جست‌وجوی استاد و پژوهشگر

• Foundations of Probability
• Randomness
• Graph Theory
• +۸ مورد دیگر

Lourens Waldorp is an Associate Professor at the University of Amsterdam within the Faculty of Social and Behavioural Sciences , specifically the Department of Psychological Methods . His research focuses on network theory, causal inference, and statistical modeling in psychology and neuroscience. University of Amsterdam IAS Fellow (2024) His research interests include: Network psychometrics Causal inference in psychological models High-dimensional statistical methods Dynamical systems in psychopathology Graph theory applications Signal processing for biophysical data The trends in his recent publications center on causal modeling, network analysis of psychopathology, and statistical techniques for time-series data. He has developed methods for perturbation graphs, moderated network models, and dynamic intervention frameworks. Notable scientific awards : IAS Fellowship for 6 months (2024) He advises PhD students like Kyra Evers and collaborates with researchers across disciplines, including J. Haslbeck , D. Borsboom , and O. Ryan . His work intersects with network theory and clinical psychology .

• Catalysis
• Inorganic Chemistry
• Environmental Chemistry
• +۳ مورد دیگر

Dr. Xinwei Ye serves as a Researcher in the Inorganic Chemistry and Catalysis division at Utrecht University's Faculty of Science. His primary affiliation is with the Department of Chemistry, where he conducts cutting-edge research on heterogeneous catalysis for environmental applications, particularly focusing on selective catalytic reduction (SCR) systems for automotive emissions control. With a strong background in inorganic materials and advanced characterization techniques, Dr. Ye contributes significantly to understanding catalyst structure-performance relationships. Educational Background: Master of Science (MSc) - Institution not specified in source Doctor of Philosophy (PhD) in Chemistry, Utrecht University (2022) Dr. Ye's research program centers on the development and mechanistic investigation of copper-exchanged zeolite catalysts for NH 3 -SCR processes. His work integrates multiple advanced characterization methodologies including operando spectroscopy, scanning transmission X-ray microscopy (STXM), and atom probe tomography to probe catalyst behavior under working conditions at nanometer resolution. This multi-technique approach enables unprecedented insights into active site speciation, reaction mechanisms, and deactivation pathways in emission control catalysts. Analysis of Dr. Ye's publication record from 2018-2022 reveals a cohesive research trajectory focused on copper-zeolite SCR catalysts. His work consistently addresses critical challenges in catalyst durability and performance optimization through fundamental understanding of structure-activity relationships. The publications demonstrate increasing sophistication in experimental approaches, moving from membrane synthesis (2018) to nanoscale deactivation studies (2020) and ultimately to comprehensive structure-performance correlations in his doctoral thesis (2022). As a core member of Utrecht University's catalysis research community, Dr. Ye collaborates extensively with the renowned Weckhuysen group. His research is conducted within well-equipped laboratories featuring state-of-the-art instrumentation for catalyst synthesis, testing, and characterization, including access to synchrotron radiation facilities for advanced X-ray techniques.

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.

Massimo Mischiمشاهده پروفایل

استاد

• Biomedical Signal Processing
• Diagnostic Imaging
• Ultrasound Technology
• +۴ مورد دیگر

Massimo Mischi is a Full Professor at the Faculty of Electrical Engineering of the Eindhoven University of Technology (TU/e) and chairs the Signal Processing Systems (SPS) Division , the largest division at TU/e with over 250 researchers. He founded the Biomedical Diagnostics (BM/d) Lab in 2012, which now includes 180 researchers and clinical/industrial advisors, focusing on biomedical signal processing for diagnostics and monitoring.

• Neuroscience
• Neurobiology
• Cerebellar Plasticity
• +۷ مورد دیگر

Dr. Ting-Feng Lin is an Assistant Professor at the Cell Biology, Neurobiology and Biophysics department within the Faculty of Science at Utrecht University, Netherlands. His research focuses on understanding the mechanisms of learning and memory formation in the cerebellum, particularly how synaptic and intrinsic plasticity mechanisms coordinate to regulate neuronal signaling and behavior. He employs advanced microscopy, optogenetic, and chemogenetic techniques in transparent zebrafish models to study these processes in vivo, with implications for neurodevelopmental disorders like autism spectrum disorder (ASD) and schizophrenia. 2025: Assistant Professor, Utrecht University 2019-2025: Postdoctoral Researcher, University of Chicago 2015-2019: PhD in Neuroscience, Neuroscience Center Zurich (ZNZ) 2010-2014: MS in Physiology, National Taiwan University 2006-2010: BS in Sports Medicine, China Medical University His work investigates how sensory experiences shape cerebellar processing during development, focusing on climbing fiber pathways and their role in sensory prediction errors. His group also studies the interaction between synaptic, intrinsic, and structural plasticity mechanisms in neural circuits, using zebrafish models with genetic modifications (e.g., Grid2 knockout) to model human neurological conditions. Dr. Lin has received scientific recognition including the SfN Trainee Professional Development Award for his work on Purkinje cell plasticity and the JNS Meeting Award for research on parallel fiber ramping activity and LTD. His publications span topics from cerebellar plasticity to voltage-gated K+ channel dynamics, reflecting his interdisciplinary approach to neurobiology.

Hailong Jiaoمشاهده پروفایل

استادیار

• low-power VLSI circuit design
• variations-resilient systems
• error-resilient systems
• +۱۰ مورد دیگر

Hailong Jiao is an Assistant Professor in the Department of Electrical Engineering at Eindhoven University of Technology (TU/e) and an Associate Professor at Peking University Shenzhen Graduate School's School of Electronic and Computer Engineering. He is also a Visiting Assistant Professor with TU/e's Electronic Systems group. His research focuses on low-power and variations-resilient VLSI circuit and system design , including error-resilient systems, approximate computing, machine learning in VLSI, ultra-low voltage circuits, and emerging devices like 3D integration and carbon electronics. Education : BSc (highest honor, 2004, Shandong University), MSc (2008, Institute of Microelectronics, Chinese Academy of Sciences), PhD (2012, HKUST). Collaborations : BrainWave project (TU/e and Radboud University Nijmegen) developing wearable brainwave processing for epilepsy/Parkinson's healthcare. Editorial Roles : Associate Editor for Elsevier Microelectronics Journal and World Scientific Journal of Circuits, Systems, and Computers. Committee Memberships : HiPEAC, MemoCiS, ACM/SIGDA, and six IEEE committees. Research Trends : Recent articles emphasize energy-efficient IoT networks , voltage stacking , sensitivity control , and scan flip-flop design , aligning with UN SDGs for energy engineering and healthcare innovation. Scientific awards include highest honor at BSc .

• 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.

• Media Psychology
• Social Robots
• Human-Robot Interaction
• +۳ مورد دیگر

Elly Konijn is a Full Professor at the Faculty of Social Sciences and Humanities and Network Institute of Vrije Universiteit Amsterdam, holding the Fenna Diemer-Lindeboom Endowed Chair. As chair of the Media Psychology Amsterdam program, her work bridges media psychology, social robots, affective processing, and adolescent media use . Research Pillars : Relating to media figures, virtual humans, and social robots Media-based reality perceptions and moral standards Adolescent media effects (cyberbullying, video games, body image) Recent Publications explore emotional bonding with robots, narrative complexity in film, and media's impact on adolescent cognition. Her 2025 Communication Theory article introduces a framework for human-artificial others relationships. Scientific Recognition : KNAW/NWO Eurekaprijs (2015) Computable Award (2021) Network Institute Competitive Research Funding (2025) She supervises 16 PhD students and leads projects like ROBOT-BOND (ERC Advanced Grant 2025-2029) and Communicating with Social Robots (2020-2025). Her documentaries (e.g., Alice Cares ) translate research into public discourse.

Jan Theeuwesمشاهده پروفایل

استاد

• Cognitive Psychology
• Visual Attention
• Statistical Learning
• +۶ مورد دیگر

Prof. Jan Theeuwes is a Full Professor of Cognitive Psychology at the Vrije Universiteit Amsterdam's Faculty of Behavioural and Movement Sciences, leading the ERC-funded research group on statistical learning and attention. He holds additional roles as Distinguished Visiting Research Professor at the William James Center for Research (Lisbon) and Visiting Professor at Zhejiang University (China). With over 474 publications and two ERC Advanced Grants (2013 & 2019), his work spans visual attention, statistical learning, and applied human factors in road design. He pioneered the 'Self-Explaining Roads' concept, revolutionizing global road safety design, and co-developed Open Sesame, a widely used open-source experiment builder. His research integrates EEG, fMRI, and computational modeling, addressing topics like distractor suppression, emotion, and leadership influence. Over 25 PhD students have graduated under his mentorship, many securing academic roles across Europe. Education: Cum laude degrees in Experimental Psychology (Tilburg University) and a PhD (VU Amsterdam, 1992). Key awards include the Bertelson Award (2001) and KNAW membership (2010). He advises the Dutch Department of Transportation and founded the Institute for Brain and Behavior Amsterdam (IBBA) in 2016. Ancillary roles include leadership in European psychological societies and consultancy for Attention Architects, applying eye-tracking research in corporate settings.

Mark van Loosdrechtمشاهده پروفایل

استاد

• Environmental Biotechnology
• Microbial Ecology
• Wastewater Treatment
• +۶ مورد دیگر

Mark van Loosdrecht is a Full Professor in Environmental Biotechnology at Delft University of Technology (TU Delft), leading the Mark van Loosdrecht Group within the Faculty of Applied Sciences. His research focuses on microbial ecology and innovative wastewater treatment technologies, including biofilm processes, nitrogen/phosphate conversion, and microbial polymer production. He is renowned for developing the Anammox and Nereda technologies, which revolutionize nutrient removal and sludge management in wastewater systems. **Awards & Recognition**: Van Loosdrecht has received prestigious awards such as the Spinoza Award (2014), Stockholm Water Prize (2018), and Lee Kuan Yew Prize (2012). He is a member of the Royal Netherlands Academy of Arts and Sciences and the Dutch and U.S. National Academies of Sciences. **Research Interests**: His work emphasizes sustainable water treatment, resource recovery, and microbial process engineering. Key topics include anaerobic digestion, aerobic granular sludge, and bioremediation strategies for industrial and municipal wastewater. **Publications & Impact**: Over 1,400 peer-reviewed publications and contributions to textbooks like Environmental Biotechnology: Principles and Applications . His research bridges fundamental science with practical applications, addressing global challenges in water management and environmental sustainability. **Affiliations**: He chairs the Environmental Biotechnology section at TU Delft and collaborates globally on projects like the ESDIT initiative, exploring ethics in disruptive technologies.

Thijs Broekhuizenمشاهده پروفایل

دانشیار

• Innovation Adoption
• Value Appropriation
• Digital Business Models
• +۹ مورد دیگر

Dr. Thijs Broekhuizen is an Associate Professor at the University of Groningen's Faculty of Economics and Business, specializing in Innovation Management & Strategy. He currently serves as Scientific Director of the University of Groningen Business School, Coordinator of the Northern-Netherlands Innovation Monitor, and Programme Director of the Executive MBA. His research focuses on digital transformation, value creation in innovation, and digital business models, with interdisciplinary insights bridging strategy, innovation, and digitalization. Education: PhD in Marketing (University of Groningen, 2006) MSc in Marketing (University of Groningen, 2001) Research Interests: Broekhuizen explores value appropriation in technology-driven contexts, digital business models, and strategic responses to disruptive technologies. His work emphasizes SMEs' digital transformation challenges, organizational identity during technological change, and AI-driven innovation management. Key areas include digital platforms, motion picture industries, and social media dynamics. Grants & Projects: TALENT4S3 (€165K, Interreg 2024-2028) SIRM (€189K, Interreg 2023-2027) NWO-funded studies on construction industry profitability and online customer journeys Awards: Best Paper Award at ISoF 2021 Best Short Paper Award Nomination 2021 Teaching & Leadership: Broekhuizen teaches strategy and digitalization in executive programs and has led the MScBA and EMBA initiatives. His educational roles include Programme Director of the Executive MBA (Energy Transition, Health, Sustainable Business Models tracks) and member of the Groningen Digital Business Centre. Labs/Teams: He coordinates the Northern-Netherlands Innovation Monitor (surveying 10,000+ SMEs) and collaborates with the Groningen Digital Business Centre to advance digital strategy research.

J.D. Jansenمشاهده پروفایل

استاد

• Systems and Control Theory
• Subsurface Flow Mechanics
• Geothermal Energy
• +۴ مورد دیگر

J.D. Jansen is a full Professor at Delft University of Technology (TU Delft) in the School of Civil Engineering & Geosciences, specializing in the Reservoir Engineering department. His research focuses on systems and control theory applied to subsurface flow mechanics, with applications in oil and gas production, geothermal energy, and induced seismicity. He actively contributes to academic networks through editorial roles, keynote presentations, and international collaborations. Active in computational geosciences (modeling, simulation, data analysis) Member of the Dutch Mining Council since 2016 Recipient of two Society of Petroleum Engineers awards in 2018 His work emphasizes optimization of subsurface processes, numerical modeling of porous materials, and seismicity mitigation. Recent publications highlight fault slip mechanics, benchmarking simulations, and stress pattern analysis in geothermal systems. Collaborations span geomechanics, reservoir engineering, and data assimilation domains. Scientific awards include: Distinguished Membership of the Society of Petroleum Engineers (2018) SPE Distinguished Achievement Award for Petroleum Engineering Faculty (2018) He leads research initiatives in induced seismicity, particularly in the Groningen Field, and contributes to model-based production optimization. Media engagements since 2020 demonstrate public outreach in energy transition topics.

• Atomic Layer Deposition
• Thin Film Technology
• Plasma Processing
• +۲ مورد دیگر

Dr. Paul Poodt is Associate Professor in Applied Physics at Eindhoven University of Technology, specializing in advanced thin film deposition techniques. His research advances plasma-enhanced and atmospheric-pressure atomic layer deposition for solar cells and electronic devices. Work focuses on conformal coating processes, surface passivation, and novel precursor chemistries. Recent innovations enable nanoscale material control on complex 3D structures for energy applications. Publications in high-impact journals demonstrate breakthroughs in deposition speed and material performance. Collaborations include industry partnerships for semiconductor manufacturing improvements.

Samarpita Royمشاهده پروفایل

استادیار

• Microbial Ecology
• Metagenomics
• Wastewater Treatment
• +۳ مورد دیگر

Samarpita Roy is an Assistant Professor at TU Delft's Faculty of Applied Sciences, leading the Environmental Biotechnology department's Samarpita Roy Group. Her research focuses on microbial ecology in engineered bioprocesses, integrating metagenomics and quantitative physiology to study microbial metabolisms and community interactions. Key projects include exploring phototrophic and polyphosphate-accumulating organisms in wastewater treatment for nutrient/resource recovery. She actively seeks industrial collaborations and is hiring PhD candidates in metagenomics/microbial ecology. Research emphasizes understanding microbial community dynamics under fluctuating conditions, developing sequencing/data analysis workflows, and applying findings to enhance bioprocess efficiency. Her work aims to advance circular bioeconomy solutions through innovative biotechnology approaches.

Tessa Quaxمشاهده پروفایل

دانشیار

• Archaeal Virology
• Virus-Host Interactions
• Microbial Cell Biology
• +۳ مورد دیگر

Prof. dr. Tessa Quax is an Associate Professor at the Faculty of Science and Engineering, University of Groningen, leading research in Molecular Microbiology . Her work focuses on archaeal virology and virus-host interactions, supported by prestigious grants including an ERC Starting Grant (2022) and NWO Vidi Grant (2023). Key Research Areas: Archaeal virus entry/egress mechanisms Cell surface dynamics and motility Extreme environment microbiology Genetic tool development for archaea Recent publications in Nature Reviews Microbiology (2025) and Current Opinion in Microbiology (2024) highlight her work on viral host recognition and structural diversity. Her lab's 44 research outputs span archaeal cell biology, viral evolution, and ecological impacts of virus-induced lysis. Scientific Recognition: KNAW Beijerinck Premium (2022) KNAW Early Career Award (2021) Hector Research Career Development Award (2021) ERC Starting Grant (2022) As Chair of the International Society for Viruses of Microbes SAB and Speaker of the German Microbiology Society's Microbial Viruses group, she coordinates global research networks including a HFSP grant (2023) with Japan/Australia/USA collaborators. Her lab currently includes PhD candidate Zaloa Aguirre Sourrouille and multiple postdoctoral researchers.