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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Qammer Abbasi
University of Glasgow, UK

Contactless sensing, wearable, implants, RF sensing, radar sensing, antennas, plant health, sensing, animal health, remote healthcare

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Syed Hassan Ahmed
JMA Wireless, USA

Research Interests: Sensor and Ad hoc Networks, Cyber-Physical Systems, Future Internet, Internet of Medical Things, Artificial Intelligence in Medical Field, Machine Learning Algorithms for Medical Data Processing, and Medical Big Data Analysis.

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Mannini Andrea
IRCCS Fondazione Don Carlo Gnocchi, Italy

Machine Learning (data and signals), Clinical outcome prediction (neurorehabilitation), Clinical decision support systems (neurorehabilitation), Wearable inertial sensors

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Amira S. Ashour
Electronics and Electrical Communications Engineering Department, Faculty of Engineering, Tanta University, Egypt

Research Interests: biomedical Engineering, Medical Devices, Biomedical Sensors, Ablation Therapy, Computer-aided Diagnosis Systems, Medical Imaging, Medical Image Analysis, Machine Learning, AI-Assisted Healthcare, Simulation and Modeling, Optimization Algorithms, Neutrosophic Theory, Smart Antenna, Target Tracking, and Direction of Arrival Estimation.

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

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

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Prof. Junyi Cao
Professor of Mechanical Engineering, Xi'an Jiaotong University

Junyi Cao is a Full Professor of Mechanical Engineering at Xi'an Jiaotong University. He received the Ph.D. degree of mechanical engineering from Xi’an Jiaotong University, Xi’an, China, in 2006. From September 2013 to September 2014, he was a visiting scholar with the Department of Aerospace Engineering, University of Michigan, Ann Arbor. Now, he is a director of the Institute of Design Science and Basic Components at Xi'an Jiaotong University and vice Chair of Society of Shaanxi Vibration Engineering. His main research interests include wearable biomedical sensors, Medical intelligent diagnosis, Neurodegenerative diseases, Robot-aided diagnosis system, Gait modeling and dynamics, Biomedical information fusion, Clinical health monitoring, Deep learning. He is a recipient of 2021 Best Paper Award of ASME Journal of Vibration and Acoustics, First Prize in Natural Science of Shaaxi Provine Education, 2017 IOP Best Poster Paper Award at 4th Workshop in Devices, Materials and Structures for Energy Harvesting and Storage.

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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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Hao Chen
Department of Computer Science and Engineering, The Hong Kong University of Science and Technology

Research Interests: Trustworthy AI, Medical Image Analysis, Deep Learning, Computer Vision, Bioinformatics

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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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Xing Chen
Jiangnan University, China

Research Interests: bioinformatics, computational biology, systems biology, association prediction, computational model, microRNA, lncRNA, non-coding RNA, drug discovery, drug combination, complex disease, drug response prediction.

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Gastone Ciuti
Scuola Superiore Sant’Anna (SSSA), Italy

Healthcare Mechatronics, Medical Robotics, Computer-Assisted Surgery, Collaborative Robotics, Computer Vision, Artificial Intelligence, Machine/Deep Learning, and Biomedical Sensor Technologies.

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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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Cristiano André da Costa
Universidade do Vale do Rio dos Sinos – Unisinos São Leopoldo - RS, Brazil

Research Interests:

Medical Informatics, Health Records, Internet of Things, Distributed Systems, Mobile and Distributed Computing, Sensors and Wearables, Interoperability, Ubiquitous Computing, Telemedicine, Intelligent Interpretation of Health Data, and Ontologies and Web Semantics.

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Silvia Del Din
Translational and Clinical Research Institute, Newcastle University, UK

Research Interests: sensor Informatics –wearable, wearable and assistive devices for rehabilitation, well-being and ageing population, algorithms, wearable technology, digital mobility outcomes, gait/ walking, postural control, Parkinson’s disease.

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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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Andrea Facchinetti
University of Padova, Italy

Research Interests: Machine learning; Clinical decision support systems; Simulation and modeling; Biomedical signal processing; Predictive modeling; Clinical engineering; Mobile health systems; Mobile applications; Wearable biomedical sensors.

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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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Giancarlo Fortino
Computer Engineering, Università della Calabria, Italy

Research Interests: human-Machine Systems, Wearable Computing, Internet of Things computing and technology, agent-based computing, body area networks, wireless sensor networks, pervasive and cloud computing, multimedia networks, and mobile health systems.

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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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Behnaz Ghoraani
Florida Atlantic University, US

Biomedical signal analysis, Machine learning, Wearable and assistive devices for rehabilitation, Remote home monitoring, Deep learning, Computer-aided clinical decision making

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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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Jude Hemanth
Karunya University, Coimbatore, India

Research Interests: computational Intelligence, biomedical image processing, optimization techniques.

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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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Fahmi Khalifa
Electrical and Computer Engineering, Mitchell School of Engineering, Morgan State University, Baltimore, USA

Research Interests: image processing, machine learning, medical image analysis, computer-aided diagnosis, and digital and analog signal processing.

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Dr. Julien Le Kernec
University of Glasgow, UK

Radar for assisted living and veterinarian applications, Future radar systems, 5G/6G

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Baiying Lei
Shenzhen University, Shenzhen, China

Medical Image Computing, Medical Ultrasound Image Analysis, Alzheimer’s Disease Diagnosis, Artificial Intelligence in Medicine, Tumor Detection, AI-driven Health Informatics, Bioinformatics, Brain Disease Analysis, Longitudinal Study

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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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Jerry Chun-Wei Lin
Western Norway University of Applied Sciences, Norway

Artificial Intelligence and Deep Learning, Data Analytics and Mining of Health Informatics, NLP modeling in Mental Health, Internet of Medical Things (IoMT)

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Tianming Liu
Department of Computer Science and Bioimaging Research Center University of Georgia, Georgia

Research Interests: biomedical Image, analysis, healthcare bigdata, deep Learning.

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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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Dr. Priyan Malarvizhi Kumar
University of North Texas, USA

Wearable Sensors, Internet of Medical Things (IoMT), Machine Learning, Data Science, Wearable Sensor Systems, Internet of Things, Security and Privacy in Health Care & AI-driven Health Informatics.

Dr. Priyan Malarvizhi Kumar is currently an Assistant Professor at the University of North Texas in the United States. Prior to this role, he served as an Assistant Professor at both Gannon University in the USA and Kyung Hee University in South Korea. He also gained valuable experience during his time as a Postdoctoral Research Fellow at Middlesex University in London, UK. Dr. Kumar earned his Ph.D. degree from Vellore Institute of Technology.

His ongoing research encompasses various domains, including Big Data Analytics, Internet of Things (IoT), Internet of Everything (IoE), and Internet of Vehicles (IoV), with a specific focus on healthcare applications. Dr. Kumar has authored and co-authored numerous papers that have been published in prestigious international journals and conferences, including those indexed by the Science Citation Index (SCI) such as IEEE transactions and ACM Transactions. In addition to his academic contributions, Dr. Kumar serves as an Editorial board member for the International Journal of Data Science and Analytics published by Springer and the IoT Journal published by MDPI. Furthermore, he holds the position of Associate Editor for the International Journal of Wireless Networks and Broadband Technologies (IJWNBT) published by IGI and the IEEE Journal of Biomedical Health Informatics.

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Vasileios Megalooikonomou
Professor and Director, University of Patras

Professor and Director,
Database Systems Laboratory
Multidimensional Data Analysis and Knowledge Management Laboratory
Computer Engineering and Informatics Department
University of Patras

Prof. Vasileios Megalooikonomou received his B.S. in CS&CE from Univ. of Patras, Greece in 1991, and his M.S. and Ph.D. in CS from Univ. of Maryland, USA, in 1995 and 1997, respectively. He has been on the faculty of Johns Hopkins Univ., Dartmouth College, Temple Univ. and Univ. of Patras where he is a Professor and Director of the Database Systems Laboratory. He has co-authored over 260 refereed articles in journals and conference proceedings and seven book chapters. His work has attracted over 4300 citations (h-index:34). His research interests include big data management and analytics, machine learning, biomedical informatics, medical imaging, decision support systems, and IoT. He is a member of the ACM, IEEE, SIAM, and SPIE. He received a CAREER award from the National Science Foundation (NSF) in 2003 to work on developing data mining methods for extracting patterns from medical databases. In the US he has served as a PI or a co-PI on research projects supported by National Science Foundation, National Institutes of Health, Pennsylvania Department of Health and the Lockheed Martin Corporation. He has served as the scientific coordinator/coordinator of a number of national and European projects including the FP7 ARMOR project, the BIOMEDMINE project and the H2020 FRAILSAFE project.

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Andrea Moglia
University of Pisa, Italy

Robot-assisted Surgery, Computer-Assisted Surgery, Medical image segmentation, Artificial Intelligence for Medical Image and Video analysis, Machine/Deep Learning, Telemedicine

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Bobak J. Mortazavi, Ph.D.
Associate Professor, Texas A&M University

Associate Professor, Department of Computer Science & Engineering, Center for Remote Health Technologies and Systems, Texas A&M University

Assistant Professor Adjunct, Center for Outcomes Research and Evaluation, Yale School of Medicine, Yale University

Research Themes

  • Systems and Analytics for Personalized Digital Health: Design of machine learning methods for clinical outcomes using multimodal modeling and clinician-in-the-loop time-varying, dynamic risk prediction.
  • Personalized Sensing and IoMT: Design of analytics to connect Internet of Medical Things to clinical outcomes research for personal and remote sensing and digital health.
  • Translational Clinical Outcomes Research: Implement techniques to enable clinical translation and facilitate clinical interventions, observational comparative effectiveness, and improve outcomes.

HIGHLIGHTS

  • Research: Establishing research that serves as an integral bridge for interdisciplinary teams in creating novel sensing, developing advanced analytics, and facilitating clinical translation. Google Scholar H-Index: 29.
    • Produced first analytic models to automate diet monitoring from continuous glucose monitors.
    • Designed advanced analytics for novel wearable sensors to create cuffless blood pressure monitors.
    • Developed new machine learning techniques for dynamic, adaptable clinical outcomes research.
  • Teaching: Design of machine learning classes to promote digital health. Teaching machine learning and capstone courses with a focus on translation.
  • Service: Integrating objectives and connecting communities through service.
    • Serving cross-cutting disciplines in engineering (Associate editor ACM Transactions on Computing for Healthcare) and health sciences (Associate statistical editor, AHA Circulation: Cardiovascular Quality and Outcomes), and the Journal of the American College of Cardiology
    • Served in conference organization leadership for several flagship conferences including IEEE BSN, IEEE BHI, and AHLI CHIL.
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Paolo Napoletano
University of Milan, Italy

Artificial Intelligence, Machine and Deep Learning, Computer Vision, Pattern Recognition, Intelligent Sensors, Biological signal processing, Human-Machine Systems, Digital Health, AI-Assisted Healthcare, Telemonitoring, Telehealth, Intelligent Consumer Technologies, Internet of Things

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Andreas S. Panayides
Co-founder and R&D Director, 3AE Health LTD (3AHealth), Cyprus

Research Interests: medical video processing and analysis, medical video communications, mHealth/ eHealth/ Telehealth, deep learning, computer vision.

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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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Georgios Papanastasiou
University of Essex, UK

Imaging Informatics, Medical Informatics, Public Health Informatics, Multi-Modal AI

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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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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, Italy

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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Peter Bradley Shull
School of Mechanical Engineering Shanghai Jiao Tong University, China

Research Interests: wearable sensors, machine learning, hand gesture recognition, wearable haptics, movement training and rehabilitation, gait biomechanics, human computer interaction.

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Amit Kumar Singh
Department of Computer Sc. & Engineering National Institute of Technology Patna, India

Research Interests: multimedia data hiding, image processing, biometrics & Cryptography.

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Andrzej Skalski, Ph.D., DSc
AGH University of Krakow, Poland

Research interests: immersive techniques, augmented/mixed/virtual realities, medical navigation systems, computer-aided surgery, medical image analysis, image registration

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Jiangning Song
Monash University, Australia

Bioinformatics, Medical Image Analysis, Computational Biology, Machine Learning, Pattern Recognition, Predictive Modeling, Systems Biology

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Silvia Francesca Storti
University of Verona, Italy - BrainNAVigationLab

Brain Computer Interfaces, Multimodal functional neuroimaging integration (EEG/high-density EEG, fMRI, ASL, EEG-TMS data), Brain functional connectivity inference, Network analysis in health and clinical applications (epilepsy, stroke, neurodegenerativediseases, etc.)

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Abdulhamit Subasi, Ph.D.
Professor, University of Turku Faculty of Biomedicine Institute of Biomedicine

Artificial Intelligence, Machine Learning and Biomedical Image Data Processing

Prof. Abdulhamit Subasi is specialized in Artificial Intelligence, Machine Learning, Biomedical Signal and Image Processing. He is also author of the books, “Practical Guide for Biomedical Signals Analysis Using Machine Learning Techniques” and “Practical Machine Learning for Data Analysis Using Python”. Since 2020, he has been working as a Professor of medical physics at Faculty of Medicine, University of Turku, Turku, Finland .

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Babak Taati
KITE Research Institute | Toronto Rehab – University Health Network and University of Toronto

Research Interests:
Computer Vision, Ambient Health Monitoring, AI-Assisted Healthcare

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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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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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Maarten De Vos
KU Leuven, Belgium

Research Interests: monitoring health, diagnosis and prognosis of neurological, psychiatric and neurodegenerative conditions

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Xiaosong Wang
Shanghai Artificial Intelligence Laboratory, China

Keywords: Medical image analysis, machine learning, deep learning, vision and language, large-scale medical data, federated learning

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Naoufel Werghi
Khalifa University, Abu-Dhabi, UAE

Medical Imaging, Computer Aided Diagnosis, Imaging Biomarkers, Data science and data engineering for biomedicine and health, Machine learning and artificial intelligence methodologies for biomedical data analysis and interpretation

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Jonghye Woo
Harvard Medical School and Gordon Center for Medical Imaging, Massachusetts General Hospital

Keywords: Medical Image Analysis, Medical Imaging, Machine Learning, Biomechanics

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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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Wei Wu
Alto Neuroscience, Inc., CA, USA

Precision Mental Health, Biomarker Development and Validation, Biomedical Signal Processing, Neural Engineering, Electroencephalography (EEG)

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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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Geng Yang
Zhejiang University (ZJU), China

Research Interests: robot sensing and its applications in healthcare, Human-Robot Interface & Safe Interaction
Human Cyber Physical Systems(H-CPS), Flexible circuits & sensors and heterogeneous integration, Biomedical micro-circuits and systems, Health Internet-of-Things (IoT).

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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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Zheng Zhang
Harbin Institute of Technology, Shenzhen, China

Medical Image Analysis, Machine Learning, Manifold Learning, Multimodal Diagnosis, Trustworthy AI

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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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Huiyu Zhou
School of Informatics, University of Leicester, United Kingdom

Research Interests: machine learning, artificial intelligence, data mining and image analysis. He is keen to develop novel statistical models and deep learning based approaches to solve research problems in manufacturing, healthcare, materials, earth observation, robotics and social sciences.

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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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