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Dr. Ielka van der Sluis is a Senior Lecturer at the Department of Communication and Information Science, Faculty of Arts at the University of Groningen since 2011. She holds a PhD in Computational Linguistics from Tilburg University (2005) and has held research positions at Trinity College Dublin (2008–2011), the University of Aberdeen (UK), and the University of Twente. Her research focuses on human communication, multimodal interaction, natural language generation, and affective computing. She is a member of the Center for Language and Cognition Groningen and has contributed to projects like TUNA (EPSRC-funded), the OLIVE EC project, and the PAT framework for multimodal instruction analysis. Her work bridges computational linguistics and human-computer interaction, emphasizing the design and evaluation of multimodal systems. She has explored topics such as cross-linguistic referring expression generation, affective text impact, and procedural instruction design. Key contributions include developing the PAT annotation model for multimodal instructions and investigating cross-cultural assessment of automated referring expressions in virtual environments. Her research history spans over two decades, with impactful contributions to the understanding of text-picture alignment in procedural instructions, action categorization in multimedia, and user-centric evaluation frameworks. She collaborates internationally, particularly in computational linguistics and next-generation localization technologies.

• Human Communication
• Information Presentation
• Human-Computer Interaction
• +3 more

Malvina Nissim is a Professor of Computational Linguistics and Society at the University of Groningen's Faculty of Arts, affiliated with the Center for Language and Cognition Groningen (CLCG). Her research focuses on NLP applications to societal challenges, ethics in AI, and science communication. She is actively involved in initiatives like the Sectorplan's Humane AI theme and the ACL Ethics Committee. Education: Not explicitly listed in provided texts, but her career path suggests doctoral training in linguistics/comp. ling. Research interests include multilingual NLP, bias mitigation in AI, ancient language processing (e.g., AGALMA project), and responsible tech communication. She has co-authored a popular introductory book on Computational Linguistics (in Italian). Publications span topics like dialogue systems, model uncertainty in ed tech, and cross-lingual NLP. Key awards include the 2016 UG Lecturer of the Year. Awards: 2016 Lecturer of the Year, multiple grants (e.g., CLICK-NL 800K for PAGINA project with Dagblad van het Noorden).

• Computational Linguistics
• Natural Language Processing (NLP)
• AI Ethics
• +3 more

Dr. Marten van Dijk is a Full Professor in the Computer Security department at Vrije Universiteit Amsterdam (VU) since 2022 and a Group Leader for Computer Security at CWI since 2020. He also holds a Gratis Full Research Professor position at the University of Connecticut's ECE Department since 2020. Previously, he served as Associate and Full Professor at the University of Connecticut and held research roles at MIT CSAIL, RSA Laboratories, and Philips Research. PhD in Mathematics (1997, Eindhoven University of Technology) M.S. in Mathematics (Cum Laude, 1993) M.S. in Computer Science (Cum Laude, 1991) His research focuses on foundational computer security problems using cryptographic principles, including secure processor design, oblivious computation, and privacy-preserving machine learning. Notable contributions span Physical Unclonable Functions (PUFs), Aegis secure processor architecture, and oblivious RAM protocols. 15+ publications in 2023-2025 address topics like PUF cryptanalysis, differential privacy in federated learning, and Byzantine fault tolerance Key journals: IEEE Transactions on Computers, Journal of Cryptology, ACM CCS Conference Award highlights include: IEEE Fellow (2022) for secure processor design and encrypted computation IEEE Technical Achievement Award (2023) Intel Test of Time Award (2022) ACM CCS Best Paper (2013) A. Richard Newton Technical Impact Award (2015) His technical leadership spans hardware security (blu-ray error correction codes), cryptographic protocol design, and machine learning privacy frameworks. Current projects focus on secure processors with hardware-enforced isolation and differential privacy optimization.

• Computer Security
• Cryptography
• Secure Processor Design
• +7 more

Tanja Vos is a Full Professor at the Faculty of Science , Department of Computer Science , specializing in Software Testing , Automated Testing , and Behavior-Driven Development (BDD) . Her work extends to Gamification in Education and Artificial Intelligence (AI) in Learning Systems . Research Program: Towards High-quality and Intelligent Systems (THIS) Active in Graphical User Interface (GUI) Analysis and Test Automation Research Interests : Vos focuses on advancing software testing methodologies through AI-driven solutions , particularly in 3D game testing , chatbot applications , and gamified educational platforms . Her work bridges theoretical research with industrial implementation . Recent Article Trends : Her publications emphasize automated testing frameworks (e.g., iv4XR ), GUI regression analysis , and AI chatbots for personalized learning . Subfields include evolutionary algorithms , dynamic interface testing , and gamification mechanics . Supervision & Collaboration : Vos leads projects like TESTOMAT and AI Study Coach , collaborating with institutions such as Universidad Politecnica de Valencia .

• Software Testing
• Automated Testing
• Behavior-Driven Development (BDD)
• +3 more

Juseong Lee is an Assistant Professor at the Eindhoven University of Technology (TU/e), affiliated with the Department of Industrial Engineering and Innovation Sciences. His research focuses on integrating data-driven models and artificial intelligence into industrial processes, with a specific emphasis on predictive maintenance approaches for engineering systems. PhD in Aerospace Engineering from Delft University of Technology (2022) MSc and BSc in Aerospace Engineering from Korea Advanced Institute of Science and Technology (2018, 2016) His work employs methodologies such as digital twins, multi-objective optimization, and deep learning to enable real-time decision-making in business contexts. He aims to improve the reliability, efficiency, and sustainability of Industry 4.0 systems through his research. Recent publications highlight his expertise in predictive maintenance, with applications to aircraft systems, landing gear brakes, and turbofan engines. Key techniques include Gaussian process learning, adaptive sampling, deep reinforcement learning, and stochastic Petri nets. These studies often involve collaborations with researchers like Mihaela Mitici. Lee's research is supported by the European Union's Horizon 2020 program (Grant No. 769288). He teaches courses on quality and reliability engineering, maintenance optimization, and service logistics.

• Predictive Maintenance
• Industrial Engineering
• Artificial Intelligence
• +5 more

Dr. Jelle Aalbers is an Assistant Professor at the Faculty of Science and Engineering , University of Groningen, affiliated with the Van Swinderen Institute for Particle Physics and Gravitation and the Dark Matter research group. His work focuses on Weakly Interacting Massive Particles (WIMPs) , Neutrino Physics , and Gravitational Lensing . Research Interests: He explores Dark Matter detection via Liquid Xenon Detectors , Neutrinoless Double Beta Decay , and Low-Energy Particle Interactions . His contributions include Signal Reconstruction and Background Modeling in experiments like XENONnT and XLZD. Recent Publications: His 2025 work in Physical Review Letters and European Physical Journal C highlights advancements in Neutrino Fog Analysis , Neutron Veto Systems , and Ionization Signal Discrimination . Earlier studies (2023–2024) address Gravitational Lensing Inference and Dark Matter Constraints .

• Dark Matter
• Particle Physics
• Astrophysics
• +5 more

Fleur Bouwer is an Assistant Professor at the Cognitive Psychology Unit of Leiden University , affiliated with the Music Cognition Group and Amsterdam Music Lab . Her research bridges cognitive neuroscience and music perception , focusing on rhythmic behavior, auditory processing, and neural mechanisms of temporal expectations. PhD from University of Amsterdam (Music Cognition Group) Postdoc under Prof. Heleen Slagter Her work investigates how humans and non-human animals process rhythm through ERP studies , cross-species comparisons , and neural oscillation analysis . Recent publications include methodological guides for testing rhythmic abilities and neural distinctions between beat-based and pattern-based expectations. Key scientific recognition includes the NWO Veni Grant (2020) for rhythm perception research. Public outreach includes: Interactive platform Toontjehoger (KNAW Gewaardeerd! program) Amsterdam Dance Event explanations on NPO2 Atlas TV Children's lectures at NEMO Science Museum Media commentary in Volkskrant and RTL EditieNL She also explores applications in music therapy, examining interpersonal perception of musical significance through experimental participation programs.

• Cognitive Neuroscience
• Auditory Perception
• Music Rhythm
• +3 more

Mart Johan Deuzeman is a researcher at Hanze University of Applied Sciences, affiliated with the Sensors and Smart Systems Research Centre Biobased Economy. His work bridges experimental plasma physics and sensor technology development, with strong collaborative ties to Rijksuniversiteit Groningen's physics department. His research focuses on laser-matter interactions, particularly tin plasma generation for extreme ultraviolet light sources. Key areas include: Temporal characterization of ns/ps/fs laser-produced tin plasmas Ion energy distribution measurements Ablation depth analysis X-ray absorption spectroscopy of organic molecules Sensor network development for structural monitoring His work contributes to UN Sustainable Development Goals through applications in clean energy technology and sustainable infrastructure. Publications from 2014-2020 show consistent output in plasma physics journals, with increasing focus on applied sensor systems. His research demonstrates strong technical depth in experimental plasma diagnostics while expanding into biobased economy applications. Doctoral training was completed at Rijksuniversiteit Groningen in 2019 with thesis on tin ion generation. Current work integrates fundamental plasma research with practical sensor system development at Hanze University. Collaborative research dominates his publication record, with all significant works co-authored with Groningen-based physicists. The Sensequake project demonstrates applied engineering translation of his sensor expertise for civil infrastructure monitoring.

• Plasma Physics
• Laser Physics
• Ion Energy Distribution
• +4 more

Dr. Erik-Jan van Kesteren is an Assistant Professor in the Methodology and Statistics department at Utrecht University , where he leads the ODISSEI Social Data Science (SoDa) team. His work bridges statistical methodology with computational social science, with a focus on synthetic data, Bayesian inference, and open research infrastructure. Current research initiatives include: Developing privacy-preserving synthetic data frameworks Improving computational approaches to structural equation modeling Addressing geospatial sampling bias in volunteer-collected datasets Exploring text-based personality computing and language association tools He maintains the department's compute server infrastructure and contributes to open-source projects like ArtScraper and osmenrich. Contact via e.vankesteren1@uu.nl or erikjanvankesteren@pm.me

• Data Science
• Computational Social Science
• Bayesian Statistics
• +7 more

Monica Wijers is an Assistant Professor at the Faculty of Science , Utrecht University , specializing in Mathematics Education at the Freudenthal Institute. Her work focuses on intercultural learning, teacher professionalization, and innovative curriculum design for mathematics in secondary and vocational education. Positions: Assistant Professor, Graduate School of Teaching (GST) instructor Key projects: Wiskunde A-lympiade, RekenGroen modules, intercultural learning frameworks Contact: m.wijers@uu.nl , +31 6 81 835 971 Research Interests Monica integrates mathematics education with: Intercultural Competency Development Language-Integrated Mathematical Tasks Game-Based Learning Tools (RekenGroen, WiTje) Assessment Design for Collaborative Learning Professional Development for STEM Educators Curriculum Innovation for Vocational Education Publications Trends (2020-2023) Her recent work emphasizes collaborative problem-solving in mathematics through: Intercultural classroom activities Environmental sustainability contexts (waste management, urban heat) Language development in mathematical reasoning Team-based competitions (Wiskunde B-dag) Curriculum design for vocational mathematics Formative assessment strategies in MBO Teaching Activities Monica contributes to: Graduate School of Teaching programs National Mathematics Days (Nationale Rekendagen) Sprachbildung für das Mathematiklernen (Germany-Netherlands collaboration) Leveraging ratio tables across science disciplines

• Mathematics Education
• Intercultural Learning
• Teacher Training
• +6 more

Julian Quodbach is an Assistant Professor at the Division of Pharmaceutics , Utrecht Institute for Pharmaceutical Sciences ( Utrecht University ). He specializes in additive manufacturing (3D printing) for personalized medication and tablet disintegration phenomena . Education: PhD from Heinrich Heine University Düsseldorf Prior Positions: Postdoc at Uppsala University, research roles at Düsseldorf His research focuses on 3D printing for individual/small-batch medications , addressing challenges in process understanding , drug release , and clinical translation . He investigates tablet disintegration and pharmaceutical process optimization for personalized therapies . Recent publications analyze 3D printing applications across inflammatory bowel disease , parkinson's disease , and pediatric formulations , exploring machine learning and material science . Collaborations span Sweden , Germany , and Netherlands . He leads the Task Force Additive Manufacturing for APV e.V. and the Pharma3DPI workstream . His work addresses real-world challenges like process fluctuations , batch traceability , and tablet quality in additive manufacturing .

• Pharmaceutical Processes
• 3D Printing
• Drug Development
• +1 more

Corniek Post is a Promovendus (PhD candidate) at the University of Groningen's Faculty of Science and Engineering, affiliated with the Macromolecular Chemistry and New Polymeric Materials department. Their work focuses on sustainable polymer synthesis and characterization. University: University of Groningen School: Faculty of Science and Engineering Department: Macromolecular Chemistry and New Polymeric Materials Email: c.post@rug.nl Research Interests span biobased polymers, biodegradable materials, polymer synthesis techniques, and materials engineering. Their work aligns with UN Sustainable Development Goals, emphasizing eco-friendly polymer solutions. Publication Trends show specialization in: Biodegradable polyester amides and polyurethanes Bulk polymerization methods Hydrogen bonding in polymeric materials Rheological property analysis Renewable feedstock utilization (e.g., BHMF, starch) Self-healing material design Collaboration Network includes researchers like Dr. V.S.D. Voet, Prof. K. Loos, and teams focusing on sustainable polymer technologies.

• Polymer Science
• Chemical Engineering
• Sustainable Chemistry
• +3 more

Dr. ir. Fred W. Wubs is an Associate Professor of Numerical Mathematics at the University of Groningen's Faculty of Science and Engineering, specifically within the Bernoulli Institute for Mathematics and Computer Science. His research spans multiple disciplines connecting applied mathematics with real-world applications in biomechanics and climate science. Based at the Bernoulliborg (room 451) in Groningen, Netherlands, he maintains active research collaborations across engineering, medical, and environmental fields. Wubs' research interests focus on numerical methods development and application, with particular expertise in finite element analysis, bifurcation theory, and computational modeling of complex systems. His work bridges theoretical mathematics with practical applications, spanning from biomechanical analysis of mandibular fractures to ocean circulation modeling and climate system dynamics. His fingerprint analysis reveals strong contributions in matrix mathematics (100%), bifurcation analysis (81%), time-stepping methods (58%), factorization techniques (58%), and Jacobian matrix applications (52%). His publication record shows a clear dual trajectory: one stream applying numerical methods to biomedical problems (particularly mandible fracture mechanics and orthopedic implant design), and another focused on climate and ocean modeling (including ocean circulation, ice sheet dynamics, and Earth system modeling). This interdisciplinary approach demonstrates how fundamental numerical mathematics can address diverse challenges across seemingly unrelated fields. Wubs has supervised 5 research projects as indicated by his academic profile, though specific student names aren't provided in the available information. His work has been cited extensively, with some publications receiving over 25 citations in Scopus. His research appears in high-impact journals including Scientific Reports, Journal of Advances in Modeling Earth Systems, and Journal of Computational Physics. He maintains active laboratory work in numerical simulation, with recent publications indicating ongoing projects in biomechanical testing validation using 3D printed models and advanced computational techniques for ocean and climate modeling. His work on physics-controlled echo state networks represents an innovative integration of machine learning with traditional numerical methods.

• Numerical Mathematics
• Finite Element Analysis
• Bifurcation Analysis
• +5 more

Shahla Romal is a Researcher at Erasmus MC specializing in organoid-based disease modeling. Her work spans oncology, virology, and infectious disease research with significant contributions to bladder cancer, hepatitis B, and malaria pathogenesis studies. Her research focuses on advanced organoid platforms for disease modeling and drug discovery. Key interests include developing patient-derived tumoroid systems for bladder cancer, hepatitis B virus infection models using human liver organoids, and 3D platforms for malaria liver-stage research . Her work bridges translational medicine and molecular therapeutics, with emphasis on identifying novel drug targets and optimizing culture methodologies. Analysis of her publication record (2022-2025) reveals strong focus on organoid technology applications across multiple disease contexts. Her research demonstrates consistent innovation in in vitro infection modeling (hepatitis B, malaria), cancer therapeutic target identification (bladder cancer), and methodological optimization for organoid culture systems. The work shows significant interdisciplinary collaboration across virology, oncology, and pharmacology domains. Her research has received attention through 10 news outlets , 24 social media mentions (including X and Bluesky), and engagement from 28 Mendeley readers , indicating substantial scientific impact. Romal actively collaborates on grant-funded research in organoid technology development and disease modeling, with recent work supported through institutional and likely national funding mechanisms focused on translational medical research. Her laboratory environment centers on advanced 3D tissue culture platforms and molecular analysis of disease mechanisms using patient-derived models.

• Organoid Research
• Hepatitis B
• Bladder Cancer
• +4 more

Hans van Dommelen is Associate Professor of Micromechanics at Eindhoven University of Technology (TU/e), Department of Mechanical Engineering, where he leads the Group Van Dommelen . His research couples microstructure to mechanical and functional behaviour of materials spanning nuclear fusion, additive manufacturing, polymers, and biomechanics. Education PhD in Mechanical Engineering, TU/e (2003) – Micromechanics of particle-modified semicrystalline polymers Visiting researcher, MIT (1999–2000), University of Virginia (2003–2004), and Cambridge University (2010–2012) Research Interests Van Dommelen’s work focuses on multi-scale mechanics and structure–property relationships . Using microstructural modelling and homogenization techniques, he links phenomena at the microscale to macroscopic response in: Crystalline and heterogeneous materials Nuclear fusion reactor materials (tungsten, liquid-metal shields) Additive manufacturing (wire-arc, selective laser sintering, vat photopolymerization) Semi-crystalline polymers and short-fiber composites Traumatic brain injury biomechanics Scientific Output He has authored over 230 peer-reviewed publications (h-index > 40) in leading journals such as Journal of the Mechanics and Physics of Solids , Biomechanics and Modeling in Mechanobiology , Nuclear Fusion , and Additive Manufacturing . Recent trends include viscoelastic-viscoplastic metamaterials, anisotropic food printing, recrystallization kinetics of tungsten under fusion loads, and multiscale fracture of additively manufactured metals. Teaching & Supervision Van Dommelen coordinates and lectures in: Structure and Properties of Materials Computational and Experimental Micro-mechanics Fusion Reactor Materials and Plasma-Wall Interaction He has supervised >85 MSc and PhD theses to date. Laboratory & Collaborations He heads the Group Van Dommelen within the Mechanics of Materials section, maintaining strong collaborations with DIFFER, ITER, and international partners on liquid-metal technologies for fusion blankets and advanced additive manufacturing processes.

• Micromechanics
• Multi-scale mechanics
• Structure–property relations
• +7 more