جست‌وجوی استاد و پژوهشگر

• Big Data Analytics
• Sentiment Analysis
• Data Management
• +۳ مورد دیگر

Bela Stantic is a Professor at Griffith University's School of Information and Communication Technology, where he founded and directs the Big Data and Smart Analytics Lab . With a PhD from Griffith University, his academic appointments include Head of School (2015-2019) and Deputy Head of School (2013-2015). He remains an active member of the Institute for Integrated and Intelligent Systems since 2005. Research Focus: Professor Stantic specializes in Big Data Analytics, particularly in social media sentiment analysis and complex data management. His interdisciplinary work spans tourism analytics, environmental monitoring, cryptocurrency forecasting, and AI ethics. Key applications include disaster response systems, aquaculture optimization, and sustainable infrastructure. Publication Trends: Recent articles (2023-2025) demonstrate strong emphasis on AI-driven solutions: 40% focus on time-series forecasting and cryptocurrency prediction, 30% on computer vision/LiDAR applications, and 30% on social media analytics for tourism and public policy. Machine learning integration across environmental and financial domains is a consistent theme. Grants & Projects: Secured 24 funded projects totaling ~$1.8M AUD, including: Automated seagrass monitoring ($403K, 2023-2025) NSW flood impact analysis via social media (2022) Offshore aquaculture welfare systems ($466K, 2022-2026) COVID-19 pandemic behavior tracking (2020) Student Advising: Supervised 15+ doctoral students to completion in areas like 3D data extraction, social media mobility tracking, and stream-processing engines. Currently mentoring PhD candidates on multimodal sentiment analysis and real-time recommendation systems.

Ouri Wolfsonمشاهده پروفایل

استاد

• Database Systems
• Distributed Systems
• Mobile Computing
• +۴ مورد دیگر

Ouri Wolfson is the Richard and Loan Hill Professor of Computer Science at the University of Illinois at Chicago (UIC), with a joint appointment at the University of Illinois at Urbana-Champaign (UIUC). He earned his Ph.D. in Computer Science from NYU's Courant Institute in 1984 and has previously held faculty positions at Columbia University and Technion. His research focuses on database systems, distributed systems, mobile/pervasive computing, and computational transportation science. His work bridges theoretical foundations with practical applications in intelligent transportation, urban computing, and mobile data management. Wolfson has authored over 200 publications spanning databases, transportation systems, and computational neuroscience. His recent work demonstrates strong focus on: Spatio-temporal algorithms for transportation networks Intelligent urban mobility solutions Computational neuroscience applications Resource management in distributed environments Honors include: ACM Fellow AAAS Fellow IEEE Fellow University of Illinois Scholar (2009) ACM Distinguished Lecturer (2001-2003) He founded two technology companies (Mobitrac, Pirouette Software) and has secured significant research funding from NSF, DARPA, NASA, and others, including a $3.1M NSF grant establishing a Ph.D. program in Computational Transportation Science.

Stasha Lauriaمشاهده پروفایل

مدرس

• Intelligent Robotics
• Neural Networks
• Pattern Recognition
• +۶ مورد دیگر

Dr. Stasha Lauria is a Lecturer in the Department of Computer Science within the College of Engineering, Design and Physical Sciences at Brunel University London. With over 15 years of experience in intelligent robotics, she specializes in human-machine interactions, neural networks, and pattern recognition, leading the Brunel Robotics Laboratory for cognitive mobile robot experiments. Education: Laurea, University of Studies “Federico II” of Napoli, Italy Ph.D. in Cybernetics, University of Reading, UK Research Focus: Her work centers on modeling mobile robots through natural language interactions, converting human speech into robot actions, and AI-driven signal processing. Current projects investigate social media's impact on human-robot dialogue management and robotics as educational tools, with strong emphasis on neural networks and big data applications in vision systems. Publication Trends: Recent publications (2022-2009) reveal consistent innovation in computer vision (object detection, segmentation) and human-robot interaction, increasingly integrating deep learning for manufacturing and vision tasks. Educational robotics remains a parallel thread, with quantitative evaluations of programming pedagogy. Research Grants: A human-centred internet of things platform for the sustainable mine of the future (European Commission, May 2020 - April 2024) Intelligent data-driven pipeline for certified metal parts manufacturing (European Commission, October 2018 - March 2023) Big Data Learning-based QoS Analysis for Cloud-services (Royal Society, March 2016 - February 2018) Laboratory & Collaboration: Founder of the Brunel Robotics Laboratory, she collaborates extensively with Dr. Theodora Koulouri, Prof. Xiaohui Liu, and Dr. Stephen Swift on human-robot interaction, as evidenced by co-author networks spanning neural networks, dialogue systems, and multi-agent architectures.

• Digital Humanities
• Spatial Humanities
• Artificial Intelligence
• +۷ مورد دیگر

Professor Patricia Murrieta-Flores is a faculty member at Lancaster University's School of Global Affairs and Co-Director of the Digital Humanities Centre. Her research focuses on the intersection of Digital Humanities, Artificial Intelligence, and Spatial Humanities to study Latin American colonial history, particularly 16th–18th century New Spain. She employs GIS, NLP, Computer Vision, and Machine Learning to analyze epidemics, economic systems, and indigenous spatial epistemologies. Research Grants : TAP/ESRC: Digging into Early Colonial Mexico AHRC/NEH: Unlocking the Colonial Archive ESRC: The Fleets of New Spain (2024–) Scientific Awards : Fellow, Royal Historical Society Fellow, Centre for Apocalyptic and Postapocalyptic Studies (Heidelberg) PhD Supervision : Katherine Bellamy Edward Moore Collaborative Networks : Cross-institutional projects with University of Lisbon, LLILAS Benson, and others Interdisciplinary teams combining Computer Science, History, and Archaeology

Armita Davarpanahمشاهده پروفایل

استادیار

• Environmental Science
• Geoscience
• GIScience
• +۱۱ مورد دیگر

Armita Davarpanah is an Assistant Professor in the Environmental and Health Sciences Department at Spelman College since 2015. She holds degrees in Chemistry (B.S.), Geochemistry (M.S.), and GIScience (Ph.D.) from Georgia State University and Azad University, Iran. Her work bridges geoscience, GIScience, and geoinformatics with a focus on geospatial and semantic modeling. Education: Ph.D. in GIScience, Georgia State University M.S. in Geochemistry, Georgia State University B.S. in Chemistry, Azad University, Iran Her research explores spatial-temporal analyses of Earth processes, natural hazards, climate change impacts on resources, and environmental justice. She has taught geoscience, GIScience, and environmental courses at Spelman College, Morehouse College, Emory University, and Georgia State University since 2014. Current projects include semantic modeling of the impacts of the COVID-19 pandemic on socioeconomic status with a focus on environmental justice, UN Sustainable Development Goals (UNSDGs), natural hazards like floods and monsoons, and rare earth element mineral systems. She emphasizes integrating new technologies into teaching and combining theory with fieldwork.

Jörn Ostermannمشاهده پروفایل

استاد

• Video Coding
• Computer Vision
• Machine Learning
• +۹ مورد دیگر

Prof. Jörn Ostermann is a Full Professor and Head of the Institut für Informationsverarbeitung at Leibniz Universität Hannover since 2003, with prior roles at AT&T Bell Labs and AT&T Labs-Research. He served as Dean of the Faculty of Electrical Engineering and Computer Science (2011–2013) and member of the Senat (since 2020). His research spans video coding, computer vision, machine learning, 3D modeling, and computer-human interfaces , with applications in SAR imaging, predictive maintenance, children's speech analysis, and cochlear implants. Key projects include Next Generation Video Coding , Conditional Coding for Learned Compression , and GreenAutoML4FAS . Notable trends in his recent publications (2025–2023) include Neural network-based video compression Uncertainty estimation in speech recognition Zero-delay coding for cochlear implants Domain adaptation for aerial image segmentation 3D mesh compression standards Error concealment in VVC coding Scientific recognitions: AT&T Standards Recognition Award (1998) ISO Award (1998) IEEE Fellow (2005) Distinguished Lecturer, IEEE CAS Society (2002/2003) MPEG Convenor (2020–2023) He co-authored a graduate textbook on Video Communications , holds >30 patents, and has led >20 research projects. His work bridges academic research and industrial standardization, particularly in MPEG and IEEE committees.

Claudia Poch Pérez Botijaمشاهده پروفایل

پژوهشگر

• Cognitive Neuroscience
• Working Memory
• Neurophysiology
• +۵ مورد دیگر

Claudia Poch Pérez Botija is a researcher affiliated with the School of Language and Education at Universidad Nebrija. Her work focuses on Psychobiology , particularly in cognitive neuroscience and neurophysiological mechanisms of memory and attention. Doctorate: Universidad Autónoma de Madrid (2015) Thesis: Neural oscillatory activity associated with attention orientation in working memory Supervisors: Dr. Pablo Campo Martínez-Lage, Dr. Luis Carretié Arangüena Key research areas include working memory dynamics , emotional processing , neural oscillations (alpha/gamma), and language cognition . Her studies often employ EEG/ERP techniques to explore memory-perception interactions and bilingual cognitive control. Recent publications reveal trends in: Pattern separation mechanisms during memory encoding Cross-modal integration in illusory perception Emotional primacy effects in memory recognition Lesion studies of temporopolar regions in epilepsy patients Neurogenetic influences on fear conditioning (D2 receptor variants) Alpha/gamma oscillation modulation in attentional processes She contributes to understanding mnemonic discrimination , semantic memory impairment in neurological conditions, and neural correlates of bilingualism . Her work bridges basic cognitive mechanisms with clinical applications in temporal lobe epilepsy. Active in the CINC Nebrija Research Center on Cognition and CEDI Research Group , she investigates interrelations between cognition, education, and individual differences.

Lusi Liمشاهده پروفایل

استادیار

• Computer Vision
• Machine Learning
• Wireless Communications
• +۵ مورد دیگر

Lusi Li is an Assistant Professor in the Department of Computer Science at Old Dominion University's Batten College of Engineering & Technology. She earned her Ph.D. from University of Rhode Island in 2021, with prior degrees from Zhongnan University of Economics and Law. Ph.D. in Electrical, Computer, and Biomedical Engineering (URI, 2021) B.S. and M.S. in Computer Science (Zhongnan University, 2014 & 2017) Her research focuses on Computer Vision and Machine Learning , developing scalable algorithms for robust representation learning from large-scale data with applications in industrial processes and wireless communications. Key areas include multi-view/multi-modal learning , transfer learning , few-shot/zero-shot learning , and imbalanced learning . Recent publications reveal expertise in semantic communication , 3D shape understanding , and dynamic spectrum management , with 2025 papers at MILCOM and ACM MM. Her work often integrates graph learning and domain adaptation techniques across wireless systems and industrial fault diagnosis. Awards include multiple federal grants (NSF, ICAR) and institutional honors (FP3, Cheng Fund). She actively mentors graduate students in research and serves on editorial boards for Information Fusion and Pattern Recognition . National Science Foundation (NSF) Grant for dynamic spectrum sharing ICAR grants for coastal community AI systems ODU's FP3 and Cheng Fund awards URI graduate fellowships and awards Her teaching portfolio includes undergraduate courses in theoretical computer science and graduate-level pattern recognition.

• Optics
• Ultrafast Laser Physics
• X-ray Sources
• +۳ مورد دیگر

Stéphane SEBBAN serves as Director with HDR (Habilitation à Diriger des Recherches) qualification at ENSTA Paris, Institut Polytechnique de Paris. He is affiliated with the Applied Optics Unit (LOA) where he leads research initiatives in Semantics of Hybrid Systems (SSH) and Ultrafast particle and X-ray sources (UPX). His research focuses on ultrafast laser plasma physics, with particular expertise in developing laser-plasma particle accelerators. His work contributes to ENSTA Paris's research axis on ultra-short laser plasma physics, which explores how femtosecond laser pulses generate plasmas with extraordinary properties. These specialized plasmas produce enormous transient electromagnetic fields capable of accelerating particles at magnitudes exceeding conventional magnet-based techniques. SEBBAN's research has significant industrial applications including compact high-intensity lasers, electromagnetic protection systems, medical laser-plasma therapy, radiobiology, radiotherapy, and ophthalmology. His work enables advancements in ultra-rapid matter observation during phase transitions, eye surgery techniques, medical imaging, lightning rod systems, and infrastructure protection. His laboratory develops X-gamma radiation sources from ultra-short laser plasmas, offering new possibilities for non-destructive testing with potentially orders-of-magnitude improvements in spatial resolution compared to conventional radiography systems.

• Air Pollution and Health
• Sustainable Cities
• Agent-Based Modelling
• +۶ مورد دیگر

Tabea Sonnenschein is a Researcher at Utrecht University , affiliated with the Faculty of Geosciences and Human Geography and Spatial Planning . She is also a PhD Candidate in the Department of Population Health Sciences under the Faculty of Veterinary Medicine . Her work bridges environmental science, urban planning, and public health through advanced computational modeling. Coordinated EU-funded EXPANSE (Horizon 2020) and EXPOSOME-NL (NWO) projects. Research Associate at the MRC Epidemiology Unit at University of Cambridge, contributing to DARe Hub and UBD Policy initiatives. Research Interests Air Pollution and Health: Modeling health impacts of urban pollutants. Agent-Based Simulation: Developing tools like GenSynthPop and CellAutDisp . Urban Sustainability: Assessing interventions for resilient, low-emission cities. Recent Publications highlight her work on urban exposome, synthetic population modeling, and subway expansion impacts. She contributes to journals like Environmental Modeling and Software , Autonomous Agents and Multi-Agent Systems , and Semantic Web .

Agnieszka Latosمشاهده پروفایل

مدرس

• Contrastive Linguistics
• Romance and Slavic Languages
• Second Language Acquisition
• +۴ مورد دیگر

Dr. Agnieszka Latos is a linguist and lecturer at SWPS University of Social Sciences and Humanities in Warsaw, affiliated with the Department of Hispanic and Italian Studies . Her research focuses on theoretical and contrastive linguistics, particularly between Romance and Slavic languages, with a specialization in semantic contrast, grammatical gender coding, and second language acquisition mechanisms. Key Collaborations : University of Genoa (2019), Ca' Foscari University (2015-2016), CNRS Paris (2011-2013), Max Planck Institute (2009) Projects : Co-coordinator of CRAB (Cross-linguistic Research on Analogy in Binomials, 2023-present); VILLA ANR-ORA (2012-2017) Her research interests include: Functional-cognitive linguistics Morphological processing in L2 acquisition Metaphorical expression systems Interaction between grammatical and natural gender Neo-standard Italian language teaching methodologies Polish-Italian cultural-linguistic interfaces Dr. Latos teaches courses in general linguistics, Italian-Polish translation, and practical Italian communication. She has developed pedagogical frameworks integrating cognitive linguistics with language teaching practices, particularly focusing on morphological acquisition in Polish L2 learners.

Jocelyn Chanussotمشاهده پروفایل

استاد

• Remote Sensing
• Hyperspectral Imaging
• Signal and Image Processing
• +۴ مورد دیگر

Jocelyn Chanussot is a Professor at Grenoble Institute of Technology, holding the AXA Chair of Remote Sensing. He is affiliated with GIPSA-Lab (Laboratoire de traitement du Signal et des Images) at Ense3 (École Nationale Supérieure de l'Énergie, l'Eau et l'Environnement) and maintains a connection with the Chinese Academy of Sciences through his AXA Chair position. His research focuses on advancing remote sensing technologies, particularly in hyperspectral imaging and artificial intelligence applications for environmental monitoring. Professor Chanussot specializes in hyperspectral imaging, which captures information across several hundred wavelengths, allowing for detailed characterization of physical properties in observed scenes. His work develops algorithms to extract meaningful information from complex remote sensing data, with applications spanning natural disaster monitoring, environmental observation, biodiversity assessment, and urban planning. He has pioneered approaches that leverage artificial intelligence, particularly deep learning techniques, to process and analyze large-scale remote sensing datasets. His scholarly output shows a clear trend toward integrating advanced AI techniques with remote sensing data. Recent publications demonstrate growing emphasis on transformer architectures, contrastive learning, generative models, and foundation models specifically adapted for hyperspectral data. His work increasingly addresses multimodal data fusion, anomaly detection, and real-time processing for applications in natural disaster response. Ranked among the 157 most cited French researchers in 2019 by Clarivate Analytics Professor Chanussot actively serves on numerous conference program committees, particularly for SPIE's Image and Signal Processing for Remote Sensing conferences. His research is supported by the AXA Research Fund through his AXA Chair in Remote Sensing, which focuses on developing algorithms for natural disaster monitoring and emergency response. He collaborates extensively with international institutions including UCLA and Stanford University on applications ranging from toxic gas detection to tropical forest biodiversity assessment. He leads research at GIPSA-Lab, focusing on developing advanced tools and algorithms for extracting information from complex remote sensing data. His team works on processing heterogeneous data including aerial photos, multispectral and hyperspectral images, and other environmental measurements to improve natural disaster prediction and response capabilities.

Domagoj Ševerdijaمشاهده پروفایل

استادیار

• Combinatorial Optimization
• Computational Linguistics
• Natural Language Processing
• +۴ مورد دیگر

Domagoj Ševerdija is an Assistant Professor at the School of Applied Mathematics and Informatics at Josip Juraj Strossmayer University of Osijek, where he leads the Computer Science and Machine Learning Research Group. He holds a PhD in Electrical Engineering (2013) and a dual BS in Mathematics and Computer Science (2007) from the University of Osijek. His research spans computational linguistics, natural language processing, machine learning, and combinatorial optimization, with applications in bioinformatics, robotics, and energy systems. Recent work focuses on neural language models, domain adaptation techniques, and efficient algorithm design. Publications show strong interdisciplinary trends: computational linguistics (Croatian morphology, sentence embeddings), bioinformatics (cell typing, RNA splicing), and algorithm optimization (terrain guarding, matrix operations). Recent papers emphasize knowledge distillation, domain adaptation, and compressed representations. Awards: Best paper award in AIS - Artificial Intelligence Systems track (MIPRO 2023) Research funding includes: Computer-Assisted Corpus Linguistics (UNIOS, 2019-2020) Croatian Identity Network Framework (Adris Foundation, 2020-2021) Croatian Language in Global Cloud (Adris Foundation, 2019-2020) Leads the Computer Science and Machine Learning Research Group, coordinating projects in NLP, computational geometry, and AI applications.

Alen Silvaمشاهده پروفایل

دانشیار

• Architectural Design
• Urban Architecture
• Sustainable Architecture
• +۳ مورد دیگر

Alen Silva is an Associate Professor at the School of Architecture Design , Pontificia Universidad Católica de Valparaíso, Chile. He focuses on architectural design, spatial representation, and structural methodologies, teaching workshops and courses since 2015. His work explores themes like void analysis, vertical house design, and observational techniques in architecture. Academic Rank: Associate Professor University: Pontificia Universidad Católica de Valparaíso Email: alen.silva@ead.cl Research Interests include architectural design theory, spatial representation frameworks, and the integration of void concepts in built environments. His projects, such as the Vertical House Workshop and Portico of the Arts , emphasize form, altitude, and functional design systems. Teaching Activities span workshops like Act and the Void , Language and Representation , and Architectural Construction from 2016 to 2025. He has mentored students including Erick Caro, focusing on graduation projects and design synthesis. Professional Contributions involve courses and workshops addressing architectural theory, observational techniques, and structural form. His work bridges design education with practical implementation, emphasizing craft, program, and form relationships.

• Geographic Information Systems
• Knowledge Graphs
• Historical GIS
• +۳ مورد دیگر

Nathalie Abadie is a Researcher at the Geographic Information Science and Technology Laboratory (LaSTIG) within the National School of Geographic Sciences at the University of Paris-East. She leads research in geographic information science with a focus on knowledge capture, geohistorical data, and semantic web technologies. Her work bridges historical geography, digital humanities, and artificial intelligence. Her research interests include structured data matching with geographic reference datasets, creation of geohistorical knowledge graphs, and knowledge acquisition for geographic data. She develops methodologies for spatial named entity linking, multimodal image matching, and historical data integration, particularly applied to urban evolution studies of Paris from 1789-1950. Dr. Abadie's recent publications demonstrate trends in geohistorical knowledge graph construction, historical document analysis, and real-time geolocation applications. Her work increasingly integrates machine learning with traditional GIS techniques to address challenges in historical data processing and disaster response. She actively advises PhD students including Solenn Tual, Charly Bernard, and Helen Mair Rawsthorne, and has led major research projects such as SoDuCo (Study of Urban Spatial Structures Evolution) and Mezanno (Collaborative Annotation Tools). Her grants include CNRS-funded initiatives in digital humanities and geospatial AI. Dr. Abadie co-leads the STRUDEL research team and directs multiple national working groups including the CNRS GDR MAGIS commission on Geohistorical Knowledge Graphs. She organizes major conferences including the French Knowledge Engineering Conference and workshops on Digital Humanities and Artificial Intelligence.