جست‌وجوی استاد و پژوهشگر

• Dynamics of Innovation
• Regulatory Sciences
• Economics of Science and Innovation
• +۵ مورد دیگر

Dr. Jarno Hoekman is an Associate Professor in Innovation Studies at the Copernicus Institute of Sustainable Development, Utrecht University. His research focuses on the dynamics and governance of science in the context of innovation, regulation, and societal challenges, with particular emphasis on sustainability and health. He is affiliated with both the Copernicus Institute of Sustainable Development and the Utrecht collaborating Centre for Pharmaceutical Policy & Regulation in the Department of Pharmaceutical Sciences. Dr. Hoekman serves as the programme leader of the research master in Innovation Sciences and teaches academic integrity courses to Master students and PhD candidates. Dr. Hoekman's research is organized around three interconnected themes: Science in transition , examining how scientific practices and institutional arrangements are evolving through open science, interdisciplinary research collaborations, and alternative recognition systems; Regulatory science and innovation , investigating innovations in tools and standards for assessing risks and benefits of new technologies, including safety assessment methods and regulatory authorization standards; and Geography of science , exploring the role of location factors in scientific knowledge production and diffusion. Analysis of Dr. Hoekman's recent publications (2022-2024) reveals a strong interdisciplinary focus spanning pharmacology, toxicology, innovation studies, and science policy. Key research trends include examining conditional marketing authorization pathways, post-approval studies for conditionally authorized medicines, animal-free safety testing methodologies, and the societal impact of transdisciplinary research projects. His work frequently employs mixed-methods approaches and involves multi-stakeholder perspectives to address complex regulatory and innovation challenges. Dr. Hoekman actively contributes to policy-relevant research, including major European Commission studies on pharmaceutical legislation. His collaborative work extends across multiple institutions and involves interdisciplinary teams working on pharmaceutical policy, sustainable innovation, and science-society interactions. As a member of the Utrecht Young Academy and the UU Open Science Platform, he engages with broader academic community initiatives related to research integrity and open science practices.

Sarah Turnbullمشاهده پروفایل

دانشیار

• Border criminology
• Immigration detention and deportation
• Punishment and incarceration
• +۴ مورد دیگر

Sarah Turnbull is an Associate Professor at the University of Waterloo, affiliated with the Balsillie School for International Affairs. Her work intersects criminology, sociolegal studies, and critical border/migration studies, focusing on immigration detention, deportation, punishment, and social justice through postcolonial, antiracist, and feminist lenses. Education: PhD and MA in Criminology and Socio-Legal Studies from the University of Toronto; BA from Simon Fraser University. Her current research includes: (1) a SSHRC-funded study on the National Immigration Detention Framework in Canada using Foucauldian genealogical methods; (2) the Prison Transparency Project , a comparative analysis of carceral transparency in Canada, Spain, and Argentina; and (3) a transatlantic study on pandemic impacts in prisons. She employs ethnographic and qualitative methods in her research. Selected Grants: 2023–2030: Co-Investigator, Prison Transparency Project (SSHRC Partnership Grant). 2022–2025: Principal Investigator, Reforming Detention (SSHRC Insight Grant). 2022–2023: Co-Principal Investigator, COVID-19 Justice as Penal Justice (Strathclyde-Waterloo Transatlantic Award). Turnbull’s publications and collaborations emphasize systemic inequalities, carceral mobilities, and ethical research practices. She co-founded the Prison Transparency Project and has contributed to dialogues on art as resistance in detention settings.

• Product Development Methodology
• Lightweight Structures
• Systems Engineering
• +۵ مورد دیگر

Prof. Dr. Markus Zimmermann leads the Chair of Product Development and Lightweight Design at the Technical University of Munich (TUM). With a background in mechanical engineering from TU Berlin and the University of Michigan, and a doctorate from MIT on solid-state singularities, he bridges academic rigor with industrial application. His career spans 12 years at BMW focusing on vehicle development before transitioning to academia. Specializes in solution space engineering for robust design Expert in additive manufacturing and systems engineering Develops methodologies for managing design complexity and uncertainty His research focuses on multidisciplinary design optimization and lightweight structures , particularly in robotics and automotive systems . His team applies digital twin frameworks and attribute dependency graphs to enhance design processes. Recent publications emphasize topology optimization in robotic systems and thermal management for medical X-ray sources. Key trends in his 2024-2025 publications include: Topological optimization for additive manufacturing and robotics Application of solution spaces to manage design uncertainty Development of compact X-ray systems for medical therapy Integration of digital twin technologies in industrial contexts

Ron Drorمشاهده پروفایل

استاد

• Computational Biology
• Machine Learning
• Molecular Dynamics Simulation
• +۶ مورد دیگر

Ron Dror is the Cheriton Family Professor of Computer Science at the Stanford Artificial Intelligence Lab , with courtesy appointments in Structural Biology and Molecular & Cellular Physiology . He also holds affiliations with Bio-X, the Institute for Human-Centered Artificial Intelligence (HAI), the Institute for Computational and Mathematical Engineering (ICME), Sarafan ChEM-H, and the Wu Tsai Neurosciences Institute. Education: PhD in Electrical Engineering and Computer Science, MIT MPhil in Biological Sciences, University of Cambridge (Churchill Scholar) BS in Mathematics and Electrical & Computer Engineering, Rice University (summa cum laude) Ron leads a multidisciplinary research group that combines molecular simulation and machine learning to study biomolecular structure, dynamics, and function. His work focuses on developing computational methods to accelerate drug discovery by predicting molecular interactions and designing more effective therapeutics. Current projects include the PENSA software library for analyzing biomolecular ensembles and FRAME framework for structure-based ligand design. His research has produced groundbreaking work on G-protein-coupled receptors (GPCRs) , RNA structure prediction , and mitochondrial transport mechanisms . Key publications highlight applications of geometric deep learning and molecular dynamics simulations in structural biology. Scientific Awards: Cheriton Family Professorship (2023) Two Gordon Bell Prizes (2014, 2009) Best Paper Awards at NeurIPS (2021), IPDPS (2013), SC11 (2011), SC09 (2009), SC06 (2006) Science Magazine Top 10 Breakthrough (2010) Fulbright Scholarship , NSF Fellowship , DoD Fellowship , Whitaker Foundation Fellowship Ron has advised numerous doctoral and master’s students including EJ Fine , Masha Karelina , and Briana Sobecks . His lab collaborates with experimentalists across academia and industry, applying computational methods to diverse biomedical problems such as RNA structure prediction , GPCR signaling , and mitochondrial metabolism .

Gerold Schneiderمشاهده پروفایل

دانشیار

• Computational Linguistics
• Digital Humanities
• Corpus Linguistics
• +۳ مورد دیگر

Gerold Schneider is an Associate Professor at the University of Zurich , affiliated with the Department of Computational Linguistics under the Faculty of Arts and Social Sciences and Faculty of Business, Economics and Informatics . He leads the Text Crunching Center (TCC) , focusing on interdisciplinary research at the intersection of NLP, Digital Humanities, and Health Data Science. Research Interests His work spans Text Analytics , Digital Humanities , Corpus Linguistics , and Health Data Science , with applications in: Biomedical NLP (e.g., Alzheimer’s detection, clinical trials) Digital Humanities projects (e.g., analyzing Charles Dickens, UN archives) Migration discourse framing across languages Adversarial data collection for hate speech detection Interdisciplinary methodologies for digital unstructured data Recent Publications 2025–2024 research highlights include annotated corpora for preclinical and neurological studies, AI-driven analysis of historical linguistic variation, and innovative tools for language learners. His NLP applications address health diagnostics, ethical AI, and cross-lingual political discourse. Labs & Teams As TCC leader, he spearheads collaborative projects within the Digital Society Initiative (DSI) communities (AI & Law, Health, Ethics, etc.), integrating computational methods with humanities and health research.

• Biostatistics
• Statistical Methods in Biomedical Research
• Design and Analysis of Biomedical Studies
• +۲ مورد دیگر

Per Kragh Andersen is a Professor at the Department of Public Health, University of Copenhagen, within the Faculty of Health and Medical Sciences. He is affiliated with the Section of Biostatistics, which focuses on statistical theory, methods, and applications in biomedical research, providing advisory services and educational programs in statistics from undergraduate to PhD levels. Location: Øster Farimagsgade 5, Building CSS (2nd floor in CSS-5, CSS-10, CSS-15), Copenhagen K Contact: +45 35 32 79 08 | pka@biostat.ku.dk The Section of Biostatistics collaborates with other health sciences departments to advance scientific knowledge through rigorous statistical analysis and education. Its mission includes advising researchers on study design, conducting methodological research, and promoting quantitative methods in biomedical sciences.

Lucia Carichinoمشاهده پروفایل

استادیار

• Mathematical Biology
• Fluid Dynamics
• Numerical Methods
• +۵ مورد دیگر

Lucia Carichino is an Assistant Professor in the School of Mathematics and Statistics at Rochester Institute of Technology (RIT). She holds a PhD in Mathematics from Purdue University and a BS/MS in Mathematical Engineering from Politecnico di Milano, Italy. Her research focuses on mathematical and computational models of multiscale biological systems, particularly fluid-structure interaction in biological contexts like ocular blood flow and microswimmers. She emphasizes integrating experimental data with mathematical models to advance medical understanding. Carichino teaches courses such as Differential Equations, Linear Algebra, and oversees undergraduate research projects. In 2023, she received the National Science Foundation LEAPS-MPS award for her work on computational modeling of eye-contact lens interactions. Her research has been published in high-impact journals and presented at conferences. She actively collaborates on projects addressing glaucoma, ocular hemodynamics, and biomedical applications. Education: PhD in Mathematics, Purdue University BS and MS in Mathematical Engineering, Politecnico di Milano, Italy Research interests include fluid dynamics, numerical methods, and mathematical biology. Her work bridges theoretical models with biomedical applications, such as optimizing gene therapy delivery and analyzing ocular physiology under varying environmental conditions (e.g., altitude). She explores topics like sperm motility, computational simulations of biological systems, and the interplay between fluid dynamics and biological structures. Her recent articles highlight advancements in ocular pharmacokinetics, contact lens interactions, and altitude effects on intraocular pressure. These studies underscore her expertise in multiscale modeling and fluid-structure interaction. Carichino also contributes to educational initiatives, fostering a collaborative classroom environment. Notable awards include the NSF LEAPS-MPS award (2023). She advises student research projects and collaborates with colleagues, such as Maki, on interdisciplinary studies. Her work is supported by grants and has led to presentations at ophthalmology and mathematics conferences. Carichino’s lab focuses on computational modeling of biological systems, particularly in ophthalmology and microscale fluid dynamics. Her team develops tools to simulate complex physiological processes, aiding in medical diagnostics and treatment strategies.

Hyowon Gweonمشاهده پروفایل

دانشیار

• Computational Approaches
• Developmental Approaches
• Education
• +۶ مورد دیگر

Hyowon Gweon is an Associate Professor in the Department of Psychology at Stanford University. As the leader of the Social Learning Lab, her research focuses on how humans learn from others and help others learn, employing interdisciplinary methods including developmental, computational, and neuroimaging approaches. She holds a PhD in Cognitive Science from MIT (2012) and joined Stanford in 2014 after a postdoc at MIT. Her research interests span computational approaches to social learning, developmental psychology, neuroimaging, and education. She has received notable awards such as the APS Janet Spence Award (2020), James S. McDonnell Scholar Award (2018), and Marr Prize (2010). Her work explores topics like counterfactual reasoning, social cognition in infants, and embodied AI benchmarks. Labs/Teams: Social Learning Lab Key Themes: Prosocial behavior, theory of mind, cognitive development, and human-AI interaction. Her recent articles investigate infant gaze behavior, temporal reasoning in children, and strategic communication in preschoolers. Grants and advising details are not explicitly listed in the provided text.

Catherine O'Sullivanمشاهده پروفایل

استاد

• Particulate Soil Mechanics
• Discrete Element Modelling (DEM)
• Geotechnical Engineering
• +۷ مورد دیگر

Prof. Catherine O'Sullivan is a Professor of Particulate Soil Mechanics at Imperial College London's Department of Civil and Environmental Engineering, part of the Faculty of Engineering. She leads the Geotechnics Section and serves as Editor-in-Chief of the ASCE Journal of Geotechnical and Geoenvironmental Engineering. Her research focuses on particulate soil mechanics, employing Discrete Element Modelling (DEM) and micro-CT imaging to study sand behavior, reservoir sandstones, and internal erosion. Notable recognitions include the 2016 Shamsher Prakash Research Award and the 2021 President’s Teaching Innovation Award. Education : PhD in Civil Engineering, University of California, Berkeley (2002) MEngSc in Civil Engineering, University College Cork (Ireland) BEng (Civil Engineering), University College Cork (Ireland) Research Interests : Prof. O'Sullivan's work integrates computational and experimental methods to explore granular material behavior. Key areas include DEM validation, μCT analysis, and pore network modeling. Her group collaborates across disciplines, involving physicists and mechanical engineers alongside civil engineers. Awards & Recognition : 2015 Geotechnique Lecture Student Choice Supervision Award (nominated twice) 2023 Alert Geomechanics Special Lecture Advising & Grants : She supports PhD and postdoctoral researchers through Imperial scholarships and fellowships. Her students often explore particulate soil behavior, with many securing prestigious awards. Labs & Teams : Leads the Geotechnics Section at Imperial, fostering interdisciplinary research in geomechanics and computational modeling.

• Disability research
• Inclusive research
• Citizenship studies
• +۴ مورد دیگر

Anna Chalachanova is an Associate Professor in the Department of Health at VID University College, Norway. Her academic work centers on disability research, inclusive methodologies, and citizenship studies, with a primary focus on people with intellectual disabilities across Norway, Slovakia, and Great Britain. Her research spans inclusive research practices, citizenship frameworks for people with intellectual disabilities, higher education accessibility, sexual citizenship, religious inclusion, and protective care. She investigates how intellectual disabilities intersect with everyday citizenship experiences, voting rights, educational participation, and personal assistance services through participatory and co-creative methodologies that prioritize disabled voices. Analysis of her 15 most recent publications (2019-2025) reveals consistent thematic focus on citizenship and inclusion, with methodological emphasis on participatory research. Key trends include comparative studies between Norway and Slovakia, sexual citizenship barriers within personal assistance systems, and higher education experiences for intellectually disabled students. Her work demonstrates strong commitment to amplifying marginalized perspectives through narrative and co-created research approaches. Chalachanova actively contributes to multiple research initiatives including the ongoing PATHWAYS project (Faculty of Social Sciences) examining vulnerable institutional pathways for youth, and "To allow in" focused on barrier reduction for people with intellectual disabilities. Completed projects include "Higher education for people with intellectual disabilities" and "My vote counts too!" which evaluated voting participation mechanisms. These projects involve collaborations across Norwegian institutions, Slovakia, and Great Britain. Based in VID University College's Department of Health, she operates within interdisciplinary teams addressing disability inclusion through international partnerships. Her work connects Norwegian higher education contexts with Slovakian comparative frameworks, driving initiatives that transform citizenship practices and educational access for people with intellectual disabilities through evidence-based interventions.

• Financial Technology (FinTech)
• Digital Innovation
• Payment Systems
• +۵ مورد دیگر

Professor Markos Zachariadis is the Chair in Financial Technology (FinTech) and Full Professor of Information Systems at Alliance Manchester Business School (AMBS), University of Manchester. He also directs the Centre for Financial Technology Studies (CFTS) and holds roles such as FinTech Research Fellow at the Cambridge Centre for Digital Innovation and member of the World Economic Forum’s Global Future Council on Financial Systems. His research focuses on the intersection of digital innovation, financial technology, and network economics, with notable studies on payment systems (e.g., SWIFT), Open Banking, and blockchain. He has authored/co-authored influential works like The Society for Worldwide Interbank Financial Telecommunication (SWIFT) (2014) and co-edited The PAYTECH Book (2020). Education: PhD in Management (Economics of Payment Systems) from the London School of Economics (2011), MSc in ADMIS (2004), and BSc in Economics from the University of Patras (2003). Prior academic roles include Associate Professor at Warwick Business School and Visiting Professorships at Ivey Business School and Cambridge Judge Business School. Industry experience includes roles at UBS Investment Bank and Hewlett Packard. Research Interests: Economic impacts of ICT adoption in banking, diffusion of payment networks, data standards, Open Banking, blockchain, and regulatory frameworks. Awards include the NET Institute Award and SWIFT Institute Awards for research on payment systems and digital transformation. He advises global organizations like the Hellenic Competition Commission and frequently engages with media outlets such as BBC, CNN, and The Financial Times. Key Projects: Organized an international PayTech conference funded by Gates Foundation and MasterCard. Co-led the Centre for Digital Trust and Society (2021–present) and the Fintech and Financial Crimes project (2021–2022). His work contributes to UN SDGs related to innovation and financial inclusion. Labs/Teams: Founded the Centre for Financial Technology Studies (CFTS) at AMBS, part of interdisciplinary initiatives like the Centre for Digital Trust and Society.

Norbert Lutkenhausمشاهده پروفایل

استاد

• Quantum Communication
• Quantum Key Distribution (QKD)
• Quantum Information Processing
• +۴ مورد دیگر

Prof. Norbert Lütkenhaus is a Professor and Executive Director of the Institute for Quantum Computing (IQC) at the University of Waterloo, cross-appointed to the Department of Applied Mathematics. He holds affiliations with Perimeter Institute and the Centre for Applied Cryptographic Research. His research focuses on quantum communication theory, particularly quantum key distribution (QKD) and quantum repeaters. He has pioneered methods to bridge abstract quantum protocols with practical optical implementations, emphasizing secure key rate calculations and overcoming quantum channel limitations. Education: PhD (2003) in Physics from University Erlangen-Nürnberg, MSc (1993) and BSc (1990) from Ludwig-Maximilians-Universität München and RWTH Aachen, respectively. Awards include the 2015 American Physical Society Outstanding Referee Award and a 2009 University of Waterloo Excellence Award. Research interests span QKD protocols (e.g., decoy-state BB84, phase-error mitigation), quantum repeater architectures, and entanglement verification. He develops numerical tools for key rate analysis and addresses implementation security loopholes. His work includes theoretical frameworks for long-distance quantum communication and practical QKD system optimizations. Teaching includes courses on quantum information processing (PHYS 768/QIC 890) and mechanics (PHYS 115). He contributes to international standards via ETSI’s QKD-ISG and the QCrypt steering committee. His patents cover QKD system designs and phase-randomization techniques.

Yongmin Liuمشاهده پروفایل

استاد

• Nano Optics
• Nanomaterials Engineering
• Plasmonics
• +۵ مورد دیگر

Yongmin Liu is a Professor in Mechanical and Industrial Engineering and Electrical & Computer Engineering at Northeastern University, and a member of the Cross-College Magnetics Center. He holds a PhD in Applied Science and Technology from UC Berkeley (2009), with earlier degrees from Nanjing University. His research focuses on nano-optics, metamaterials, plasmonics, and their applications in optical devices and systems. His interdisciplinary work bridges engineering, physics, and AI, with notable contributions to metasurface design and optical neural networks. Education: PhD, Applied Science and Technology, UC Berkeley (2009) M.S. and B.S., Physics, Nanjing University (2003, 2000) Research Interests: Nano-optics, nanoscale materials engineering, metamaterials, plasmonics, and applied physics. His group develops novel optical materials and devices for applications like super-resolution imaging, efficient light harvesting, and biomedical detection. Recent projects include AI-driven photonic materials design and meta-optical neural networks. Key Achievements: Recipient of the Søren Buus Outstanding Research Award (2024) NSF CAREER Award (2017) and ONR Young Investigator Award (2016) Elected SPIE Fellow (2023) and Optica Fellow (2023) Lab & Collaborations: Head of the Yongmin Liu Research Group, collaborating with institutions like Georgia Tech and Purdue University. Recent grants include a $1.5M NSF DMREF grant for AI-driven photonic materials and a $468K NSF grant for meta-optical neural networks.

Karin Melnickمشاهده پروفایل

استاد

• Differential Geometry
• Rigidity Theory
• Lorentzian Geometry
• +۴ مورد دیگر

Karin Melnick is a Full Professor in Mathematics at the University of Luxembourg, Faculty of Science, Technology and Medicine, Department of Mathematics. She heads the research group Group Actions, Geometric Structures, and Smooth Dynamics . Previously, she held positions at the University of Maryland (2009–2023), where she advanced from Assistant Professor to Professor and Associate Chair for Faculty Affairs, and at Yale University (2006–2009). Education: PhD and Master's degrees from the University of Chicago Research Interests: Her work spans differential-geometric rigidity, Lorentzian geometry, conformal pseudo-Riemannian structures, parabolic Cartan geometries, and smooth dynamical systems. She investigates symmetries of geometric structures, classification of manifolds with prescribed curvature properties, and dynamics of group actions on differentiable manifolds. Publications: Melnick's 15 most recent articles (2011–2025) predominantly explore rigidity phenomena in geometric structures, conformal/Lorentzian geometry, and dynamical systems. Key themes include automorphism groups of parabolic geometries, embedding theorems for tractor bundles, non-existence results for quasihomogeneous metrics, and applications of Frobenius-type theorems to Cartan geometries. Academic Leadership: She organizes major conferences including the upcoming BeNeLux Mathematical Congress (2026) and Lorentzian, Affine, and Hyperbolic Geometry: In Memory of Todd Drumm (2025). She frequently delivers invited talks at institutions like IHES Paris, Isaac Newton Institute, and Universität Hamburg. Teaching: Currently instructs Géométrie des courbes et des surfaces (Summer 2025).

Wolfgang Wüsterمشاهده پروفایل

استاد

• Evolutionary Biology
• Snake Systematics
• Venom Toxicology
• +۵ مورد دیگر

Professor Wolfgang Wüster is a Professor in Zoology (Molecular Ecology) at Bangor University's School of Environmental and Natural Sciences. His research focuses on evolutionary biology, snake systematics, and venom toxicology, using snakes as model systems. He teaches courses in zoology and herpetology, including Arizona fieldwork and advanced herpetology modules. Education: PhD in Systematics of Asian cobras from the University of Aberdeen (1990). His research interests include the evolution of venom composition, species delimitation in snake complexes, warning signals, biogeography, and conservation genomics. He supervises postgraduate students in topics like European viper conservation and snake systematics. Recent publications highlight his work on snake venoms, taxonomy, and the impacts of climate change on reptile species. He collaborates globally, contributing to antivenom efficacy studies and venom evolution research. Professor Wüster has been involved in projects such as genomic studies of adders and the phylogeography of vipers. His work bridges molecular ecology with conservation, emphasizing practical applications in biodiversity preservation.