Alisa Rupenyan

Zurich University of Applied Sciences (ZHAW)

Switzerland

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Articles (21)

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2026

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2025

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2020

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2020

Collaborators (5)

Mohammad Khosravi

Assistant Professor

Delft University of Technology

NETHERLANDS

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Michael Robert Tucker

Senior Scientist and Lecturer

ETH Zürich

SWITZERLAND

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Roy Smith

Professor

ETH Zurich (Swiss Federal Institute of Technology)

SWITZERLAND

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Andreas Krause

Full Professor

ETH Zürich

SWITZERLAND

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Mohammad H. Mamduhi

KTH Royal Institute of Technology

SWEDEN

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Alisa Rupenyan

Research Interests

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Articles (21)

Autogeneration and optimization of pick-and-place trajectories in robotic systems: A data-driven approach

Adaptive Bayesian Optimization for High-Precision Motion Systems

In-situ controller autotuning by Bayesian optimization for closed-loop feedback control of laser powder bed fusion process

Efficient safe learning for controller tuning with experimental validation

Layer-to-Layer Melt Pool Control in Laser Powder Bed Fusion

Force controlled printing for material extrusion additive manufacturing

Data-driven reference trajectory optimization for precision motion systems

Safety-Aware Cascade Controller Tuning Using Constrained Bayesian Optimization

Safe Risk-Averse Bayesian Optimization for Controller Tuning

Stress flow guided non-planar print trajectory optimization for additive manufacturing of anisotropic polymers

Layer-to-layer closed-loop feedback control application for inter-layer temperature stabilization in laser powder bed fusion

Safe Risk-Averse Bayesian Optimization for Controller Tuning

Correction to: Spraying Parameters Selection Based on Predicted Equipment Status: A Study on Measured Voltage (Journal of Thermal Spray Technology, (2023), 32, 2-3, (523-531), 10.1007/s11666-022-01489-8)

Information-Operation Technology Integration in Industrial Cyberphysical Systems

Performance-Driven Cascade Controller Tuning With Bayesian Optimization

Advanced Manufacturing Configuration by Sample-Efficient Batch Bayesian Optimization

Autonomous and data-efficient optimization of turning processes using expert knowledge and transfer learning

On Robustness in Optimization-Based Constrained Iterative Learning Control

Performance-Driven Cascade Controller Tuning with Bayesian Optimization

Machine Tool Component Health Identification with Unsupervised Learning

Self-optimizing grinding machines using Gaussian process models and constrained Bayesian optimization

Collaborators (5)

Mohammad Khosravi

Michael Robert Tucker

Roy Smith

Andreas Krause

Mohammad H. Mamduhi

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