Annahme von Abschlussarbeiten

Als Bachelorarbeiten vergeben wir Themen zu Algorithmen und Datenstrukturen und auch dort zur Zeit nur unter der Voraussetzung, dass eine weiterführende Veranstaltung bei uns besucht wurde (AlgoDat Seminar oder AlgoDat Praktikum). Anders können wir die große Nachfrage zur Zeit leider nicht bewältigen.
Abschlussarbeiten im Bereich Neurotechnologie vergeben wir allerdings erst im Master, nach Abschluss einer unserer LV zu diesem Themenfeld.


ErrP-Klassifikation mit Maschinellem Lernen: Stand der Technik und neue RichtungenChristoph Petrausch (2023)
Varianten der Monte-Carlo Tree Search für das Brettspiel Gomoku unter Berücksichtigung der sudden win/death ProblematikKatherina Babenkova (2023)
Exact Approaches for Flood-It: A*, IDA*, a SAT- and ILP-Solver comparedPhilipp von Manteuffel (2023)
Solving Sokoban efficiently: Search Tree pruning techniques and other EnhancementsNiklas Sandhu Peters (2023)
Solving the Rubik’s Cube: How solving speed can be increased with Pattern DatabasesPete Schimkat (2023)
Comparing extended Minimax and Monte Carlo tree search for Hawaiian CheckersMohamed Shokry (2023)
Improving the Evaluation Function of the Alpha-Beta Search in the Game of GomokuJonas Baltruschat (2023)
A Superpixels-based Approach to Finding Shortest Paths in Camera ImagesTom Hersperger (2023)
Combining MST with Filtering or Superpixels - a Reduced Parameter Approach to Image SegmentationFlorian Klein (2023)
Comparitive performance analysis of shortest paths algorithms Bellman Ford and Dijkstra and some of their optimizationsAnna Maganakova (2023)
Vergleich von Optimierungen für den A*-Algorithmus zur Lösung des n-Puzzle: IDA*Ngoc Cuong Vu (2022)
Creation of an Anatomical Artefact Atlas based on HArtMuTMoritz Steffin (2022)
Implementierung und Evaluation eines effizienten Algorithmus für den optimalen Treffpunkt in gewichteten GraphenAlexander Linger (2022)
Heuristische vs. stochastische Suche - Alpha Beta Pruning und Monte Carlo Tree Search im Spiel der AmazonenGün Yanik (2022)
Concept design: Learning game strategy from player knowledge using machine learning and EEGPhiline Görzig (2020)
n-chip implementation of electrode impedance measurements and methods for simultaneous acquisition of EEG in a mobile deviceTill Friebe (2017)
Machine Learning for Impedance based Head ModelsMilena Bagdasarian (2016)
Untersuchung neuronaler Korrelate von mentalem Workload bei audio-visueller InterferenzLeah Vauth (2016)
Intercultural comparison of emotion recognition with EEG — A first attemptMoritz Schäfer (2016)
Richtungserkennung auditorischer Aufmerksamkeit im EEGMarcel Radke (2014)
Integration of a plotting framework into an existing toolbox for brain-computer interfacingHendrik Heller (2014)
Comparing and Combining Multiple EEG Features in Motor Imagery BCI - A Large Scale StudyFranziska Horn (2012)


Building robustness against non-stationarity in deep learning-based brain-computer interfacesJoel Tokple (2023)
Diagnosis of Schizophrenia from EEG with Deep Neural NetworksPéter Siket-Szász (2023)
Speech Listening Entails Neural Encoding of Invisible Articulatory FeaturesAlessandro Corsini (2023)
High-Performance data acquisition and data analysis of a test bench for a surgical instrumentMaher Sheikhi (2023)
A case study of the impact of prolonged exposure to the auditory-visual presentation protocol upon the neurophysiological mechanisms (from EEG and ECG data) underpinning mood enhancementTianhao He (2022)
Development and evaluation of methods for the detection of intracranial hemorrhages with functional Near-Infrared SpectroscopyAndré Blickensdörfer (2022)
Electrocerebral Signature of Cardiac DeathAdu Matory (2021)
Machine learning based detection of deliberately generated artifacts in ERP-BCI experimentsAngelo Groß (2021)
OM6 report: The influence of neck electrodes on EEG source localization with DIPFITMarc Welter (2021)
Riemannian Manifold Learning Beyond EEGGabriel Wagner vom Berg (2021)
Investigating the the Role of Readiness Potential With the Help of Real-Time NeurofeedbackVincent Jonany (2020)
Decoding Happiness from ECoG and Video Data Using Machine LearningEmil Azadian (2020)
Methods for long term reliability of a visual evoked potential-based Brain-Computer InterfaceRaphael Panskus (2020)
A classification based Methodology for the evaluation of Neural Probabalistic Language ModelsAlexander Moore (2019)
Deep Learning for Road Network ExtractionRahul Nagshi (2019)
Predicting Post-Operative Delirium: A Multivariate ApproachJannes Schäfer (2019)
Recurrent Neural Network for 3D Vessel SegmentationClara Tabea Strunk (2019)
Walk the Line: Analysis of Tandem Gait in Neurogenerative DiseasesHanna Röhling (2018)
Machine Learning Methods for Mental Workload Classification of Mobile, Low Channel EEG and NIRS dataFelix Bohlmann (2018)
Exploring complexity measures as EEG features for mental workload classificationJorge Dusan Haro Gutierrez (2018)
Assessment of Surrogate Data Methods for Connectivity Analysis in EEG SignalsHendrik Lüdemann (2017)
Bio-medical Signal Processing for Classification of Sleepwake stages in a Scope of Internet of ThingsMarat Timergaliev (2017)
Techniques to Deal with Variable Response Times in EEGMihail Bogojeski (2017)
Realistic and Template Head Models for EEG Source LocalizationPaul Pawletta (2017)
A comparative Study of two BCIs and the effect of additional cognitive workloadElisa Maria Klose (2017)
Disambiguation of Image Search Results using Eye tracking and EEG based implicit feedbackJan Eike Golenia (2017)
Exploring Neural Sources Associated with Memorization in TV CommercialsErik Mende (2017)
Explanatory Feedback for User Training in Brain-Computer InterfacesJulia Schumacher (2017)
Cooperating Brains: Joint Control of a Dual BCIRafael Schultze-Kraft (2017)
Refining EEG source Localization through Electrical Impedance MeasurementsDaniel Miklody (2014)
A comparative Study of the User Experience with Hybrid BCIsRomy Lorenz (2017)
EEG Predictors of Vigilant AttentionAdrien Martel (2017)