جستجوی استاد راهنمای دانشگاهی

Patrick J.F. Groenen is a full Professor of Statistics at the Erasmus School of Economics (ESE), Erasmus University Rotterdam , and currently serves as its Dean. His academic career spans leadership roles, including Director of the Econometric Institute (2014-2020) and President of the International Association for Statistical Computing (2015-2017). He has held visiting positions at Stanford University and contributed extensively to multidimensional scaling (MDS), data science , and statistical genetics . His research focuses on numerical algorithms for MDS, support vector machines , and optimization techniques applied to diverse fields. He is a founding editor of the open-access journal Journal of Data Science, Statistics, and Visualisation and has authored major textbooks including Modern Multidimensional Scaling and Applied Multidimensional Scaling and Unfolding . His work appears in top journals like Nature Genetics , Psychometrika , and Journal of Machine Learning Research . Recent publications highlight advancements in convex clustering , genomic prediction , and robust statistical methods . He has developed influential R packages such as GenSVM , SVMMaj , and smacof for multiclass classification and MDS software. His supervisory record includes 14 PhD students across economic psychology, genetics, and data science. Academic activities include editorial roles at Advances in Data Analysis and Classification and Psychometrika , alongside organizing international conferences like CARME 2007 on correspondence analysis. His contributions to nonlinear biplots and response style modeling have advanced visual data interpretation in social sciences.

• Data Science
• Multidimensional Scaling
• Optimization Algorithms
• +۵ مورد دیگر

Bram C.M. Cappers is a University Lecturer in the Department of Mathematics and Computer Science at Eindhoven University of Technology. His work focuses on visual analytics, cybersecurity, and predictive analytics applied to dynamic heterogeneous networks. He holds a Master’s (2014) and PhD (2018) in Computer Science from TU/e, with doctoral research on security visual analytics for cyber threat analysis. Education: Bachelor in Software, Algorithms, Control Systems (Eindhoven University of Technology, 2012) Master in Software, Algorithms, Control Systems (Eindhoven University of Technology, 2014) PhD in Computer Graphics (Interactive Visualization of Event Logs for Cybersecurity, 2018) Research Interests: Developing predictive models for energy networks, visual analytics tools for cybersecurity incident response, and anomaly detection in complex systems. His work extends to applying these techniques in healthcare, finance, and energy sectors through startups like CodeNext21 and TIBO Energy. Key Contributions: Eventpad: Award-winning visual analytics framework for malware analysis and network intrusion detection Predictive analytics for VoIP fraud prevention (KPN partnership) Co-founder of two ventures commercializing academic research Awards: ICT.Open Award (2018) for traffic data anomaly detection Elsevier’s 30 onder de 30 (2020) for innovation leadership European Venture Program Best Executive Summary (2018) Grants & Activities: Received €150K Demonstrator grant (2018) Contributed to SECREDAS EU project (2018-2021) Speaker at Blackhat USA 2018 and multiple invited talks on cybersecurity

• Visual Analytics
• Cybersecurity
• Data Science
• +۳ مورد دیگر

Dr. Charlotte Gerritsen is an Associate Professor in Artificial Intelligence at the Faculty of Science, Vrije Universiteit Amsterdam (VU), and an affiliated member of the Network Institute. Her research focuses on agent-based modeling of social and emotional dynamics, emotion contagion in virtual environments, and applications of AI in crowd management, mental health, and criminology. She has published extensively on topics such as sentiment analysis, gamification, and the ethical implications of AI in public safety. Her work integrates computational methods with social science theories, addressing challenges like real-time violence detection, avatar-mediated emotion recognition, and serious gaming for resilience training. She has supervised 5 PhD theses and teaches courses on AI and Law, Artificial Intelligence, and Socially Aware Computing. Her research project, 'Integrating sentiment analysis in real-time crowd management,' highlights her commitment to bridging technology with societal needs. Education: PhD in Artificial Intelligence (implied by title 'dr.') Affiliations: Faculty of Science, Network Institute Key Research Areas: Emotion Contagion, Agent-Based Modeling, Crowd Behavior, Gamification Her articles analyze topics like emotion contagion in crowds, AI-driven crowd control, and virtual training systems. While no specific awards are listed, her prolific publication record underscores her academic impact. She advises students on criminological and computational social science projects and collaborates internationally in criminology, healthcare, and AI ethics.

• Artificial Intelligence
• Sentiment Analysis
• Agent-Based Modeling
• +۷ مورد دیگر

Dr. Andreas Alfons is an Associate Professor in the Department of Econometrics at Erasmus School of Economics, Erasmus University Rotterdam. His research focuses on robust statistical methods, machine learning, psychometrics, and software development for high-dimensional data. He leads the NWO Vidi project on robust analysis of rating-scale data and contributes to the interdisciplinary project on digital decision support. He is an editor for the Journal of Statistical Software and Journal of Data Science, Statistics, and Visualization. His research interests include robust statistical learning, high-dimensional data analysis, and open science practices. Key contributions include R packages like robmed , robustHD , and simFrame . Recent work addresses careless responding in surveys and robust mediation analysis. Publications span journals such as Computational Statistics & Data Analysis , Econometrics and Statistics , and Journal of Statistical Software . His work emphasizes reproducibility and software tools for statistical analysis.

• Statistics
• Machine Learning
• Psychometrics
• +۳ مورد دیگر

Dr. Mark Dekker is a Researcher at Utrecht University's Faculty of Geosciences, specifically within the Copernicus Institute of Sustainable Development and the Environmental Sciences department. He also holds a position at the Netherlands Environmental Assessment Agency (PBL). His work bridges data science, mathematical modeling, and environmental policy, with a particular focus on climate change mitigation strategies. Dr. Dekker completed his PhD in 2022 with a thesis titled 'Macroscopic Dynamics in Complex Systems,' which examined interactions between microscopic and macroscopic phenomena across various complex systems including climate tipping points, railway disruptions, ecological patterns, neuroscience data, and pandemic interventions. His educational background has equipped him with strong analytical skills in mathematical and computational modeling. His research interests span Dynamics of Complex Systems , Climate Dynamics , Critical Transitions , and Integrated Assessment Modelling . Dr. Dekker applies data science and mathematical techniques to climate change questions, particularly focusing on climate justice and mitigation effort-sharing. He distinguishes normative considerations from climatological uncertainties to understand what determines fair national emission reduction targets. His work includes developing the Carbon Budget Explorer webtool for visualizing fair climate targets. Dr. Dekker's publication record shows a clear evolution from fundamental complex systems research during his PhD (2017-2021) toward applied climate policy analysis. His recent work (2022-2025) focuses on energy system modeling, climate scenario analysis, and effort-sharing frameworks. He has made significant contributions to understanding variance in climate policy scenarios and identifying 'model fingerprints' in mitigation pathways. His interdisciplinary approach connects climate science with social considerations of fairness and justice. As an educator, Dr. Dekker contributes to several bachelor-level courses including Introduction to Adaptive Systems, Graphics, Image processing, Introduction to Complex Systems, and Introduction Project. His teaching reflects his expertise in complex systems and computational approaches. Dr. Dekker is actively involved in the IMAGE team within the Horizon-2020 ECEMF project, working on scenarios describing future energy economy evolution and identifying potential routes to climate neutrality. His research combines data analysis, network analysis, computational modeling, and mathematical modeling using Python and Matlab. His work has significant policy relevance, particularly for national and international climate target setting.

• Dynamics of Complex Systems
• Climate Dynamics
• Critical Transitions
• +۷ مورد دیگر

Marc Jochen Uetz is a Full Professor at the Mathematics of Operations Research department and affiliated with the Digital Society Institute. His research spans operations research and computer science, focusing on scheduling, game theory, and optimization problems. PhD in Mathematics from Technische Universität Berlin Research Interests: Active in algorithmic game theory and stochastic scheduling, he investigates equilibrium models, price of anarchy, and efficient resource allocation in transportation and network systems. His work contributes to UN Sustainable Development Goals related to education and infrastructure. Publication Trends: Recent work combines game theory with two-stage facility location, network routing, and stochastic scheduling of Bernoulli-type jobs. Key keywords include Nash equilibrium, approximation algorithms, and dynamic programming. Scientific Recognition: Excellent Reviewer Award (2017) Teaching Award (2018) Academic Activities: Currently chairs Platform Wiskunde Nederland, contributes to editorial work, and delivers invited talks at international conferences like IJCAI 2024.

• Operations Research
• Computer Science
• Artificial Intelligence
• +۱۱ مورد دیگر

Remco Veltkamp Professor of Game and Media Technology at the Faculty of Science, Utrecht University. His research focuses on game technology, 3D analysis, video/image recognition, AR/VR interaction, and applications of serious games in health and education. He coordinates the Utrecht Center for Game Research and leads the Dynamics of Youth Hub's 'Play = Healthy Growing Up' initiative, exploring gaming's role in supporting chronically ill children. Additionally, he teaches Game Programming and co-founded the Serious Game Society. He serves as editor for International Journal of Serious Games and Graphical Models . Affiliations: AI Labs, Human-Centered Artificial Intelligence, Integrative Bioinformatics, Life Sciences (LS) Research Themes: Game design for education/training, virtual worlds, biofeedback through heart/brain measurements, narrative design in games Active in both academic research and applied data science initiatives, including the Utrecht Platform for Applied Data Science. Office: Minnaert Building, Room 4.03, Utrecht.

• Game Technology
• Game Design
• 3D Object and Scene Analysis
• +۷ مورد دیگر

Boyu Xu is a researcher at Utrecht University 's Faculty of Science , affiliated with the Department of Information and Computing Sciences and the Visualization and Graphics group. Her work bridges Information Visualization , Augmented Reality (AR) , and Neuroscience Data Analysis , focusing on tools for exploring scientific literature. She developed the DatAR project, which enables neurologists to analyze connections between brain regions and diseases from over 400,000 PubMed publications. Her research also explores how Generative AI can enhance creative processes in visual art and design. Prior to her PhD, she worked on graphic design , game design , and commercial AR applications , with a portfolio at xuboyumedia.com . Her publications (2024–2025) at conferences like MultiMedia Modeling and CHIIR emphasize AR-based research methodologies , interactive neuroscience tools , and timeline visualization for mapping indirect-to-direct relationships in scientific data. She collaborates with supervisors Prof. Lynda Hardman and Dr. Wolfgang Hürst , but no formal advising roles or scientific awards are listed.

• Information Visualization
• Augmented Reality
• Human-Computer Interaction
• +۲ مورد دیگر

Huub M.M. van de Wetering is an Assistant Professor at the Mathematics and Computer Science school of Eindhoven University of Technology (TU/e) , with affiliations to the Visualization and Visual Analytics departments, and the EAISI Health research institute. His research focuses on Interactive Visualization , Visual Analytics , and Medical Imaging applications, particularly in Dynamic Graphs and Neuroimaging . Recent work includes Pangenomic Variant Analysis and Streamline Transparency Techniques for brain structure visualization. Dr. van de Wetering has received Scientific Awards including: Best Demo Award (2022) Best Poster Award (2022) He teaches courses in Computer Graphics , Visualization Seminars , and Visual Computing Projects .

• Interactive Visualization
• Visual Analytics
• Data Visualization
• +۴ مورد دیگر

Mariëlle Aarts serves as an Assistant Professor in the Department of the Built Environment at Eindhoven University of Technology (TU/e), specializing in human-centered lighting research. Her work spans multiple research groups including Building Lighting and the Intelligent Lighting Institute, with office location at Vertigo 6.11. She also chairs the Board at the Light and Health Research Foundation SOLG at TU/e, where she promotes awareness of light's impact on human health and connects researchers in this field. Her research focuses on the intersection of lighting with human wellbeing, particularly examining daylight, electrical lighting, comfort, and energy considerations within the built environment. Aarts maintains special expertise in lighting applications for working environments and elderly populations, recognizing the distinct requirements for these groups compared to general populations. Her work extends to therapeutic applications of light for affective disorders and lighting conditions in medical facilities. Analysis of her recent publications reveals a strong emphasis on translational lighting research connecting engineering principles with health outcomes. Her work spans building science, environmental psychology, and public health domains, with particular attention to methodological improvements in light measurement, the impact of light on vision development, and the psychological effects of natural versus artificial lighting patterns. Aarts demonstrates consistent collaboration across international research teams, particularly with colleagues at TNO and other European institutions. Chairman of the Board, Light and Health Research Foundation SOLG at TU/e Former researcher at TNO (2001) Member of the Daylight Committee of the Dutch Lighting Foundation Aarts teaches multiple courses including 'Advancing light for human functioning', 'Physics of light and lighting design', and 'Healthy & sustainable living environments'. Her educational activities emphasize the practical application of lighting principles for human benefit, connecting theoretical knowledge with real-world implementation. Her research laboratory environment includes the Intelligent Lighting Institute where she collaborates on projects examining lighting's physiological and psychological impacts.

• Human-Centered Lighting
• Daylight Studies
• Light and Health
• +۴ مورد دیگر

Professor Remco Veltkamp holds a faculty position at Utrecht University's Faculty of Science with a focus on Game and Media Technology . As Scientific Director of AI Labs and coordinator of the Utrecht Center for Game Research , his work bridges serious games, virtual reality, and human-centered AI applications. He leads the Dynamics of Youth Hub 'Healthy Play, Better Coping' exploring gaming's role in pediatric chronic illness management. Academic leadership in gaming technology Director of Utrecht's AI Labs Founder of Serious Game Society Editor of International Journal of Serious Games Research spans game design, AR/VR interaction, 3D object recognition, and multimedia systems with applications in: Healthcare gamification Energy conservation Bioinformatics Social behavior analysis Computer vision Recent work includes: 2025: Developing fatigue management therapy games 2024: Analyzing protest dynamics through social media 2023: Creating equine pain assessment systems 2022: Gamification in food sustainability As educator, he teaches Game Programming and Small Project Game and Media Technology , while pioneering applications of gaming in healthcare and education sectors.

• Game Technology
• Game Design
• Serious Games
• +۷ مورد دیگر

Dr. Steffen Frey is an Assistant Professor in the Scientific Visualization and Computer Graphics group within the Bernoulli Institute at the University of Groningen's Faculty of Science and Engineering. He also maintains an affiliation with the Faculty of Medical Sciences/UMCG in the Robotics and image-guided minimally-invasive surgery (ROBOTICS) research group. His work bridges computer science with practical applications in medical and geoscientific domains. His research interests focus on scientific visualization, computer graphics, and interactive visualization techniques. Dr. Frey specializes in developing novel methods for flow estimation, temporal interpolation, parameter sensitivity analysis, and visualization of complex scientific data, particularly in porous media and fluid dynamics. His work often involves creating scalable solutions for big data visualization problems and applying visualization techniques to medical applications such as bone cement simulation. Analysis of his recent publications reveals a strong focus on machine learning approaches to scientific visualization, particularly in temporal interpolation and ensemble data analysis. His work combines traditional computer graphics techniques with modern deep learning methods to solve challenging visualization problems in scientific domains. The research demonstrates increasing sophistication in handling complex multi-dimensional datasets while maintaining interactive performance. 2019 IEEE Scientific Visualization Contest Winner Dr. Frey actively collaborates with researchers internationally, as evidenced by his co-authorship with scientists from various institutions worldwide. His work contributes to multiple Sustainable Development Goals, particularly those related to clean water and sanitation through his porous media flow research. He has supervised multiple students through research projects and thesis work, though specific names are not listed in the provided materials.

• Scientific Visualization
• Computer Graphics
• Flow Estimation and Interpolation
• +۷ مورد دیگر

Jeremiah van Oosten serves as a Lecturer at the Academy for AI, Games & Media in Breda, Netherlands, focusing on game engine development and graphics programming within the institution's Frontier building location. His research spans critical areas in interactive technology: Game Engine Architecture and Optimization GPU-Accelerated Parallel Computing (CUDA) Cross-Platform Graphics Rendering (OpenGL) Mathematical Foundations for 3D Systems Immersive Therapy Applications (VR/AR) Van Oosten's influential 2012 publications on 3dgep.com established comprehensive resources for game engine programming, emphasizing practical implementation of GPU techniques, real-time rendering pipelines, and mathematical frameworks. His work bridges theoretical computer graphics with industry-ready development practices, particularly benefiting independent game developers. Scientific recognition includes: No major awards or fellowships documented in current sources He actively contributes to healthcare innovation through research collaborations: ARET Project (2022-2024): Co-Investigator for Augmented Reality Exposure Therapy targeting Alcohol Use Disorder RECOVRY Project (2019-2021): Co-Investigator developing Virtual Reality solutions for alcohol addiction treatment VIBE Project (2018-2022): Co-Investigator creating virtual human systems for economic applications These EU and nationally funded initiatives demonstrate his commitment to applying game technology in therapeutic contexts through interdisciplinary teams spanning computer science, psychology, and healthcare.

• Game Engine Development
• Graphics Programming
• Parallel Computing
• +۳ مورد دیگر

Prof. Dr. Jörg Henseler is Full Professor and Chair of Product–Market Relations at the Department of Design, Production and Management, Faculty of Engineering Technology, University of Twente, Netherlands. He also holds visiting positions at NOVA Information Management School, Universidade Nova de Lisboa, Portugal, and as Distinguished Invited Professor at the University of Seville, Spain. University: University of Twente School: Faculty of Engineering Technology Department: Department of Design, Production and Management Chair: Product–Market Relations Visiting Professor: NOVA Information Management School, Portugal Distinguished Invited Professor: University of Seville, Spain His research focuses on composite-based structural equation modeling (SEM) , particularly partial least squares (PLS) path modeling , emergent variables , and methodological innovations in empirical research. He bridges design and behavioral sciences through advanced statistical modeling, with applications in marketing, management, and information systems. His recent publications emphasize methodological rigor in PLS-SEM, including consistent PLS (PLSc) , confirmatory composite analysis (CCA) , HTMT for discriminant validity , and second-order modeling . These works highlight trends toward improved model assessment, validity testing, and theoretical integration in composite-based approaches. Highly Cited Researcher by Clarivate/Web of Science Ranked among the top 100 most influential researchers in the Stanford/Elsevier Top 2% Scientists List 2024 Repeated 'Teacher of the Year' award recipient Prof. Henseler contributes extensively to the scientific community as a reviewer, editorial board member, and guest editor. He chairs the scientific advisory board for the ADANCO software and organizes the PLS School , offering seminars on PLS path modeling. He has authored over 130 journal articles and the authoritative book Composite-Based Structural Equation Modeling . His work supports researchers in applying robust, theory-driven methods in empirical studies. He leads methodological innovation in composite-based modeling, with strong ties to software development and global academic outreach. His research group and collaborations focus on advancing SEM techniques for complex, real-world applications in business and engineering contexts.

• Structural Equation Modeling
• Partial Least Squares Path Modeling
• Composite-Based Structural Equation Modeling
• +۸ مورد دیگر

Petr van Blokland (born 1956 in Gouda) is a type designer, typographer, graphic designer and lecturer at the Royal Academy of Art in The Hague (KABK), where he teaches in the Master Type and Media program. He co-founded Type Network and releases typefaces under the TYPETR label. His studio, Buro Petr van Blokland + Claudia Mens, was established in 1980. His research interests focus on the intersection of traditional typography and digital innovation. Van Blokland explores typeface design , design automation , and creative methodologies that bridge historical practices with contemporary digital tools. His work emphasizes expansion contrast typography, flourished letterforms , and variable font technology , creating type systems that function across diverse media contexts while maintaining typographic integrity. His publication history shows consistent innovation across decades, with recent work focusing on variable font technology (Presti, 2023), display typography (PowerLift, 2018), and historical analysis of type technology (2024 phototypesetting article). His typefaces demonstrate a progression from traditional text faces (Proforma, Productus) to experimental digital forms (Bitcount) and finally to sophisticated variable systems that incorporate historical techniques with digital flexibility. ATypI's Charles Peignot Prize (1988) As a lecturer in the Master Type and Media program, van Blokland guides students through advanced type design projects that integrate historical knowledge with cutting-edge technology. His approach to teaching emphasizes practical application through live design games and collaborative workshops that simulate professional design environments. His studio work with Buro Petr van Blokland + Claudia Mens provides real-world context for his academic instruction, creating a seamless connection between professional practice and educational theory. Van Blokland leads TYPETR, a type foundry that develops sophisticated type systems with extensive OpenType features. His work on Presti demonstrates particular innovation with floating flourishes that can be attached to letters in multiple positions, sizes, and directions, creating a highly customizable typographic system that maintains historical authenticity while embracing digital possibilities.

• Type Design
• Typography
• Graphic Design
• +۵ مورد دیگر