Fabian Schmidt
Doktorand
Forskare
Om mig
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.
We currently offer the possibility to conduct Master theses in our group. I offer the possibility to supervise the following topics:
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A Scalable Architecture for Deploying Machine Learning Models in Internet-Based Cognitive Behavioral Therapy.
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Enhancing Patient and Clinician Representations in iCBT: Multimodal Approaches and Advanced Techniques
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Enhancing iCBT with Knowledge Graphs.
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Implementing RAG for iCBT Applications.
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Implementing Guardrails for Patient/Clinician Feedback in Generative AI.
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Enhancing iCBT with Reinforcement Learning from Human Feedback (RLHF): Improving Model Performance on Downstream Tasks.
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Enhancing iCBT with Automatic Annotation and Data Augmentation Using Self-Supervised Learning.
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Machine Learning-Based Risk Monitoring in iCBT: Modeling Dropout Risk, Symptom Deterioration, and Other Critical Factors.
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Enhancing iCBT through Audio and Video Analysis: Uncovering Non-Verbal Cues and Behavioral Patterns
Don't hesitate to contact me if you are interested: .
Kurser
Data mining (FID3016), assistent | Kurswebb
Datautvinning (ID2222), assistent | Kurswebb
Skalbar maskininlärning och djupinlärning (ID2223), assistent | Kurswebb