Editorial Board Research Areas of Interest


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, Universit√© 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