جست‌وجوی استاد و پژوهشگر

Robert Jungمشاهده پروفایل

استاد

• Financial Econometrics
• Discrete-Valued Time Series
• Computational Statistics
• +۲ مورد دیگر

Robert Jung is a Professor at the University of Hohenheim , affiliated with the Department of Econometrics and Economic Statistics under the Faculty of Business, Economics and Social Sciences . He joined the university in 2012 after holding professorships at the University of Erfurt and completing his postdoctoral degree at the University of Tuebingen. His current role includes serving as Vice-Dean for Research since 2014. Universities: University of Hohenheim, University of Erfurt, University of Tuebingen Departments: Econometrics and Economic Statistics, Computational Science Lab Research Interests span financial econometrics, discrete-valued time series, computational statistics, health econometrics, and spatial econometrics. His work focuses on modeling integer time series, volatility spillovers, and market interdependencies. Publication Trends include contributions to financial market analysis (2017-2006), discrete time series modeling (2015-2003), and cross-market dynamics (2014-1996). Key topics involve futures speculation, count data diagnostics, and stochastic volatility frameworks. Leadership Roles : Head of Department of Econometrics and Economic Statistics Speaker of Computational Science Lab Member of Faculty Board of Economics and Social Sciences

Zuzana Hofmanováمشاهده پروفایل

پژوهشگر

• Ancient DNA
• Archaeogenetics
• Population Genetics
• +۴ مورد دیگر

Zuzana Hofmanová serves as Group Leader at the Genetic History Group within the Department of Archaeogenetics at the Max Planck Institute for Evolutionary Anthropology in Leipzig, Germany. She concurrently established and leads the Ancient DNA Research Team at Masaryk University in Brno, Czech Republic, under the EXPRO grant FORMOR. Her educational background includes anthropology, archaeology and human genetics training at Masaryk University in Brno (2010) and Charles University in Prague (2012), followed by a PhD in ancient genomics of European hunter-gatherers and early farmers from Johannes Gutenberg University Mainz (2016). Hofmanová specializes in archaeogenetics with a focus on ancient DNA analysis to reconstruct population histories, migration patterns, and social structures. Her research integrates computational genomics with archaeological contexts to investigate major historical transitions including Slavic expansions, Avar elite migrations, and early farmer dispersals. Key methodologies include large pedigree reconstruction, fine-scale population sampling, and trans-Eurasian genetic connectivity analysis. Her publication trends reveal concentrated expertise in Eurasian migration history, with particular emphasis on Early Medieval Central Europe. Recent work demonstrates how genetic data can reveal reproductive barriers within culturally homogenous communities and reconstruct transcontinental connections between empires like the Xiongnu and European Huns. Honors include the prestigious EMBO Long-Term Fellowship supporting her computational population genetics research at the University of Fribourg. Current projects include the FORMOR initiative analyzing complex society formation in Early Medieval Moravia through multidisciplinary integration of genetic, archaeological, and isotopic evidence. Her work combines large-scale genomic analysis with fine-grained community studies to bridge macro- and micro-historical perspectives.

Mario Krennمشاهده پروفایل

استاد

• Artificial Intelligence
• Quantum Physics
• Machine Learning
• +۷ مورد دیگر

Mario Krenn is a Full Professor (W3) of "Machine Learning in Science" at the University of Tübingen since June 2025, leading the Artificial Scientist Lab. His research bridges artificial intelligence , quantum physics , and experimental design , focusing on developing AI systems that act as "artificial muses" to inspire novel scientific discoveries. ERC Starting Grant recipient (2024) for ArtDisQ project Developed PyTheus, a framework for AI-driven quantum experiment design Created XLuminA, a JAX-based simulator for microscopy and photonics Co-inventor of SELFIES, a robust molecular string representation His work has led to experimental implementations of AI-designed quantum protocols (e.g., entanglement without pre-existing resources) and gravitational wave detector concepts. He explores scientific understanding in human-AI collaboration, nonlocal interference phenomena, and the philosophical implications of AI-generated discoveries. Recent projects include predicting research trends via knowledge graphs and developing virtual reality tools to visualize AI-conceived quantum experiments. Scientific awards include the ERC Starting Grant 2024 and International Quantum Technology Emerging Researcher Award (Highly Commended) 2020 . He serves on the editorial board of Machine Learning: Science and Technology and actively promotes open science through GitHub repositories and community-driven initiatives.

• High Performance Computing
• Agent Based Modeling
• Analysis of Large Datasets
• +۴ مورد دیگر

Parantapa Bhattacharya is a Research Scientist at the Network Systems Science and Advanced Computing Division of the Biocomplexity Institute and Initiative at the University of Virginia. His work focuses on developing computational tools and systems for extracting meaningful insights from complex datasets, with applications spanning public health, social networks, and artificial intelligence. Dr. Bhattacharya's research interests center around High Performance Computing, Agent Based Modeling, Analysis of Large Datasets, and Explainable AI with special emphasis on Natural Language Processing models. His work bridges the gap between theoretical computer science and practical applications in epidemiology and social systems, creating scalable frameworks that can handle real-world complexity and data volume. His publication record shows a clear trajectory from social media analysis (2013-2016) toward pandemic modeling and response (2019-2022), reflecting the growing importance of computational epidemiology. His research spans multiple disciplines including computer science, epidemiology, social network analysis, and public health, with a consistent focus on developing scalable computational frameworks. The most recent publications demonstrate significant contributions to pandemic response infrastructure, with several papers related to the PanSim framework for agent-based pandemic modeling. Notable recognitions include being a Finalist for the 2021 ACM Gordon Bell Special Prize for High Performance Computing-Based COVID-19 Research and having work published in Nature Computational Science, highlighting the impact and relevance of his research during the global pandemic. Dr. Bhattacharya has developed significant computational infrastructure, most notably PanSim - a distributed pandemic simulator that enables large-scale agent-based modeling of disease transmission. His technical expertise spans distributed systems, high-performance computing, and machine learning, allowing him to tackle complex problems at the intersection of computer science and public health.

Patricia Wardمشاهده پروفایل

پژوهشگر

• Global/Transnational Sociology
• Labour/Laboratory Studies
• Humanitarian Aid & Development
• +۳ مورد دیگر

Dr. Patricia Ward is a Postdoctoral Research Associate in the Faculty of Sociology at Universität Bielefeld, specializing in Media Sociology within the Department of Sociology. Her work focuses on Global/Transnational Sociology, Humanitarian Aid, Labour Studies, Migration, and Mobility. She holds a PhD from Boston University (2020) and has held prior positions at TU Dresden and the Max Planck Institute. Her current research examines global humanitarian aid dynamics through a DFG-funded project titled “Many Moving Parts: Continuity, Disruption and Change in Global Humanitarian Aid Relations.” She has received numerous grants, including from DFG, DSF, and TU Dresden. Key research interests include the sociology of humanitarian logistics, labour practices in crisis contexts, and transnational aid relations. Her recent publications explore topics like humanitarian professionals, refugee volunteer valuation, and logistical framing of human movement. Ward is affiliated with international organizations including the International Sociological Association and German Sociology Association. Her work bridges ethnographic fieldwork with critical analyses of aid sector dynamics and global South research methodologies.

• Semantic Modeling
• Geographic Information Systems
• Spatio-temporal Databases
• +۳ مورد دیگر

Stefano Spaccapietra is a professor at the Swiss Federal Institute of Technology in Lausanne (EPFL) specializing in semantic modeling, geographic information systems, and spatio-temporal databases. A recipient of the 2012 Peter P. Chen Award, his research focuses on foundational aspects of data representation and knowledge engineering. His research explores: Semantic modeling for geospatial systems Multi-representation databases Trajectory data analysis and mobility patterns Ontology design for spatial information Temporal evolution in object-oriented systems Publication analysis reveals strong emphasis on: Fundamental theories of spatial and temporal representation Integration frameworks for heterogeneous systems Evolution of conceptual modeling approaches Spatio-temporal query processing techniques Awards & Honors: Peter P. Chen Award (2012) His work has significantly contributed to database integration methodologies and established foundations for modern geospatial data management systems through both theoretical frameworks and practical implementations.

• Mobile Crowd Sensing
• Visual Information Processing
• Medical Imaging Analysis
• +۵ مورد دیگر

Huihui Chen is an Associate Professor in the Department of Computer Science and Engineering at Northwestern Polytechnical University, specializing in mobile crowd sensing, medical imaging analysis, and control systems for autonomous vehicles. With over 50 publications spanning from 2013 to 2025, Dr. Chen has established a significant research presence in interdisciplinary areas combining computer science, engineering, and medical applications. Dr. Chen's research interests focus on mobile crowd sensing systems , particularly visual crowdsensing applications for smart cities and transportation. Their work extends to medical imaging analysis for conditions like Fragile X syndrome and granulosa cell tumors, as well as control systems for unmanned surface vehicles. The research demonstrates a progression from fundamental crowd sensing frameworks to sophisticated applications in medical diagnostics and autonomous systems. Key methodological approaches include sensor fusion techniques, neural network modeling, and optimization algorithms for dynamic environments. Recent publications reveal a growing emphasis on interdisciplinary applications, particularly at the intersection of computer vision and medical diagnostics. The 15 most recent articles demonstrate expertise across multiple domains including transportation systems optimization, neural network synchronization, and medical imaging analysis. This diverse portfolio shows a research trajectory that bridges theoretical computer science with practical applications in healthcare and autonomous systems. Dr. Chen actively collaborates with researchers including Bin Guo (31 joint publications), Zhiwen Yu, Chundi Zheng, and Aiguo Wang, forming a productive research group focused on mobile sensing technologies. The collaborative network extends across multiple Chinese institutions, with significant contributions to IEEE journals and international conferences in computer science and engineering.

• Cognitive Science
• Computer Science
• Education
• +۳ مورد دیگر

Christopher Young is a researcher with a diverse academic portfolio spanning Cognitive Science, Computer Science, and Biomedical Engineering. His work primarily focuses on Human-Computer Interaction , Virtual Reality applications , and Child Development in educational contexts. While his university affiliation is not explicitly stated in the provided texts, he earned his PhD from the University of Illinois Urbana-Champaign in 1992, specializing in digital filters. Young's interdisciplinary research bridges education , technology , and biomedical rehabilitation . Research Trends : His publications from 2024 to 1992 reveal a trajectory in Virtual Reality for workforce and management training Embedded Systems and energy-efficient object detection Cognitive Development in children's numerical and spatial abilities Biomedical Applications including surgical video summarization and motor rehabilitation Architectural Design with augmented reality interfaces Awards & Collaborations : No explicit awards are listed in the texts. His collaborations include prominent figures like Susan C. Levine (Cognitive Science), Boris Murmann (Electrical Engineering), and Barbara Cutler (Computer Science).

• Wireless Charging Networks
• Mobile Computing
• Edge Computing
• +۶ مورد دیگر

Haipeng Dai is a Professor at Nanjing University, affiliated with the State Key Laboratory for Novel Software Technology and also associated with Tianjin University's School of Computer Science and Technology. His research spans multiple areas of computer science with a strong focus on wireless systems and mobile computing. Dr. Dai's research interests primarily center on wireless charging networks, mobile computing, edge computing, UAV systems, sensor networks, and data management. His work demonstrates a strong theoretical foundation combined with practical applications, particularly in the areas of wireless power transfer and mobile sensing technologies. He has made significant contributions to understanding wireless charger networks, developing novel techniques for acoustic sensing, and optimizing resource allocation in edge computing environments. His research often bridges the gap between theoretical models and real-world implementations, with many papers published in top-tier conferences and journals. Analysis of Dr. Dai's recent publications reveals a strong trend toward interdisciplinary research combining wireless power transfer with mobile computing and sensing applications. His work shows increasing focus on practical implementations of theoretical concepts, particularly in the areas of wireless charging infrastructure, acoustic sensing for health monitoring, and optimization of UAV-based systems. The research demonstrates a clear progression from fundamental wireless charging concepts to more complex integrated systems involving multiple technologies. Dr. Dai has collaborated extensively with researchers including Guihai Chen (129 joint publications), Jiaqi Zheng (47 papers), Chao Dong (36 papers), and Rong Gu (35 papers), indicating strong research group leadership and collaborative networks across institutions. His work has significant implications for the development of next-generation wireless systems, particularly in the areas of energy-efficient mobile computing, contactless health monitoring, and intelligent resource allocation in distributed computing environments. The research portfolio demonstrates both depth in specific technical areas and breadth across multiple related domains within computer science and networking.

Jens Gerkenمشاهده پروفایل

استاد

• Human-Robot Interaction
• Assistive Robotics
• Human-Computer Interaction (HCI)
• +۳ مورد دیگر

Jens Gerken is a Professor of Technology for Inclusion: Mechatronics and Robotics at TU Dortmund University since July 2023, affiliated with the Research Unit for Inclusive Human-Robot Interaction. He holds a PhD (2011), Master (2006), and Bachelor (2004) in Information Engineering from the University of Konstanz. Previously, he was a Professor of Media Informatics (2015-2023), Managing Director of Immersion7 GmbH (2014-2016), and Senior Consultant at ICT AG (2011-2013). Key Research Focus: Inclusive human-robot collaboration mechanisms, transparency in AI-driven systems, mixed-reality simulation environments Expertise: Human-Computer Interaction (HCI), assistive robotics, adaptive control interfaces, accessibility design His work emphasizes trust-building through transparent interaction systems and accessible assistive technologies. Recent publications (2023-2024) focus on shared control mechanisms for robotic arms, AI-enhanced interfaces, and gamified rehabilitation tools like HoloBoard.

Casey Paquolaمشاهده پروفایل

پژوهشگر

• Neurodevelopment
• Neuroimaging
• Computational Neuroscience
• +۳ مورد دیگر

Dr. Casey Paquola leads the Multiscale Neurodevelopment Team at the Institute of Neuroscience and Medicine (INM-7), Research Center Jülich. His research focuses on understanding neurodevelopmental processes through multiscale frameworks that integrate postmortem histology, transcriptomics, and in vivo neuroimaging (e.g., MRI, EEG). The team studies cytoarchitecture maturation, connectivity, and functional dynamics across early life to elucidate mechanisms of neurodevelopmental disorders. Their work emphasizes microstructure as a bridge between postmortem and in vivo data, identifying principles like large-scale cortical gradients. Research methods include microscopy, neuroimaging, and computational modeling to construct brain models. Key areas of study include the default mode network, epilepsy-related brain changes, and the interplay between genetics and brain structure. The team develops tools like BrainSpace and Micapipe for analyzing structural-functional relationships in neuroimaging datasets. Led initiatives: ENIGMA-Toolbox for transdiagnostic analysis, BrainStat for statistical neuroimaging analysis. Focus areas: Cortical development gradients, functional resilience, and translational neuroimaging. Collaborations: Multidisciplinary teams combining computational, clinical, and experimental neuroscience. Future work aims to advance precision medicine through personalized brain mapping and understanding neurodevelopmental disorders' multiscale origins.

Frank Bauerمشاهده پروفایل

استاد

• Computational Manufacturing
• Digital Design
• Architectural History
• +۵ مورد دیگر

Frank Bauer is a Professor of Digital Fabrication at the University of Applied Sciences Erfurt (FHE) and holds a PhD fellowship at Berlin University of the Arts (UdK). He explores computational design and manufacturing, focusing on ontologies of digital modeling and fabrication processes. His research extends to industry applications and artistic production, with affiliations in the Cluster of Excellence 'Matters of Activity' and co-founding the planning agency Büro Vogel Bauer. Roles: Professor (FHE), PhD Fellow (UdK), Research Associate (Matters of Activity) Education: M.A. Architecture (UdK 2017), MA in Art History/Social Sciences (2012) Teaching: UdK B.A./M.A. Programs, Design&Computation MA (UdK/TU Berlin), Bartlett UCL's Design for Manufacture Research interests span computational manufacturing, material experimentation, and interdisciplinary art-fabrication workflows. He investigates historical and contemporary methods, bridging academic and industrial practices. Key Projects: Virtual Matters Lab, LogDesignBuild Suhl, Open Design M.A. Program Awards: Elsa-Neumann Fellowship, Margot & Paul Baumgarten Prize, Max Taut Award Bauer's work integrates art, architecture, and technology, emphasizing constraints and material agency. He advises on digital fabrication projects and collaborates with artists like Olafur Eliasson, gaining insights into contemporary art production processes.

Anke Hildebrandtمشاهده پروفایل

استاد

• Ecohydrology
• Terrestrial Water Cycle
• Vegetation Dynamics
• +۵ مورد دیگر

Anke Hildebrandt is a joint professor of Terrestrial Ecohydrology at Friedrich Schiller University Jena and the Helmholtz Centre for Environmental Research (UFZ). Her research focuses on the mutual interactions between the terrestrial water cycle and vegetation, with a particular emphasis on canopy processes, soil-water dynamics, and root water uptake. She holds a PhD in Hydrology from MIT and previously led the Ecohydrology group at UFZ before establishing her academic position in 2010. Education: 2000: Engineer for Water Resources Management, Technical University Dresden (Diploma thesis on salinization in the Murrumbidgee/Darling Basin) 2005: PhD in Hydrology, MIT (thesis on ecohydrology of a seasonal cloud forest in Oman) Research Interests: Canopy-Soil Water Interactions Root Water Uptake Optimization Plant Diversity Effects on Ecosystem Functions Scale-Dependent Hydrological Modelling Key Research Contributions: Quantification of throughfall spatial patterns and their influence on soil moisture dynamics Vegetation's role in shaping soil hydraulic properties and water redistribution Optimality principles in root water uptake strategies Awards: None explicitly listed. Advising & Grants: No specific grants or student advisees listed, though her work involves interdisciplinary collaborations across institutions. Labs/Teams: Active in the Institute of Geoscience at University Jena and the Computational Hydrosystems Department at UFZ. Central to the Bode Hydrological Observatory and the Jena Biodiversity Experiment.

Hauke Floresمشاهده پروفایل

پژوهشگر

• Sea-ice ecosystems
• Arctic marine biology
• Climate change impacts
• +۳ مورد دیگر

Dr. Hauke Flores is a marine biologist at the Alfred Wegener Institute (AWI), specializing in polar ecosystems and their response to climate change. His work focuses on sea-ice-associated fauna, Arctic and Antarctic biogeochemical processes, and the ecological impacts of ice loss. He leads research on key species like Arctic cod and Antarctic krill, emphasizing their roles in food webs and carbon cycling. His expertise includes polar oceanography, ecological modeling, and interdisciplinary projects such as the MOSAiC expedition. He advises policy groups like the Arctic Council's CBMP-CAFF initiative, linking science to conservation. Flores' research addresses climate-driven shifts in biodiversity, ecosystem services, and fisheries sustainability, with findings published in top journals like Biogeosciences and Ecological Applications . Awarded the Heinrich Award for climate science contributions, he also engages in education through lectures and seminars, bridging polar research with broader environmental challenges.

• Permafrost Research
• Climate Change
• Greenhouse Gas Emissions
• +۳ مورد دیگر

Dr. Lona van Delden is a Research Group Leader and Project Manager at the Alfred Wegener Institute's Permafrost Research department within the Polar Terrestrial Environmental Systems faculty. Her work focuses on understanding greenhouse gas emissions from Arctic and boreal ecosystems, particularly methane and nitrous oxide dynamics in permafrost regions. She leads projects such as FluxWIN, investigating non-growing season greenhouse gas fluxes, and studies the environmental impacts of thawing Yedoma permafrost. Institution: Alfred Wegener Institute Key Roles: Group Leadership, Project Management Fieldwork: Expeditions to Fennoscandia, Siberia, and Arctic regions Research Interests: Permafrost thaw dynamics, greenhouse gas emissions, soil biogeochemistry, and climate feedback mechanisms in Arctic ecosystems. Her work combines field measurements, laboratory analysis, and modeling to address climate change impacts. Key publications include groundbreaking studies on nitrous oxide emissions from Yedoma permafrost and methane dynamics in boreal peatlands. She actively collaborates with international teams and presents at major conferences like EGU General Assemblies and ICOS Science Conferences.