جست‌وجوی استاد و پژوهشگر

• Tourism Studies
• Event Management
• Indigenous Tourism
• +۴ مورد دیگر

Robert Pettersson serves as an Associate Professor and Researcher at Mid Sweden University, affiliated with the Department of Economics, Geography, Law and Tourism (EJT) and the European Tourism Research Institute (ETOUR) in Östersund. His academic career spans over two decades with significant contributions to tourism studies, particularly in indigenous tourism, event management, and outdoor recreation. Pettersson's work bridges theoretical research with practical policy applications, focusing on sustainable development in northern contexts. His research centers on indigenous cultural tourism , where he has pioneered studies on Sami festivals and heritage in northern Sweden; event management , with expertise in hallmark events, social impact assessment, and evaluation frameworks; and outdoor recreation , examining environmental sustainability and social integration through sports and nature-based activities. Pettersson employs innovative spatial analysis techniques including GPS tracking to study tourist mobility and behavior, contributing methodological advancements to the field. His work consistently addresses the tension between cultural preservation and tourism development. Analysis of Pettersson's publication trajectory reveals an evolution from foundational research on Sami tourism (early 2000s) to contemporary studies on event portfolios, non-use value, and immigrant integration through outdoor activities. Recent work emphasizes holistic evaluation tools addressing social, environmental, and economic dimensions of events. This progression demonstrates his responsiveness to emerging challenges in sustainable tourism while maintaining focus on marginalized communities and northern regional development. No specific scientific awards are documented in the provided information. However, Pettersson's leadership in major research projects and extensive publication record in high-impact journals like Journal of Policy Research in Tourism, Leisure and Events and Scandinavian Journal of Hospitality and Tourism underscores his scholarly impact. His co-authored review on event evaluation (2015) remains a seminal reference in the field. Pettersson actively contributes to applied research through projects including Mistra Sport and Outdoors and Östersund CCI (Place development through cultural and creative industries). He has produced practical guides on event evaluation covering social effects (2024), environmental impacts (2023), and tourism economics (2023), translating academic insights into tools for event organizers and policymakers. His collaborative work with organizations like the Nordic Symposium in Hospitality and Tourism demonstrates commitment to knowledge exchange. As a core member of ETOUR, Pettersson participates in a multidisciplinary research environment focused on tourism's role in northern societies. The institute facilitates collaboration between tourism, geography, economics, and law scholars to address complex regional challenges including sustainable resource management and community well-being. Pettersson's ongoing projects continue to explore how events and outdoor activities can drive inclusive regional development.

Carlos Brodyمشاهده پروفایل

استاد

• Systems Neuroscience
• Cognitive Neuroscience
• Decision-making
• +۶ مورد دیگر

Carlos Brody is the Wilbur H. Gantz III '59 Professor of Neuroscience at Princeton University, where he leads a research group at the Princeton Neuroscience Institute. His laboratory employs a unique combination of computational, behavioral, and electrophysiological techniques to investigate the neural mechanisms underlying cognitive abilities. Dr. Brody's research focuses on understanding how the brain processes information during cognitive tasks, particularly examining short-term memory, decision-making, and time perception. His lab trains rats to perform complex cognitive tasks while recording neural activity, and develops computational models to explain the experimental findings. They have pioneered the study of 'internal signals' in neural activity that constitute 'the internal conversation of the mind,' with their key discovery being 'nTc' (Neurally-inferred Time of Commitment), a biomarker that indicates decision commitment before overt behavioral responses. Dr. Brody's laboratory has been continuously supported by HHMI (Howard Hughes Medical Institute) with renewal until 2032. They are currently conducting groundbreaking research using multiple Neuropixels probes for large-scale recordings across the brain while rats perform cognitive behaviors, representing what Dr. Brody considers the future of cognitive systems neuroscience that combines advanced recording technology, AI-based analysis, and well-controlled behavioral paradigms. Scientific Awards HHMI Investigator (renewed until 2032) Advising and Research Support Dr. Brody has mentored numerous successful researchers who have secured faculty positions and leadership roles: Marino Pagan (Nature publication, SFARI Bridge to Independence Award) Edward Nieh (faculty position at University of Virginia) Manuel Schottdorf (Nature publication) Sue Ann Koay (publications in Neuron and eLife, Group Leader at Janelia) Brian DePasquale (faculty position at Boston University) Emily Dennis (Group Leader at HHMI's Janelia) Ahmed El Hady (Group Leader at Max Planck Institute) Abby Russo (joined CTRL-Labs startup) Diksha Gupta (Best Paper Award at RLDM conference) His lab is currently supported by HHMI funding and is planning to implement next-generation Neuropixels probes in Spring 2025 to record from 6,000-12,000 neurons simultaneously across multiple brain regions. Research Team and Facilities The Brody Lab features a diverse team ranging from purely computational to purely experimental researchers. The lab emphasizes minimizing barriers between computational and experimental approaches, encouraging researchers to move freely along this spectrum based on their interests. They maintain state-of-the-art facilities for behavioral training, electrophysiological recordings, and computational analysis, with plans to implement next-generation Neuropixels recording technology in Spring 2025.

• Control Technology
• Distributed Optimization
• Machine Learning
• +۴ مورد دیگر

Mikael Johansson is a Professor at Kungliga Tekniska Högskolan (KTH), specializing in Control Technology . He teaches and coordinates courses such as Distributed Optimization (FEL3311) and various advanced-level degree projects in computer science, electrical engineering, and systems engineering. His research spans Control Systems , Machine Learning , and Optimization , with a focus on asynchronous algorithms, federated learning, and applications in energy systems and construction. His work includes 15 recent publications on topics like neural networks, distributed optimization, and battery technology. Notable areas of contribution are in asynchronous learning, federated learning with privacy constraints, and quasi-Newton methods for optimization. His research bridges theoretical advancements with practical applications in urban design, healthcare, and autonomous systems.

• Geometallurgy
• Compositional Data Analysis
• Geostatistics
• +۳ مورد دیگر

Dr. Raimon Tolosana Delgado is a Research Fellow at the Helmholtz-Zentrum Dresden-Rossendorf (HZDR), affiliated with the Helmholtz Institute Freiberg for Resource Technology. He leads research in predictive geometallurgy and statistical analysis of mineral resources, focusing on translating geological data into processing insights. His research integrates geostatistics , compositional data analysis (CoDa) , and machine learning to model ore behavior and resource potential. Key areas include: Predictive geometallurgy for forecasting ore/waste behavior Bayesian statistics for parameter estimation and uncertainty analysis Development of R-based tools (e.g., compositions and gmGeostats packages) for mineral data analysis Particle-based process modelling for mineral separation optimization Recent publications emphasize machine learning integration (e.g., neural networks for geophysical tensor fields), tailings reprocessing (3D geostatistical assessment of resource potential), and advanced statistical methods for compositional data. A consistent trend involves enhancing predictive accuracy in mineral processing through multi-source data fusion. Dr. Tolosana Delgado coordinates the development of technology platforms for geometallurgical data analysis, including databases and interfaces for industrial applications. His work bridges ore geology, mineral processing, and metallurgy to optimize resource efficiency.

Jonas Monié-Nordinمشاهده پروفایل

دانشیار

• Sámi Archaeology
• Global Historical Archaeology
• Critical Cultural Heritage Studies
• +۶ مورد دیگر

Jonas Monié-Nordin is an Associate Professor at Stockholm University's Department of Archaeology and Classical Studies , specializing in Sámi archaeology , global historical archaeology , and critical cultural heritage studies . His research spans from the High Middle Ages to contemporary societal issues, with particular focus on resource colonialism in Sápmi and Scandinavia's role in early modern globalization. Academic Credentials: PhD in Archaeology (2005, Stockholm University), Docent in Historical Archaeology Ongoing Project: Shared Spaces – Separated Past? (Swedish Science Board funded) investigating Sámi history in Central Scandinavia His interdisciplinary methodology combines material culture analysis, landscape archaeology, and historical source criticism. Recent fieldwork includes excavations of Sámi settlements in Dalarna, Hälsingland, and Uppland. He co-edited Scandinavian Colonialism and the Rise of Modernity (Springer 2013) and authored The Scandinavian Early Modern World (Routledge 2020). Beyond academia, he serves on the Truth Commission for the Sámi People (KU2021.02) and contributes to public debates through media outlets like Dagens Nyheter and Svenska Dagbladet . His work demonstrates how archaeology bridges historical injustice and contemporary reconciliation processes.

Mikhail Gelfandمشاهده پروفایل

استاد

• molecular evolution
• comparative genomics
• systems biology
• +۷ مورد دیگر

Mikhail Gelfand is a Full Professor and Director of the Center for Molecular and Cellular Biology at Skolkovo Institute of Science and Technology (Skoltech), where he also serves as Vice President for Biomedical Research. His distinguished career spans multiple prestigious institutions including Lomonosov Moscow State University and the Higher School of Economics. His educational background includes: 1985: MSc in mathematics (functional analysis) 1993: PhD in physics-mathematics (biophysics) 1998: DSc in biology (molecular biology) 2007: full professor (bioinformatics) Professor Gelfand's research focuses on molecular evolution, comparative genomics, systems biology, and metagenomics. His work examines eukaryotic processes including alternative splicing, mRNA editing, and chromatin structure, as well as bacterial genome evolution and transcription regulation. His lab combines data on three-dimensional chromatin structure, epigenetic states, and gene expression to obtain an integrated view of genome functioning across diverse organisms from humans to amoebae. One major research direction focuses on the evolution of transcript splicing and editing, while comparative analysis of bacterial genomes yields functional annotations of novel enzymes, transporters, and transcription factors. His recent publications demonstrate a strong focus on RNA editing in cephalopods, bacterial genome analysis, and computational approaches to understanding chromatin structure. The work spans molecular biology, evolutionary biology, and bioinformatics, with particular emphasis on how RNA editing contributes to adaptation and molecular evolution across metazoans. His research shows how edited adenines are more frequently substituted with guanine in evolution than their unedited counterparts, suggesting RNA editing may enhance adaptation. His notable awards include: The President of Russian Federation's Award for Young Doctors of Science (2000) The "Best Scientist of the Russian Academy of Sciences" award (2004) A. A. Baev Prize in Genomics and Genoinformatics (2007) Member of Academia Europaea (2010) As Director of the Center for Molecular and Cellular Biology, Professor Gelfand leads a research group that combines computational and experimental approaches to study genome function and evolution. His lab's work has significant implications for understanding molecular mechanisms of evolution and adaptation across diverse biological systems, from bacteria to complex eukaryotes. His research on metagenomics extends to practical applications in areas including coral disease, aphids, and oil wells.

• Language Acquisition
• Communicative Development
• Child Development
• +۵ مورد دیگر

Anna Theakston is a Professor of Developmental Psychology at the University of Manchester where she holds the position of Head of Division for the Division of Psychology Communication and Human Neuroscience. She is also Co-director of the ESRC International Centre for Language and Communicative Development (LuCiD), a major research initiative focused on language development in children. Dr. Theakston completed her undergraduate degree in Psychology at the University of Nottingham and earned her PhD through research at the University of Manchester on early language development in children aged 2-3 years. She subsequently coordinated the Manchester-based Max Planck Child Study Centre before being appointed to her current professorship. Her research focuses on children's early language and communicative development during preschool and early school years, situated within a usage-based framework that emphasizes child-environment interactions and caregiver input. Her work spans multiple areas including early gestural communication, caregiver-child interactions, grammatical construction acquisition, grammatical error origins, inflectional morphology, and syntax-semantics-pragmatics interfaces in complex language development. She frequently conducts crosslinguistic comparisons and employs diverse methodologies from corpus analysis to behavioral experiments, often collaborating with computational modelers. Analysis of her recent publications reveals strong emphasis on children's comprehension and production of complex sentence structures, particularly adverbial and complement clauses, with investigations into how information structure, iconicity, and pragmatic factors influence language development. Her work increasingly examines applications in real-world contexts including schools, nurseries, and cultural institutions, with growing attention to supporting deaf children's communication development and multilingual education. Co-Director, ESRC International Centre for Language and Communicative Development (LuCiD) Active researcher with 111 research outputs including articles, datasets, and book chapters Recipient of research funding from ESRC and Max Planck Institute Professor Theakston supervises numerous PhD students investigating various aspects of language development, with recent projects examining tag questions, cultural institutions' role in language learning for minority populations, science interventions for deaf children, and Modern Foreign Language teaching in multilingual classrooms. Her research has practical impact through tools like the Teacher Toolkit for Teaching Primary MFL in Multilingual Key Stage 2 Classrooms and initiatives supporting deaf children's social communication skills. She maintains active collaborations with researchers across multiple disciplines and institutions, as evidenced by her extensive co-authorship network. Her work contributes to UN Sustainable Development Goals related to quality education and reduced inequalities.

Sible Andringaمشاهده پروفایل

استاد

• Second Language Acquisition
• Bilingualism
• Language Pedagogy
• +۵ مورد دیگر

Sible Andringa is Professor of Second Language Pedagogy at the University of Amsterdam's Faculty of Humanities, officially inaugurated on June 16, 2023. Dr. Andringa serves as Academic Director of the Institute for Dutch Language Education (INTT), Coordinator of the Language Learning, Literacy and Multilingualism research group, and Coordinator of the Master's program in Dutch as a Second Language and Multilingualism. Dr. Andringa's research focuses on second language acquisition and bilingualism, specifically investigating the added value of explicit instruction, how input distribution affects language learning outcomes, and the role of awareness in language learning trajectories. Key ongoing projects include the Meta-LLL project examining how literacy shapes language learning, the SLA4All initiative for reproducing SLA research with non-academic samples, and the OASIS project creating accessible research summaries for practitioners. Previously, Dr. Andringa led Project MIND studying bilingual daycare effects and contributed to the Stilis project on listening proficiency. As General Editor of the Dutch Journal of Applied Linguistics (DuJAL), Dr. Andringa promotes open science principles in language research. Recent publications demonstrate a focus on addressing sampling biases in SLA research, open access publishing ethics, and practical applications of language acquisition research for educational settings. Academic Director, Institute for Dutch Language Education (INTT) Coordinator, Language Learning, Literacy and Multilingualism research group Coordinator, Master's program Dutch as a Second Language and Multilingualism General Editor, Dutch Journal of Applied Linguistics (DuJAL) Member, Mastery Team for Modern Foreign Languages Member, OASIS project team Member, IRIS database advisory group Dr. Andringa supervises PhD candidates including Kyra Hanekamp and Darlene Keydeniers, particularly in research related to bilingual daycare environments and language development. The research program has received funding from the Dutch ministry of Social Affairs for Project MIND and continues to secure support for ongoing projects examining language learning mechanisms. Dr. Andringa leads the Language Learning, Literacy, and Multilingualism research group which investigates language and literacy acquisition across the lifespan, with emphasis on how language skills are learned, maintained, and used in educational contexts. The group meets weekly to discuss projects, plans, funding opportunities, and research topics while promoting collaboration, methodological innovation, and open science principles.

John E. Taylorمشاهده پروفایل

استاد

• Smart City Digital Twins
• Urban Infrastructure Resilience
• Network Dynamics
• +۵ مورد دیگر

John E. Taylor is the Frederick Law Olmsted Professor and Associate Chair for Faculty Development and Research Innovation at the Georgia Institute of Technology's School of Civil and Environmental Engineering within the College of Engineering. His research focuses on the intersection of human and engineered networks, with particular emphasis on creating resilient infrastructure systems that serve society's needs while creating more livable communities. Taylor's research interests span multiple domains including Smart City Digital Twins , Urban Infrastructure Resilience , Network Dynamics , and Building-Occupant Interaction . His work examines how human behavior, infrastructure systems, and environmental factors interact during normal operations and extreme events. He has developed innovative approaches to understanding urban systems through the lens of network theory and computational modeling. His publication record demonstrates consistent contributions to the fields of urban analytics and infrastructure resilience, with a recent focus on digital twin technologies for urban systems. Taylor's work shows a clear trajectory toward increasingly sophisticated integration of AI, network science, and civil infrastructure engineering to address complex urban challenges. His research has particular relevance for cities facing climate change impacts and seeking to build more equitable and resilient communities. Taylor leads the Network Dynamics Lab at Georgia Tech, where he mentors PhD students and postdoctoral researchers. His lab has produced significant work on human-infrastructure interaction, particularly during disasters and extreme events. The lab's research combines computational modeling, data analytics, and field studies to understand and improve urban systems. His work has been applied to real-world challenges including river emergency response systems, urban heat exposure forecasting, and disaster response optimization. Taylor has collaborated with city officials and agencies to implement systems that have demonstrable community benefits, such as the AI-enabled camera system for drowning prevention on the Chattahoochee River and crime reduction systems using mobile cameras guided by AI algorithms.

Kibret Mequanintمشاهده پروفایل

استاد

• Biomaterials
• Tissue Engineering
• Regenerative Medicine
• +۶ مورد دیگر

Dr. Kibret Mequanint is a full Professor at Western University's Department of Chemical and Biochemical Engineering, with cross-appointments in Biomedical Engineering. Holding a PhD from University of Stellenbosch and postdoctoral experience at Technical University of Darmstadt and McMaster University, his research bridges polymer science, materials engineering, and life sciences with applications in Biomaterials , Tissue Engineering , and Regenerative Medicine . His work spans both fundamental and translational research in cell-material interactions , polymer biomaterial design , and therapeutic radiation dosimeters , with technologies transferred to commercial applications. Leading scholar and educator with awards from NSERC, CIHR, and Western University Fellow of: American Institute for Medical and Biological Engineering (AIMBE), Ethiopian Academy of Sciences, International Union of Societies for Biomaterials Science and Engineering, Canadian Academy of Engineering Extensive editorial and panel service for NSERC, CIHR, and international journals His research program has produced over 170 refereed publications, focusing on conductive hydrogels , bioadhesives , and vascular tissue engineering . Recent work on endoscopy-deliverable bioadhesives and snake venom-derived hemostatic gels has attracted global media attention. He has served in leadership roles at the Canadian Biomaterials Society and university governance bodies including Senate and Board of Governors.

Peter J. Thomasمشاهده پروفایل

استاد

• Systems Neuroscience
• Computational Neuroscience
• Theoretical Biophysics
• +۷ مورد دیگر

Peter J. Thomas is a Professor in the Department of Mathematics, Applied Mathematics, and Statistics at Case Western Reserve University's College of Arts and Sciences, with secondary appointments in Electrical Engineering and Computer Science, Cognitive Science, and Biology. He serves as Co-Editor-in-Chief of Biological Cybernetics and leads the Computational Biomathematics Laboratory. Primary Affiliation: Department of Mathematics, Applied Mathematics, and Statistics Secondary Affiliations: Department of Electrical Engineering and Computer Science, Department of Cognitive Science, Department of Biology Leadership: Co-Editor-in-Chief of Biological Cybernetics Thomas earned his B.A. in Physics and Philosophy from Yale University (1990), M.S. in Mathematics from the University of Chicago (1994), and both M.A. in Conceptual Foundations of Science and Ph.D. in Mathematics from the University of Chicago (2000). His research spans mathematical neuroscience, theoretical biophysics, and information theory applications to biological systems. Thomas specializes in understanding how noise and stochasticity affect neural coding, developing mathematical frameworks for gradient sensing in cells, and applying graph theory to biological networks. His work on stochastic shielding has provided novel approaches to simplifying complex stochastic models while preserving essential dynamics. His research bridges theoretical mathematics with experimental neuroscience through collaborations with the Chiel laboratory and others. Thomas's recent publications demonstrate a strong focus on stochastic oscillators, sensory feedback mechanisms, and information theory applications to biological systems. His work consistently develops novel mathematical frameworks to address specific biological questions, with significant contributions to understanding phase dynamics in neural oscillators and information processing in biochemical signaling. Core Fulbright Scholar Program (2013) Simons Fellow in Mathematics Program (2014) Multiple NSF grants as Principal Investigator Co-Editor-in-Chief of Biological Cybernetics Thomas has mentored numerous students at all levels, from undergraduates to postdoctoral researchers. His laboratory has produced successful scholars who have gone on to faculty positions at institutions like New Jersey Institute of Technology and the University of Nevada, Reno. He has actively organized workshops at the Banff International Research Station and served on editorial boards for leading journals in computational neuroscience. The Computational Biomathematics Laboratory focuses on developing mathematical frameworks to understand neural dynamics, cellular signaling, and pattern formation. The lab maintains strong collaborations with experimental neuroscience groups and has made significant contributions to understanding rhythmic neural systems, respiratory control mechanisms, and information processing in biological systems.

Sophie Caronمشاهده پروفایل

دانشیار

• Neuroscience
• Neurobiology
• Sensory Systems
• +۵ مورد دیگر

Sophie Caron is an Associate Professor in the Department of Biological Sciences at the University of Utah, where she leads a research laboratory investigating fundamental mechanisms of brain function using Drosophila melanogaster as a model system. Her work focuses on how the brain generates internal representations of the external world, stores memories, and translates these into behavior through multisensory integration. Education: B.S. from Université de Montréal Ph.D. from New York University Dr. Caron's research centers on the Drosophila mushroom body—a critical brain center for learning and memory—with emphasis on multisensory integration mechanisms. Her lab investigates how the brain combines information from multiple sensory modalities (olfaction, vision, etc.) to form unified percepts, challenging traditional views of sensory processing. Key discoveries include the demonstration that mushroom body connectivity follows near-random patterns that maximize memory capacity, and the identification of cross-modal sensory pathways beyond olfaction. Current work explores evolutionary adaptations in neural circuits across Drosophila species and developmental mechanisms establishing sensory wiring. Analysis of her 15 most recent publications (2019-2024) reveals three dominant research trajectories: (1) high-resolution mapping of Kenyon cell inputs using advanced techniques like dye electroporation, (2) computational modeling of how connectivity patterns shape sensory representation and learning, and (3) evolutionary studies of circuit architecture across Drosophila species. Her work consistently bridges experimental neuroanatomy with theoretical frameworks, emphasizing the interplay between random and structured wiring principles in neural circuit design. Scientific Awards: NSF CAREER Award (2021) for research on brain size evolution and neuronal circuit adaptation Dr. Caron mentors graduate students in the University of Utah's Molecular Biology Program and directs an active laboratory utilizing genetic, imaging, and behavioral approaches. Her research program is supported by competitive grants including the NSF CAREER award, with collaborations spanning neuroscience and evolutionary biology. Current projects investigate multisensory integration mechanisms, evolutionary drivers of neural circuit specialization, and developmental basis of sensory wiring. The Caron Lab maintains specialized facilities for Drosophila neurogenetics, advanced microscopy, and behavioral analysis. Her team collaborates with the University of Utah's Brain Institute and Center for Cell and Genome Science, contributing to interdisciplinary initiatives in neural circuit mapping and evolutionary neuroscience. Ongoing work explores how sensory representations evolve in response to ecological pressures and how circuit architecture enables flexible behavior in complex environments.

• Probability Theory
• Statistical Mechanics
• Random Walks
• +۳ مورد دیگر

Dr. Quirin Thomas Simon Vogel is a Senior Lecturer at the Department of Statistics, University of Klagenfurt. He previously held postdoctoral positions at the Technical University of Munich, New York University Shanghai, and served as an Interim Professor at Ludwig-Maximilians University of Munich. His research bridges probability theory with statistical mechanics and algorithmic applications. Current role: Senior Lecturer (2025) Previous roles: Postdoc (TUM, NYU Shanghai), Interim Professor (LMU Munich) His research focuses on: Random walks and their geometric/stochastic properties Randomized algorithms with applications in statistical models Quantum-inspired probabilistic systems (e.g. interacting bosonic loop soups) Large deviation theory for complex systems Percolation and phase transitions in particle models The articles reflect trends in probability theory, mathematical physics, and algorithmic applications. Key topics include high-dimensional percolation, Bose gas models, neural network theory, and stochastic geometry. The work combines rigorous mathematical analysis with interdisciplinary applications in physics and computer science. Scientific awards and functions cannot be determined from the provided data, as they describe other researchers. The department's research activities include projects on statistical learning, quantum models, and algorithmic probability, though Vogel's direct involvement in these specific funded projects isn't explicitly stated.

• Algorithms
• Algorithmics
• Big Data
• +۷ مورد دیگر

Stephen Alstrup is a Professor in the Algorithms and Complexity section at the Department of Computer Science (DIKU), University of Copenhagen, Faculty of Science. His research bridges theoretical computer science with practical applications in modern computational challenges. His primary research interests include: Algorithm design and analysis Graph algorithms and data structures Big Data processing techniques Streaming algorithms and Internet distribution Theoretical foundations with practical implementations Alstrup's work demonstrates how theoretical algorithm research can lead to real-world applications, as evidenced by his development of Octoshape technology for large-scale Internet streaming. His research spans from fundamental theoretical problems to applications in Big Data, cloud computing, and information retrieval systems. He has published extensively with 93 research outputs including journal articles, conference proceedings, and books. His recent work focuses on graph spanners, semantic hashing, recommendation systems, and universal graph structures, showing continued productivity in theoretical computer science. Alstrup actively engages with industry and media, contributing to discussions about Big Data applications, technology innovation, and how businesses can collaborate with universities to access cutting-edge knowledge and funding opportunities. His work has been featured in 10 media contributions discussing practical applications of algorithms in education, municipal IT projects, and business innovation.

Matthew Pelowskiمشاهده پروفایل

دانشیار

• Neuroaesthetics
• Empirical Aesthetics
• Cognitive Neuroscience
• +۷ مورد دیگر

Matthew Pelowski is an Associate Professor at the University of Vienna , affiliated with the Faculty of Psychology and the Institute for Psychology of Cognition, Emotion and Methods . He is a key member of the Cognitive Science Research Network . PhD in Information Science, Nagoya University (2011) MSc in Information Science, Nagoya University (2007) BFA in Studio Art (Oil Painting), University of Nebraska-Lincoln (2002) BJ in Advertising, University of Nebraska-Lincoln (2002) Pelowski's research bridges neuroaesthetics and cognitive neuroscience , focusing on how art impacts well-being , empathy , and social development . His work employs advanced neuroimaging techniques like fNIRS and hyperscanning to study interpersonal brain dynamics during art appreciation, while also exploring the relationship between artistic creativity and neurodegenerative diseases . Pelowski's recent publications reveal a strong focus on art's therapeutic potential , cross-cultural aesthetic differences , and temporal dynamics in art evaluation . His work has been recognized with prestigious awards including the APA Berlyne Award and the Alexander Gottlieb Baumgarten Award . American Psychological Association (APA) Berlyne Award (2020) Alexander Gottlieb Baumgarten Award (2016) Association of Media & Publishing Excel Awards Bronze Prize (2021) As Consortium Leader for projects like ARTIS (Horizon2020) and Unlocking the Muse (FWF), Pelowski drives transdisciplinary research connecting art with societal challenges and neurodegenerative disease studies . His work has been featured in over 30 media reports, demonstrating significant public engagement and societal impact.