Aktuelle Ausschreibungen am Fachgebiet
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Bewerbung:
Wichtig: Wenn Sie daran interessiert sind, eine Abschlussarbeit zu schreiben, senden Sie bitte eine E-Mail-Bewerbung an die entsprechenden Betreuer*innen, die die folgenden Informationen enthält:
· Einen kurzen Lebenslauf
· Einen aktuellen Leistungsnachweis (kann in TUCaN heruntergeladen werden)
· Eine kurze Beschreibung des von Ihnen vorgeschlagenen Themas einschließlich einer Forschungsfrage
· Den Zeitraum, in dem Sie die Arbeit anfertigen möchten
14 Einträge gefunden. Alle Arbeiten anzeigen.
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Urban Mobility Services and Autonomous Vehicles
Wie schaffen autonome Fahrzeuge die Grundlage für urbane Mobilitätsdienste?
Betreuer/in: Christian Olt, M.Sc.
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Künstliche Intelligenz als Globales Gut: Guideline für die nachhaltige KI-Entwicklung in Entwicklungs- und Schwellenländern
Betreuer/in: Luisa Pumplun , M.Sc.
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Design eines interaktiven GUI-Mockups zur Unterstützung der Notrufabfrage in Leitstellen
Betreuer/in: Dr.-Ing. Melanie Reuter-Oppermann
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Requirement specification for Deep-Learning pipeline deployment on edge
Masterthesis FB20 or FB01
Masterarbeit, Masterarbeit (15 CP), Masterarbeit (30 CP)
For this thesis, you continue an existing project where we have tested TorchServe. However, TorchServe does not meet ourrequirements for performant, hardware optimized multi model serving and sequential pipelines. Our next look is towardsNvidia Triton, as it is native to Nvidia Jetson (our deployment hardware) since August 2021. Our software solutions can besequential multi model pipelines but also with parallel parts.As an example use case we have implemented a visual inspection solution using deep learning frameworks (PyTorch) andPython and all its corresponding software/code (Exported model, python code for handling). We would like to test specificdeep learning models that we have implemented on dummy data with many possible setup changes. Many different testingsetups and the influence of each setup change on performance results needs to be evaluated.
Specifics of the external work
We are looking for an interested person to thoroughly evaluate and compare deployment options on specialized hardwarelike Nvidia Jetson, providing performance examples on some of our given solutions.During the work, you will be employed by Heraeus for the duration of this work. You will have access to infrastructure anddata and work with experts from the areas of production, data science and digitalization as well as with various executivesand stakeholders. If you apply for this job, we ask you to provide us with a short motivation letter, your CV and your currentreference.
Requirements
Knowledge in Python, Numpy, OpenCV, Docker, and Linux/Ubuntu. Ideal: Basic deep learning knowledge like pytorch,ONNX, GPU-hardware. weiter
Betreuer/in: Timo Koppe , M.Sc.
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From Model-centric to Data-centric AI in Industry: Understanding the Production Processes using the Example of Quartz Glass Production
Masterthesis for FB01 or FB20
Masterarbeit, Masterarbeit (30 CP)
With the increasing spread of digital technologies such as big data and cloud infrastructures for data analytics, more and more companies can integrate intelligent data processing into their development, manufacturing, or production processes. In this way, many companies hope to renew or improve their products and services, as well as their internal and external processes. The prerequisite for data analytics is first sensors, for example on products and production machines, which communicate by means of a new, networked infrastructure to collect data about previous processes and to be able to understand them better. Hereby, the quality of the data plays an important role in keeping model complexity low and enabling learning from the process.
Approach
The aim of this thesis is to better understand the current manufacturing process and to control it in the future in an industrial use case „Measurement of a quartz glass hollow cylinder“. This work is implemented in collaboration with Heraeus, a leading global technology company headquartered in Hanau, Germany. The following steps will be performed in this work:
1) Connecting sensors and signals to a data acquisition system (DAQ, from National Instruments) at the production site and programming the DAQ in LabView.
2) Analysis of the data (e.g., machine vision, multivariate methods for regression, etc.) and evaluation of different models for controlling and improving the production process.
3) Evaluation of the Trade-Off Model-centric to Data-centric AI in Industry.
Specifics of the external work
You will be employed by Heraeus for the duration of this work. The implementation will take place on site in production as well as at the Heraeus Digital Hubs (digitization specialist unit of Heraeus). During your work you will have access to infrastructure and data and work with experts from the areas of production, data science and digitalization as well as with various executives and stakeholders. If you apply for this job, we ask you to provide us with a short motivation letter, your CV and your current reference.
Requirements
Knowledge in the field of sensor technology, data processing, programming, and data analytics. weiter
Betreuer/in: Timo Koppe , M.Sc.
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Informationspreisgabe, Privatsphäre und das Internet
Bachelorarbeit, Masterarbeit, Studienarbeit
Betreuer/innen: Anne Zöll, Dr. Amina Wagner
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Call for Theses - Artificial Intelligence in Organizations and Society
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Call for Theses - E-Mobility Services and Optimisation
Betreuer/in: Dr.-Ing. Melanie Reuter-Oppermann
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Call for Theses - Autonomous Vehicles
Betreuer/in: Mariska Fecho, M.Sc.
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Call for Theses - Healthcare
Betreuer/in: Dr.-Ing. Melanie Reuter-Oppermann
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Vereinbarkeit von datengetriebenen Geschäftsmodellen und Privatsphäre
Bachelorarbeit, Masterarbeit, Studienarbeit
Betreuer/in: Anne Zöll
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Privacy: Preisgabe von gemeinsamen Informationen
Betreuer/innen: Dr. Amina Wagner, Anne Zöll
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Abschlussarbeiten im Bereich IT-Management
In Kooperation mit Campana & Schott
Bachelorarbeit, Masterarbeit (15 CP)
Betreuer/in: Luisa Pumplun , M.Sc.
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Kombination von Semantic Web- und Industrie 4.0-Standards bei der Entwicklung regelbasierter Tools zur Produktkonfiguration
Betreuer/in: Prof. Dr. Peter Buxmann