JBHI presents

Associate Editors

Haider Abbas
National University of Sciences and Technology (NUST), Pakistan

Information Assurance and Governance, Healthcare Data Security and Privacy, Cyber Physical System (CPS) Security, Cloud-Assisted Internet of Things (IoTs) Security, Wireless Body Area Networks (WBAN) Security.

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Ehsan Adeli
Stanford University, USA

Machine Learning, Computational Neuroscience, Computer Vision, AI-Assisted Healthcare, Structural and Functional Neuroimaging

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Oliver Amft
Friedrich Alexander University Erlangen-Nuremberg (FAU)

Research Interests:
Context recognition, digital health, wearable computing, biomedical
sensor technology, pattern recognition, embedded systems, digital
fabrication.

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Anca Bucur
Philips Research, Precision and Decentralized Diagnostics Department, The Netherlands

Clinical research informatics, clinical decision support, clinical pathways and clinical workflow optimization, healthcare information management, interoperability.

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Francesca Buffa
Department of Oncology, University of Oxford, UK

Computational Biology, Bioinformatics, genomics, transcriptomics.

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Barbara Di Camillo
Department of Information Engineering, University of Padova, Italy

Bioinformatics, Systems Biology, Predictive Modeling, Biological Networks, Machine Learning

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Paulo de Carvalho
University of Coimbra , Portugal

Adaptive computational techniques with application to bio-signals (particularly, for cardiovascular applications), pattern recognition, modelling and Clinical Informatics.

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M. Emre Celebi
Department of Computer Science, University of Central Arkansas, USA

Medical image analysis, dermoscopy, data mining, machine learning, and pattern recognition

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Wei Chen
Fudan University, China

Medical monitoring system, patient health monitoring, neonatal monitoring, brain activity monitoring, smart sleep, smart rehabilitation system, wireless body area networks, wearable sensor systems, internet of things, ambient intelligence, personalized and smart environment, smart sensor systems, and signal processing.

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Maggie Cheng
Illinois Institute of Technology, USA

Time Series Analysis, Anomaly Detection and Diagnosis, Causal Analysis in Networked Systems, Machine Learning, Physics-Informed Deep Learning, Graph Theory, Complex Network Analysis, Structural and Functional Connectivity Analysis and Inference in Brain Networks.

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Francesco Ciompi
Radboud University Medical Center, Netherlands

Computational Pathology, Artificial Intelligence, Deep Learning, Immuno-oncology

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Diane Cook
Washington State University, USA

Machine learning, mobile health, human behavior recognition and analysis, ambient assisted living.

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Andrew Dowsey
University of Bristol, UK

Proteomics, metabolomics, mass spectrometry, medical image computing, biomedical image analysis, statistical signal processing, biostatistics, bioinformatics, biomarker discovery.

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Mohamed Elhoseny
Faculty of Computers and Information, Mansoura University, Egypt

Intelligent Systems, Sensors & Ad-hoc Networks, Internet of Things (IoT), Data Security, Healthcare data Analysis, Optimization Algorithms, and Smart Cities Applications.

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Bjoern Eskofier
Friedrich-Alexander University Erlangen-Nuernberg, Germany

Body sensor networks; smart point-of-care and wireless physiological monitoring devices embedded system design, autonomic sensing, wearable and assistive devices for rehabilitation, well-being and ageing population; Electronic health record; intelligent interpretation of health data, decision support systems, remote guidance and virtual reality applications in diagnostic and therapeutic procedures. Pervasive healthcare, wellness management.

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Guoliang Fan
Oklahoma State University, USA

Biomedical image analysis, human motion analysis, markerless motion estimation, human motion modeling, manifold learning.

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Giuseppe Fico
Universidad Politécnica de Madrid, Spain

Clinical Engineering, Human Computer Interaction, Telemedicine, Electronic Health Records

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Nenad D. Filipovic
University of Kragujevac, Serbia

Biomedical engineering, cardiovascular disease, fluid-structure interaction, biomechanics, bioinformatics, biomedical image processing, medical informatics, multi-scale modeling, data mining, software engineering, parallel computing, computational chemistry and bioprocess modeling.

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Karl Friedl
Industry/Tech Transfer/Government Subcommittee Chair Professor UCSF School of Medicine, USA

Mathematical physiology, physiological monitoring sensors and algorithms, remote neurophysiological monitoring and biofeedback, early detection of neurodegenerative diseases, limits of human performance modeling.

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Huazhu Fu
Inception Institute of Artificial Intelligence, Abu Dhabi, UAE

Medical image analysis, medical image segmentation, machine learning, deep learning, multi-view/modal representation learning.

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Tourassi Georgia
Oak Ridge National Laboratory, USA

Medical image analysis, natural language processing, clinical decision support, human-computer interaction, artificial intelligence, scalable data-driven biomedical discovery, and high performance computing.

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Hassan Ghasemzadeh
Washington State University, USA

Embedded & Pervasive Systems, Algorithm Design, Context-Aware Computing, Cyber Physical Systems, Collaborative Processing, Design for Scalability & Robustness, Power-Aware Design, Computational Autonomy, Data Analytics, Transfer Learning, Mobile & Wireless Health, Fall Monitoring & Prevention, Sports Training.

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Daniela Giordano
University of Catania, Italy

Pattern recognition and knowledge discovery from large scale, heterogeneous data, biosignal processing (EEG, eye-tracking data), computer vision, deep learning, multimodal adaptive interaction, social robots for assistive/rehabilitation activities, cognitive computing in medical systems.

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Aris Gkoulalas-Divanis
IBM Watson Health, Cambridge, MA, USA

Healthcare Information Management Platforms, Healthcare Data Security and Privacy, Large Scale Data Mining / Analytics, Privacy-Preserving Data Mining, Clinical Decision Support Systems, Pervasive / Ubiquitous Computing, Healthcare Applications.

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Adam W. Hoover
Clemson University, USA

Tracking systems, image and signal processing, state space modelling, filtering, embedded computing, and mHealth.

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Omer T. Inan
Georgia Institute of Technology, USA

Non-invasive physiological monitoring, human health and performance, cardiomechanical signals, chronic disease management, home monitoring of health and disease.

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Roozbeh Jafari
Texas A&M University, USA

Wearable computing, body sensor networks (BSN), mobile health, signal processing, design and analysis of cyber physical systems (CPS), physiological sensing, circuits and systems for electroencephalography, low power and light-weight embedded system design and optimization.

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Ning Jiang
University of Waterloo, Canada

Biological signal (EEG, EMG, ECG etc.) processing, myoelectric control, brain computer interface, man-machine interface, neuromuscular system modeling, powered Orthotics, motor rehabilitation for stroke, neural plasticity.

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Steffen Leonhardt
Helmholtz Institute for Biomedical Engineering, RWTH Aachen University, Germany

Body Sensor Networks, Wearable Sensors, Signal processing, Non-invasive physiological monitoring, Machine Learning, Medical Instrumentation, Bioimpedance, Gerontotechnology.

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Jie Liang
University of Illinois at Chicago, USA

Systems biology, bionano-devices, structural bioinformatics, molecular stochastic networks, wound healing, and cellular pattern formation.

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Benny Lo
Imperial College London, UK

Computer Vision, Temporal Tracking, Machine Learning, Image segmentation, Stochastic inferencing, Body Sensor Networks, Pervasive/Ubiquitous Computing.

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Konstantinos Marias
Hellenic Mediterranean University and Foundation for Research & Technology Hellas, Greece

Medical image analysis and computing, Radiomics and Radiogenomics, Imaging Informatics, AI applications in medical imaging and personalised medicine informatics.

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Ashish Pandharipande
Philips Research, The Netherlands

Sensor signal processing, Data analytics, Wireless communication technologies, Control systems, Body sensor networks, Signal processing and control techniques for healthcare and personal well-being applications.

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Zhibo Pang
ABB Corporate Research, Sweden

Industry4.0, healthcare 4.0, healthcare informatics, hospital automation, home healthcare, elderly healthcare, medical robotics, wireless sensor and actuator networks, cyber physical systems, Internet-of-Things.

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Constantinos S. Pattichis
University of Cyprus, Cyprus

e-Health, m-Health, and e-Emergency systems, medical image analysis systems (MRI, ultrasound, endoscopy, microscopy), biosignal analysis systems (electromyography), computational intelligence in medical systems, life sciences informatics.

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Leandro Pecchia
University of Warwick, UK

Biomedical time-series, machine learning and deep-learning, health technology assessment (HTA), reverse engineering for early stage health economics, biomedical regulatory science, clinical engineering, healthy ageing, chronic non-communicable disease, prediction and prevention of falls.

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Julien Penders
Bloom-life Inc., USA

Wearable sensors, Physiological sensors, Body Sensor Networks, Predictive health, Digital health.

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Carmen Poon
The Chinese University of Hong Kong, HKSAR

Wearable health systems, body sensor network, mobile health (m-Health) technologies, biosensors, flexible electronics, wireless capsule, minimally invasive surgical technologies, and surgical robots.

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Vicente Traver Salcedo
ITACA – Universitat Politecnica de Valencia, Spain

Digital health, Health Internet of Thing, process mining, patient empowerment, digital health literacy, mobile health

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Edward Sazonov
University of Alabama, USA

Body sensor networks; wearable, ingestible and implantable systems; biosensor design, miniaturisation and embodiment; smart point-of-care and wireless physiological monitoring devices (e.g. ECG, EMG, EEG and PPG); ASIC and embedded system design, on-node processing, smart devices and app development; autonomic sensing, distributed inference, context aware sensing and multi-sensor fusion; wearable and assistive devices for rehabilitation, well-being and ageing population.

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Enzo Pasquale Scilingo
School of Engineering, University of Pisa

Biomedical signal processing, wearable monitoring systems, mobile health, man-machine interface, mental disorders, autonomic nervous system, affective computing

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Caifeng Shan
Philips Research, The Netherlands

Computer Vision, Pattern Recognition, Image/Video Processing and Analysis, Machine Learning, Medical Image Analysis, Bio-medical imaging, Healthcare applications

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Dinggang Shen
United Imaging Intelligence (UII), Shanghai, China

Medical image analysis, computer vision, and pattern recognition.

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Toshiyo Tamura
Chiba University, Japan

Medical instrumentation and transducers, rehabilitation engineering, assistive technology, home health care devices.

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Jie Tian
Institute of Automation, CAS, China

Molecular imaging, Medical image analysis, and pattern recognition.

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Sotirios A. Tsaftaris
The University of Edinburgh, UK

Medical image analysis and processing, machine (deep) learning, big data in medical imaging, phenotyping, image and video compression.

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Vincent S. Tseng
National Cheng Kung University, Taiwan

Biomedical data mining, health informatics analytics, biomarker discovery, health risk assessment/modelling, telecare systems, mobile health, knowledge discovery in electronic medical records.

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Manolis Tsiknakis
Technological Educational Institute of Crete and FORTH, Greece

Semantic health data integration, smart eHealth and mHealth service platforms, ubiquitous sensor-based human behavior modeling, activity and context recognition, affective computing, socio-economic aspects of eHealth and mHealth technologies and services.

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Bart Vanrumste
KU Leuven, Belgium

Wearables, IOT sensors in healthcare, machine learning, digital signal processing, digital image processing.

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Ken C. L. Wong
IBM Research Almaden, USA

Medical image analysis, medical image segmentation, machine learning, deep learning, biomechanics, computational physiology (cardiac physiology and tumor growth), model personalization.

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Winston Wu
Pharmaco-Kinesis Corporation, USA

Wireless body-worn devices, embedded networked systems integrating sensor information processing, embedded inference, and internetworked devices.

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Ziyue Xu
Nvidia, USA

Medical image analysis, computer vision, shape modelling, graph methods, and machine learning.

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Hui Yang
Pennsylvania State University, USA

Health Internet of Things, Physiological signal processing and informatics, Computer Simulation and modeling of cardiovascular systems, Design and Analysis of Biomedical Experiments, Nonlinear Dynamics and Chaos, Biosensing and data mining.

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Jianhua Yao
Tencent, China

Medical image analysis, digital pathology, endoscopic image, clinical decision support, precision medicine

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Shuayb Zarar
Microsoft, USA

Machine Learning, Deep Learning, Neural Networks, Representation Learning, Transfer Learning, Sensor Informatics, Context-aware Computing, Wearable Computing, Embedded Systems, Signal Processing, Sensor- based Localization, Human-behavior Inference, Context Recognition, Human Performance Monitoring, Cloud- assisted Internet-of-Things, Ambient Intelligence, Wireless Body Area Networks.

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Michalis Zervakis
Technical University of Crete, Greece

Computational biology, organ/system/disease-level informatics, computer aided diagnosis, and decision support; multi-scale image fusion, visualization, electronic health records, hospital information systems, decision support systems, virtual reality applications in diagnostic and therapeutic procedures.

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Yuan Zhang
College of Electronic and Information Engineering, Southwest University, China

Wearable sensing for smart health, Machine learning for auxiliary diagnosis, Sleep health, Neuro engineering, Biomedical signal processing, Biomedical big data analytics.

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Zhiqiang Zhang
University of Leeds, UK

Body Sensor Networks, Pervasive Sensing, Digital Medicine, Biomotion/Gait Analysis, Human Biomechanics, Rehabilitation robotics, Neuro-Rehabilitation, Physiological Signal Processing.

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Guoyan Zheng
Shanghai Jiao Tong University, China

Medical image computing, machine learning, deep learning, image-guided surgery, computer-assisted interventions, medical robotics, musculoskeletal image analysis, clinical decision support, endoscopic image, statistical shape and deformation analysis, medical image segmentation, and medical image registration

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Reyer Zwiggelaar
Aberystwyth University, UK

Computer vision, image analysis, mammography, breast cancer, prostate cancer, biometrics, machine learning, manifold learning.

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