جست‌وجوی استاد و پژوهشگر

Manuel Jesús Gómez Moratillaمشاهده پروفایل

پژوهشگر

• Data Mining
• Educational Technology
• Game-Based Assessment
• +۳ مورد دیگر

Manuel Jesús Gómez Moratilla is a Ph.D. candidate in Computer Science at the University of Murcia, Spain, and a member of the CyberDataLab research group. His work bridges data mining, educational technology, and game-based assessment, with a focus on natural language processing and learning analytics. Education: Ph.D. in Computer Science (2021–present), University of Murcia M.Sc. in Big Data (2021), University of Murcia B.Sc. in Computer Science (2020), University of Murcia Research Interests: Data Mining Educational Technology Game-Based Assessment Natural Language Processing Learning Analytics His recent projects include DEFENDER (cybersecurity in IoT/5G labs), CDL-TALENTUM (cybersecurity and data science training), REASSESS (interoperable game-based assessment), and SEMANTIC (cloud-based assessment services). Collaborations span MIT's Scheller Teacher Education Program and Fundación Séneca. Publications highlight trends in game-based assessment, MOOC review analysis, and learning analytics for educational games. His work emphasizes scalable solutions and data-driven insights for enhancing educational experiences.

• Artificial Intelligence
• Healthcare Informatics
• Data Science
• +۵ مورد دیگر

Wajahat Ali Khan is an Associate Professor in Artificial Intelligence at the University of Derby's College of Science and Engineering. His research focuses on AI-driven solutions for healthcare informatics, cybersecurity, and data integration. He leads interdisciplinary projects involving knowledge graphs, semantic web technologies, and clinical decision support systems. Research interests include applying machine learning to healthcare challenges such as disease subtyping, health data interoperability, and personalized medicine. He also explores cybersecurity in network systems and SDN environments. Key contributions include platforms like the Ubiquitous Health Profile (UHPr) for health data interoperability and the Intelligent Medical Platform for dialogue-based healthcare services. His publications span topics from anti-DDoS models to sentiment analysis for depression detection. Collaborations with institutions like Sungkyunkwan University (South Korea) highlight global impact. Khan’s work emphasizes bridging semantic gaps in healthcare systems through adaptive mediation frameworks and data-driven knowledge acquisition methods.

Larisa Soldatovaمشاهده پروفایل

پژوهشگر

• Artificial Intelligence
• Discovery Science
• Knowledge Representation
• +۳ مورد دیگر

Larisa Soldatova is Reader in Data Science at Goldsmiths, University of London, where she directs the online Masters in Data Science program. An internationally recognized expert in AI, she leads the EPSRC-funded ACTION project developing AI systems for personalized cancer treatment recommendations in partnership with University of Manchester. Her research spans discovery science, knowledge representation, and semantic technologies. She contributes to the Robot Scientists project investigating automation of scientific discovery processes and human-robot collaboration. Soldatova develops semantic standards including Machine Learning Schema, Robotics Task Ontology Standard, and Laboratory Protocols EXACT. Her recent publications focus on AI-driven hypothesis generation in cancer research, ontology engineering for food processing, and closed-loop AI systems for fundamental science. She applies machine learning and semantic technologies to challenges in biomedicine and scientific knowledge representation.

• Digital Health
• Artificial Intelligence
• Generative AI (GenAI)
• +۸ مورد دیگر

Associate Professor Georg Grossmann is affiliated with the School of IT and Mathematical Sciences at the University of South Australia (UniSA), within the Advanced Computing Research Centre. He holds roles as the Research Degree Coordinator for Maths & Stats and Systems Engineering at UniSA STEM, and co-directs the Digital Health Innovation and Clinical Informatics (DHICI) Lab. His research focuses on Digital Health, Artificial Intelligence (AI), Industry 4.0, and interoperability solutions for complex systems. He is also a member of the AI & Software Engineering Lab in the Industrial AI Research Centre, addressing challenges in data integration and business process modeling. Research Interests: Georg's work spans process and data interoperability, AI-driven systems, generative AI (GenAI), and digital transformation. He explores applications in healthcare (e.g., clinical decision support systems), industrial IoT (IIoT), and cultural heritage management. His methodologies include multi-level modeling, knowledge graphs, and semantic frameworks to enhance system interoperability and decision-making. Labs & Collaborations: He leads the DHICI Lab and collaborates with institutions like MIMOSA, Practera, and BAE Systems. His projects include frameworks for predictive maintenance in Industry 4.0, adaptive clinical decision systems, and NLP-based artifact management in museums. He has secured grants from the South Australian Premier’s Research and Industry Fund and the Australian Government’s Department of Industry. Teaching & Supervision: As a Research Degree Supervisor, he guides students in areas like enterprise modeling, software engineering, and AI applications. He also contributes to courses on Business Process Management and Software & Data Modeling.

Arne Skouمشاهده پروفایل

دانشیار

• Model Checking
• Real-Time Systems
• Energy Engineering
• +۷ مورد دیگر

Arne Skou is an Associate Professor in the Department of Computer Science at Aalborg University, affiliated with the Technical Faculty of IT and Design and the CISS - Center for Embedded Software Systems. His research focuses on model checking, real-time systems, energy engineering, and smart home automation. He has contributed to projects like domOS (operating systems for smart buildings), FEVER (virtual power plants), and FED (Flexible Energy Denmark). Skou’s work integrates formal methods with practical applications in embedded systems and energy flexibility. He has authored over 79 publications, including studies on machine learning for thermal dynamics and probabilistic energy forecasting in heat pumps. His research emphasizes interoperability frameworks like Arrowhead and schedulability analysis using tools such as UPPAAL. Skou has been involved in EU-funded initiatives addressing smart grids, energy optimization, and industrial IoT. His projects span from 1996 to 2023, with a focus on real-time systems, component contracts, and energy management. His contributions include middleware solutions for home automation (HomePort) and compositional analysis of hierarchical scheduling systems. Skou’s publications reflect a blend of theoretical computer science and applied engineering, particularly in embedded systems and energy systems. Key Projects: domOS, FEVER, FED, MANTIS (cyber-physical maintenance systems) Labs/Teams: CISS - Center for Embedded Software Systems Tools Developed: UPPAAL-based frameworks for schedulability analysis and model checking

Yannis Tzitzikasمشاهده پروفایل

استاد

• Semantic Data Integration
• Exploratory Search
• Knowledge Graphs
• +۲ مورد دیگر

Yannis Tzitzikas is Professor of Information Systems at the University of Crete and Affiliated Researcher at FORTH-ICS. He directs the Centre for Cultural Informatics and Semantic Access & Retrieval group, developing frameworks for large-scale semantic integration. His research enables exploratory analytics over RDF knowledge graphs, with applications in marine science and cultural heritage. Recent projects include BlueCloud (EU H2020) for marine data services and 4CH for cultural heritage preservation. Awarded six best paper/reviewer awards including ISWC'2022 and MTSR'2020. He coordinates the University of Crete's Open Data initiative and serves on ERCIM's executive committee.

Arjmand Naveedمشاهده پروفایل

پژوهشگر

• Data Science
• Artificial Intelligence
• Health Informatics
• +۳ مورد دیگر

Dr. Arjmand Naveed is a Post Doc-Researcher in the Faculty of Engineering and Informatics at the University of Bradford. She holds a PhD in Computer Sciences with a focus on addressing semantic interoperability and text annotation concerns in Electronic Health Records (EHR) using Word Embedding, Ontology, and Analogy. Her research emphasizes Data Science, Artificial Intelligence, and improving Human Health, with a particular focus on semantic interoperability, EHR systems, and cybersecurity in healthcare. Her academic journey includes over 7 years as a Computer and Mathematics Lecturer, with a strong commitment to student development and process optimization. She has presented research at conferences such as the Annual Innovative Engineering and Research Conference (AIERC 2019), earning a 3rd position in oral presentations. Her work spans interdisciplinary applications, including energy-efficient healthcare monitoring systems using 5G, semantic RESTful API development for healthcare interoperability, and geophysical studies. She is affiliated with the Bradford-Renduchintala Centre for Space AI and contributes to advancing AI-driven solutions in health informatics and digital technologies.

• Systems Engineering
• Product Development
• Conceptual System Design
• +۵ مورد دیگر

Dinesh Verma is a Professor and Executive Director of the Systems Engineering Research Center (SERC) at Stevens Institute of Technology. He previously served as Founding Dean of the School of Systems and Enterprises (2007–2017). His roles include adjunct positions at Georgetown University (Visiting Professor, Department of Biochemistry), and advisory roles at institutions like the Embedded Systems Institute (Eindhoven, Netherlands) and the Defense Science Board (U.S.). Education and Professional Background: Verma’s career spans academia and industry, including roles at Lockheed Martin, Virginia Tech (Systems Engineering Design Laboratory), and as an Invited Lecturer at the University of Exeter (1995–2000). Research Interests: Focus on systems engineering fundamentals, including conceptual design evaluation, system architecture, life cycle costing, and supportability engineering. Recent work emphasizes digital engineering integration, ontology-based model interoperability, and systems security for modular open systems. Grants & Patents: Directed over $175M in academic/research programs. Holds patents in life-cycle costing, fuzzy logic for design evaluation, and collaborative engineering tools. Awards: Honorary Doctorate (Linnaeus University, 2007) and Honorary Master’s (Stevens, 2008). INCOSE Fellow (International Council on Systems Engineering). Key Contributions: Authored 100+ publications, including textbooks on Maintainability, Economic Decision Analysis, and Space Systems Engineering. Co-founded the Defense Science Board’s Digital Engineering initiative and chairs DoD/MITRE mission engineering collaborations.

• Legal Aspects of Data Science and AI
• Privacy and Data Protection
• Digital Forensics
• +۵ مورد دیگر

Dr. Carlisle George is an Associate Professor in Computing Science at Middlesex University's Faculty of Science and Technology, specializing in the intersection of technology and law. With dual expertise as a computer scientist and barrister (called to Lincoln's Inn and the Eastern Caribbean Supreme Court), he chairs the Computer Science Research Ethics Committee and leads the ALERT research group focused on Aspects of Law and Ethics Related to Technology. University of London (Goldsmiths) - PhD in Computer Science London School of Economics - LLM in Information Technology & Communications Law Middlesex University - MBA His research explores Legal and Ethical Dimensions of Data Science and AI , with emphasis on Privacy, Data Protection, Intellectual Property Rights , and Regulatory Challenges in Digital Environments . Recent work addresses explainability requirements under the EU AI Act and forensic readiness frameworks for medical networks. Scientific contributions include Fellow of the Higher Education Academy (FHEA) and Chartered Manager (CMgr MCMI) recognition. He supervises PhD students in areas like mHealth privacy frameworks , AI explainability , and Digital Forensics readiness while serving on editorial boards and organizing international workshops on Health IT ethics.

• 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
• 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.

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.

Yuhong Yanمشاهده پروفایل

دانشیار

• Service Computing
• Service-Oriented Architecture
• Cloud Computing
• +۴ مورد دیگر

Yuhong Yan is an Associate Professor at Concordia University's Department of Computer Science and Software Engineering. Her research focuses on Service Computing, emphasizing flexibility and interoperability in software systems. She advises graduate students in master's and PhD programs, though currently not recruiting new students. Her work includes service-oriented architecture, cloud computing, and workflow management, with notable contributions to service composition optimization and QoS-aware systems. Her research has been recognized through awards such as the Best Student Paper at CLOSER 2017 and SCC 2014, and her paper on service-oriented network virtualization was the most cited in CSCWD (2001-2011). She has led and participated in multiple IEEE conferences, including serving as Chair for the IEEE Cloud Cup in 2013 and 2014. Her work often involves collaborations with industry, funded by NSERC Engage and MITACS grants. Yuhong emphasizes practical industrial experience and maintains a lab focused on adaptive service composition, failure recovery, and graph-based algorithms. She has authored or co-authored over 50 peer-reviewed articles and serves on program committees for leading conferences in services computing.