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Julia GelshornView profile

Professor

• Contemporary Art (19th-21st centuries)
• French 18th-century Art and Theory
• Artistic Appropriation
• +5 more

Julia Gelshorn is a full professor of modern and contemporary art history at the University of Fribourg , Switzerland, since 2013. She specializes in strategies of appropriation, repetition, and translation in art, with a focus on 21st-century practices and 18th-century French art theory. Her research explores artistic subjectivity, realism, and the intersection of art, politics, and economy. Education: Art History, Theater Science, and Italian Literature at the Universities of Cologne and Bern. Key Roles: Post-doctoral fellow at the German Center for Art History (2006-2008); visiting professor at HfG Karlsruhe (2008-2010); professor at Universities of Vienna (2010-2011) and Hamburg (2011-2013). Research Interests center on: (1) artistic appropriation as a critical and affective tool; (2) realisms across historical contexts; (3) artist interviews as legible texts; (4) art’s engagement with political and economic systems; (5) theoretical frameworks for visual culture. Her current Real Abstractions project (2023-2027) rethinks realism through social abstractions like financialization and digital networks. Scientific Contributions include the Lazarus Prize from the University of Bern’s Faculty of Humanities (2003) for her dissertation on Richter and Polke. Her publications span books like Aneignung und Wiederholung (2012) and edited volumes on artists such as Jean Tinguely (2016), while her recent articles address Martin Kippenberger, Rosemarie Trockel, and Benjamin Buchloh’s historiography. Notable Projects include the completed SNSF-funded Cinema in Art and Literature (2016) and the ongoing Real Abstractions initiative, which also involves a traveling exhibition and interdisciplinary workshops.

Aaron PuriView profile

Assistant Professor

• Chemical Ecology
• Drug Discovery
• Microbiome
• +7 more

Aaron Puri is an Assistant Professor of Chemistry at the University of Utah, specializing in chemical ecology and natural product discovery. His research focuses on bacterial interactions in methane-oxidizing communities and the biosynthesis of secondary metabolites. Education: B.S. from University of Chicago, Ph.D. from Stanford University School of Medicine Dr. Puri's work bridges microbiology and chemistry, with projects targeting: Chemical Ecology: Decoding interspecies signaling in methane-oxidizing bacteria Natural Products: Discovering therapeutics from underexplored bacterial genomes Biosynthesis: Activating cryptic gene clusters for novel compound production Recent publications highlight advancements in quorum sensing mechanisms (2025), inverse stable isotopic labeling techniques (2024), and methanotroph community dynamics. His research also explores spatially resolved model ecosystems for studying microbial phenotypes (2023-2024). Key methods include GNPS Dashboard for mass spectrometry analysis (2021-2022). Dr. Puri leads the CAREER-funded project on quorum sensing in methanotrophs (2024) and has developed genetic tools for industrial methanotrophs (2015). His lab maintains a strong focus on environmental microbiology and biotechnological applications.

Huaizu JiangView profile

Assistant Professor

• Computer Vision
• Computer Graphics
• Natural Language Processing
• +5 more

Huaizu Jiang is an Assistant Professor at Khoury College of Computer Sciences, Northeastern University. His research bridges computer vision, graphics, and natural language processing to develop AI systems that understand and reconstruct 3D visual environments. Prior to joining Northeastern, he was a Postdoc Researcher at Caltech and Visiting Researcher at NVIDIA. He holds a Ph.D. from UMass Amherst (advised by Prof. Erik Learned-Miller), and M.E./B.E. degrees from Xi'an Jiaotong University. His research focuses on fundamental challenges in 3D scene understanding, including geometry reconstruction, semantic interpretation, novel view synthesis, motion generation, and optical flow estimation. Core interests span video processing, human-object interactions, multimodal reasoning, and efficient edge-device implementations. Recent publications emphasize diffusion models for motion/scene generation, transformer-based 3D perception, and video interpolation. Key trends include multi-view consistency techniques, text-to-3D synthesis, and efficient real-time algorithms for robotics applications. Awards & Honors: Winner of the VQA Challenge 2020 He advises 15+ graduate students on projects spanning 3D reconstruction, motion synthesis, and vision-language models. His group collaborates with institutions like NVIDIA and Caltech, focusing on generative AI for dynamic scene understanding.

Anna BonifaziView profile

Professor

• Discourse Analysis
• Pragmatics
• Cognitive Linguistics
• +4 more

Prof. Anna Bonifazi holds a Professorship in Discourse Studies at the Department of Linguistics, University of Cologne. Her research spans Discourse Analysis, Pragmatics, Cognitive Linguistics, and Multimodal Communication with a focus on Ancient Greek Linguistics and Oral Epic traditions. She investigates phenomena like anaphoric cohesion in long texts, multimodal storytelling in film and oral traditions, and ancient Greek particles' discursive functions. Her work explores how multimodal elements (e.g., visual, musical, gestural) interact in communication, particularly analyzing films (e.g., mystery genres), ancient texts (e.g., Homeric epics), and South Slavic oral narratives. She examines cross-modal iconicity, viewpoint blending, and the cognitive underpinnings of discourse structures. Recent publications address topics like anaphoric strategies in crime stories and syntactic patterns in ancient Greek conversational frameworks. Prof. Bonifazi's research often bridges classical philology and modern cognitive theories, emphasizing embodied cognition and the interplay between language and other semiotic systems. She collaborates internationally on projects involving gesture analysis in storytelling and ancient papyrological studies. Her interdisciplinary work integrates linguistics with musicology, film studies, and cognitive science. Administratively, she oversees the Discourse Studies research group at Cologne and mentors assistants like Dr. Sandra Debreslioska and Madeleine Frings. Her lab focuses on multimodal discourse analysis using experimental and corpus-based methods.

Zixiang XiongView profile

Professor

• Machine Learning
• Image/Video Processing
• Network Information Theory
• +7 more

Zixiang Xiong is a Professor and Associate Department Head in the Department of Electrical and Computer Engineering at Texas A&M University, holding the Robert M. Kennedy '26 Endowed Professorship II. He earned his Ph.D. in Electrical Engineering from the University of Illinois at Urbana-Champaign in 1996. His career includes roles at Princeton University, University of Hawaii, and Texas A&M since 1999. Education: Ph.D., Electrical Engineering, University of Illinois at Urbana-Champaign, 1996 Visiting Research Associate, Princeton University, 1995–1997 University of Hawaii, 1997–1999 Research Interests: Focuses on machine learning, image/video processing, federated learning, network information theory, biomedical engineering, and communications. His work spans distributed source coding, genomic signal processing, and energy-efficient systems. Publications & Awards: Over 200 publications, including seminal works on distributed video coding and network information theory. Notable awards include the NSF Career Award (1999), ONR Young Investigator Award (2001), IEEE Fellow (2006), and the ECE Outstanding Faculty Award (2024). His research has led to patents in video compression and multimedia systems. Grants & Advising: Active in NSF-funded projects on coding theory and energy-delay tradeoffs. Advises numerous PhD and MS students, with over 50 alumni in academia and industry. Collaborates on biomedical imaging, remote sensing, and federated learning initiatives. Labs & Teams: Leads a dynamic research group at Texas A&M, focusing on cutting-edge projects in signal processing and machine learning applications. Collaborates with industry and governmental agencies on applied research.

• Tourism Studies
• Event Management
• Indigenous Tourism
• +4 more

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.

Jean LaurensView profile

Researcher

• Neuroscience
• Spatial Navigation
• Vestibular Systems
• +5 more

Jean Laurens is a Group Leader at the Ernst Strüngmann Institute (ESI) for Neuroscience in Cooperation with Max Planck Society in Frankfurt, Germany, where he heads the Laurens Lab. His research focuses on understanding how we sense our own motion and orient ourselves in three-dimensional space through neural mechanisms. His research interests include: Three-dimensional navigation and the neural basis of the 'brain compass' through head-direction cells in the limbic system Sensory signals for spatial navigation and how the brain integrates self-motion signals with visual landmarks Self-motion sensation and how the brain merges multiple sensory signals from the inner ear, vision, and proprioception with motor commands Laurens employs a multidisciplinary approach combining mathematical modeling and extracellular neuronal recordings in behaving Marmoset monkeys. His work spans computational neuroscience, systems neuroscience, and vestibular research, with significant contributions to understanding 3D orientation coding, gravity sensing in neural circuits, and spatial cognition. Recent publications demonstrate his focus on neural attractor networks, multisensory integration, and the representation of spatial orientation relative to gravity. His laboratory team includes researchers Francesca Lanzarini, Farzad Ziaie Nezhad, and Deepak Surendran, with Sogand Ghiasi managing laboratory operations. The Laurens Lab has been featured in media outlets including Süddeutsche Zeitung, with coverage of their work on balance mechanisms published in November 2020 and an article titled 'Du kannst mich Affe nennen' published on August 30, 2024.

• Operations Research
• Combinatorial Optimization
• Artificial Intelligence
• +3 more

Omar Rifki is an Associate Professor (Maître de Conférences) specializing in combinatorial optimization and artificial intelligence applications. His research bridges theoretical computer science with practical logistics challenges, focusing on routing problems, process mining, and machine learning integration for complex decision systems. His core research interests include phase transitions in NP-hard problems, vehicle routing optimization under time constraints, and healthcare process modeling. Rifki's work demonstrates a consistent pattern of integrating reinforcement learning with traditional optimization techniques to solve large-scale real-world problems in transportation and logistics, with particular emphasis on spatio-temporal data effects and collaborative systems. Analysis of his 15 publications (2019-2025) reveals three dominant research thrusts: (1) Fundamental studies of combinatorial problem hardness using phase transition frameworks, (2) Practical applications of deep reinforcement learning in vehicle routing and taxi assignment, and (3) Healthcare process optimization through advanced process mining techniques. His work consistently addresses scalability challenges in real-world implementations while maintaining theoretical rigor. No scientific awards were documented in the provided materials. His collaborative work with researchers like Christine Solnon and Thierry Garaix indicates active participation in European operations research communities, though specific grant details remain unreported. Rifki's research shows increasing integration of graph theory and machine learning in transportation applications, particularly evident in his Lyon City case studies on autonomous ride-sharing systems.

Antonio SimonettiView profile

Associate Professor

• Nuclear Forensics
• Geochronology
• Isotope Geochemistry
• +5 more

Antonio Simonetti is an Associate Professor at the University of Notre Dame in the Civil & Environmental Engineering & Earth Sciences department, affiliated with the College of Engineering. He leads the Isotope Geochemistry Laboratory and MITERAC facility, focusing on nuclear forensics, geochronology, and isotope geochemistry. His research spans high spatial resolution analysis of Earth materials, lunar studies, and bioarchaeological mobility tracing. Ph.D., Carleton University (1994) M.S., McGill University (1989) B.S., McGill University (1986) Research interests include: Nuclear Forensics: Developing microanalytical techniques for post-detonation materials and source attribution. Geochronology: Dating igneous and biogenic materials using U-Pb and other isotopic systems. Isotope Geochemistry: Investigating mantle-derived carbonatites and environmental pollution tracing. Bioarchaeology: Using Sr, Nd, Pb isotopes to study ancient human migration in Nubia and the Nile Valley. Recent trends in his publications highlight interdisciplinary applications of isotopic analysis across nuclear materials, lunar science, and archaeological studies. His group employs LA-MC-ICP-MS for high-resolution chemical and isotopic mapping. Students and collaborators span graduate, undergraduate, and international PhD candidates, with projects on uranium isotope signatures, carbonatite petrogenesis, and isotopic tracing of ancient civilizations. Current students include Julia Rufener (lunar KREEP analysis), Jiahua Wu (nuclear fuel cycle signatures), and Bennett Schmitt (REE mineralization in carbonatites). Labs and teams: Directs the Isotope Geochemistry Laboratory and MITERAC facility, supporting advanced ICP-MS and laser ablation analyses. Collaborates with institutions in Brazil, Turkey, China, and Ireland on geological and archaeological projects.

• Multiple stressors
• Environmental condition assessment
• Ecosystem services
• +4 more

Dr. Sebastian Birk is an environmental scientist and researcher at the Aquatic Ecology department within the Faculty of Biology at the University of Duisburg-Essen. His work focuses on the science-policy interface for aquatic ecosystems in Europe, emphasizing large-scale bioassessment and management under multiple stressors. He served as coordinator for the EU project MARS (2014-2018) and currently manages freshwater science initiatives at the European Topic Centre for Inland, Coastal and Marine Waters (ETC-ICM) supporting the European Environment Agency (EEA). Research Interests : Multiple stressors, ecosystem services, restoration ecology, environmental policy assessment, bioassessment methods, and climate change impacts. Teaching : Scientific writing, surface water ecology, taxonomic identification, and fieldwork in river/lake systems. Recent publications highlight integrated frameworks for freshwater restoration, stressor interactions, and policy-driven water management. Key themes include agricultural land use effects on rivers, diversification of restoration funding, and challenges in harmonizing ecological assessment across Europe. His work bridges ecological theory with practical implementation for sustainable water resource management. Projects like MARS and MERLIN reflect his leadership in addressing complex environmental issues through collaborative science and stakeholder engagement. Dr. Birk's role in the Water Framework Directive intercalibration exercises underscores his technical expertise in standardizing ecological assessment across national borders.

Oliver StaadtView profile

Professor

• Virtual Reality
• Augmented Reality
• Computer Graphics
• +7 more

Prof. Dr. sc. techn. ETH Oliver Staadt is Full Professor of Computer Science and Chair of Visual Computing at the University of Rostock , Germany. Since 2023 he also serves as Director of the Institute for Visual and Analytic Computing within the Faculty of Computer Science and Electrical Engineering . Previously he was Dean (2016–2018) and Vice Dean (2010–2016) of the same faculty. Education Ph.D. in Computer Science, ETH Zürich (2001) M.Sc. in Computer Science, TU Darmstadt (1994) Research Interests Prof. Staadt’s research spans virtual and augmented reality , computer graphics , visualization , telepresence , immersive analytics , and human–computer interaction . A particular focus lies on real-time rendering and display technologies for large high-resolution display systems, depth-image enhancement for RGB-D sensors, and interaction techniques that leverage spatial cognition and eye-tracking. His work is frequently applied to collaborative settings and microgravity environments, including experiments aboard parabolic flights and the International Space Station. Recent Publication Trends Between 2019 and 2021 his output centers on foveated rendering , AR viewpoint guidance , collaborative analytics on wall-sized displays , and embodied interaction metaphors . Earlier work addressed bandwidth-efficient telepresence, depth-image filtering, and physically-based animation. The corpus reveals a steady evolution from fundamental graphics algorithms toward applied immersive systems. Scientific Awards & Honors Fellow of the Eurographics Association Associate Editor, IEEE Transactions on Visualization and Computer Graphics (past) Associate Editor, Computers & Graphics (past) Associate Editor, Computer Animation and Virtual Worlds (past) Associate Editor, Frontiers in Virtual Reality (current) Chair, Expert Group on Virtual & Augmented Reality, German Informatics Society (2013–2020) Advising & Funding He has successfully supervised more than ten PhD graduates whose dissertations range from collision detection and physically-based animation to 3D interaction in microgravity and predictive user modeling. Current PhD researchers include Bipul Mohanto, Mana Takhsha, and Sven Kluge. His projects are supported by national and EU programs such as EVOCATION, SMOOTH, ARGuide, 3DPick, DIVA, and Telepresence. Labs & Teams Prof. Staadt leads the Visual Computing Group at Rostock, operating state-of-the-art facilities including large tiled display walls, VR/AR laboratories, and motion-capture systems. The institute hosts interdisciplinary collaborations with partners in visualization, computer vision, psychology, and aerospace engineering.

• Data Science
• Artificial Intelligence
• Machine Learning
• +10 more

Professor Zoheir Sabeur is Professor of Data Science and Artificial Intelligence at Bournemouth University (2019–present) and Head of the Processes and Behaviour Understanding (PRO_BU) Research Group. He concurrently serves as Visiting Professor of Data Science at Colorado School of Mines (2017–present) and held the position of Science Director at the IT Innovation Centre, University of Southampton (2009–2019). Over three decades he has led more than 30 large-scale projects as Principal Investigator, securing over £12 million of funding from the European Commission, UKRI, DSTL, NERC, EPSRC and industry. Education PhD in Theoretical Physics, University of Glasgow (1990) MSc in Theoretical Physics, University of Glasgow (1986) BSc First-Class Honours in Physics and Applied Mathematics, Université d'Oran (1984) Advanced Leadership Programme, Ashridge Business School (2011) Research Interests Professor Sabeur’s research focuses on the fundamental theory and application of data science and artificial intelligence to understand complex human, natural and industrial processes and behaviours. His work spans multi-modal sensing, big-data analytics and machine-learning algorithms that extract actionable knowledge from large heterogeneous datasets. Application domains include: Healthcare: AI-driven diagnostics and prognostics for chronic diseases such as COPD, asthma and cancers through omics and phenotypic data integration. Environmental & Climate: Earth-observation analytics for wildlife migration and climate-change impact assessment using satellite data and global grid systems. Maritime & Cyber-Physical Security: Real-time risk assessment for shipping in extreme environments, smart-city safety and critical-infrastructure protection using computer vision and sensor fusion. Recent research has produced novel AI classifiers that analyse lung-auscultation audio signals to grade COPD severity, as well as digital-twin frameworks for detecting malicious behaviour in urban spaces. Scientific Awards & Recognition Fellow of the British Computer Society (FBCS) Fellow of the Institute of Marine Engineering, Science & Technology (FIMarEST) Chartered Engineer (CEng) and Chartered Physicist (CPhys) Multiple ORS Awards (1987, 1988, 1989) Grants & Doctoral Supervision Professor Sabeur has secured and led more than 40 funded projects since 1996, including recent grants such as INSIGHT (NIHR, 2024) and S4AllCities (H2020, 2020). He currently supervises three ongoing PhD students at Bournemouth University and has successfully graduated three others, covering topics from computational hydrodynamics to AI-based respiratory-disease analytics. He welcomes enquiries from prospective postgraduate researchers interested in data science, AI and interdisciplinary applications under schemes such as UKRI and Horizon Europe.

Yong ChenView profile

Professor

• Fisheries Ecology
• Stock Assessment
• Population and Ecosystem Dynamics
• +3 more

Yong Chen is a Professor at the School of Marine and Atmospheric Sciences (SoMAS), Stony Brook University. He specializes in fisheries ecology, stock assessment, and climate change impacts on marine ecosystems. His research focuses on optimizing monitoring programs, evaluating fisheries management strategies, and understanding ecosystem dynamics under climate change. Education: Ph.D. from the University of Toronto (1995) Research Interests: Dr. Chen’s work addresses critical challenges in fisheries management, including stock assessment methodologies, climate-driven shifts in species distribution, and the integration of ecological and socio-economic factors into conservation strategies. His studies often involve advanced modeling techniques such as Ecopath with Ecosim and habitat suitability analysis. Key Themes in Publications: Recent articles highlight his focus on hybrid management strategies for mixed fisheries, climate impacts on species phenology and connectivity, and the efficacy of marine protected areas. He emphasizes data integration challenges and the development of decision support tools for sustainable fisheries. Grants and Advising: No specific grants or advisees are listed here. However, his research has likely involved collaborations with international fisheries organizations and government agencies. Labs/Teams: A lab site is referenced in his profile, though the specific team structure or ongoing projects are not detailed in the provided text.

Gregory BurtonView profile

Professor

• Haptic Perception
• Ambiguous Figures
• Psychology of Entertainment
• +3 more

Gregory Burton, Ph.D., is a Professor of Psychology at Seton Hall University's Department of Psychology. His research focuses on haptic perception, ambiguous figures, the psychology of entertainment, and the history of sensory research. He holds degrees from LaSalle University (B.A., 1985) and the University of Connecticut (Ph.D., 1990). Burton teaches courses such as Research Methods, Perception, and Cognitive Psychology. His work bridges historical and experimental psychology, exploring how touch and sensory perception inform human interaction with objects and environments. Notable contributions include studies on nonvisual gap judgment, ambiguous figures, and critiques of historical scientific claims. He has published extensively in journals like History of Psychology and Psychonomic Bulletin and Review . Research trends in his articles emphasize haptic perception techniques, the role of sensory misinformation in scientific history, and cognitive mechanisms underpinning ambiguous visual phenomena. His articles often integrate empirical experimentation with archival analysis, reflecting a multidisciplinary approach. Burton has not been noted for specific scientific awards, but his academic contributions are recognized through consistent scholarly output. His teaching focuses on foundational psychology areas, including perception and cognitive processes.

Parisa KordjamshidiView profile

Associate Professor

• Artificial Intelligence
• Machine Learning
• Natural Language Processing
• +7 more

Parisa Kordjamshidi is an Associate Professor of Computer Science and Engineering at Michigan State University (MSU), leading the Heterogeneous Learning and Reasoning (HLR) Lab. Her research focuses on Neuro-Symbolic AI, spatial language understanding, and structured learning, with notable contributions to frameworks like Saul for declarative programming. She joined MSU in 2019 after roles at Tulane University and the Florida Institute for Human and Machine Cognition. Education: Ph.D. in Computer Science from KU Leuven (2013), postdoctoral research at UIUC's Cognitive Computation Group, and work in the KnowEng project. Research Interests: Artificial Intelligence, Machine Learning, Natural Language Processing, Neuro-Symbolic systems, spatial semantics extraction, structured output learning, and multimodal reasoning. Key projects include NSF CAREER awards for spatial language understanding and ONR grants for integrating domain knowledge into AI. Awards: NSF CAREER (2019), Amazon Faculty Research Award (2022), Fulbright Scholar (2025), and Rising Stars at MIT EECS (2015). Grants: Active projects on Neuro-Symbolic compositional generalization (ONR), spatial language learning (NSF), and collaborations with the Department of Media and Information for health misinformation management. Professional Activities: Editorial roles at JAIR, TACL, and Frontiers journals; service on program committees for ACL, EMNLP, and AAAI; organization of workshops like Spatial Language Understanding (SpLU) and CLeaR. Lab and Software: HLR Lab develops Saul (declarative learning-based programming framework) and tools for spatial role labeling. Her team emphasizes mentoring, with structured weekly meetings, reading groups, and conference participation for students.