Estimation and control under uncertainty with application to power systems

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Estimation and control under uncertainty with application to power systems

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A Stochastic Approach to Contact-rich Manipulation

PolyCLEAN: Atomic optimization for super-resolution imaging and uncertainty estimation in radio interferometry

A positivity robust strategy to study effects of switching treatment

Simulation-based Microstructure Imaging: Towards Realistic White Matter Modeling using Monte Carlo Methods in DW-MRI

Multimodal Prediction Framework for Total Shoulder Arthroplasty Outcomes: Integrating Morphological, Musculoskeletal, Finite Element, and Bayesian Causal Models

Lower Bounds on the Bayesian Risk via Information Measures

An Information-Theoretic Framework for Multiplex Graphs

How Stress Barriers and Fracture Toughness Heterogeneities Arrest Buoyant Hydraulic Fractures

Enhanced feedback performance in off-resonance AFM modes through pulse train sampling

Minimal regret state estimation of time-varying systems

OASIS: Optimisation-based Activity Scheduling with Integrated Simultaneous choice dimensions

Distributed Shadow Dynamic Consensus Optimization Framework for Power Market with Parameterization Bidding Strategy of GENCOs

Methods for Grid-aware Operation and Planning of Active Distribution Networks

Impact of Communication Delays on Voltage Control Accuracy and Stability of a PV Park