Jaap Eising

Hi! I'm an assistant professor at the University of Groningen (RUG), broadly interested in the links between systems and control theory, optimization, machine learning, and their applications. Before moving to Groningen, I was a senior scientist a the automatic control laboratory (IfA) at ETH Zürich and a postdoctoral researcher in Jorge Cortes' group at UC San Diego. I obtained my Ph.D. at the University of Groningen in 2021.

At the moment I'm mainly focused on data-driven control, algorithm design, and machine learning architectures in closed loop controller design.

I'm happy to receive any questions, ideas and other messages at j.eising [at] rug [dot] nl. Feel free to contact me if you want to collaborate or exchange ideas.

Papers

My work can most easily be found on both Google Scholar and Arxiv.

Supervision

MA/BA Students

  • Taiki Nakano, Dissipativity-based data-driven decentralized control of interconnected systems, Master thesis, 2023, with Andrea Martinelli and Achmed Aboudonia, led to a paper.
  • Mathieu Decker, Controller Switching in Data-Driven Control, Semester project, 2023, with Mattia Bianchi.
  • Nicholas Niederer, A Data Driven Control Approach for Recommender System Design, Bachelor project, 2024, with Giulia de Pasquale
  • Nichola Taddei and Riccardo Maggione, Distributed time-varying Gaussian process regression via Kalman filtering, ATIC project, 2025, with Giulia de Pasquale, led to a paper.
  • Joshua Näf, Choose Wisely: Data-driven Predictive Control for Nonlinear Systems Using Online Data Selection, Master project, 2024, with Keith Moffat, led to a paper.
  • Felix Laurent, Adaptive Control of Unknown Linear Switched Systems via Policy Gradient Methods, Master project, 2024, with Feiran Zhao, led to a paper .
  • Aron Karakai, Convergence Analysis of Distributed Optimization: A Dissipativity Framework, Semester project, 2025, with Andrea Martinelli, led to a paper.
  • Riccardo Ghetti, On Recurrent equilibrium networks, Semester project, 2025, with Stefania Ionescu, 2025
  • Lars Wieringa, Formalizing contraction and Lyapunov theory for affine behavioral systems, Semester project, 2025.
  • Marius Baumann, More Data Is Not Always Better: Conditioning-Aware Selection in DeePC, Semester project, 2025.
  • Fonteh Kiehkechemambom Bonaventure, Identification and Control of Linear Systems with Structural Constraints, Master project, 2025, with Andras Sasfi.