“I never saw myself working at Kropman,” Shalika Walker confesses. “And honestly, I might not have hired Shalika,” Joep van der Velden admits, seated beside her. “But how the OpenCall of Eindhoven Engine changed things. We’ve now created a new position within Kropman specifically to bring Shalika on board,” says Joep with a big smile.

We are at one of the offices of Kropman. This company designs, builds, maintains, and manages building installations, including climate control. “Kropman, rooted in construction, is traditionally less dynamic compared to sectors like semiconductors or the medical industry. So, working here was not on my radar,” Shalika shares.

Kropman’s Workspace: More Than Meets the Eye

“Welcome to our living lab,” Joep announces as he leads me into a spacious, open-plan office. At first glance, it looks ordinary, with dark gray carpets, white adjustable desks, and black office chairs. Joep notices my lukewarm reaction and gives a knowing sigh, directing my attention upward. “The real innovation is actually hidden above us in the ceiling.” I follow his gaze to a beige suspended ceiling, and he points out a translucent cap. “Those are sensors. They allow us to monitor and adapt the office environment, responding to the current scenario or the presence of workers.”

At Kropman, the pride lies in being system integrators. We source pumps from one company, sensors from another, and piping and operating systems from yet another. Our goal is to seamlessly blend these components, providing our customers with a unified operating system that manages lighting, climate control, and solar panels, among other things. This integration is meticulously crafted to enhance the experience for our clients’ employees, focusing on maximal efficiency and environmental sustainability, using as little energy as possible.

Embracing Open Collaboration for Innovation

Creating an integrated system might seem straightforward, but it’s a challenging endeavor. We’re in a field dominated by heavyweights like Siemens, Honeywell, and Signify, each offering products with proprietary systems and unique data outputs, typically closed to external systems. To navigate this, we developed our software to manage and optimize the diverse systems a client might have. However, the need for a testing ground became apparent. Clients often hesitate to open their buildings for experimental setups; hence, we transformed our Breda office into a living lab.

We strongly believe in an open environment for research and development. Our efforts to collaborate with universities and companies across and beyond Europe, however have been met with limited success. True partnership proved elusive until we found a more receptive community in the Brainport region. This shares a work and research philosophy similar to our own company’s, plus communication is direct and efficient, enabling us to quickly and easily connect with each other. This welcoming atmosphere was pivotal when Wim Zeiler, a former colleague now with  Eindhoven University of Technology and still an advisor at Kropman, introduced us to the Eindhoven Engine OpenCall. Recognizing its potential to foster meaningful partnerships, we eagerly seized this opportunity.

Eindhoven Engine’s OpenCall: A Catalyst for Collaboration

“Working with Eindhoven Engine offers a unique experience,” Shalika explains. “We share a location with a variety of companies and students, all engaged in their own projects. This diversity is beneficial. It’s not just about casual connections, like chatting at the coffee machine; we also attend sessions to share and discuss project progress.

For instance, while working on a data prediction project, I overheard a researcher at Eindhoven Engine’s Festival of Disruption event discussing data usage in cancer research. It didn’t click immediately, but later, the idea struck me at home: we could collaborate and enhance our respective research.

These interactions open up new perspectives and inspire innovative thinking. “This collaborative atmosphere was the reason Kropman signed up for three projects in a row. One project focused on detecting and diagnosing faults in building climate systems. The second project involved personalized thermal comfort systems, allowing employees to adjust their workspace climate via a smartphone app. The third was an assessment of CO2 sensors in the market, evaluating their accuracy for reliable CO2 readings in schools.

Although these projects are completed within Eindhoven Engine, we continue to build on the research and improve the products developed.” “And that’s why we brought Shalika on board,” says Joep.

This pioneering solution guarantees a reliable energy source for winter heating needs in residential or office spaces. To enhance the system’s efficiency, an experimental setup has been established at Eindhoven Engine on the TU/e Campus. The project is one of 28 projects of Eindhoven Engine and was partly made possible by Regio Deal Brainport Eindhoven.

Source: Brainport Eindhoven

Hans Krikhaar, who is leading this project and is a lecturer in Smart Manufacturing at Fontys Engineering, understood that SMEs have a great need for innovation, but lack the capacity and knowledge to do these innovations themselves. To be ahead of the competition, it is extremely important for SMEs to keep innovating their production processes. The industries need to adopt Smart Manufacturing. The fresh perspective and knowledge of Fontys students are the outcome here. In the ecosystem knowledge exchange at Eindhoven Engine makes cross-pollinations possible between Fontys students, SMEs, other companies and institutes. With the help of Eindhoven Engine, it results in a validated approach to strengthen the innovation power of SMEs in the Brainport region.

Projects in three focus areas

The goal of SmartMan project was to annually realize 40 subprojects carried out by 2nd, 3rd and 4th year Fontys students at SMEs. During the 3-year period at Eindhoven Engine, indeed a total of 120 projects at various companies were successfully completed. A very nice result considering this project withstood the corona epidemic. In the SmartMan project with Eindhoven Engine, Fontys, TNO and Brainport Industries as partners, students do their internship and graduation assignments in various facets of Smart Manufacturing.

These can be divided into three focus areas:

1. Topological design, which includes additive manufacturing and lightweight structures.

2. Intelligent systems (AI, low-code modeling and digital twinning).

3. Factory automation and robotics.

At VDL, successive students have worked on modular injection molds (topological design). In the area of intelligent systems, several students have used artificial intelligence for VBTI to further develop vision analysis, and at Siemens, students have collaborated on developing digital twins. Students have also contributed to factory automation solutions at various companies. At Eindhoven Engine project Carbyon DAC, a student even collaborated on the process plant for making CO₂-absorbent material used to reduce CO₂ in the atmosphere.

Stronger link

Fontys Engineering is working out plans to follow up on SmartMan. The goal is to link research even more closely to student projects in companies, especially in SMEs. Students will receive assignments within research domains at companies and teacher-researchers will provide the necessary knowledge transfer. This allows future students to complete their assignments more efficiently with the guidance and knowledge of the lecturer-researcher.

“I envision this configurator as something we will use here at Sorama to configure our products for different settings, for example smart stadiums, busy streets and probably more.” Devansh’s prior educational experiences include a BSc in Computer Science & Engineering from Punjab Engineering College, Chandigarh, India, and a MSc in Sound and Music Computing from Aalborg University Copenhagen, Denmark. He has also worked in various IT roles with firms like JPMorgan Chase, Shell and Bosch.

“I’m glad to be a part of this exciting setup here in Eindhoven,

and I look forward to meeting you soon!”

Devansh Kandpal I EngD trainee VIPNOM project

In 2019, I started my PhD, after which we initiated a clinical study called Neurotrend in collaboration with Philips and the epilepsy centre Kempenhaeghe. Neurotrend is one of the first Eindhoven Engine OpenCall projects.

Predicting the clinical outcome

This study is aimed at predicting the clinical outcome (i.e., the course/development of a disease) of people with depression based on MRI scans. More specifically, we obtain structural, functional (activity) and vascular MRI scans of the brain of subjects with and without depression at the beginning of the study and after a year. During the one-year period, we monitor their depression symptoms and cognitive ability. In this way, we can predict how the depression will develop over time based on the first scans but also evaluate brain changes over a year and correlate this to symptom changes. The clinical study was ethically approved in 2021 and its data acquisition is almost finished at the time of writing.

Preliminary results

From the preliminary results, we can conclude that brain activity patterns and interaction between brain networks is time-varying and that including this neurodynamic nature in a model improves the prediction of depression symptom severity changes over time compared to more standard/static approaches (brain activity/synchronicity over the whole functional MRI scan). Moreover, we demonstrate that a relatively novel MRI acquisition method, called multi-echo multiband imaging, increases the functional MRI signal quality and improves, amongst other things, the temporal resolution. This is beneficial as it allows us to more reliably model network interactions. Another interesting finding was the fact that brain volume and tissue properties of several limbic structures, which are known to be involved in emotion processing, also have predictive value for clinical outcome in depression. A smaller amygdala (associated with fear processing) volume correlated significantly with a higher number of lifetime depressive episodes.

Improving the models and interpreting clinical meaning

In the last period of the PhD, I will focus on improving the models and interpreting the clinical meaning of these results, which will further help in understanding the aberrant brain mechanisms in subjects with depression. We hope to show other researchers the direction in which we think future MRI studies related to psychiatric disorders should head. Taking into account the complex, dynamically interactive brain while implementing the aforementioned MRI acquisitions could lead to more replicative results, especially if carried out in studies with a larger sample size. Even though we will not yet be able to apply these models in the clinic to support (still subjective) clinical decision-making, we are contributing significantly to existing depression-related MRI research. We have demonstrated the potential of state-of-the-art analyses and acquisitions in combination with a multi-modal MRI-based longitudinal study for depression diagnosis/prognosis purposes.

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