Find Academic Supervisors

• Human-Computer Interaction
• Medical Informatics
• Digital Health
• +4 more

Rebecca Randell is Professor of Digital Innovations in Healthcare at the University of Bradford . Previously, she held roles at the University of Leeds (Senior Translational Research Fellow, Lecturer, Associate Professor), University of York , and City University London . She founded the Health Technologies for Quality & Safety research group and directs the Centre for Digital Innovations in Health & Social Care . Education: BSc in Software Engineering (Durham University), PhD in Human-Computer Interaction (Glasgow University, 2004) Her research focuses on the social aspects of healthcare IT design , including medical handover practices, histopathology diagnostics, and multidisciplinary team collaboration. She examines how nurses customize ICU equipment, use decision support systems, and how novel hardware affects GP-patient communication. Her work emphasizes qualitative methods and realist evaluation , with applications in virtual reality for pathology teaching and AI adoption in healthcare. Recent publications highlight AI workload impacts in radiology, EPR systems in ICU during pandemics, and digital tools for cancer referrals. She leads NIHR-funded projects on robotic surgery, clinical dashboards, and falls prevention systems. Scientific Awards: 1 unspecified award She has advised on healthcare fieldwork ethics, clinical audit data use, and strategic workforce planning. Her lab collaborates with the National Pathology Imaging Cooperative and the NIHR Yorkshire & Humber Patient Safety Research Collaboration .

• Legal Aspects of Data Science and AI
• Privacy and Data Protection
• Digital Forensics
• +5 more

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.

Peter LawrenceView profile

Academic

• Evacuation Modeling
• Software Engineering
• Fire Safety
• +1 more

Dr. Peter Lawrence is a Reader at the University of Greenwich's School of Computing and Mathematical Sciences, Faculty of Engineering and Science. He leads the development of the Exodus software suite, which is internationally recognized for applications in high-profile projects like the Millennium Dome, Sydney Olympic Stadium, and Airbus A380. His work in evacuation modeling has been honored with the British Computer Society IT Award and the Queen's Anniversary Prize. His research focuses on computational models of human behavior during evacuations, with expertise in large-scale simulation, fire safety engineering, and emergency response protocols. Lawrence investigates factors influencing evacuation efficiency, including passenger behavior in aircraft, urban crowd dynamics, and multi-hazard scenarios. Publications demonstrate consistent focus on enhancing evacuation methodologies through advanced simulation techniques. Recent work explores integration with Building Information Modeling (BIM), notification systems, environmental factors like air quality, and computational optimization for large-scale scenarios. Honors and Awards: British Computer Society IT Award Queen's Anniversary Prize for Higher Education He leads the Exodus development team, collaborating with international agencies including the UK Ministry of Defence, which endorses maritimeEXODUS for warship safety assessments.

Lars Ailo BongoView profile

Professor

• Operating Systems
• Concurrent Programming
• Data-intensive Computing
• +5 more

Lars Ailo Bongo is a Professor at the Department of Computer Science, UiT The Arctic University of Norway. His research interests span operating systems, concurrent programming, data-intensive computing, and applications of machine learning in healthcare and bioinformatics. He has been actively involved in teaching courses such as Operating Systems, Concurrent Programming, and Algorithms, emphasizing open-access educational materials. Notably, three of his master’s students received awards for their theses: Nina Angelvik (2018), Bjørn Fjukstad (2014), and Martin Ernstsen (2013). He also advises students like Johan Ravn, whose master’s project led to a startup. Bongo’s work includes developing scalable bioinformatics pipelines (e.g., NeLS infrastructure), optimizing genomics workflows, and advancing tools for medical image analysis. He pioneered open-access course repositories on GitHub and contributed to visualization frameworks like GeneNet VR. His research bridges computer science with healthcare, focusing on tumor infiltration lymphocyte analysis, AI-driven diagnostics, and ethical AI applications in mental health. He has held roles as a postdoc at Princeton and TA at the University of Tromsø. His scientific contributions span over 50 peer-reviewed articles, covering topics from parallel computing to synthetic health data interoperability. He emphasizes reproducibility and transparency in data management, exemplified by projects like Occode for historical data transcription and MORTAL language for cross-paradigm computing. In education, Bongo advocates for accessible teaching materials and has designed courses like INF-2202 Concurrent Programming, which utilize modern tools (e.g., Go language) and GitHub repositories. His teaching philosophy integrates practical coding with theoretical foundations, fostering student innovation and open-source collaboration.

• Information Science & Library Science
• Cultural Studies
• Digital Literacy
• +7 more

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 WeberView profile

Professor

• Software Engineering
• Safety and Security Engineering
• Health Informatics
• +5 more

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
• +1 more

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
• +5 more

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
• +3 more

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
• +5 more

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
• +3 more

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
• +3 more

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) ZhangView profile

Professor

• Geographic Information Science
• Spatial Economics
• Spatial Analysis
• +4 more

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 BellaView profile

Associate Professor

• Multilingual Systems
• Semantic Interoperability
• Domain-Aware Approaches
• +7 more

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 ZamboniView profile

Researcher

• Knowledge Graphs
• Natural Language Processing
• Data Integration
• +3 more

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.