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Projects

Selected research and engineering projects spanning energy systems control and adaptive biomedical sensing. Each case study links methodology, evidence, and outcomes.

The projects below trace a methodological thread: from model predictive control for microgrid frequency regulation, through data-driven system identification with Bayesian uncertainty quantification, to adaptive sensing and closed-loop discovery for biomedical applications. Earlier energy-systems work is presented as transferable evidence; current biomedical projects are ongoing.

See the Research page for the program overview, the Methods page for the four methodological pillars, and the Publications page for the complete publication record.

Adaptive Radar-Based Physiological Sensing

Ongoing
Period: 2026–presentInstitutions: Hangzhou Institute of Technology, Xidian University
Uncertainty-aware InferenceAdaptive Decision-makingMechanistic Machine Learning
Biomedical Sensing

Sequential radar measurement selection to maximise information about physiological signals under real-time and physics constraints.

Closed-Loop Discovery for Synergistic Antibacterial Combinations

Ongoing
Period: 2026–presentInstitutions: Hangzhou Institute of Technology, Xidian University
Adaptive Decision-makingUncertainty-aware InferenceClosed-loop Experimentation
Closed-loop Discovery

Uncertainty-aware active experiment selection for antibacterial combination discovery, with expert review gating for safety.

Quad-Rotors and Control Experiments Lab

Historical
Period: 2023–2024Institutions: ETH Zurich
Closed-loop ExperimentationModel Predictive ControlSystem Identification
Energy and Cyber-Physical Systems

Lecturer and laboratory lead for the undergraduate quad-rotor control course at ETH Zurich, combining control theory with hands-on experimental validation.

Grey-Box Modeling of Building Thermal Dynamics

Published
Period: 2019–2020Institutions: DTU Compute
Uncertainty-aware InferenceSystem IdentificationMechanistic Machine Learning
Energy and Cyber-Physical Systems

Maximum-likelihood identification of grey-box models for radiator-water and building heat dynamics from school measurement data.

SINDYc and MCMC for Prosumer Response Estimation

Published
Period: 2018–2020Institutions: DTU Compute
Uncertainty-aware InferenceMechanistic Machine LearningSystem Identification
Energy and Cyber-Physical Systems

A synthetic study combining sparse identification of prosumer response dynamics with MCMC parameter inference.

Three-Level Hierarchical Microgrid Control

Published
Period: 2018–2020Institutions: DTU Compute, University of Zagreb
Closed-loop ExperimentationHierarchical ControlLaboratory Experimentation
Energy and Cyber-Physical Systems

Three-level scheduling, frequency-control, and local-control architecture demonstrated on a grid-connected laboratory microgrid.

Target-Adjusted MPC for Microgrid Frequency Control

Published
Period: 2016–2020Institutions: DTU Compute
Model Predictive ControlDisturbance EstimationConstrained Optimization
Energy and Cyber-Physical Systems

Model Predictive Control with disturbance-based equilibrium target adjustment for microgrid frequency regulation.

Modular Energy Hub Modeling Framework

Historical
Period: 2016–2016Institutions: Empa
Stochastic OptimizationModel Predictive Control
Energy and Cyber-Physical Systems

Open-source optimization framework for modular energy hub modeling, developed during Google Summer of Code 2016 at Empa.

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