جستجوی استاد راهنمای دانشگاهی

Margaret Kippمشاهده پروفایل

دانشیار

• Social Tagging
• Metadata
• Semantic Web
• +۳ مورد دیگر

Margaret E. I. Kipp is an Associate Professor in the School of Information Studies at the University of Wisconsin-Milwaukee. She holds a PhD and MLIS from the University of Western Ontario, and a BSc in Computer Science from the University of Ottawa. Her research focuses on social tagging, metadata, semantic web technologies, and information organization systems. Education: PhD, 2009: Library and Information Science, University of Western Ontario MLIS, 2002: University of Western Ontario BSc, 1999: Computer Science, University of Ottawa Research interests include: Metadata design and standards Semantic web applications Social tagging practices Information retrieval systems Classification systems Her recent work explores metadata schemes for cultural heritage materials like Chinese rubbings data, linked data models for libraries, and user behavior in social tagging platforms. She has published widely on topics such as collaborative tagging effectiveness in medical collections and mappings between MARC standards and linked data formats. Dr. Kipp is affiliated with the Information Organization Research Group and teaches courses in information organization, metadata, and database management.

• Human Factors
• Human-Computer Interaction
• E-Health
• +۶ مورد دیگر

John Paulin Hansen is a Professor at the Technical University of Denmark (DTU), affiliated with the Department of Technology, Management and Economics under the Technology and Business Studies school. His research focuses on human factors, human-computer interaction, and assistive technologies, particularly in gaze interaction and rehabilitation robotics. He holds a Ph.D. from Aarhus University (1992) and has led research groups at institutions like Risø National Laboratory and the IT University of Copenhagen. His work emphasizes improving quality of life for individuals with motor disabilities through innovations like The Eye Tribe and GazeIT lab initiatives. Research Interests include: Eye-tracking technology and gaze interaction systems Exoskeletons and AR interfaces for stroke rehabilitation Human digital twins in healthcare Telepresence robotics accessibility Brain-computer interfaces (BCI) Key Achievements: Founded EU’s COGAIN network, co-created The Eye Tribe startup (acquired by Facebook/Oculus), and leads the GazeIT lab supported by the Bevica Foundation. His projects address sustainable development goals through inclusive technology solutions. Awards: Vanførefondens Forskerpris 2018 Multiple Best Paper Awards (2019–2022) Reviewers' Favourite Best Paper Award at DESIGN2022 Advising & Grants: Mentor to startups like The Eye Tribe and Orbital (acquired by GN Audio). Current projects include EU Horizon 2020 Rehyb initiative for AR exoskeleton interfaces and Human Digital Twin applications in rehabilitation. Labs/Teams: GazeIT lab pioneers assistive tech innovations, collaborating with LEGO and Serious Games Interactive. Active in developing inclusive design pedagogy and digital twin methodologies for healthcare.

Martin Drewsمشاهده پروفایل

استاد

• Climate Change
• Climate Economics
• Risk Management
• +۶ مورد دیگر

Martin Drews is a Professor at the Department of Technology, Management and Economics at the Technical University of Denmark (DTU). His research focuses on climate economics, risk management, and energy policy with an emphasis on adaptation to climate change. He is actively involved in projects addressing compound climate extremes, flood risk assessment, and decision-making frameworks under uncertainty. Key research areas include reinforcement learning applications in climate adaptation, coastal flood modeling, and interdisciplinary approaches to disaster resilience. He co-leads initiatives like the Horizon-RIA ACCRUE project and supervises multiple PhD students investigating climate policy, multi-hazard risk assessment, and compound event dynamics. Recent studies emphasize the intersection of machine learning with climate adaptation, statistical methods for extreme event analysis, and the water-energy nexus. His work contributes to UN Sustainable Development Goals related to climate action, resilient infrastructure, and sustainable cities. Dr. Drews collaborates internationally on projects such as compound event modeling in Denmark and Baltic Sea region studies. He has authored over 99 publications, with recent work highlighted in journals like Natural Hazards and Earth System Sciences and Bulletin of the American Meteorological Society .

Christine Elsikمشاهده پروفایل

استاد

• Computational Genomics
• Bioinformatics
• Genome Annotation
• +۵ مورد دیگر

Christine Elsik is a Professor at the University of Missouri, affiliated with the Divisions of Animal Sciences and Plant Science & Technology within the College of Agriculture, Food and Natural Resources (CAFNR). Her research focuses on computational genomics and bioinformatics, with expertise in genome annotation and database development for livestock, aquaculture, Hymenopteran insects, and maize. Key projects include the Bovine Genome Database, Hymenoptera Genome Database, and AquaMine. Dr. Elsik holds a Ph.D. in Genetics from Texas A&M University. She teaches AN_SCI/PLNT_SCI 8430: Introduction to Bioinformatics Programming . Her work is supported by grants from the NSF, USDA, NIH, and the European Union, among others. Research highlights include telomere-to-telomere genome assemblies of livestock, FAANG data ecosystems, and tools like BovineMine and HymenopteraMine. The Elsik Lab collaborates globally to advance agricultural genomics, emphasizing data integration and functional annotation. Her contributions span genomic resources for cattle, honey bees, maize, and aquatic species, with a focus on translating genomic insights into practical applications for agriculture and animal health.

Bogdan Ghitaمشاهده پروفایل

دانشیار

• Cybersecurity
• Network Security
• IoT Security
• +۸ مورد دیگر

Dr. Bogdan Ghita is an Associate Professor and Associate Dean International in the Faculty of Science and Engineering at the University of Plymouth. His primary affiliation is with the School of Engineering, Computing and Mathematics. He leads network research within the Centre for Security, Communications, and Network Research. His research focuses on cybersecurity, IoT security, machine learning applications in networking, blockchain technology, network function virtualization, and disaster communication systems. He has supervised over 20 PhD students on topics ranging from smart grid optimization to network intrusion detection. Teaching responsibilities include undergraduate courses like Cyber Security and Networks, Ethical Hacking, and Network Monitoring, as well as postgraduate modules in Ethical Hacking. He actively contributes to curriculum development in online education and cybersecurity pedagogy. Key research themes include: Network slicing and NFV in disaster recovery systems Cybersecurity for IoT and industrial systems Machine learning for network anomaly detection Blockchain-based trust management for M2M services Forensic analysis of digital evidence His recent work explores AI-driven personalized education frameworks and quantum-resistant cryptographic schemes. He has published extensively in top-tier conferences/journals with a focus on applying computational methods to solve real-world cybersecurity challenges.

Janelle Jenstadمشاهده پروفایل

استاد

• Shakespeare
• Renaissance drama
• London studies
• +۳ مورد دیگر

Dr. Janelle Jenstad is a Professor in the Department of English at the University of Victoria, affiliated with the Faculty of Humanities. Her research focuses on Shakespeare, Renaissance drama, London studies, digital humanities, and early modern print culture. She leads major projects such as The Map of Early Modern London (MoEML), a SSHRC-funded digital atlas, and Linked Early Modern Drama Online (LEMDO), an open-access platform for early modern plays. Jenstad has held significant editorial roles, including General Editor of MoEML and Coordinating Editor of the Internet Shakespeare Editions (ISE). Her work emphasizes interdisciplinary collaboration, digital preservation, and pedagogical innovation. Education: BA (Victoria), MA and PhD (Queen's University). She has taught at institutions including Queen's University and the Stratford Festival's Summer Academy. Her grants include SSHRC Insight Grants and a Bibliographical Society Major Fellowship. Jenstad's research spans digital encoding, geospatial analysis, and the intersection of technology with early modern studies. Key achievements include the release of MoEML v.7.0 (2022) and the LEMDO anthology series. She supervises teams of researchers and encoders, fostering global pedagogical partnerships. Jenstad’s awards highlight her contributions to digital scholarship and humanities research sustainability. She actively engages in public lectures, exhibitions, and digital humanities advocacy. Her academic advising focuses on digital editing, textual studies, and early modern performance. Jenstad’s work bridges traditional humanities research with cutting-edge digital methods, emphasizing accessibility and interdisciplinary collaboration.

Iacopo Colonnelliمشاهده پروفایل

استادیار

• Scientific Workflow Systems
• High-Performance Computing
• Cloud Computing
• +۶ مورد دیگر

Iacopo Colonnelli is an Assistant Professor (RTDA) at the University of Turin's Computer Science Department and a member of the Alpha Research Group (Parallel Computing) and CINI HPC Key Technologies and Tools lab. He has established himself as a leading researcher in scientific workflow systems, bridging cloud computing and high-performance computing environments. His research focuses on workflow modeling and management in heterogeneous distributed architectures, with significant contributions through open-source tools including StreamFlow (a container-native workflow management system), Jupyter Workflow, and CAPIO (middleware for I/O streaming). These tools enable hybrid workflows execution on cloud-HPC infrastructures and have gained recognition through multiple European projects and initiatives. Colonnelli's publication record shows consistent output in top venues related to parallel and distributed computing, with recent work focusing on federated learning, confidential computing, and workflow standardization. His most recent publications (2024-2026) demonstrate strong engagement with cutting-edge challenges in cross-facility federated learning, workflow representation languages, and performance evaluation of confidential computing for bioinformatics applications. Scientific Awards: ITADATA 2023 Best PhD Thesis Award for 'Workflow models for heterogeneous distributed systems' StreamFlow selected as one of the three exploitable results of the EUPEX European project (2023) StreamFlow selected as an exploring technology by the EC Innovation Radar initiative (2023) 'Distributed Workflows With Jupyter' selected as Fall 2022 Editor's Choice by Future Generation Computer Systems journal HPC-Europa3 grant recipient for Barcelona Supercomputing Center visit (2019) HiPEAC grant recipient for ACACES 2019 Summer School (2019) As an active contributor to research infrastructure, Colonnelli serves as a member of the CWL Technical Team and founder of the CWL4HPC Working Group. He has organized multiple international conferences including PDP 2025 as program chair and CWLCon 2024. His service extends to numerous program committees for major HPC conferences and journals, demonstrating his standing in the international research community. Colonnelli leads significant contributions to multiple European research projects including Space Center of Excellence, European Pilot, EUPEX, TEXTAROSSA, ACROSS, DeepHealth, and HPC4AI, focusing on advancing HPC and AI technologies for scientific applications.

Trevor Cickovskiمشاهده پروفایل

استادیار

• Bioinformatics
• Microbiome Analysis
• GPU Computing
• +۶ مورد دیگر

Trevor Cickovski is an Assistant Professor at Florida International University's Knight Foundation School of Computing and Information Sciences, with a focus on bioinformatics and computational biology. Holding Graduate Faculty status, he specializes in microbiome analysis, GPU computing, network analysis, and Unix systems. His academic journey began with a Ph.D. in Computer Science and Engineering from the University of Notre Dame (2008). Current roles: Associate Director, Assistant Teaching Professor Research affiliations: Bioinformatics Research Group (BioRG), ACM, IEEE Dr. Cickovski's research spans microbiome analysis, software engineering, and GPU-accelerated computing. His work explores the microbiome's role in neuropsychiatric disorders (ADHD), genetic conditions (A1AD), respiratory diseases (COPD), and environmental phenomena (red tides) through multi-omics integration. His publications in Journal of Medical Microbiology , Bioinformatics , and IEEE/ACM TCBB reflect strengths in plugin-based software frameworks (PluMA), network analysis, and computational pipeline optimization. Awards include multiple teaching excellence honors and industry funding from NVIDIA. 2020 Graduate Faculty Status 2019 FIU CAT Fellow 2019 FIU Faculty Teaching Award 2017 Teaching Excellence Award 2014 Promotion to Associate Professor As lead developer of PluMA, he enables cross-language plugin development for bioinformatics workflows. Funded by NIJ and NSF, his projects apply machine learning to epigenetics and computational approaches to vaccine discovery.

Mark Morganمشاهده پروفایل

استاد

• Patient Safety
• Primary Care Data
• Shared Decision Making
• +۸ مورد دیگر

Professor Mark Morgan is a distinguished academic and clinician at Bond University's Faculty of Health Sciences & Medicine, where he serves as Associate Dean for External Engagement and Professor in the Department of General Practice. With extensive experience in both clinical practice and research, he has established himself as a leader in primary care research and policy development in Australia. Professor at Bond University, Faculty of Health Sciences & Medicine Associate Dean for External Engagement Chair of the RACGP Expert Committee for Quality Care Active researcher with numerous recent publications Professor Morgan's research interests span multiple critical areas in primary care including patient safety, management of patients with multiple long-term conditions, shared decision making, and deprescribing. His work bridges clinical practice and health policy, with significant contributions to understanding how healthcare systems can deliver better outcomes for patients. His research often focuses on translating evidence into practice improvements within general practice settings. His recent publications demonstrate expertise across diverse areas including antimicrobial stewardship, medication safety, end-of-life care in general practice, and the management of multimorbidity. The research output shows a strong trajectory with increasing publication activity in recent years, particularly in high-impact areas of primary care. Professor Morgan actively contributes to national health policy through his roles on the Health Care Homes Implementation Advisory Group and the Medicare Benefits Review General Practice and Primary Care Clinical Committee. His policy work focuses on improving healthcare systems, digital health record safety, and medical benefits scheduling. As an educator, Professor Morgan teaches within Bond University's Medical Program and holds a Graduate Certificate in Clinical Education from Flinders University. His educational expertise complements his clinical and research activities, creating a comprehensive academic profile that strengthens medical education at Bond University.

• Geographic Information Science and Technology (GIScience)
• Open Source Software for Geospatial Applications (FOSS4G)
• Natural Resources Management
• +۲ مورد دیگر

Rafael Moreno is an Associate Professor in the Department of Geography & Environmental Sciences at the University of Colorado Denver. His expertise spans Geographic Information Science and Technology (GIScience), Open Source Software for Geospatial Applications (FOSS4G), Natural Resources Management, and Sustainable Development, with a focus on Latin America. B.S. in Forestry from Universidad Autónoma Chapingo (1982) M.S. and Ph.D. in Natural Resources Management from Colorado State University (1987, 1992) His research focuses on forest fragmentation analysis, anthropogenic pressure on ecosystems, and Decision Support Systems for sustainable forest management. He pioneered the use of FOSS4G in web-based spatial information systems, emphasizing open standards and cross-border collaboration. Recent publications highlight trends in forest conservation, land use/cover mapping, and FOSS4G applications. He has advised students on topics including forest fragmentation in Mexico and geospatial open-source solutions. Scientific awards include a Post Doctoral Fellowship with the Organization of American States—SEMARNAP (1995) He previously served as Director of the National Center for Forest Ecosystems Conservation (Mexico) and led the Master of Science in GIScience program at the University of Denver.

Varadraj Gurupurمشاهده پروفایل

دانشیار

• Health Informatics
• Decision Support Systems
• Data Semantics
• +۳ مورد دیگر

Varadraj Gurupur is an Associate Professor at the University of Central Florida (UCF) in the School of Global Health Management and Informatics. He holds a Ph.D. and has over 15 years of teaching experience across two countries. His research focuses on software engineering decision support systems for healthcare and education, with a particular emphasis on health informatics, decision support systems, and data semantics. He has received numerous awards, including the AHIMA Triumph Award for Innovation (2021) and the Joseph M. Biedenbach Outstanding Engineering Educator Award (2023). Dr. Gurupur has authored over 100 peer-reviewed publications, including journal articles, conference papers, and book chapters. He has secured research grants and holds three patents in health information management. His work addresses challenges in electronic health records (EHRs), telehealth, and data quality, with applications in diabetes care, dental imaging, and frailty assessment in aging populations. He is active in IEEE, having chaired the Workgroup on Data Quality for EHRs and served as Chair of the IEEE Orlando Section (2021–2023). Key contributions include developing AI-driven decision support systems, improving EHR data completeness through neural network models, and advancing telemedicine frameworks. His interdisciplinary research bridges clinical needs with technological solutions, emphasizing global health equity and patient-centric care.

Djoko Sigit Sayogoمشاهده پروفایل

مدرس ارشد

• Public Policy
• Information Technology
• Economic Development
• +۶ مورد دیگر

Djoko Sigit Sayogo is a Senior Lecturer in the Department of Economics and Business at the University of Muhammadiyah at Malang (UMM), Indonesia. He also served as Director at the Center for Economics, Business & Entrepreneurship Development at UMM. His academic career includes a Postdoctoral Associate role at the Center for Technology in Government (CTG) from 2015, where he contributed to the I-Choose project leveraging Semantic Web technologies. Educations: Ph.D., Public Administration, 2013, Rockefeller College, University at Albany M.Acc, Accounting, 2003, The University of Melbourne, Australia B.S., Accounting, 1997, University of Muhammadiyah at Malang Research Interests: Focus on the intersection of information technology, public policy, and economic development. Key areas include open data initiatives, smart disclosure policies, e-financial reporting, and interagency information sharing. His work emphasizes understanding motivations for private sector data sharing and consumer trust in digital platforms like I-Choose. Awards & Recognition: Recipient of Best Management/ Policy Paper (2013) for 'Understanding Smart Data Disclosure Policy Success: The Case of Green Button' Nominated for Best Paper Award (2013) for 'Open Budgets and Open Government: Beyond Disclosure' Leadership & Contributions: Managed undergraduate accounting and computer laboratories at UMM (2006–2008), organized Internet training programs, and actively contributes to digital government conferences. His research explores socio-political determinants of open budgets and cross-boundary information integration challenges. Labs/Teams: Core contributor to the CTG team developing the I-Choose platform, which uses OWL ontology for global information systems. Collaborations include work on semantic web architectures to support ethical consumer choices.

• Healthcare Planning
• Supply Chain Management
• Operations Management
• +۵ مورد دیگر

Teresa Cardoso Grilo is an Assistant Professor and Pro-Rector at Iscte, affiliated with the Marketing, Operations and General Management Department. She serves as an Integrated Researcher at BRU-Iscte - Business Research Unit (Management Group). Her academic background includes a PhD in Engineering and Management (2009-2013) and an Integrated Master's degree in Biomedical Engineering (2004-2009), both from the University of Lisbon's Higher Technical Institute. Her research focuses on: Healthcare systems planning and long-term care optimization Supply chain management using mathematical modeling Operations research with multi-criteria decision-making Stochastic optimization for resource allocation Lean management implementation Healthcare workforce planning methodologies Publications (2011-2024) demonstrate consistent focus on healthcare operations, supply chain optimization, and sustainable systems. Recent work shows increased emphasis on digital transformation in healthcare, electric fleet planning, and integrating Six Sigma methodologies. Her research employs advanced techniques including stochastic programming, location-allocation modeling, and multi-objective optimization to address complex operational challenges in healthcare and logistics. As Pro-Rector, she has led institutional initiatives including scholarship programs for PhD students, demonstrating commitment to academic development. She maintains active research collaborations across Europe and participates regularly in operations research and healthcare management conferences.

• Multi-Agent Systems
• Hypermedia Systems
• Web of Things
• +۳ مورد دیگر

Andrei Ciortea is an Assistant Professor in Interaction and Communication based Systems at the University of St. Gallen, affiliated with the ICS-HSG (Interaction and Communication Systems) department. His research focuses on Internet-scale multi-agent systems, hypermedia systems, the Web of Things, and socio-technical systems. He explores topics such as autonomous agents, hypermedia environments, and the integration of digital twins in industrial automation. Key research interests include the design of adaptive coordination mechanisms, affordance-driven interaction models, and semantic hypermedia search. His work emphasizes practical applications in manufacturing, energy systems, and sustainable design. Notable contributions include the HyperBrain project leveraging large language models for human-inspired guidance and the Solid-based Pody framework for agent embodiment in web systems. He received the Best Paper Award at the 6th International Conference on the Internet of Things (IoT 2016). His publications span topics like digital twin ecosystems, circular design strategies, and governance frameworks for autonomous agents on the web. Current research trends highlight the interplay between agent autonomy, hypermedia architectures, and socio-technical interactions in smart environments. Dr. Ciortea collaborates on interdisciplinary projects involving AI ethics, transparent machine intelligence, and real-time collaboration in linked data systems. His work bridges theoretical agent models with real-world industrial applications, emphasizing scalable, interoperable solutions for distributed systems.

Nathan C. Hulseمشاهده پروفایل

استاد مدعو

• Biomedical Informatics
• Clinical Decision Support Systems
• Knowledge Management
• +۶ مورد دیگر

Nathan C. Hulse, PhD, is an Adjunct Professor at the University of Utah's Department of Biomedical Informatics and Director of Clinical Knowledge Management at Intermountain Healthcare. He specializes in biomedical informatics, focusing on clinical decision support systems, family health history tools, and health information standards development. Education: PhD in Medical Informatics (University of Utah), BS in Computer Science (University of Utah) His research explores: Knowledge management strategies for EHR systems Consumer-facing health informatics tools for risk assessment Integration of genetic data into clinical workflows Standards-based interoperability (HL7, FHIR) Personalized health education delivery Analytics for clinical guideline adherence His publications emphasize: Electronic health record optimization Infobutton systems for point-of-care education XML-based clinical knowledge modeling Peer feedback mechanisms in medical knowledge bases Federated data sharing environments Visual analytics for clinical practice guidelines