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Prof. Khalil Sima'an serves as Professor of Computational Linguistics and Vice Director of Education at the Institute for Logic, Language and Computation (ILLC), University of Amsterdam, within the Faculty of Science. He joined as Assistant Professor in 2003, advanced to Associate Professor in 2011, and attained Full Professorship in 2014. His academic foundation includes a PhD in Computational Linguistics from Utrecht University, establishing his expertise in formal language modeling. Prof. Sima'an's research drives innovation in Computational Linguistics through rigorous exploration of syntactic structures, semantic processing, and machine translation systems. His work bridges theoretical frameworks with practical NLP applications, particularly in parsing technologies and multilingual processing, positioning him as a key contributor to European language technology initiatives. His distinguished recognition includes: Royal Netherlands Academy for Arts and Sciences (KNAW) Fellowship NWO Vidi Grant (2006) for pioneering early-career research NWO Vici Grant (2013) for groundbreaking senior research leadership He actively shapes the field through editorial stewardship of Machine Translation and Journal of Natural Language Engineering , alongside pivotal conference roles including MT Summit XIV Chair (2013) and ACL 2010 area chair for syntax/parsing. As core faculty in the Natural Language Processing & Digital Humanities (NLP&DH) research group, he advances collaborative projects integrating computational methods with humanities scholarship at LAB42's interdisciplinary hub.

• Computational Linguistics
• Natural Language Processing
• Machine Translation
• +3 more

Professor Michael Burke holds a full professorship in Rhetoric at Utrecht University (Faculty of Humanities) and teaches at University College Roosevelt (UCR) in Middelburg. Previously, he served as UU Honours Dean (2016–2021). His research focuses on rhetoric, stylistics, cognitive aspects of language, and education. He earned his Ph.D. in English Language and Literature from the University of Amsterdam, where he also completed his undergraduate studies. Research interests span written, oral, and digital rhetoric, emphasizing pedagogical, cognitive, stylistic, and neuroscientific dimensions. He has held visiting roles at institutions like the University of Cambridge and University of Bologna. Editorial roles include series editor for Routledge’s 'Research Monographs in Linguistics' and board memberships with journals like Language and Literature . Teaching includes undergraduate courses on classical rhetoric, argumentation, and public speaking at UCR, plus leadership and interdisciplinary research modules for Utrecht’s Honours College. He supervises PhD students in the UiL-OTS linguistics research school. Notable publications include The Routledge Handbook of Stylistics (2023) and studies on critical thinking, digital literacy, and cognitive literary science. Professional activities include keynote speaking at conferences like PCST and EARS, and contributions to projects such as ‘Undergraduate Research in the Netherlands’. His work bridges rhetoric, cognitive science, and education, emphasizing practical applications for students and educators.

• Rhetoric
• Stylistics
• Cognitive Linguistics
• +5 more

Ibo van de Poel is a Full Professor at Delft University of Technology , within the Faculty of Technology, Policy and Management , specifically in the Section Philosophy . He holds the prestigious Antoni van Leeuwenhoek professorship , awarded to excellent young researchers, and is a leading figure in Design for Values , engineering ethics , and technology as social experimentation . Education: Van de Poel studied Philosophy of Science, Technology and Society at the University of Twente , with a propaedeutic exam in Mechanical Engineering . He earned his PhD in Science and Technology Studies (STS) in 1998 from the University of Twente , under the supervision of Prof. Dr. A. Rip. Research Interests: His research spans three major themes: Design for Values : Investigating how moral values can be integrated into engineering design, including empirical studies on how engineers handle value conflicts. Moral Responsibility in R&D Networks : Exploring the "problem of many hands" in large-scale research and development projects, developing formalizations and empirical methods. Ethics of Emerging Technologies : Examining ethical issues in new technologies like nanotechnology and synthetic biology , with a focus on technology as social experimentation . Publications and Impact: Van de Poel has authored over 25 international peer-reviewed articles and 15 book contributions . He is co-editor of major works including the Handbook of Philosophy of Technology and the Engineering Sciences (Elsevier, 2009), Philosophy and Engineering (Springer, 2010), and Ethics, Engineering and Technology (Wiley-Blackwell, 2011). His recent work includes leading the VICI project "New Technologies as Social Experiments" , funded by NWO. Scientific Awards: Antoni van Leeuwenhoek Professorship (TU Delft) VICI Grant for "New Technologies as Social Experiments: Conditions for Morally Responsible Experimentation" Advising and Grants: Van de Poel has led and contributed to multiple high-impact projects, including: NWO Project on "Moral Responsibility in R&D Networks" (2007–2012) EU Project on ethical issues in synthetic biology (2009–2011) VICI Project on "New Technologies as Social Experiments" (ongoing) He has also supervised PhD students and contributed to educational innovations, including the development of the AGORA web-based program and the first Dutch textbook on ethics and technology . Labs and Teams: Van de Poel is an active member of 4TU.Ethics & Technology , a federation of Dutch technical universities focused on ethics and technology. He contributes to the Simon Stevin Series in the Ethics of Technology and participates in various reading groups and PhD communities within the network.

• Design for Values
• Engineering Ethics
• Moral Responsibility in R&D Networks
• +3 more

Hyosang Lee is an Assistant Professor in the Robotics Section of the Mechanical Engineering Department at Eindhoven University of Technology (TU/e). He holds a PhD from KAIST and has held research positions at the Max Planck Institute and University of Stuttgart. His work focuses on tactile sensing technologies, including artificial skin development, soft robotics, and integration of sensory systems with AI. Bachelor's: Mechanical Engineering, Korea University Master's: Robotics and Mechanical Engineering (double major) PhD: Mechanical Engineering, KAIST (2017) Research interests span tactile sensor design, electrical impedance tomography (EIT), and human-robot interaction. His group emphasizes creating scalable, flexible tactile systems for robots. Recent work includes air pressure sensing for force estimation and biomimetic skin materials. Publications highlight innovations in multi-directional force sensing, soft component technologies, and haptic interfaces for autism therapy. He teaches 'Dynamics and Control of Robotic Systems' and serves on the editorial board of npj Robotics . No formal student advisees are listed, though his lab, the Tactile Sensing and Robotic Skin Group , likely involves graduate researchers. His research contributes to UN Sustainable Development Goals related to health and technology.

• Tactile Sensing
• Robotics
• Soft Robotics
• +4 more

Dr. Sander Los is an Associate Professor at the Faculty of Behavioural and Movement Sciences (Department of Cognitive Psychology), Vrije Universiteit Amsterdam. He earned his PhD in 1994 with a thesis on 'On the origin of mixing costs: Exploring information processing in pure and mixed blocks of trials' under Prof. Andries Sanders. His research focuses on temporal dynamics of preparatory processes, co-developing the formalized Multiple Trace Theory (fMTP) to explain temporal preparation across time scales (seconds to days). His work integrates cognitive psychology, neuroscience, and computational modeling to explore attentional mechanisms, statistical learning, and spatiotemporal dynamics. Education: PhD in Cognitive Psychology (VU Amsterdam, 1994), postdoctoral research at VU Amsterdam, progressing to Assistant Professor before his current role. Key research areas include visual attention, response inhibition, and long-term memory. He has published over 40 peer-reviewed articles and serves on editorial boards for journals like Attention, Perception, and Psychophysics and Acta Psychologica . Research Interests: His studies investigate how humans prepare for upcoming events temporally and spatially, with recent work on statistical learning guiding visual attention and computational frameworks for temporal preparation. Collaborations emphasize interdisciplinary approaches to understanding attention allocation and neural underpinnings of timing. Grants & Advising: No explicit grants listed, but active in training students (1 supervised PhD thesis). His courses include Methodology, Research Methods, and Practical Skills for Researchers at VU Amsterdam. Labs/Teams: Works closely with colleagues on the fMTP model and statistical learning projects, emphasizing team-based computational and experimental psychology.

• Temporal Dynamics
• Cognitive Psychology
• Visual Attention
• +6 more

Anne Margriet Pot is an endowed professor at the Erasmus School of Health Policy & Management (ESHPM), Erasmus University Rotterdam, with a focus on Health Care Governance. She also holds the position of extraordinary professor at Optentia, North West University, South Africa. Additionally, she serves as a strategic advisor for Long-Term Care at the Health and Youth Care Inspectorate, Ministry of Health, the Netherlands, and is President-elect of the International Psychogeriatric Association. She co-chairs the Lancet Commission on Long-Term Care for Older Persons and has advised the World Health Organization (2014–2018). Her research is deeply rooted in improving the mental health and quality of life of older adults, particularly through innovations in long-term care. Key areas include the measurement of care quality, development of technology-based interventions for mental well-being, and the use of narrative methods in care regulation. Her work significantly contributes to the UN Sustainable Development Goals, especially those related to health and well-being. The most recent publications highlight a strong trend toward meta-analytic and scoping review methodologies, focusing on subthreshold depression interventions, narrative approaches in youth and elderly care, and inclusive regulatory frameworks. These works reflect a shift toward evidence synthesis and policy-oriented research with global applicability. President-elect, International Psychogeriatric Association Co-chair, The Lancet Commission on Long-Term Care for Older Persons Strategic Advisor, Long-Term Care, Health and Youth Care Inspectorate, Netherlands Former Advisor, World Health Organization (2014–2018) She has authored over 235 publications, including the influential Dutch Manual on Geropsychology and a recent book on caregiver dilemmas. She is currently establishing a research program on person-centred and integrated long-term care regulation at ESHPM. Her work bridges clinical psychology, health policy, and public governance, with strong international collaborations, particularly in Africa and through global health initiatives. While no formal students are listed, her leadership in large-scale research projects suggests mentorship and team-based research training. She is actively involved in multiple research networks and has contributed to policy development at national and international levels. Her interdisciplinary approach integrates psychology, public health, and narrative ethics to transform long-term care systems.

• Geropsychology
• Long-Term Care
• Mental Health of Older Adults
• +7 more

Nezihe Merve Gürel is an Assistant Professor in Computer Science at Delft University of Technology (TU Delft), affiliated with the Pattern Recognition & Bioinformatics Group within the Intelligent Systems Department of the Faculty of Electrical Engineering, Mathematics and Computer Science. Her research focuses on developing robust, reliable, and efficient machine learning methods with enhanced reasoning capabilities, bridging theoretical rigor and practical applications. She emphasizes data-centric approaches to improve ML systems. Education: PhD in Computer Science from ETH Zurich, MSc from EPFL (Switzerland). Research Interests: ML robustness, reliability, reasoning, data-centric ML, federated learning, and explainable AI. Her recent work includes certified robustness for retrieval-augmented models and time-efficient learning algorithms. She has contributed to the Journal of Data-centric Machine Learning Research as an executive editor and served as a reviewer for top ML conferences (NeurIPS, ICML, ICLR). She previously held roles at IBM Research, Stanford University's Human-Centered AI Lab, and Westlake Institute for Advanced Study. Her awards include the Generation Google Scholarship and Cisco Research Funding . Scientific Awards : Generation Google Scholarship (2021) Cisco Research Center University Funding Labs & Teams : She leads research in the Pattern Recognition Laboratory at TU Delft and collaborates with international institutions like Stanford and Westlake Institute for Advanced Study.

• Machine Learning
• Computer Science
• Pattern Recognition
• +4 more

Dr. Yuemei Lin is an Associate Professor in the Department of Biotechnology at the Faculty of Applied Sciences, Delft University of Technology (TU Delft). Her work is centered within the Environmental Biotechnology research section, where she leads the Yuemei Lin Group. She is actively involved in research and teaching related to sustainable resource recovery and biobased materials. Her research focuses on the extraction and characterization of extracellular polymeric substances (EPS) from microbial aggregates such as flocculent sludge, granular sludge, and biofilms. She investigates the role of EPS in aggregate formation and reactor performance, and explores the recovery of EPS from waste sludge for conversion into valuable biobased materials. This work aligns with the transition toward a circular economy. Dr. Lin teaches the course Biobased Materials in a Circular Economy and contributes to the Minor Sustainable Chemistry and Biotechnology in collaboration with Leiden University. Her recent publications (2024–2025) reflect a strong focus on EPS composition, extraction methods, thermal stability, hydrogel properties, and industrial applications, particularly in wastewater treatment contexts. Research Themes: EPS, biopolymers, wastewater valorization, circular economy, microbial aggregates. Applications: Kaumera development, sustainable materials, resource recovery. Scientific Awards: Zilveren Zandloper Innovation Award (2019) Aquatech Innovation Award for Kaumera (2019) Water Innovation Award 2013 (TU Delft and partners) Dr. Lin has secured funding through programs such as NWO’s Open Technology Program and Take-off, demonstrating strong grant acquisition. She collaborates extensively with leading researchers including Prof. Mark C.M. van Loosdrecht. While no formal advisees are listed, her role in teaching and group leadership indicates active student supervision. Her work is closely tied to applied research initiatives and industrial implementation, particularly through the development of the Kaumera biopolymer from wastewater sludge.

• Environmental Biotechnology
• Extracellular Polymeric Substances (EPS)
• Wastewater Treatment
• +7 more

Maurice Heemels is a Full Professor at Eindhoven University of Technology (TU/e), leading the Control Systems Technology group. He holds additional professorships in EAISI Mobility, EAISI Foundational, EAISI Health, and EAISI High Tech Systems. His research focuses on hybrid and networked systems, emphasizing resource-aware control, event-triggered strategies, and cyber-physical systems integration. He is an IEEE Fellow and chairs the IFAC Technical Committee on Networked Systems. Academic Background: MSc and PhD in Mathematics (TU/e, 1995 and 1999, both summa cum laude ) Visiting Professorships: ETH Zurich (2001), UC Santa Barbara (2008) Industry Experience: Research & Development at Océ NV Research Interests: Hybrid Systems, Networked Control, Event-Triggered Control Model Predictive Control (MPC) in healthcare and high-tech systems Cyber-Physical Systems for applications like lithography and precision agriculture Key Contributions: Developed Hybrid Integrator-Gain (HIGS) systems and Projection-Based Control methodologies Recipient of a VICI Grant for wireless control systems research Oversaw over €7M in research funding from NWO, EU, and industry Awards & Recognition: Automatica Outstanding Service Award (2014) Best Paper Awards (EBCCSP 2017, etc.) Invited Keynote Speaker at ECC, CDC, and others Grants & Projects: Current Projects: COMEDI (Cost-effective Mechatronics), PROACTHIS (Projection-based Control) Past Projects: Fault Detection in Wafer Scanners, Drone-based Farming Labs & Teams: Active in TU/e’s Cyber-Physical Systems and Systems Engineering research groups, collaborating globally on nonsmooth dynamics and hybrid systems.

• Hybrid Systems
• Networked Control Systems
• Event-Triggered Control
• +7 more

Dr. Farhad Merchant is an Assistant Professor of Innovative Computer Architecture at the Bernoulli Institute, University of Groningen, since July 2024. Previously, he served as a Lecturer (Assistant Professor) at Newcastle University (2022–2024) and held research roles at Bosch Research, NTU, and RWTH Aachen University. His research focuses on emerging technology-based computing and hardware-oriented security, including neuromorphic architectures, in-memory computing, and secure hardware design. Education: PhD in Electronics Engineering from the Indian Institute of Science, Bangalore, with a DAAD-funded visit to RWTH Aachen University. He also holds industry experience from Bosch Research. Research Interests : - Hardware Security - Neuromorphic Computing - Algorithm-Architecture Co-design - Reconfigurable Computing - Computer Arithmetic Projects : - Coordinator for the REACT project (2025–2029): Focuses on self-aware neuromorphic architectures. - Principal Investigator for Privacy-Preserving Computer Architectures (CogniGron, 2025–2029). - Completed BioNanoLock project (DFG-funded, focusing on bio-nanoelectronic security). Awards : - Best Paper Awards at ISQED 2022, NEWCAS 2023, and VLSI-DAT 2024. - Minerva Fellowship (Technion, Israel), HiPEAC Technology Transfer Award (2019). He co-founded the SeHAS workshop (since 2019) and serves on editorial and program committees for major conferences like DAC, ISLPED, and VLSI-SoC.

• Hardware Security
• Neuromorphic Computing
• Algorithm-Architecture Co-design
• +3 more

Herman Bruyninckx is a Part-Time Full Professor at Eindhoven University of Technology (TU/e) in the Mechanical Engineering department, specifically within the Control Systems Technology group and EAISI High Tech Systems initiative. He also serves as a professor (Hoogleraar) at KU Leuven in Belgium. Academic focus on robotics, control systems, and multi-agent coordination Active research in model predictive control , semantic mapping , and dynamic constraint algorithms Recent publications address industrial automation , agro-food robotics , and haptic technology Research Highlights : Developed hybrid decision-making frameworks for multi-agent navigation Innovated swing-free control methods for robotic pick-and-place operations Formulated constrained dynamics algorithms with LQR-Gauss principle integration Created ExoTen-Glove for haptic feedback in virtual environments Collaborative Projects : Coordinated with researchers like René van de Molengraft , Elena Torta , and Koen de Vos Contributed to NWO/TTW FlexCRAFT project for cognitive robotics in agro-food technology

• Robotics
• Control Systems
• Multi-Agent Systems
• +6 more

Rodrigo Otoni is an Assistant Professor at the University of Groningen's Faculty of Science and Engineering, affiliated with the Bernoulli Institute for Mathematics, Computer Science, and Artificial Intelligence. His research focuses on automated reasoning for verification, synthesis, and certification in computer science. He leads initiatives in formal methods for distributed systems and maintains active profiles on GitHub and LinkedIn. Research Interests: Specializes in theoretical computer science foundations with applied work in model checking and formal verification. Key areas include: Automated theorem proving for system certification Formal specification of distributed protocols Rigorous verification methodologies for concurrent systems

• Automated Reasoning
• Formal Methods
• Model Checking
• +2 more

Dr. Anindya Ghosh is an Associate Professor at Tilburg University’s Tilburg School of Economics and Management (TiSEM), specifically in the Department of Strategy and Entrepreneurship. His research focuses on Technology Innovation, Strategy and Entrepreneurship, Collaboration, Competition & Cognition, and Applied Machine Learning, with industry expertise in Imaging, Semiconductors, Wireless, Pharmaceuticals, AI, and Venture Capital. He holds a PhD from the Wharton School (2011) and has held academic roles at the Indian School of Business (2015–2018) and IESE Business School (2011–2015). His work explores themes such as technology sourcing dynamics, ecosystem governance via standards-setting, and alliance management. Recent studies address how firms navigate external technology sourcing preferences, shape ecosystem rules through complementarities, and resolve conflicts during multi-firm coordination. He has also contributed to debates on generalizability of archival-based research findings in strategic management. His research employs mixed methods, including computational analysis of standards-setting interactions and longitudinal alliance data. While no formal grants or labs are listed, his affiliations with TiSEM and collaborations with institutions like the Indian Institute of Technology underscore his interdisciplinary reach.

• Technology Innovation
• Strategy and Entrepreneurship
• Collaboration, Competition & Cognition
• +7 more

Geoffrey Nelissen is an Assistant Professor in the Department of Mathematics and Computer Science at Eindhoven University of Technology. He holds additional roles as a Research Scientist and Investigador Auxiliar at INESC TEC (Portugal), contributing to interdisciplinary research in real-time systems. His work focuses on schedulability analysis, parallel task execution, and real-time communication protocols, with applications in embedded systems and multicore architectures. Research Interests: Real-Time Scheduling Response Time Analysis Multi-core and Parallel Systems Time-Sensitive Networking (TSN) Formal Verification Recent work emphasizes schedule abstraction frameworks, memory contention analysis, and deterministic communication protocols. His research has received recognition through multiple best paper awards including ICESS 2021 and RTAS 2022. He actively contributes to conferences like RTSS and ECRTS while teaching courses on Real-Time Systems and Operating Systems. Collaborations span European institutions with focus on embedded systems, autonomous driving, and safety-critical applications. Current projects explore holistic approaches to WCRT analysis and resilient real-time communication architectures.

• Real-Time Systems
• Schedulability Analysis
• Multicore Platforms
• +3 more

Sara Magliacane is an Assistant Professor at the University of Amsterdam , affiliated with the Amsterdam Machine Learning Lab (AMLab) and the Informatics Institute . She also holds a Research Scientist position at the MIT-IBM Watson AI Lab and has been an ELLIS Scholar since 2022. Education PhD in Artificial Intelligence (2017), VU Amsterdam MSc in Computer Engineering (2011), Politecnico di Milano BSc in Computer Engineering (2008), Università degli Studi di Trieste Research Focus : At the intersection of Causality and Machine Learning , her work addresses Causal Representation Learning from high-dimensional data (images, sequences) Causal Discovery in latent confounder scenarios Causality-inspired Reinforcement Learning for robustness and adaptability Neurosymbolic AI for theoretical guarantees Publication Trends : Her recent work explores Factored adaptation in non-stationary environments (NeurIPS 2022) Temporal causal identifiability (ICML 2022) Binary interaction-based causal discovery (UAI 2023) Safe exploration in visual RL (HSCC 2021) Structure learning lower bounds (NeurIPS 2020) Scientific Recognition : ELLIS Scholar (2022–present) Spotlight presentations at ICML 2022 and ICLR 2022 Advising & Collaborations : Currently supervising 6 PhD students at the University of Amsterdam and AUMC, with 12 alumni advisees. Collaborates with researchers at MIT-IBM Watson AI Lab, Simons Institute, and TUM.

• Causality
• Causal Representation Learning
• Causality-inspired Machine Learning
• +4 more