Skip to main content
Back to KTH start page

Fabian Schmidt

Profile picture of Fabian Schmidt

Doctoral student

Details

Address
KISTAGÅNGEN 16

Researcher

Researcher ID

About me

I am a PhD student working on the ALEC2 project. My supervisors are Professor Vladimir Vlassov and Associate Professor Amir Hossein Payberah. I am affiliated with Wallenberg AI, Autonomous Systems and Software Program (WASP).

My research interests include NLP/NLU and ML, particularly in health. I develop a system comprising several ML models in psychology to improve treatment delivery and success.

ALEC2_architecture

We currently offer the possibility to conduct Master theses in our group. I offer the possibility to supervise the following topics:

  1. A Scalable Architecture for Deploying Machine Learning Models in Internet-Based Cognitive Behavioral Therapy.

  2. Enhancing Patient and Clinician Representations in iCBT: Multimodal Approaches and Advanced Techniques

  3. Enhancing iCBT with Knowledge Graphs.

  4. Implementing RAG for iCBT Applications.

  5. Implementing Guardrails for Patient/Clinician Feedback in Generative AI.

  6. Enhancing iCBT with Reinforcement Learning from Human Feedback (RLHF): Improving Model Performance on Downstream Tasks.

  7. Enhancing iCBT with Automatic Annotation and Data Augmentation Using Self-Supervised Learning.

  8. Machine Learning-Based Risk Monitoring in iCBT: Modeling Dropout Risk, Symptom Deterioration, and Other Critical Factors.

  9. Enhancing iCBT through Audio and Video Analysis: Uncovering Non-Verbal Cues and Behavioral Patterns

Don't hesitate to contact me if you are interested: .


Courses

Data Mining (ID2222), assistant | Course web

Data Mining (FID3016), assistant | Course web

Scalable Machine Learning and Deep Learning (ID2223), assistant | Course web