No. 39, 2019.
• Shanbhag, Shweta Ramchandra: A Deep Learning Based 3D Super Resolution Method for 3D Volume Data in Computed Tomography, Master Thesis No. 102, 2019.
• Shivaram Punja, Trapthi: Deep Learning Based Cascaded Networks For Segmentation Of CT Volume With Metal Artifacts, Master Thesis No. 103, 2019.
• Tepic, Milan: Host-based Intrusion Detection to enhance Cybersecurity of Real-time Automotive Systems, Master Thesis No. 86, 2019.
• Tiedtke, Marvin: Blockchained Spreadsheets, Master Thesis No. 85, 2019.
• Tschechlov, Dennis: Analysis and Transfer of AutoML Concepts for Clustering Algorithms, Master Thesis No. 83, 2019.
• Wagner, Matthias: Why-Not Provenance für geschachtelte Daten in Spark, Master Thesis No. 38, 2019.
• Weinstein, Steffen Heiko: Minderung von Photonen-Rauschen mittels neuronaler Netze in Röntgenbildern, Master Thesis No. 98, 2019.
• Weißer, Max: Design und Implementierung eines OPC-UA/TSN-Systems mit Echtzeit-Publish/Subscribe-Funktionalität, Master Thesis No. 117, 2019.
• Wohlfarth, Marvin: Ein Sicherheitskonzept für IoT-Plattformen, Master Thesis No. 88, 2019.
• Wu, Shao-Wen: Predicting user intent during teleoperation using neural networks, Master Thesis No. 112, 2019.
• Wunschik, Marc-Sven: The Influence of Load Shedding on the Stream Quality in CEP Applications, Master Thesis No. 82, 2019.

• Akouta, Maria: Konzepte für eine sichere Zeitreihendatenbank, Bachelor Thesis No. 54, 2019.
• Armbruster, Benedikt: Ein Softwareframework zum Vergleich von Machine Learning Modellen, Bachelor Thesis No. 89, 2019.
• Biester, Fabian: Verteilte Erkennung von Komplexen Ereignissen in IoT-Umgebungen, Bachelor Thesis No. 86, 2019.
• Bihlmaier, Simon Tobias: Gaze based intent prediction for human robot collaboration using neural networks, Bachelor Thesis No. 136, 2019.
• Cesko, Tom: Implementierung einer Erweiterung zur Behandlung von Hochgeschwindigkeitsaufprall mit dem SiPER SPH-Code, Bachelor Thesis No. 17, 2019.
• Czychon, Emil: Erweiterung eines 3D-Visualisierungsprogramms für Voxel- und Oberflächendaten um Raytracing-basierte Visualisierung mit Shading-Unterstützung, Bachelor Thesis No. 128, 2019.
• Ferati, Fatos: Interaktive Sampling-Verfahren im Kontext von Data-Mashup-Werkzeugen, Bachelor Thesis No. 49, 2019.
• Fink, Daniel: Mehrgitterverfahren in gemischter Genauigkeit auf GPUs, Bachelor Thesis No. 114, 2019.
• Frész, Benjamin: Visualisierung von holonomen und nicht-holonomen Planungsproblemen, Bachelor Thesis No. 138, 2019.
• Georg, Daniel: Rekonstruktion einer hochauflösenden Region-of-Interest für Computertomographie-Daten, Bachelor Thesis No. 131, 2019.
• Imeri, Amil: Modellierung und Deployment von IoT-Umgebungen in MBP, Bachelor Thesis No. 36, 2019.
• Kindler, Robin: Implementierung der Digitalen Volumenkorrelation auf einem GPU-System, Bachelor Thesis No. 135, 2019.
• Klaus, Florian: Mixed-precision data mining for sparse grids, Bachelor Thesis No. 55, 2019.
• Kononov, Daniel: Erweiterung eines Voxel-Viewers zur Darstellung von Octree-Datensätzen, Bachelor Thesis No. 129, 2019.
• Kreuder, Sebastian: Zeitliche Adaptivität und Lastbalancierung für eine Simulation der Aktivierung von Muskelfasern, Bachelor Thesis No. 20, 2019.
• Kusterer, Jan: Extraktion anatomischer Strukturen und Darstellung durch NURBS, Bachelor Thesis No. 19, 2019.
• Laidig, Robin: Sinnvoller Einsatz von Smartphones zur Visualisierung von Intralogistikanlagen zu Wartungs- und Diagnosezwecken, Bachelor Thesis No. 130, 2019.
• Marques Nunes, Stefanie: Interaktive Bestimmung und Darstellung einer Oberfläche für verschiedene Schwellwerte mittels Marching Cubes, Bachelor Thesis No. 127, 2019.
• Maser, Mario: Entwurf und Entwicklung eines Host-Frameworks für zeitgesteuerte Übertragungen von Netzwerkpaketen mit Hardwareunterstützung, Bachelor Thesis No. 2, 2019.
• Niederhausen, Tim: Untersuchung der Auswirkungen von Autoencodern auf Datenanalyseprozesse, Bachelor Thesis No. 101, 2019.
• Nieß, Adriaan: Simulation of control systems in IEEE 802.1Qbv networks using OMNeT++, Bachelor Thesis No. 13, 2019.
• Pham, Quoc Tuan: FlexMash4IoT- Extension of the tool FlexMash to enable processing of continuous data streams, Bachelor Thesis No. 106, 2019.
• Reichel, Maximilian: Automatisierte Integration von IoT-Geräten in IoT-Umgebungen, Bachelor Thesis No. 104, 2019.
• Renz, Tobias: Auswirkungen von Textcharakteristika auf die Qualität von Clustern, Bachelor Thesis No. 23, 2019.
• Roggenbuck, Kay: Feature-getriebene Darstellung von Clustering-Resultaten, Bachelor Thesis No. 35, 2019.
• Schalke, Tilman: Geometrische Analyse von 3D-Datensätzen anhand von Oberflächenextraktion, Bachelor Thesis No. 133, 2019.
• Schamberger, Carlo: Entwurf und Implementierung von Smart-Contracts für die Sensordatenerfassung, Bachelor Thesis No. 105, 2019.
• Schnick, Christopher: Vergleich von Dimensionsreduktionsmethoden für Surrogate auf Dünnen Gittern, Bachelor Thesis No. 100, 2019.
• Stach, Marius: Simulation von hängenden Textilien für eine automatische Bilderkennung, Bachelor Thesis No. 102, 2019.
• Stegmaier, Christian: Scheduling for Pub/Sub Systems with Real-time Constraints over Time-Sensitive Networks, Bachelor Thesis No. 34, 2019.
• Sureshkumar, Sujanthan: Visuelle Exploration von Entscheidungsunterstützungssystemen, Bachelor Thesis No. 98, 2019.
• Ulusal, Seda: MBP2Go+: Erweiterung einer mobilen Applikation zur Überwachung und Steuerung von IoT-Umgebungen, Bachelor Thesis No. 6, 2019.
• Völker, Alexander: Auswirkungen der Eingabeparameter auf die Laufzeit und die Genauigkeit der CT Rekonstruktion, Bachelor Thesis No. 132, 2019.
• Vössner, Michael: Dynamische GPU-CPU Lastbalancierung, Bachelor Thesis No. 18, 2019.
• Voggesberger, Julius: Evaluation von Zwischenergebnissen in Entscheidungsbäumen, Bachelor Thesis No. 37, 2019.
• Widmayer, Moritz: Dynamic mode decomposition for the monodomain equation in neuromuscular system, Bachelor Thesis No. 14, 2019.
• Wimpff, Jochen: Erklären und Visualisieren von NLP-Lösungen, Bachelor Thesis No. 137, 2019.
• Wundrack, Philipp: Verteilte Dünngitter-Regression mit SG++ und HPX, Bachelor Thesis No. 50, 2019.
• Yüksel, Tolunay: Optimierung und Erweiterung einer Applikation zur automatisierten Erfassung eines elektronischen Fahrtenbuches, Bachelor Thesis No. 7, 2019.

• Ashauer, L.; Breitenbücher, U.; Franco da Silva, A. C.; Gemein, O. G.; Günther, T.; Hahn, M.; Képes, K.; Kleinod, E.; Kopp, O.; Leymann, F.; Liebing, A.; Mitschang, B.; Niehues, P.; Olschewski, D.; Semmler, K.; Steinke, R.; van Well, J.; Virtel, M.: Sichere internetbasierte Vermarktung cyber-physischer Systeme mit SmartOrchestra. In: Sichere Plattformarchitekturen - Rechtliche Herausforderungen und technische Lösungsansätze, Begleitforschung Smart Service Welt - Internetbasierte Dienste für die Wirtschaft, 2019.