جستجوی استاد راهنمای دانشگاهی

• Project Management
• Healthcare Decision Making
• Public-Private Partnerships
• +۳ مورد دیگر

Geert Dewulf is a Professor at the University of Twente, specializing in project governance, public-private partnerships (PPPs), and healthcare decision-making. His research focuses on strategic decision support systems, uncertainty management in healthcare organizations, and adaptive governance frameworks. He has contributed to over 215 publications and supervised 21 students. Key areas of expertise include infrastructure development, construction management, and institutional logics in extended enterprises. Research interests span dynamic decision-making models, stakeholder network dynamics, and the integration of real options and scenario planning in strategic management. He has received awards such as the Best Paper at the 14th Engineering Project Organization Conference and recognition for contributions to community-engaged research in construction management. Education: Not explicitly stated in the provided text. Affiliations: Member of the VISICO Center at the University of Twente, engaged in editorial roles for journals like Engineering Project Organization Journal. Labs/Teams: Associated with interdisciplinary teams focused on healthcare infrastructure and PPP governance. His work addresses challenges in healthcare asset management, resilient infrastructure planning, and fostering collaboration in complex projects. Recent contributions include frameworks for adaptive decision support and serious games for reflecting on partnership dynamics in concessions.

Helga Gardarsdottirمشاهده پروفایل

استاد

• Pharmacoepidemiology
• Real World Evidence
• Drug Regulation
• +۵ مورد دیگر

Helga Gardarsdottir is a Professor in Pharmacoepidemiology at Utrecht University (Netherlands), serving as Scientific Director of the Center for Pharmacoepidemiology. She also holds an adjunct professorship at the University of Iceland and serves as a Seconded National Expert at the European Medicines Agency (EMA). Her work focuses on real-world data for regulatory decision-making, drug safety, and clinical guideline implementation. She leads international projects like IMI Trials@Home and EMA IMPACT, addressing decentralized clinical trials, risk minimization, and pharmacovigilance impact. Her roles include co-chairing the ENCePP steering group and editing Pharmacoepidemiology & Drug Safety . Beyond research, she chairs the Faculty of Science’s EDI committee, promoting inclusive academic practices. Education: Pharmacist training in Sweden; Pharmacoepidemiology specialization in the Netherlands. Research Interests: Innovations in real-world evidence generation, regulatory science, drug safety surveillance, and clinical trial modernization. Key areas include RWE’s role in HTA/regulatory decisions, unintended impacts of drug policies, and digital health integration. Publications: Recent work emphasizes methodological advancements in decentralized trials, pharmacovigilance outcomes (e.g., fluoroquinolone prescribing shifts), and harmonized approaches to external control trials. Her studies bridge regulatory practices with clinical practice guideline adherence. Achievements: Overseeing multi-country initiatives like the IMI Trials@Home consortium (decentralized trials framework) and EMA IMPACT (guideline-RMM integration). Recognized for leadership in ENCePP’s methodological standards and ISPE’s Real-World Evidence Task Force. Grants & Teams: Principal investigator on EMA-funded projects and IMI grants. Leads Utrecht’s Applied Data Science initiative and collaborates with the EU PEV Research Network. Active in training next-generation researchers through teaching and mentoring. Labs/Teams: Utrecht Center for Pharmaceutical Policy & Regulation; Trials@Home consortium; ENCePP working groups.

Soora Rasouliمشاهده پروفایل

استاد

• Travel behavior modeling
• Mobility-as-a-Service
• Sustainable urban transport
• +۲ مورد دیگر

Soora Rasouli is Full Professor of Urban Planning and Transportation at Eindhoven University of Technology, leading research on mobility behavior and sustainable cities. Education: PhD in Built Environment, Eindhoven University of Technology MSc in Civil Engineering (Transport) Her group develops behavioral models integrating emerging technologies like autonomous vehicles and MaaS. Research focuses on decision-making frameworks for urban policies that balance sustainability with human needs. Recent articles analyze activity-travel patterns, household mobility decisions, and EV adoption barriers using advanced statistical methods. Awards: Best Poster Award (2019) Veni Grant for outstanding early-career research (2018) She directs projects like LEVERAGE and NEON, collaborating with European partners on data-driven mobility solutions. As editor of Transportation Letters, she promotes interdisciplinary urban mobility research.

• Cybersecurity
• Data Encryption
• Access Control Systems
• +۳ مورد دیگر

Willem Jonker is a Full Professor at the Digital Society Institute, specializing in Semantics, Cybersecurity & Services. His research focuses on encryption schemes, access control, and privacy-preserving technologies. He has contributed to over 120 publications, with recent work addressing CVE-to-CWE mapping, anomaly detection in network traffic, and functional encryption systems. His expertise aligns with UN Sustainable Development Goals related to secure digital systems and privacy. Jonker has supervised 10 students and actively participates in academic conferences, presenting on topics like secure data management and cryptographic protocols. Research interests include cryptographic protocols, secure data management, and cybersecurity solutions. Notable projects involve developing methods for detecting covert channels, enhancing data privacy in healthcare, and improving secure search over encrypted data. He has also contributed to standards in digital rights management and forensic image recognition.

• Environmental Chemistry
• Mass Spectrometry
• Non-Targeted Analysis
• +۵ مورد دیگر

Dr. Saer Samanipour is a Visiting Professor at the Van 't Hoff Institute for Molecular Sciences, part of the Faculty of Science at the University of Amsterdam. His research focuses on advanced analytical techniques for environmental and biomedical applications, with a strong emphasis on non-targeted analysis, mass spectrometry, and machine learning integration. He leads efforts in developing open-source tools like GcDUO and jHRMSToolBox to enhance data interpretation in complex chemical datasets. Key areas include environmental contaminant detection, chemical exposure assessment via wastewater-based epidemiology, and proteomic analysis of snake venoms. His work bridges computational methods with experimental chemistry to address global challenges in environmental health and toxicology. Primary affiliation: Van 't Hoff Institute for Molecular Sciences Research themes: Non-targeted LC-HRMS workflows, machine learning applications in analytical chemistry, PFAS analysis, and exposome research Software contributions: GcDUO (GC×GC-MS), jHRMSToolBox (HRMS data processing) His publications highlight innovations in data-driven approaches for compound prioritization, toxicity prediction, and method optimization. Recent work explores chemical space exploration and chemometric strategies for complex mixture analysis, with applications to environmental monitoring and forensic science.

• Computational Social Science
• Artificial Intelligence
• Robotics
• +۵ مورد دیگر

Dr. Yara Khaluf is an Assistant Professor in the Information Technology Group at Wageningen University & Research, Department of Social Sciences. She holds a PhD (2014, Paderborn University, cum laude) on robot swarm task allocation, followed by postdoctoral research at Paderborn University (2014–2015) and Ghent University’s IDLab (2015–2021). Her work focuses on computational social science, hybrid human-agent societies, and distributed artificial cognition, leveraging agent-based modeling and systems dynamics for behavior prediction/modulation. She leads European-funded projects like ChronoPilot (EU Horizon2020 FET) and DELICIOS (FWO, 2019–2022). Her research explores interactions between artificial agents and humans, developing cognitive capacities for seamless interaction via social feedback networks. Notable contributions include collective foraging algorithms, time perception modeling, and agent-based simulations for public health interventions. Awards include competitive IGS and DFG fellowships. She collaborates with leading experts in swarm intelligence (Dorigo, Stuetzle), collective decision-making (Hamann, Marshall), and experimental psychology (Johansson, Vatakis). Current projects investigate modulating human time perception and delegation of conflict-of-interest decisions to AI agents. Teaching includes courses on model thinking, agent-based modeling of complex systems, and data science applications in food/consumer science. Her work bridges computational methods with societal challenges, emphasizing scalable solutions for hybrid systems.

• Mycotoxins
• Metabolomics
• Food Safety
• +۴ مورد دیگر

Laura Righetti serves as Assistant Professor in Organic Chemistry at Wageningen University & Research and is a core member of the Team Natural Toxins. Her work bridges analytical chemistry and food safety research with institutional collaborations across European universities including University of Parma and University of Almería. Her research program centers on natural toxins in food systems, particularly mycotoxins like deoxynivalenol (vomitoxin) produced by Fusarium species. She employs advanced metabolomics and tandem mass spectrometry techniques to analyze contaminants in grains, plant-based foods, and dietary supplements. Key focus areas include food authenticity verification, chemical characterization of wild edible plants, and developing sustainable analytical methods for toxin detection. Recent publications demonstrate a clear trajectory toward integrating eco-metabolomics with portable mass spectrometry for on-site food safety testing. Her work increasingly addresses emerging challenges in botanical supplement standardization and antibacterial properties of plant compounds, reflecting growing interdisciplinary connections between food chemistry, toxicology, and microbiology. Dr. Righetti actively mentors doctoral researchers through three ongoing PhD projects: development of portable biotoxin detection systems, toxicological assessment of bee pollen supplements, and identification of novel plant toxins. She also leads the LVVN-funded Pull Down Approach project focused on selective sampling methodologies. As part of Wageningen's Laboratory of Organic Chemistry, she contributes to the Team Natural Toxins research collective which maintains active collaborations across food safety networks in Europe. Current work includes metagenomic analysis of perennial grain rhizospheres and metabolomic profiling of medicinal plants like Melissa officinalis .

Rianne Conijnمشاهده پروفایل

استادیار

• Learning Analytics
• Human-Technology Interaction
• Artificial Intelligence
• +۶ مورد دیگر

Rianne Conijn is an assistant professor in the Human-Technology Interaction group at Eindhoven University of Technology (TU/e), Netherlands. Her research bridges data-driven methodologies (machine learning, statistical modeling) with human-centered design to enhance learning analytics, explainable AI, and writing process analysis. She holds a joint PhD (cum laude) from Antwerp University and Tilburg University, and an MSc (cum laude) in Human-Technology Interaction from TU/e. Academic Background: MSc (2015, TU/e, cum laude), PhD (2020, Antwerp University & Tilburg University, cum laude). Research Focus: Learning analytics, keystroke logging, explainable AI for education, data dashboards, and self-regulated learning dynamics. Teaching: Courses in Advanced Research Methods, Human-AI Interaction, Behavioral Research Methods, and AI ethics in education. Her recent publications explore parallel language planning in writing, longitudinal self-regulated learning strategies, and generalizability of academic performance prediction models. She leads an NWO Veni project on Human-Centered AI in education, emphasizing tailored explanations for student-AI collaboration. Scientific awards include cum laude distinctions for her MSc and PhD, and the NWO Veni grant. Collaborative work spans institutions in the Netherlands, Norway, and the U.S., with applications in intelligent tutoring systems and ethical AI deployment in exams. Key trends across her work: integration of machine learning with educational theory, leveraging keystroke data for cognitive process insights, and prioritizing actionable, explainable AI systems for student support. Publications span journals like the Journal of Experimental Psychology: General , Computers and Education , and IEEE Transactions on Learning Technologies . Scientific Awards: NWO Veni grant for Human-Centered AI in education Cum laude for MSc and PhD Grants & Collaborations: National Science Foundation grants (2016868, 2302644) for biometric feedback in writing UK Research and Innovation grant (ES/W011832/1) for real-time AI scaffolding TU/e Boost! Program grant for self-regulated learning analysis Labs & Teams: EAISI Foundational (Eindhoven AI Systems Institute) Human Technology Interaction group at TU/e Collaboration with Norwegian Reading National Center (University of Stavanger) Project teams for Waterproof ITS and ProWrite grants

Oktay Türetkenمشاهده پروفایل

استاد

• Business Process Management
• Digital Business Models
• Smart Mobility Solutions
• +۳ مورد دیگر

Oktay Türetken is a Full Professor at Eindhoven University of Technology (TU/e) in the Industrial Engineering and Innovation Sciences school, specializing in Information Systems . He chairs the Industrial Engineering Bachelor Program and contributes to the European Research Center for Information Systems (ERCIS) in Münster, Germany. PhD in Information Systems Research Fellow at European Research Institute in Service Science (2008-2012) Adjunct Lecturer at METU’s Software Management program (pre-2008) His research focuses on digital innovation and collaborative business models , particularly in urban mobility. He develops methods for operational design , business process management , and data analytics maturity models . Key projects include MobilitEU and EU-funded initiatives in smart mobility. Recent publications address KPI frameworks for business models, platform design for shared mobility, and maturity models for organizational capabilities. He leads multi-disciplinary teams and has co-authored over 129 research outputs, including 2025 articles in Production Planning & Control and Business & Information Systems Engineering . 2021 : 1st Prize at DESRIST for paper prototype 2022 : 1st Prize for MaaS Platform Features research He supervises PhD candidates Ginger Korsten , Yasmin Rettab , and Stella Lo Giudice , and teaches courses like Digitalization and Enterprise Systems and Green and Digital Transformation . His work bridges academic research with industry consultancy via Cogniton Business Engineering Consultancy.

Tom Verhoeffمشاهده پروفایل

استادیار

• Software Engineering
• Model-Driven Engineering
• Domain-Specific Languages
• +۷ مورد دیگر

Tom Verhoeff is an Assistant Professor at the Faculty of Mathematics and Computing Science of Eindhoven University of Technology (TU/e) , working within the Software Engineering & Technology group. His research focuses on Model-Driven Engineering (MDE) , Domain-Specific Languages (DSLs) , and the intersection of mathematics, computing, and the arts . He teaches courses in data analytics, programming, algorithms, theoretical computer science , and logic . Verhoeff earned both his MSc and PhD in Technical Science (Mathematics and Computer Science) from TU/e. He is actively involved in promoting mathematics and informatics through initiatives like the annual Bridges conference , and serves as board member and treasurer of the Dutch Mathematics Olympiad , as well as chair of the Koos Verhoeff MathArt foundation . He has also held roles as guest lecturer in Lithuania and Finals Director for the ACM International Collegiate Programming Contest . Research Interests: Verhoeff’s work spans Model-Driven Engineering , domain-specific language development , and 3D geometric modeling . His scholarship often explores symmetry, recursion, and mathematical visualization , particularly through computational art and algorithmic puzzles . Recent publications highlight 3D rotation methods , knot theory , and mathematical art using lattice paths and geometric transformations . Scientific Awards: ACM ICPC European Founders Award (2004) IOI Distinguished Service Award (2007) Second Place in the 2022 Wolfram Computational Art Contest Notable Collaborations and Affiliations: He is affiliated with the Esprit Working Group on Asynchronous Circuit Design (ACiD-WG) , WIRE (TUE Mathematics Alumni) , ACM (Senior Member) , CSTA , IEEE Computer Society , and Royal Dutch Mathematical Society (KWG) .

Kasper Welbersمشاهده پروفایل

دانشیار

• Computational Communication Science
• Political Communication
• Journalism Studies
• +۷ مورد دیگر

Kasper Welbers is an Associate Professor at the Department of Communication Science, Faculty of Social Sciences, Vrije Universiteit Amsterdam. He holds additional appointments at the Network Institute and the Communication Choices, Content and Consequences (CCCC) research group. He is co-Director of The Societal Analytics Lab, Vice Chair of the Computational Methods Division at the International Communication Association (ICA), and a scientific representative of the OPINION COST Action network. His research focuses on computational communication science, journalism, and political communication, particularly exploring how news spreads and the role of gatekeepers in media systems. He develops open-source tools for research and advocates for reproducible computational methods. Education and Academic Background: While formal education details are not explicitly provided, his academic trajectory is evident through his faculty role and publications. Research Interests: Welbers combines methodological innovations with substantive research on news diffusion, media gatekeeping, and computational text analysis. His work addresses topics like dark platforms' agenda-setting roles, automated content analysis techniques, and the impact of platform policies on data donation studies. He emphasizes ethical research practices and open-source infrastructure development. Grants and Awards: He received the Faculty of Social Sciences Dissertation Award (2017) and Teacher Talent Award (2019), highlighting both research and pedagogical excellence. Labs and Collaborations: His work is anchored in The Societal Analytics Lab, fostering interdisciplinary research on societal challenges through computational methods. Collaborations span global networks like the OPINION COST Action, addressing cross-cultural media dynamics. Teaching: He teaches courses such as Computational Analysis of Digital Communication and contributes to curriculum development in AI ethics and data science for societal issues.

Volkher Scharnhorstمشاهده پروفایل

استاد

• Biomarkers
• Clinical Chemistry
• Cardiovascular Diagnostics
• +۳ مورد دیگر

Volkher Scharnhorst is a part-time Professor of Clinical Chemistry at Eindhoven University of Technology, affiliated with the Chemical Biology research group within the Department of Biomedical Engineering. He also holds positions at the Eindhoven MedTech Innovation Center and EAISI Health. With over 2000 citations according to Scopus, his academic work bridges clinical practice and engineering approaches to medical diagnostics. His educational background includes: MSc in Biology from Leiden University PhD in Medical Biochemistry from Leiden University (2000), researching 'W1 proteins and their functions in growth and differentiation' Scharnhorst's research focuses on the application of biomarkers in diagnosing and monitoring disease, with particular emphasis on improving analytical techniques and the clinical interpretation of test results. His work spans cardiovascular diagnostics, cancer biomarkers, and laboratory medicine. He is committed to translating laboratory analysis results into clinically relevant information for physicians treating patients, with specific expertise in general laboratory medicine, blood disease diagnostics, and cardiovascular biomarkers. His recent publications demonstrate a strong focus on advanced mass spectrometry techniques for biomarker detection, particularly in lung cancer and cardiovascular disease. The work shows increasing sophistication in analytical methods, moving toward more precise quantification of low-abundance protein biomarkers that can improve early disease detection and monitoring. Scharnhorst has supervised 16 students throughout his career and teaches several courses including Clinical Chemistry, Capita Selecta Laboratory Medicine, and Applied Clinical Data Science. His media presence shows engagement with translating research findings to the public, particularly regarding blood-based tests for lung cancer detection. His research contributes to UN Sustainable Development Goals related to good health and well-being, with work spanning cardiac troponin analysis, lung cancer biomarkers, obesity medicine, and circulating tumor DNA detection.

Tom F.A. de Greefمشاهده پروفایل

استاد

• Synthetic Biology
• Molecular Computing
• Engineered Living Systems
• +۴ مورد دیگر

Tom F.A. de Greef is a Full Professor at Eindhoven University of Technology's Biomedical Engineering department, leading pioneering research at the intersection of synthetic biology, molecular computing, and engineered living systems. He founded the Center of Living Technologies and serves as a Core Professor at the Institute for Complex Molecular Systems (ICMS). Key research areas: Biological Computing Devices, DNA-based Data Storage, Engineered Living Materials, Synthetic Cell Engineering, Digital Chemistry, and Protocell Communication. His work has resulted in over 100 publications in Nature , Nature Chemistry , and Nature Nanotechnology , supported by prestigious awards including ERC Consolidator, Starting, and PoC grants, as well as NWO's VICI, VIDI, and VENI grants. He received the Cram-Lehn-Pedersen Prize in 2017 and was named a Groundbreaking TU/e Researcher in 2022. Leadership roles: Founding member of Center of Living Technologies, Principal Investigator at TU/e, and Fellow of the Netherlands Academy of Engineering. He supervises a large research group with >15 PhD students and leads collaborations across international institutions, focusing on programmable molecular systems and sustainable technologies aligned with UN SDGs.

Adriana Iamnitchiمشاهده پروفایل

استاد

• Computational Social Science
• Social Media Analysis
• Misinformation Detection
• +۳ مورد دیگر

Adriana Iamnitchi is a Full Professor and Key Domain Chair for Computational Science at Maastricht University's Faculty of Science and Engineering, affiliated with the Department of Advanced Computing Sciences. Her research focuses on computational social science, social media dynamics, and misinformation detection. Her primary research interests include: Analysis of coordinated information campaigns across social platforms Development of LLM-based synthetic data generation for social media research Polarization quantification in multi-community networks Policy compliance frameworks for digital regulation (e.g., EU's Digital Services Act) Ethical AI applications for content moderation and transparency Her recent publications (2023-2025) demonstrate strong focus on: Cross-platform disinformation detection using multimodal embeddings Generative AI for synthetic social media datasets Quantitative analysis of toxicity monetization in creator economies Regulatory compliance automation for content transparency

• Hydraulic Engineering
• Coastal Morphology
• Flood Risk Management
• +۳ مورد دیگر

Prof. Suzanne J.M.H. Hulscher is a Full Professor in Water Systems at the University of Twente, specializing in fluvial and coastal morphodynamics. Her research focuses on flood risk management, sediment dynamics, and climate adaptation. She has contributed to over 845 publications and supervised 55 research projects, including Vera van Bergeijk's PhD work on overtopping flows. Key achievements include the Simon Stevin Meester award (2016) and multiple best paper awards. Her work addresses UN Sustainable Development Goals through studies on saltwater intrusion, dike breach modeling, and nature-based solutions. Research highlights include hydraulic model calibration, estuarine sand wave dynamics, and vegetation effects on hydrodynamics. She actively contributes to editorial roles (CivilEng Journal) and policy advisory bodies (Wetenschappelijke Raad). Her interdisciplinary efforts bridge engineering, ecology, and climate science. Research areas: Coastal morphology, river dynamics, environmental hydraulics Key collaborations: 4TU.Centre for Research Data, IAHR, Netherlands Academy of Engineering Grants: Not explicitly listed, but extensive publications imply significant funding Her lab focuses on combining field data with numerical modeling for real-world applications like flood dashboard development and machine learning-based prediction systems. Current projects explore climate change impacts on engineered estuaries and distributive justice in climate policy.