جست‌وجوی استاد و پژوهشگر

• Health Care Management
• Integrated Care
• Strategic Innovation
• +۵ مورد دیگر

Prof. Dr. Mirella Minkman serves as Endowed Professor holding the Vilans Chair in Innovation of Organization and Governance of Integrated Care at Tilburg University's TIAS School for Business and Society. She simultaneously chairs the Board of Directors of Vilans, the Dutch knowledge organization connecting science, practice, policy and education in long-term care. Her international roles include board membership at the International Foundation for Integrated Care (IFIC), editorial position at the International Journal of Integrated Care, advisory roles with WHO's Integrating the Health and Care Workforce group, and membership in the UK Center for Evidence IMPACT's Critical Friends Group. Her research focuses on person-centered integrated care systems, exploring governance innovations through leadership, oversight and accountability mechanisms. She investigates collaborative models including networks, alliances and caring communities, with particular emphasis on long-term care transformation. Her work bridges theoretical frameworks with practical implementation through large-scale innovation programs addressing systemic healthcare challenges. Analysis of her recent publications reveals consistent focus on governance challenges in integrated care systems, with emerging attention to AI ethics in elderly care and cross-sectoral service integration. Her work demonstrates strong emphasis on practical implementation frameworks, stakeholder alignment, and value-based healthcare transformation across European contexts. Minkman actively contributes to healthcare policy development through leadership roles including chairing the Dutch Healthcare Supervisory Board's Governance Innovation Committee and the Scientific Advisory Council of the Dutch Association of Healthcare Supervisors. She serves as healthcare supervisor at RIBW Brabant and Rivierenland Hospital while co-leading the VGN expert committee with fellow professors. Her organizational leadership extends to hosting public knowledge platforms connecting professionals and citizens, developing implementation programs for cross-domain partnerships, and directing Vilans' knowledge infrastructure strengthening initiatives. Recent publications include the 2023 books 'Supervising Collaboration' and 'Care for Transition' co-edited with Peter van der Voort and Nardo van der Meer.

Alberto Ravagnaniمشاهده پروفایل

دانشیار

• Coding Theory
• Network Communication
• Combinatorics
• +۴ مورد دیگر

Alberto Ravagnani is an Associate Professor in the Department of Mathematics and Computer Science at Eindhoven University of Technology (TU/e), the Netherlands. He specializes in the mathematical foundations of communication theory, with a focus on coding theory, network communication, and combinatorics. His research addresses challenges in error-correcting codes, network coding, quantum error correction, and applications in data storage and cryptography. He holds a PhD from the University of Neuchâtel, Switzerland, and has held academic positions at institutions including University College Dublin, Ireland, and the University of Zurich. His work has been recognized with awards such as the KNAW Early Career Award (2021), Ambizione Research Grant (2019), and the Nexans Prize (2017). Ravagnani’s research spans theoretical and applied domains, including rank-metric codes, network decoding, and combinatorial structures. His recent publications explore eigenvalue bounds for codes, densities in metric spaces, and evasive subspaces. He is actively involved in editorial roles for journals like IEEE Transactions on Information Theory and Designs, Codes and Cryptography. His teaching includes courses on coding theory and combinatorics, and he has mentored multiple PhD students in areas such as DNA storage and quantum error correction. Key grants include a NWO Gravitation Grant (EUR 10M) and an EuroTech PhD Program Grant (EUR 235K).

• Occupational Hygiene
• Epidemiology
• Chemical Agents
• +۵ مورد دیگر

Prof. Dr. J. (Hans) Kromhout is a Professor at the Faculty of Veterinary Medicine, Utrecht University, affiliated with the Institute for Risk Assessment Sciences (IRAS) and the One Health Chemical research domain. His expertise spans occupational hygiene and epidemiology, focusing on health effects of chemical and physical agents like electromagnetic fields, pesticides, and ultrafine particles. He has led large international studies in industries such as asphalt, rubber, and agriculture, as well as community-based research on cancer and neurodegenerative diseases. Current projects include occupational exposure to chromium-6 and pesticides linked to prostate/breast cancer. Chair of the Working Group 2 for the European Code Against Cancer (ECAC5) update. Editor-in-Chief of Occupational and Environmental Medicine (BMJ Publishers). Research areas include Life Sciences and Pathways to Sustainability. He has contributed to media discussions on glyphosate, MRI scanner risks, EMF exposure, and Parkinson’s disease-pesticide links since 2014. Secondary roles: Advisor to WHO on radiofrequency fields, member of advisory boards for Annals of Work Environment and Health and La Isla Network. Contact via h.kromhout@uu.nl or visit his profile on Utrecht University’s research portal.

Fons van der Sommenمشاهده پروفایل

دانشیار

• Medical Image Analysis
• Computer-Aided Diagnosis
• Artificial Intelligence
• +۲ مورد دیگر

Fons van der Sommen is an Associate Professor in Electrical Engineering at Eindhoven University of Technology, specializing in Video Coding & Architectures. He leads research on computer-aided detection systems for early cancer diagnosis, particularly focusing on esophageal and colorectal neoplasia through advanced AI and computer vision techniques. His research interests span medical image analysis, AI-assisted diagnostics, and developing robust systems for clinical deployment. Recent publications focus on overcoming real-world implementation challenges of AI in endoscopy and enhancing the trustworthiness of diagnostic systems. Recent research trends show strong emphasis on surgical AI applications (robot-assisted procedures), generative models for medical data augmentation, and quality assurance frameworks for clinical AI deployment. His work integrates deep learning with clinical validation across gastrointestinal and pulmonary oncology. TU/e Best PhD Thesis Award (2018) Best Poster Presentation (2017, 2013) He coordinates multiple research projects including TASTI-XECS221002 (Advanced AR for AI-based Servitization) and XL-ARGOS (extended reality solutions). Manages collaborations with medical centers on AI implementation for cancer screening.

• Genetics
• Genomics
• Functional Genomics
• +۴ مورد دیگر

Harm Jan Westra is a computational geneticist with a PhD in Genetics from the University of Groningen. His career includes research fellow positions at Brigham and Women's Hospital, Broad Institute, and Harvard Medical School from 2014 to 2017. He specializes in functional genomics and systems biology, focusing on mechanisms linking genetic variation to complex diseases. Education: PhD in Genetics (University of Groningen, 2014) His research spans genome-wide association studies (GWAS), epigenetics, and microbiome interactions. He develops computational frameworks to connect rare disease genes to common pathologies through tissue-specific networks and investigates DNA methylation pathways in metabolic regulation. Collaborative work includes autoimmune disease mechanisms via T peripheral helper cell biology. Key contributions include integrating multi-omics data to identify age-related genes, obesity-associated systems genetics models, and microbiome-host epigenetic interactions. His work aligns with UN Sustainable Development Goal 3 (Good Health and Well-being). Scientific Awards: PhD in Genetics (University of Groningen, 2014)

Matthias Christandlمشاهده پروفایل

استاد

• Quantum Information Theory
• Quantum Cryptography
• Mathematical Physics
• +۳ مورد دیگر

Matthias Christandl is a Professor of Mathematical Sciences at the University of Copenhagen, leading the Quantum for Life Center (Novo Nordisk Foundation) and co-PI of the VILLUM Foundation's QMATH center. He also heads the UCPH Quantum Hub, a cross-faculty initiative. His research focuses on quantum information theory, quantum cryptography, and mathematical physics, with contributions to quantum algorithms, tensor networks, and algebraic complexity. During 2024–2025, he holds the Turing Chair at QuSoft/CWI in Amsterdam, fostering collaborations in quantum software and theory. Education: PhD (2006, University of Cambridge), Diploma (2002, ETH Zurich). Previous roles include Assistant Professorships at ETH Zurich (2010–2014) and University of Munich (2008–2010), and postdoctoral research at Cambridge (2005–2008). Research interests span quantum communication protocols, entanglement verification, and the interplay between quantum mechanics and information processing. His work bridges theoretical computer science, mathematics, and physics, with key results in quantum position verification, tensor rank analysis, and fault-tolerant quantum coding. Scientific awards include ERC Starting (2013) and Consolidator Grants (2018), and election to the Royal Danish Academy of Sciences and Letters (2016). Major collaborations involve QuSoft, CWI, and international teams in quantum information and complexity theory. Grants and leadership: ERC grants, VILLUM Foundation, and Novo Nordisk Foundation funding. His group actively mentors PhD/postdoc researchers and contributes to quantum education via the MSc Quantum Computer Science program.

• Philosophy of Artificial Intelligence
• Cognitive Science
• Neuroscience
• +۳ مورد دیگر

Carlos Zednik is an Assistant Professor for Philosophy of Artificial Intelligence at Eindhoven University of Technology , affiliated with the Industrial Engineering and Innovation Sciences department. He leads the Eindhoven Center for Philosophy of AI and participates in the alignAI (ERC) and ROBUST AI (NWO) consortia. His work bridges philosophy with AI and neuroscience, focusing on explainable AI (XAI), mechanistic explanation, and cognitive modeling. Education: BSc in Computer Science and Philosophy, Cornell University MSc in Philosophy of Mind, University of Warwick PhD in Cognitive Science, Indiana University Bloomington Zednik’s research investigates philosophical questions about biological and artificial intelligence, emphasizing: Methodological principles in cognitive psychology and neuroscience Norms and best practices for XAI in machine learning Knowledge representation in transformer models and large neural networks His recent publications explore the integration of cognitive models into XAI, the role of Bayesian reverse-engineering in cognitive science, and the mechanistic explanation of network neuroscience. Zednik also contributes to international standardization efforts through ISO/IEC TS 6254 and DIN SPEC 92001 . Scientific Awards include fellowships from: DAAD Alexander-von-Humboldt Foundation StandICT Fellowship Zednik supervises PhD students Zeynep Kabadere , Michela Ghezzi , Céline Budding , Miriam Gorr , and Hannes Boelsen , while mentoring postdocs Manuel Barbosa de Oliveira and Philippe Verreault-Julien . His teaching spans philosophy of AI, ethics of machine learning, and decision theory, with innovation projects on generative AI in higher education.

Petr van Bloklandمشاهده پروفایل

مدرس

• Type Design
• Typography
• Graphic Design
• +۵ 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.

Robert Fliermanمشاهده پروفایل

استادیار

• Late Antiquity
• Medieval Latin
• Early Middle Ages
• +۳ مورد دیگر

Dr. Robert Flierman is an Assistant Professor in Medieval Latin at Utrecht University's Department of Languages, Literature and Communication , affiliated with the Institute for Cultural Inquiry and the Utrecht University Centre for Medieval Studies (UU CMS), where he serves as chair. His research focuses on Early Medieval Europe , particularly Medieval Latin , Epistolary Performance , and Citizenship Discourses , as explored in his co-edited volume City, Citizen, Citizenship, 400–1500 (2024). Research Projects : Leads the NWO VIDI project 'Lettercraft and Epistolary Performance in Early Medieval Europe' , analyzing medieval letters as performative tools for cross-social communication. Teaching : Courses include 'Early Medieval History and Pseudo-history in the Insular World,' 'Latin as a Medieval Universal Language,' and 'Medieval Latin Culture.' Academic Contributions : His 2017 monograph Saxon Identities AD 150–900 examines Saxon identity formation. Recent publications (2021–2024) address topics like the Merovingian letter's role, civic behavior in hagiography, and the Capitulatio de Partibus Saxoniae . His work bridges textual analysis, urban studies, and political communication during the Late Antiquity and Early Middle Ages .

• Medieval Literature
• Translation Studies
• Reception Studies
• +۵ مورد دیگر

Dr. Natalia Petrovskaia is an Assistant Professor at Utrecht University's Department of Languages, Literature and Communication , specializing in Celtic Studies within the Humanities faculty. She serves as Program Coordinator for the BA in Celtic Languages and Culture Domain Coordinator for the Humanities Honours Programme Board Member of the Utrecht University Centre for Medieval Studies Having earned her PhD at the University of Cambridge and held a Clare Hall Research Fellowship (2012-14), she later received a Humboldt Research Fellowship (2016) at Philipps-Universität Marburg. Her research focuses on Medieval geographical traditions Textual translation/transmission Arthurian literature Encyclopedic knowledge systems Reception studies History of the book Her recent publications include monographs like Transforming Europe (2025) analyzing Imago mundi translations, and The Modern Afterlives of Old Irish Travel Narratives (2025) exploring connections between Star Trek and medieval Irish texts. She contributes to Queeste as a reviews editor and organizes public engagement events like 'Cracking the Celtic Code' at the Weekend of Science. Scientific Awards : NWO Veni Award (2016) Arthurian Essay Prize (2021) Global Engagement Fund Award (2025) She supervises the PhD project 'Empowering Individuals, Opening Cities' with Arnoud Visser and Rozanne Verdendaal, and teaches courses ranging from Old Irish to Media and Persuasion in Premodern Europe .

• Computer Science
• Artificial Intelligence
• Explainable AI
• +۱۶ مورد دیگر

Faizan Ahmed is a Lecturer in the Formal Methods and Tools department at the University of Twente, part of the Faculty of Electrical Engineering, Mathematics and Computer Science. His work spans artificial intelligence, machine learning, and education technology. Research Focus: Explainable AI, software design, railway infrastructure analysis, and nonlinear equation optimization. Collaborations: Active in international conferences like CSEDU and FTC, with co-authors from diverse institutions. Key Contributions: Development of C-SHAP for temporal explanations, IterSHAP for feature selection, and studies on generative AI in programming education.

Syed Muhammad Anwarمشاهده پروفایل

دانشیار

• Multimedia Communication and Signal Processing
• Image and Video Coding
• Multimedia Content Analysis
• +۱۶ مورد دیگر

Syed Muhammad Anwar serves as an Associate Professor in Software Engineering at the University of Engineering and Technology (UET) Taxila, Pakistan. He maintains a significant dual affiliation with the Sheikh Zayed Institute at Children's National Hospital in Washington, DC, USA. Additionally, he holds leadership roles as Co-founder and CTO of Sense Digital PVT. Ltd. and Director of both the Virtual Reality and Machine Learning Lab and the Signal Image Multimedia Processing and Learning (SIMPLE) Group at UET Taxila. Dr. Anwar's research spans multiple cutting-edge domains at the intersection of signal processing, machine learning, and medical applications. His primary research interests include: Multimedia Communication and Signal Processing Image and Video Coding and Quality Assessment Biomedical Signal Processing and Brain-Computer Interfaces Medical Imaging including Segmentation, Detection, and Diagnosis Deep Learning applications in healthcare diagnostics Emotion Classification and Human Behavior Modeling His recent scholarly output demonstrates a strong emphasis on applying deep learning techniques to medical image analysis challenges, particularly in brain tumor segmentation, liver tumor detection, and Alzheimer's disease classification. There's also significant work in EEG-based applications including emotion recognition, stress quantification, and game expertise classification. His research effectively bridges theoretical machine learning advances with practical healthcare applications, showing particular strength in adapting deep learning architectures to medical imaging challenges across multiple organ systems. Dr. Anwar actively mentors the next generation of researchers through his leadership of the SIMPLE research group. His current advisees include: PhD Students: Sanay Muhammad Umar Saeed (Quantification of human stress), Romana Farhan (Security in body area networks), Nosheen Sohail (Medical Image Analysis), Amin Ullah (Knowledge extraction), and Saqib Mehboob (Structural health monitoring) MS Students: Haseeb Iftikhar (Doctor recommender system), Faizah Malik (Sentiment analysis), Samreena Aslam (Fashion image retrieval), Huma Shabbir (Fashion image tagging), Khola Rafiq (Ischemic stroke detection), and Saba Naseem (Blood vessel segmentation) As Director of the Virtual Reality and Machine Learning Lab and the SIMPLE research group, Dr. Anwar oversees a dynamic research environment focused on advancing signal processing, multimedia analysis, and machine learning applications, particularly in healthcare contexts. His lab maintains strong collaborations between UET Taxila and international institutions, including Children's National Hospital in Washington DC, facilitating technology transfer between academic research and clinical practice.

Engelbert Hubbersمشاهده پروفایل

مدرس

• Formal Methods
• Electronic Voting Systems
• Cybersecurity
• +۳ مورد دیگر

Engelbert Hubbers is a Lecturer at Radboud University, affiliated with the Digital Security Group within the Institute for Computing and Information Sciences (iCIS). His primary role involves teaching responsibilities across multiple courses such as Mathematical Structures, Formal Reasoning, and Logic and Applications. His research interests focus on formal methods, electronic voting systems, and discrete mathematics, with a particular emphasis on cybersecurity applications like Java Card security and e-passport systems. Engelbert has contributed to significant projects such as the RIES internet voting system and the KOA remote voting system, emphasizing formal verification and secure protocol design. He has held roles in academic governance, including membership in the Exam Committee and Program Committee of iCIS. His work bridges theoretical computer science with practical applications in secure voting technologies and embedded systems. Publications span topics from formal logic in education to cryptographic protocols, reflecting his transition from foundational research (e.g., polynomial automorphisms) to applied security. His teaching includes coordinating courses on formal reasoning, discrete mathematics, and semantics, demonstrating a commitment to both education and cybersecurity innovation.

Fanny Chenمشاهده پروفایل

پژوهشگر

• Socially Responsible Purchasing
• Procurement Ethics
• Value-Based Purchasing
• +۴ مورد دیگر

Fanny Chen is a PhD candidate at the RSM Erasmus University in the Netherlands, affiliated with the Department of Technology and Operations Management . Her research focuses on ethics, integrity, and sustainability in procurement, particularly within the public and humanitarian sectors. Research Interests : Socially responsible purchasing Ethical procurement practices Sustainable humanitarian procurement Experimental studies on managerial influence Her work has been recognized with Best Reviewer Awards from the Academy of Management (2024, 2025) and a Best Paper Finalist award (2025). She has also contributed to academic service through conference organization, journal ambassadorship, and teaching roles in supply chain ethics and sustainability. Academic Service & Collaborations : Co-organized the IPSERA Conference 2025 Visited Ohio State University (2024) and University of Liverpool (2023) for research collaborations Active in the Young@EUR network for early-career scholars

• Cryptography
• Quantum Cryptography
• Post-Quantum Cryptography
• +۳ مورد دیگر

Fiona Weber is a researcher at the School of Mathematics and Computer Science , Eindhoven University of Technology , specializing in Coding Theory and Cryptology . Her work focuses on post-quantum cryptography, quantum key distribution, and authentication protocols, with collaborations spanning national and international institutions. Education: MSc in Mathematics and Computer Science; PhD in Cryptography (2025) from Eindhoven University of Technology. Research Interests: Fiona Weber's research explores the intersection of quantum cryptography and classical cryptographic protocols. Her recent projects analyze the practical deployment of quantum key distribution, compare it with post-quantum cryptographic standards, and investigate methods to achieve confidentiality in quantum environments. Key themes include Diffie-Hellman-Merkle key exchange , forward secrecy , and keying material generation. Publications: Fiona has contributed to advancements in post-quantum cryptography through peer-reviewed articles and preprints, including analyses of KpqC candidates and protocols for quantum-resistant security. Her work often addresses the challenges of transitioning classical cryptographic systems to quantum-secure frameworks.