جست‌وجوی استاد و پژوهشگر

• Laser Physics
• Perfusion Imaging
• Biomedical Optics
• +۵ مورد دیگر

Tom Knop is a Researcher in the Biomedical Photonic Imaging group at TechMed Centre, specializing in advanced optical techniques for medical applications. His work focuses on developing and refining imaging technologies for clinical diagnostics and biological analysis. Research Interests: Knop's primary research explores laser-based measurement systems with applications spanning dermatology, surgery, and food science. Key areas include: Laser speckle contrast imaging for microcirculation assessment Motion artifact reduction in handheld medical devices Wavefront shaping microscopy for aberration correction Optical characterization of biological tissues and fluids Development of open-source tools for optical experimentation Publications: His recent publications (2024-2025) demonstrate consistent focus on improving optical measurement reliability in clinical contexts. Work includes novel motion mitigation techniques in psoriasis imaging, adaptive microscopy through glass barriers, perfusion monitoring during reconstructive surgery, and methodological comparisons for biological particle analysis. Activities: He actively presents research at scientific conferences, including recent talks on handheld blood flow imaging and multi-spectral photoplethysmography signal analysis.

C. (Chrysa) Papagianniمشاهده پروفایل

استادیار

• Network Softwarization
• Software-Defined Networking
• Network Slicing
• +۷ مورد دیگر

Dr. C. (Chrysa) Papagianni is an Assistant Professor at the Informatics Institute within the Faculty of Science, Mathematics and Computer Science at the University of Amsterdam . She holds a Ph.D. in Electrical and Computer Engineering from the National Technical University of Athens and has held academic and research positions at institutions including the University of Maryland, Hellenic Open University, and Nokia Bell Labs (Belgium). Ph.D., Electrical and Computer Engineering, NTUA (2009) M.Sc., Information Systems (2017-2019), Hellenic Open University Her research focuses on network softwarization , SDN , network slicing , and AI/ML-driven network intelligence for next-generation networks. Recent work explores machine learning for resource allocation , programmable data planes , and intent-based networking . Her publications span journals like IEEE Transactions on Network and Service Management and conferences including IEEE ICC and IEEE CoNEXT . Key projects include NSF FABRIC , H2020 FED4FIRE+ , and 5Growth platform development. She contributes to technical standards in edge computing and cloud-native networks via 5GPPP white papers.

Silvia Stopponiمشاهده پروفایل

پژوهشگر

• Digital and Computational Classics
• Ancient Greek Language and Culture
• Natural Language Processing
• +۴ مورد دیگر

Silvia Stopponi is a PhD student at the University of Groningen's Faculty of Arts, working within the Computational Linguistics department under the supervision of Professor Malvina Nissim and Dr. Saskia Peels-Matthey. She holds an MA in Philology, Literature and Classical Tradition from the University of Bologna (2020), where she graduated with highest honors (110/110 e lode), and a BA in Humanities (Classics Curriculum) from the same institution. Her research focuses on the intersection of Digital Humanities and Computational Linguistics, specifically applying Natural Language Processing techniques to Ancient Greek language and texts. Stopponi's work centers on semantic change detection in ancient Greek, particularly within religious contexts, using computational methods and language models. She has developed significant research tools including AGALMA (Ancient Greek Accessible Language Models for linguistic Analysis), which allows non-programmers to query Ancient Greek language models, and contributed to AGILe , the first lemmatizer for Ancient Greek inscriptions. Stopponi is also an active organizer of academic events, notably the Computational Approaches to Ancient Greek and Latin workshop, now in its third edition (2024). Principal Investigator for AGALMA project Co-developer of AGILe lemmatization system Organizer of Computational Approaches to Ancient Greek and Latin workshop Her recent publications demonstrate a strong research trajectory in applying cutting-edge NLP techniques to classical languages, with particular emphasis on semantic analysis, lemmatization, and making computational tools accessible to humanities scholars without programming expertise.

• Astrophysics
• Gravitational Waves
• Binary Evolution
• +۳ مورد دیگر

Dr. Marc van der Sluys van der Sluijs is a researcher at Utrecht University's Department of Gravitational and Subatomic Physics (GRASP) and the Dutch National Institute for Nuclear and High Energy Physics (Nikhef) in Amsterdam. His academic focus spans gravitational-wave detection, binary evolution, and computational astrophysics, with active roles in the Virgo, LIGO, and Einstein Telescope collaborations. Research Interests: His work centers on gravitational-wave data analysis, neutron star and black hole coalescences, common-envelope evolution, and multi-messenger astronomy. He employs heavy computing and Bayesian statistics for empirical modeling of astrophysical phenomena. Teaching: He teaches Introduction to Astrophysics and Stellar Evolution in Utrecht University's physics bachelor program. Publications: His recent articles (2019–2025) predominantly explore gravitational-wave detection methodologies, dark matter searches, and solar position algorithms. Key themes include machine learning applications in astrophysics, multi-instrument data analysis, and open-source software development for scientific computation. Ancillary Activities: He founded hemel.waarnemen.com , a popular Dutch astronomy website with 1–2 million annual visits, providing observational guides for celestial phenomena in Belgium and the Netherlands.

• Earth Observation and Remote Sensing
• Machine Learning and AI
• Citizen Science and Participatory Planning
• +۴ مورد دیگر

Rosa Maria Aguilar Bolivar is an Assistant Professor at the Department of Geo-Information Processing, Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente. Her work bridges geospatial technology, machine learning, and participatory planning, with a focus on urban sustainability and food security challenges.

Pascal van Gastelمشاهده پروفایل

مدرس

• Software Engineering
• Object-Oriented Programming
• Software System Design
• +۳ مورد دیگر

Pascal van Gastel serves as a Lecturer in the Computer Science program at Avans University of Applied Sciences in Breda and as a researcher within the Applied Responsible Artificial Intelligence group at the Centre of Expertise Perspective in Health. He is currently preparing a PhD program focused on data privacy initiatives. His educational background includes: Advanced Computer Science program at West Brabant University of Applied Sciences (completed late 1990s) Master's degree in Software Engineering from the Open University (2018) Van Gastel's research spans software engineering processes, object-oriented programming, and software system design, with additional expertise in databases, software security, and data privacy. His current work centers on anonymizing datasets using domain characteristics and data models through the data washing machine project, reflecting interdisciplinary applications in healthcare technology. No scientific awards were documented in the source material. He has held significant institutional roles including curriculum committee member and team development coordinator at Avans University. While actively developing a PhD program in data privacy, specific grant funding or student advising details remain undisclosed. His primary research affiliation is with the Applied Responsible Artificial Intelligence group under the Centre of Expertise Perspective in Health, where he integrates practical software engineering with ethical AI development.

Xi Wuمشاهده پروفایل

استادیار

• Information Economics
• Digital Platforms
• Mobile Applications
• +۵ مورد دیگر

Xi Wu serves as Assistant Professor in the Department of Information Systems and Operations Management at Tilburg School of Economics and Management, Tilburg University. Her research examines how technologies transform value creation and capture processes in firms, with expertise spanning information economics, digital innovation, and technology policy. She earned her Ph.D. from Temple University's Fox School of Business in 2022. Her educational foundation includes a doctoral degree in Management Information Systems from Temple University, where she developed advanced methodological training in econometrics and analytical modeling. This background supports her interdisciplinary research approach bridging information systems, economics, and law. Dr. Wu's research program investigates critical questions in digital economies, focusing on digital platforms, mobile applications, software development ecosystems, and intellectual property frameworks. She examines how legal environments shape innovation (particularly through side projects), how subsidies influence sustainable technology adoption, and how data regulations affect market competition. Her work employs sophisticated econometric techniques, machine learning applications, and theoretical modeling to generate actionable insights for both academic and policy communities. Recent publications reveal a consistent trajectory examining institutional and technological factors in digital markets. The 2025 MIS Quarterly article analyzes legal frameworks around side project ownership using landmark case evidence, while the 2023 Journal of Public Policy & Marketing study quantifies electric vehicle subsidy impacts. Working papers extend this agenda to data privacy regulations, mobile app development responses to breaches, and open innovation in AI models, demonstrating methodological versatility across policy-relevant domains. Dr. Wu actively contributes to academic instruction through courses including Computer Programming for EOR, Society in the Digital Age, and Data Analytics. Her teaching integrates real-world technology policy challenges with technical skills development. Current research projects indicate active grant involvement in digital economy studies, though specific funding sources aren't detailed in available materials. She maintains collaborative relationships across institutions as evidenced by multi-university co-authorships and international research networks.

• Brain Connectivity
• Cognitive Neuroscience
• Language Processing
• +۵ مورد دیگر

Dr. Jan Mathijs Schoffelen serves as Associate Principal Investigator at Radboud University's Donders Institute for Brain, Cognition and Behaviour, where he leads research on brain connectivity using MEG and EEG methodologies. He represents the Norris PI group in the DCCN Representative Council and is a core developer of the globally adopted FieldTrip open-source analysis toolbox, contributing to major initiatives including the Human Connectome Project and MOUS. His research centers on neural synchronization mechanisms during cognitive processes, particularly investigating how brain rhythms facilitate inter-regional communication in language tasks. He addresses critical challenges in non-invasive electrophysiology including signal-to-noise optimization and source reconstruction validity, advancing methods to interpret neural interactions in healthy human cognition where invasive techniques are impossible. Publications reveal consistent focus on gamma-band coherence in sensorimotor systems, attentional modulation through synchronization, and computational frameworks for connectivity analysis. His work bridges theoretical neuroscience with practical tool development, demonstrating growing emphasis on language processing applications alongside foundational motor and visual system investigations. Scientific recognition includes: Young investigator award at Biomag conference, Sapporo (2008) NWO VIDI-grant for independent research leadership (2015) As Principal Investigator, he directs the FieldTrip project while contributing to large-scale collaborations like the Human Connectome Project. His NWO VIDI grant supports methodological innovations for non-invasive connectivity analysis, enabling new investigations into cognitive neuroscience. Embedded within the Donders Institute's Norris research group, he collaborates through the international FieldTrip community to advance electrophysiological analysis standards, maintaining active development of open-source tools that serve thousands of neuroscientists worldwide.

• Software Engineering
• Cloud Computing
• Self-Adaptive Systems
• +۷ مورد دیگر

Elisabetta Di Nitto serves as Full Professor at Politecnico di Milano within the Department of Electronics, Information and Bioengineering, teaching Software Engineering 2 and Informatica B (in Italian). Her academic leadership extends to editorial and conference organization roles across premier software engineering venues. Her research program centers on evolving software systems through: Cloud-native application engineering and elasticity management Self-adaptive architectures for dynamic environments Service-centric and autonomic computing paradigms NoSQL database integration and scalability challenges Global/open source development methodologies Dr. Di Nitto has significantly shaped the field through editorial stewardship of ACM Transactions on Software Engineering and Methodology, IEEE Transactions on Software Engineering, SOCA Journal, and Journal of Software: Evolution and Process. She chaired pivotal conferences including ESEC/FSE 2015 (General Chair), SEAMS 2020, ASE 2010, and ServiceWave 2010 (Program Co-Chairs). No scientific awards were documented in the provided materials. Her mentorship encompasses numerous Master's students whose theses address cloud migration frameworks, software forge awareness, QoS optimization in decentralized clouds, and scalable NoSQL relation handling.

Pep Canyelles Pericàsمشاهده پروفایل

پژوهشگر

• Open-source electronics
• Instrumentation
• Rapid prototyping and design
• +۶ مورد دیگر

Dr. Pep Canyelles Pericàs is a researcher at the University of Twente's Faculty of Electrical Engineering, Mathematics and Computer Science, based in Room Carré 3413 with contact email j.canyellespericas@utwente.nl. His research spans interdisciplinary engineering domains including: Open-source electronics development Advanced instrumentation design Rapid prototyping methodologies Acoustofluidics for microfluidic control Raman spectroscopy applications Dynamical systems (synchronization, oscillators) Control theory and observer design He leads research activities at the RaM laboratory, focusing on integrated hardware-software solutions for measurement and control systems. No scientific awards were documented in the source material. The text provides no details regarding student supervision or research funding. Laboratory work centers on experimental validation of control systems through custom electronics and rapid prototyping techniques.