ScaDS.AI - Center for scalable data analytics and artificial intelligence

Manual and Automated Detection of Bias in Medical Data of ICUs
Masterarbeit / Dresden
Automated Question Generation from Wikipedia and Wikidata
Masterarbeit / Dresden
Latency and Cost Analysis of Prompt Compression for LLM’s
Masterarbeit / Dresden
Exploring Methods and Technologies in our Living Lab Environment
Bachelorarbeit / Leipzig
Predicting future elite athletes based on scouting data
Masterarbeit / Leipzig
Adaptive CFL-Number control using Machine Learning in Implicit RANS-CFD Solver for Turbomachinery CFD
Masterarbeit / Dresden
LLM Inference Acceleration Techniques: A Literature Review
Bachelorarbeit / Dresden
Exploring team-handball tactics and formations
Masterarbeit / Leipzig
Determinantal Point Processes for Prompt Engineering for LLMs
Masterarbeit / Dresden
Opening the Black Box of Machine Learning
Bachelor- und Masterarbeit / Dresden
Resource and energy consumption of transformers-based omics language models
Masterarbeit / Dresden
Visualisierung von regionenbasierten Hydrologiedaten (Leipzig/Dresden)
Masterarbeit / Leipzig
B.Sc./ M.Sc. Thesis: Untersuchung der Performanzentwicklung von Tomcat
Masterarbeit / Leipzig
B.Sc./ M.Sc. Thesis: Feststellung des stationären Zustands bei Performanzmessungen
Masterarbeit / Leipzig

If you don’t find a suitable topic in the list, feel free to send us a message with your research interests and initial ideas for your thesis. In this case, please use the general contact address for theses of ScaDS.AI Dresden/Leipzig. In case you need an inspiration for your topic, you might want to have a look at the different research topics at our center.

Our team is happy to answer your questions about writing a final thesis of our center. In case you would like to suggest a new topic, we will support you in finding a suitable supervisor.

Final Theses

study.scads.ai@tu-dresden.de

Final Theses

Manual and Automated Detection of Bias in Medical Data of ICUs

Automated Question Generation from Wikipedia and Wikidata

Latency and Cost Analysis of Prompt Compression for LLM’s

Exploring Methods and Technologies in our Living Lab Environment

Predicting future elite athletes based on scouting data

Adaptive CFL-Number control using Machine Learning in Implicit RANS-CFD Solver for Turbomachinery CFD

LLM Inference Acceleration Techniques: A Literature Review

Exploring team-handball tactics and formations

Determinantal Point Processes for Prompt Engineering for LLMs

Opening the Black Box of Machine Learning

Resource and energy consumption of transformers-based omics language models

Visualisierung von regionenbasierten Hydrologiedaten (Leipzig/Dresden)

B.Sc./ M.Sc. Thesis: Untersuchung der Performanzentwicklung von Tomcat

B.Sc./ M.Sc. Thesis: Feststellung des stationären Zustands bei Performanzmessungen

Traffic Simulacra: Generative Agents for Simulating Believable Mobility Behavior

Biomechanical User Models for Mobile Device Control based on Reinforcement Learning

Leveraging Large Language Models to Analyze the Public Discourse on Driving Automation Shortcomings in Social Platforms

Verbesserung der Erkennung interessanter Punkte in Standortverläufen durch Analyse der Semantik

Privatsphäreanalyse von NextBike-Fahrradleihdaten

Anomaly detection in geodata with AutoEncoders

Entwicklung einer Android App zur Messung und Visualisierung des Privatsphäre-Leaks durch Standortabfragen von Smartphone-Apps

Data augmentation of time series data

Investigating Training an Agent to Drive a Vehicle in a Simulated Environment Using Reinforcement Learning

Denoising Cryoseismological Distributed Acoustic Sensing Data Using a Convolutional Neural Network

Klassifikation von Bilddaten mithilfe von PDG-inspirierten neuronalen Netzen in der additiven Fertigung

Deep Learning and Explainable AI Approaches in Cancer Research: Models for Sequence Data

Temporal Graph Metrics

Master/Diploma thesis: Analysis of Java Methods for Performance Measurements

B.Sc./ M.Sc. Thesis: Massspectrometry data management and workflows

Hyperparameter optimisation of Deep Neural Networks for time-series forecasting

B.Sc./ M.Sc. Thesis: AI for Electronic Nose

Scalable and Accurate Decision-Tree Learning for Entity Resolution

TF-IDF for Entity Resolution in Huge Knowledge graphs

Interactive Exploration of Embedding Spaces

Subgraph-isomorphism in Graph Streams Pattern Matching

Continuous Query Notification for Evolving Graph Data

End-To-End Stream Graph Analytics

Implementation of an In-Memory data structure of the EPGM

Prototypische Implementierung eines Machine Learning Modells zur Vorhersage von Umsätzen in einem mittelständischen Unternehmen

Aufbereitung von Eventdaten im Kontext des Process Mining zur Verarbeitung durch Machine Learning Lösungen

Conception and prototypical implementation of an automatic feature extraction system for software product lines using graph-based reasoning

Learning Sentence Fusion from Multi-Document Summarization Corpora

Anwendung neuronaler Netze zur inhaltsbasierten Bildsuche bei historischen Bilddarstellungen auf Basis des DELF-Ansatzes (DEep Local Feature)

Modellierung der Wärmeströmung in der additiven Fertigung von Metallbauteilen

Vorhersage der Kontrastmittelanreicherung in 3D-Mamma MRT-Aufnahmen durch Einsatz von Deep Learning

Content-Adaptive Depth Aware Image Restoration

Temporal Ordering of Free-from Text Using Weighted Date Extraction

Detection of Repetitive Patterns in Time Series - Applied on Systems Monitoring Data

Netzwerkerkennung und -reaktion auf Bedrohungen für Smart-Home-Geräte mittels statistischer Klassifikationsverfahren

Pose Classification in an Omnidirectional Camera Setup using Transfer Learning and Open Source Models and Datasets

Comparing Anomaly-Based Network Intrusion Detection Approaches Under Practical Aspects

Entwicklung eines HIDS auf Basis des LID-DS unter Verwendung einer Self-Organizing Map

Privacy-Preserving Variational Autoencoder for Single-Cell Analysis

Abstract Argumentation in Artificial Intelligence - Modularization and its Consequences for Labeling-based Semantics

Defining Defense in Abstract Argumentation from Scratch – A Generalizing Approach

An Implementation of Recursive Semantics in Abstract Argumentation Frameworks

Über die durchschnittliche Anzahl vollständiger Extensionen in abstrakten Argumentationssystemen – Theorie und Implementierung

Choices and their Consequences - On Decompositions of Complete Extensions in Argumentation Frameworks

Benchmarking of federated learning tools for genetic data analysis

Model training of a simulated self-driving vehicle using an evolution-based neural network approach

Demonstrator für Zufallszahlen in Hard- und Software

Implementierung und Evaluation von parallelen Verfahren mit Flink zum Schutz personenbezogenener Daten beim Record Linkage

Storage patterns for data-local processing of georeferenced data in BigData systems

Entwicklung von Techniken zur Datenintegration und Datenqualitätsverbesserung für die Graph-Processing-Platform GraDoop

Verwaltung und Verarbeitung von Massenspektrometerdaten

Vergleich und Evaluation von RDF-on-Hadoop Lösungen

Performance Measurement Preparation with AspectJ

Parallelisation of a Hierarchical Volume Data Preprocessor

Eignung von Workflow-Management-Tools für BigData-Aufgabenstellungen

Parallel Metric Space für Privacy Preserving Record Linkage

Efficient storage and retrieval of temporal graph data

Integration of Graph-Analytics Operators within the KNIME-Analytics Platform

Duplicatedetection and Linking in Big Data Analytics Workflows

Linking and Duplicate Detection in Big Graphs - Similarity Measures

Server-Side Aggregation of Time-Series Data in Distributed NoSQL Databases

Vergleich und Evaluation von SQL-on-Hadoop Lösungen

Evaluation and Comparison of Big Data ETL Frameworks

Apache Beam and the price of unification

Erzeugung und Statistische Bewertung von Multigenomgraphen