جست‌وجوی استاد و پژوهشگر

Raquel Fernándezمشاهده پروفایل

استاد

• Computational Linguistics
• Dialogue Systems
• Cognitive Science
• +۳ مورد دیگر

Raquel Fernández is Full Professor of Computational Linguistics and Dialogue Systems at the University of Amsterdam, where she leads the Dialogue Modelling Group at the Institute for Logic, Language & Computation (ILLC). As Vice-Director for Research at ILLC and a Fellow of the ELLIS Society, she bridges computational linguistics, cognitive science, and artificial intelligence through her research on language use in multimodal and conversational contexts. PhD in Computational Linguistics from King's College London Prior research positions at University of Potsdam and Stanford University's CSLI Her work explores how cognitive constraints, social interaction, and perception shape language use, with a focus on: Visually-grounded language processing Multimodal dialogue modeling Model uncertainty and calibration Language grounding in multimodal data Language learning and semantic change Dialogue reference resolution Recent publications analyze multimodal reasoning limitations, cross-lingual knowledge consistency, and uncertainty modeling in dialogue systems. She has received multiple accolades including an ERC Consolidator Grant , NWO VENI/VIDI/Aspasia fellowships , and EMNLP/GenBench awards . Outstanding Paper Award (EMNLP 2023) Best Data Award (GenBench Workshop 2023) ELLIS Society Fellow ERC Consolidator Grant #819455 recipient NWO VENI/VIDI/Aspasia awardee As a leader in academic service, she serves on the SIGDAT Executive Committee and chairs multiple conference committees. Her lab develops models for multimodal dialogue, visual storytelling, and grounded language understanding.

• Evolutionary Computation
• Machine Learning
• Natural Computing
• +۵ مورد دیگر

Thomas Bäck is a Professor at the Leiden Institute of Advanced Computer Science (LIACS) , Leiden University , Netherlands, and a member of the interdisciplinary programme Society, Artificial Intelligence and Life Sciences (SAILS) . His academic career spans roles at Leiden University (1996–present) and leadership positions at the Center for Applied Systems Analysis in Dortmund (1994–2000). Education : Diplom-Informatiker (Computer Science), Technische Universität Dortmund (1990) Dr. rer. nat. (Computer Science), Technische Universität Dortmund (1994) Research Interests : Dr. Bäck specializes in evolutionary computation , machine learning , and their applications in sustainable smart industry and healthcare . Recent work focuses on integrating large language models (LLMs) and quantum computing into optimization frameworks, with projects like CIMPLO (predictive maintenance), ECOLE (experience-based optimization), and SAPPAO (airline operations optimization). Scientific Contributions : His 526+ publications cover evolutionary algorithms, quantum optimization, and LLM-driven design, with recent trends including: Quantum computing (e.g., quantum approximate optimization, quantum advantage challenges) LLM integration (e.g., hyperparameter tuning, mutation control, code evolution graphs) Healthcare and industry (e.g., predictive maintenance, anomaly detection, melt quality prediction) Algorithm benchmarking (e.g., IOHprofiler, MA-BBOB, explainable benchmarking) Scientific Awards : IEEE Fellow (2022) Royal Netherlands Academy of Arts and Sciences (KNAW) member (2021) Academia Europaea member (2022) IEEE Computational Intelligence Society Evolutionary Computation Pioneer Award (2015) Fellow, International Society of Genetic and Evolutionary Computation (2003) Best Ph.D. thesis award, German Society of Computer Science (GI) (1995) Advising and Grants : He supervises Ph.D. candidates in evolutionary computation and machine learning and has secured 7 major grants from organizations like the Dutch Research Council , European Commission , and The Research Council of Norway . His editorial roles include Editor-in-Chief of the Evolutionary Computation Journal and associate editorships in leading AI journals.

Vedran Dunjkoمشاهده پروفایل

استاد

• Quantum Computing
• Quantum Machine Learning
• Quantum Artificial Intelligence
• +۷ مورد دیگر

Professor Vedran Dunjko is a faculty member at the Leiden Institute of Advanced Computer Science (LIACS), Leiden University, with affiliations to the Leiden Institute of Physics (LION). He leads the Applied Quantum Algorithms group and co-founded the Quantum@LIACS initiative, focusing on the intersection of quantum computing, machine learning, and artificial intelligence. His research interests include quantum machine learning, quantum-enhanced reinforcement learning, quantum heuristics, and the application of AI to quantum computing challenges. Dunjko's work bridges theoretical foundations with experimental implementations on near-term quantum devices, exploring both quantum advantages in learning and the use of classical AI for quantum system design. The recent publications show a strong trend toward proving quantum advantages in learning tasks, optimization, and topological data analysis, with publications in Nature , Nature Communications , and NeurIPS . Key themes include quantum policy gradients, quantum TDA, and reinforcement learning for quantum circuit optimization. ERC Consolidator Grant (2024) PNAS Cozzarelli Prize (2018) Editor’s Suggestion in Physical Review Letters (2014, 2018) Featured in Physics (American Physical Society) (2014, 2018) Dunjko advises several PhD candidates and postdocs, including Rahul Bandyopadhyay, Sofiene Jerbi, and Lea Trenkwalder. He has received competitive grants, most notably the ERC Consolidator Grant in 2024. His group fosters international collaborations with institutions across Europe and industry partners. The Applied Quantum Algorithms group and the Quantum@LIACS team combine theoretical investigations with practical implementations on quantum hardware, focusing on scalable quantum algorithms and AI-driven quantum discovery.

Ivana Nikoloskaمشاهده پروفایل

استادیار

• Machine Learning
• Quantum Computing
• Communication Engineering
• +۷ مورد دیگر

Ivana Nikoloska is an Assistant Professor at the Department of Electrical Engineering, Eindhoven University of Technology (TU/e). She is affiliated with the Center for Quantum Materials and Technology Eindhoven and BIASlab (Bayesian Intelligence and Stochastic Agents Lab). Her academic career includes prior roles as a Research Associate at King’s College London and a Visiting Researcher at Aalborg University. PhD: Monash University, Australia (2023) MSc & Dipl.-Ing.: University of Ss. Cyril and Methodius, North Macedonia Research Interests span foundational and applied machine learning, quantum computing, and information/communication engineering. Her work focuses on integrating Bayesian inference, variational methods, and quantum technologies for tasks like signal processing, channel estimation, and power control optimization. Quantum Machine Learning Bayesian Simulation-Based Inference Meta-learning for Wireless Systems Hybrid Quantum-Classical Architectures Stochastic Signal Processing Quantum Sensing & Metrology Notable Trends in Publications include quantum recurrent neural networks with adaptive gating, Bayesian frameworks for quantum sensing, and meta-learning applications in communication systems. She explores variational inference for planning and robust algorithms for channel estimation under non-ideal conditions.

Frank Willemsمشاهده پروفایل

استاد

• Control Systems
• Automotive Engineering
• Powertrain Control
• +۵ مورد دیگر

Frank Willems is a Full Professor of Systems and Control Technology and Chair of Integrated Powertrain Control at Eindhoven University of Technology (TU/e), holding a part-time position realized with support from TNO. He is affiliated with the Control Systems Technology group within the Department of Mechanical Engineering, and also contributes to EIRES and EAISI research initiatives. Dr. Willems obtained his MSc (1995) and PhD (2000) in Mechanical Engineering from Eindhoven University of Technology (TU/e). His academic journey continued with a position at TNO Automotive, where he currently serves as a principal scientist in powertrain control. Professor Willems' research focuses on developing optimal and robust control methods for automotive powertrain systems. His work addresses the critical challenge of integrating energy and emission management strategies at the powertrain system level, which is essential as traditional methods become infeasible due to increasingly strict environmental regulations. Key research areas include control-oriented modeling of internal combustion engines, cylinder pressure-based combustion control, and integrated energy and emission management. His research aims to minimize development time and costs through model-based control methods, with the ultimate goal of achieving auto-calibration where powertrain energy efficiency is optimized online using smart sensors and route information. Dr. Willems serves as an Associate Editor for Control Engineering Practice and is an active member of the IFAC Technical Committee Automotive Control. He has participated in numerous international program committees for conferences including the IFAC Conference on 'Engine and Powertrain Control, Simulation and Modeling (E-CoSM)', IFAC Symposium 'Advances in Automotive Control (AAC)', and 'Symposium for Combustion Control (SCC)'. His research has been supported by organizations including the Dutch Technology Foundation (STW) and DENSO Japan. At TU/e, Professor Willems teaches courses on 'Optimal control and reinforcement learning' and 'Advanced control for future heavy-duty powertrains.' His research group, part of the Control Systems Technology group, focuses on developing self-learning powertrain control systems to address the complexity and diversity of future ultra-clean and efficient vehicles.

• Tomography
• Computational Imaging
• Computer Science
• +۵ مورد دیگر

Joost Batenburg is a Professor at Leiden Institute of Advanced Computer Science (LIACS) , with a chair in Imaging and Visualization . He is affiliated with the Centrum Wiskunde & Informatica (CWI) and serves as Program Director for the interdisciplinary Society, Artificial Intelligence and Life Sciences (SAILS) initiative. His research focuses on tomographic image processing and reconstruction , where he has published over 80 journal articles and 60 conference papers. Current projects include Universal Three-dimensiOnal Passport for process Individualization in Agriculture (UTOPIA) and Center for Optimal, Real-Time Machine Studies of the Explosive Universe (CORTEX) , both funded by NWO grants. He leads the FleX-Ray Lab , a custom CT system integrated with advanced data processing algorithms. His research spans discrete tomography , real-time imaging pipelines , and AI-enhanced reconstruction methods , with applications in industrial inspection, agricultural analysis, and cultural heritage conservation. Recent articles demonstrate novel approaches to: Single-shot dynamic object tomography using level-set methods and motion modeling X-ray scattering quantification for defect detection in real-time systems Cross-modal image registration between CT scans and physical photographs Auto-differentiation in CT workflows combining classical and machine learning algorithms Scientific Awards: Dutch Award for ICT Research (2018) C.J. Kok Prize (2007) Philips Mathematics Prize (2006) He has supervised numerous PhD candidates including Mary Go, Eani Lachmansingh, and Zhichao Zhong, while maintaining editorial roles at IEEE Transactions on Computational Imaging and Journal of Mathematical Imaging and Vision . His work bridges theoretical mathematics with practical applications in agriculture, industry, and art conservation.

Ashish Cherukuriمشاهده پروفایل

دانشیار

• Optimization
• Control Systems
• Multi-agent Systems
• +۷ مورد دیگر

Ashish Cherukuri is an Associate Professor at the University of Groningen's Faculty of Science and Engineering, affiliated with the Optimization and Decision Systems group. His research focuses on optimization-based control, game theory, and multi-agent systems applied to energy, transportation, and robotics. He holds a Ph.D. from UC San Diego and postdoctoral experience at ETH Zurich. Education: Ph.D., University of California, San Diego (2012–2017) M.Sc., ETH Zurich (2008–2010) B.Tech, Indian Institute of Technology Delhi (2004–2008) Research Interests: Data-driven optimization, distributed algorithms, networked cyber-physical systems, and uncertainty handling in energy and transportation systems. Recent work emphasizes stochastic optimization, game-theoretic routing, and risk-aware control. Awards: Robert E. Skelton Dissertation Award (2017) Outstanding Graduate Student Award (2016) Focht-Powell Fellowship (2012–2015) Grants & Service: Editor for the IEEE Control Systems Society, organizer of Energy-Open 2019, and member of professional societies (IEEE, INFORMS, SIAM). Active in conference organization and academic leadership roles. Labs/Teams: Part of the Jan C. Willems Center for Systems and Control and the Engineering and Technology Institute Groningen (ENTEG). Research integrates theoretical advancements with practical applications in energy networks and smart systems.

• Sociolinguistics
• Phonetics
• Multilingualism
• +۵ مورد دیگر

Dr. Anne-France Pinget is an Assistant Professor in Linguistics at Utrecht University's Department of Languages, Literature and Communication, where she has been working since 2015. She is embedded within the Institute for Language Sciences (ILS) and holds an active position in the research domain of Language structure: variation and change. Her academic journey began with a PhD completed in 2015 on 'The Actuation of Sound Change,' supervised by Prof. Hans Van de Velde and Prof. René Kager, funded by an NWO doctoral scholarship. Her research spans three interconnected domains: sociolinguistics (sound change, imitation, language attitudes), sociophonetics, and language acquisition (acquisition of variation, language policy, fluency, accent, and attitudes). She has taught various courses primarily focused on Sociolinguistics at Utrecht University and has been involved in multiple educational programs including Linguistics (BA & RMA), Multilingualism and Language Acquisition (MA), and Language and Cultural Studies (BA). Her recent publications demonstrate a consistent focus on language variation and change, with particular attention to Dutch language phenomena, accent recognition, and multilingual contexts. Her work combines experimental and sociolinguistic approaches, often examining the intersection of social factors and phonetic variation. Scientific Contributions: NWO XS Project (2023-2024): 'Growing up in multilectal and multilingual Netherlands: The acquisition of sound variation by primary school children' Editor of Journal Nederlandse Taalkunde/Dutch Linguistics (2022-present) Member of editorial team for Journal Glossa Psycholinguistics (2023-present) Treasurer of NVFW (Netherlands Association for Phonetic Sciences) (2018-present) Dr. Pinget has been actively involved in academic service, serving on Utrecht University's Examination Board (2017-present), previously as a member of the Ethics Committee (2017-2020) and Study Programme Committee (2016-2018). She also contributed to the development of laboratory and experimental sociolinguistic research as a postdoctoral researcher at the Fryske Akademy (2021-2025).

Kristina S. Weißmüllerمشاهده پروفایل

استادیار

• Public Sector Corruption
• Bureaucratic Rule Breaking
• Behavioral Public Administration
• +۲ مورد دیگر

Kristina S. Weißmüller is Assistant Professor in Political Science and Public Administration at Vrije Universiteit Amsterdam. Her research examines public sector corruption, bureaucratic rule-breaking, and decision-making psychology in administrative contexts. She leads the multinational CorPuS project on public sector corruption and has secured funding for research on anti-corruption strategies. Her work integrates experimental methods and behavioral approaches to study integrity violations and organizational ethics. Recent publications investigate micro-foundations of corruption, public employee well-being, digital governance, and prosocial rule-breaking. Her research demonstrates methodological innovation through vignette studies, experiments, and systematic reviews applied to public administration challenges.

• Sociolinguistics
• Discourse Analysis
• Multilingualism
• +۳ مورد دیگر

Janet M. Fuller is a Professor of Language and Society at the University of Groningen, Netherlands, and Chair of the Language and Society program within the Faculty of Arts. Her expertise spans Sociolinguistics, Discourse Analysis, and Multilingualism. She holds a Ph.D. from the University of South Carolina (1997), an M.A. from Freie Universität Berlin (1992), and a B.A. in Anthropology from Macalester College (1984). Fuller’s research focuses on language ideologies, migration discourses, and national belonging, particularly in Germany and the US. She has authored/co-authored influential textbooks like Introduction to Sociolinguistics and Spanish Speakers in the USA . Her recent work examines media discourses on migration and multilingual psychotherapy practices. She has held leadership roles, including Interim Chief Diversity Officer at Groningen and Director of Women’s Studies at Southern Illinois University. Awards include the 1999 Dean’s Appreciation Award and multiple grants supporting her research on bilingualism and migration. Fuller’s teaching spans undergraduate and graduate courses in Discourse Analysis, Language and Power, and Gender and Diversity research methods. She has supervised numerous theses on topics like Catalan language policy and North Korean media discourses.

Vadim Cheianovمشاهده پروفایل

دانشیار

• Quantum Many-Body Physics
• Condensed Matter Theory
• Ultracold Atomic Systems
• +۶ مورد دیگر

Dr. Vadim Cheianov is an Associate Professor in the Leiden Institute of Physics (LION) within the Faculty of Science at Leiden University. He leads the Cheianov Group, which specializes in theoretical quantum many-body physics with applications in condensed matter and ultracold atomic systems. His research interests span several cutting-edge domains in theoretical physics, including the behavior of mobile quantum impurities in quantum fluids, adiabatic protocols in driven many-body systems, mechanisms of non-ergodicity in quantum systems such as many-body localization and integrability, and the macroscopic manifestations of quantum anomalies like the chiral magnetic effect in condensed matter and cosmological contexts. The recent publications from his group reflect a strong focus on quantum dynamics, topological effects, and fundamental aspects of quantum statistical mechanics. These works integrate concepts from condensed matter, ultracold atoms, quantum field theory, and mathematical physics, often bridging theoretical predictions with potential experimental observations in quantum simulators and solid-state devices. Scientific Awards: NWO Physics Projectruimte Grant (2018) Dr. Cheianov has secured competitive research funding, including the NWO Physics Projectruimte grant awarded in 2018, which supports innovative and high-risk theoretical physics research. While formal advising roles are not detailed in the provided text, his leadership of an active research group implies mentorship of PhD and master’s students. His work contributes significantly to foundational understanding in quantum matter and has implications for quantum technologies and emergent hydrodynamic phenomena in quantum systems. The Cheianov Group operates within the Quantum Matter and Optics division of LION, collaborating with experimental and theoretical physicists to explore non-trivial quantum phenomena in both synthetic and natural quantum materials.

• Entomology
• Insect Behavior
• Parasitoid Wasps
• +۴ مورد دیگر

Hans Smid is a researcher at Wageningen University & Research working in the Laboratory of Entomology. He holds a doctorate and serves as a research supervisor and collaborator on multiple projects focusing on insect behavior, particularly parasitoid wasps and their interactions with host plants and insects. Dr. Smid's research focuses on several key areas in entomology and insect neuroscience: Parasitoid wasp behavior and biological control applications Olfactory learning and memory in insects Neural mechanisms underlying insect behavior Plant-insect interactions, particularly in agricultural contexts Neuroethology of small-brained insects Brain size evolution in parasitic wasps His recent work shows a strong emphasis on understanding how insects like Pieris brassicae butterflies and Cotesia glomerata wasps use olfactory cues in their foraging and oviposition behaviors. This research has important implications for developing more sustainable agricultural practices through biological control methods, as evidenced by his 2024 publication on strawberry cultivation and parasitic wasp attraction. Dr. Smid's research has generated significant attention, with his work being picked up by 4 news outlets, posted by 9 X users, and shared on Facebook pages, indicating broad interest in his findings. His publications have accumulated readers on Mendeley and citations in Scopus. As a research supervisor, Dr. Smid has guided multiple PhD students including J. de Bruijn and J. Groothuis through their doctoral work. His collaborative approach is evident in the numerous multi-investigator projects he participates in, often working alongside colleagues like Marcel Dicke and Louise Vet. Current active projects include 'Apport, parasitic wasps as biodetectors' and 'Smart parasitoids: effective biological control.' Dr. Smid maintains an active research profile with continuous output, including multiple publications in 2024. His work bridges basic research on insect behavior with practical agricultural applications, demonstrating the real-world impact of entomological research.

Arianna Bisazzaمشاهده پروفایل

دانشیار

• Natural Language Processing
• Multilingualism
• Low-resource Language Modeling
• +۷ مورد دیگر

Arianna Bisazza is an Associate Professor in the Computational Linguistics Group at the University of Groningen, where she leads the InClow research group focused on Interpretable, Cognitively inspired, Low-resource language models. Her work bridges computational linguistics, cognitive science, and language acquisition to develop more robust and interpretable language processing algorithms that can adapt to diverse linguistic phenomena worldwide. Dr. Bisazza's research interests span statistical modeling of human languages in multilingual contexts, with particular focus on improving language model performance for "challenging" or low-resource languages. Her work explores how insights from human language acquisition can inform better language modeling techniques, and she investigates methods to make state-of-the-art NLP systems more interpretable and transparent. As a cross-disciplinary researcher, she actively seeks to enhance our understanding of human language processing and evolution through computational modeling tools. Her recent publications reveal a strong emphasis on multilingual evaluation frameworks (like TurBLiMP and MultiBLiMP), interpretability of language models, and connections between human language acquisition and neural network learning. Her work consistently addresses the challenge of making language technology more robust across diverse linguistic structures and typological features. Outstanding Paper Award at the BabyLM Challenge (CoNLL'24 Shared Task) for "BabyLM Challenge: Exploring the Effect of Variation Sets on Language Model Training Efficiency" Dr. Bisazza currently leads a Vidi project funded by the Dutch Research Council (NWO) on improving low-resource language modeling through child language acquisition insights. She is also part of two national consortium projects funded by NWA-ORC initiatives: InDeep (Interpreting deep learning models for language, speech & music) and LESSEN (Low Resource Chat-based Conversational Intelligence). She supervises multiple PhD students, including two China Scholarship Council (CSC)-funded researchers working on simulating human patterns of language learning and change. Her earlier research was supported by a Veni grant (2017-2021) focused on understanding and improving the encoding of linguistic structure in Neural Machine Translation models. As head of the InClow research group, Dr. Bisazza oversees a team investigating interpretable, cognitively inspired approaches to low-resource language modeling. The group's work combines insights from cognitive science and linguistics with cutting-edge NLP techniques to develop language models that better reflect human language processing capabilities, particularly in resource-constrained settings.

Martha Feldmanمشاهده پروفایل

استاد

• Routine Dynamics
• Public Management
• Qualitative Research Methods
• +۳ مورد دیگر

Martha Feldman is a Professor at the University of California, Irvine, renowned for transforming organizational studies through her development of Routine Dynamics and contributions to public management. Her research focuses on how practices enable organizational change, with cross-disciplinary impact in management theory, sociology, and qualitative methodology. Education includes a PhD supervised by James G. March, preceded by studies in French and Political Science. Pivotal experiences include ethnographic work at the Department of Energy and observational studies of university housing routines that challenged conventional stability assumptions. Research spans three core domains: (1) Routine Dynamics examining how routines generate organizational flexibility; (2) Public Management analyzing inclusive governance practices; and (3) Qualitative Methods demystifying analytical processes through frameworks like methodological bricolage. Awards include: EGOS Honorary Membership (2022) Two honorary doctorates Multiple best paper awards She founded the Routine Dynamics scholarly community through EGOS Standing Working Groups and maintains key collaborations with Brian Pentland (routine theory), Karen Locke (qualitative analysis), and Anne Khademian (public engagement).

• Environmental Toxicology
• Ecotoxicology
• Aquatic Ecosystems
• +۳ مورد دیگر

Sanne van den Berg is a Researcher at Wageningen University & Research, specializing in Ecotoxicology and Environmental Risk Assessment. She leads projects such as the Technological Innovations for Ecosystem Monitoring (TIEM) and contributes to initiatives like the EthoCRED framework, which guides behavioral ecotoxicology studies. Her work focuses on pesticide impacts, chemical sensitivity across species, and aquatic ecosystem health. She collaborates on projects assessing groundwater protection and pesticide policy, emphasizing methodological rigor and cross-species extrapolation. Her research interests include behavioral ecotoxicology, precision ecotoxicology leveraging pharmacological targets, and the development of standardized protocols for toxicity testing. She has co-supervised PhD candidates in species sensitivity modeling and adverse outcome pathways. Notable contributions include frameworks for evaluating behavioral ecotoxicity studies and impact analyses of pesticide restrictions in groundwater protection areas. Publications span ecotoxicological methodologies, pesticide effects on bees, and chemical stress impacts on freshwater invertebrates. She actively participates in interdisciplinary teams addressing ecological monitoring and risk assessment challenges.