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.
Machine Learning, Computational Neuroscience, Computer Vision, AI-Assisted Healthcare, Structural and Functional Neuroimaging
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.
Context recognition, digital health, wearable computing, biomedical
sensor technology, pattern recognition, embedded systems, digital
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.
Research Interests: Artificial intelligence, Machine Learning, Biomedical Imaging, Image Segmentation, Computer Aided Diseases, Infectious Disease and Cancer Imaging
Clinical research informatics, clinical decision support, clinical pathways and clinical workflow optimization, healthcare information management, interoperability.
Bioinformatics, Systems Biology, Predictive Modeling, Biological Networks, Machine Learning
Adaptive computational techniques with application to bio-signals (particularly, for cardiovascular applications), pattern recognition, modelling and Clinical Informatics.
Medical image analysis, dermoscopy, data mining, machine learning, and pattern recognition
Research Interests: Trustworthy AI, Medical Image Analysis, Deep Learning, Computer Vision, Bioinformatics
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.
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.
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.
Healthcare Mechatronics, Medical Robotics, Computer-Assisted Surgery, Collaborative Robotics, Computer Vision, Artificial Intelligence, Machine/Deep Learning, and Biomedical Sensor Technologies.
Machine learning, mobile health, human behavior recognition and analysis, ambient assisted living.
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.
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.
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.
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.
Biomedical image analysis, human motion analysis, markerless motion estimation, human motion modeling, manifold learning.
Clinical Engineering, Human Computer Interaction, Telemedicine, Electronic Health Records
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.
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.
Mathematical physiology, physiological monitoring sensors and algorithms, remote neurophysiological monitoring and biofeedback, early detection of neurodegenerative diseases, limits of human performance modeling.
Medical image analysis, medical image segmentation, machine learning, deep learning, multi-view/modal representation learning.
Medical image analysis, natural language processing, clinical decision support, human-computer interaction, artificial intelligence, scalable data-driven biomedical discovery, and high performance computing.
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.
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.
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.
Tracking systems, image and signal processing, state space modelling, filtering, embedded computing, and mHealth.
Research Interests: computational Intelligence, biomedical image processing, optimization techniques.
Non-invasive physiological monitoring, human health and performance, cardiomechanical signals, chronic disease management, home monitoring of health and disease.
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.
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.
Research Interests: image processing, machine learning, medical image analysis, computer-aided diagnosis, and digital and analog signal processing.
Medical image analysis, cardiovascular imaging, cancer imaging, computer aided diagnosis, clinical decision support systems, predictive modelling, artificial intelligence in medicine, evaluation of artificial intelligence tools, biomedical data platforms.
Body Sensor Networks, Wearable Sensors, Signal processing, Non-invasive physiological monitoring, Machine Learning, Medical Instrumentation, Bioimpedance, Gerontotechnology.
Systems biology, bionano-devices, structural bioinformatics, molecular stochastic networks, wound healing, and cellular pattern formation.
Health data science, interpretable machine learning, explainable artificial intelligence, biomedical signal analysis, electronic health record, and clinical decision making
Research Interests: biomedical Image, analysis, healthcare bigdata, deep Learning.
Computer Vision, Temporal Tracking, Machine Learning, Image segmentation, Stochastic inferencing, Body Sensor Networks, Pervasive/Ubiquitous Computing.
Medical image analysis and computing, Radiomics and Radiogenomics, Imaging Informatics, AI applications in medical imaging and personalised medicine informatics.
Research Interests: medical video processing and analysis, medical video communications, mHealth/ eHealth/ Telehealth, deep learning, computer vision.
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.
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.
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.
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.
Wearable sensors, Physiological sensors, Body Sensor Networks, Predictive health, Digital health.
Wearable health systems, body sensor network, mobile health (m-Health) technologies, biosensors, flexible electronics, wireless capsule, minimally invasive surgical technologies, and surgical robots.
Digital health, Health Internet of Thing, process mining, patient empowerment, digital health literacy, mobile health
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.
Biomedical signal processing, wearable monitoring systems, mobile health, man-machine interface, mental disorders, autonomic nervous system, affective computing
Computer Vision, Pattern Recognition, Image/Video Processing and Analysis, Machine Learning, Medical Image Analysis, Bio-medical imaging, Healthcare applications
Medical image analysis, computer vision, and pattern recognition.
Research Interests: wearable sensors, machine learning, hand gesture recognition, wearable haptics, movement training and rehabilitation, gait biomechanics, human computer interaction.
Research Interests: multimedia data hiding, image processing, biometrics & Cryptography.
Computer Vision, Ambient Health Monitoring, AI-Assisted Healthcare
Medical instrumentation and transducers, rehabilitation engineering, assistive technology, home health care devices.
Molecular imaging, Medical image analysis, and pattern recognition.
Biomedical data mining, health informatics analytics, biomarker discovery, health risk assessment/modelling, telecare systems, mobile health, knowledge discovery in electronic medical records.
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.
Research Interests: monitoring health, diagnosis and prognosis of neurological, psychiatric and neurodegenerative conditions
Medical image analysis, medical image segmentation, machine learning, deep learning, biomechanics, computational physiology (cardiac physiology and tumor growth), model personalization.
Wireless body-worn devices, embedded networked systems integrating sensor information processing, embedded inference, and internetworked devices.
Medical image analysis, computer vision, shape modelling, graph methods, and machine learning.
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).
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.
Medical image analysis, digital pathology, endoscopic image, clinical decision support, precision medicine
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.
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.
Body Sensor Networks, Pervasive Sensing, Digital Medicine, Biomotion/Gait Analysis, Human Biomechanics, Rehabilitation robotics, Neuro-Rehabilitation, Physiological Signal Processing.
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
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.
Computer vision, image analysis, mammography, breast cancer, prostate cancer, biometrics, machine learning, manifold learning.