John Bagterp Jørgensen - PhD Students

Section for Scientific Computing, DTU Compute, Technical University of Denmark

Current PhD Students

Main Advisor

  • Peter Emil Carstensen: Multi-scale modelling, simulation, control and optimization for sustainable SCP production, 2024-2027

  • Marcus Johan Schytt: Mathematical modelling, simulation, control and optimization for the electrification of industrial processes using renewable energy sources, 2023-2026

  • Nicola Cantisani: Model Predictive Control for the Electrification of Industrial Processes using Renewable Energy, 2022-2025

  • Laura Hjort Blicher: Quantitative systems pharmacology using human lipodomic data to enable model-informed drug development of novel cardiometabolic targets, 2022-2025

  • Anders Hilmar Damm Andersen: Digitalization, Simulation, Control and Optimization for Power-2-X, 2022-2025

  • Zhanhao Zhang: Model Predictive Control for Zero Emission Industrial Processes, 2021-2024


  • Tobias Overgaard: Data-driven Techniques in Full-scale Active Pharmaceutical Ingredient Manufacturing, 2023-2026

  • Joachim Weel Rosbo: Optimal Dynamic Operation of Power to Ammonia Processes, 2022-2025

  • Jens Håkon Visbech Christensen: New advanced simulation techniques for wave energy converters, 2022-2025

Previous PhD Students

Main Advisor

  • Sarah Ellinor Engell, Model-Based Algorithm for Regimen Identification in Treatment of T2D, 2020-2023

  • Morten Ryberg Wahlgreen: Economic Nonlinear Model Predictive Control for Integrated and Optimized Non-stationary Operation of Biotechnological Processes, 2020-2023

  • Marcus Krogh Nielsen: Economic Optimizing Control for a U-loop Reactor, 2019-2023

  • Asbjørn Thode Reenberg: Systematic Mathematical Modeling for Agile Development of Model Based Medical Control Systems, 2019-2023

  • Steen Hørsholt: Simulation and Optimization of Oil Reservoirs in the Danish North Sea, 2015-2019

  • Lasse Hjuler Christiansen: Optimal Control of PDE-Constrained Systems, 2015-2019

  • Morten Hagdrup: Model Predictive Control based on Stochastic Differential Equations, 2014-2018

  • Sazuan Nazrah Mohd. Azam: Model Predictive Control for the Four-tank System, 2013-2018

  • Tobias Kaspar Skovborg Ritschel: Nonlinear Model Predictive Control for Oil Reservoirs, 2015-2018

  • Sabrina Lyngbye Wendt: Modeling Pharmacokinetics and Pharmacodynamics of Glucagon for Simulation of the Glucoregulatory System in Patients with Type 1 Diabetes, 2014-2017

  • Lars Norbert Petersen: Economic Model Predictive Control for Spray Drying Plants, 2012-2016

  • Gianluca Frison: Algorithms and Methods for Fast Model Predictive Control, 2012-2015

  • Leo Emil Sokoler: Methods and Algorithms for Economic MPC in Power Production Planning, 2012-2015

  • Laura Standardi: Economic MPC for Large and Distributed Energy Systems, 2011-2014

  • Rasmus Halvgaard: Model Predictive Control for Smart Energy Systems, 2010-2014

  • Andrea Capolei: Numerical Methods for Reservoir Simulation and Optimization, 2010-2013

  • Tobias Gybel Hovgaard: Power Management for Energy Systems, 2010-2013

  • Dimitri Boiroux: Model Predictive Control Algorithms for Pen and Pump Insulin Administration, 2009-2012

  • Carsten Völcker: Production Optimization of Oil Reservoirs, 2008-2012


  • Christian Ankerstjerne Thilker, Stochastic Disturbance Models: A Next Generation of Model-Based Control, 2020-2023

  • Niklas Laursen Brok: Stochastic Dynamical Optimization and Control Theory, 2017-2020

  • Robert Miklos: Learning Based Model Predictive Control of Spray Dryers, 2017-2019

  • Rune Grønborg Junker: Characterisation and Integration of Energy Flexibility through Stochastic Modelling and Control, 2016-2019

  • Nikita Zemtsov: Integration of Scheduling and Control for Energy Systems, 2016-2017

  • Vladimir Batora: Glucose Homeostasis in People with Type 1 Diabetes using an Artificial Pancreas with Insulin and Glucagon, 2013-2016

  • Jozsef Gaspar: Generic Interface Development and Benchmarking of Carbon Dioxide Reduction Processes, 2012-2016

  • Jacopo Parvizi: Adaptive Load Forecasting, 2012-2016

  • Rune Juhl: Stochastic Differential Equations in PK/PD Modelling, 2012-2016

  • Nicolai Fog Gade-Nielsen: Interior Point Methods on GPU with Application to Model Predictive Control, 2010-2014

  • Anders Skajaa: A Homogeneous Interior-Point Algorithm for Nonsymmetric Convex Conic Optimization, 2010-2013

  • Guru Prasath: Robust Model Predictive Control of Cement Mill Circuits, 2007-2011

  • Kristian Edlund: Dynamic Load Balancing of a Power System Portfolio, 2007-2010