جست‌وجوی استاد و پژوهشگر

• Information Science & Library Science
• Cultural Studies
• Digital Literacy
• +۷ مورد دیگر

Prof. NEVZAT ÖZEL is a Professor at the Department of Information and Record Management within the Faculty of Language, History, and Geography at Ankara University. He holds a Doctorate in Library and Information Science from Ankara University (2013) with research focused on information literacy and digital learning environments. His academic contributions span over 46 publications and 8 research projects, with interdisciplinary interests in information science, cultural studies, and museum informatics. Key research areas include digital literacy , library automation , museum information systems , and record management . His recent work explores blockchain applications in electronic document management, AI integration in libraries, and digital curation practices. He has advised 3 theses and contributed to institutional initiatives like the InterPARES 3 project on electronic records preservation. Publications highlight trends in Assessment of digital competencies among university students Impact of ICT on information systems and learning environments Standardization efforts (RDA, FRBR) in library cataloging Bibliometric analysis of academic journals He maintains active professional engagement through academic service roles, conference participation, and authoring guides like the University Document Management Handbook . His work bridges traditional archival practices with emerging digital technologies, emphasizing ethical and practical considerations in information management.

Jens Weberمشاهده پروفایل

استاد

• Software Engineering
• Safety and Security Engineering
• Health Informatics
• +۵ مورد دیگر

Jens Weber is a Professor and Associate Dean of Professional Programs & Development at the Faculty of Engineering and Computer Science, University of Victoria. He holds a PhD from the University of Paderborn and is a Professional Engineer (P.Eng.) in British Columbia. His research focuses on software engineering with emphasis on safety and security assurance in critical systems, particularly in healthcare, transportation, and defense sectors. He also investigates systems incorporating artificial intelligence and self-adaptation. He teaches courses on security engineering, software architecture, and formal methods. His affiliations include the School of Health Information Science at UBC and the Faculty of Medicine at UBC. Key research projects include GRAPE VINE (graph transformation tools), Information Security Assurance, Medical Device Software Certification, and Medical Systems Hazard Analysis. He serves on the Board of Engineers and Geoscientists BC, chairs the Academic Integrity Committee, and organized conferences like IEEE Health Informatics 2021. His work emphasizes bridging engineering practices with real-world software deployment challenges, especially in health informatics. Awards include the 2019 Société de Biomécanique Young Investigator Award for human body model validation research. Current initiatives include developing data quality frameworks for clinical systems, tool support for functional graph programming, and safety analysis methodologies for adaptive systems.

• Energy Systems Modelling
• Techno-Economic Energy Analysis
• Thermal Comfort Modelling
• +۱ مورد دیگر

Reihaneh Aghamolaei is an Assistant Professor in the School of Mechanical & Manufacturing Engineering at Dublin City University. Her research integrates building energy performance, techno-economic energy optimization, and thermal comfort modelling with a focus on digitization and computational techniques. She holds degrees in Building Engineering and Sustainable Planning, and her PhD addressed urban microclimate impacts. Prior to DCU, she lectured at UCD and worked in Ireland's AEC industry on sustainable building design.

• Biomedical Informatics
• Medical Informatics
• Pharmacoepidemiology
• +۵ مورد دیگر

Polina V. Kukhareva is a faculty member with the academic rank of Assistant Professor at the University of Utah, where she is affiliated with the Department of Biomedical Informatics in the School of Medicine. She holds a PhD in Biomedical Informatics and an MPH in Biostatistics, with prior degrees in Biostatistics and Public Health from Saint Petersburg State University and the University of North Carolina-Chapel Hill. Her research focuses on Digital health evaluation Health equity Electronic health record analysis Artificial intelligence in clinical settings Chronic disease management She has developed the ELICIT (Evaluation in Life Cycle of Health Information Technology) framework for evaluating digital health interventions. Recent research trends from her publications highlight applications of machine learning to EHR data for Lung cancer screening Weight management Diabetes pharmacotherapy Healthcare disparities Telemetry utilization AI impact assessment Her work emphasizes rigorous evidence-based methods across diverse clinical domains.

• Biomedical Informatics
• Health Information Technology
• Clinical Decision Support
• +۳ مورد دیگر

Peter A. Taber is a researcher in the field of Biomedical Informatics, with affiliations in academic and healthcare institutions. His work spans clinical decision support, health information exchange, and human factors in healthcare systems. Education: MSc and PhD from the University of Arizona, MSci from the University of Utah, BA from the University of Nebraska–Lincoln. His research focuses on leveraging informatics to address diagnostic uncertainty, improve antimicrobial stewardship, and enhance health information exchange technologies. He has explored the social dynamics of healthcare technologies and the impact of media on veteran healthcare trust. Recent publications highlight his commitment to justice, equity, and ethical design in AI-driven decision support systems, alongside foundational work in public health and environmental conservation.

• Clinical Decision Support Systems
• Electronic Health Record Systems
• Healthcare Standards
• +۵ مورد دیگر

Dr. Damian A. Borbolla is an Assistant Professor in the Department of Biomedical Informatics at the University of Utah's School of Medicine. He holds adjunct roles in Biomedical Informatics and leads executive training initiatives including directing the Master Program. His research focuses on Clinical Decision Support Systems (CDSS), Electronic Health Record (EHR) optimization, and healthcare standards adoption, with global engagement in WHO/PAHO initiatives to implement EHR systems across Latin America. Dr. Borbolla earned his MD from Universidad del Salvador (Argentina), specialized in Health Informatics at Hospital Italiano de Buenos Aires, and completed an MS in Biomedical Informatics at OHSU. His postdoctoral training spanned the University of Utah and OHSU's Biomedical Informatics departments. He is actively involved in the Sociotechnical ServiceLine and Knowledge Management & Mobilization Unit, addressing clinical informatics challenges. His work emphasizes interoperability, CDSS governance, and EHR implementation strategies. Recent projects include analyzing workflows for tobacco cessation interventions, optimizing critical care information displays, and evaluating EHR adoption barriers in low-resource settings. He collaborates internationally on standards development and has published extensively in health informatics journals.

• Biomedical Informatics
• Healthcare Data Management
• Clinical and Translational Research
• +۳ مورد دیگر

Andrew R. Post, MD, PhD, is a Clinical Associate Professor in the Department of Biomedical Informatics at the University of Utah School of Medicine and Director of Research Informatics at Huntsman Cancer Institute (HCI). He specializes in healthcare data management, software engineering, and data warehousing for translational research. His work focuses on simplifying access to electronic health record (EHR) data for cancer and disease studies, and he leads HCI's Research Informatics Shared Resource, which supports data management systems across genetic testing to population-level data. Previously, he held leadership roles at Emory University, including informatics director for the Georgia CTSA and All of Us Research Program. Education: MD - University of Pennsylvania School of Medicine PhD - University of Pittsburgh MS - University of Pittsburgh Bachelor of Arts - University of Pennsylvania His research emphasizes self-service EHR data access for population studies and systems architectures for clinical research. Over 15 years, he has developed software solutions to streamline data use in oncology and other disciplines. Publications highlight innovations in data warehousing, EHR integration, and temporal abstraction methods. His work bridges technical informatics with clinical practice, addressing challenges in data interoperability and scalability. Projects include optimizing data loading processes for i2b2 platforms and designing privacy-preserving data release systems.

• Public Health Informatics
• Clinical Decision Support
• Health Information Standards
• +۳ مورد دیگر

Catherine J. Staes, PhD, MPH, RN, FAMIA, FACMI, is an Assistant Professor in the Department of Biomedical Informatics at the University of Utah. She holds a PhD in Medical Informatics from the University of Utah and an MPH from Johns Hopkins University. Her career spans clinical nursing, epidemiology, public health service (CDC, state/local health departments), and health informatics research. Dr. Staes' research focuses on: Developing informatics solutions to bridge clinical and public health systems Designing clinical decision support tools for guideline implementation Advancing health data standards for interoperability Curriculum development in public health informatics Her work frequently addresses pandemic response, electronic case reporting, and patient-generated health data integration. Her publication portfolio (2018-2024) demonstrates strong emphasis on: Public health informatics infrastructure and emergency response systems Clinical AI applications in oncology prognosis and decision support EHR integration methodologies for quality measurement and patient-generated data User-centered design of health information systems Awards & Honors: Alexander D. Langmuir Prize (CDC Epidemic Intelligence Service) Fellow, American Medical Informatics Association (FAMIA) Fellow, American College of Medical Informatics (FACMI) She mentors graduate students (including PhD advisee Huff SM) and serves on the editorial board of the Journal of the American Medical Informatics Association. She has led curriculum development for National Library of Medicine training programs and collaborates extensively with public health agencies.

Chuanrong (Cindy) Zhangمشاهده پروفایل

استاد

• Geographic Information Science
• Spatial Economics
• Spatial Analysis
• +۴ مورد دیگر

Chuanrong (Cindy) Zhang serves as a Professor in the Department of Geography, Sustainability, Community, and Urban Studies Education at the University of Connecticut. Her academic career centers on Geographic Information Science and Systems, with significant contributions to spatial analysis methodologies applied across health, transportation, and environmental domains. Her educational background includes a Ph.D. from the University of Wisconsin-Milwaukee (2004), establishing her foundation in advanced geospatial research. Professor Zhang's research program integrates Geographic Information Science with spatial economics and computational statistics. She pioneers innovations in geospatial semantic web technologies, volunteered geographic information systems for emergency response, and advanced land cover classification techniques. Her work consistently addresses real-world challenges in public health infrastructure, transportation networks, and environmental sustainability through rigorous spatial modeling. Analysis of her publication record reveals a strong emphasis on computational scalability and data interoperability in geospatial systems. Her research frequently bridges computer science frameworks with domain-specific applications, particularly in disaster management scenarios where rapid geospatial data processing is critical for life-saving decisions. Professor Zhang has secured major research funding including a USGS grant (2017-2020) for optimizing spatial knowledge queries of The National Map and an NSF Dynamics of Coupled Natural and Human Systems grant (2014-2017) investigating socio-ecological dynamics in Long Island Sound watersheds. These projects demonstrate her leadership in large-scale, interdisciplinary research addressing complex environmental and societal challenges.

Gabor Bellaمشاهده پروفایل

دانشیار

• Multilingual Systems
• Semantic Interoperability
• Domain-Aware Approaches
• +۷ مورد دیگر

Gabor Bella is an Associate Professor at IMT Atlantique, France and a guest researcher in the KnowDive group. His research focuses on multilinguality in computer systems, with emphasis on semantic interoperability, domain-aware solutions, and ethical support for low-resource languages. He leads research and development in linguistic resource generation, bias mitigation in language models, and the UKC lexico-semantic database (http://ukc.datascientia.eu) alongside the LiveLanguage platform (http://www.livelanguage.eu). Previously, he managed EU-funded projects such as InteropEHRate (cross-border electronic health records), Healthcare Data Safe Havens (medical experiment integration), ESSENCE Marie Curie training network (organizing academic events), and QROWD (crowdsourced transportation data curation). He co-developed the SMATCH tool for ontology matching and led multiple work packages (WPs) in interdisciplinary initiatives. His work bridges technical advancements with societal impacts, addressing challenges in healthcare interoperability, multilingual data systems, and equitable language technology access.

Alessio Zamboniمشاهده پروفایل

پژوهشگر

• Knowledge Graphs
• Natural Language Processing
• Data Integration
• +۳ مورد دیگر

Alessio Zamboni is an academic researcher and senior software engineer at the University of Trento, where he earned a MSc in Computer Science. He holds roles in the Department of Information Engineering and Computer Science, contributing to the KnowDive research group focusing on Knowledge Management, DevOps, and NLP. His career began at 17 as a full-stack developer, evolving into research roles at Fondazione Bruno Kessler (geographical information systems) and exchange studies in China (Zhejiang and Jilin Universities). Research interests span knowledge graphs, data integration, and software engineering. Notable projects include interoperable electronic health records and university system integration architectures. He has advised EU-funded initiatives in technical education and contributed to multilingual data disambiguation systems. Labs: Active member of the KnowDive Group at University of Trento, collaborating on interdisciplinary projects blending AI, data systems, and educational technology.

• Artificial Intelligence
• Geospatial Data Quality
• Urban Traffic Modelling
• +۵ مورد دیگر

Victoria Lush is a Research Associate at Aston University, affiliated with the College of Engineering and Physical Sciences and the Aston Centre for Artificial Intelligence Research and Application. Her research focuses on geospatial data quality, environmental data management, and AI-driven solutions for urban and healthcare challenges. She completed her PhD in 2015 on visualizing geospatial dataset quality, advised by Professors Lumsden and Bastin. Her work bridges computer science, environmental science, and healthcare. Key areas include FAIR compliance in citizen science data, digital twin applications for sustainability, and traffic modeling using genetic programming. She co-authored the 'GEO Label' framework for geospatial metadata quality visualization, recognized by a Best Paper Award at the 2018 International Conference on Trust Management. Lush’s recent projects address Green Deal Data Space challenges, integrating geospatial and sensor data for environmental policy support. She also pioneers augmented reality tools for mental healthcare accessibility and develops machine learning approaches for urban infrastructure optimization. Her interdisciplinary collaborations span geospatial engineering, AI ethics, and healthcare technology, reflecting a commitment to impactful data-driven solutions for societal challenges.

Jinie Pakمشاهده پروفایل

دانشیار بالینی

• Intelligence and Security Informatics
• Social and Organizational Aspects of Information Systems
• Computer Supported Cooperative Work
• +۵ مورد دیگر

Jinie Pak serves as a Clinical Associate Professor in the Department of Computer and Information Sciences within Towson University's Fisher College of Science and Mathematics. Her academic credentials include a Ph.D. (2014) and M.S. (2007) in Information Systems from the University of Maryland Baltimore County, with current contact through office YR-468 and email jpak@towson.edu. Education: Ph.D., Information Systems, College of Engineering and Information Technology, University of Maryland Baltimore County, 2014 M.S., Information Systems, College of Engineering and Information Technology, University of Maryland Baltimore County, 2007 Her research program integrates computer science with psychological and sociological frameworks to advance deception detection in computer-mediated communication (CMC). Specializing in Intelligence and Security Informatics, she investigates both social structural behaviors (network patterns, linguistic cues) and psychophysiological indicators (gaze behavior, eye movements) through natural language processing and machine learning. Additional expertise spans Computational Linguistics, Human-Computer Interaction, and Computer Supported Cooperative Work with applications in health informatics. Publication analysis reveals two dominant research trajectories: (1) Health Informatics innovations including patient-centered personal health records, chronic disease management frameworks, and ontology-based health capability models; and (2) Security Informatics contributions to deception detection through structural network analysis and physiological indicators in online environments. Her interdisciplinary approach consistently bridges theoretical foundations with practical system implementations. Scientific Recognition: Best paper nominee at 10th Workshop on eBusiness (WeB 2011) Best poster award at 17th Americas Conference on Information Systems (AMCIS 2011) Professional service includes co-reviewing for IEEE Intelligence Security Informatics, International Journal of e-adoption, and Association of Information Systems publications. While no student advising or grant details appear in current documentation, her active conference participation and journal contributions demonstrate ongoing scholarly engagement. Current research focuses on automating structural deception detection through advanced NLP and machine learning techniques applied to diverse online communication contexts.

Emanuele Della Valleمشاهده پروفایل

دانشیار

• Big Data
• Stream Processing
• Semantic Technologies
• +۳ مورد دیگر

Emanuele Della Valle is an Associate Professor at the Department of Electronics, Information and Bioengineering of Politecnico di Milano. He holds a PhD in Computer Science from Vrije Universiteit Amsterdam and a Master's in Computer Science and Engineering from Politecnico di Milano. His research focuses on Stream Reasoning, Big Data, Semantic Technologies, and their industrial applications. He has led initiatives to establish Stream Reasoning as a recognized field, including organizing over 15 workshops/tutorials and developing the C-SPARQL Engine (downloaded 9,000+ times). He is a member of the editorial board of the Journal of Web Semantics and has authored multiple books and over 70 publications. Education: PhD in Computer Science, Vrije Universiteit Amsterdam Master in Computer Science and Engineering, Politecnico di Milano Research Interests: Big Data and Stream Processing Semantic Web and Knowledge Representation Data Science and Real-Time Analytics Applications in IoT, Telecom, and Social Media Awards include the CAiSE’19 Best Paper Award, IBM Faculty Awards (2006, 2013), and multiple best paper recognitions. His work has been applied with industry partners like Telecom Italia, IBM, and Siemens. Teaching focuses on Big Data, Data Science, and AI, with courses such as 'Streaming Data Analytics' and 'Artificial Intelligence and Big Data Science'. He has coordinated EU projects (FP7 Service Finder, EIT Digital activities) and founded Quantia Consulting and motus ml.

• Health Informatics
• Healthcare Cybersecurity
• Medical Terminologies
• +۵ مورد دیگر

Stefano Bonacina is an Assistant Senior Lecturer at Karolinska Institutet's Department of Learning, Informatics, Management and Ethics (LIME). He holds a Master of Science in Electronic Engineering (2000) and a Ph.D. in Bioengineering (2004) from Politecnico di Milano, Italy. His research focuses on Health Informatics, emphasizing medical terminologies, health IT standards, cybersecurity in healthcare, and consumer health applications. He leads Sabine Koch's Health Informatics group and teaches courses like 'Computer Applications in Health Care and Biomedicine'. Research interests include harmonizing health data exchange, evaluating medical app quality, and mitigating cybersecurity risks through training and standards. Recent work explores telemedicine assessment tools, data privacy in FemTech apps, and ontology development for traditional medicine integration. Published articles address pandemic impacts on medical education, diabetes app development, and IoT-driven healthcare solutions. His work bridges theoretical frameworks with practical applications, advocating for patient-centered technologies and robust cybersecurity practices.