جست‌وجوی استاد و پژوهشگر

Anna Maria Oberländerمشاهده پروفایل

استادیار

• Digital Transformation
• Digital Innovation
• Information Systems
• +۷ مورد دیگر

Anna Maria Oberländer is Assistant Professor for Information Systems and Digital Transformation at the University of Bayreuth's Faculty of Law and Economics. She also serves as Deputy Academic Director of the Research Center Finance & Information Management and holds a leading position at Fraunhofer FIT's Branch Business & Information Systems Engineering, where she co-heads a research group and manages the Digital Innovation Lab as one of its co-founders. Dr. Oberländer earned her Master of Science with honors from the Elite Graduate Program Finance & Information Management at the University of Technology Munich and the University of Augsburg in 2015, including a research visit at Queensland University of Technology. She was accepted into the 16th class of the Bavarian EliteAcademy, receiving leadership training across Germany, Belgium, China, and Vietnam. Prior to academia, she worked as a strategy consultant at McKinsey & Company from 2015 to 2018, supporting clients in Advanced Industries and Financial Services with digital transformations. She completed her dissertation at the University of Bayreuth's Law and Economics Faculty in 2020. Her research focuses on understanding and designing digital transformation and innovation from established companies' perspectives. She examines digital transformation processes and patterns, the relationship between organizational digital transformation and digital ecosystems, organizational ambidexterity, resource-based digital opportunities for incumbents, and the socio-technical and economic impacts of IoT and AI technologies. Her work spans theoretical frameworks like the OCO (Orientation, Cooperation, Orchestration) Theory for understanding digital ecosystems' influence on transformation. Dr. Oberländer's recent publications reveal a strong trend toward integrated digital-sustainability research (twin transformation), AI strategy and implementation, digital ecosystem dynamics, and industry-specific digital innovation. Her work bridges theoretical frameworks with practical applications across diverse sectors including public administration, manufacturing, and smart cities. She has developed capability maturity models for twin transformation and explored semantic search adoption in SMEs. Science Award 2020 from Universitätsverein Bayreuth e.V. With extensive industry experience at Siemens, Siemens Financial Services, Allianz, and McKinsey & Company, Dr. Oberländer brings practical insights to her academic work. Her Fraunhofer FIT role connects her research to real-world applications through the Digital Innovation Lab. She has led collaborative research projects across multiple industries, including the print industry's sustainability potential with AI, dairy industry digital innovation, and public administration digitalization. Dr. Oberländer co-heads a research group at Fraunhofer FIT and manages the Digital Innovation Lab, which serves as a hub for collaborative research between academia and industry. Her work with the Research Center Finance & Information Management facilitates interdisciplinary collaboration across finance and information systems domains.

Mary Lou Zeemanمشاهده پروفایل

استاد

• Geometric Dynamical Systems
• Mathematical Biology
• Population Dynamics
• +۳ مورد دیگر

Mary Lou Zeeman is the R. Wells Johnson Professor of Mathematics at Bowdoin College, specializing in geometric dynamical systems, mathematical biology, and climate modeling. Her work bridges theoretical mathematics with real-world applications in ecology, sustainability, and neuroendocrinology. Education: PhD in Mathematics from the University of California, Berkeley; MA and BA in Mathematics from the University of Oxford. Research focuses on population dynamics, resilience in ecosystems, and interdisciplinary approaches to sustainability. She co-leads initiatives like the Mathematics and Climate Research Network (MCRN) and contributed to the Mathematics of Planet Earth (MPE) 2013 initiative. Her teaching includes Biomathematics (MATH 1758/BIOL 1175) and Multivariate Calculus (MATH 1800). Key contributions include modeling hormone oscillations in the menstrual cycle, climate change impacts, and fisheries management policies. Her work emphasizes decision-support frameworks for environmental challenges. Grants and collaborations span NSF-funded projects on computational sustainability and climate change research, reflecting her commitment to applied interdisciplinary science.

Randall D. Beerمشاهده پروفایل

استاد

• Artificial Life
• Neuroscience
• Computational Biology
• +۵ مورد دیگر

Randall D. Beer is a Provost Professor at Indiana University with affiliations across multiple departments and centers, including the Cognitive Science Program , Program in Neuroscience , School of Informatics, Computing, and Engineering , and the Center for Complex Networks and Systems Research . His research focuses on understanding how organisms function as integrated wholes, emphasizing the interplay between brains, bodies, and environments. He develops computational models of neuromechanical systems, biologically-inspired robotics, and dynamical systems approaches to cognition. Education: While formal educational details are not explicitly listed, Beer's academic trajectory is reflected in his extensive publications and roles in interdisciplinary research programs. Research Interests: Beer investigates: - Embodied cognition and enaction frameworks - Neurodynamics and central pattern generators - Evolution of behavior in artificial agents - Metabolic and developmental systems biology - Dynamical systems theory - Computational modeling of C. elegans locomotion Software Contributions: Beer has developed tools like Dynamica (for dynamical systems analysis), CTRNN (neural network simulation), and Evolutionary Agents (robotics control frameworks). These tools are widely used in computational neuroscience and robotics research. Advising and Teams: He supervises a large group of graduate students and postdocs, contributing to projects such as neuromechanical modeling and evolutionary robotics. His work is supported through grants focusing on embodied cognition and systems biology. Labs and Collaborations: Active in the Center for Complex Networks and Systems Research and collaborates with interdisciplinary teams exploring topics like autopoiesis, viability theory, and robotic embodiment.

Kathryn Lanouetteمشاهده پروفایل

استادیار

• Learning Sciences
• Science Education
• Data Science Education
• +۶ مورد دیگر

Kathryn Lanouette is an Assistant Professor of Learning Sciences and Science Education at William & Mary’s School of Education. She holds faculty affiliate appointments in the Arts & Sciences (ENSP, IIC). Her research explores place-based pedagogies, emerging technologies, and their roles in fostering joyful, ethical science and data science learning for K-8 students. She collaborates with schools, museums, and youth-serving organizations to design curricula and outdoor learning experiences. Education: Ph.D. in Learning Sciences and Human Development, University of California, Berkeley (2017) M.A. in Museum and Childhood Education, Bank Street Graduate School of Education B.A. in Politics, Oberlin College Research Interests: Lanouette focuses on intersections between emotion, place, and data literacy, emphasizing participatory approaches to environmental and socio-ecological education. Her work bridges theory and practice, advocating for equitable, interdisciplinary STEM+ curricula that connect students to local ecosystems and global challenges. Recent Trends in Publications: Her articles emphasize participatory methodologies (e.g., digital mapping, data storytelling), socio-political dimensions of learning, and ethical frameworks for data science education. Recent work highlights collaborations between educators and community organizations to co-create knowledge about climate change and socio-ecological systems. Awards: Outstanding Short Paper Award (2025), International Society of the Learning Sciences NSF-funded ‘Writing Data Stories’ postdoctoral research (2017–2020) Teaching & Mentorship: Lanouette teaches courses on education research, science pedagogy, and applied conservation sciences. She mentors students through interdisciplinary projects, such as the NSF-funded ‘Writing Data Stories’ initiative and NOAA’s Teacher at Sea program. Labs/Teams: Collaborations include partnerships with UC Berkeley’s Science Education Lab, museums, and K-12 schools to develop place-responsive curricula and community-driven data projects.

• Photocatalysis
• Coordination Chemistry
• Renewable Energy
• +۳ مورد دیگر

Dr. Sonja Pullen is a Visiting Professor at the University of Amsterdam's Faculty of Science, affiliated with the Van 't Hoff Institute for Molecular Sciences. Her research focuses on photocatalysis, coordination chemistry, and supramolecular systems, with particular emphasis on developing sustainable energy conversion technologies. Key areas include molecular catalyst design, confined-space catalysis, and light-driven chemical transformations. Her work integrates advanced spectroscopic techniques (e.g., ultrafast spectroscopy) to study catalytic mechanisms, particularly in systems like diiron complexes and metal-organic frameworks (MOFs). Recent projects explore oxygen-tolerant catalysts, substrate-binding effects in photocatalytic dehalogenation, and the role of hydrogen bonding in catalytic activity. She also investigates functional materials such as coordination cages for artificial photosynthesis. Dr. Pullen’s publications highlight breakthroughs in catalyst stability, reaction selectivity, and energy-efficient processes. Her interdisciplinary approach bridges organic/inorganic chemistry, materials science, and renewable energy applications. Current trends in her work emphasize environmental sustainability and scalable photocatalytic systems for hydrogen production and CO2 conversion. Her lab at the Van 't Hoff Institute collaborates widely on topics like molecular encapsulation, MOF functionalization, and bioinspired catalysts. Ongoing projects aim to enhance photocatalytic efficiency through structural design and confinement strategies.

Richard A. Davisمشاهده پروفایل

استاد

• Applied Probability
• Time Series Analysis
• Stochastic Processes
• +۵ مورد دیگر

Richard A. Davis is the Howard Levene Professor of Statistics at Columbia University's Faculty of Arts and Sciences. He is affiliated with the Data Science Institute (DSI) and the Financial and Business Analytics Center. His research focuses on applied probability, time series analysis, stochastic processes, and extreme value theory, with applications to financial data and spatial modeling. He co-founded the Space-Time Aquatic Resources Modeling and Analysis Program (STARMAP), supported by an EPA-STAR grant. Education details are not explicitly provided in the text, but his academic roles indicate advanced qualification in statistics. His work combines theoretical advancements with practical applications, such as analyzing financial time series models (e.g., GARCH) and spatial environmental data. Recent research emphasizes high-dimensional extremes, sparsity, and privacy-preserving methods. His articles explore cutting-edge topics like kernel PCA for multivariate extremes, quantile treatment effects, and goodness-of-fit testing for time series. He has also contributed to applications in healthcare imaging and disaster economics. His collaborative projects aim to bridge statistical theory with environmental and societal challenges. Key contributions include the STARMAP initiative and grants focused on extreme value analysis. His work often integrates advanced statistical techniques with real-world data challenges, reflecting a commitment to both methodological innovation and interdisciplinary impact.

• Climate change adaptation
• Climate change mitigation
• Nature-based Solutions
• +۵ مورد دیگر

Dr. Prabhasri Herath is a Postdoctoral Research Fellow at the Australian National University (ANU) and the Commonwealth Scientific and Industrial Research Organisation (CSIRO), affiliated with the Institute for Climate, Energy, and Disaster Solutions (ICEDS). Her research focuses on Nature-based Solutions (NbS), urban heat mitigation, and flood resilience, with expertise in green infrastructure and sustainable city planning. She holds a PhD from the Fenner School of Environment and Society (ANU) and a B.Sc. (Hons) in Green Technology. Her work bridges climate adaptation, urban ecology, and disaster resilience, contributing to global projects on NbS for flood mitigation in large Australian catchments. Education: PhD in Interdisciplinary Environmental Sciences, Fenner School of Environment and Society, ANU B.Sc. (Hons) in Green Technology Research Interests: Climate change adaptation and mitigation strategies Urban heat islands and extreme heatwave mitigation Nature-based flood mitigation in catchments Green infrastructure design for sustainable cities Her recent publications emphasize the role of urban green spaces in mitigating extreme heat and the feasibility of NbS for flood management. She collaborates with experts like Associate Professor Roslyn Prinsley and Dr. Jai Vaze on ANU-CSIRO projects. While no formal awards are listed, her work has been widely cited in environmental science and urban planning domains. Collaborations: Visiting Scientist at CSIRO since July 2023 Partnerships with ANU’s Fenner School and ICEDS Her research lab is embedded within ICEDS, focusing on interdisciplinary climate solutions.

• Machine Learning
• Artificial Intelligence
• Bioinformatics
• +۹ مورد دیگر

Florence d'Alché-Buc is a Professor at Télécom Paris (Institut Polytechnique de Paris), holding an Isaac Newton Institute Simons Chair (2025) and leading the Data Science and Artificial Intelligence for Digitalized Industry & Services (DSAI) Chair. She heads the Image, Data, and Signal Department and is part of the Signal, Statistics, and Learning (S2A) team at the LTCI laboratory. Her research focuses on machine learning, bioinformatics, and industrial applications, emphasizing kernel methods, structured prediction, and reliable AI. Education: Previously a professor at Université d’Evry and deputy director of the IBISC lab. Co-director of the Paris-Saclay Data Science Master and creator of specialized AI programs (e.g., Certificate of Specialized Studies in AI). Research highlights include contributions to operator-valued kernel methods, graph prediction, and frugal AI. She actively collaborates with institutions like Inria, École Polytechnique, and industry partners (Airbus, Engie, etc.). Notable roles: Scientific director of Digicosme Labex, Ellis Fellow, and board member of IVADO (Montreal). Her recent work addresses AI explainability, robustness, and sustainability, including projects on interpretable networks and energy-efficient models.

Jeremy Knoxمشاهده پروفایل

دانشیار

• Digital Education
• AI in Education
• Data-Driven Technologies
• +۳ مورد دیگر

Dr. Jeremy Knox is an Associate Professor of Digital Education at the University of Oxford's Department of Education (since 2023). Previously, he served as Senior Lecturer at the University of Edinburgh and co-directed its Centre for Research in Digital Education. His research critically examines interactions between education, data-driven technologies, and societal structures, with ESRC- and British Council-funded projects exploring AI ethics, digital inequality, and global educational policies. He co-convenes the Society for Research in Higher Education's Digital University network and teaches on the MSc in Education's Digital and Social Change pathway. Education: PhD and MSc from University of Edinburgh; PGCE from University of Reading (awarded ESRC scholarship for PhD). Key Works: Authored influential books including AI and Education in China (2023), Data Justice and the Right to the City (2022), and Artificial Intelligence and Inclusive Education (2019). Awards: ESRC PhD Scholarship (2014). Research interests focus on postdigital theory, AI ethics, data justice, and global educational technology dynamics. His work critiques algorithmic governance in education and advocates for participatory data practices. Recent projects analyze China's AI education policies and the socio-technical implications of datafied learning environments. Publications span topics like MOOCs, learning analytics, and the political economy of EdTech, emphasizing critical perspectives on technological determinism. His writing bridges philosophy, sociology, and education policy to address systemic inequities exacerbated by digital tools.

Alexander J. Harteminkمشاهده پروفایل

استاد

• Computational Biology
• Machine Learning
• Genomics
• +۵ مورد دیگر

Professor Alexander J. Hartemink holds dual appointments in the Department of Computer Science and Department of Biology at Duke University, Trinity College of Arts & Sciences. He is also a Bass Fellow in Computer Science. His research focuses on computational biology, machine learning, and systems biology, with applications to genomics, epigenomics, and transcriptional regulation. Hartemink leads the Duke Office of University Scholars and Fellows and has directed the Computational Biology and Bioinformatics graduate program. He earned a PhD from MIT (2001), MPhil from the University of Oxford (1996), and BS from Duke (1994). Research Interests His work integrates computational methods to study chromatin dynamics, transcriptional networks, and epigenetic mechanisms. Key areas include modeling chromatin accessibility, predicting transcription factor binding, and understanding cell-cycle regulation. Techniques employed include Bayesian networks, dynamic systems modeling, and machine learning algorithms. Publications & Trends Recent work emphasizes single-cell multi-omics integration, chromatin occupancy modeling (RoboCOP framework), and transcriptional regulation in response to genetic perturbations. Themes include epigenetic plasticity, disease-associated enhancers, and systems-level analysis of gene expression. Awards & Grants Hartemink has received the Sloan Research Fellowship (2005) and NSF CAREER Award (2004). Active grants include NIH funding for chromatin-transcription interplay studies and NSF support for regulatory genome research. He collaborates on projects like the Data+ initiative, promoting interdisciplinary data science. Affiliations & Labs Associated with Duke’s Center for Genomic and Computational Biology and Center for Advanced Genomic Technologies. His lab develops computational tools for genomic analysis, including software for chromatin modeling and epigenetic data integration.

Oscar Diasمشاهده پروفایل

استاد

• Theoretical Physics
• General Relativity
• Black Holes
• +۴ مورد دیگر

Professor Oscar Dias is a faculty member in the Department of Mathematical Sciences at the University of Southampton. His research focuses on Einstein's gravity, black holes, holographic dualities, and gravitational aspects of string theory. He actively supervises PhD students in mathematical sciences and holds grants from the Science and Technology Facilities Council (STFC), including projects like 'New Frontiers in Particle Physics, Cosmology and Gravity.' His work explores topics such as cosmic censorship, black hole dynamics, and numerical general relativity, with recent contributions published in journals like Physical Review Letters and Journal of High Energy Physics . Key research interests include the study of black hole binaries in de Sitter space, the stability of charged black holes, and the interplay between holographic dualities and quantum field theories. His projects often involve collaborations with leading institutions, addressing foundational questions in theoretical physics and cosmology. Professor Dias is a member of the Southampton Theory Astrophysics and Gravity (STAG) Research Centre and the String Theory and Holography group. His articles highlight advancements in understanding gravitational wave phenomena, quasinormal modes, and the behavior of black holes under various physical conditions. He currently accepts PhD applications and can be contacted via O.J.Campos-Dias@soton.ac.uk.

Catherine Richardsonمشاهده پروفایل

استاد

• Early Modern Studies
• Material Culture
• Textual Production
• +۶ مورد دیگر

Professor Catherine Richardson serves as Professor of Early Modern Studies and Director of the Institute of Cultural and Creative Industries at the University of Kent. She joined the university in 2007 from The Shakespeare Institute and has held significant leadership positions including Associate Dean for Research and Innovation (Humanities) (2017-20), Deputy Head of School of English (2014-7), and Director of Research for the School of English (2012-7). Her research centers on the relationship between texts and material circumstances of production and consumption in early modern England, with particular focus on how material culture shaped social and cultural practices. Richardson examines the birth of creative industries in drama and performance cultures, skilled craft practices influenced by international migration patterns, and the evolution of cultural practices from the sixteenth century to present. She currently leads the AHRC-funded project 'The Cultural Lives of the Middling Sort, writing and material culture 1560-1660' in collaboration with The Shakespeare Birthplace Trust and Weald and Downland Living Museum. Richardson's extensive publication record reveals consistent scholarly engagement with material culture studies, with recent works increasingly incorporating digital humanities approaches. Her scholarship spans monographs, edited collections, and numerous journal articles examining domestic life, object biographies, and the intersection of physical artifacts with cultural narratives in early modern England. Her notable recognitions include: Fellow of the Royal Historical Society (2018) AHRC Peer Review and Strategic Review College Member (2017-22) The Malone Society council member (2002-) and Orders Secretary (2002-22) Pasold Research Fund Governor (Expert Member since 2019, 2021-present) As a dedicated supervisor, Richardson welcomes graduate students working on interdisciplinary projects related to early modern dramatic, social and cultural history. Her current AHRC project represents significant grant activity, developing digital resources that explore inclusion/exclusion dynamics in early modern English writing practices. She also serves as General Editor for the Oxford Complete Works of Christopher Marlowe and Series Editor for Arden Studies in Early Modern Material Culture. Through her directorship of the Institute of Cultural and Creative Industries, Richardson fosters research that bridges historical material culture studies with contemporary creative industry practices, creating innovative pathways for engaging with historical materials through modern technological approaches.

May Yuanمشاهده پروفایل

استاد

• Geospatial Information Science
• Space-Time Representation
• GIS Analytics
• +۵ مورد دیگر

May Yuan is the Ashbel Smith Professor of Geospatial Information Sciences at the University of Texas at Dallas (UT-Dallas), affiliated with the School of Economic, Political and Policy Sciences. She directs the Geospatial Analytics and Innovative Applications (GAIA) Lab. Her research focuses on space-time representation, GIS analytics, and environmental/social problem-solving (e.g., disaster risk, pollution, crime mapping). She holds a Ph.D. in Geography from SUNY Buffalo (1994) and B.S. from National Taiwan University (1987). Previously, she was Brandt Professor and Director of the Center for Spatial Analysis at the University of Oklahoma (1994–2014). Education: Ph.D. in Geography, State University of New York at Buffalo, 1994 M.A. in Geography, State University of New York at Buffalo, 1992 B.S. in Geography, National Taiwan University, 1987 Research Interests: Her work integrates space-time GIS databases with cognitive science, environmental modeling, and social dynamics. Key areas include: - Spatiotemporal query and analytics for geographic processes - GIS-based disaster risk assessment (wildfires, tornadoes) - Urban air quality modeling - Neurogeography and Alzheimer’s disease prediction using environmental complexity metrics - Deep mapping and spatial narratives. Grants & Partnerships: Supported by NSF, NASA, DoD, DHS, NOAA, EPA, and state agencies. Her GAIA Lab explores 'place' concepts in space-time analytics. Awards & Roles: Fellow, AAAS and AAG Editor-in-Chief, International Journal of Geographical Information Science (2017–present) Former President, Cartography and Geographic Information Society (2020–2021) and UCGIS (2011–2012) Member, NOAA Environmental Information Services Working Group (2016–2022) Labs/Teams: Leads the GAIA Lab, collaborating on geospatial AI, environmental health, and urban analytics.

• Space Geodesy
• Satellite Laser Ranging
• Lunar Laser Ranging
• +۷ مورد دیگر

Karl Ulrich Schreiber is an Adjunct Professor at the Department of Physics and Astronomy, University of Canterbury, New Zealand, and an apl. Professor at the Institute for Astronomical and Physical Geodesy at the Technical University of Munich (TUM). He is a scientist at the Geodetic Observatory Wettzell, jointly operated by TUM and the Bundesamt für Kartographie und Geodäsie (BKG). His work bridges fundamental physics and geodetic applications, with leadership roles in major international projects including ESA’s MAGIC/Science, QSG4EMT, and Baltic+ Theme 5, as well as DFG Research Units NEROGRAV and UPLIFT. His research focuses on Space Geodesy , Satellite and Lunar Laser Ranging , and Ring Laser Technology . He has pioneered the use of large ring laser gyroscopes for measuring Earth's rotation, polar motion, and seismic rotations. His work enables high-precision monitoring of geophysical phenomena such as Earth tides, Chandler wobble, and rotational ground motions from earthquakes. He is a key contributor to multi-technique co-location studies (VLBI, SLR, GNSS) and time transfer experiments, advancing the Global Geodetic Observing System (GGOS). His recent publications show a strong trend in developing and applying large-scale ring laser arrays (e.g., ROMY) for geophysical sensing, photon-counting laser ranging for space debris and satellite tracking, and optical timing systems for synchronization across geodetic networks. These efforts span disciplines including geodesy, seismology, quantum optics, and fundamental physics. Scientific contributions include: Development of the Wettzell Large Ring Laser (G-ring) for continuous Earth rotation monitoring. First direct measurements of Earth's diurnal polar motion and Chandler wobble using ring lasers. Pioneering work in rotational seismology, validating ring laser data against seismic arrays. Contributions to lunar laser ranging and its role in reference frame realization. Leadership in ESA and DFG projects advancing space geodesy and inertial sensing. He advises doctoral and master’s students within the DFG Research Training Group UPLIFT and collaborates with international institutions on instrumentation and data analysis. His lab at Wettzell hosts advanced laser ranging and ring laser systems, serving as a fundamental geodetic observatory. Future work includes enhancing clock ties for global geodesy, expanding multi-component rotation sensing, and advancing space-based geodetic technologies.

• Tropical Geometry
• Cluster Algebras
• Combinatorics
• +۵ مورد دیگر

David E Speyer is a Professor in the Department of Mathematics at the University of Michigan . His research focuses on algebraic problems with combinatorial flavors , particularly in tropical geometry , cluster algebras , and geometry of Lie groups . He has supervised multiple PhD students, including Shelby Cox, Will Dana, and John Wiltshire-Gordon, and collaborated on projects with undergraduates like Grant Barkley and Benjamin Branman. Education: PhD in Mathematics from UC Berkeley under Bernd Sturmfels; undergraduate at Harvard. Research: Key areas include tropical geometry , cluster algebras , and flag manifolds . His work often bridges combinatorics, algebraic geometry, and representation theory. Publications: Over 40 papers, including breakthroughs in cluster algebras , affine weak order , and braid variety cluster structures . Awards: Clay Research Fellow (2005-2010). Teaching: Coordinates courses like Math 593 (graduate algebra) and Math 214 , with a focus on inquiry-based learning .