Journal of Healthcare Informatics Research - Editorial Board Research Areas of Interest
Editor-in-Chief:
Christopher C. Yang, PhD, College of Computing & Informatics, Drexel University, USA
Healthcare informatics, social media analytics, knowledge discovery, web search and mining, recommendation systems, pharmacovigilance, drug repositioning, electronic commerce, intelligence and security informatics
Advisory Board:
Larry F. Hodges, PhD, School of Computing, Clemson University, USA
Human-centered computing, simulation, 3D user interfaces, healthcare informatics, virtual reality systems for behavioral health care in both clinical and research organizations
Jianying Hu, PhD, AI for Healthcare at IBM T.J. Watson Research Center, USA
Computational biology, health informatics, knowledge discovery and data mining, learning, reasoning, statistics
Associate Editors:
Sophia Ananiadou, PhD, Manchester Institute of Biotechnology, University of Manchester, UK
Natural language processing, text mining, artificial intelligence, machine learning
Thomas Brunschwiler, PhD, IBM Research - Zurich, Switzerland
Objective symptom reporting at home, disease progression modeling and virtual coaching, supporting quality-of-life of patients at scale.
David Buckeridge, PhD, Department of Epidemiology, Biostatistics and Occupational Health, McGill University, Canada
Clinical and health informatics research, clinical epidemiology and informatics, health services and health policy, public health, biosurveillance, preventative medicine
Yi Chen, PhD, Martin Tuchman School of Management, New Jersey Institute of Technology, USA
Healthcare and Business Data Science, information extraction on clinic notes, patient risk assessment, online health forum analytics, and computational advertising
William Cheung, PhD, Hong Kong Baptist University, Hong Kong SAR
Artificial intelligence, data mining, social network analysis, health informatics, computational phenotyping
Carlo Combi, PhD, Department of Computer Science, University of Verona, Italy
Biomedical engineering, temporal information systems and multimedia databases, with an emphasis on the management of clinical information
Sally Jo Cunningham, PhD, Computing & Mathematical Sciences, The University of Waikato, New Zealand
Machine learning, digital libraries, computer education and computer applications in textiles
Prasanna Desikan, MHA, PhD, Director of BaseHealth Analytics at Genalyte, California, USA
Applying data mining and social network analysis techniques on healthcare data for improved care delivery, financial effectiveness, and population health
Julio Cesar Facelli, PhD, Professor and Vice Chair of the Department of Biomedical Informatics, Associate Director for Biomedical Informatics at the Center for Clinical and Translational Science, Adjunct Professor of Chemistry and Physics and member of the Utah Nano Science Institute, School of Medicine, University of Utah, USA
Distributed information systems for clinical and translational research; big data applications to biomedical informatics; protein structure prediction to understand variant pathogenicity; crystal structure prediction (CSP) of pharmaceutical drugs
Joydeep Ghosh, PhD, Electrical and Computing Engineering, University of Texas, Austin, USA
Decision, Information, and Communications Engineering (DICE), software engineering and systems, adaptive multi-learner systems, intelligent data analysis, data and web mining
Christophe Giraud-Carrier, PhD, Department of Computer Science, Brigham Young University, USA
Computational science and control, data and text analytics, and artificial intelligence and machine learning
John Holmes, PhD, Department of Biostatistics, Epidemiology & Informatics, Perelman School of Medicine, University of Pennsylvania, USA
Treatment regimen adherence, cancer epidemiology, cardiovascular epidemiology, infectious diseases, injury, medical informatics, patient-oriented research, pharmacoepidemiology, prevention, public health, pulmonary epidemiology; Agent-based modeling, machine learning approaches to knowledge discovery in databases, deep electronic phenotyping, interoperable information systems infrastructures for epidemiologic surveillance
William Hsu, PhD, School of Engineering, University of California, Los Angeles, USA
Radiological Sciences, Bioinformatics, and Bioengineering; data integration, predictive modeling, population health management, and imaging informatics
Edward Ip, PhD, Biostatistics and Data Science Dept., Social Sciences and Health Policy Dept., and Clinical and Translational Science Institute, Wake Forest School of Medicine, USA
Biostatistics and data science; longitudinal data, latent variable models, psychometrics and measurement of health
Thomas Karopka, PhD, BioCon Valley GmbH, Germany
Gene expression, healthcare informatics, open innovation, microarray, sequence analysis, interoperability, bioinformatics, genomics, information technology
Insup Lee, PhD, Department of Computer and Information Science, PRECISE Center, and Penn-Health Tech, University of Pennsylvania, USA
Cyber physical systems (CPS), real-time systems, embedded systems, high-confidence medical device systems, formal methods and tools, run-time verification, software certification, and trust management
Gondy Leroy, PhD, Eller College of Management, University of Arizona, USA
Natural language processing, text mining, text analytics, search engines, information retrieval and extraction and understanding by consumers, medical and biomedical informatics and human computer interaction and user studies
Jiao Li, PhD, Chinese Academy of Medical Sciences, China
Biomedical data sharing, data integration, and open data-driven knowledge discovery
Hongfang Liu, PhD, Mayo Clinic, USA
Open health natural language processing (NLP), accelerate discovery to delivery in digital medicine for clinical excellence, the right knowledge service at the point of care, acquiring and applying data-driven evidences for shared decision-making for the primary care setting
Jiming Liu, PhD, Department of Computer Science, Hong Kong Baptist University, Hong Kong
Data-driven modeling, machine learning, complex networks, web intelligence, multi-agent systems, autonomy-oriented computing, AI for social good, computational sustainability
Lei Liu, PhD, Institute of Biomedical Sciences, Fudan University, China
Biomedicine, classification, machine learning, clustering, advanced machine learning
Zhiyong Lu, PhD, Biomedical Text Mining Group, National Institute of Health, USA
Biomedical literature analysis and retrieval (BioNLP), computer-assisted biomedical data curation (biocuration), web access to consumer health information (health informatics), computational drug repositioning (translational bioinformatics)
Yuan Luo, PhD, Chief AI Officer at the Northwestern University Clinical and Translational Sciences Institute (NUCATS) and at the Institute of Augmented Intelligence in Medicine (IAIM), Feinberg School of Medicine, Northwestern University, USA
Machine learning, natural language processing, time series analysis, integrative genomic analysis and big data analytics, with a focus on medical and clinical applications
Gerrit Meixner, PhD, Managing Director of the Usability and Interaction Techonolgy Lab (UniTyLab), Heilbronn University, Germany
Human-computer interaction, user-centered design, interaction design, usability engineering and interaction technology
Jochen Meyer, PhD, Director R&D Division Health, OFFIS Institute for Information Technology, Germany
Neurotoxicity and brain activity in health and disease (such as epilepsy, autism)
Radha Nagarajan, PhD, Director, Center for Oral and Systemic Health at Marshfield Clinic Research Institute, USA
Developing novel predictive and prescriptive models in conjunction with big data ecosystems that can improve clinical, operational and business outcomes in an evidence-based and data driven manner; precision health, health service utilization, risk assessment, opioid surveillance and machine learning/artificial intelligence applications in health care
Aurelie Neveol, PhD, LIMSI, Université Paris Saclay, France
Natural language processing, BioNLP, biomedical informatics, text mining
Kenney Ng, PhD, IBM T.J. Watson Research Center, USA
Current research focus is on the development and application of data mining, machine learning, and AI techniques to analyze, model and derive actionable insights from real world health data. Prior research areas include information retrieval, speech recognition, probabilistic modeling, topic modeling, and statistical language modeling.
Giuseppe Pozzi, PhD, Dipartimento di Elettronica, Informazione e Bioingegneria, Politecnico di Milano, Italy
Process modelling, temporal databases, management of clinical information, and artificial intelligence for healthcare
Balakrishnan Prabhakaran, PhD, Department of Computer Science, University of Texas at Dallas, USA
Multimedia systems, video and health-care data analytics
Qing Qian, PhD, Institute of Medical Information, Chinese Academy of Medical Sciences, China
Praveen Rao, PhD, Health Management & Informatics and Electrical Engineering & Computer Science, University of Missouri-Columbia, USA
Big data, data science, health informatics, and cybersecurity; scalable algorithms and software systems to extract meaningful insights from massive, diverse datasets
Neil Smalheiser, MD, PhD, Department of Psychiatry, College of Medicine, University of Illinois at Chicago, USA
Neuroscience, RNA biology, synaptic plasticity, pathogenesis of neuropsychiatric disorders, medical informatics, text mining, and knowledge discovery
Gregor Stiglic, PhD, Research Institute at the Faculty of Health Sciences, University of Maribor, Slovenia
Machine learning techniques with application to healthcare; comprehensibility of predictive models, human interaction based classification, stability of feature selection algorithms, meta-learning and longitudinal rule discovery
Yin-Leng Theng, PhD, Executive Director, Ageing Research Institute for Society and Education (ARISE), Nanyang Technological University, Singapore
User-centred design, interaction design and usability engineering
Vincent Tseng, PhD, Department of Computer Science, Institute of Data Science and Engineering, National Chiao Tung University, Taiwan
Data mining, artificial intelligence, big data analytics, biomedical informatics
Shusaku Tsumoto, PhD, MD, Department of Medical Informatics, Shimane University
Rough sets, granular computing, data mining (in medical/clinical databases), risk mining, decision support systems, big data analytics, service-oriented computing in medicine, medical terminology
Jaideep Vaidya, PhD, Management Science and Information Systems, Rutgers University, USA
Data mining, data management, security, and privacy
Pierangelo Veltri, PhD, Department of Surgical and Clinical Science, University Magna Gracie of Catanzaro, Italy
Bioinformatics, database, health informatics, informatic systems
Fei Wang, PhD, Department of Healthcare Policy and Research, Weill Cornell Medicine, Cornell University, USA
Data mining algorithms development and their applications in various health informatics problems
Jens Weber, PEng, PhD, Software Engineering, University of Victoria, Canada
Security engineering, medical informatics, requirements engineering, computational intelligence, data and knowledge engineering, software engineering
Chih-Ping Wei, PhD, Department of Information Management, National Taiwan University, Taiwan
Data mining, knowledge management, information retrieval and text mining, patent intelligence
Uffe Kock Wiil, PhD, SDU Healthcare Informatics, University of Southern Denmark, Denmark
Health informatics, data-driven health technology, data analytics and visualization, user involvement, software technologies, social network analysis and mining, and innovation management
Janusz Wojtusiak, PhD, George Mason University, USA
Machine learning and artificial intelligence methods applied to clinical and administrative data
Ping Zhang, PhD, Department of Biomedical Informatics, Department of Computer Science and Engineering, The Ohio State University, USA
Data mining, machine learning and their applications to biomedical informatics