جست‌وجوی استاد و پژوهشگر

• Aging
• Demography
• Population Health
• +۴ مورد دیگر

Heidi A. Hanson is an Assistant Professor in the Department of Surgery at the University of Utah. She serves as Assistant Director of Research at the Utah Population Database (UPDB) and is an Affiliate Member of the Scientific Computing and Imaging Institute (SCI Institute), as well as a research scientist at the Huntsman Cancer Institute. Doctoral Training: University of Utah MS Training: University of Utah BS in Behavioral Science and Health: University of Utah Her research focuses on the interplay between genetic and environmental influences on disease risk across the life course. Key areas include: Environmental determinants of health (e.g., air pollution, neighborhood effects) Familial clustering of diseases (cancer, cardiovascular, and reproductive health) Life course epidemiology linking early-life exposures to later-life outcomes Methodological advances in population health data analysis Interdisciplinary integration of clinical and translational research Her work leverages large databases (UPDB, SEER, NHANES) and machine learning to address precision medicine strategies. She has received a National Institutes of Health K07 award for her research on bladder cancer determinants and has published extensively on topics ranging from cancer survivorship to epigenetic aging. Collaborations span urology, oncology, environmental health, and computational biology.

Onkar Dikshitمشاهده پروفایل

استاد

• Geoinformatics
• Remote Sensing
• SAR
• +۶ مورد دیگر

Onkar Dikshit is a Professor in the Department of Civil Engineering at the Indian Institute of Technology Kanpur. He specializes in Geoinformatics and has made significant contributions to the field of remote sensing and geospatial technologies. His research interests include Remote Sensing Applications, SAR, Photogrammetry, GIS, GPS and Digital Image Processing for Engineering and Natural Resource Management Problems. Dr. Dikshit's work focuses on applying geospatial technologies to solve real-world problems in environmental monitoring, urban planning, and natural resource management. Dr. Dikshit has received the prestigious Professor B. B. Lal Chair Professor award, recognizing his contributions to the field. His research group consists of talented researchers including Sumanta Pasari, Saurabh Srivastava, Anand Mehta, Brajesh Kumar, Divyesh Varade, Jagadish B, and Naveen R. His work spans multiple disciplines including environmental science, geology, and engineering, with applications in air pollution monitoring, earthquake analysis, and urban environment management. Dr. Dikshit collaborates with researchers across various institutions and has published in high-impact journals across these fields.

Kristian Hay Kragholmمشاهده پروفایل

استاد بالینی

• Cardiology
• Out-of-Hospital Cardiac Arrest
• Heart Failure
• +۴ مورد دیگر

Kristian Hay Kragholm serves as a Clinical Professor in the Cardiology Department at Aalborg University Hospital within the Faculty of Health Sciences at Aalborg University, Denmark. His research is centered on cardiovascular outcomes, with particular emphasis on out-of-hospital cardiac arrest, myocardial infarction, and heart failure. Dr. Kragholm's research interests span several critical areas in cardiology, with a strong focus on out-of-hospital cardiac arrest , where he has made significant contributions to understanding survival factors, particularly regarding bystander defibrillation and emergency response times. His work on myocardial infarction includes investigations into cardiac rehabilitation, medication adherence, and ethnic disparities in treatment and outcomes. He also conducts important research on heart failure following various cardiac interventions, including coronary artery bypass grafting. A notable aspect of his work involves utilizing Danish national registries for large-scale cohort analyses, which provides robust epidemiological data for cardiovascular research. His publication record shows consistent high productivity, with over 367 publications and numerous ongoing projects including 'Resuscitating Older Adults' and 'Early warning - identification of developing blood clots.' His research demonstrates strong collaboration across Danish medical institutions, particularly with researchers at Aalborg University Hospital and other centers involved in the Danish Cardiac Arrest Registry. Dr. Kragholm's work has significant implications for clinical practice, particularly in optimizing emergency cardiac care, improving post-MI outcomes, and addressing disparities in cardiovascular treatment. His recent focus on socioeconomic factors in semaglutide use for weight loss indicates expanding research interests into the intersection of metabolic health and cardiovascular outcomes.

• GIS
• Geomatics
• Spatial Analysis
• +۵ مورد دیگر

Francesco Fiermonte is an External lecturer and teaching assistant at the Interuniversity Department of Territorial Sciences, Planning and Policies (DIST) at the Polytechnic of Turin. With extensive experience in GIS and geomatics since the early 1990s, he specializes in open source software and open data applications for territorial planning and urban studies. Education: Graduate in Architecture Master's in Free Software Management Dr. Fiermonte's research focuses on GIS, spatial analysis, open source software, and open data applications. His work bridges technical geospatial expertise with practical urban and territorial planning needs, emphasizing community engagement and sustainable development. He is particularly interested in how open technologies can democratize access to spatial information and support evidence-based planning decisions. His recent publications demonstrate a strong focus on applying GIS to cultural heritage, urban walkability, renewable energy planning, and community resilience. The work spans interdisciplinary collaborations across computer science, geography, urban planning, and literary studies, with a consistent emphasis on open source solutions and data accessibility. Professional Activities: AICA-accredited GIS Certifier Member of GFOSS.it (Free and Open Source Software for Geospatial) Scientific Manager for multiple GIS training projects including the YOUTH project As a dedicated educator, Dr. Fiermonte teaches 'GIS, Let's (Re-) Start' courses across multiple academic years and has developed numerous specialized training programs for municipal employees and other professionals. His teaching emphasizes practical skills development using open source tools. He is associated with the S3+LAB (DIST) research laboratory, which focuses on spatial data analysis for sustainable territorial development.

• Cybersecurity
• Artificial Intelligence
• Machine Learning
• +۴ مورد دیگر

Matteo Boffa serves as a Fixed-term Assistant Professor in the Department of Control and Computer Engineering (DAUIN) at Politecnico di Torino, Italy. He teaches courses including AI and Cybersecurity, Big Data for Internet Applications, and Databases across master's and bachelor's programs. His research spans cybersecurity, artificial intelligence, and data mining with emphasis on: Application of large language models for intrusion detection and malicious log analysis Social mining techniques for urban function identification Combinatorial optimization in network and security contexts Recent publications reveal a decisive shift toward leveraging language models for automated security analysis, with increasing focus on real-world deployment of AI-driven security tools since 2022. This trend bridges theoretical AI advancements with practical cybersecurity applications. Scientific Awards: No awards or fellowships were listed in available sources Teaching and Advising: Course collaborator for AI and Cybersecurity (Master's, 2024/25) Course collaborator for Big Data for Internet Applications (2022/23) Course collaborator for Interdisciplinary Projects (2022/23) Course collaborator for Databases (Bachelor's, 2024/25) Involved in doctoral supervision (2025 thesis: Language Models and Cybersecurity - Applications and Current Limits)

Mario Santana Quinteroمشاهده پروفایل

استاد

• Digital Heritage Documentation
• Building Pathology and Rehabilitation
• Heritage Conservation
• +۳ مورد دیگر

Mario Santana Quintero is a Professor at the Department of Civil and Environmental Engineering, Faculty of Engineering and Design, Carleton University. He serves as Director of the NSERC Heritage Engineering Program, Secretary-General of ICOMOS, Co-Editor of the Journal of Cultural Heritage Management and Sustainable Development , and holds visiting professorships at the University of Leuven and University of Parma. His research focuses on digital workflows for heritage conservation, including 3D building digitalization, sustainability simulation, and rehabilitation strategies. He emphasizes integrating BIM, GIS, and ethics in heritage documentation, with outcomes supporting adaptive reuse, maintenance, and post-destruction records. Digital Advancement Workflows for 3D Building Recording Building Sustainability Simulation and Energy Retrofit Condition Assessment and Rehabilitation of Historic Structures Heritage Ethics and Documentation Standards His recent publications highlight applications of non-destructive techniques, hygrothermal modeling, HBIM for decorated surfaces, and ethical frameworks in heritage conservation. Awards include the 2019 Getty Conservation Institute Scholar and a Doctorate Honoris Causa from Universite de Liege.

• Urban Energy Modeling
• Building Energy Performance
• GIS Applications in Urban Planning
• +۲ مورد دیگر

Sebastiano Anselmo is a Ph.D. candidate in Urban and Regional Development (38th cycle, 2022-2025) at the Interuniversity Department of Territorial Sciences, Planning and Policies (DIST) of the Polytechnic University of Turin, concurrently serving as an external teaching assistant at DIST and the Department of Energy (DENERG). His teaching portfolio includes: Building Physics module in Energy Transition and Low-Carbon Architecture B for Architecture for Sustainability (2023/24–2025/26) Geographic Information Systems for Digital Skills for Sustainable Societal Transitions (2023/24–2025/26) Challenge@PoliTo by Firms - Municipality of Turin for Engineering and Management (2024/25) His research centers on urban energy systems, with core expertise in: Integration of aerial thermography and Energy Performance Certificates for city-scale energy consumption modeling GIS-based solar radiation analysis for urban photovoltaic potential Exploitation of building stock databases in energy transition planning Satellite-derived attributes in EU Digital Building Stock Models Publications from 2024–2025 reveal a methodological focus on geospatial data fusion, sensitivity analysis of energy models, and practical applications for low-carbon urban development. His work bridges urban planning, energy engineering, and computational geosciences to address sustainable city transitions. No scientific awards were documented in the source materials. As a Ph.D. candidate under supervisors Piero Boccardo, Stefano Paolo Corgnati, and Maria Ferrara, Anselmo has no advisees. Grant funding details were not disclosed. No dedicated laboratory or research team affiliations beyond departmental roles were specified.

Nektaria Tryfonaمشاهده پروفایل

عضو هیئت علمی

• AI and Cybersecurity
• Spatiotemporal Databases
• Data Management Systems
• +۴ مورد دیگر

Nektaria Tryfona is a Collegiate Associate Professor at Virginia Tech's Bradley Department of Electrical and Computer Engineering, located at the Virginia Tech Research Center in Arlington. She holds a Ph.D., M.Sc., and B.Sc. in Computer Science from the University of Patras, Greece. Her research focuses on experiential learning at the intersection of AI and cybersecurity, resilient ML algorithms, spatiotemporal databases, and data management in data-intensive environments. She also develops industry-collaborative graduate capstone projects and teaches courses blending engineering with business principles. Her work emphasizes resilient ML for privacy/security , data quality in spatiotemporal systems , and geographic database design . Notable contributions include models for dynamic travel time prediction, ontology-based location services, and query optimization for user groups. Teaching interests extend to m-learning frameworks for K-12 education and professional development programs. While no awards are listed, her extensive publication record (spanning 1991–2017) showcases expertise in database modeling, geographic applications, and spatiotemporal systems. Advising/grants sections remain unspecified, and no lab/team affiliations are detailed.

• Machine Learning
• Database Systems
• Algorithms
• +۳ مورد دیگر

Dr. Ali Hadian is an Honorary Research Associate in the Department of Computing at the Faculty of Engineering, Imperial College London. His work focuses on advancing database systems, algorithms, and machine learning applications. He is particularly known for contributions to learned index structures, bridging algorithmic and machine learning approaches for efficient data management. His research interests span machine learning, algorithms, data structures, and their applications in databases and knowledge graphs. Notable projects include SWIX (memory-efficient indexing), COAX (correlation-aware indexing), and FarsBase (Persian knowledge graph). His work aims to optimize query performance, reduce latency, and enhance scalability in data-intensive systems. Dr. Hadian’s publications reflect a strong emphasis on theoretical foundations (e.g., asymptotic complexity analysis) and practical implementations (e.g., spatial indexing, biomedical data integration). His recent focus on learned indexes demonstrates innovation in merging traditional algorithms with modern machine learning techniques.

• Permafrost Science
• Climate Change
• Geosciences
• +۳ مورد دیگر

Ylva Sjöberg is a prominent researcher specializing in permafrost science, focusing on cryosphere dynamics, climate change impacts, and scientific outreach. Her work emphasizes standardized monitoring protocols for permafrost thaw (e.g., T-MOSAiC protocol) and innovative communication strategies like the 'Frozen-Ground Cartoons' project. She collaborates internationally on initiatives such as the SPLASH Action Group and contributes to Arctic science through publications in journals like Nature Reviews Earth & Environment and Arctic Science . Her research bridges environmental science with policy, emphasizing the societal relevance of permafrost studies. Key Projects: T-MOSAiC monitoring protocol, SPLASH Action Group, Frozen-Ground Cartoons Themes: Permafrost degradation, climate change adaptation, Arctic ecosystems, science communication

Olac Fuentesمشاهده پروفایل

دانشیار

• Machine Learning
• Computer Vision
• Natural Language Processing
• +۳ مورد دیگر

Olac Fuentes is an Associate Professor in the Computer Science Department at the University of Texas at El Paso. His primary research focuses on developing machine learning systems for scientific data analysis, with applications in astronomy, geology, biology, and optics. He specializes in leveraging unlabeled data, active learning, feature selection, and noise-aware algorithms to extract insights from complex datasets. Education: B.S. in Industrial Engineering from Instituto Tecnológico de Chihuahua M.S. in Computer Science from University of Texas at El Paso Ph.D. in Computer Science from University of Rochester Research Focus: Dr. Fuentes develops intelligent systems for interdisciplinary scientific challenges. His work spans machine learning theory (optimization, noise handling) and applied domains including: computer vision for environmental monitoring (Arctic change detection, glacier segmentation), neuroinformatics (brain mapping), and multimodal data fusion (prosodic analysis for communication disorders). He frequently employs deep neural networks, active learning, and novel regularization techniques. Publication Trends: Recent works demonstrate strong cross-disciplinary focus on climate science (satellite image analysis for coastal erosion), biomedical applications (neuroanatomy mapping, histology), and fundamental ML theory. His publications consistently integrate advanced neural architectures (CNNs, LSTMs) with domain-specific challenges in geosciences, neuroscience, and linguistics.

Marcus Michelangeliمشاهده پروفایل

مدرس

• Behavioral Ecology
• Ecotoxicology
• Environmental Science
• +۳ مورد دیگر

Dr. Marcus Michelangeli is a Lecturer in the School of Environment and Science at Griffith University (since August 2024), affiliated with the Australian Rivers Institute. He holds a PhD from Monash University (2017). His research focuses on wildlife adaptation to environmental change, particularly synthetic and psychoactive chemical pollution, behavioral ecotoxicology, and the role of behavioral individuality in ecological systems. He employs cutting-edge methods like animal tracking and AI-driven analysis to explore these themes. Research Themes: Behavioral Ecotoxicology: Investigates chemical contaminants' impacts on wildlife behavior and population/community dynamics. Behavioral Individuality: Studies mechanisms driving animal personalities, particularly under human-induced stressors like pollution and urbanization. Evidence Synthesis: Uses metascience to integrate ecological and ecotoxicological data for policy-relevant insights. He actively seeks Honours and PhD students for collaborative projects, emphasizing innovative tools and ethical practices. His supervision style includes weekly meetings, open communication, and support for professional development. He prioritizes inclusive, respectful research environments and transparent data management. Key Affiliations: Australian Rivers Institute (2024–present) Marie Skłodowska-Curie Fellow at the Swedish University of Agricultural Sciences (2023–2024) Postdoctoral Researcher at UC Davis (2018–2020) Laboratory and Group Focus: Builds a supportive research group emphasizing independence, grant applications, and interdisciplinary collaboration. Current work addresses pharmaceutical pollution’s impacts on migratory fish and community resilience.

Stefan Manegoldمشاهده پروفایل

استاد

• Database Systems
• Column-store Database Architectures
• Data Management for Sciences
• +۷ مورد دیگر

Stefan Manegold is a Professor for Data Management (0.2 fte) at Leiden University's Faculty of Science within the Leiden Institute of Advanced Computer Science (LIACS), while also serving as a Senior Researcher (0.8 fte) and former Head (2011-2024) of the Database Architectures Research Group at Centrum Wiskunde & Informatica (CWI) in Amsterdam. His career spans over 27 years at CWI and 11 years as a professor at Leiden University, with prior experience at Humboldt-Universität zu Berlin. Professor Manegold's research focuses on innovative database architectures, particularly column-store systems and hardware-aware database technologies. His expertise spans database query optimization, parallel and distributed information systems, XML storage and processing, and scientific data management. He has pioneered work in adaptive indexing, progressive query processing, and main-memory database systems that leverage modern hardware capabilities. His research bridges theoretical database concepts with practical implementations, as evidenced by his involvement in the MonetDB open-source database system. His work shows a clear evolution from foundational database research toward addressing modern challenges in big data management, scientific data processing, and interactive analytics. Recent publications demonstrate his continued leadership in database indexing techniques, GPU-accelerated database operations, and geospatial data management. Professor Manegold has received significant recognition for his contributions to the database community, including the prestigious 2020 ACM SIGMOD Contributions Award, the VLDB'2011 Challenges & Visions Track Best Paper Award, and the VLDB'2009 10-year Best Paper Award. His work has had substantial impact on both academic research and practical database system design. He has been actively involved in the academic community through conference organization, particularly with SIGMOD and VLDB events, and has contributed to numerous workshops including the Data Management on New Hardware (DaMoN) series. His leadership extends to collaborative research projects such as SciLens, PROMIMOOC, and DAMIOSO, which address data management challenges in scientific domains. Professor Manegold leads the Database Architectures Research Group at CWI, which has been at the forefront of database system research for decades. The group's work on MonetDB has influenced modern column-store database systems and continues to push boundaries in areas like progressive query processing and hardware-aware database design.

Yusdiel Torres-Cambasمشاهده پروفایل

پژوهشگر

• Freshwater Ecology
• Geocomputation
• Species Distribution Modelling
• +۴ مورد دیگر

Dr. Yusdiel Torres-Cambas is a Postdoctoral Researcher at the Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB) in Berlin, supported by the Alexander von Humboldt Foundation. He holds a PhD in Biology from the Universidad de La Habana, Cuba, and previously served as a lecturer at Universidad de Oriente. His research focuses on freshwater ecology, combining geocomputation, phylogenetic analysis, and ecological modeling to address biodiversity conservation challenges. Key research areas include spatial conservation prioritization, species distribution modeling, and the systematics of Odonata (dragonflies and damselflies). Notable projects include developing the GeoFRESH platform for freshwater geospatial data, contributing to the global EPTO database of aquatic insects, and leading conservation prioritization efforts in Cuba. He has also co-developed the hydrographr R package for hydrographic data processing. His work bridges computational tools with field-based studies, emphasizing open-source software applications in ecological research. Awards include the prestigious Humboldt Postdoctoral Fellowship. Projects such as DANUBE4all highlight his engagement in transboundary ecosystem restoration and citizen science initiatives. Education: PhD in Biology (201?), Universidad de La Habana, Cuba Professional Roles: Postdoc (IGB), Lecturer (Universidad de Oriente) Key Skills: Geocomputation, Species Distribution Modelling, Phylogenetic Analysis Current Projects: GeoFRESH, DANUBE4all, Freshwater Conservation in Cuba His research outputs span freshwater biodiversity databases, spatial conservation strategies, and taxonomic studies of Cuban endemic species. Collaborations include international teams working on aquatic macroinvertebrates and global biodiversity informatics.

Anna Jesseeمشاهده پروفایل

مدرس

• Earthquakes
• Geophysics
• Geological Hazards
• +۱ مورد دیگر

Anna Jessee is a Lecturer in the Department of Geology at Indiana University Bloomington, specializing in earthquake-induced landslides and seismic hazard assessment. Her research directly addresses global geologic hazards through predictive modeling, with professional affiliations including the American Geophysical Union (AGU), Seismological Society of America (SSA), National Association of Geoscience Teachers (NAGT), and Association of Women Geologists (AWG). Her educational background comprises: Postdoctoral Research, Indiana University Bloomington (2017–2018) Ph.D. in Geology (Geophysics minor), Indiana University Bloomington (2017) M.S. in Geology, Indiana University Bloomington (2013) B.S. in Environmental Geoscience, Michigan State University (2010) Dr. Jessee's research integrates geophysics and hazard mitigation to develop practical tools for landslide prediction, particularly focusing on earthquake-triggered events. Her work spans regional case studies in Costa Rica and Indiana while contributing to global datasets for near-real-time risk assessment. She emphasizes translating complex geoscience concepts into actionable hazard mitigation strategies for vulnerable communities. Analysis of her publications reveals consistent focus on seismic landslide modeling across diverse geographic contexts, with methodological evolution from regional case studies to global empirical frameworks. Key themes include scenario-based hazard mapping, fatality prediction models, and open-data initiatives through USGS repositories. Scientific recognition includes: Certificate in Effective Instruction (Association of College and University Educators, 2020) Indiana University Libraries Course Material Fellowship Center for Service and Learning Community Engagement Award for G107 course No information regarding student advisement or research grants appears in the source material. Her teaching portfolio demonstrates commitment to geoscience education through courses like Geology 130: Earthquakes – Agents of Destruction and development of online pedagogy techniques. While no specific laboratory or research team structure is documented, her collaborative publications with USGS and international researchers indicate participation in multi-institutional geohazard initiatives.