Our group brings together researchers working across trustworthy AI, representation learning, human preference, and agentic intelligence. Each entry pairs the researcher with the topic they are pursuing—or pursued—at DAMLR.
PhD students
03
Task-driven Model Control for Large Language Models
AI Systems for Mental Health
Cross-domain Image Generation for Spacecraft Pose Detection
Master’s students
04
Image Data Synthesis via Unreal Engine and Diffusion
Multi-agent Conversational Assistant for Filling Out Human-defined Questionnaires
Memory-powered Agentic Recommender Systems
Proactive Knowledge Assistance in Live Conversations
Former members
18Human-designed Questionnaire-following Agentic AI
Minimally Invasive Machine Unlearning via Neuron Masking
Autoregressive Context Retriever for Utility-driven RAG
Machine Learning Model Explanation and Editing
Web-scale Retrieval-augmented Generation via Task-driven Embedding Compression
Temporal Knowledge Graphs
Preference Editing for Generative Recommender Systems
Self-supervised Representation Learning via Self-evolvable Random Projectors with Layer 6 AI
RAG Platforms for Industrial Applications with OQULi Inc.
Fast Inference on Diffusive Generative Models
Physics-informed Neural Networks for Cloud-size Prediction
Large-scale AI/ML Platforms for Industrial Applications with Farpoint Technologies Inc.
Machine Unlearning and Editing for Recommender Systems
Data Interpolation for Individual Emotion-shifting Modelling with UpBeing Inc.
Physical Dynamic Modelling with Machine Learning for Climate AI
Public Knowledge Extraction with Self-reflected Prompting for Personalized Recommendation
Self-supervised Representation Learning for AI-driven Healthcare Systems
Fairness of Recommender Systems: A Survey