Graduates & students

Designs adaptive interventions for the active internalisation of organisational knowledge among senior professionals. Examines sustainable learning engagement strategies in corporate environments.

As digitalization transforms industries, IT is shifting from a support function to a critical enabler of business performance. This changes what customers demand from their IT outsourcing partners. At the same time, IT outsourcers face increasing commoditization and seek to move toward higher-margin, strategic roles where they directly contribute to the customer's future business outcomes. Central to this transition is aligning on a shared long-term direction: a 'shared future vision', that can be translated into IT capabilities and initiatives that realize the customer's ambitions. This thesis explores how IT outsourcers can effectively co-create shared future visions with their B2B customers. Combining a literature review with empirical research at Schuberg Philis, the study synthesizes twelve key factors for effective future visioning across three themes: preconditions, approach, and output. This informed the development of the GIGA (Guided Information Gap & Action) Tool, a structured framework enabling employees to systematically prepare for and conduct future visioning workshops with customers. Validation through a real-world customer case showed the concept enables systematic analysis of customer documents, identification of information gaps, and thorough preparation, resulting in more effective workshops.

Develops a strategic design framework for collaborative twin transformation in IT outsourcing. Examines how technology and human collaboration can drive positive change in outsourcing relationships.

Investigates how large language models can guide code refactoring through mutation-based approaches. Explores automated code improvement techniques using LLMs at Schuberg Philis.

Examines developer perceptions and usability of LLM-assisted static analysis alert prioritization. Studies how AI can help developers focus on the most critical code analysis alerts.

Develops LLM-based decision support systems for enterprise software delivery, integrating DevOps, business metrics, and sustainability considerations into a unified framework.

This thesis examines the growing importance of loyal B2B relationships between an IT outsourcer and its customers. The research investigates how loyal B2B relationships between SBP and their customers are established and sustained to facilitate a transition towards business outcome-driven partnerships. Key findings include a detailed context-driven B2B value framework, the correlation between B2B values, events, and interactions that guide the establishment of loyal relationships, and how a shared future vision enables the transition to business outcome-driven partnerships.

Investigates practical effectiveness of selected energy optimization techniques for LLM-based applications in industrial contexts. Conducts controlled experiments on internal enterprise chatbot system, evaluating trade-offs between energy reduction and accuracy/latency.

Introduces ReliableRAG, a benchmark for evaluating the consistency of Retrieval-Augmented Generation (RAG) systems. Proposes a consistency metric to measure whether RAG systems produce semantically equivalent outputs for identical queries.

Explores multi-agent systems for automating request for proposals (RFP) processes. Designed in collaboration with Schuberg Philis, examining frameworks and functionalities for intelligent proposal generation.

The threat of cyber attacks is greater than ever and will most likely only grow in the future. This research aims to understand how cyber attacks can cause environmental incidents in the liquid bulk industry in the Rotterdam maritime area. Results can be generalised to other industry 4.0 operations. The research finds that cyber attacks on the liquid bulk industry are very hard to pull off, requiring deep knowledge and expertise.

Research on integrating high-volume autonomous vehicle operations into civil airspace, examining regulatory and operational challenges.

Study examining how Python code compilation techniques impact energy consumption and performance, with implications for green software engineering.

This study explores cyber vulnerabilities within the berthing process business ecosystem at the Port of Rotterdam. Key findings reveal that critical systems like the Port Community System (PCS) are vulnerable to cyber attacks. The research identifies specific vulnerabilities including GPS and AIS spoofing, data breaches, and human negligence factors.

Experimental evaluation of architectural tactics (Decorator pattern, Prompt Optimization, 2-bit Quantization) to reduce energy consumption in cloud software, with focus on practical effectiveness in industrial contexts.

Thesis examining how service innovations are adopted in self-steering organizations, comparing initiation versus standardization approaches.

Optimization of brewery packaging operations using discrete event simulation and linear programming to solve buffer allocation problems.

Defines and provides a catalog of architectural tactics that software architects can apply to optimize cloud-based applications for energy efficiency, addressing the gap between cloud migration promises and actual responsibility distribution.

This study focuses on mission-critical IT as within mission-critical IT, time is often of the essence, and there is limited room for failure. Two case studies were conducted within Schuberg Philis for customer teams that operate in the finance industry and postal service industry. Results show that in most cases, mission-critical workarounds relate to the administrative part of the process or the approval mechanisms. The majority of workarounds have a positive impact on time, costs and flexibility of the process.

Explores Industrial Augmented Reality (IAR) application in manufacturing to support production line operations with real-time visual information, testing human-machine cooperation effectiveness versus traditional methods.

As the IT landscape becomes increasingly clouded, data centres are predicted to consume 1391 megawatts of power. This research uses machine learning (LSTM neural networks) to predict power usage efficiency of data centres, enabling engineers to optimize configurations without altering physical infrastructure.

Research on cybersecurity measures for remote-controlled shipping operations. Explores the 4 levels of Maritime Autonomy Surface Ships (MASS) and addresses security requirements for remotely controlled vessels without sailors on board, examining frameworks, functionalities, and security measures for autonomous maritime operations.

Design of an Origin Access Control (OAC) application for the software development pipeline at Schuberg Philis. Focuses on access control mechanisms for software artifact origins.

Analysis of stakeholder ecosystem and cooperation mechanisms to implement CO2 reduction initiatives in the Rotterdam port area.

Models and analyzes the preliminary report chain (voormeldketen) at Schuberg Philis using queuing theory to optimize workflow and reduce bottlenecks.

Industrial Design elective program focusing on innovative strategic business design in collaboration with Schuberg Philis.

Industrial Design elective program focusing on innovative strategic business design in collaboration with Schuberg Philis.

Industrial Design elective program focusing on innovative strategic business design in collaboration with Schuberg Philis.

Industrial Design elective program focusing on innovative strategic business design in collaboration with Schuberg Philis.

Industrial Design elective program focusing on innovative strategic business design in collaboration with Schuberg Philis.

Internship conducting security and compliance projects in collaboration with Audit, Security, and Labs teams. Projects included: ISO 27002/27001 mapping and self-assessment updates (2017-2020 version transition), Statement of Applicability preparation, security frameworks assessment for Akamai (ING framework) and AWS (DNB best practices), physical security awareness initiatives, and security technology radar development for internal consulting and knowledge sharing.