جست‌وجوی استاد و پژوهشگر

• Business Process Modeling
• Conceptual Modeling
• Data Visualization
• +۴ مورد دیگر

Dr. Jens Gulden is a Lecturer in Process Science at Utrecht University's Faculty of Science. His work spans business process modeling, information systems engineering, data visualization, and increasingly focuses on ethical considerations in business informatics. He is affiliated with the Software Process Science research group and has been actively publishing since 2006 with recent work extending into 2025. His research interests center around conceptual modeling, business process management, and data visualization techniques. He has made significant contributions to understanding how visual representations can support decision-making processes, particularly through eye-tracking studies. More recently, his work has evolved to address ethical dimensions of information systems, with growing focus on moral responsibility in conceptual modeling and ethical reasoning methods for ICT. His publications reveal a clear research trajectory from technical aspects of modeling and visualization toward addressing ethical implications of business information systems. He has co-organized multiple workshops on ethics and morality in business informatics (EMoWI) and has been instrumental in special sections of business process modeling conferences (BPMDS). Dr. Gulden has been actively involved in teaching courses such as Colloquium Business Informatics, Responsible ICT, and Scientific Research Methods for Business Informatics, reflecting his dual expertise in technical and ethical aspects of information systems. His collaborative network includes researchers like S. España, A. Bock, and R. Schmidt, with whom he has co-edited conference proceedings and organized workshops focused on both technical and ethical dimensions of business informatics.

Farshid Jafarpourمشاهده پروفایل

استادیار

• Theoretical Biological Physics
• Statistical Physics
• Biophysics
• +۵ مورد دیگر

Dr. Farshid Jafarpour is an Assistant Professor of Theoretical Physics at Utrecht University's Faculty of Science. He is affiliated with the Theoretical Physics (ITF) group, specializing in Condensed Matter Theory and Statistical & Computational Physics. His research focuses on applying stochastic processes, nonlinear dynamics, and nonequilibrium statistical physics to biological systems across scales, including bacterial growth modeling, biological homochirality origins, and pattern formation in chemical/biological systems. He teaches courses such as Advanced Topics in Theoretical Physics II, Biological and Soft Matter Physics, and Stochastic Processes in Biophysics. His work bridges single-cell dynamics with population-level phenomena, emphasizing the interplay between stochasticity and deterministic processes in biological systems. Recent publications explore population growth oscillations, noise-induced symmetry breaking, and scaling concepts in genomic data. Dr. Jafarpour's research group offers projects for students with strong probabilistic and coding skills, particularly in stochastic modeling. His contributions span theoretical physics and biophysics, addressing fundamental questions about life's emergence and biological complexity.

Abe de Jongمشاهده پروفایل

استاد

• Corporate Finance
• Financial History
• Business History
• +۳ مورد دیگر

Prof. Abe de Jong is a Professor of Corporate Finance at the University of Groningen's Faculty of Economics and Business and holds a concurrent position as Professor of Finance at Monash University (Australia). His research focuses on corporate finance, financial history, and business history, with particular emphasis on historical institutional impacts, taxation, and capital structure dynamics. He leads major research projects including 'Collateral Damage: The Financial Economics of Slavery' (NWO, 2025-2029) and 'Taking Stock: The Amsterdam Exchange and Dutch Growth' (NWO, 2021-2026). Key research interests include corporate governance evolution, Dutch financial systems, and long-term economic trends. His work bridges historical analysis with contemporary corporate finance challenges, often utilizing archival data to uncover patterns in corporate behavior. Notable publications address topics such as convertible bonds, Nazi-occupied corporate taxation, and asset sale disclosures. He has secured significant grants from the Netherlands Organization for Scientific Research (NWO), focusing on financial metadata creation and colonial economic history. His pedagogical contributions include developing frameworks to integrate historical sensibility into managerial decision-making. Abe de Jong actively collaborates with international institutions and maintains affiliations in both the Netherlands and Australia.

• Cancer Research
• Genomics
• Oncology
• +۷ مورد دیگر

Klaas Kok is a Researcher at the University of Groningen , affiliated with the Faculty of Medical Sciences and the Personalized Cancer Treatment (PCT) group. His work contributes to UN Sustainable Development Goals (SDGs) related to health and well-being. Research Interests : Cancer genomics, molecular mechanisms of oncogenes, tumor suppressor genes, non-coding RNA in cancer progression, and precision medicine for lung cancer and lymphomas. Supervision : Co-supervised PhD research on SETD2 and PBRM1 inactivation in clear cell renal cell carcinoma (2016). Dataset Contributions : Participated in studies involving cell-free DNA sequencing for esophageal and lung cancers, as well as microRNA screening in Hodgkin lymphoma. Collaborations : Active in international networks, with recent work on ALK-positive lung cancer resistance mutations (2025) and post-transplant lymphoproliferative disorders (2023). Research Trends : Focus on genomic profiling, replication stress in oncogenesis, tumor subtype definition, and liquid biopsy applications.

Stefan Semrauمشاهده پروفایل

دانشیار

• Cell-fate Decision-making
• Single-cell Transcriptomics
• Stem Cell Biology
• +۶ مورد دیگر

Dr. Stefan Semrau is an Associate Professor at the Leiden Institute of Physics (LION) within the Faculty of Science at Leiden University . His research focuses on quantitative single-cell biology, particularly studying cell-fate decision-making using embryonic stem cells as a model system. Develops single-cell RNA-seq and single-molecule FISH methods Applies machine learning and mathematical modeling to decode stem cell differentiation Investigates interplay of epigenetics, cell cycle, and signaling molecules His work addresses both fundamental biological dynamics and applications in regenerative medicine and cancer stem cell eradication . Recent publications emphasize single-cell transcriptomics and gene fusion quantification . The Semrau Lab maintains collaborations across disciplines and develops tools like fuseFISH for cancer research. Scientific Awards FOM-Projectruimte Grant (2016) for stem cell dynamics research Advising & Collaborations Current advisees include PhD students studying retinoic acid-induced differentiation and lineage priming. The lab integrates computational and experimental approaches through partnerships with biotech and physics teams.

Florian Cramerمشاهده پروفایل

مدرس

• Digital Culture
• Media Studies
• Art Theory
• +۷ مورد دیگر

Florian Cramer is a Lecturer at the Willem de Kooning Academy (part of Rotterdam University of Applied Sciences). His work focuses on self-organized art practices outside institutional frameworks, post-digital aesthetics, and the intersection of technology with cultural critique. Key research areas: Digital Culture, Algorithmic Bias, Media Ethics Projects: Privacy Lab 010 , The Autonomous Fabric of Rotterdam , Blockchain’s Impact on Society His publications explore themes like meme politics, digital-physical hybrid publishing, and the ethical implications of AI. Recent collaborative works include Pattern Discrimination (2018), analyzing algorithmic identity politics, and Crafting Privacy (2019), addressing cross-disciplinary privacy design. He advocates for reimagining art education through post-digital and autonomous practices, as seen in Reinventing the Art School, 21st Century (2013). His earlier work, such as Digital Code and Literary Text (2003) and Pornographic Coding (2007), established foundational critiques of digital materiality and networked cultures.

• Language structure: variation and change
• Multilingualism
• Language contact
• +۵ مورد دیگر

Dr. Jacomine Nortier is an Associate Professor at Utrecht University's Faculty of Humanities , Department of Languages, Literature and Communication. Her work focuses on language variation and change in multilingual urban contexts, particularly examining code-switching , urban youth languages , and the relationship between language and identity . Research Interests : Multilingualism in urban communities Ethnicity and language use Historical language contact Metalinguistic awareness in youth Language policy and education Advising : Primary supervisor for Nurenzia Yannuar's PhD research. Scientific Engagement : Keynote speaker at Sociolinguistics Symposium 21 (2023) Guest editor for Applied Linguistics Review (2017-2018) Organizer of Drongo Language Festival (2017) Member of NWO Teacher Grant Committee (2022-2023) Key Publication Trends include analyzing medieval multilingual songs , digital language practices , and multi-ethnolects through sociolinguistic and contact linguistics lenses. Scientific Awards : Aspasia Subsidy for NT2 teaching workshops (2013) Teaching encompasses multilingualism , language contact , sociolinguistics , and Nederlands als Tweede Taal at both undergraduate and graduate levels.

• Endocrine toxicology
• Endocrine-disrupting chemicals
• Molecular pathways regulating energy metabolism
• +۱۰ مورد دیگر

Dr. Jorke Kamstra is an Associate Professor at the Division of Toxicology, Institute for Risk Assessment Sciences (IRAS), Faculty of Veterinary Medicine, Utrecht University, where he leads the endocrine toxicology team. His research focuses on understanding how endocrine-disrupting chemicals (EDCs) interfere with molecular pathways regulating energy metabolism and cellular differentiation, particularly in metabolic diseases such as obesity and type 2 diabetes. Dr. Kamstra received his PhD from the Norwegian University of Life Sciences (NMBU) in 2017, where he studied transgenerational effects of environmental stress via epigenetic inheritance in zebrafish. Before his PhD, he worked for over a decade as a research technician at the Institute for Environmental Studies, Vrije Universiteit Amsterdam. In 2014, he earned his MSc in Molecular Cell Biology cum laude. His research centers on how metabolic disruptors act on transcriptional and epigenetic regulatory networks, influencing gene expression programs and shaping phenotypes. He is particularly interested in epigenetic reprogramming's role in mediating persistent or transgenerational effects of EDCs. His team combines mechanistic toxicology with systems-level approaches to uncover critical pathways underlying EDC-induced metabolic dysfunction. They develop and apply in vitro models or new approach methodologies (NAMs) to study effects on adipocyte, liver, and pancreas to identify chemical stressors with metabolism-disrupting potential. Current research topics include EDC effects on fatty liver disease (EDC-MASLD), BPA alternatives' effects on adiposity via PPAR gamma (PARC), and PFAS effects on adipogenesis and pancreas (AFARA). Analysis of Dr. Kamstra's publication record reveals a strong focus on epigenetic mechanisms of endocrine disruption, transgenerational effects, and metabolism-disrupting chemicals. His work spans from fundamental molecular mechanisms to applied risk assessment, with increasing emphasis on developing standardized in vitro models for regulatory purposes. Recent publications show growing interest in microplastics and nanoplastics effects on reproduction and early development. Dr. Kamstra has published extensively in high-impact journals, with his work cited widely in the fields of toxicology, epigenetics, and environmental health. His research has contributed significantly to understanding how environmental chemicals disrupt metabolic pathways through epigenetic mechanisms. He is actively involved in teaching courses including Advanced Toxicology and Health Effects Toxicology - Food, Pesticides and Drugs. His team includes PhD students and postdoctoral researchers working on various aspects of endocrine and metabolic disruption, contributing to the development of innovative, animal-free approaches for chemical safety assessment.

Torsten Schröderمشاهده پروفایل

استادیار

• Sustainability in Architecture
• Circular Economy
• Science and Technology Studies (STS)
• +۳ مورد دیگر

Torsten Schröder is an Assistant Professor at the Eindhoven University of Technology (TU/e) in the Department of the Built Environment , specializing in Sustainability in Architectural Design . He leads the Research Program of the Architectural Design and Engineering (AUDE) unit since 2022. Education: PhD in Sociology (London School of Economics, 2014), Architectural Degree (University of the Arts Berlin, 'sehr gut') His research combines Science and Technology Studies (STS) with practical architectural design to address sustainability challenges in urban development. Key themes include circular economy, biophilic design, and reorienting construction industry practices toward reused components. Recent publications focus on circular renovation of educational buildings, 3D green spaces in biophilic design, and architectural competition frameworks across Europe. His work emphasizes interdisciplinary collaboration and practical implementation strategies. Notable award: RIBA PhD Research Award (2015) Torsten organizes academic events like the Radical Architecture Practice for Sustainability (RAPS) Conference and the AHRA 2018 Conference , and has professional experience as a Senior Architect with Rem Koolhaas/OMA (2000-2006).

James Townsendمشاهده پروفایل

پژوهشگر

• deep generative models
• lossless compression
• unsupervised learning
• +۴ مورد دیگر

James Townsend, also known as Jamie, is a machine learning researcher at the Amsterdam Machine Learning Lab (AMLab) within the Informatics Institute at the University of Amsterdam. He completed his PhD in 2020 at the UCL AI Centre in London under the supervision of Professor David Barber. His educational background includes a PhD in lossless compression with latent variable models from University College London, with prior research contributions to the Autograd library and early development of JAX during a Google Brain internship in 2018. Townsend's research centers on deep generative models and lossless compression, extending to unsupervised learning, approximate inference, Monte Carlo methods, optimization, and machine learning software systems. His work bridges theoretical information theory with practical implementation, particularly in neural compression techniques. He has significantly contributed to open-source tools including Autograd and JAX, demonstrating expertise in automatic differentiation systems. His publication record spans high-impact venues like NeurIPS, ICLR, and ICML, with recent work focusing on innovative compression paradigms for complex data structures including graphs and multisets. Key contributions include shuffle coding, reversible programming for compression verification, and multiset compression techniques that challenge conventional approaches. Scientific recognition includes: Best Paper Award at Deep Generative Models and Downstream Applications Workshop (2021) Townsend actively participates in the research community through invited talks at Stanford's Information Theory Forum and the Languages for Inference workshop. His collaborations span academic institutions and industry partners like Google Brain, with current work centered on advancing lossless compression through deep learning at the AMLab. He maintains an active open-source presence via GitHub (@j-towns) and technical discourse on Twitter (@_j_towns), while publishing through Google Scholar under his formal name James Townsend.

Thomas Conzelmannمشاهده پروفایل

استاد

• International Relations
• Global Governance
• EU External Policy
• +۵ مورد دیگر

Thomas Conzelmann is a Full Professor of International Relations at Maastricht University's Faculty of Arts and Social Sciences (FASoS), serving as Director of the FASoS Graduate School since 2020. Previously, he held roles as Associate Dean of Research (2009-2013, 2018-2020) and Associate Professor (2007-2013). He earned his PhD from the University of Mannheim (2002) and holds an MA in Political Science from Heidelberg University. His research focuses on global governance mechanisms, particularly peer reviews among states and the authority of non-binding instruments. Education highlights include studies at FU Berlin, Victoria University of Manchester, and Heidelberg University, culminating in an MA with highest distinctions. His career also includes visiting research fellowships at the LSE and University of Birmingham. Research interests include global governance authority, EU external policy, and transnational private regulation. Major projects include the LIMES doctoral network (2020-2025) on border dynamics and the Legal Mobilization Platform addressing accountability challenges. He has secured €1.4M+ in grants, including a European Commission COFUND award. Publications emphasize peer review mechanisms, EU governance, and sustainable development. Supervision includes over 10 PhD candidates focusing on cybersecurity, sustainable development, and international organizations. Active in academic leadership, he coordinates courses on European diplomacy and global governance.

Dragan Bosnackiمشاهده پروفایل

استادیار

• Machine Learning
• Bioinformatics
• Computational Biology
• +۶ مورد دیگر

Dragan Bosnacki is an Assistant Professor at Eindhoven University of Technology (TU/e), holding joint appointments in the departments of Biomedical Engineering and Mathematics and Computer Science. He specializes in interdisciplinary research at the intersection of computer science and biomedicine, with a focus on machine learning, bioinformatics, and computational modeling of medical therapies. His work combines formal verification techniques, GPU-accelerated algorithms, and biomedical applications such as High Intensity Focused Ultrasound (HIFU) therapy modeling. Dr. Bosnacki earned his BSc in Electrical Engineering and MSc in Computer Science from Sts. Cyril and Methodius University (Macedonia), followed by a PhD in Mathematics and Computer Science at TU/e under Professors Jos Baeten and Dennis Dams. He has pioneered advancements in parallel model checking and contributed significantly to the SPIN model checking tool. His research also spans separation logic, biomedical data analytics, and the application of mathematical methods to biological systems. Education: BSc in Electrical Engineering, Sts. Cyril and Methodius University (Macedonia) MSc in Computer Science, Sts. Cyril and Methodius University (Macedonia) PhD in Mathematics and Computer Science, TU/e (2001) Research Interests: Mechanisms of machine learning for biomedical data Formal verification of hardware/software systems GPU-optimized algorithms for computational biology Mathematical modeling of HIFU cancer therapies Reconstruction of biological networks and drug response modeling Teaching: Advanced programming and biomedical data analysis Simulation of biochemical systems Programming for data analytics Capita selecta in bioinformatics Thermodynamics & chemical kinetics Key Contributions: Co-developed GPU-based model checking tools (e.g., GPUexplore) Improved partial-order and symmetry reduction techniques Contributions to the SPIN model checker and VeriFast tool Advising: Supervised 37 academic works, focusing on interdisciplinary projects in computational biology and formal methods.

Boris Karanovمشاهده پروفایل

پژوهشگر ارشد

• Optical Fiber Communications
• Digital Signal Processing
• Deep Learning
• +۵ مورد دیگر

Boris Karanov is a post-doctoral research member at the Signal Processing Systems Group within the Department of Electrical Engineering at Eindhoven University of Technology since October 2020. His research focuses on applying deep learning techniques to digital signal processing in optical fibre communications. His academic background includes a Ph.D. in Electrical Engineering from University College London (awarded December 2020), where his research focused on developing new coding and detection methods for communication over the nonlinear dispersive optical fibre channel using deep learning. He also holds joint M.Sc. degrees in Photonic Networks Engineering from Aston University, Osaka University, and Technical University of Berlin (2016), and a B.Sc. in Telecommunication Engineering from Technical University of Sofia (2014). Dr. Karanov's research interests span optical fiber communications, digital signal processing, deep learning applications in communications, nonlinear fiber effects, and transceiver design. His work bridges theoretical communication principles with practical AI-driven solutions for next-generation communication systems. His recent publications demonstrate a strong trend toward applying neural networks and deep learning techniques to solve challenging problems in optical communications, radar signal processing, and speech enhancement. The research shows increasing focus on robustness of AI solutions under real-world constraints and imperfect channel conditions. Nokia 'Most innovative AI solution' award (2018) for pioneering work in machine learning applications to communication systems 'Best paper award' from IEEE/OSA Journal of Lightwave Technology (2021) Lombardi prize from Electronic and Electrical Engineering department at UCL (2021) for the most impactful thesis Dr. Karanov is actively involved in multiple research projects including RAISE SPS (Robust AI for Safe radar signal processing), RAIDAR (AI for RaDAR), and ICONIC (Increasing the Capacity of Optical Nonlinear Interfering Channels), collaborating with institutions across Europe. His work in the Signal Processing Systems Group at Eindhoven University of Technology continues to push the boundaries of applying AI to communication challenges.

Helena Houvenaghelمشاهده پروفایل

استاد

• Transnationalism
• Refugees
• Exile
• +۷ مورد دیگر

Prof. Helena Houvenaghel is a Professor of Spanish and Modern and Contemporary Literature at Utrecht University's Faculty of Humanities. She specializes in transnationalism, refugee studies, gender, and cultural identity, focusing on Spanish and Latin American contexts. Her research emphasizes women's experiences in exile and migration, particularly through the Fenix Network, which she coordinates. She holds leadership roles in interdisciplinary projects like CAREXIL and InGenArte, and has been a Writer-in-Residence at COLMEX (El Colegio de México). Her work spans literary analysis, historical exploration, and gender studies, with a focus on 19th-21st century migration narratives. Key contributions include studies on Angelina Muñiz-Huberman, Rosa Chacel, and Maria Casarès' epistolary networks. She regularly publishes in journals like Romance Quarterly and America sin Nombre , and edits special issues on topics like transnational identities and women's exile experiences.

Patrick P.J.H. Langenhuizenمشاهده پروفایل

استادیار

• Medical Imaging
• Neuroscience
• Artificial Intelligence
• +۳ مورد دیگر

Patrick P.J.H. Langenhuizen is an Assistant Professor in the Department of Electrical Engineering at Eindhoven University of Technology (TU/e). His research focuses on medical imaging technologies, particularly applying artificial intelligence and computer vision to neurology and oncology challenges. He has contributed to projects involving automated tumor analysis, 3D medical shape datasets, and livestock phenotyping systems. Education: Master’s thesis on optical coherence tomography for biological tissue imaging (2015) under supervisors E.A.J.M. Bente and S. Zinger. Research Interests: Specializes in medical imaging applications including vestibular schwannoma growth prediction, automated segmentation reliability, and AI-driven diagnostics. Explores computer vision techniques for both clinical and agricultural contexts. Key Projects: Leads the SMART TURKEYS VCA project for automated livestock monitoring and the personalized brain tumor care pathway initiative. Collaborates on radiomics and MRI-based tumor progression studies. Advising & Grants: Participates in two funded projects (2019-2025) involving €1.7M+ in research funding. Advises on interdisciplinary teams combining engineering and medical expertise. Labs/Teams: Works within TU/e’s Video Coding & Architectures group and collaborates with medical imaging research teams across disciplines.