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Irene KamaraView profile

Assistant Professor

• Cybercrime
• Data Protection
• Human Rights
• +7 more

Dr. Irene Kamara is an Assistant Professor at Tilburg Law School and TILT (Tilburg Institute for Law, Technology, and Society) at Tilburg University. She holds a joint doctorate from Tilburg University and Vrije Universiteit Brussel (VUB), specializing in data protection standardization. Irene is an affiliated researcher at VUB’s Law, Science, Technology, and Society (LSTS) group and serves as Research Coordinator at TILT since August 2022. Education: PhD in Law with a focus on Data Protection Standardization (Tilburg University & VUB, 2021) LL.B. in Law (Democritus University of Thrace) MSc in International and European Studies (University of Piraeus) Research Interests: Irene examines the intersection of technology and human rights, particularly cyberviolence (cyberstalking, image-based abuse), cybersecurity governance, AI ethics, and data protection law. Her work emphasizes EU legal frameworks, technical standards, and soft law instruments. Recent projects include analyzing child cyberbullying legislation across EU states and developing privacy-preserving AI frameworks through the ENCRYPT Horizon Europe project. Teaching: Course coordinator for Cybercrime (LL.M. Law & Technology) and Regulating Cybersecurity (MSc Artificial Intelligence & Cybersecurity). Supervises PhD and master’s theses. Professional Activities: Member of ENISA Experts List, Netherlands Network for Human Rights Research (NNHRR), and European Academy for Standardisation (EURAS) Evaluator for EU-funded proposals on societal security Editorial Board member of the Journal of Standardisation Awards & Grants: 2025 KNAW Early Career Partnership Grant 2021 CEN CENELEC Standards+Innovation Individual Researcher Award 2023 Nominated for Praemium Erasmianum Foundation Prize Current Projects: CArE Project : Combating technology-facilitated cyberviolence (2023–2027) ENCRYPT Project : Privacy-preserving AI frameworks (2022–2025) HE Edu4Standards.eu : Standardization education initiatives (2024–2026)

Nima Monshizadeh NainiView profile

Professor

• Cyber-Physical Human Systems (CPHS)
• Control Theory
• Optimization
• +5 more

Nima Monshizadeh Naini is a Professor in the Faculty of Science and Engineering at the University of Groningen. He holds the position of Chair of the IEM Program Committee and serves on the boards of ENTEG and YSEN. His academic journey includes a PhD in Control Systems from the University of Groningen (2013, Cum Laude), followed by postdoctoral research at the University of Cambridge (2016-2017) and the University of Groningen (2014). He has been an Assistant Professor since 2018 and was awarded the NWO Open Competition Grant in 2021. His research focuses on Cyber-Physical Human Systems (CPHS) , addressing two core areas: (1) Coordination of self-interested users in power systems and traffic networks using dynamic information design and game-theoretic mechanisms; and (2) Privacy-aware control and optimization with tailored encryption methods for dynamic systems. Applications include energy markets, microgrids, and smart grids. He has published extensively in top venues like IEEE CDC and Automatica, with key topics including privacy-preserving algorithms, distributed control, and optimal intervention design. His work contributes to UN Sustainable Development Goals related to affordable energy and responsible consumption. Education: PhD in Control Systems, University of Groningen (2013) Research Associate, University of Cambridge (2016-2017) Postdoctoral Researcher, University of Groningen (2014) Awards: Cum Laude distinction for PhD thesis (2013) NWO Open Competition Grant (2021) Advising & Grants: Supervised 5 PhD students Editorial roles in IEEE journals and conference proceedings Labs/Teams: Leading the Cyber-physical systems group within the Smart Manufacturing Systems institute.

Boris SkoricView profile

Associate Professor

• Cryptography
• Information Security
• Quantum Physics
• +5 more

Boris Škorić is an Associate Professor in the Security group at Eindhoven University of Technology (TU/e), affiliated with the Department of Mathematics and Computer Science. His research focuses on security applications leveraging noisy data, quantum physics, and cryptographic techniques. He holds a PhD in Theoretical Physics from the University of Amsterdam and has worked at Philips Research before joining TU/e in 2008. Research interests include secure key storage, anti-counterfeiting, privacy-preserving biometric systems, and quantum security protocols. His work bridges physics, information theory, and cryptography, addressing challenges like collusion-resistant watermarking and quantum-based security solutions. He is part of the Center for Quantum Materials and Technology Eindhoven and teaches courses such as 'Introduction to Quantum Computing and Security.' No ancillary activities are listed, and his contributions are centered within TU/e's academic and research ecosystem.

• Cybersecurity
• Data Encryption
• Access Control Systems
• +3 more

Willem Jonker is a Full Professor at the Digital Society Institute, specializing in Semantics, Cybersecurity & Services. His research focuses on encryption schemes, access control, and privacy-preserving technologies. He has contributed to over 120 publications, with recent work addressing CVE-to-CWE mapping, anomaly detection in network traffic, and functional encryption systems. His expertise aligns with UN Sustainable Development Goals related to secure digital systems and privacy. Jonker has supervised 10 students and actively participates in academic conferences, presenting on topics like secure data management and cryptographic protocols. Research interests include cryptographic protocols, secure data management, and cybersecurity solutions. Notable projects involve developing methods for detecting covert channels, enhancing data privacy in healthcare, and improving secure search over encrypted data. He has also contributed to standards in digital rights management and forensic image recognition.

Tom F.A. de GreefView profile

Professor

• Synthetic Biology
• Molecular Computing
• Engineered Living Systems
• +4 more

Tom F.A. de Greef is a Full Professor at Eindhoven University of Technology's Biomedical Engineering department, leading pioneering research at the intersection of synthetic biology, molecular computing, and engineered living systems. He founded the Center of Living Technologies and serves as a Core Professor at the Institute for Complex Molecular Systems (ICMS). Key research areas: Biological Computing Devices, DNA-based Data Storage, Engineered Living Materials, Synthetic Cell Engineering, Digital Chemistry, and Protocell Communication. His work has resulted in over 100 publications in Nature , Nature Chemistry , and Nature Nanotechnology , supported by prestigious awards including ERC Consolidator, Starting, and PoC grants, as well as NWO's VICI, VIDI, and VENI grants. He received the Cram-Lehn-Pedersen Prize in 2017 and was named a Groundbreaking TU/e Researcher in 2022. Leadership roles: Founding member of Center of Living Technologies, Principal Investigator at TU/e, and Fellow of the Netherlands Academy of Engineering. He supervises a large research group with >15 PhD students and leads collaborations across international institutions, focusing on programmable molecular systems and sustainable technologies aligned with UN SDGs.

Maarten van SteenView profile

Professor

• Distributed Systems
• Artificial Intelligence
• Edge AI
• +4 more

Maarten van Steen is a Professor active in the fields of Distributed Systems , Artificial Intelligence , and Cybersecurity . With an h-index of 35 and over 5,400 citations, his work focuses on Edge AI , Privacy Preservation , and WiFi-Based Sensing . His research emphasizes non-intrusive authentication, anonymization techniques, and crowd monitoring without compromising individual privacy. Key research areas: Distributed Systems, Privacy Preservation, WiFi Security Recent projects: RoomKey, LocKey, FlowPrint Crowd-monitoring applications: Subway travelers, pedestrian dynamics Van Steen's work combines Machine Learning with Homomorphic Encryption to develop privacy-first solutions. He has contributed to mobile app fingerprinting , WiFi authentication , and blockchain scalability challenges. His 2024–2025 publications reveal trends in contextual security , crowd behavior analysis , and automated threat intelligence . Notable methods include Bloom Filters, automata learning, and WiFi beacon frame analysis. Dutch Cyber Security Best Research Paper Award 2024 Runner-up (shared prize) Van Steen supervises research teams and collaborates on datasets like Code for Threat Intelligence Processing and DeepCASE . His work spans 20+ years , with 208 total research outputs and significant contributions to decentralized systems, network traffic analysis, and urban mobility.

Thijs van EdeView profile

Assistant Professor

• Cybersecurity
• Machine Learning
• Artificial Intelligence
• +3 more

Thijs van Ede serves as an Assistant Professor in the Semantics, Cybersecurity and Services research group at the University of Twente's Faculty of Electrical Engineering, Mathematics and Computer Science. His academic work centers on security automation through machine learning and AI integration, with specialized expertise in large language models for intrusion detection systems and anomaly analysis in rapidly evolving network environments. His research program bridges theoretical AI advancements with practical cybersecurity applications, focusing on contextual security analysis using deep neural networks and Natural Language Processing techniques for cyber threat intelligence sharing. This work manifests in open-source tool development emphasizing collaborative science, including frameworks for encrypted traffic analysis and security event log interpretation. Recent publications demonstrate consistent innovation in applying deep learning to network security challenges, particularly through the DeepCASE (2022) and FlowPrint (2020) frameworks that address anomaly detection in security logs and mobile application fingerprinting respectively. These works establish patterns in leveraging sequential data analysis for real-time threat identification. Through active mentorship of the Twente Hacking Squad student team, he cultivates next-generation cybersecurity talent via Capture The Flag competitions while maintaining research infrastructure through open-source security tools. His academic service includes developing accessible research implementations that bridge theoretical concepts and operational security solutions. As a core member of the Semantics, Cybersecurity and Services research group, he contributes to the University of Twente's Digital Society Institute initiatives, focusing on deployable AI security systems that operate effectively in dynamic enterprise environments. His work maintains strong connections between academic research and practical security operations through toolchain development and student engagement.

Marco SpruitView profile

Professor

• Advanced Data Science
• Population Health
• Natural Language Processing (NLP)
• +5 more

Marco Spruit is a Professor of Advanced Data Science in Population Health at Leiden University, holding dual appointments at the Leiden University Medical Center (LUMC) and the Faculty of Science's Leiden Institute of Advanced Computer Science (LIACS). His research focuses on translational data science, integrating machine learning, natural language processing, and healthcare applications to bridge fundamental and applied research. He leads the Translational Data Science & AI Lab (TDS Lab), aiming to establish a national infrastructure for Dutch health data science. Education & Leadership: Spruit earned his PhD in computational linguistics from the University of Amsterdam. He has led numerous initiatives, including the Data Science strategy at Utrecht University and the Translational Data Science research theme at Leiden. His leadership style emphasizes mentorship and collaborative innovation. Grants & Collaborations: Key projects include UNCAN-Connect (€30M EU grant for cancer research), INSAFEDARE (synthetic data for regulatory decisions), and Phaeton (pandemic preparedness platform). He collaborates with institutions globally, including Universitas Gadjah Mada in Indonesia. Research Interests: Spruit specializes in federated learning, synthetic data generation, clinical NLP, and AI-driven healthcare solutions. His TDS Lab addresses challenges in data engineering, analytics, and eHealth implementation, with applications in mental health, diabetes management, and elderly care. Awards: He received the ALLC Bursary Award (2005) for computational linguistics research. His work emphasizes ethical AI and responsible data practices. Lab & Teams: The TDS Lab includes 1 assistant professor, 2 postdocs, 6 PhD students, and 4 external collaborators. Monthly meetings foster academic and social cohesion, with a focus on mentorship and innovation.

Sabine OechsnerView profile

Assistant Professor

• Secure Multiparty Computation
• Cryptography
• Cryptographic Protocols
• +3 more

Sabine Oechsner is an Assistant Professor at the Faculty of Science , Computer Science Department of Vrije Universiteit Amsterdam, and a member of the Network Institute . Her research focuses on cryptographic protocols, secure multiparty computation (MPC), and formal verification of cryptographic systems. She specializes in designing secure computation frameworks with practical implementations against malicious adversaries. Her work emphasizes adaptive security , garbling schemes , and zero-knowledge proofs , with applications in privacy-preserving technologies and secure communication. Collaborations span global institutions, addressing challenges in cryptographic protocol efficiency and real-world security mitigations. She teaches Secure Programming (2024–2025) and has published 12 peer-reviewed articles since 2018, including foundational work on SPDZ implementations and time-lock puzzles . Her research bridges theoretical cryptography with practical, deployable solutions.

• Criminal Procedure
• Criminal Law
• Digital Evidence
• +3 more

Celine Taylor Parkins-Ozephius serves as Junior Assistant Professor at Utrecht University's School of Law, specifically within the Willem Pompe Institute for Criminal Law and Criminology. Her academic appointment falls under the Faculty of Law, Economics and Governance, where she focuses on the intersection of criminal procedure and digital technology. Her research centers on digital evidence reliability in criminal courts, with particular expertise in smartphone forensics, biometric authentication, and cross-border digital investigations. Current projects examine judicial frameworks for assessing technical evidence, EU standards for digital searches, and privacy implications of law enforcement's access to encrypted devices. Her work frequently addresses tensions between investigative needs and fundamental rights in digital contexts. Teaching responsibilities include coordination of the master's course "In-Depth Criminal Procedure Law," where she delivers lectures and tutorials. She actively supervises master's theses in criminal procedure and digital evidence topics. Her publications demonstrate consistent engagement with emerging challenges in digital criminal justice, including EncroChat investigations, two-factor authentication evidence, and ECHR compliance in digital evidence collection. Collaborative work appears across multiple Dutch legal journals and the EHRC Updates platform, often with Dave van Toor and other Willem Pompe Institute colleagues. Her research methodology combines doctrinal legal analysis with practical examination of investigative techniques, emphasizing the need for updated judicial frameworks in digital evidence assessment.

• Cryptography
• Network Security
• Privacy Technologies
• +3 more

Jacob R. Appelbaum is a Postdoc researcher at the Department of Mathematics and Computer Science, Eindhoven University of Technology. His work focuses on cybersecurity, privacy technologies, and network security. He obtained his PhD in 2022 with a thesis on counter-strategies against pervasive surveillance architectures. Appelbaum is a prominent figure in digital privacy advocacy, contributing to projects like the Tor network and the Autonomy Cube art installation, which promotes anonymous internet access through Tor routing. His research interests include DNS security, cryptographic protocols, and mitigating surveillance tactics by governments and organizations. He has been recognized with awards such as the Best investigative reporting (2014), Crypto Best Paper Award 2009 , and the Defensor Libertatis (2012). His work often bridges technical innovation with societal impact, addressing challenges in privacy preservation and secure communication. Appelbaum has contributed to standards like IETF RFC 7686 for the ".onion" domain and exposed NSA surveillance programs through investigative journalism. His interdisciplinary projects, such as the Autonomy Cube, highlight the intersection of technology and art in advocating for digital rights.

• Biometrics
• Machine Learning
• Computer Vision
• +7 more

Raymond Veldhuis is a Professor at the Norwegian University of Science and Technology (NTNU) and a researcher in Data Management & Biometrics. His work spans biometrics, machine learning, and computer vision. Research Interests : Machine learning (traditional and deep learning) Biometric systems (face recognition, finger vein recognition) Computer vision (neural networks, synthetic face generation) Data security (encryption, attack modeling) Transformer-based time series forecasting Recent Article Trends : His publications focus on biometric encryption, face recognition vulnerabilities, deep learning efficiency, and comparative studies of classical vs. modern recognition methods. Scientific Awards : Best paper award (2024)

Simon RommelView profile

Assistant Professor

• Electrical Engineering
• Quantum Communication
• Terahertz Technology
• +3 more

Simon Rommel is an Assistant Professor in the Department of Electrical Engineering at Eindhoven University of Technology (TU/e), specializing in Terahertz Systems and Quantum & Terahertz Systems. He holds a PhD from the Technical University of Denmark (2017) and prior degrees from the University of Stuttgart, Aston University, and Scuola Superiore Sant’Anna. His research focuses on converged mm-wave/THz radio and optical links, 5G/6G systems, quantum key distribution (QKD), and advanced optical fibers. He leads the QKD testbed development under Quantum Delta and QTe initiatives. Key projects include QCINed (National Quantum Communication Infrastructure), HiCONNECTS (Heterogeneous Integration), and ALLEGRO (Secure Networks). Rommel has received awards such as the 2023 EuCNC/6G Summit Best Student Paper and 2021 OECC Best Student Paper. His work spans 155+ publications, with recent articles addressing quantum-resistant TLS, polarization mitigation in optical fibers, and 5G/6G fronthaul architectures. He also contributes to editorial roles in journals like Frontiers in Future Transportation and scientific activities including 5G-MOBIX events.

Vasilis TsouvalasView profile

Researcher

• Federated Learning
• Data Privacy
• Audio Recognition
• +6 more

Vasilis Tsouvalas is a Researcher in the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e), affiliated with the Interconnected Resource-aware Intelligent Systems research group. His work centers on advancing federated learning architectures with emphases on communication efficiency and privacy preservation. His core research domains include: Federated Learning Data Privacy and Security Audio and Speech Recognition Systems Communication Cost Optimization Model Compression Techniques Distributed Machine Learning Analysis of his recent publications reveals a strong trajectory in solving heterogeneity challenges in federated systems, with innovative approaches to functional encryption for unlearning compliance and vision model fine-tuning. His work consistently addresses real-world constraints like communication bottlenecks and edge device limitations while maintaining model accuracy. Contact: v.tsouvalas@tue.nl Dr. Tsouvalas has supervised 2 students according to institutional records, though specific names aren't publicly listed. His research is conducted within the Interconnected Resource-aware Intelligent Systems framework at TU/e, focusing on practical implementations for resource-constrained environments.

Will HurstView profile

Associate Professor

• Data Science
• Extended Realities (XR)
• Critical Infrastructures
• +7 more

Dr. Will Hurst is an Associate Professor in Data Science and Extended Realities at Wageningen University & Research's Information Technology Group. He holds a PhD in Computer Science (focused on Critical Infrastructures) and has over 100 international publications across data science, creative technologies, and critical infrastructure security. His research emphasizes XR applications in education, healthcare, and sustainability, alongside smart meter analytics and cybersecurity. Education: PGCert (Distinction) in Higher Education, MSc Web Computing, BSc Product Design Grants: EPSRC-funded 'Data Analytics for Health-Care Profiling using Smart Meters' and InnovateUK's Productivity Accelerator Research interests include digital twins, immersive learning technologies, and interdisciplinary hackathon methodologies. Recent work explores AR/VR in medical training, NFTs in art, and sustainable consumer behavior. Awards include recognition as an award-winning Reader in Creative Technologies at Liverpool John Moores University (2016-2022). Teaching includes courses on data visualization, digital game development, and advanced multimedia systems. Engages in active aging initiatives through co-design hackathons and community-based projects.