HAI: Human-Aware Planning and Behavior Prediction
HAI: Brain-Sensing and Analysis
ML: Classification & Regression
ML: Clustering
KRR: Knowledge Representation and Reasoning
SNLP: Ethics — Bias, Fairness, Transparency & Privacy
CMS: Affective Computing
ML: Bio-inspired Learning
ML: Probabilistic Methods
This groups tackles challenges in safety, infrastructure, and sustainability. From emergency detection in households to clean water prediction, electric grid optimization, and real-time health monitoring, they combine innovative computational methods with practical applications. Together, they aim to deliver impactful solutions for pressing societal and environmental needs.
ML: Deep Generative Models & Autoencoders
This group focuses on designing AI systems that learn to generate and reconstruct data, uncovering complex patterns and structures. These models are vital for advancements in data compression, anomaly detection, and creative AI applications, driving innovation in fields like image synthesis, language generation, and scientific simulations.