Efe C. Balta

Dr.

Efe C. Balta

Inspire AG

NCCR Automation helps us solve the next generation of interdisciplinary problems in industrial automation by bringing together experts from various fields of theory and application.

Efe C. Balta received the B.S. degree in manufacturing engineering from the Faculty of Mechanical Engineering, Istanbul Technical University, in 2016, and the M.S. and Ph.D.degrees in mechanical engineering from the University of Michigan, Ann Arbor, MI, USA, in 2018 and 2021, respectively. He was a Post-Doctoral Researcher with the Automatic Control Laboratory (IfA), ETH Zürich between 2021 and 2023. Since September 2023, he has been leading the Control and Automation group at inspire AG. His research interests include control theory, optimization, robotics, cyber-physical systems, and additive manufacturing.

Scientific Publications

Published

Online Linear Quadratic Tracking with Regret Guarantees

IEEE Control Systems Letters

Pages 6

Aren Karapetyan, Diego Bolliger, Anastasios Tsiamis, Efe C. Balta, John Lygeros

2023

Doi.org

Published

Sequential Quadratic Programming-based Iterative Learning Control for Nonlinear Systems

ArXiv

Samuel Balula, Efe C. Balta, Dominic Liao-McPherson, Alisa Rupenyan, John Lygeros

2023

Collection

Published

On the Finite-Time Behavior of Suboptimal Linear Model Predictive Control

ArXiv

Aren Karapetyan, Efe C. Balta, Andrea Iannelli, John Lygeros

2023

Collection

Published

Stochastic Wasserstein Gradient Flows using Streaming Data with an Application in Predictive Maintenance

ArXiv

Efe C. Balta, Dominic Liao-McPherson, Florian Dörfler

2023

Collection

Published

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

Additive Manufacturing

Xavier Guidetti, Efe C. Balta, Yannick Nagel, Hang Yin, Alisa Rupenyan, John Lygeros

2023

Collection

Published

Regret Analysis of Online Gradient Descent-based Iterative Learning Control with Model Mismatch

Proceedings of the 2022 IEEE 61st Conference on Decision and Control (CDC)

Efe C. Balta, Andrea Iannelli, Roy Smith, John Lygeros

2023

Collection

Published

Efficient sample selection for safe learning

ArXiv

Marta Zagorowska, Efe C. Balta, Varsha N. Behrunani, Alisa Rupenyan, John Lygeros

2022

Collection

Published

Implications of Regret on Stability of Linear Dynamical Systems

IFAC World Congress 2023

Aren Karapetyan, Anastasios Tsiamis, Efe C. Balta, Andrea Iannelli, John Lygeros

2022

Doi.org Collection

Published

Information-Operation Technology Integration in Industrial Cyberphysical Systems

Computer

Vol 55 No 11 Pages 115-118

Mohammad H. Mamduhi, Efe C. Balta, Alisa Rupenyan, John Lygeros

2022

Collection

Published

Data-Driven Process Optimization of Fused Filament Fabrication based on In Situ Measurements

ArXiv

Xavier Guidetti, Marino Kühne, Yannick Nagel, Efe C. Balta, Alisa Rupenyan, John Lygeros

2022

Collection

Published

Controller-Aware Dynamic Network Management for Industry 4.0

IECON 2022 – 48th Annual Conference of the IEEE Industrial Electronics Society

Efe C. Balta, Mohammad H. Mamduhi, John Lygeros, Alisa Rupenyan

2022

Collection

Published

In-layer Thermal Control of a Multi-layer Selective Laser Melting Process

2022 European Control Conference (ECC)

Pages 1678 - 1683

Dominic Liao-McPherson, Efe C. Balta, Ryan Wüest, Alisa Rupenyan, John Lygeros

2022

Doi.org Collection

Published

On Robustness in Optimization-Based Constrained Iterative Learning Control

IEEE Control Systems Letters

Vol 6 Pages 2846-2851

Dominic Liao-McPherson, Efe C. Balta, Alisa Rupenyan, John Lygeros

2022

Doi.org Collection

Published

Learning-Based Repetitive Precision Motion Control with Mismatch Compensation

60th IEEE Conference on Decision and Control (CDC 2021)

Pages 3605-3610

Efe C. Balta, Kira Barton, Dawn Tilbury, Alisa Rupenyan, John Lygeros

2022

Doi.org Collection

to Appear

Batch Model Predictive Control for Selective Laser Melting

2022 European Control Conference (ECC)

Efe C. Balta, Alisa Rupenyan, John Lygeros

2021

Doi.org Collection

News & Insights

08-07-2024

Let’s work together: How industry and academia can join up to drive sustainability

KTT

Outreach

sustainable automation

Automation enablers

To scale up innovation, we need to bring research closer to real-world industrial needs. A new book by NCCR Automation researchers looks into how that can be achieved, and where the most exciting progress is right now.

Read more about Let’s work together: How industry and academia can join up to drive sustainability