Newsletter August 2022

Message from the DISC Office

Dear all,

Welcome to the August newsletter.

We are very pleased to inform you that the course program 2022-2023 is finalised. You can register for the DISC courses via the DISC course platform.

At the moment we are busy with the preparations for the DISC 35 years anniversary. We hope that many DISC members  attend this event on the 29th of September. More info in this newsletter.

On the background we have started the preparations for finding a location for the Benelux Meeting 2023. We will keep you informed.

With best regards,

Henk Nijmeijer,
scientific director

Renate Kragtwijk,
DISC secretariat

Anniversary 35 years DISC (1987 – 2022) – celebration 29 September 2022

Dear all,

The invitation for 35 years DISC celebration is send to all DISC members (PhD, postdocs and staff) and you are most welcome to join.

We hope you will all be attending this event in Utrecht.  We need your registration by September 5 at the latest.

Please send your registration form to


Course program 2022-2023

The DISC course program 2022-2023 is ready. You can find it here. Registration is open on the DISC course platform.

We will start in October 2022 and the courses will take place in Utrecht, at Cursus- en vergadercentrum Domstad.

We are offering the following courses:

Learning and Adaptive Control
W.B.J. Hakvoort, University of Twente
H. Köroğlu, University of Twente

Identification of Networks of Dynamic Systems
M. Verhaegen, Delft University of Technology

Linear Matrix Inequalities in Control
S. Weiland, Eindhoven University of Technology
M.C.F. Donkers, Eindhoven University of Technology

Mathematical Models of Systems
J.W. Polderman, University of Twente
S. Trenn, University of Groningen

Nonlinear Control Systems
B. Jayawardhana, University of Groningen
B. Besselink, University of Groningen

Design Methods for Control Systems
T. A.E. Oomen, Eindhoven University of Technology
J.W. van Wingerden, Delft University of Technology

Nonlinear Control for Performance: Frequency domain approach
M.F. Heertjes, Eindhoven University of Technology
H. HosseinNia, Delft University of Technology

Symposium on automated vehicles – September 8 from 13:00 – 17:00 – Automotive Campus Helmond

Prior to my PhD defense (September 9 in Delft), I will organize a symposium on automated vehicles at the Automotive Campus in Helmond on September 8 from 13:00 till 17:00.
A diverse list of (international) speakers from academia, R&D, and governmental institutes will present their views on (the future of) automated and autonomous vehicles. I think this symposium is an excellent opportunity for anyone with interests in vehicle automation to discuss with fellow scientists, engineers, policymakers, etc. the aspects and challenges of automated vehicles.

Attendance is free and you will be welcomed from 12:30 will coffee and tea. Drinks and snacks will be served afterwards.

You can find more information on

Please, register at

The speakers will be:

  • Erwin de Gelder (TNO, organizer) – Welcome speech
  • Sergio Grammatico (TU Delft) – Autonomous driving via game theoretic control
  • Andrea Leitner (AVL, Austria) – Challenges of safety assessment for ADAS/AD
  • Henk Nijmeijer (TU Eindhoven) – Challenges and contributions in cooperative and automated vehicles
  • Jeroen Ploeg (Siemens) – Does automated driving need V2X communication?
  • Riender Happee (TU Delft) – Motion comfort in automated driving
  • Riccardo Donà and Sándor Vass (JRC, Italy) – Multi-pillar approach for new ADS type approval framework
  • Sytze Kalisvaart (TNO) – Comparability and exchangeability of scenario databases
  • Espedito Rusciano (RDW) – From Open Norms to In Service Safety: How to assure the safety of Autonomous vehicles

With warm regards,

Erwin de Gelder

PhD candidate at TU Delft

Scientist at TNO

New people

Groningen University

Name: Radu Cimpean
Starting date: 01.08.2022
Function: PhD
Group: Systems, Control and Optimization
Supervisor: Assistant Professor Alden Waters

Project: The development of ordinary differential equation theory and computational models for the sense of smell

My name is Radu and I am delighted to have joined the Systems, Control and Optimization as a PhD student.

My educational background is quite complex, starting with a Bachelor in Engineering and Management (2015), followed by a Master in Fundamental Structures in Mathematics (2017). Both have been achieved in my home country of Romania, at Transilvania University of Brasov. After a second Master`s degree obtained at the University of Groningen in the field of Dynamical Systems (2021), my interest towards applied mathematics was raised and thus, here I am as a PhD student working on a project entitled  “The development of ordinary differential equation theory and computational models for the sense of smell”.  This topic offers me the chance to improve on existing models for the sense of smell, while at the same time giving the opportunity to use this improvement towards the development of electronic noses destined to detect lung cancer as means of non-invasive detection methods.

As guessed the project entails a multidisciplinary approach, thus I will work together with colleagues from Biophysics and Material Science to tackle the scientific challenges that await.
My interests cover subjects that deal with Analysis, Dynamical Systems, Differential Equations, Probability theory and Statistics, and outside mathematics, subjects such as Biochemistry, Forensics, Economy.
At a personal level, I like to spend my free time reading, especially detective novels, attending classical music concerts, visiting museums of history, art, science, and if given time, travel (which combines the aforementioned activities).

Delft University of Technology

Name: Thomas Edridge
Starting date: 04-2022
Function: PhD
Group: 3ME – DCSC


Hello everyone! My name is Thomas Edridge and a little while back I joined the Sensor AI Lab. I have previously studied Mechanical Engineering and Systems and Control at the TU Delft. I am looking forward to continue at the TUDelft as a PhD candidate.

In my PhD I will explore how can we close the bridge between Sensor Fusion and AI. In other words, how we can incorporate physical knowledge into scalable Gaussian Processes. The goal is to extract more information from available sensor data. A Gaussian process is a machine learning (data-driven) tool for regression which can learn very non-linear functions. This allows for (in our research field e.g.) the modelling of the ambient magnetic field. This magnetic field can then be used to detect loop closures for a robot driving around, reducing the uncertainty in its position. This begs the question and initial direction of my research: how can we make us of this information in a GP framework?

In my free time I enjoy the frequent game of squash, going for a run, or go cycling. Most evenings you can find me in the kitchen trying out a new recipe I discovered. I am an enthusiastic (home)cook who is continuously looking for new techniques/recipes to improve my skillset.

Name: Gianpietro Battocletti
Starting date: 08-2022
Function: PhD
Group: 3ME – DCSC
Supervisor: prof. Bart De Schutter

Hello everyone! My name is Gianpietro Battocletti and I come from Italy.

I’ll be starting my PhD in “Learning-based cooperative multi-agent control” at DCSC under the supervision of prof. Bart De Schutter. I will be working on the path planning and coordination for the submarine robots of the SeaClear project.

I got my Bachelor’s in Industrial Engineering at the University of Trento and my Master’s in Mechatronic Engineering at Politecnico di Torino, where I developed a reinforcement-learning based path planning algorithm for autonomous UAVs. My main research interests regard autonomous robotics, artificial intelligence and reinforcement learning, and collaborative robotic systems.

In my free time I enjoy playing and listening to music, bouldering, analog photography and cooking.

Name: Mohammad Khosravi
Starting date: 08-2022
Function: Assistant Professor
Group: 3ME – DCSC

Mohammad Khosravi received a B.Sc. in electrical engineering and a B.Sc. in mathematical sciences from Sharif University of Technology, Tehran, Iran, in 2011. He obtained a postgraduate diploma in mathematics from ICTP, Trieste, Italy, in 2012. He was a research scientist in the mathematical biology group at Institute for Research in Fundamental Sciences, Iran, from 2012 to 2014. He received his M.A.Sc. degree in electrical and computer engineering from Concordia University, Montreal, Canada, in 2016, and his Ph.D. from Automatic Control Laboratory, ETH Zurich. Currently, he is an assistant professor at Delft Center for Systems and Control, TU Delft.

He has won several awards, including the National Mathematics Olympiad gold medal, the Outstanding Student Paper Award in CDC 2020, and the Outstanding Reviewer Award for IEEE Journal of Control Systems Letters. His research interests include data-driven and learning-based methods in modeling, control, and optimization, particularly for large-scale and infinite-dimensional systems. The main applications of interest are buildings, energy, thermodynamic and industrial systems.


PhD defences

Delft University of Technology

Candidate: Shrinivas Chimmalgi
Group: DCSC
Thesis: Fiber-Optic Communications Using Nonlinear Fourier Transforms: Algorithms and a Bound
Promotors: Dr.-Ing. S. Wahls and M. Verhaegen
Date: 08-09-2022

Candidate: Erwin de Gelder
Group: DCSC
Thesis: Safety assessment of automated vehicles using real-world driving scenarios
Promotors: B. De Schutter and Dr. J.P. Paardekooper
Date: 09-09-2022

Eindhoven University of Technology

Candidate: Ir. W.J. Scholte
Group: Dynamics & Control
Thesis: Control for Cooperative Merging Maneuvers into Platoons
Promotor: Prof.dr. H. Nijmeijer
Date: 13-09-2022
Location: TU/e Atlas. 0.520
Time: 16h00

Vacancies at DCSC – 3ME – TUD

At DCSC TUD there are a number of vacancies for Assistant Professor:

For all vacancies (Postdoc positions and PhD positions), please visit the DCSC website.

Next issue of the newsletter

The next issue of this Newsletter will appear in September 2022.

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