جست‌وجوی استاد و پژوهشگر

• Biomedical Informatics
• Integrative Genomics
• Clinical Data Analysis
• +۵ مورد دیگر

Marina Sirota is a Professor of Pediatrics at the University of California, San Francisco (UCSF) School of Medicine and the Acting Director at the Bakar Computational Health Sciences Institute. She leads the UCSF March of Dimes Prematurity Research Center and co-directs ENACT, a center focused on precision medicine for endometriosis. Dr. Sirota is also the founding director of the AI4ALL program at UCSF, which introduces high school girls to AI applications in biomedicine. Education: B.S. in Biomedical Computation, Stanford University (2006) M.S. in Biomedical Informatics, Stanford University (2006) Ph.D. in Biomedical Informatics, Stanford University (2010) Dr. Sirota's research focuses on developing computational integrative methods for disease diagnostics and therapeutics, with special emphasis on women's health. Her work spans biomedical informatics, integrative genomics, clinical data analysis, immune informatics, and data science. She applies advanced computational approaches to understand complex biological systems and translate findings into clinical applications, particularly in the areas of preterm birth, endometriosis, and Alzheimer's disease. Her recent publications demonstrate a strong focus on precision medicine applications across multiple disease areas including women's health, neurodegenerative disorders, and immunology. Dr. Sirota frequently employs cutting-edge techniques like single-cell genomics, transcriptomics, and AI-driven approaches to analyze complex biological data. Her research shows particular strength in sex-specific analyses and the application of computational methods to understand disease heterogeneity. Scientific Awards: AMIA Young Investigator Award (2017) Dr. Sirota has secured significant research funding from multiple sources including NIA, NLM, NIAMS, Pfizer, March of Dimes, and the Burroughs Wellcome Fund. Her current projects include studies on endometriosis, preterm birth, Alzheimer's disease, and immune-related disorders. She mentors numerous students and researchers in computational health sciences and has co-authored over 170 scientific publications. Her laboratory actively collaborates with clinical and basic science researchers across UCSF and other institutions. Dr. Sirota directs the Bakar Computational Health Sciences Institute at UCSF and leads multiple research centers focused on women's health, including the March of Dimes Prematurity Research Center and ENACT (Endometriosis: Novel Clinical Approaches Through Technology). Her team combines expertise in bioinformatics, machine learning, clinical medicine, and basic science to advance precision medicine approaches for complex diseases.

• Data Science
• Hyperspectral Imaging
• Machine Learning
• +۳ مورد دیگر

Hendrik de Villiers is a Researcher at Wageningen University & Research, specializing in Data Science & Informatics and Supply Chain Design . His work bridges computational methodologies with agricultural challenges, focusing on hyperspectral imaging and deep learning applications. Research Interests : Hyperspectral Imaging for agricultural disease detection Deep Learning in spectral data analysis Supply chain optimization using data science Transfer learning for instance segmentation Computer vision in plant phenotyping Recent Trends in Publications : His 2024–2025 work emphasizes hyperspectral imaging for fungal infection prediction in tomatoes, avocado disease detection, and spatial region analysis for improved model accuracy. Techniques include Mask R-CNN, XGBoost, and Partial Least Squares Discriminant Analysis. Collaborations : Active in interdisciplinary teams with co-authors like Chauhan, Filipovic, and Brdar, focusing on agricultural technology and data mining. Organized workshops on animal monitoring systems and presented keynote talks on spectral imaging applications.

Andrea Witcombمشاهده پروفایل

استاد

• Cultural Heritage
• Museum Studies
• Difficult Histories
• +۳ مورد دیگر

Andrea Witcomb is a Professor of Cultural Heritage and Museum Studies at Deakin University , specializing in the interpretation of difficult histories , memory studies , and sensorial museum practices . Her research bridges colonial collecting legacies, Indigenous agency, and contemporary ethical challenges in cultural institutions. Key Projects : Australian Research Council-funded studies on extra-territorial war heritage and migrant integration in museums . Collaborations with Western Australian Museum , Museum Victoria , and British Museum . Books : 'Reimagining the Museum' (2003), 'South Pacific Museums' (2006), and 'Museum Theory' (2015). Research Trends in her 15 most recent publications emphasize decolonizing methodologies , trauma ethics , and cross-cultural heritage practices , particularly in postcolonial and refugee contexts. Scientific Recognition : Awarded multiple Australian Research Council grants Contributing editor to the International Handbooks of Museum Studies Collaborative Efforts include partnerships with Indigenous communities, global museums, and institutions like the Smithsonian Museum and University of Florence .

• Sociology
• Welfare State Studies
• Digitalization and Governance
• +۶ مورد دیگر

Gunhild Tøndel is an Associate Professor in general sociology at the Department of Sociology and Political Science, Faculty of Social and Educational Sciences at the Norwegian University of Science and Technology (NTNU). Her academic journey at NTNU includes earning her PhD from the Department of Sociology and Political Science in 2014, followed by a postdoctoral fellowship at the Department of Interdisciplinary Cultural Studies from 2014 to 2017. Until summer 2025, she has held several leadership positions including subject group leader for sociology, study program leader for ÅSOS/BSOS/MSOS, and coordinator for the department's specialization within MORG (Organization, society, and change). Her educational background includes: PhD in Sociology and Political Science from NTNU (2014) Master's degree in Sociology (implied from her master's thesis "Diagnoser og forhandling. DRG-systemets interaksjon med den medisinske diagnosesettingen" from 2006) Tøndel's research moves at the intersection of welfare, technology, and knowledge production, with particular focus on digitalization, governance, aging, and life within health and care services. She has maintained a longitudinal research interest in governance technologies and their relationship to knowledge formation within public services, primarily examining the welfare state-citizen relationship. Her work frequently employs qualitative research methods to explore how datafication, metrics, and technological solutions transform public service delivery, particularly in healthcare contexts. Analysis of her recent publications reveals a consistent focus on how digital technologies reshape care practices, governance mechanisms, and professional work in welfare services. Her research increasingly examines the implementation challenges of welfare technology, particularly social robots for elderly care, while critically analyzing how quality measurement systems transform healthcare work. A recurring theme across her work is the examination of how quantitative metrics and datafication processes alter professional practices and citizen experiences within the welfare state. Professor Tøndel has been actively involved in several major research projects funded by the Research Council of Norway: CRIMKNOW - Digitalization and privatized knowledge regimes in criminal policy (2023-2027) AUTOWORK - Workers in transition through automation, digitalization and robotization (2020-2026) MASQ - Measuring quality: Exceeding the limitations of quality management in municipal health and care services (2020-2024) She has extensive teaching experience across all study levels, covering qualitative methods, project design, sociological theory, health sociology, and microsociology. Her educational contributions include co-authoring textbooks on bachelor thesis writing and research methods, reflecting her commitment to student development and academic supervision. Tøndel's research takes place at the intersection of several important societal developments, particularly examining how digital transformation affects welfare state institutions and citizen experiences. Her work provides critical insights into the implementation challenges of technological solutions in care contexts, with particular attention to how measurement systems and datafication processes reshape professional work and service delivery.

• 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.

Marie-Dominique Van Dammeمشاهده پروفایل

مدرس

• Geographic Information Systems (GIS)
• Spatial Data Integration
• Semantic Data Matching
• +۷ مورد دیگر

Marie-Dominique Van Damme is a Lecturer at the French National School of Geographic Sciences (ENSG), IGN's School of Geomatics, and is in charge of research and studies in the MEIG research team within the LASTIG research laboratory. She has been an IGN Teacher-Researcher at ENSG-Géomatique since August 2019, and from March 2025 will return to full research activities at LASTIG while continuing to teach programming with GIS, modeling, databases, and integration of heterogeneous data at ENSG. Dr. Van Damme earned her Computer Engineering degree with an information systems option from the National Conservatory of Arts and Crafts in 2010. Her professional experience includes: August 2019 – present: IGN Teacher-Researcher at ENSG-Géomatique May 2012 – July 2019: Research engineer at LASTIG, MEIG team May 2005 – April 2012: Project Manager at the National Forest Inventory June 2000 – April 2005: Web developer at Risc Group Her research focuses on semantic integration of heterogeneous geographic data, data matching, and the application of these techniques to mountain rescue scenarios. She has led and participated in several significant research projects including: CHOUCAS Project (ANR, 2017-2022): Multi-source semantic integration of landmark objects for mountain rescue LANDSENSE (H2020, 2016-2020): Crowd and community sourcing for land use monitoring UrCLIM (ERA4CS, 2017-2020): Retrieving land cover data for urban climate studies IntForOut (ANR, 2024-2027): Current project on trajectory analysis Dr. Van Damme has developed several software tools to support her research, including Tracklib (a Python library for GPS trajectory manipulation) and MultiCriteriaMatching (a Java library for multi-criteria data matching based on Belief Theory). Her recent publications show a strong focus on spatial data quality, landmark ontology development, mountain rescue applications, and the use of crowdsourced data for geographic information. The research trends indicate a progression from foundational work on data matching algorithms to applied research in emergency response scenarios, particularly mountain rescue operations. She has supervised numerous students including PhD candidate Mathieu Mehdi ZRHAL (defended 2023), research engineers, and multiple internship students working on geospatial projects related to mountain rescue, data integration, and GIS development. She has also led the pedagogical responsibility for the first-year master's degree in geomatics at Gustave Eiffel University from August 2019 to March 2025. Dr. Van Damme's work bridges theoretical research in geographic information science with practical applications in emergency response, demonstrating the real-world impact of geospatial technologies.

• Quantum Information
• Quantum Computing
• Quantum Communication
• +۵ مورد دیگر

Dr. Shahram Dehdashti is a researcher at the Chair of Theoretical Information Technology (Lehrstuhl für Theoretische Informationstechnik) at the Technical University of Munich (TUM), working under Prof. Boche. His research spans quantum information science, quantum communication, and quantum machine learning, with significant contributions to theoretical frameworks for future quantum networks and practical implementations in optical systems. His primary research domains include: Quantum Information and Communication Quantum Computing Algorithms Quantum Machine Learning Quantum Optics and Photonics Metamaterials and Transformation Optics Quantum Cognition He investigates quantum channel capacities, quantum-classical signal co-propagation, and quantum-enhanced feature spaces, while uniquely applying quantum probability models to cognitive decision-making processes. Analysis of his 2020-2025 publications reveals accelerating convergence between quantum computing and artificial intelligence, particularly in quantum federated learning for edge devices and quantum-inspired sentiment analysis. His work consistently bridges theoretical quantum information with practical optical implementations, while maintaining distinctive contributions to quantum cognition through experimental protocols for decision modeling. No scientific awards were documented in the source material. There is no evidence of student supervision or grant funding in the available information. Dr. Dehdashti operates within TUM's Chair of Theoretical Information Technology, which focuses on fundamental quantum information processing and theoretical aspects of next-generation communication systems.

Dietrich Kammerمشاهده پروفایل

استاد

• Technical Visualization
• Human-Computer Interaction
• Virtual Reality
• +۵ مورد دیگر

Dietrich Kammer serves as Professor of Technical Visualization at Dresden University of Applied Sciences' Faculty of Computer Science/Mathematics, holding Germany's first dedicated professorship in this field established to address growing demands for innovative visualization methods in human-computer interaction. His teaching emphasizes project-based learning grounded in solid theoretical foundations, focusing on virtual/augmented reality technologies and comprehensible user interfaces across programs including Media Informatics and Geomatics. His research centers on transforming abstract data into interactive visual representations through technical visualization, employing creative techniques like metaphor production and morphological analysis. Key focus areas include tangible user interfaces, elastic displays, and multimodal interaction systems designed to enhance user experience with complex datasets. He explores how customized graphical interfaces can make otherwise unmanageable data volumes visually interpretable and actionable. Analysis of his 2021-2025 publications reveals dominant research themes in elastic display technology, tangible interaction, and information visualization. Notable trends include adaptive visual assistance systems for smart factories (AVISAR), dynamic vibrotactile feedback mechanisms, and AI applications in metadata acquisition and learning analytics. His work consistently bridges theoretical frameworks with practical industrial and educational implementations. No specific details regarding student advising or research grants appear in available materials, though he advocates for student-led project development in his pedagogical approach. He directs the Technical Visualistics Working Group, which functions as an interdisciplinary platform for developing innovative interaction and visualization solutions through collaborative research and development initiatives.

Mihai Mocanuمشاهده پروفایل

مدرس

• Machine Learning
• Educational Data Mining
• Medical Imaging
• +۳ مورد دیگر

Mihai Mocanu is a Lecturer at the University of Craiova, affiliated with the Faculty of Automatic Control, Computers and Electronics. His work spans machine learning, educational data mining, and medical imaging technologies. Research Interests: He focuses on developing interpretable machine learning models, particularly using decision trees for educational data mining and GIS analysis. His work also includes designing e-learning systems with personalized recommendation workflows and enhancing engagement through data-driven approaches. Notable Contributions: Mihai has pioneered segmentation techniques for 3D medical imaging, created adaptive learning systems with stacked models, and explored social network impact on education. His research integrates pedagogical agents and usability evaluation frameworks in e-learning platforms.

• Archaeology
• Near Eastern Archaeology
• Prehistoric Settlements
• +۴ مورد دیگر

Dr. Bernd Müller-Neuhof is a researcher affiliated with the Topoi Collaborative Research Centre, a joint project of Freie Universität Berlin and Humboldt University of Berlin. He serves within Research Area A (Spatial Environment) as lead of Project A-1-5 "Ancient Colonizations of Marginal Habitats," focusing on prehistoric settlement patterns in Jordan's Badia region. His work centers on Chalcolithic and Early Bronze Age adaptations to arid environments through interdisciplinary analysis of archaeological and paleoenvironmental data. Müller-Neuhof's research explores human resilience in marginal landscapes, with expertise spanning desert agriculture, flint mining, and mobile subsistence strategies. He investigates how ancient societies developed sophisticated resource management systems in Jordan's basalt desert, integrating lithic technology studies with settlement geography. His methodology combines field surveys, stratigraphic analysis, and chronological frameworks to reconstruct socioeconomic activities in challenging environments, revealing how communities engineered rainwater-harvesting systems and exploited peripheral zones for specialized production. Analysis of his 2012-2017 publications reveals consistent focus on northern Jordan's prehistoric landscapes, particularly the Wadi Ruwayshid and Jawa regions. Key trends include chronological refinement of colonization phases, interdisciplinary synthesis of environmental and archaeological records, and comparative analysis of marginal habitat exploitation across the Old World. His work demonstrates how lithic technology studies illuminate broader socioeconomic patterns, with recurring themes of resource diversification and adaptive innovation in arid settings. Müller-Neuhof participates in the international "Ancient Colonizations of Marginal Habitats" project through Topoi's Spatial Environment research group. This collaboration involves scholars from multiple institutions conducting fieldwork in northeastern Jordan, with emphasis on mapping settlement expansions, mining complexes, and agricultural systems in the basalt desert. His team employs spatial data analysis and environmental reconstruction to understand long-term human adaptation to arid landscapes.

• Signal processing
• Audio processing
• Spatial audio
• +۷ مورد دیگر

Professor Christian Ritz serves as Director of SMART and Professor in the School of Electrical, Computer and Telecommunications Engineering within the Faculty of Engineering and Information Sciences at the University of Wollongong. He has held his professorship since 2017 and served as Associate Dean (Research) in 2022 and Associate Dean (International) from 2016-2021. Professor Ritz's research focuses on signal processing for speech, audio, acoustics and visual information. His current projects include microphone array signal processing for enhancing sound recorded in classrooms, sound scene classification for dementia care environments, spatial audio for Virtual and Augmented Reality, and undersea surveillance. His work spans multiple technical domains including signal processing, audio engineering, computer vision, and communications engineering. His recent publication trends show a strong focus on neural network applications for audio processing, particularly for classroom monitoring and spatial audio reproduction. His work integrates deep learning with traditional signal processing techniques to address challenges in spatial audio synthesis, room impulse response generation, and directional audio reproduction. He has also contributed to applications in mining automation, public safety surveillance, and positioning systems. Professor Ritz is a member of the Centre for Signal and Information Processing (CSIP), part of the Signals, Information and Communications Research Institute (SICOM) at the University of Wollongong. His research is funded by the ARC, overseas research institutes, and defense organizations. His grant portfolio is extensive, including projects such as AI/IoT-powered Airborne System for Monitoring Water Level and Tidal Floods, Multi-Modal Satellite-based Vessel Surveillance, Net Zero Industry and Innovation Program, Smart Eye: Airborne and AI-Driven Assessment Solution of Sugarcane, and numerous projects related to spatial audio and underwater surveillance. He has secured funding from diverse sources including the Australian Research Council, defense organizations, and international collaborations. Professor Ritz maintains an active research laboratory environment focused on signal and information processing. His work spans multiple application domains from classroom monitoring to underwater mine detection, with strong connections to both academic and industry partners. His research group appears to focus on practical applications of signal processing techniques to solve real-world problems across various domains.

Eloy Jose Lopez Menesesمشاهده پروفایل

استاد

• Educational Technology
• Gamification
• Artificial Intelligence in Education
• +۶ مورد دیگر

Dr. Eloy Jose Lopez Meneses serves as a Full Professor in the Department of Education and Social Psychology at Pablo de Olavide University in Seville, Spain. He holds leadership positions as Director of the Institutional Chair of Emerging Education and Technology, Gamification, and Artificial Intelligence (EduEmer) and Director of the EduInnovagogía Research Group (HUM-971). He also serves as Editor of the International Journal of Educational Research and Innovation (IJERI), which is indexed in JCR Q2 and SCOPUS Q2. Dr. Lopez Meneses earned his PhD from the University of Seville with a thesis titled 'Analysis of didactic models and teaching strategies in Distance Learning: Design and experimentation of an evaluation instrument for teaching strategies in distance learning courses for university training' in 2008, supervised by Dr. Julio Cabero Almenara and Dr. Pedro Cañal de León. His research spans educational technology, gamification, artificial intelligence in education, and digital competence development. His research interests focus on the integration of emerging technologies in educational contexts, with particular emphasis on gamification strategies, AI applications in education, digital competence development for educators, and innovative teaching methodologies. His work explores how technology can transform learning experiences while addressing social inclusion and accessibility challenges in educational settings. Dr. Lopez Meneses has supervised 19 doctoral theses and participated in over 30 competitive research projects, including 'Evaluation of ICT Policies in Educational Centers (2006-09)', 'Diagnosis and training of teachers for the incorporation of ICT in students with diversity Functional (2016-19)', 'Augmented Reality to Enhance Training (2015-17)', and 'Teacher Training in Inclusive Digital Competencies to Support Students with Autism Spectrum Disorders (2023-26)'. His publications demonstrate a consistent trajectory in educational innovation and technology integration. His scientific recognition includes an extraordinary doctoral thesis award from the University of Seville and recognition of three research sections (six-year periods) by the National Commission for the Evaluation of Research Activity of the Ministry of Education, Culture and Sports. As Director of the EduEmer Chair and EduInnovagogía Research Group, he leads initiatives exploring the intersection of education and emerging technologies. His International Journal of Educational Research and Innovation serves as a platform for disseminating cutting-edge research in educational innovation. His work with the international teaching group Innovagogía demonstrates his commitment to fostering global educational communities focused on pedagogical innovation.

Thomas Devogeleمشاهده پروفایل

استاد

• Geographic Information Systems
• Spatio-temporal data mining
• Moving object analysis
• +۳ مورد دیگر

Thomas Devogele is a Professor at the University of Tours, France, where he serves as Head of the Computer Science Department within the Faculty of Sciences and Technology. He is also Head of the Master 2 in IT and apprenticeships program and deputy director of LIFAT (Tours Fundamental and Applied Computer Science Laboratory). His academic career spans more than two decades, having previously served as an Assistant Professor at the French Naval Academy from 1998 to 2010. His primary research focuses on Geographic Information Systems (GIS), spatio-temporal data mining, and moving object analysis. Dr. Devogele's work specializes in trajectory data-mining, similarity measures between lines or trajectories using Fréchet distance, classification and outlier detection of trajectories, and spatio-temporal database integration. He currently leads research projects DOPAN and PERSONAE. His recent publications (2021-2025) demonstrate an expansion of his research into cycling infrastructure analysis, blockchain applications for business processes, personalized web service recommendations, and health data narratives (particularly tuberculosis in Gabon), while maintaining his core expertise in trajectory analysis and spatial data. His work bridges theoretical computer science with practical applications in transportation, public health, and urban planning. Dr. Devogele has supervised numerous PhD students who have gone on to successful academic and industry careers, including Fournier Sébastien (Assistant Professor at Université de Provence), Noyon Valérie (Leader of GIS department at the city of Niort), and Etienne Laurent (Assistant Professor at Tours University). His teaching responsibilities include Software Engineering, Object-Oriented Programming (Java), Geographic Information Systems, Artificial Intelligence, and Database courses for Computer Science students at the Blois campus. He has made significant contributions to the field through his extensive publication record spanning from 1996 to the present.

Milena Vukmirovićمشاهده پروفایل

دانشیار

• Urban Design
• Urbanism
• Sustainable Urban Development
• +۳ مورد دیگر

Milena Vukmirović is an Associate Professor at the Faculty of Forestry , University of Belgrade , with a focus on urban design and urbanism . Her work bridges academic research, civic engagement, and urban policy implementation. Teaching at all academic levels (Basic, Master’s, Doctoral studies) Advisor to Belgrade's Chief Urban Planner since 2015 Member of international academic networks (AESOP Young Academics) As co-founder of the 5km/h citizens' association (IFP member), she advocates for human-scale urban development. Her research combines climate-sensitive urban design with digital public space analysis , particularly through Places and Technologies conference contributions. 7 international journal publications 3 top-tier M21a journal articles Co-author in 5 conference proceedings Scientific awards include participation in COST Action 358 (Pedestrian Quality Needs) and COST Action TU 1203 (Crime Prevention through Urban Design). She currently leads the national Modernization of the Western Balkans project. Her professional affiliations span: Urban Laboratory (founding member) International Federation of Pedestrians Faculty of Architecture alumni network

• Geovisualization
• Cartography
• User-Centered Design
• +۵ مورد دیگر

Anthony Robinson is a Professor of Geography at University Park, Penn State , where he serves as Director of Online Geospatial Education Programs and Co-Director of the GeoGraphics Lab . He is also the E. Willard and Ruby S. Miller Professor in Geography and holds leadership roles in professional organizations, including Vice Chair of the ICA Commission on Geovisualization and Chair of the AAG Cartography & Mapping Specialty Group . Robinson's research focuses on designing and evaluating geovisualization tools to enhance the utility and usability of geographic information. His work spans domains such as epidemiology, crisis management, national security, and higher education , with a particular emphasis on visualizing absence in big spatial data and analyzing viral maps in social media . He has pioneered geovisual analytics systems using eye-tracking studies and map symbol standardization for emergency management. He teaches the popular MOOC 'Maps and the Geospatial Revolution' on Coursera, which has enrolled over 150,000 students globally since 2013. His publications address user-centered design , collaborative geospatial frameworks , and educational technology innovations . Robinson has led initiatives like the Inaugural Community Mapping Day and is a key figure in advancing geospatial education and research infrastructure at Penn State. Scientific Awards : E. Willard and Ruby S. Miller Professorship in Geography Leadership Roles : Director of Online Geospatial Education, Co-Director of GeoGraphics Lab, Past President of NACIS, Vice Chair of ICA Commission Research Themes : Cartographic design, geospatial cognition, social media geospatial analysis, and crisis informatics