💯 Future Topics

Do you want to write your thesis with me? Write me!

💯 Past supervision

• Extending Isolation Forest to support non-numerical data .
  Sina Barghidarian (first Job @ Continentale)
  
• Interpreting Anomaly Detection: Optimized Preprocessing for Ensemble Methods .
  Hsin Ping Tang (first Job @ Check24)
  
• Entwicklung eines Algorithmus für die Wiedererkennung von Palettenklötzen basierend auf maschinellem Lernen .
  Britta Grimme (first Job @ Uni Paderborn)
  
• Improving Autoencoder Ensemble Learning for Unsupervised Anomaly Detection .
  Nikitha Rao (first Job @ Mercedes Benz)
  
• Using large language models for anomaly detection on text datasets .
  Anton Häusler (doing his masters)
  
• Evaluating Sequential Autoencoder Ensemble for Anomaly Detection .
  Phuong Huong Nguyen (doing her masters)
  
• Enhancing Anomaly Detection with Deep Autoencoder Network using a Custom Semi-Supervised Loss .
  Hepsiba Komati (first Job @ Mercedes Benz)
  
• Understanding and Mitigating Training Challenges for Generative Adverserial Networks (GANs) (Thesis unavailable) .
  Logien Mekki
  
• Ensemble methods for outlier node detection on attributed static graphs .
  Anh Nguyen (first Job @ Scalable Capital)
  
• Stacking Ensemble Methodds for Anomaly Detection .
  Haritha Thiyaagu
  
• DEAN-TS: Deep Ensemble Anomaly Detection for Time Series .
  Tim Katzke (first Job @ TU Dortmund University)
  
• Improving Re-identification using specialized Outlier Detection algorithms (Thesis unavailable) .
  Sharath Sadari
  
• Anomaly Detection using an Ensemble with Simple Sub-models .
  Vanlal Peka (founded a start-up)
  
• Surveying the effects of Lipschitz continuity on the Robustness of Anomaly Detection Algorithms .
  Justin Wickes
  
• Understanding the Impact of Automated Hyperparameter Tuning on Anomaly Detection Methods .
  Jessia Erappakkal Joby
  
• Enhancing Anomaly Detection through Test-Time Training .
  Minjae Ok
  
• Anomaly Detection Model Selection Using Super-AUC Scores .
  Gautam Dilip Hariharan
  
• Neural scaling laws: the impact of large language model ensembles on their loss function .
  Arthur Allebrandt Werlang
  
• Evaluating Anomaly Detection Algorithms by Generating Samples from Anomaly Scores .
  Ben Ernst
  
• Test-time training for anomaly detection in Time Series .
  Vikas Kumar
  
• Context Matters: Contextual Anomaly Detection in Cash Withdrawal Resource Distribution .
  Nidhi Kiritbhai Patel
  
• Enhancing facial attribute representation in autoencoder latent space using factor rotation techniques .
  Arindam Pal
  
• Estimating the Contaminationrate in unsupervised Anomaly Detection .
  Finn Meinschien
  
• From Data to Equations: Evolutionary Mathematical Function Learning for Interpretable Outlier Detection
  MD Maruf Hossain
  
• Performance Evaluation and Comparative Study of Variational Autoencoder Variants for Anomaly Detection
  Apeksha Poudel
  
• Fairness enhancement methods in Anomaly Detection for DEAN
  Marcelo Benning
  
• Anomaly Detection with Pre-trained CNN Features: A Comparative Study of Classical Methods
  Sadia Mahjabin
  

💯 My own theses

• Dissertation
  Abstract Ensembles for Anomaly Detection and Beyond
  Defense Presentation
  preliminary Versions (v1)(v2)(v3)
  
• Masters thesis
  Deep learning for new physics mining at the LHC
  
• Bachelors thesis
  Entwicklung eines Deep Learning Verfahrens zur Ladungsrekonstruktion mit dem Ubergangsstahlungsdetektor des AMS-Experiments