جستجوی استاد راهنمای دانشگاهی

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.

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.

• Digital Media Effects
• Health Communication
• Consumer Behavior
• +۵ مورد دیگر

Prof. Edith Smit is a Professor in the Department of Persuasive Communication at the University of Amsterdam's Faculty of Social and Behavioural Sciences. Her research focuses on digital media effects, health communication, consumer behavior, and environmental discourse. She explores topics such as the ethical implications of online advertising, privacy protection strategies, and the persuasive potential of emerging technologies like virtual assistants and mobile health apps. Research Interests: Behavioral responses to digital advertising Health interventions through technology Social media's role in environmental activism Privacy behavior and empowerment Key Themes in Publications: Recent work emphasizes the interplay between technology and societal issues, including the effectiveness of just-in-time health nudges, the dynamics of trust in AI interactions, and the framing of environmental challenges on platforms like TikTok. Her studies often combine experimental methods with digital trace analysis. Her work addresses both theoretical and applied dimensions of communication science, contributing to domains like public health policy, consumer rights, and sustainable marketing strategies.

• Bilingualism
• Multilingualism
• Language Acquisition
• +۷ مورد دیگر

Josje Verhagen is a researcher at the Faculty of Humanities, University of Amsterdam, specializing in Dutch Language Studies. Her work focuses on bilingualism, multilingualism, and language acquisition in early childhood, with a particular emphasis on cognitive development, statistical learning, and the use of social robots in second language education. She collaborates with institutions on projects like the Netherlands Urban Field Station and contributes to understanding how language exposure and input quality affect vocabulary growth and executive functions. Research Themes: Bilingualism, Cognitive Control, Social Robotics, Statistical Learning, Early Childhood Education Contact: j.verhagen@uva.nl Her recent publications explore topics such as family language strategies, teacher impacts on executive function, and the cognitive benefits of multilingualism. She also investigates technological interventions like robot-assisted language learning to support immigrant children’s education. No scientific awards or student advisement details are explicitly mentioned in the available data.

Lennart Blankenمشاهده پروفایل

استادیار

• Feedforward Control
• Learning Control
• Repetitive Control
• +۴ مورد دیگر

Lennart Blanken is a part-time Assistant Professor at the Mechanical Engineering Department of Eindhoven University of Technology (TU/e) and a researcher at Sioux Technologies (Mechatronics department) since 2019. His work bridges academia and industry, focusing on semiconductor and printing technologies. Education: MSc in Mechanical Engineering (cum laude) from TU/e, 2015 PhD in Mechanical Engineering from TU/e, 2019 His research specializes in advanced feedforward control, learning control, repetitive control, and system identification for mechatronic systems. Recent publications highlight frequency-domain methods, multirate systems, and kernel-based learning approaches to improve tracking performance in industrial applications. Advising & Ancillary Roles: Trainer at High Tech Institute. Grants & Collaborations: Funded by NWO (VIDI program 15698), ECSEL Joint Undertaking (IMOCO4.E), Horizon 2020, and JSPS-NWO programs (JPJSBP220234403, 040.040.060).

Ravi B. Patelمشاهده پروفایل

پژوهشگر ارشد

• Plasma Physics
• Combustion Engineering
• Non-Equilibrium Plasma
• +۳ مورد دیگر

Ravi B. Patel is a Research Fellow and Doctoral candidate at Eindhoven University of Technology (TU/e), affiliated with the Applied Physics Department and Mechanical Engineering Department. His research focuses on plasma-assisted combustion to achieve cleaner energy solutions, leveraging optical diagnostics to study non-equilibrium plasma interactions in combustion processes. He holds a Bachelor’s in Mechanical Engineering from L.D. College of Engineering (2015) and a Master’s in Aerospace Engineering from the Indian Institute of Science (2018), specializing in propulsion systems. His work addresses global energy challenges by optimizing plasma applications for low-temperature, emission-reducing combustion. Education: Bachelor’s: Mechanical Engineering, L.D. College of Engineering, India (2015) Master’s: Aerospace Engineering, Indian Institute of Science (IISc), India (2018) Research Interests: Plasma physics, combustion engineering, non-equilibrium plasma dynamics, and sustainable energy technologies. His work emphasizes low-temperature plasma interactions with combustion chemistry to enhance efficiency and reduce emissions. Honors: First poster prize at the Combura Symposium (2019) Advising & Grants: Supervised 4 research projects and contributed to the TTW-funded project 'Making plasma-assisted combustion efficient' (2018–2024), focusing on plasma diagnostics and low-carbon fuel applications. Labs & Groups: Member of the Elementary Processes in Gas Discharges Group and Power & Flow Group at TU/e, collaborating on projects related to plasma-assisted ignition and combustion stabilization.

Maarten Eismaمشاهده پروفایل

دانشیار

• Prolonged grief disorder
• Emotion regulation
• Repetitive thought
• +۳ مورد دیگر

Maarten Eisma, PhD, is an Associate Professor in Clinical Psychology at the University of Groningen, Netherlands. He holds a faculty position within the Heymans Institute for Psychological Research, under the Faculty of Behavioural and Social Sciences. His academic journey includes a PhD from Utrecht University and a postdoctoral fellowship at the University of Aberdeen, focusing on behavioral change techniques in smoking cessation. He returned to the University of Groningen in 2017, entering the tenure track and securing tenure in 2021. Eisma’s research centers on prolonged grief disorder, emotion regulation, and repetitive thought processes following bereavement. He leads projects like the ‘Sleep therapy for prolonged grief disorder’ and ‘Grief’s paradox: Approach and avoidance’, supported by grants from the Dutch Research Council (NWO) and the Dutch Victim Fund. His work bridges clinical practice and digital interventions, developing apps like ‘My Grief’ for bereaved parents. He actively contributes to academic societies, serving on editorial boards for Death Studies and Journal of Loss and Trauma . Awards include the 2023 Research Recognition Award. His teaching roles include coordinating master’s theses and academic skills programs in clinical psychology. Eisma collaborates internationally, investigating grief across cultures and contexts, including post-pandemic bereavement and traffic accident trauma.

• Feedforward Control
• Learning Control
• Repetitive Control
• +۸ مورد دیگر

Lennart LG Blanken is a part-time Assistant Professor in the Control Systems Technology group at the Mechanical Engineering Department of Eindhoven University of Technology (TU/e). He also works at Sioux Technologies in the Mechatronics department since 2019, focusing on applications in the semiconductor and printing industries. His academic background includes a cum laude MSc in Mechanical Engineering (2015) and a PhD (2019) from TU/e, both centered on control systems. Education : MSc (2015) and PhD (2019) in Mechanical Engineering from TU/e. Research Interests : His work spans advanced feedforward control , learning control , repetitive control , and system identification , with applications in mechatronic systems. Key topics include frequency domain analysis , noncausal systems , and nyquist frequency . Article Trends : Recent publications (2024-2025) emphasize frequency-domain methods in multirate systems, kernel-based learning for parameter-varying control, and finite-time iterative learning control. Applications focus on hard disk drives, wafer stages, and industrial printers. Collaborations : He collaborates with institutions like Philips Innovation Services (MSc project) and Canon Production Printing (PhD project), alongside ongoing industry partnerships through Sioux Technologies.

• Control Systems
• Mechatronics
• Machine Learning
• +۷ مورد دیگر

T.A.E. Oomen is a Professor in the Department of Mechanical Engineering, actively engaged in research related to control systems and mechatronics. His academic contributions span interdisciplinary domains, integrating theoretical and applied approaches. Research Interests: His work focuses on Control Systems Mechatronics Machine Learning Dynamic Systems Noise Optimization Motion Control . Key themes include predictive repetitive control, inverse system identification, and the integration of neural networks in mechatronic applications. Recent Publications analyze challenges in precision engineering (e.g., laser frequency control in astrophysics, interventional X-ray imaging) and methodological advancements in sampled-data control and Bayesian modeling techniques. These works emphasize performance optimization through data-driven strategies. Collaborative Affiliation: He is associated with the team led by Jan-Willem van Wingerden , contributing to cutting-edge research in control systems and multidisciplinary engineering problems.

• Behavioral Change Psychology
• Low-Literacy Interventions
• Human Autonomy in Institutional Contexts
• +۶ مورد دیگر

Dr. Hans Marien is an Assistant Professor at Utrecht University's Faculty of Social and Behavioural Sciences, specializing in Social, Health and Organisational Psychology. His research focuses on behavioral change mechanisms, particularly examining autonomy, low-literacy dynamics, social influence, habit formation, and behavioral control through advanced psychological frameworks. Utrecht University, Faculty of Social and Behavioural Sciences Department of Social, Health and Organisational Psychology Member of Human-centered Artificial Intelligence initiative His work spans multiple research areas including Dynamics of Youth , Institutions for Open Societies , and Pathways to Sustainability . Current projects involve AI applications for low-literacy detection and intervention programs that maintain personal autonomy. Dr. Marien's recent publications (2020-2025) explore: Pavlovian-to-Instrumental Transfer mechanisms Temporal binding in agency perception Autonomy limitation in institutional contexts Human-robot interaction for behavioral assistance AI-based literacy intervention frameworks Environmental cue analysis for goal pursuit Collaborations span multiple disciplines with Information and Computing Sciences faculty members like Mehdi Dastani and Marijn Schraagen. The research receives funding from AI Lab and institutional partnerships with Royal Library and Fontys Hogeschool.

• Advanced Feedforward Control
• Learning Control
• Repetitive Control
• +۴ مورد دیگر

Lennart L.G. Blanken is a part-time Assistant Professor in the Control Systems Technology group at the Mechanical Engineering Department of Eindhoven University of Technology (TU/e). He also works at Sioux Technologies in the Mechatronics department since 2019, focusing on projects in the semiconductor and printing industries. His research emphasizes advanced control strategies including feedforward control, learning control, repetitive control, and system identification, with applications in mechatronic systems. Academically, he earned his MSc (cum laude) in Mechanical Engineering from TU/e in 2015 and his PhD in 2019, both under the supervision of Oomen, with a thesis on learning and repetitive control for complex systems applied to large format printers. His work has been published in journals like Meathctronics and Mechanical Systems and Signal Processing , focusing on frequency-domain methods, iterative learning control, and multirate systems. Key collaborations include projects with Philips Innovation Services, Océ Technologies (Canon Production Printing), and international researchers. His contributions span theoretical control development and industrial applications, with a focus on enhancing system performance through innovative control methodologies.

Julius Huijtsمشاهده پروفایل

پژوهشگر

• Ultrafast Electron Diffraction
• Laser Plasmas
• Quantum Technology
• +۴ مورد دیگر

Julius Huijts is a postdoctoral researcher at Eindhoven University of Technology in the Coherence and Quantum Technology group. His work focuses on developing ultrashort pulses of ultracold electrons for ultrafast electron diffraction on membrane proteins. Supported by prestigious fellowships (Branco Weiss and Marie Skłodowska-Curie), he has contributed to advancing laser-plasma acceleration and coherent diffractive imaging. Previously, he held postdoc positions at LOA (France) and completed his PhD at Université Paris-Saclay (2019). Education Bachelor's and Master's degrees in Applied Physics from TU Delft PhD from Université Paris-Saclay (2019), conducted at CEA (France) and ICFO (Spain) Research Interests Huijts' research spans ultrafast electron diffraction , laser-plasma acceleration , and quantum technology . His current project, CoCoPro , aims to create molecular movies of membrane proteins using ultracold electron pulses. This work bridges applied physics with biophysics, targeting breakthroughs in structural biology. Recent Research Trends His articles highlight advancements in laser wakefield acceleration (e.g., optimizing H₂ plasma performance) and carrier-envelope phase control in relativistic electron dynamics. Collaborative efforts focus on biomedical applications of high-repetition-rate electron beams. Awards & Recognition Branco Weiss Fellowship (2022) Marie Skłodowska-Curie Fellowship (2022) First prize in Dutch Physical Society writing competition (2021) FELs of Europe Poster Prize (2024) Grants & Projects CoCoPro (2022–2025): High-coherence ultracold electron diffraction for molecular movies Labs & Affiliations Part of TU/e's Coherence and Quantum Technology group, collaborating with institutions like LOA (France) and École Polytechnique. Active in international workshops (e.g., RUEDI Ultrafast Biosciences) and conferences (CLEO 2024).

Marieke van Vugtمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Cognitive Neuroscience
• Computational Psychiatry
• +۷ مورد دیگر

Marieke van Vugt is an Associate Professor in Cognitive Modeling at the University of Groningen, affiliated with the Faculty of Science and Engineering and the Department of Artificial Intelligence. Her research focuses on understanding mind-wandering and its implications using computational modeling, EEG, and neuroimaging techniques. She explores how meditation and mindfulness practices influence cognitive systems and mental health, particularly depression and rumination. Van Vugt obtained her PhD in neuroscience from the University of Pennsylvania (2008) and completed postdoctoral research at Princeton University before establishing her research group in Groningen (2010). She is actively involved in organizations like Mind & Life Europe and the International Society for Cognitive Modeling. Her work integrates interdisciplinary approaches, including computational psychiatry and social neuroscience, to address questions about attention, decision-making, and brain dynamics. Key areas of interest include the neural correlates of repetitive negative thinking and the development of biomarkers for mental health through speech and behavioral analysis.

• Speech Processing
• Psycholinguistics
• Speech Disorders
• +۵ مورد دیگر

Dr. Esther Janse is an Associate Professor at the Centre for Language Studies, affiliated with the Department of Language and Communication at Radboud University. Her research focuses on speech processing across the adult lifespan, particularly in healthy and clinical populations, with expertise in psycholinguistics, speech disorders, and auditory comprehension.

• Individual and Relational Well-Being
• Grief and Bereavement
• Stress and Coping
• +۵ مورد دیگر

Asuman Büyükcan Tetik is an Assistant Professor at Utrecht University's Faculty of Social and Behavioural Sciences , specializing in the Department of Clinical Psychology . Her research explores individual and relational well-being during significant life events such as bereavement, pandemics, and parenthood transitions, emphasizing cultural context and resilience factors. Research Interests: Psychological adaptation to grief and trauma Family dynamics in stressful contexts Resilience mechanisms in bereaved parents Pandemic effects on mental health Intervention design for grief counseling Recent Publications examine: Dyadic coping in bereavement Insomnia trajectories following loss Personality traits in pandemic resilience Birth-related trauma and PTSD Trust dynamics in marital relationships Collaborative Work spans international institutions, focusing on: Clinical psychology applications Longitudinal study designs Multi-level modeling approaches Public health disparities